id	sid	tid	token	lemma	pos
bracis-28394	1	1	autommlc	autommlc	NOUN
bracis-28394	1	2	:	:	PUNCT
bracis-28394	1	3	an	an	DET
bracis-28394	1	4	automated	automate	VERB
bracis-28394	1	5	and	and	CCONJ
bracis-28394	1	6	 	 	SPACE
bracis-28394	1	7	multi	multi	ADJ
bracis-28394	1	8	-	-	ADJ
bracis-28394	1	9	objective	objective	ADJ
bracis-28394	1	10	method	method	NOUN
bracis-28394	1	11	for	for	SCONJ
bracis-28394	1	12	 	 	SPACE
bracis-28394	1	13	multi	multi	ADJ
bracis-28394	1	14	-	-	ADJ
bracis-28394	1	15	label	label	ADJ
bracis-28394	1	16	classification	classification	NOUN
bracis-28394	1	17	|	|	NOUN
bracis-28394	1	18	springer	springer	NOUN
bracis-28394	1	19	nature	nature	PROPN
bracis-28394	1	20	link	link	PROPN
bracis-28394	1	21	(	(	PUNCT
bracis-28394	1	22	formerly	formerly	ADV
bracis-28394	1	23	springerlink	springerlink	NOUN
bracis-28394	1	24	)	)	PUNCT
bracis-28394	1	25	skip	skip	VERB
bracis-28394	1	26	to	to	ADP
bracis-28394	1	27	main	main	ADJ
bracis-28394	1	28	content	content	NOUN
bracis-28394	1	29	advertisement	advertisement	NOUN
bracis-28394	1	30	log	log	NOUN
bracis-28394	1	31	in	in	ADP
bracis-28394	1	32	menu	menu	NOUN
bracis-28394	1	33	find	find	VERB
bracis-28394	1	34	a	a	DET
bracis-28394	1	35	journal	journal	NOUN
bracis-28394	1	36	publish	publish	VERB
bracis-28394	1	37	with	with	ADP
bracis-28394	1	38	us	we	PRON
bracis-28394	1	39	track	track	VERB
bracis-28394	1	40	your	your	PRON
bracis-28394	1	41	research	research	NOUN
bracis-28394	1	42	search	search	NOUN
bracis-28394	1	43	cart	cart	NOUN
bracis-28394	1	44	home	home	NOUN
bracis-28394	1	45	intelligent	intelligent	ADJ
bracis-28394	1	46	systems	system	NOUN
bracis-28394	1	47	conference	conference	NOUN
bracis-28394	1	48	paper	paper	NOUN
bracis-28394	1	49	autommlc	autommlc	NOUN
bracis-28394	1	50	:	:	PUNCT
bracis-28394	1	51	an	an	DET
bracis-28394	1	52	automated	automate	VERB
bracis-28394	1	53	and	and	CCONJ
bracis-28394	1	54	 	 	SPACE
bracis-28394	1	55	multi	multi	ADJ
bracis-28394	1	56	-	-	ADJ
bracis-28394	1	57	objective	objective	ADJ
bracis-28394	1	58	method	method	NOUN
bracis-28394	1	59	for	for	ADP
bracis-28394	1	60	 	 	SPACE
bracis-28394	1	61	multi	multi	ADJ
bracis-28394	1	62	-	-	ADJ
bracis-28394	1	63	label	label	ADJ
bracis-28394	1	64	classification	classification	NOUN
bracis-28394	1	65	conference	conference	NOUN
bracis-28394	1	66	paper	paper	NOUN
bracis-28394	1	67	first	first	ADV
bracis-28394	1	68	online	online	ADV
bracis-28394	1	69	:	:	PUNCT
bracis-28394	1	70	12	12	NUM
bracis-28394	1	71	october	october	NOUN
bracis-28394	1	72	2023	2023	NUM
bracis-28394	1	73	pp	pp	PROPN
bracis-28394	1	74	291–306	291–306	PROPN
bracis-28394	1	75	cite	cite	VERB
bracis-28394	1	76	this	this	DET
bracis-28394	1	77	conference	conference	NOUN
bracis-28394	1	78	paper	paper	NOUN
bracis-28394	1	79	access	access	NOUN
bracis-28394	1	80	provided	provide	VERB
bracis-28394	1	81	by	by	ADP
bracis-28394	1	82	university	university	PROPN
bracis-28394	1	83	of	of	ADP
bracis-28394	1	84	notre	notre	PROPN
bracis-28394	1	85	dame	dame	PROPN
bracis-28394	1	86	hesburgh	hesburgh	PROPN
bracis-28394	1	87	library	library	PROPN
bracis-28394	1	88	download	download	PROPN
bracis-28394	1	89	book	book	NOUN
bracis-28394	1	90	pdf	pdf	PROPN
bracis-28394	1	91	download	download	NOUN
bracis-28394	1	92	book	book	NOUN
bracis-28394	1	93	epub	epub	PROPN
bracis-28394	1	94	intelligent	intelligent	ADJ
bracis-28394	1	95	systems	system	NOUN
bracis-28394	1	96	(	(	PUNCT
bracis-28394	1	97	bracis	bracis	NOUN
bracis-28394	1	98	2023	2023	NUM
bracis-28394	1	99	)	)	PUNCT
bracis-28394	2	1	autommlc	autommlc	NOUN
bracis-28394	2	2	:	:	PUNCT
bracis-28394	2	3	an	an	DET
bracis-28394	2	4	automated	automate	VERB
bracis-28394	2	5	and	and	CCONJ
bracis-28394	2	6	 	 	SPACE
bracis-28394	2	7	multi	multi	ADJ
bracis-28394	2	8	-	-	ADJ
bracis-28394	2	9	objective	objective	ADJ
bracis-28394	2	10	method	method	NOUN
bracis-28394	2	11	for	for	ADP
bracis-28394	2	12	 	 	SPACE
bracis-28394	2	13	multi	multi	ADJ
bracis-28394	2	14	-	-	ADJ
bracis-28394	2	15	label	label	ADJ
bracis-28394	2	16	classification	classification	NOUN
bracis-28394	2	17	download	download	NOUN
bracis-28394	2	18	book	book	NOUN
bracis-28394	2	19	pdf	pdf	PROPN
bracis-28394	2	20	download	download	NOUN
bracis-28394	2	21	book	book	PROPN
bracis-28394	2	22	epub	epub	PROPN
bracis-28394	2	23	aline	aline	PROPN
bracis-28394	2	24	marques	marques	PROPN
bracis-28394	2	25	del	del	PROPN
bracis-28394	2	26	valle9,10	valle9,10	PROPN
bracis-28394	2	27	,	,	PUNCT
bracis-28394	2	28	rafael	rafael	PROPN
bracis-28394	2	29	gomes	gomes	PROPN
bracis-28394	2	30	mantovani11	mantovani11	PROPN
bracis-28394	2	31	&	&	CCONJ
bracis-28394	2	32	ricardo	ricardo	PROPN
bracis-28394	2	33	cerri10	cerri10	PROPN
bracis-28394	2	34	  	  	SPACE
bracis-28394	2	35	part	part	NOUN
bracis-28394	2	36	of	of	ADP
bracis-28394	2	37	the	the	DET
bracis-28394	2	38	book	book	NOUN
bracis-28394	2	39	series	series	NOUN
bracis-28394	2	40	:	:	PUNCT
bracis-28394	2	41	lecture	lecture	NOUN
bracis-28394	2	42	notes	note	NOUN
bracis-28394	2	43	in	in	ADP
bracis-28394	2	44	computer	computer	NOUN
bracis-28394	2	45	science	science	NOUN
bracis-28394	2	46	(	(	PUNCT
bracis-28394	2	47	(	(	PUNCT
bracis-28394	2	48	lnai	lnai	ADJ
bracis-28394	2	49	,	,	PUNCT
bracis-28394	2	50	volume	volume	NOUN
bracis-28394	2	51	14196	14196	NUM
bracis-28394	2	52	)	)	PUNCT
bracis-28394	2	53	)	)	PUNCT
bracis-28394	2	54	included	include	VERB
bracis-28394	2	55	in	in	ADP
bracis-28394	2	56	the	the	DET
bracis-28394	2	57	following	follow	VERB
bracis-28394	2	58	conference	conference	NOUN
bracis-28394	2	59	series	series	NOUN
bracis-28394	2	60	:	:	PUNCT
bracis-28394	2	61	brazilian	brazilian	ADJ
bracis-28394	2	62	conference	conference	NOUN
bracis-28394	2	63	on	on	ADP
bracis-28394	2	64	intelligent	intelligent	ADJ
bracis-28394	2	65	systems	system	NOUN
bracis-28394	2	66	531	531	NUM
bracis-28394	2	67	accesses	access	NOUN
bracis-28394	2	68	abstract	abstract	ADJ
bracis-28394	2	69	automated	automate	VERB
bracis-28394	2	70	machine	machine	NOUN
bracis-28394	2	71	learning	learning	NOUN
bracis-28394	2	72	(	(	PUNCT
bracis-28394	2	73	automl	automl	NOUN
bracis-28394	2	74	)	)	PUNCT
bracis-28394	2	75	has	have	AUX
bracis-28394	2	76	achieved	achieve	VERB
bracis-28394	2	77	high	high	ADJ
bracis-28394	2	78	popularity	popularity	NOUN
bracis-28394	2	79	in	in	ADP
bracis-28394	2	80	recent	recent	ADJ
bracis-28394	2	81	years	year	NOUN
bracis-28394	2	82	.	.	PUNCT
bracis-28394	3	1	however	however	ADV
bracis-28394	3	2	,	,	PUNCT
bracis-28394	3	3	most	most	ADJ
bracis-28394	3	4	of	of	ADP
bracis-28394	3	5	these	these	DET
bracis-28394	3	6	studies	study	NOUN
bracis-28394	3	7	have	have	AUX
bracis-28394	3	8	investigated	investigate	VERB
bracis-28394	3	9	alternatives	alternative	NOUN
bracis-28394	3	10	to	to	ADP
bracis-28394	3	11	single	single	ADJ
bracis-28394	3	12	-	-	PUNCT
bracis-28394	3	13	label	label	NOUN
bracis-28394	3	14	classification	classification	NOUN
bracis-28394	3	15	problems	problem	NOUN
bracis-28394	3	16	,	,	PUNCT
bracis-28394	3	17	presenting	present	VERB
bracis-28394	3	18	a	a	DET
bracis-28394	3	19	need	need	NOUN
bracis-28394	3	20	for	for	ADP
bracis-28394	3	21	more	more	ADJ
bracis-28394	3	22	investigations	investigation	NOUN
bracis-28394	3	23	in	in	ADP
bracis-28394	3	24	the	the	DET
bracis-28394	3	25	multi	multi	ADJ
bracis-28394	3	26	-	-	ADJ
bracis-28394	3	27	label	label	ADJ
bracis-28394	3	28	classification	classification	NOUN
bracis-28394	3	29	scenario	scenario	NOUN
bracis-28394	3	30	.	.	PUNCT
bracis-28394	4	1	from	from	ADP
bracis-28394	4	2	the	the	DET
bracis-28394	4	3	automl	automl	NOUN
bracis-28394	4	4	point	point	NOUN
bracis-28394	4	5	of	of	ADP
bracis-28394	4	6	view	view	NOUN
bracis-28394	4	7	,	,	PUNCT
bracis-28394	4	8	the	the	DET
bracis-28394	4	9	few	few	ADJ
bracis-28394	4	10	studies	study	NOUN
bracis-28394	4	11	on	on	ADP
bracis-28394	4	12	multi	multi	ADJ
bracis-28394	4	13	-	-	ADJ
bracis-28394	4	14	label	label	ADJ
bracis-28394	4	15	classification	classification	NOUN
bracis-28394	4	16	focus	focus	NOUN
bracis-28394	4	17	on	on	ADP
bracis-28394	4	18	automatically	automatically	ADV
bracis-28394	4	19	finding	find	VERB
bracis-28394	4	20	the	the	DET
bracis-28394	4	21	best	good	ADJ
bracis-28394	4	22	models	model	NOUN
bracis-28394	4	23	based	base	VERB
bracis-28394	4	24	on	on	ADP
bracis-28394	4	25	mono	mono	NOUN
bracis-28394	4	26	-	-	PUNCT
bracis-28394	4	27	objective	objective	ADJ
bracis-28394	4	28	optimization	optimization	NOUN
bracis-28394	4	29	.	.	PUNCT
bracis-28394	5	1	these	these	DET
bracis-28394	5	2	tools	tool	NOUN
bracis-28394	5	3	train	train	VERB
bracis-28394	5	4	several	several	ADJ
bracis-28394	5	5	multi	multi	ADJ
bracis-28394	5	6	-	-	ADJ
bracis-28394	5	7	label	label	ADJ
bracis-28394	5	8	classifiers	classifier	NOUN
bracis-28394	5	9	in	in	ADP
bracis-28394	5	10	search	search	NOUN
bracis-28394	5	11	of	of	ADP
bracis-28394	5	12	the	the	DET
bracis-28394	5	13	one	one	NOUN
bracis-28394	5	14	with	with	ADP
bracis-28394	5	15	the	the	DET
bracis-28394	5	16	best	good	ADJ
bracis-28394	5	17	performance	performance	NOUN
bracis-28394	5	18	in	in	ADP
bracis-28394	5	19	a	a	DET
bracis-28394	5	20	single	single	ADJ
bracis-28394	5	21	objective	objective	ADJ
bracis-28394	5	22	optimization	optimization	NOUN
bracis-28394	5	23	process	process	NOUN
bracis-28394	5	24	.	.	PUNCT
bracis-28394	6	1	in	in	ADP
bracis-28394	6	2	this	this	DET
bracis-28394	6	3	work	work	NOUN
bracis-28394	6	4	,	,	PUNCT
bracis-28394	6	5	we	we	PRON
bracis-28394	6	6	propose	propose	VERB
bracis-28394	6	7	autommlc	autommlc	NOUN
bracis-28394	6	8	,	,	PUNCT
bracis-28394	6	9	a	a	DET
bracis-28394	6	10	new	new	ADJ
bracis-28394	6	11	multi	multi	ADJ
bracis-28394	6	12	-	-	ADJ
bracis-28394	6	13	objective	objective	ADJ
bracis-28394	6	14	automl	automl	NOUN
bracis-28394	6	15	method	method	NOUN
bracis-28394	6	16	for	for	ADP
bracis-28394	6	17	multi	multi	ADJ
bracis-28394	6	18	-	-	ADJ
bracis-28394	6	19	label	label	ADJ
bracis-28394	6	20	classification	classification	NOUN
bracis-28394	6	21	,	,	PUNCT
bracis-28394	6	22	to	to	PART
bracis-28394	6	23	find	find	VERB
bracis-28394	6	24	the	the	DET
bracis-28394	6	25	best	good	ADJ
bracis-28394	6	26	models	model	NOUN
bracis-28394	6	27	that	that	PRON
bracis-28394	6	28	maximize	maximize	VERB
bracis-28394	6	29	the	the	DET
bracis-28394	6	30	f	f	NUM
bracis-28394	6	31	-	-	PUNCT
bracis-28394	6	32	score	score	NOUN
bracis-28394	6	33	measure	measure	NOUN
bracis-28394	6	34	and	and	CCONJ
bracis-28394	6	35	minimize	minimize	VERB
bracis-28394	6	36	the	the	DET
bracis-28394	6	37	training	training	NOUN
bracis-28394	6	38	time	time	NOUN
bracis-28394	6	39	.	.	PUNCT
bracis-28394	7	1	experiments	experiment	NOUN
bracis-28394	7	2	were	be	AUX
bracis-28394	7	3	carried	carry	VERB
bracis-28394	7	4	out	out	ADP
bracis-28394	7	5	with	with	ADP
bracis-28394	7	6	ten	ten	NUM
bracis-28394	7	7	multi	multi	ADJ
bracis-28394	7	8	-	-	ADJ
bracis-28394	7	9	label	label	ADJ
bracis-28394	7	10	datasets	dataset	NOUN
bracis-28394	7	11	and	and	CCONJ
bracis-28394	7	12	different	different	ADJ
bracis-28394	7	13	versions	version	NOUN
bracis-28394	7	14	of	of	ADP
bracis-28394	7	15	the	the	DET
bracis-28394	7	16	proposed	propose	VERB
bracis-28394	7	17	method	method	NOUN
bracis-28394	7	18	using	use	VERB
bracis-28394	7	19	two	two	NUM
bracis-28394	7	20	multi	multi	ADJ
bracis-28394	7	21	-	-	ADJ
bracis-28394	7	22	objective	objective	ADJ
bracis-28394	7	23	optimization	optimization	NOUN
bracis-28394	7	24	algorithms	algorithm	NOUN
bracis-28394	7	25	:	:	PUNCT
bracis-28394	7	26	multi	multi	ADJ
bracis-28394	7	27	-	-	ADJ
bracis-28394	7	28	objective	objective	ADJ
bracis-28394	7	29	random	random	ADJ
bracis-28394	7	30	search	search	NOUN
bracis-28394	7	31	and	and	CCONJ
bracis-28394	7	32	non	non	ADJ
bracis-28394	7	33	-	-	ADJ
bracis-28394	7	34	dominated	dominated	ADJ
bracis-28394	7	35	sorting	sort	VERB
bracis-28394	7	36	genetic	genetic	ADJ
bracis-28394	7	37	algorithm	algorithm	PROPN
bracis-28394	7	38	ii	ii	PROPN
bracis-28394	7	39	.	.	PUNCT
bracis-28394	8	1	we	we	PRON
bracis-28394	8	2	evaluated	evaluate	VERB
bracis-28394	8	3	the	the	DET
bracis-28394	8	4	pareto	pareto	ADJ
bracis-28394	8	5	front	front	NOUN
bracis-28394	8	6	obtained	obtain	VERB
bracis-28394	8	7	by	by	ADP
bracis-28394	8	8	these	these	DET
bracis-28394	8	9	methods	method	NOUN
bracis-28394	8	10	through	through	ADP
bracis-28394	8	11	the	the	DET
bracis-28394	8	12	hypervolume	hypervolume	NOUN
bracis-28394	8	13	metric	metric	ADJ
bracis-28394	8	14	.	.	PUNCT
bracis-28394	9	1	the	the	DET
bracis-28394	9	2	wilcoxon	wilcoxon	PROPN
bracis-28394	9	3	test	test	NOUN
bracis-28394	9	4	demonstrated	demonstrate	VERB
bracis-28394	9	5	that	that	SCONJ
bracis-28394	9	6	autommlc	autommlc	VERB
bracis-28394	9	7	versions	version	NOUN
bracis-28394	9	8	had	have	VERB
bracis-28394	9	9	similar	similar	ADJ
bracis-28394	9	10	results	result	NOUN
bracis-28394	9	11	for	for	ADP
bracis-28394	9	12	this	this	DET
bracis-28394	9	13	metric	metric	NOUN
bracis-28394	9	14	.	.	PUNCT
bracis-28394	10	1	multi	multi	ADJ
bracis-28394	10	2	-	-	ADJ
bracis-28394	10	3	label	label	ADJ
bracis-28394	10	4	classification	classification	NOUN
bracis-28394	10	5	(	(	PUNCT
bracis-28394	10	6	mlc	mlc	NOUN
bracis-28394	10	7	)	)	PUNCT
bracis-28394	10	8	algorithms	algorithm	NOUN
bracis-28394	10	9	were	be	AUX
bracis-28394	10	10	obtained	obtain	VERB
bracis-28394	10	11	from	from	ADP
bracis-28394	10	12	the	the	DET
bracis-28394	10	13	pareto	pareto	ADJ
bracis-28394	10	14	frontiers	frontier	NOUN
bracis-28394	10	15	through	through	ADP
bracis-28394	10	16	the	the	DET
bracis-28394	10	17	frugality	frugality	NOUN
bracis-28394	10	18	score	score	NOUN
bracis-28394	10	19	and	and	CCONJ
bracis-28394	10	20	compared	compare	VERB
bracis-28394	10	21	with	with	ADP
bracis-28394	10	22	the	the	DET
bracis-28394	10	23	baseline	baseline	ADJ
bracis-28394	10	24	algorithms	algorithm	NOUN
bracis-28394	10	25	.	.	PUNCT
bracis-28394	11	1	the	the	DET
bracis-28394	11	2	friedman	friedman	PROPN
bracis-28394	11	3	test	test	NOUN
bracis-28394	11	4	demonstrated	demonstrate	VERB
bracis-28394	11	5	that	that	SCONJ
bracis-28394	11	6	the	the	DET
bracis-28394	11	7	mlc	mlc	NOUN
bracis-28394	11	8	algorithms	algorithm	VERB
bracis-28394	11	9	from	from	ADP
bracis-28394	11	10	autommlc	autommlc	NOUN
bracis-28394	11	11	versions	version	NOUN
bracis-28394	11	12	had	have	VERB
bracis-28394	11	13	equal	equal	ADJ
bracis-28394	11	14	performances	performance	NOUN
bracis-28394	11	15	to	to	ADP
bracis-28394	11	16	f	f	NOUN
bracis-28394	11	17	-	-	PUNCT
bracis-28394	11	18	score	score	VERB
bracis-28394	11	19	and	and	CCONJ
bracis-28394	11	20	training	training	NOUN
bracis-28394	11	21	time	time	NOUN
bracis-28394	11	22	.	.	PUNCT
bracis-28394	12	1	furthermore	furthermore	ADV
bracis-28394	12	2	,	,	PUNCT
bracis-28394	12	3	they	they	PRON
bracis-28394	12	4	had	have	VERB
bracis-28394	12	5	better	well	ADJ
bracis-28394	12	6	results	result	NOUN
bracis-28394	12	7	than	than	ADP
bracis-28394	12	8	baseline	baseline	ADJ
bracis-28394	12	9	algorithms	algorithm	NOUN
bracis-28394	12	10	for	for	ADP
bracis-28394	12	11	f	f	NOUN
bracis-28394	12	12	-	-	PUNCT
bracis-28394	12	13	score	score	NOUN
bracis-28394	12	14	and	and	CCONJ
bracis-28394	12	15	better	well	ADJ
bracis-28394	12	16	results	result	NOUN
bracis-28394	12	17	than	than	ADP
bracis-28394	12	18	most	most	ADJ
bracis-28394	12	19	baseline	baseline	ADJ
bracis-28394	12	20	algorithms	algorithm	NOUN
bracis-28394	12	21	for	for	ADP
bracis-28394	12	22	training	training	NOUN
bracis-28394	12	23	time	time	NOUN
bracis-28394	12	24	.	.	PUNCT
bracis-28394	13	1	access	access	NOUN
bracis-28394	13	2	provided	provide	VERB
bracis-28394	13	3	by	by	ADP
bracis-28394	13	4	university	university	PROPN
bracis-28394	13	5	of	of	ADP
bracis-28394	13	6	notre	notre	PROPN
bracis-28394	13	7	dame	dame	PROPN
bracis-28394	13	8	hesburgh	hesburgh	PROPN
bracis-28394	13	9	library	library	PROPN
bracis-28394	13	10	.	.	PUNCT
bracis-28394	14	1	download	download	PROPN
bracis-28394	14	2	conference	conference	NOUN
bracis-28394	14	3	paper	paper	NOUN
bracis-28394	14	4	pdf	pdf	NOUN
bracis-28394	14	5	similar	similar	ADJ
bracis-28394	14	6	content	content	NOUN
bracis-28394	14	7	being	be	AUX
bracis-28394	14	8	viewed	view	VERB
bracis-28394	14	9	by	by	ADP
bracis-28394	14	10	others	other	NOUN
bracis-28394	14	11	a	a	DET
bracis-28394	14	12	systematic	systematic	ADJ
bracis-28394	14	13	literature	literature	NOUN
bracis-28394	14	14	review	review	NOUN
bracis-28394	14	15	on	on	ADP
bracis-28394	14	16	automl	automl	NOUN
bracis-28394	14	17	for	for	ADP
bracis-28394	14	18	multi	multi	ADJ
bracis-28394	14	19	-	-	ADJ
bracis-28394	14	20	target	target	ADJ
bracis-28394	14	21	learning	learning	NOUN
bracis-28394	14	22	tasks	task	NOUN
bracis-28394	14	23	article	article	NOUN
bracis-28394	14	24	10	10	NUM
bracis-28394	14	25	august	august	PROPN
bracis-28394	14	26	2023	2023	NUM
bracis-28394	14	27	a	a	DET
bracis-28394	14	28	practical	practical	ADJ
bracis-28394	14	29	evaluation	evaluation	NOUN
bracis-28394	14	30	of	of	ADP
bracis-28394	14	31	automl	automl	NOUN
bracis-28394	14	32	tools	tool	NOUN
bracis-28394	14	33	for	for	ADP
bracis-28394	14	34	binary	binary	ADJ
bracis-28394	14	35	,	,	PUNCT
bracis-28394	14	36	multiclass	multiclass	ADJ
bracis-28394	14	37	,	,	PUNCT
bracis-28394	14	38	and	and	CCONJ
bracis-28394	14	39	multilabel	multilabel	NOUN
bracis-28394	14	40	classification	classification	NOUN
bracis-28394	14	41	article	article	NOUN
bracis-28394	14	42	open	open	ADJ
bracis-28394	14	43	access	access	NOUN
bracis-28394	14	44	21	21	NUM
bracis-28394	14	45	may	may	AUX
bracis-28394	14	46	2025	2025	NUM
bracis-28394	14	47	multi	multi	ADJ
bracis-28394	14	48	-	-	ADJ
bracis-28394	14	49	objective	objective	ADJ
bracis-28394	14	50	evolutionary	evolutionary	ADJ
bracis-28394	14	51	instance	instance	NOUN
bracis-28394	14	52	selection	selection	NOUN
bracis-28394	14	53	for	for	ADP
bracis-28394	14	54	 	 	SPACE
bracis-28394	14	55	multi	multi	ADJ
bracis-28394	14	56	-	-	ADJ
bracis-28394	14	57	label	label	ADJ
bracis-28394	14	58	classification	classification	NOUN
bracis-28394	14	59	chapter	chapter	NOUN
bracis-28394	14	60	©	©	PROPN
bracis-28394	14	61	2022	2022	NUM
bracis-28394	14	62	explore	explore	VERB
bracis-28394	14	63	related	relate	VERB
bracis-28394	14	64	subjects	subject	NOUN
bracis-28394	14	65	discover	discover	VERB
bracis-28394	14	66	the	the	DET
bracis-28394	14	67	latest	late	ADJ
bracis-28394	14	68	articles	article	NOUN
bracis-28394	14	69	,	,	PUNCT
bracis-28394	14	70	books	book	NOUN
bracis-28394	14	71	and	and	CCONJ
bracis-28394	14	72	news	news	NOUN
bracis-28394	14	73	in	in	ADP
bracis-28394	14	74	related	related	ADJ
bracis-28394	14	75	subjects	subject	NOUN
bracis-28394	14	76	,	,	PUNCT
bracis-28394	14	77	suggested	suggest	VERB
bracis-28394	14	78	using	use	VERB
bracis-28394	14	79	machine	machine	NOUN
bracis-28394	14	80	learning	learning	NOUN
bracis-28394	14	81	.	.	PUNCT
bracis-28394	15	1	automated	automate	VERB
bracis-28394	15	2	pattern	pattern	NOUN
bracis-28394	15	3	recognition	recognition	NOUN
bracis-28394	15	4	categorization	categorization	NOUN
bracis-28394	15	5	learning	learn	VERB
bracis-28394	15	6	algorithms	algorithm	NOUN
bracis-28394	15	7	machine	machine	NOUN
bracis-28394	15	8	learning	learn	VERB
bracis-28394	15	9	predictive	predictive	ADJ
bracis-28394	15	10	markers	marker	NOUN
bracis-28394	15	11	statistical	statistical	ADJ
bracis-28394	15	12	learning	learn	VERB
bracis-28394	15	13	1	1	NUM
bracis-28394	15	14	introduction	introduction	NOUN
bracis-28394	15	15	designing	design	VERB
bracis-28394	15	16	high	high	ADJ
bracis-28394	15	17	-	-	PUNCT
bracis-28394	15	18	performance	performance	NOUN
bracis-28394	15	19	machine	machine	NOUN
bracis-28394	15	20	learning	learning	NOUN
bracis-28394	15	21	(	(	PUNCT
bracis-28394	15	22	ml	ml	NOUN
bracis-28394	15	23	)	)	PUNCT
bracis-28394	15	24	model	model	NOUN
bracis-28394	15	25	is	be	AUX
bracis-28394	15	26	an	an	DET
bracis-28394	15	27	arduous	arduous	ADJ
bracis-28394	15	28	task	task	NOUN
bracis-28394	15	29	that	that	PRON
bracis-28394	15	30	requires	require	VERB
bracis-28394	15	31	expert	expert	ADJ
bracis-28394	15	32	knowledge	knowledge	NOUN
bracis-28394	15	33	 	 	SPACE
bracis-28394	16	1	[	[	X
bracis-28394	16	2	7	7	NUM
bracis-28394	16	3	]	]	PUNCT
bracis-28394	16	4	.	.	PUNCT
bracis-28394	16	5	automated	automate	VERB
bracis-28394	16	6	machine	machine	NOUN
bracis-28394	16	7	learning	learning	NOUN
bracis-28394	16	8	(	(	PUNCT
bracis-28394	16	9	automl	automl	NOUN
bracis-28394	16	10	)	)	PUNCT
bracis-28394	16	11	is	be	AUX
bracis-28394	16	12	a	a	DET
bracis-28394	16	13	research	research	NOUN
bracis-28394	16	14	field	field	NOUN
bracis-28394	16	15	that	that	PRON
bracis-28394	16	16	seeks	seek	VERB
bracis-28394	16	17	to	to	PART
bracis-28394	16	18	improve	improve	VERB
bracis-28394	16	19	how	how	SCONJ
bracis-28394	16	20	ml	ml	NOUN
bracis-28394	16	21	applications	application	NOUN
bracis-28394	16	22	are	be	AUX
bracis-28394	16	23	built	build	VERB
bracis-28394	16	24	by	by	ADP
bracis-28394	16	25	automating	automate	VERB
bracis-28394	16	26	applications	application	NOUN
bracis-28394	16	27	 	 	SPACE
bracis-28394	17	1	[	[	X
bracis-28394	17	2	20	20	NUM
bracis-28394	17	3	]	]	PUNCT
bracis-28394	17	4	,	,	PUNCT
bracis-28394	17	5	creating	create	VERB
bracis-28394	17	6	automatically	automatically	ADV
bracis-28394	17	7	configured	configure	VERB
bracis-28394	17	8	tools	tool	NOUN
bracis-28394	17	9	that	that	PRON
bracis-28394	17	10	perform	perform	VERB
bracis-28394	17	11	well	well	ADV
bracis-28394	17	12	and	and	CCONJ
bracis-28394	17	13	are	be	AUX
bracis-28394	17	14	easy	easy	ADJ
bracis-28394	17	15	to	to	PART
bracis-28394	17	16	use	use	VERB
bracis-28394	17	17	.	.	PUNCT
bracis-28394	18	1	however	however	ADV
bracis-28394	18	2	,	,	PUNCT
bracis-28394	18	3	automl	automl	PROPN
bracis-28394	18	4	is	be	AUX
bracis-28394	18	5	not	not	PART
bracis-28394	18	6	only	only	ADV
bracis-28394	18	7	present	present	ADJ
bracis-28394	18	8	in	in	ADP
bracis-28394	18	9	the	the	DET
bracis-28394	18	10	search	search	NOUN
bracis-28394	18	11	by	by	ADP
bracis-28394	18	12	ml	ml	NOUN
bracis-28394	18	13	models	model	NOUN
bracis-28394	18	14	.	.	PUNCT
bracis-28394	19	1	it	it	PRON
bracis-28394	19	2	can	can	AUX
bracis-28394	19	3	also	also	ADV
bracis-28394	19	4	be	be	AUX
bracis-28394	19	5	applied	apply	VERB
bracis-28394	19	6	to	to	ADP
bracis-28394	19	7	the	the	DET
bracis-28394	19	8	pre	pre	ADJ
bracis-28394	19	9	-	-	ADJ
bracis-28394	19	10	processing	processing	ADJ
bracis-28394	19	11	phases	phase	NOUN
bracis-28394	19	12	to	to	ADP
bracis-28394	19	13	the	the	DET
bracis-28394	19	14	model	model	NOUN
bracis-28394	19	15	interpretability	interpretability	NOUN
bracis-28394	19	16	phase	phase	NOUN
bracis-28394	19	17	,	,	PUNCT
bracis-28394	19	18	automating	automate	VERB
bracis-28394	19	19	a	a	DET
bracis-28394	19	20	specific	specific	ADJ
bracis-28394	19	21	sub	sub	NOUN
bracis-28394	19	22	-	-	NOUN
bracis-28394	19	23	task	task	NOUN
bracis-28394	19	24	of	of	ADP
bracis-28394	19	25	the	the	DET
bracis-28394	19	26	ml	ml	X
bracis-28394	19	27	pipeline	pipeline	NOUN
bracis-28394	19	28	or	or	CCONJ
bracis-28394	19	29	even	even	ADV
bracis-28394	19	30	the	the	DET
bracis-28394	19	31	entire	entire	ADJ
bracis-28394	19	32	pipeline	pipeline	NOUN
bracis-28394	19	33	 	 	SPACE
bracis-28394	20	1	[	[	X
bracis-28394	20	2	18	18	NUM
bracis-28394	20	3	,	,	PUNCT
bracis-28394	20	4	20	20	NUM
bracis-28394	20	5	]	]	PUNCT
bracis-28394	20	6	.	.	PUNCT
bracis-28394	21	1	automl	automl	PROPN
bracis-28394	21	2	can	can	AUX
bracis-28394	21	3	solve	solve	VERB
bracis-28394	21	4	single	single	ADJ
bracis-28394	21	5	-	-	PUNCT
bracis-28394	21	6	label	label	NOUN
bracis-28394	21	7	classification	classification	NOUN
bracis-28394	21	8	(	(	PUNCT
bracis-28394	21	9	slc	slc	PROPN
bracis-28394	21	10	)	)	PUNCT
bracis-28394	21	11	and	and	CCONJ
bracis-28394	21	12	multi	multi	ADJ
bracis-28394	21	13	-	-	ADJ
bracis-28394	21	14	label	label	ADJ
bracis-28394	21	15	classification	classification	NOUN
bracis-28394	21	16	(	(	PUNCT
bracis-28394	21	17	mlc	mlc	NOUN
bracis-28394	21	18	)	)	PUNCT
bracis-28394	21	19	problems	problem	NOUN
bracis-28394	21	20	.	.	PUNCT
bracis-28394	22	1	each	each	DET
bracis-28394	22	2	dataset	dataset	NOUN
bracis-28394	22	3	instance	instance	NOUN
bracis-28394	22	4	is	be	AUX
bracis-28394	22	5	associated	associate	VERB
bracis-28394	22	6	with	with	ADP
bracis-28394	22	7	a	a	DET
bracis-28394	22	8	single	single	ADJ
bracis-28394	22	9	label	label	NOUN
bracis-28394	22	10	in	in	ADP
bracis-28394	22	11	slc	slc	PROPN
bracis-28394	22	12	,	,	PUNCT
bracis-28394	22	13	while	while	SCONJ
bracis-28394	22	14	in	in	ADP
bracis-28394	22	15	mlc	mlc	PROPN
bracis-28394	22	16	,	,	PUNCT
bracis-28394	22	17	each	each	DET
bracis-28394	22	18	instance	instance	NOUN
bracis-28394	22	19	is	be	AUX
bracis-28394	22	20	associated	associate	VERB
bracis-28394	22	21	with	with	ADP
bracis-28394	22	22	a	a	DET
bracis-28394	22	23	subset	subset	NOUN
bracis-28394	22	24	of	of	ADP
bracis-28394	22	25	labels	label	NOUN
bracis-28394	22	26	 	 	SPACE
bracis-28394	23	1	[	[	X
bracis-28394	23	2	9	9	NUM
bracis-28394	23	3	,	,	PUNCT
bracis-28394	23	4	17	17	NUM
bracis-28394	23	5	]	]	PUNCT
bracis-28394	23	6	.	.	PUNCT
bracis-28394	24	1	most	most	ADJ
bracis-28394	24	2	research	research	NOUN
bracis-28394	24	3	dealing	deal	VERB
bracis-28394	24	4	with	with	ADP
bracis-28394	24	5	automl	automl	NOUN
bracis-28394	24	6	and	and	CCONJ
bracis-28394	24	7	mlc	mlc	PROPN
bracis-28394	24	8	focuses	focus	VERB
bracis-28394	24	9	on	on	ADP
bracis-28394	24	10	automating	automate	VERB
bracis-28394	24	11	searching	search	VERB
bracis-28394	24	12	for	for	ADP
bracis-28394	24	13	the	the	DET
bracis-28394	24	14	best	good	ADJ
bracis-28394	24	15	algorithms	algorithm	NOUN
bracis-28394	24	16	and	and	CCONJ
bracis-28394	24	17	hyperparameters	hyperparameter	NOUN
bracis-28394	24	18	used	use	VERB
bracis-28394	24	19	on	on	ADP
bracis-28394	24	20	the	the	DET
bracis-28394	24	21	model	model	NOUN
bracis-28394	24	22	induction	induction	NOUN
bracis-28394	24	23	task	task	NOUN
bracis-28394	24	24	 	 	SPACE
bracis-28394	25	1	[	[	X
bracis-28394	25	2	12,13,14	12,13,14	NUM
bracis-28394	25	3	,	,	PUNCT
bracis-28394	25	4	18	18	NUM
bracis-28394	25	5	,	,	PUNCT
bracis-28394	25	6	19	19	NUM
bracis-28394	25	7	]	]	PUNCT
bracis-28394	25	8	.	.	PUNCT
bracis-28394	26	1	given	give	VERB
bracis-28394	26	2	the	the	DET
bracis-28394	26	3	search	search	NOUN
bracis-28394	26	4	space	space	NOUN
bracis-28394	26	5	,	,	PUNCT
bracis-28394	26	6	an	an	DET
bracis-28394	26	7	optimization	optimization	NOUN
bracis-28394	26	8	algorithm	algorithm	NOUN
bracis-28394	26	9	,	,	PUNCT
bracis-28394	26	10	and	and	CCONJ
bracis-28394	26	11	an	an	DET
bracis-28394	26	12	evaluation	evaluation	NOUN
bracis-28394	26	13	criterion	criterion	NOUN
bracis-28394	26	14	,	,	PUNCT
bracis-28394	26	15	automl	automl	NOUN
bracis-28394	26	16	trains	train	NOUN
bracis-28394	26	17	and	and	CCONJ
bracis-28394	26	18	evaluates	evaluate	VERB
bracis-28394	26	19	several	several	ADJ
bracis-28394	26	20	models	model	NOUN
bracis-28394	26	21	in	in	ADP
bracis-28394	26	22	search	search	NOUN
bracis-28394	26	23	of	of	ADP
bracis-28394	26	24	the	the	DET
bracis-28394	26	25	best	good	ADJ
bracis-28394	26	26	model	model	NOUN
bracis-28394	26	27	evaluated	evaluate	VERB
bracis-28394	26	28	.	.	PUNCT
bracis-28394	27	1	as	as	SCONJ
bracis-28394	27	2	the	the	DET
bracis-28394	27	3	search	search	NOUN
bracis-28394	27	4	space	space	NOUN
bracis-28394	27	5	comprises	comprise	VERB
bracis-28394	27	6	different	different	ADJ
bracis-28394	27	7	classification	classification	NOUN
bracis-28394	27	8	algorithms	algorithm	NOUN
bracis-28394	27	9	and	and	CCONJ
bracis-28394	27	10	their	their	PRON
bracis-28394	27	11	corresponding	corresponding	ADJ
bracis-28394	27	12	hyperparameters	hyperparameter	NOUN
bracis-28394	27	13	,	,	PUNCT
bracis-28394	27	14	these	these	DET
bracis-28394	27	15	studies	study	NOUN
bracis-28394	27	16	deal	deal	VERB
bracis-28394	27	17	with	with	ADP
bracis-28394	27	18	instances	instance	NOUN
bracis-28394	27	19	of	of	ADP
bracis-28394	27	20	combined	combined	ADJ
bracis-28394	27	21	algorithm	algorithm	NOUN
bracis-28394	27	22	selection	selection	NOUN
bracis-28394	27	23	and	and	CCONJ
bracis-28394	27	24	hyperparameter	hyperparameter	NOUN
bracis-28394	27	25	optimization	optimization	NOUN
bracis-28394	27	26	(	(	PUNCT
bracis-28394	27	27	cash	cash	NOUN
bracis-28394	27	28	)	)	PUNCT
bracis-28394	27	29	optimization	optimization	NOUN
bracis-28394	27	30	problems	problem	NOUN
bracis-28394	27	31	 	 	SPACE
bracis-28394	28	1	[	[	X
bracis-28394	28	2	7	7	NUM
bracis-28394	28	3	]	]	PUNCT
bracis-28394	28	4	.	.	PUNCT
bracis-28394	29	1	furthermore	furthermore	ADV
bracis-28394	29	2	,	,	PUNCT
bracis-28394	29	3	in	in	ADP
bracis-28394	29	4	these	these	DET
bracis-28394	29	5	studies	study	NOUN
bracis-28394	29	6	,	,	PUNCT
bracis-28394	29	7	the	the	DET
bracis-28394	29	8	optimization	optimization	NOUN
bracis-28394	29	9	algorithms	algorithm	NOUN
bracis-28394	29	10	for	for	ADP
bracis-28394	29	11	mlc	mlc	NOUN
bracis-28394	29	12	are	be	AUX
bracis-28394	29	13	mono	mono	NOUN
bracis-28394	29	14	-	-	PUNCT
bracis-28394	29	15	objective	objective	NOUN
bracis-28394	29	16	,	,	PUNCT
bracis-28394	29	17	with	with	ADP
bracis-28394	29	18	an	an	DET
bracis-28394	29	19	evaluation	evaluation	NOUN
bracis-28394	29	20	criterion	criterion	NOUN
bracis-28394	29	21	usually	usually	ADV
bracis-28394	29	22	related	relate	VERB
bracis-28394	29	23	to	to	ADP
bracis-28394	29	24	the	the	DET
bracis-28394	29	25	classifier	classifier	NOUN
bracis-28394	29	26	performance	performance	NOUN
bracis-28394	29	27	.	.	PUNCT
bracis-28394	30	1	however	however	ADV
bracis-28394	30	2	,	,	PUNCT
bracis-28394	30	3	we	we	PRON
bracis-28394	30	4	could	could	AUX
bracis-28394	30	5	evaluate	evaluate	VERB
bracis-28394	30	6	multi	multi	ADJ
bracis-28394	30	7	-	-	ADJ
bracis-28394	30	8	label	label	ADJ
bracis-28394	30	9	classifiers	classifier	NOUN
bracis-28394	30	10	considering	consider	VERB
bracis-28394	30	11	more	more	ADJ
bracis-28394	30	12	than	than	ADP
bracis-28394	30	13	one	one	NUM
bracis-28394	30	14	evaluation	evaluation	NOUN
bracis-28394	30	15	criterion	criterion	NOUN
bracis-28394	30	16	 	 	SPACE
bracis-28394	31	1	[	[	X
bracis-28394	31	2	19	19	NUM
bracis-28394	31	3	]	]	PUNCT
bracis-28394	31	4	.	.	PUNCT
bracis-28394	32	1	thus	thus	ADV
bracis-28394	32	2	,	,	PUNCT
bracis-28394	32	3	we	we	PRON
bracis-28394	32	4	would	would	AUX
bracis-28394	32	5	have	have	VERB
bracis-28394	32	6	a	a	DET
bracis-28394	32	7	multi	multi	ADJ
bracis-28394	32	8	-	-	ADJ
bracis-28394	32	9	objective	objective	ADJ
bracis-28394	32	10	optimization	optimization	NOUN
bracis-28394	32	11	problem	problem	NOUN
bracis-28394	32	12	,	,	PUNCT
bracis-28394	32	13	where	where	SCONJ
bracis-28394	32	14	a	a	DET
bracis-28394	32	15	task	task	NOUN
bracis-28394	32	16	involves	involve	VERB
bracis-28394	32	17	more	more	ADJ
bracis-28394	32	18	than	than	ADP
bracis-28394	32	19	one	one	NUM
bracis-28394	32	20	objective	objective	ADJ
bracis-28394	32	21	function	function	NOUN
bracis-28394	32	22	to	to	PART
bracis-28394	32	23	be	be	AUX
bracis-28394	32	24	maximized	maximize	VERB
bracis-28394	32	25	or	or	CCONJ
bracis-28394	32	26	minimized	minimize	VERB
bracis-28394	32	27	and	and	CCONJ
bracis-28394	32	28	produces	produce	VERB
bracis-28394	32	29	a	a	DET
bracis-28394	32	30	set	set	NOUN
bracis-28394	32	31	of	of	ADP
bracis-28394	32	32	optimal	optimal	ADJ
bracis-28394	32	33	solutions	solution	NOUN
bracis-28394	32	34	rather	rather	ADV
bracis-28394	32	35	than	than	ADP
bracis-28394	32	36	a	a	DET
bracis-28394	32	37	single	single	ADJ
bracis-28394	32	38	solution	solution	NOUN
bracis-28394	32	39	,	,	PUNCT
bracis-28394	32	40	known	know	VERB
bracis-28394	32	41	as	as	ADP
bracis-28394	32	42	pareto	pareto	ADJ
bracis-28394	32	43	optimal	optimal	ADJ
bracis-28394	32	44	solutions	solution	NOUN
bracis-28394	32	45	 	 	SPACE
bracis-28394	33	1	[	[	X
bracis-28394	33	2	3	3	NUM
bracis-28394	33	3	]	]	PUNCT
bracis-28394	33	4	.	.	PUNCT
bracis-28394	34	1	multi	multi	ADJ
bracis-28394	34	2	-	-	ADJ
bracis-28394	34	3	objective	objective	ADJ
bracis-28394	34	4	ml	ml	NOUN
bracis-28394	34	5	balances	balance	VERB
bracis-28394	34	6	distinct	distinct	ADJ
bracis-28394	34	7	evaluation	evaluation	NOUN
bracis-28394	34	8	criteria	criterion	NOUN
bracis-28394	34	9	(	(	PUNCT
bracis-28394	34	10	objective	objective	ADJ
bracis-28394	34	11	functions	function	NOUN
bracis-28394	34	12	)	)	PUNCT
bracis-28394	34	13	to	to	PART
bracis-28394	34	14	improve	improve	VERB
bracis-28394	34	15	model	model	NOUN
bracis-28394	34	16	generalization	generalization	NOUN
bracis-28394	34	17	and	and	CCONJ
bracis-28394	34	18	avoid	avoid	VERB
bracis-28394	34	19	models	model	NOUN
bracis-28394	34	20	with	with	ADP
bracis-28394	34	21	local	local	ADJ
bracis-28394	34	22	optima	optima	NOUN
bracis-28394	34	23	 	 	SPACE
bracis-28394	35	1	[	[	X
bracis-28394	35	2	8	8	NUM
bracis-28394	35	3	]	]	PUNCT
bracis-28394	35	4	.	.	PUNCT
bracis-28394	36	1	in	in	ADP
bracis-28394	36	2	this	this	DET
bracis-28394	36	3	study	study	NOUN
bracis-28394	36	4	,	,	PUNCT
bracis-28394	36	5	we	we	PRON
bracis-28394	36	6	propose	propose	VERB
bracis-28394	36	7	a	a	DET
bracis-28394	36	8	multi	multi	ADJ
bracis-28394	36	9	-	-	ADJ
bracis-28394	36	10	objective	objective	ADJ
bracis-28394	36	11	automl	automl	NOUN
bracis-28394	36	12	method	method	NOUN
bracis-28394	36	13	for	for	ADP
bracis-28394	36	14	mlc	mlc	PROPN
bracis-28394	36	15	,	,	PUNCT
bracis-28394	36	16	denominated	denominate	VERB
bracis-28394	36	17	automated	automate	VERB
bracis-28394	36	18	multi	multi	ADJ
bracis-28394	36	19	-	-	ADJ
bracis-28394	36	20	objective	objective	ADJ
bracis-28394	36	21	multi	multi	ADJ
bracis-28394	36	22	-	-	ADJ
bracis-28394	36	23	label	label	ADJ
bracis-28394	36	24	classification	classification	NOUN
bracis-28394	36	25	(	(	PUNCT
bracis-28394	36	26	autommlc	autommlc	PROPN
bracis-28394	36	27	)	)	PUNCT
bracis-28394	36	28	,	,	PUNCT
bracis-28394	36	29	optimizing	optimize	VERB
bracis-28394	36	30	both	both	CCONJ
bracis-28394	36	31	the	the	DET
bracis-28394	36	32	f	f	ADJ
bracis-28394	36	33	-	-	PUNCT
bracis-28394	36	34	score	score	NOUN
bracis-28394	36	35	performance	performance	NOUN
bracis-28394	36	36	measure	measure	NOUN
bracis-28394	36	37	and	and	CCONJ
bracis-28394	36	38	the	the	DET
bracis-28394	36	39	training	training	NOUN
bracis-28394	36	40	time	time	NOUN
bracis-28394	36	41	of	of	ADP
bracis-28394	36	42	the	the	DET
bracis-28394	36	43	classifiers	classifier	NOUN
bracis-28394	36	44	.	.	PUNCT
bracis-28394	37	1	thus	thus	ADV
bracis-28394	37	2	,	,	PUNCT
bracis-28394	37	3	we	we	PRON
bracis-28394	37	4	want	want	VERB
bracis-28394	37	5	to	to	PART
bracis-28394	37	6	automatically	automatically	ADV
bracis-28394	37	7	find	find	VERB
bracis-28394	37	8	models	model	NOUN
bracis-28394	37	9	that	that	PRON
bracis-28394	37	10	maximize	maximize	VERB
bracis-28394	37	11	the	the	DET
bracis-28394	37	12	f	f	NOUN
bracis-28394	37	13	-	-	PUNCT
bracis-28394	37	14	score	score	NOUN
bracis-28394	37	15	and	and	CCONJ
bracis-28394	37	16	have	have	VERB
bracis-28394	37	17	a	a	DET
bracis-28394	37	18	lower	low	ADJ
bracis-28394	37	19	computational	computational	ADJ
bracis-28394	37	20	time	time	NOUN
bracis-28394	37	21	.	.	PUNCT
bracis-28394	38	1	we	we	PRON
bracis-28394	38	2	performed	perform	VERB
bracis-28394	38	3	experiments	experiment	NOUN
bracis-28394	38	4	evaluating	evaluate	VERB
bracis-28394	38	5	the	the	DET
bracis-28394	38	6	performance	performance	NOUN
bracis-28394	38	7	of	of	ADP
bracis-28394	38	8	autommlc	autommlc	NOUN
bracis-28394	38	9	employing	employ	VERB
bracis-28394	38	10	two	two	NUM
bracis-28394	38	11	different	different	ADJ
bracis-28394	38	12	multi	multi	ADJ
bracis-28394	38	13	-	-	ADJ
bracis-28394	38	14	objective	objective	ADJ
bracis-28394	38	15	algorithms	algorithm	NOUN
bracis-28394	38	16	:	:	PUNCT
bracis-28394	38	17	multi	multi	ADJ
bracis-28394	38	18	-	-	ADJ
bracis-28394	38	19	objective	objective	ADJ
bracis-28394	38	20	random	random	ADJ
bracis-28394	38	21	search	search	NOUN
bracis-28394	38	22	(	(	PUNCT
bracis-28394	38	23	mors	mor	NOUN
bracis-28394	38	24	)	)	PUNCT
bracis-28394	38	25	 	 	SPACE
bracis-28394	39	1	[	[	X
bracis-28394	39	2	8	8	NUM
bracis-28394	39	3	]	]	PUNCT
bracis-28394	39	4	and	and	CCONJ
bracis-28394	39	5	non	non	ADJ
bracis-28394	39	6	-	-	ADJ
bracis-28394	39	7	dominated	dominated	ADJ
bracis-28394	39	8	sorting	sort	VERB
bracis-28394	39	9	genetic	genetic	ADJ
bracis-28394	39	10	algorithm	algorithm	NOUN
bracis-28394	39	11	ii	ii	PROPN
bracis-28394	39	12	(	(	PUNCT
bracis-28394	39	13	nsga	nsga	NOUN
bracis-28394	39	14	-	-	PUNCT
bracis-28394	39	15	ii	ii	NOUN
bracis-28394	39	16	)	)	PUNCT
bracis-28394	39	17	 	 	SPACE
bracis-28394	40	1	[	[	X
bracis-28394	40	2	2	2	NUM
bracis-28394	40	3	]	]	PUNCT
bracis-28394	40	4	.	.	PUNCT
bracis-28394	41	1	these	these	DET
bracis-28394	41	2	algorithms	algorithm	NOUN
bracis-28394	41	3	were	be	AUX
bracis-28394	41	4	used	use	VERB
bracis-28394	41	5	because	because	SCONJ
bracis-28394	41	6	mors	mor	NOUN
bracis-28394	41	7	serves	serve	VERB
bracis-28394	41	8	as	as	ADP
bracis-28394	41	9	reasonable	reasonable	ADJ
bracis-28394	41	10	baselines	baseline	NOUN
bracis-28394	41	11	,	,	PUNCT
bracis-28394	41	12	and	and	CCONJ
bracis-28394	41	13	nsga	nsga	NOUN
bracis-28394	41	14	-	-	PUNCT
bracis-28394	41	15	ii	ii	PROPN
bracis-28394	41	16	is	be	AUX
bracis-28394	41	17	one	one	NUM
bracis-28394	41	18	of	of	ADP
bracis-28394	41	19	the	the	DET
bracis-28394	41	20	most	most	ADV
bracis-28394	41	21	popular	popular	ADJ
bracis-28394	41	22	multi	multi	ADJ
bracis-28394	41	23	-	-	ADJ
bracis-28394	41	24	objective	objective	ADJ
bracis-28394	41	25	evolutionary	evolutionary	ADJ
bracis-28394	41	26	algorithms	algorithm	NOUN
bracis-28394	41	27	 	 	SPACE
bracis-28394	42	1	[	[	X
bracis-28394	42	2	8	8	NUM
bracis-28394	42	3	]	]	PUNCT
bracis-28394	42	4	.	.	PUNCT
bracis-28394	43	1	in	in	ADP
bracis-28394	43	2	addition	addition	NOUN
bracis-28394	43	3	,	,	PUNCT
bracis-28394	43	4	we	we	PRON
bracis-28394	43	5	evaluated	evaluate	VERB
bracis-28394	43	6	the	the	DET
bracis-28394	43	7	performance	performance	NOUN
bracis-28394	43	8	of	of	ADP
bracis-28394	43	9	autommlc	autommlc	NOUN
bracis-28394	43	10	against	against	ADP
bracis-28394	43	11	other	other	ADJ
bracis-28394	43	12	baselines	baseline	NOUN
bracis-28394	43	13	simplest	simplest	ADJ
bracis-28394	43	14	.	.	PUNCT
bracis-28394	44	1	the	the	DET
bracis-28394	44	2	main	main	ADJ
bracis-28394	44	3	contributions	contribution	NOUN
bracis-28394	44	4	of	of	ADP
bracis-28394	44	5	this	this	DET
bracis-28394	44	6	paper	paper	NOUN
bracis-28394	44	7	are	be	AUX
bracis-28394	44	8	:	:	PUNCT
bracis-28394	44	9	i	i	X
bracis-28394	44	10	)	)	PUNCT
bracis-28394	44	11	the	the	DET
bracis-28394	44	12	proposal	proposal	NOUN
bracis-28394	44	13	of	of	ADP
bracis-28394	44	14	a	a	DET
bracis-28394	44	15	new	new	ADJ
bracis-28394	44	16	automl	automl	NOUN
bracis-28394	44	17	method	method	NOUN
bracis-28394	44	18	for	for	ADP
bracis-28394	44	19	mlc	mlc	NOUN
bracis-28394	44	20	,	,	PUNCT
bracis-28394	44	21	contributing	contribute	VERB
bracis-28394	44	22	to	to	ADP
bracis-28394	44	23	a	a	DET
bracis-28394	44	24	subject	subject	NOUN
bracis-28394	44	25	still	still	ADV
bracis-28394	44	26	little	little	ADV
bracis-28394	44	27	explored	explore	VERB
bracis-28394	44	28	,	,	PUNCT
bracis-28394	44	29	and	and	CCONJ
bracis-28394	44	30	ii	ii	X
bracis-28394	44	31	)	)	PUNCT
bracis-28394	44	32	incorporating	incorporate	VERB
bracis-28394	44	33	multi	multi	ADJ
bracis-28394	44	34	-	-	ADJ
bracis-28394	44	35	objective	objective	ADJ
bracis-28394	44	36	criteria	criterion	NOUN
bracis-28394	44	37	to	to	PART
bracis-28394	44	38	search	search	VERB
bracis-28394	44	39	for	for	ADP
bracis-28394	44	40	the	the	DET
bracis-28394	44	41	best	good	ADJ
bracis-28394	44	42	ml	ml	NOUN
bracis-28394	44	43	classifiers	classifier	NOUN
bracis-28394	44	44	.	.	PUNCT
bracis-28394	45	1	the	the	DET
bracis-28394	45	2	remainder	remainder	NOUN
bracis-28394	45	3	of	of	ADP
bracis-28394	45	4	this	this	DET
bracis-28394	45	5	article	article	NOUN
bracis-28394	45	6	is	be	AUX
bracis-28394	45	7	structured	structure	VERB
bracis-28394	45	8	as	as	SCONJ
bracis-28394	45	9	follows	follow	VERB
bracis-28394	45	10	:	:	PUNCT
bracis-28394	45	11	in	in	ADP
bracis-28394	45	12	sect	sect	NOUN
bracis-28394	45	13	.	.	PUNCT
bracis-28394	45	14	 	 	SPACE
bracis-28394	46	1	2	2	NUM
bracis-28394	46	2	,	,	PUNCT
bracis-28394	46	3	we	we	PRON
bracis-28394	46	4	review	review	VERB
bracis-28394	46	5	mlc	mlc	NOUN
bracis-28394	46	6	,	,	PUNCT
bracis-28394	46	7	multi	multi	ADJ
bracis-28394	46	8	-	-	ADJ
bracis-28394	46	9	objective	objective	ADJ
bracis-28394	46	10	optimization	optimization	NOUN
bracis-28394	46	11	algorithms	algorithm	NOUN
bracis-28394	46	12	,	,	PUNCT
bracis-28394	46	13	and	and	CCONJ
bracis-28394	46	14	related	related	ADJ
bracis-28394	46	15	works	work	NOUN
bracis-28394	46	16	;	;	PUNCT
bracis-28394	46	17	in	in	ADP
bracis-28394	46	18	sect	sect	NOUN
bracis-28394	46	19	.	.	PUNCT
bracis-28394	46	20	 	 	SPACE
bracis-28394	47	1	3	3	NUM
bracis-28394	47	2	,	,	PUNCT
bracis-28394	47	3	we	we	PRON
bracis-28394	47	4	describe	describe	VERB
bracis-28394	47	5	the	the	DET
bracis-28394	47	6	experimental	experimental	ADJ
bracis-28394	47	7	methodology	methodology	NOUN
bracis-28394	47	8	adopted	adopt	VERB
bracis-28394	47	9	in	in	ADP
bracis-28394	47	10	this	this	DET
bracis-28394	47	11	study	study	NOUN
bracis-28394	47	12	;	;	PUNCT
bracis-28394	47	13	in	in	ADP
bracis-28394	47	14	sect	sect	NOUN
bracis-28394	47	15	.	.	PUNCT
bracis-28394	47	16	 	 	SPACE
bracis-28394	48	1	4	4	NUM
bracis-28394	48	2	,	,	PUNCT
bracis-28394	48	3	we	we	PRON
bracis-28394	48	4	present	present	VERB
bracis-28394	48	5	the	the	DET
bracis-28394	48	6	results	result	NOUN
bracis-28394	48	7	and	and	CCONJ
bracis-28394	48	8	discuss	discuss	VERB
bracis-28394	48	9	their	their	PRON
bracis-28394	48	10	implications	implication	NOUN
bracis-28394	48	11	;	;	PUNCT
bracis-28394	48	12	finally	finally	ADV
bracis-28394	48	13	,	,	PUNCT
bracis-28394	48	14	sect	sect	NOUN
bracis-28394	48	15	.	.	PUNCT
bracis-28394	48	16	 	 	SPACE
bracis-28394	49	1	5	5	NUM
bracis-28394	49	2	presents	present	VERB
bracis-28394	49	3	the	the	DET
bracis-28394	49	4	findings	finding	NOUN
bracis-28394	49	5	and	and	CCONJ
bracis-28394	49	6	future	future	ADJ
bracis-28394	49	7	works	work	NOUN
bracis-28394	49	8	.	.	PUNCT
bracis-28394	50	1	2	2	NUM
bracis-28394	50	2	background	background	NOUN
bracis-28394	50	3	2.1	2.1	NUM
bracis-28394	50	4	multi	multi	ADJ
bracis-28394	50	5	-	-	ADJ
bracis-28394	50	6	label	label	ADJ
bracis-28394	50	7	classification	classification	NOUN
bracis-28394	50	8	given	give	VERB
bracis-28394	50	9	a	a	DET
bracis-28394	50	10	label	label	NOUN
bracis-28394	50	11	set	set	NOUN
bracis-28394	50	12	,	,	PUNCT
bracis-28394	50	13	slc	slc	PROPN
bracis-28394	50	14	associates	associate	VERB
bracis-28394	50	15	a	a	DET
bracis-28394	50	16	single	single	ADJ
bracis-28394	50	17	label	label	NOUN
bracis-28394	50	18	with	with	ADP
bracis-28394	50	19	each	each	DET
bracis-28394	50	20	instance	instance	NOUN
bracis-28394	50	21	in	in	ADP
bracis-28394	50	22	the	the	DET
bracis-28394	50	23	dataset	dataset	NOUN
bracis-28394	50	24	.	.	PUNCT
bracis-28394	51	1	in	in	ADP
bracis-28394	51	2	mlc	mlc	PROPN
bracis-28394	51	3	,	,	PUNCT
bracis-28394	51	4	an	an	DET
bracis-28394	51	5	instance	instance	NOUN
bracis-28394	51	6	can	can	AUX
bracis-28394	51	7	be	be	AUX
bracis-28394	51	8	classified	classify	VERB
bracis-28394	51	9	into	into	ADP
bracis-28394	51	10	two	two	NUM
bracis-28394	51	11	or	or	CCONJ
bracis-28394	51	12	more	more	ADJ
bracis-28394	51	13	labels	label	NOUN
bracis-28394	51	14	simultaneously	simultaneously	ADV
bracis-28394	51	15	.	.	PUNCT
bracis-28394	52	1	for	for	ADP
bracis-28394	52	2	example	example	NOUN
bracis-28394	52	3	,	,	PUNCT
bracis-28394	52	4	textual	textual	ADJ
bracis-28394	52	5	data	datum	NOUN
bracis-28394	52	6	can	can	AUX
bracis-28394	52	7	be	be	AUX
bracis-28394	52	8	classified	classify	VERB
bracis-28394	52	9	simultaneously	simultaneously	ADV
bracis-28394	52	10	with	with	ADP
bracis-28394	52	11	multiple	multiple	ADJ
bracis-28394	52	12	labels	label	NOUN
bracis-28394	52	13	,	,	PUNCT
bracis-28394	52	14	such	such	ADJ
bracis-28394	52	15	as	as	ADP
bracis-28394	52	16	images	image	NOUN
bracis-28394	52	17	,	,	PUNCT
bracis-28394	52	18	videos	video	NOUN
bracis-28394	52	19	,	,	PUNCT
bracis-28394	52	20	music	music	NOUN
bracis-28394	52	21	,	,	PUNCT
bracis-28394	52	22	and	and	CCONJ
bracis-28394	52	23	emotions	emotion	NOUN
bracis-28394	52	24	.	.	PUNCT
bracis-28394	53	1	since	since	SCONJ
bracis-28394	53	2	\(l	\(l	NOUN
bracis-28394	53	3	=	=	SYM
bracis-28394	53	4	\{l_j	\{l_j	VERB
bracis-28394	53	5	:	:	PUNCT
bracis-28394	53	6	j	j	PROPN
bracis-28394	53	7	=	=	SYM
bracis-28394	53	8	1	1	NUM
bracis-28394	53	9	,	,	PUNCT
bracis-28394	53	10	...	...	PUNCT
bracis-28394	53	11	,	,	PUNCT
bracis-28394	53	12	q\}\	q\}\	NOUN
bracis-28394	53	13	)	)	PUNCT
bracis-28394	53	14	is	be	AUX
bracis-28394	53	15	the	the	DET
bracis-28394	53	16	finite	finite	ADJ
bracis-28394	53	17	label	label	NOUN
bracis-28394	53	18	set	set	NOUN
bracis-28394	53	19	,	,	PUNCT
bracis-28394	53	20	mlc	mlc	PROPN
bracis-28394	53	21	associates	associate	NOUN
bracis-28394	53	22	to	to	ADP
bracis-28394	53	23	each	each	DET
bracis-28394	53	24	instance	instance	NOUN
bracis-28394	53	25	\({\textbf	\({\textbf	PROPN
bracis-28394	53	26	{	{	PUNCT
bracis-28394	53	27	x}}_i\	x}}_i\	NOUN
bracis-28394	53	28	)	)	PUNCT
bracis-28394	53	29	of	of	ADP
bracis-28394	53	30	the	the	DET
bracis-28394	53	31	dataset	dataset	NOUN
bracis-28394	53	32	a	a	DET
bracis-28394	53	33	set	set	NOUN
bracis-28394	53	34	of	of	ADP
bracis-28394	53	35	labels	label	NOUN
bracis-28394	53	36	\({\textbf	\({\textbf	PROPN
bracis-28394	53	37	{	{	PUNCT
bracis-28394	53	38	y}}_i\	y}}_i\	NOUN
bracis-28394	53	39	)	)	PUNCT
bracis-28394	53	40	such	such	ADJ
bracis-28394	53	41	that	that	SCONJ
bracis-28394	53	42	\({\textbf	\({\textbf	PROPN
bracis-28394	53	43	{	{	PUNCT
bracis-28394	53	44	y}}_i	y}}_i	NOUN
bracis-28394	53	45	\subseteq	\subseteq	PROPN
bracis-28394	53	46	l\	l\	PROPN
bracis-28394	53	47	)	)	PUNCT
bracis-28394	53	48	 	 	SPACE
bracis-28394	54	1	[	[	X
bracis-28394	54	2	17	17	NUM
bracis-28394	54	3	]	]	PUNCT
bracis-28394	54	4	.	.	PUNCT
bracis-28394	55	1	according	accord	VERB
bracis-28394	55	2	to	to	ADP
bracis-28394	55	3	madjarov	madjarov	PROPN
bracis-28394	55	4	et	et	PROPN
bracis-28394	55	5	al	al	PROPN
bracis-28394	55	6	.	.	PUNCT
bracis-28394	55	7	 	 	SPACE
bracis-28394	56	1	[	[	X
bracis-28394	56	2	9	9	NUM
bracis-28394	56	3	]	]	PUNCT
bracis-28394	56	4	,	,	PUNCT
bracis-28394	56	5	mlc	mlc	PROPN
bracis-28394	56	6	algorithms	algorithm	NOUN
bracis-28394	56	7	can	can	AUX
bracis-28394	56	8	be	be	AUX
bracis-28394	56	9	characterized	characterize	VERB
bracis-28394	56	10	into	into	ADP
bracis-28394	56	11	three	three	NUM
bracis-28394	56	12	approaches	approach	NOUN
bracis-28394	56	13	:	:	PUNCT
bracis-28394	56	14	i	i	NOUN
bracis-28394	56	15	)	)	PUNCT
bracis-28394	56	16	problem	problem	NOUN
bracis-28394	56	17	transformation	transformation	NOUN
bracis-28394	56	18	(	(	PUNCT
bracis-28394	56	19	pt	pt	NOUN
bracis-28394	56	20	)	)	PUNCT
bracis-28394	56	21	,	,	PUNCT
bracis-28394	56	22	which	which	PRON
bracis-28394	56	23	transforms	transform	VERB
bracis-28394	56	24	multi	multi	ADJ
bracis-28394	56	25	-	-	ADJ
bracis-28394	56	26	label	label	ADJ
bracis-28394	56	27	problems	problem	NOUN
bracis-28394	56	28	into	into	ADP
bracis-28394	56	29	single	single	ADJ
bracis-28394	56	30	-	-	PUNCT
bracis-28394	56	31	label	label	NOUN
bracis-28394	56	32	problems	problem	NOUN
bracis-28394	56	33	and	and	CCONJ
bracis-28394	56	34	then	then	ADV
bracis-28394	56	35	employs	employ	VERB
bracis-28394	56	36	traditional	traditional	ADJ
bracis-28394	56	37	classification	classification	NOUN
bracis-28394	56	38	algorithms	algorithm	NOUN
bracis-28394	56	39	;	;	PUNCT
bracis-28394	56	40	ii	ii	X
bracis-28394	56	41	)	)	PUNCT
bracis-28394	56	42	algorithm	algorithm	NOUN
bracis-28394	56	43	adaptation	adaptation	NOUN
bracis-28394	56	44	(	(	PUNCT
bracis-28394	56	45	aa	aa	NOUN
bracis-28394	56	46	)	)	PUNCT
bracis-28394	56	47	,	,	PUNCT
bracis-28394	56	48	which	which	PRON
bracis-28394	56	49	creates	create	VERB
bracis-28394	56	50	algorithms	algorithm	NOUN
bracis-28394	56	51	that	that	PRON
bracis-28394	56	52	handle	handle	VERB
bracis-28394	56	53	multiple	multiple	ADJ
bracis-28394	56	54	labels	label	NOUN
bracis-28394	56	55	simultaneously	simultaneously	ADV
bracis-28394	56	56	;	;	PUNCT
bracis-28394	56	57	and	and	CCONJ
bracis-28394	56	58	iii	iii	X
bracis-28394	56	59	)	)	PUNCT
bracis-28394	56	60	ensemble	ensemble	ADJ
bracis-28394	56	61	,	,	PUNCT
bracis-28394	56	62	which	which	PRON
bracis-28394	56	63	employs	employ	VERB
bracis-28394	56	64	a	a	DET
bracis-28394	56	65	set	set	NOUN
bracis-28394	56	66	of	of	ADP
bracis-28394	56	67	mlcs	mlcs	NOUN
bracis-28394	56	68	as	as	ADP
bracis-28394	56	69	base	base	NOUN
bracis-28394	56	70	classifiers	classifier	NOUN
bracis-28394	56	71	.	.	PUNCT
bracis-28394	57	1	2.2	2.2	NUM
bracis-28394	57	2	multi	multi	ADJ
bracis-28394	57	3	-	-	ADJ
bracis-28394	57	4	objective	objective	ADJ
bracis-28394	57	5	optimization	optimization	NOUN
bracis-28394	57	6	multi	multi	ADJ
bracis-28394	57	7	-	-	ADJ
bracis-28394	57	8	objective	objective	ADJ
bracis-28394	57	9	optimization	optimization	NOUN
bracis-28394	57	10	aims	aim	VERB
bracis-28394	57	11	to	to	PART
bracis-28394	57	12	solve	solve	VERB
bracis-28394	57	13	real	real	ADJ
bracis-28394	57	14	problems	problem	NOUN
bracis-28394	57	15	with	with	ADP
bracis-28394	57	16	conflicting	conflicting	ADJ
bracis-28394	57	17	objectives	objective	NOUN
bracis-28394	57	18	,	,	PUNCT
bracis-28394	57	19	subject	subject	ADJ
bracis-28394	57	20	to	to	ADP
bracis-28394	57	21	possible	possible	ADJ
bracis-28394	57	22	constraints	constraint	NOUN
bracis-28394	57	23	of	of	ADP
bracis-28394	57	24	the	the	DET
bracis-28394	57	25	problem	problem	NOUN
bracis-28394	57	26	 	 	SPACE
bracis-28394	58	1	[	[	X
bracis-28394	58	2	3	3	NUM
bracis-28394	58	3	]	]	PUNCT
bracis-28394	58	4	.	.	PUNCT
bracis-28394	59	1	in	in	ADP
bracis-28394	59	2	the	the	DET
bracis-28394	59	3	context	context	NOUN
bracis-28394	59	4	of	of	ADP
bracis-28394	59	5	multi	multi	ADJ
bracis-28394	59	6	-	-	ADJ
bracis-28394	59	7	objective	objective	ADJ
bracis-28394	59	8	optimization	optimization	NOUN
bracis-28394	59	9	for	for	ADP
bracis-28394	59	10	ml	ml	NOUN
bracis-28394	59	11	problems	problem	NOUN
bracis-28394	59	12	,	,	PUNCT
bracis-28394	59	13	karl	karl	PROPN
bracis-28394	59	14	et	et	PROPN
bracis-28394	59	15	al	al	PROPN
bracis-28394	59	16	.	.	PUNCT
bracis-28394	59	17	 	 	SPACE
bracis-28394	60	1	[	[	X
bracis-28394	60	2	8	8	NUM
bracis-28394	60	3	]	]	PUNCT
bracis-28394	60	4	formally	formally	ADV
bracis-28394	60	5	define	define	VERB
bracis-28394	60	6	the	the	DET
bracis-28394	60	7	problem	problem	NOUN
bracis-28394	60	8	according	accord	VERB
bracis-28394	60	9	to	to	ADP
bracis-28394	60	10	eq	eq	PROPN
bracis-28394	60	11	.	.	PUNCT
bracis-28394	60	12	 	 	SPACE
bracis-28394	60	13	1	1	NUM
bracis-28394	60	14	.	.	PUNCT
bracis-28394	60	15	$	$	SYM
bracis-28394	60	16	$	$	SYM
bracis-28394	60	17	\begin{aligned	\begin{aligne	VERB
bracis-28394	60	18	}	}	PUNCT
bracis-28394	60	19	\begin{array}{llll	\begin{array}{llll	ADJ
bracis-28394	60	20	}	}	PUNCT
bracis-28394	60	21	\min	\min	NOUN
bracis-28394	60	22	_	_	PUNCT
bracis-28394	60	23	{	{	PUNCT
bracis-28394	60	24	\lambda	\lambda	PROPN
bracis-28394	60	25	\in	\in	PROPN
bracis-28394	60	26	\lambda	\lambda	PROPN
bracis-28394	60	27	}	}	PUNCT
bracis-28394	60	28	~~c(\lambda	~~c(\lambda	PUNCT
bracis-28394	60	29	)	)	PUNCT
bracis-28394	60	30	,	,	PUNCT
bracis-28394	60	31	~~subject	~~subject	NUM
bracis-28394	60	32	~	~	SYM
bracis-28394	60	33	to:\\	to:\\	ADJ
bracis-28394	60	34	k_1(\lambda	k_1(\lambda	NOUN
bracis-28394	60	35	)	)	PUNCT
bracis-28394	60	36	=	=	SYM
bracis-28394	60	37	0	0	NUM
bracis-28394	60	38	,	,	PUNCT
bracis-28394	60	39	...	...	PUNCT
bracis-28394	60	40	,	,	PUNCT
bracis-28394	60	41	k_n(\lambda	k_n(\lambda	NOUN
bracis-28394	60	42	)	)	PUNCT
bracis-28394	60	43	=	=	SYM
bracis-28394	60	44	0\\	0\\	NUM
bracis-28394	60	45	\hat{k}_1(\lambda	\hat{k}_1(\lambda	PROPN
bracis-28394	60	46	)	)	PUNCT
bracis-28394	60	47	\ge	\ge	PROPN
bracis-28394	60	48	0	0	NUM
bracis-28394	60	49	,	,	PUNCT
bracis-28394	60	50	...	...	PUNCT
bracis-28394	60	51	,	,	PUNCT
bracis-28394	60	52	\hat{k}_n(\lambda	\hat{k}_n(\lambda	ADJ
bracis-28394	60	53	)	)	PUNCT
bracis-28394	60	54	\ge	\ge	PROPN
bracis-28394	60	55	0	0	NUM
bracis-28394	60	56	\end{array	\end{array	ADJ
bracis-28394	60	57	}	}	PUNCT
bracis-28394	60	58	\end{aligned}$$	\end{aligned}$$	X
bracis-28394	60	59	(	(	PUNCT
bracis-28394	60	60	1	1	NUM
bracis-28394	60	61	)	)	PUNCT
bracis-28394	60	62	since	since	SCONJ
bracis-28394	60	63	\(\varlambda	\(\varlambda	NOUN
bracis-28394	60	64	\	\	PROPN
bracis-28394	60	65	)	)	PUNCT
bracis-28394	60	66	is	be	AUX
bracis-28394	60	67	the	the	DET
bracis-28394	60	68	set	set	NOUN
bracis-28394	60	69	of	of	ADP
bracis-28394	60	70	possible	possible	ADJ
bracis-28394	60	71	ml	ml	NOUN
bracis-28394	60	72	candidate	candidate	NOUN
bracis-28394	60	73	solutions	solution	NOUN
bracis-28394	60	74	,	,	PUNCT
bracis-28394	60	75	we	we	PRON
bracis-28394	60	76	want	want	VERB
bracis-28394	60	77	to	to	PART
bracis-28394	60	78	evaluate	evaluate	VERB
bracis-28394	60	79	each	each	DET
bracis-28394	60	80	candidate	candidate	NOUN
bracis-28394	60	81	solution	solution	NOUN
bracis-28394	60	82	\(\lambda	\(\lambda	NOUN
bracis-28394	60	83	\	\	NOUN
bracis-28394	60	84	)	)	PUNCT
bracis-28394	60	85	.	.	PUNCT
bracis-28394	61	1	the	the	DET
bracis-28394	61	2	\(\lambda	\(\lambda	NOUN
bracis-28394	61	3	\	\	NOUN
bracis-28394	61	4	)	)	PUNCT
bracis-28394	61	5	evaluation	evaluation	NOUN
bracis-28394	61	6	is	be	AUX
bracis-28394	61	7	calculated	calculate	VERB
bracis-28394	61	8	from	from	ADP
bracis-28394	61	9	the	the	DET
bracis-28394	61	10	m	m	PROPN
bracis-28394	61	11	evaluation	evaluation	NOUN
bracis-28394	61	12	criteria	criterion	NOUN
bracis-28394	61	13	of	of	ADP
bracis-28394	61	14	the	the	DET
bracis-28394	61	15	ml	ml	PROPN
bracis-28394	61	16	models	model	NOUN
bracis-28394	61	17	:	:	PUNCT
bracis-28394	61	18	\(c_{1}:\varlambda	\(c_{1}:\varlambda	PROPN
bracis-28394	61	19	\rightarrow	\rightarrow	PROPN
bracis-28394	61	20	\mathbb	\mathbb	ADV
bracis-28394	61	21	{	{	PUNCT
bracis-28394	61	22	r},\dots	r},\dot	NOUN
bracis-28394	61	23	,	,	PUNCT
bracis-28394	61	24	c_{m}:\varlambda	c_{m}:\varlambda	PROPN
bracis-28394	61	25	\rightarrow	\rightarrow	PROPN
bracis-28394	61	26	\mathbb	\mathbb	PROPN
bracis-28394	61	27	{	{	PUNCT
bracis-28394	61	28	r}\	r}\	NUM
bracis-28394	61	29	)	)	PUNCT
bracis-28394	61	30	,	,	PUNCT
bracis-28394	61	31	with	with	ADP
bracis-28394	61	32	\(m\in	\(m\in	PUNCT
bracis-28394	61	33	\mathbb	\mathbb	PROPN
bracis-28394	61	34	{	{	PUNCT
bracis-28394	61	35	n}\	n}\	NUM
bracis-28394	61	36	)	)	PUNCT
bracis-28394	61	37	.	.	PUNCT
bracis-28394	62	1	the	the	DET
bracis-28394	62	2	objective	objective	NOUN
bracis-28394	62	3	is	be	AUX
bracis-28394	62	4	to	to	PART
bracis-28394	62	5	find	find	VERB
bracis-28394	62	6	,	,	PUNCT
bracis-28394	62	7	among	among	ADP
bracis-28394	62	8	all	all	DET
bracis-28394	62	9	the	the	DET
bracis-28394	62	10	candidate	candidate	NOUN
bracis-28394	62	11	solutions	solution	NOUN
bracis-28394	62	12	,	,	PUNCT
bracis-28394	62	13	the	the	DET
bracis-28394	62	14	one	one	NOUN
bracis-28394	62	15	with	with	ADP
bracis-28394	62	16	the	the	DET
bracis-28394	62	17	minimum	minimum	ADJ
bracis-28394	62	18	evaluation	evaluation	NOUN
bracis-28394	62	19	\(c(\lambda	\(c(\lambda	NOUN
bracis-28394	62	20	)	)	PUNCT
bracis-28394	63	1	\	\	PROPN
bracis-28394	63	2	)	)	PUNCT
bracis-28394	63	3	,	,	PUNCT
bracis-28394	63	4	being	be	AUX
bracis-28394	63	5	\(c:\varlambda	\(c:\varlambda	NOUN
bracis-28394	63	6	\rightarrow	\rightarrow	PROPN
bracis-28394	63	7	\mathbb	\mathbb	PROPN
bracis-28394	63	8	{	{	PUNCT
bracis-28394	63	9	r}^m\	r}^m\	PROPN
bracis-28394	63	10	)	)	PUNCT
bracis-28394	63	11	.	.	PUNCT
bracis-28394	64	1	the	the	DET
bracis-28394	64	2	multi	multi	ADJ
bracis-28394	64	3	-	-	ADJ
bracis-28394	64	4	objective	objective	ADJ
bracis-28394	64	5	optimization	optimization	NOUN
bracis-28394	64	6	result	result	NOUN
bracis-28394	64	7	is	be	AUX
bracis-28394	64	8	a	a	DET
bracis-28394	64	9	set	set	NOUN
bracis-28394	64	10	of	of	ADP
bracis-28394	64	11	optimal	optimal	ADJ
bracis-28394	64	12	solutions	solution	NOUN
bracis-28394	64	13	rather	rather	ADV
bracis-28394	64	14	than	than	ADP
bracis-28394	64	15	a	a	DET
bracis-28394	64	16	single	single	ADJ
bracis-28394	64	17	solution	solution	NOUN
bracis-28394	64	18	 	 	SPACE
bracis-28394	65	1	[	[	X
bracis-28394	65	2	3	3	NUM
bracis-28394	65	3	]	]	PUNCT
bracis-28394	65	4	.	.	PUNCT
bracis-28394	66	1	this	this	DET
bracis-28394	66	2	set	set	NOUN
bracis-28394	66	3	is	be	AUX
bracis-28394	66	4	known	know	VERB
bracis-28394	66	5	as	as	ADP
bracis-28394	66	6	pareto	pareto	ADJ
bracis-28394	66	7	optimal	optimal	ADJ
bracis-28394	66	8	solutions	solution	NOUN
bracis-28394	66	9	or	or	CCONJ
bracis-28394	66	10	pareto	pareto	ADJ
bracis-28394	66	11	frontier	frontier	NOUN
bracis-28394	66	12	.	.	PUNCT
bracis-28394	67	1	they	they	PRON
bracis-28394	67	2	have	have	VERB
bracis-28394	67	3	different	different	ADJ
bracis-28394	67	4	values	value	NOUN
bracis-28394	67	5	for	for	ADP
bracis-28394	67	6	the	the	DET
bracis-28394	67	7	objectives	objective	NOUN
bracis-28394	67	8	,	,	PUNCT
bracis-28394	67	9	where	where	SCONJ
bracis-28394	67	10	a	a	DET
bracis-28394	67	11	solution	solution	NOUN
bracis-28394	67	12	can	can	AUX
bracis-28394	67	13	be	be	AUX
bracis-28394	67	14	good	good	ADJ
bracis-28394	67	15	considering	consider	VERB
bracis-28394	67	16	one	one	NUM
bracis-28394	67	17	of	of	ADP
bracis-28394	67	18	the	the	DET
bracis-28394	67	19	objectives	objective	NOUN
bracis-28394	67	20	but	but	CCONJ
bracis-28394	67	21	poor	poor	ADJ
bracis-28394	67	22	concerning	concern	VERB
bracis-28394	67	23	the	the	DET
bracis-28394	67	24	others	other	NOUN
bracis-28394	67	25	.	.	PUNCT
bracis-28394	68	1	it	it	PRON
bracis-28394	68	2	is	be	AUX
bracis-28394	68	3	up	up	ADP
bracis-28394	68	4	to	to	ADP
bracis-28394	68	5	the	the	DET
bracis-28394	68	6	users	user	NOUN
bracis-28394	68	7	to	to	PART
bracis-28394	68	8	choose	choose	VERB
bracis-28394	68	9	the	the	DET
bracis-28394	68	10	best	good	ADJ
bracis-28394	68	11	solution	solution	NOUN
bracis-28394	68	12	among	among	ADP
bracis-28394	68	13	the	the	DET
bracis-28394	68	14	resulting	result	VERB
bracis-28394	68	15	solutions	solution	NOUN
bracis-28394	68	16	.	.	PUNCT
bracis-28394	69	1	most	most	ADJ
bracis-28394	69	2	multi	multi	ADJ
bracis-28394	69	3	-	-	ADJ
bracis-28394	69	4	objective	objective	ADJ
bracis-28394	69	5	algorithms	algorithm	NOUN
bracis-28394	69	6	use	use	VERB
bracis-28394	69	7	the	the	DET
bracis-28394	69	8	concept	concept	NOUN
bracis-28394	69	9	of	of	ADP
bracis-28394	69	10	dominance	dominance	NOUN
bracis-28394	69	11	to	to	PART
bracis-28394	69	12	find	find	VERB
bracis-28394	69	13	pareto	pareto	ADJ
bracis-28394	69	14	optimal	optimal	ADJ
bracis-28394	69	15	solutions	solution	NOUN
bracis-28394	69	16	.	.	PUNCT
bracis-28394	70	1	so	so	ADV
bracis-28394	70	2	for	for	ADP
bracis-28394	70	3	a	a	DET
bracis-28394	70	4	minimization	minimization	NOUN
bracis-28394	70	5	problem	problem	NOUN
bracis-28394	70	6	,	,	PUNCT
bracis-28394	70	7	solution	solution	NOUN
bracis-28394	70	8	\(\lambda	\(\lambda	NOUN
bracis-28394	70	9	\	\	NOUN
bracis-28394	70	10	)	)	PUNCT
bracis-28394	70	11	dominates	dominate	VERB
bracis-28394	70	12	\(\lambda	\(\lambda	NOUN
bracis-28394	70	13	^{'}\	^{'}\	NOUN
bracis-28394	70	14	)	)	PUNCT
bracis-28394	71	1	if	if	SCONJ
bracis-28394	71	2	only	only	ADV
bracis-28394	71	3	\(\forall	\(\forall	ADV
bracis-28394	71	4	i	i	PRON
bracis-28394	71	5	\in	\in	PROPN
bracis-28394	71	6	\{1	\{1	PROPN
bracis-28394	71	7	,	,	PUNCT
bracis-28394	71	8	...	...	PUNCT
bracis-28394	71	9	,	,	PUNCT
bracis-28394	71	10	m\	m\	ADJ
bracis-28394	71	11	}	}	PUNCT
bracis-28394	71	12	:	:	PUNCT
bracis-28394	71	13	c(\lambda	c(\lambda	NOUN
bracis-28394	71	14	_	_	PUNCT
bracis-28394	71	15	i	i	NOUN
bracis-28394	71	16	)	)	PUNCT
bracis-28394	71	17	\le	\le	NOUN
bracis-28394	71	18	c(\lambda	c(\lambda	NOUN
bracis-28394	71	19	^{'}_{i})\	^{'}_{i})\	NOUN
bracis-28394	71	20	)	)	PUNCT
bracis-28394	71	21	and	and	CCONJ
bracis-28394	71	22	\(\exists	\(\exists	PROPN
bracis-28394	71	23	j	j	PROPN
bracis-28394	71	24	\in	\in	PROPN
bracis-28394	71	25	\{1	\{1	PROPN
bracis-28394	71	26	,	,	PUNCT
bracis-28394	71	27	...	...	PUNCT
bracis-28394	71	28	,	,	PUNCT
bracis-28394	71	29	m\	m\	ADJ
bracis-28394	71	30	}	}	PUNCT
bracis-28394	71	31	:	:	PUNCT
bracis-28394	71	32	c(\lambda	c(\lambda	PROPN
bracis-28394	71	33	_	_	PUNCT
bracis-28394	71	34	j	j	NOUN
bracis-28394	71	35	)	)	PUNCT
bracis-28394	71	36	<	<	X
bracis-28394	71	37	c(\lambda	c(\lambda	X
bracis-28394	71	38	^{'}_{j	^{'}_{j	PRON
bracis-28394	71	39	}	}	PUNCT
bracis-28394	71	40	)	)	PUNCT
bracis-28394	71	41	\	\	NOUN
bracis-28394	71	42	)	)	PUNCT
bracis-28394	71	43	 	 	SPACE
bracis-28394	72	1	[	[	X
bracis-28394	72	2	8	8	NUM
bracis-28394	72	3	]	]	PUNCT
bracis-28394	72	4	.	.	PUNCT
bracis-28394	73	1	in	in	ADP
bracis-28394	73	2	other	other	ADJ
bracis-28394	73	3	words	word	NOUN
bracis-28394	73	4	,	,	PUNCT
bracis-28394	73	5	\(\lambda	\(\lambda	NOUN
bracis-28394	73	6	\	\	NOUN
bracis-28394	73	7	)	)	PUNCT
bracis-28394	73	8	dominates	dominate	VERB
bracis-28394	73	9	\(\lambda	\(\lambda	NOUN
bracis-28394	73	10	^{'}\	^{'}\	NOUN
bracis-28394	73	11	)	)	PUNCT
bracis-28394	73	12	if	if	SCONJ
bracis-28394	73	13	the	the	DET
bracis-28394	73	14	goal	goal	NOUN
bracis-28394	73	15	values	value	NOUN
bracis-28394	73	16	of	of	ADP
bracis-28394	73	17	\(\lambda	\(\lambda	NOUN
bracis-28394	73	18	\	\	NOUN
bracis-28394	73	19	)	)	PUNCT
bracis-28394	73	20	are	be	AUX
bracis-28394	73	21	equivalent	equivalent	ADJ
bracis-28394	73	22	to	to	ADP
bracis-28394	73	23	or	or	CCONJ
bracis-28394	73	24	better	well	ADJ
bracis-28394	73	25	than	than	ADP
bracis-28394	73	26	the	the	DET
bracis-28394	73	27	goal	goal	NOUN
bracis-28394	73	28	values	value	NOUN
bracis-28394	73	29	of	of	ADP
bracis-28394	73	30	\(\lambda	\(\lambda	PRON
bracis-28394	73	31	^{'}\	^{'}\	NUM
bracis-28394	73	32	)	)	PUNCT
bracis-28394	73	33	and	and	CCONJ
bracis-28394	73	34	\(\lambda	\(\lambda	NOUN
bracis-28394	73	35	\	\	NOUN
bracis-28394	73	36	)	)	PUNCT
bracis-28394	73	37	surpasses	surpass	VERB
bracis-28394	73	38	\(\lambda	\(\lambda	NOUN
bracis-28394	73	39	^{'}\	^{'}\	NOUN
bracis-28394	73	40	)	)	PUNCT
bracis-28394	73	41	in	in	ADP
bracis-28394	73	42	at	at	ADV
bracis-28394	73	43	least	least	ADJ
bracis-28394	73	44	one	one	NUM
bracis-28394	73	45	of	of	ADP
bracis-28394	73	46	the	the	DET
bracis-28394	73	47	objectives	objective	NOUN
bracis-28394	73	48	.	.	PUNCT
bracis-28394	74	1	any	any	DET
bracis-28394	74	2	other	other	ADJ
bracis-28394	74	3	solution	solution	NOUN
bracis-28394	74	4	does	do	AUX
bracis-28394	74	5	not	not	PART
bracis-28394	74	6	dominate	dominate	VERB
bracis-28394	74	7	pareto	pareto	ADJ
bracis-28394	74	8	optimal	optimal	ADJ
bracis-28394	74	9	solutions	solution	NOUN
bracis-28394	74	10	.	.	PUNCT
bracis-28394	75	1	based	base	VERB
bracis-28394	75	2	on	on	ADP
bracis-28394	75	3	the	the	DET
bracis-28394	75	4	dominance	dominance	NOUN
bracis-28394	75	5	concept	concept	NOUN
bracis-28394	75	6	,	,	PUNCT
bracis-28394	75	7	we	we	PRON
bracis-28394	75	8	describe	describe	VERB
bracis-28394	75	9	below	below	ADP
bracis-28394	75	10	two	two	NUM
bracis-28394	75	11	algorithms	algorithm	NOUN
bracis-28394	75	12	:	:	PUNCT
bracis-28394	75	13	multi	multi	ADJ
bracis-28394	75	14	-	-	ADJ
bracis-28394	75	15	objective	objective	ADJ
bracis-28394	75	16	random	random	ADJ
bracis-28394	75	17	search	search	NOUN
bracis-28394	75	18	(	(	PUNCT
bracis-28394	75	19	mors	mor	NOUN
bracis-28394	75	20	):	):	PUNCT
bracis-28394	75	21	random	random	ADJ
bracis-28394	75	22	search	search	NOUN
bracis-28394	75	23	(	(	PUNCT
bracis-28394	75	24	rs	rs	NOUN
bracis-28394	75	25	)	)	PUNCT
bracis-28394	75	26	is	be	AUX
bracis-28394	75	27	one	one	NUM
bracis-28394	75	28	of	of	ADP
bracis-28394	75	29	the	the	DET
bracis-28394	75	30	most	most	ADV
bracis-28394	75	31	popular	popular	ADJ
bracis-28394	75	32	mono	mono	NOUN
bracis-28394	75	33	-	-	PUNCT
bracis-28394	75	34	objective	objective	ADJ
bracis-28394	75	35	optimization	optimization	NOUN
bracis-28394	75	36	algorithms	algorithm	NOUN
bracis-28394	75	37	.	.	PUNCT
bracis-28394	76	1	given	give	VERB
bracis-28394	76	2	t	t	PROPN
bracis-28394	76	3	trials	trial	NOUN
bracis-28394	76	4	,	,	PUNCT
bracis-28394	76	5	the	the	DET
bracis-28394	76	6	mono	mono	NOUN
bracis-28394	76	7	-	-	PUNCT
bracis-28394	76	8	objective	objective	ADJ
bracis-28394	76	9	rs	rs	ADJ
bracis-28394	76	10	algorithm	algorithm	NOUN
bracis-28394	76	11	randomly	randomly	ADV
bracis-28394	76	12	produces	produce	VERB
bracis-28394	76	13	candidate	candidate	NOUN
bracis-28394	76	14	solutions	solution	NOUN
bracis-28394	76	15	and	and	CCONJ
bracis-28394	76	16	evaluates	evaluate	VERB
bracis-28394	76	17	these	these	DET
bracis-28394	76	18	solutions	solution	NOUN
bracis-28394	76	19	in	in	ADP
bracis-28394	76	20	search	search	NOUN
bracis-28394	76	21	of	of	ADP
bracis-28394	76	22	the	the	DET
bracis-28394	76	23	best	good	ADJ
bracis-28394	76	24	one	one	NUM
bracis-28394	76	25	.	.	PUNCT
bracis-28394	77	1	according	accord	VERB
bracis-28394	77	2	to	to	ADP
bracis-28394	77	3	karl	karl	PROPN
bracis-28394	77	4	et	et	PROPN
bracis-28394	77	5	al	al	PROPN
bracis-28394	77	6	.	.	PUNCT
bracis-28394	77	7	 	 	SPACE
bracis-28394	78	1	[	[	X
bracis-28394	78	2	8	8	NUM
bracis-28394	78	3	]	]	PUNCT
bracis-28394	78	4	,	,	PUNCT
bracis-28394	78	5	the	the	DET
bracis-28394	78	6	multi	multi	ADJ
bracis-28394	78	7	-	-	ADJ
bracis-28394	78	8	objective	objective	ADJ
bracis-28394	78	9	version	version	NOUN
bracis-28394	78	10	of	of	ADP
bracis-28394	78	11	rs	rs	NOUN
bracis-28394	78	12	can	can	AUX
bracis-28394	78	13	be	be	AUX
bracis-28394	78	14	derived	derive	VERB
bracis-28394	78	15	from	from	ADP
bracis-28394	78	16	rs	rs	NOUN
bracis-28394	78	17	and	and	CCONJ
bracis-28394	78	18	the	the	DET
bracis-28394	78	19	concept	concept	NOUN
bracis-28394	78	20	of	of	ADP
bracis-28394	78	21	dominance	dominance	NOUN
bracis-28394	78	22	.	.	PUNCT
bracis-28394	79	1	for	for	ADP
bracis-28394	79	2	this	this	PRON
bracis-28394	79	3	,	,	PUNCT
bracis-28394	79	4	we	we	PRON
bracis-28394	79	5	assess	assess	VERB
bracis-28394	79	6	the	the	DET
bracis-28394	79	7	t	t	NOUN
bracis-28394	79	8	random	random	ADJ
bracis-28394	79	9	samples	sample	NOUN
bracis-28394	79	10	and	and	CCONJ
bracis-28394	79	11	return	return	VERB
bracis-28394	79	12	the	the	DET
bracis-28394	79	13	set	set	NOUN
bracis-28394	79	14	of	of	ADP
bracis-28394	79	15	non	non	ADJ
bracis-28394	79	16	-	-	ADJ
bracis-28394	79	17	dominated	dominated	ADJ
bracis-28394	79	18	solutions	solution	NOUN
bracis-28394	79	19	,	,	PUNCT
bracis-28394	79	20	the	the	DET
bracis-28394	79	21	pareto	pareto	ADJ
bracis-28394	79	22	front	front	NOUN
bracis-28394	79	23	.	.	PUNCT
bracis-28394	80	1	non	non	ADJ
bracis-28394	80	2	-	-	ADJ
bracis-28394	80	3	dominated	dominated	ADJ
bracis-28394	80	4	sorting	sort	VERB
bracis-28394	80	5	genetic	genetic	ADJ
bracis-28394	80	6	algorithm	algorithm	NOUN
bracis-28394	80	7	ii	ii	PROPN
bracis-28394	80	8	(	(	PUNCT
bracis-28394	80	9	nsga	nsga	NOUN
bracis-28394	80	10	-	-	PUNCT
bracis-28394	80	11	ii	ii	NOUN
bracis-28394	80	12	):	):	PUNCT
bracis-28394	80	13	nsga	nsga	PROPN
bracis-28394	80	14	-	-	PUNCT
bracis-28394	80	15	ii	ii	PROPN
bracis-28394	80	16	is	be	AUX
bracis-28394	80	17	an	an	DET
bracis-28394	80	18	evolutionary	evolutionary	ADJ
bracis-28394	80	19	algorithm	algorithm	NOUN
bracis-28394	80	20	 	 	SPACE
bracis-28394	81	1	[	[	X
bracis-28394	81	2	2	2	NUM
bracis-28394	81	3	]	]	PUNCT
bracis-28394	81	4	.	.	PUNCT
bracis-28394	81	5	given	give	VERB
bracis-28394	81	6	an	an	DET
bracis-28394	81	7	initial	initial	ADJ
bracis-28394	81	8	population	population	NOUN
bracis-28394	81	9	,	,	PUNCT
bracis-28394	81	10	the	the	DET
bracis-28394	81	11	population	population	NOUN
bracis-28394	81	12	evolves	evolve	VERB
bracis-28394	81	13	over	over	ADP
bracis-28394	81	14	generations	generation	NOUN
bracis-28394	81	15	by	by	ADP
bracis-28394	81	16	crossover	crossover	NOUN
bracis-28394	81	17	,	,	PUNCT
bracis-28394	81	18	mutation	mutation	NOUN
bracis-28394	81	19	,	,	PUNCT
bracis-28394	81	20	and	and	CCONJ
bracis-28394	81	21	tournament	tournament	NOUN
bracis-28394	81	22	selection	selection	NOUN
bracis-28394	81	23	operations	operation	NOUN
bracis-28394	81	24	.	.	PUNCT
bracis-28394	82	1	the	the	DET
bracis-28394	82	2	fittest	fit	ADJ
bracis-28394	82	3	individuals	individual	NOUN
bracis-28394	82	4	,	,	PUNCT
bracis-28394	82	5	among	among	ADP
bracis-28394	82	6	parents	parent	NOUN
bracis-28394	82	7	and	and	CCONJ
bracis-28394	82	8	offspring	offspring	NOUN
bracis-28394	82	9	,	,	PUNCT
bracis-28394	82	10	are	be	AUX
bracis-28394	82	11	selected	select	VERB
bracis-28394	82	12	for	for	ADP
bracis-28394	82	13	subsequent	subsequent	ADJ
bracis-28394	82	14	generations	generation	NOUN
bracis-28394	82	15	.	.	PUNCT
bracis-28394	83	1	fitness	fitness	NOUN
bracis-28394	83	2	is	be	AUX
bracis-28394	83	3	measured	measure	VERB
bracis-28394	83	4	by	by	ADP
bracis-28394	83	5	non	non	ADJ
bracis-28394	83	6	-	-	ADJ
bracis-28394	83	7	domination	domination	ADJ
bracis-28394	83	8	rank	rank	NOUN
bracis-28394	83	9	and	and	CCONJ
bracis-28394	83	10	crowding	crowd	VERB
bracis-28394	83	11	distance	distance	NOUN
bracis-28394	83	12	density	density	NOUN
bracis-28394	83	13	estimate	estimate	NOUN
bracis-28394	83	14	.	.	PUNCT
bracis-28394	84	1	thus	thus	ADV
bracis-28394	84	2	,	,	PUNCT
bracis-28394	84	3	the	the	DET
bracis-28394	84	4	populations	population	NOUN
bracis-28394	84	5	are	be	AUX
bracis-28394	84	6	composed	compose	VERB
bracis-28394	84	7	of	of	ADP
bracis-28394	84	8	individuals	individual	NOUN
bracis-28394	84	9	from	from	ADP
bracis-28394	84	10	the	the	DET
bracis-28394	84	11	first	first	ADJ
bracis-28394	84	12	pareto	pareto	ADJ
bracis-28394	84	13	frontiers	frontier	NOUN
bracis-28394	84	14	with	with	ADP
bracis-28394	84	15	good	good	ADJ
bracis-28394	84	16	dispersion	dispersion	NOUN
bracis-28394	84	17	.	.	PUNCT
bracis-28394	85	1	we	we	PRON
bracis-28394	85	2	can	can	AUX
bracis-28394	85	3	find	find	VERB
bracis-28394	85	4	the	the	DET
bracis-28394	85	5	quality	quality	NOUN
bracis-28394	85	6	of	of	ADP
bracis-28394	85	7	the	the	DET
bracis-28394	85	8	pareto	pareto	ADJ
bracis-28394	85	9	frontier	frontier	NOUN
bracis-28394	85	10	using	use	VERB
bracis-28394	85	11	distance	distance	NOUN
bracis-28394	85	12	-	-	PUNCT
bracis-28394	85	13	based	base	VERB
bracis-28394	85	14	(	(	PUNCT
bracis-28394	85	15	requires	require	VERB
bracis-28394	85	16	the	the	DET
bracis-28394	85	17	true	true	ADJ
bracis-28394	85	18	pareto	pareto	ADJ
bracis-28394	85	19	frontier	frontier	NOUN
bracis-28394	85	20	)	)	PUNCT
bracis-28394	85	21	or	or	CCONJ
bracis-28394	85	22	volume	volume	NOUN
bracis-28394	85	23	-	-	PUNCT
bracis-28394	85	24	based	base	VERB
bracis-28394	85	25	(	(	PUNCT
bracis-28394	85	26	calculates	calculate	VERB
bracis-28394	85	27	the	the	DET
bracis-28394	85	28	volume	volume	NOUN
bracis-28394	85	29	from	from	ADP
bracis-28394	85	30	the	the	DET
bracis-28394	85	31	frontier	frontier	NOUN
bracis-28394	85	32	to	to	ADP
bracis-28394	85	33	a	a	DET
bracis-28394	85	34	point	point	NOUN
bracis-28394	85	35	)	)	PUNCT
bracis-28394	85	36	indicators	indicator	NOUN
bracis-28394	85	37	.	.	PUNCT
bracis-28394	86	1	hypervolume	hypervolume	NOUN
bracis-28394	86	2	is	be	AUX
bracis-28394	86	3	a	a	DET
bracis-28394	86	4	volume	volume	NOUN
bracis-28394	86	5	-	-	PUNCT
bracis-28394	86	6	based	base	VERB
bracis-28394	86	7	quality	quality	NOUN
bracis-28394	86	8	indicator	indicator	NOUN
bracis-28394	86	9	.	.	PUNCT
bracis-28394	87	1	for	for	ADP
bracis-28394	87	2	a	a	DET
bracis-28394	87	3	minimization	minimization	NOUN
bracis-28394	87	4	problem	problem	NOUN
bracis-28394	87	5	,	,	PUNCT
bracis-28394	87	6	it	it	PRON
bracis-28394	87	7	is	be	AUX
bracis-28394	87	8	the	the	DET
bracis-28394	87	9	region	region	NOUN
bracis-28394	87	10	bounded	bound	VERB
bracis-28394	87	11	by	by	ADP
bracis-28394	87	12	the	the	DET
bracis-28394	87	13	pareto	pareto	ADJ
bracis-28394	87	14	frontier	frontier	NOUN
bracis-28394	87	15	points	point	NOUN
bracis-28394	87	16	and	and	CCONJ
bracis-28394	87	17	by	by	ADP
bracis-28394	87	18	a	a	DET
bracis-28394	87	19	reference	reference	NOUN
bracis-28394	87	20	point	point	NOUN
bracis-28394	87	21	 	 	SPACE
bracis-28394	88	1	[	[	X
bracis-28394	88	2	6	6	NUM
bracis-28394	88	3	]	]	PUNCT
bracis-28394	88	4	.	.	PUNCT
bracis-28394	89	1	the	the	PRON
bracis-28394	89	2	larger	large	ADJ
bracis-28394	89	3	the	the	DET
bracis-28394	89	4	calculated	calculated	ADJ
bracis-28394	89	5	hypervolume	hypervolume	NOUN
bracis-28394	89	6	,	,	PUNCT
bracis-28394	89	7	the	the	PRON
bracis-28394	89	8	more	more	ADJ
bracis-28394	89	9	the	the	DET
bracis-28394	89	10	pareto	pareto	ADJ
bracis-28394	89	11	frontier	frontier	NOUN
bracis-28394	89	12	minimizes	minimize	VERB
bracis-28394	89	13	the	the	DET
bracis-28394	89	14	objectives	objective	NOUN
bracis-28394	89	15	of	of	ADP
bracis-28394	89	16	the	the	DET
bracis-28394	89	17	problem	problem	NOUN
bracis-28394	89	18	.	.	PUNCT
bracis-28394	90	1	2.3	2.3	NUM
bracis-28394	90	2	related	relate	VERB
bracis-28394	90	3	works	work	NOUN
bracis-28394	90	4	most	most	ADJ
bracis-28394	90	5	studies	study	NOUN
bracis-28394	90	6	covering	cover	VERB
bracis-28394	90	7	automl	automl	NOUN
bracis-28394	90	8	and	and	CCONJ
bracis-28394	90	9	mlc	mlc	PROPN
bracis-28394	90	10	explored	explore	VERB
bracis-28394	90	11	mono	mono	NOUN
bracis-28394	90	12	-	-	PUNCT
bracis-28394	90	13	objective	objective	ADJ
bracis-28394	90	14	optimization	optimization	NOUN
bracis-28394	90	15	instances	instance	NOUN
bracis-28394	90	16	.	.	PUNCT
bracis-28394	91	1	given	give	VERB
bracis-28394	91	2	a	a	DET
bracis-28394	91	3	search	search	NOUN
bracis-28394	91	4	space	space	NOUN
bracis-28394	91	5	composed	compose	VERB
bracis-28394	91	6	of	of	ADP
bracis-28394	91	7	single	single	ADJ
bracis-28394	91	8	-	-	PUNCT
bracis-28394	91	9	label	label	NOUN
bracis-28394	91	10	algorithms	algorithm	NOUN
bracis-28394	91	11	,	,	PUNCT
bracis-28394	91	12	multi	multi	ADJ
bracis-28394	91	13	-	-	ADJ
bracis-28394	91	14	label	label	ADJ
bracis-28394	91	15	algorithms	algorithm	NOUN
bracis-28394	91	16	,	,	PUNCT
bracis-28394	91	17	and	and	CCONJ
bracis-28394	91	18	hyperparameters	hyperparameter	VERB
bracis-28394	91	19	 	 	SPACE
bracis-28394	92	1	[	[	X
bracis-28394	92	2	12,13,14	12,13,14	NUM
bracis-28394	92	3	,	,	PUNCT
bracis-28394	92	4	18	18	NUM
bracis-28394	92	5	,	,	PUNCT
bracis-28394	92	6	19	19	NUM
bracis-28394	92	7	]	]	PUNCT
bracis-28394	92	8	,	,	PUNCT
bracis-28394	92	9	optimization	optimization	NOUN
bracis-28394	92	10	algorithms	algorithm	NOUN
bracis-28394	92	11	explore	explore	VERB
bracis-28394	92	12	the	the	DET
bracis-28394	92	13	search	search	NOUN
bracis-28394	92	14	space	space	NOUN
bracis-28394	92	15	and	and	CCONJ
bracis-28394	92	16	evaluate	evaluate	VERB
bracis-28394	92	17	the	the	DET
bracis-28394	92	18	candidate	candidate	NOUN
bracis-28394	92	19	multi	multi	ADJ
bracis-28394	92	20	-	-	ADJ
bracis-28394	92	21	label	label	ADJ
bracis-28394	92	22	classifiers	classifier	NOUN
bracis-28394	92	23	in	in	ADP
bracis-28394	92	24	search	search	NOUN
bracis-28394	92	25	of	of	ADP
bracis-28394	92	26	the	the	DET
bracis-28394	92	27	best	good	ADJ
bracis-28394	92	28	classifier	classifier	NOUN
bracis-28394	92	29	.	.	PUNCT
bracis-28394	93	1	the	the	DET
bracis-28394	93	2	studies	study	NOUN
bracis-28394	93	3	used	use	VERB
bracis-28394	93	4	different	different	ADJ
bracis-28394	93	5	evaluation	evaluation	NOUN
bracis-28394	93	6	criteria	criterion	NOUN
bracis-28394	93	7	to	to	PART
bracis-28394	93	8	evaluate	evaluate	VERB
bracis-28394	93	9	candidate	candidate	NOUN
bracis-28394	93	10	classifiers	classifier	NOUN
bracis-28394	93	11	during	during	ADP
bracis-28394	93	12	optimization	optimization	NOUN
bracis-28394	93	13	,	,	PUNCT
bracis-28394	93	14	aggregating	aggregate	VERB
bracis-28394	93	15	different	different	ADJ
bracis-28394	93	16	performance	performance	NOUN
bracis-28394	93	17	measures	measure	NOUN
bracis-28394	93	18	composing	compose	VERB
bracis-28394	93	19	a	a	DET
bracis-28394	93	20	single	single	ADJ
bracis-28394	93	21	evaluation	evaluation	NOUN
bracis-28394	93	22	criterion	criterion	NOUN
bracis-28394	93	23	or	or	CCONJ
bracis-28394	93	24	using	use	VERB
bracis-28394	93	25	one	one	NUM
bracis-28394	93	26	knowing	knowing	ADJ
bracis-28394	93	27	evaluation	evaluation	NOUN
bracis-28394	93	28	criteria	criterion	NOUN
bracis-28394	93	29	,	,	PUNCT
bracis-28394	93	30	such	such	ADJ
bracis-28394	93	31	as	as	ADP
bracis-28394	93	32	hamming	ham	VERB
bracis-28394	93	33	loss	loss	NOUN
bracis-28394	93	34	and	and	CCONJ
bracis-28394	93	35	f	f	NOUN
bracis-28394	93	36	-	-	PUNCT
bracis-28394	93	37	score	score	NOUN
bracis-28394	93	38	.	.	PUNCT
bracis-28394	94	1	while	while	SCONJ
bracis-28394	94	2	handling	handle	VERB
bracis-28394	94	3	automl	automl	NOUN
bracis-28394	94	4	for	for	ADP
bracis-28394	94	5	mlc	mlc	NOUN
bracis-28394	94	6	as	as	ADP
bracis-28394	94	7	a	a	DET
bracis-28394	94	8	mono	mono	NOUN
bracis-28394	94	9	-	-	PUNCT
bracis-28394	94	10	objective	objective	ADJ
bracis-28394	94	11	optimization	optimization	NOUN
bracis-28394	94	12	problem	problem	NOUN
bracis-28394	94	13	,	,	PUNCT
bracis-28394	94	14	the	the	DET
bracis-28394	94	15	related	related	ADJ
bracis-28394	94	16	studies	study	NOUN
bracis-28394	94	17	usually	usually	ADV
bracis-28394	94	18	propose	propose	VERB
bracis-28394	94	19	new	new	ADJ
bracis-28394	94	20	algorithms	algorithm	NOUN
bracis-28394	94	21	and	and	CCONJ
bracis-28394	94	22	compare	compare	VERB
bracis-28394	94	23	the	the	DET
bracis-28394	94	24	results	result	NOUN
bracis-28394	94	25	with	with	ADP
bracis-28394	94	26	other	other	ADJ
bracis-28394	94	27	optimizers	optimizer	NOUN
bracis-28394	94	28	already	already	ADV
bracis-28394	94	29	used	use	VERB
bracis-28394	94	30	for	for	ADP
bracis-28394	94	31	mlc	mlc	NOUN
bracis-28394	94	32	.	.	PUNCT
bracis-28394	95	1	in	in	ADP
bracis-28394	95	2	this	this	DET
bracis-28394	95	3	sense	sense	NOUN
bracis-28394	95	4	,	,	PUNCT
bracis-28394	95	5	de	de	PROPN
bracis-28394	95	6	sá	sá	PROPN
bracis-28394	95	7	et	et	PROPN
bracis-28394	95	8	al	al	PROPN
bracis-28394	95	9	.	.	PUNCT
bracis-28394	95	10	 	 	SPACE
bracis-28394	96	1	[	[	X
bracis-28394	96	2	13	13	NUM
bracis-28394	96	3	]	]	PUNCT
bracis-28394	96	4	used	use	VERB
bracis-28394	96	5	genetic	genetic	ADJ
bracis-28394	96	6	algorithms	algorithm	NOUN
bracis-28394	96	7	as	as	ADP
bracis-28394	96	8	the	the	DET
bracis-28394	96	9	optimization	optimization	NOUN
bracis-28394	96	10	algorithm	algorithm	NOUN
bracis-28394	96	11	,	,	PUNCT
bracis-28394	96	12	de	de	PROPN
bracis-28394	96	13	sá	sá	PROPN
bracis-28394	96	14	et	et	PROPN
bracis-28394	96	15	al	al	PROPN
bracis-28394	96	16	.	.	PUNCT
bracis-28394	96	17	 	 	SPACE
bracis-28394	97	1	[	[	X
bracis-28394	97	2	12	12	NUM
bracis-28394	97	3	]	]	PUNCT
bracis-28394	97	4	used	use	VERB
bracis-28394	97	5	grammar	grammar	NOUN
bracis-28394	97	6	-	-	PUNCT
bracis-28394	97	7	based	base	VERB
bracis-28394	97	8	genetic	genetic	ADJ
bracis-28394	97	9	programming	programming	NOUN
bracis-28394	97	10	,	,	PUNCT
bracis-28394	97	11	and	and	CCONJ
bracis-28394	97	12	de	de	X
bracis-28394	97	13	sá	sá	PROPN
bracis-28394	97	14	et	et	PROPN
bracis-28394	97	15	al	al	PROPN
bracis-28394	97	16	.	.	PUNCT
bracis-28394	97	17	 	 	SPACE
bracis-28394	98	1	[	[	X
bracis-28394	98	2	14	14	NUM
bracis-28394	98	3	]	]	PUNCT
bracis-28394	98	4	extended	extend	VERB
bracis-28394	98	5	their	their	PRON
bracis-28394	98	6	previous	previous	ADJ
bracis-28394	98	7	works	work	NOUN
bracis-28394	98	8	by	by	ADP
bracis-28394	98	9	also	also	ADV
bracis-28394	98	10	employing	employ	VERB
bracis-28394	98	11	bayesian	bayesian	NOUN
bracis-28394	98	12	optimization	optimization	NOUN
bracis-28394	98	13	as	as	ADP
bracis-28394	98	14	an	an	DET
bracis-28394	98	15	optimization	optimization	NOUN
bracis-28394	98	16	algorithm	algorithm	NOUN
bracis-28394	98	17	.	.	PUNCT
bracis-28394	99	1	other	other	ADJ
bracis-28394	99	2	authors	author	NOUN
bracis-28394	99	3	explored	explore	VERB
bracis-28394	99	4	the	the	DET
bracis-28394	99	5	search	search	NOUN
bracis-28394	99	6	space	space	NOUN
bracis-28394	99	7	with	with	ADP
bracis-28394	99	8	networks	network	NOUN
bracis-28394	99	9	of	of	ADP
bracis-28394	99	10	hierarchical	hierarchical	ADJ
bracis-28394	99	11	tasks	task	NOUN
bracis-28394	99	12	 	 	SPACE
bracis-28394	99	13	[	[	X
bracis-28394	99	14	19	19	NUM
bracis-28394	99	15	]	]	PUNCT
bracis-28394	99	16	,	,	PUNCT
bracis-28394	99	17	used	use	VERB
bracis-28394	99	18	hyperband	hyperband	PROPN
bracis-28394	99	19	optimization	optimization	NOUN
bracis-28394	99	20	,	,	PUNCT
bracis-28394	99	21	bayesian	bayesian	NOUN
bracis-28394	99	22	optimization	optimization	NOUN
bracis-28394	99	23	,	,	PUNCT
bracis-28394	99	24	and	and	CCONJ
bracis-28394	99	25	the	the	DET
bracis-28394	99	26	combination	combination	NOUN
bracis-28394	99	27	of	of	ADP
bracis-28394	99	28	bayesian	bayesian	NOUN
bracis-28394	99	29	optimization	optimization	NOUN
bracis-28394	99	30	and	and	CCONJ
bracis-28394	99	31	hyperband	hyperband	NOUN
bracis-28394	99	32	as	as	ADP
bracis-28394	99	33	optimization	optimization	NOUN
bracis-28394	99	34	algorithms	algorithm	NOUN
bracis-28394	99	35	 	 	SPACE
bracis-28394	100	1	[	[	X
bracis-28394	100	2	18	18	NUM
bracis-28394	100	3	]	]	PUNCT
bracis-28394	100	4	.	.	PUNCT
bracis-28394	101	1	the	the	DET
bracis-28394	101	2	works	work	NOUN
bracis-28394	101	3	focus	focus	VERB
bracis-28394	101	4	on	on	ADP
bracis-28394	101	5	automating	automate	VERB
bracis-28394	101	6	the	the	DET
bracis-28394	101	7	search	search	NOUN
bracis-28394	101	8	for	for	ADP
bracis-28394	101	9	ml	ml	NOUN
bracis-28394	101	10	models	model	NOUN
bracis-28394	101	11	.	.	PUNCT
bracis-28394	102	1	some	some	PRON
bracis-28394	102	2	suggest	suggest	VERB
bracis-28394	102	3	employing	employ	VERB
bracis-28394	102	4	automl	automl	NOUN
bracis-28394	102	5	in	in	ADP
bracis-28394	102	6	the	the	DET
bracis-28394	102	7	data	datum	NOUN
bracis-28394	102	8	pre	pre	ADJ
bracis-28394	102	9	-	-	ADJ
bracis-28394	102	10	processing	processing	ADJ
bracis-28394	102	11	and	and	CCONJ
bracis-28394	102	12	post	post	ADJ
bracis-28394	102	13	-	-	ADJ
bracis-28394	102	14	processing	processing	ADJ
bracis-28394	102	15	steps	step	NOUN
bracis-28394	102	16	 	 	SPACE
bracis-28394	103	1	[	[	X
bracis-28394	103	2	12	12	NUM
bracis-28394	103	3	,	,	PUNCT
bracis-28394	103	4	13	13	NUM
bracis-28394	103	5	]	]	PUNCT
bracis-28394	103	6	.	.	PUNCT
bracis-28394	104	1	all	all	DET
bracis-28394	104	2	works	work	NOUN
bracis-28394	104	3	employ	employ	VERB
bracis-28394	104	4	one	one	NUM
bracis-28394	104	5	evaluation	evaluation	NOUN
bracis-28394	104	6	criterion	criterion	NOUN
bracis-28394	104	7	in	in	ADP
bracis-28394	104	8	the	the	DET
bracis-28394	104	9	optimization	optimization	NOUN
bracis-28394	104	10	process	process	NOUN
bracis-28394	104	11	.	.	PUNCT
bracis-28394	105	1	there	there	PRON
bracis-28394	105	2	are	be	VERB
bracis-28394	105	3	suggestions	suggestion	NOUN
bracis-28394	105	4	to	to	PART
bracis-28394	105	5	study	study	VERB
bracis-28394	105	6	the	the	DET
bracis-28394	105	7	evaluation	evaluation	NOUN
bracis-28394	105	8	criteria	criterion	NOUN
bracis-28394	105	9	in	in	ADP
bracis-28394	105	10	the	the	DET
bracis-28394	105	11	application	application	NOUN
bracis-28394	105	12	domain	domain	NOUN
bracis-28394	105	13	to	to	PART
bracis-28394	105	14	use	use	VERB
bracis-28394	105	15	the	the	DET
bracis-28394	105	16	most	most	ADV
bracis-28394	105	17	appropriate	appropriate	ADJ
bracis-28394	105	18	ones	one	NOUN
bracis-28394	105	19	 	 	SPACE
bracis-28394	105	20	[	[	X
bracis-28394	105	21	14	14	NUM
bracis-28394	105	22	]	]	PUNCT
bracis-28394	105	23	and	and	CCONJ
bracis-28394	105	24	employ	employ	VERB
bracis-28394	105	25	multi	multi	ADJ
bracis-28394	105	26	-	-	ADJ
bracis-28394	105	27	objective	objective	ADJ
bracis-28394	105	28	optimization	optimization	NOUN
bracis-28394	105	29	to	to	PART
bracis-28394	105	30	improve	improve	VERB
bracis-28394	105	31	the	the	DET
bracis-28394	105	32	generalization	generalization	NOUN
bracis-28394	105	33	of	of	ADP
bracis-28394	105	34	the	the	DET
bracis-28394	105	35	models	model	NOUN
bracis-28394	105	36	 	 	SPACE
bracis-28394	106	1	[	[	X
bracis-28394	106	2	19	19	NUM
bracis-28394	106	3	]	]	PUNCT
bracis-28394	106	4	.	.	PUNCT
bracis-28394	107	1	the	the	DET
bracis-28394	107	2	authors	author	NOUN
bracis-28394	107	3	cite	cite	VERB
bracis-28394	107	4	the	the	DET
bracis-28394	107	5	need	need	NOUN
bracis-28394	107	6	to	to	PART
bracis-28394	107	7	improve	improve	VERB
bracis-28394	107	8	the	the	DET
bracis-28394	107	9	search	search	NOUN
bracis-28394	107	10	space	space	NOUN
bracis-28394	107	11	 	 	SPACE
bracis-28394	108	1	[	[	X
bracis-28394	108	2	13	13	NUM
bracis-28394	108	3	,	,	PUNCT
bracis-28394	108	4	18	18	NUM
bracis-28394	108	5	]	]	PUNCT
bracis-28394	108	6	using	use	VERB
bracis-28394	108	7	meta	meta	ADJ
bracis-28394	108	8	learning	learning	NOUN
bracis-28394	108	9	,	,	PUNCT
bracis-28394	108	10	for	for	ADP
bracis-28394	108	11	example	example	NOUN
bracis-28394	108	12	 	 	SPACE
bracis-28394	109	1	[	[	X
bracis-28394	109	2	18	18	NUM
bracis-28394	109	3	]	]	PUNCT
bracis-28394	109	4	.	.	PUNCT
bracis-28394	109	5	3	3	NUM
bracis-28394	109	6	experimental	experimental	ADJ
bracis-28394	109	7	methodology	methodology	NOUN
bracis-28394	109	8	3.1	3.1	NUM
bracis-28394	109	9	datasets	dataset	NOUN
bracis-28394	109	10	we	we	PRON
bracis-28394	109	11	evaluated	evaluate	VERB
bracis-28394	109	12	autommlc	autommlc	NOUN
bracis-28394	109	13	in	in	ADP
bracis-28394	109	14	ten	ten	NUM
bracis-28394	109	15	multi	multi	ADJ
bracis-28394	109	16	-	-	ADJ
bracis-28394	109	17	label	label	ADJ
bracis-28394	109	18	datasets	dataset	NOUN
bracis-28394	109	19	traditionally	traditionally	ADV
bracis-28394	109	20	used	use	VERB
bracis-28394	109	21	in	in	ADP
bracis-28394	109	22	studies	study	NOUN
bracis-28394	109	23	on	on	ADP
bracis-28394	109	24	mlc	mlc	PROPN
bracis-28394	109	25	 	 	SPACE
bracis-28394	110	1	[	[	X
bracis-28394	110	2	9	9	NUM
bracis-28394	110	3	,	,	PUNCT
bracis-28394	110	4	18	18	NUM
bracis-28394	110	5	]	]	PUNCT
bracis-28394	110	6	from	from	ADP
bracis-28394	110	7	different	different	ADJ
bracis-28394	110	8	application	application	NOUN
bracis-28394	110	9	domains	domain	NOUN
bracis-28394	110	10	:	:	PUNCT
bracis-28394	110	11	biology	biology	NOUN
bracis-28394	110	12	,	,	PUNCT
bracis-28394	110	13	multimedia	multimedia	NOUN
bracis-28394	110	14	(	(	PUNCT
bracis-28394	110	15	audio	audio	NOUN
bracis-28394	110	16	and	and	CCONJ
bracis-28394	110	17	music	music	NOUN
bracis-28394	110	18	)	)	PUNCT
bracis-28394	110	19	,	,	PUNCT
bracis-28394	110	20	and	and	CCONJ
bracis-28394	110	21	text	text	NOUN
bracis-28394	110	22	.	.	PUNCT
bracis-28394	111	1	table	table	NOUN
bracis-28394	111	2	 	 	SPACE
bracis-28394	111	3	1	1	NUM
bracis-28394	111	4	presents	present	VERB
bracis-28394	111	5	the	the	DET
bracis-28394	111	6	main	main	ADJ
bracis-28394	111	7	characteristics	characteristic	NOUN
bracis-28394	111	8	of	of	ADP
bracis-28394	111	9	the	the	DET
bracis-28394	111	10	datasets	dataset	NOUN
bracis-28394	111	11	used	use	VERB
bracis-28394	111	12	.	.	PUNCT
bracis-28394	112	1	the	the	DET
bracis-28394	112	2	number	number	NOUN
bracis-28394	112	3	of	of	ADP
bracis-28394	112	4	instances	instance	NOUN
bracis-28394	112	5	in	in	ADP
bracis-28394	112	6	the	the	DET
bracis-28394	112	7	collection	collection	NOUN
bracis-28394	112	8	ranges	range	VERB
bracis-28394	112	9	from	from	ADP
bracis-28394	112	10	[	[	X
bracis-28394	112	11	194	194	NUM
bracis-28394	112	12	,	,	PUNCT
bracis-28394	112	13	7.395	7.395	NUM
bracis-28394	112	14	]	]	PUNCT
bracis-28394	112	15	,	,	PUNCT
bracis-28394	112	16	the	the	DET
bracis-28394	112	17	number	number	NOUN
bracis-28394	112	18	of	of	ADP
bracis-28394	112	19	features	feature	NOUN
bracis-28394	112	20	ranges	range	VERB
bracis-28394	112	21	from	from	ADP
bracis-28394	112	22	[	[	X
bracis-28394	112	23	19	19	NUM
bracis-28394	112	24	,	,	PUNCT
bracis-28394	112	25	 	 	SPACE
bracis-28394	112	26	1.836	1.836	NUM
bracis-28394	112	27	]	]	PUNCT
bracis-28394	112	28	,	,	PUNCT
bracis-28394	112	29	and	and	CCONJ
bracis-28394	112	30	the	the	DET
bracis-28394	112	31	number	number	NOUN
bracis-28394	112	32	of	of	ADP
bracis-28394	112	33	labels	label	NOUN
bracis-28394	112	34	from	from	ADP
bracis-28394	112	35	[	[	X
bracis-28394	112	36	6	6	NUM
bracis-28394	112	37	,	,	PUNCT
bracis-28394	112	38	 	 	SPACE
bracis-28394	112	39	374	374	NUM
bracis-28394	112	40	]	]	PUNCT
bracis-28394	112	41	.	.	PUNCT
bracis-28394	113	1	all	all	DET
bracis-28394	113	2	these	these	DET
bracis-28394	113	3	datasets	dataset	NOUN
bracis-28394	113	4	were	be	AUX
bracis-28394	113	5	available	available	ADJ
bracis-28394	113	6	for	for	ADP
bracis-28394	113	7	download	download	NOUN
bracis-28394	113	8	from	from	ADP
bracis-28394	113	9	the	the	DET
bracis-28394	113	10	mulan	mulan	NOUN
bracis-28394	113	11	websitefootnote	websitefootnote	VERB
bracis-28394	113	12	1	1	NUM
bracis-28394	113	13	.	.	PUNCT
bracis-28394	113	14	table	table	NOUN
bracis-28394	113	15	1	1	NUM
bracis-28394	113	16	.	.	PUNCT
bracis-28394	114	1	mlc	mlc	NOUN
bracis-28394	114	2	datasets	dataset	NOUN
bracis-28394	114	3	used	use	VERB
bracis-28394	114	4	in	in	ADP
bracis-28394	114	5	experiments	experiment	NOUN
bracis-28394	114	6	.	.	PUNCT
bracis-28394	115	1	for	for	ADP
bracis-28394	115	2	each	each	DET
bracis-28394	115	3	dataset	dataset	NOUN
bracis-28394	115	4	,	,	PUNCT
bracis-28394	115	5	it	it	PRON
bracis-28394	115	6	is	be	AUX
bracis-28394	115	7	presented	present	VERB
bracis-28394	115	8	:	:	PUNCT
bracis-28394	115	9	its	its	PRON
bracis-28394	115	10	domain	domain	NOUN
bracis-28394	115	11	,	,	PUNCT
bracis-28394	115	12	number	number	NOUN
bracis-28394	115	13	of	of	ADP
bracis-28394	115	14	instances	instance	NOUN
bracis-28394	115	15	(	(	PUNCT
bracis-28394	115	16	#	#	NOUN
bracis-28394	115	17	i	i	NOUN
bracis-28394	115	18	)	)	PUNCT
bracis-28394	115	19	,	,	PUNCT
bracis-28394	115	20	number	number	NOUN
bracis-28394	115	21	of	of	ADP
bracis-28394	115	22	features	feature	NOUN
bracis-28394	115	23	(	(	PUNCT
bracis-28394	115	24	#	#	NOUN
bracis-28394	115	25	f	f	NOUN
bracis-28394	115	26	)	)	PUNCT
bracis-28394	115	27	,	,	PUNCT
bracis-28394	115	28	and	and	CCONJ
bracis-28394	115	29	number	number	NOUN
bracis-28394	115	30	of	of	ADP
bracis-28394	115	31	labels	label	NOUN
bracis-28394	115	32	(	(	PUNCT
bracis-28394	115	33	#	#	NOUN
bracis-28394	115	34	l	l	NOUN
bracis-28394	115	35	)	)	PUNCT
bracis-28394	115	36	these	these	DET
bracis-28394	115	37	statistics	statistic	NOUN
bracis-28394	115	38	values	value	NOUN
bracis-28394	115	39	are	be	AUX
bracis-28394	115	40	shown	show	VERB
bracis-28394	115	41	before	before	ADP
bracis-28394	115	42	and	and	CCONJ
bracis-28394	115	43	after	after	ADP
bracis-28394	115	44	the	the	DET
bracis-28394	115	45	preprocessing.full	preprocessing.full	ADJ
bracis-28394	115	46	size	size	NOUN
bracis-28394	115	47	table	table	NOUN
bracis-28394	115	48	3.2	3.2	NUM
bracis-28394	115	49	preprocessing	preprocesse	VERB
bracis-28394	115	50	all	all	DET
bracis-28394	115	51	datasets	dataset	NOUN
bracis-28394	115	52	were	be	AUX
bracis-28394	115	53	split	split	VERB
bracis-28394	115	54	using	use	VERB
bracis-28394	115	55	a	a	DET
bracis-28394	115	56	10	10	NUM
bracis-28394	115	57	-	-	ADJ
bracis-28394	115	58	fold	fold	ADJ
bracis-28394	115	59	cross	cross	ADJ
bracis-28394	115	60	-	-	ADJ
bracis-28394	115	61	validation	validation	ADJ
bracis-28394	115	62	resampling	resampling	NOUN
bracis-28394	115	63	strategy	strategy	NOUN
bracis-28394	115	64	.	.	PUNCT
bracis-28394	116	1	to	to	PART
bracis-28394	116	2	ensure	ensure	VERB
bracis-28394	116	3	the	the	DET
bracis-28394	116	4	same	same	ADJ
bracis-28394	116	5	proportion	proportion	NOUN
bracis-28394	116	6	of	of	ADP
bracis-28394	116	7	instances	instance	NOUN
bracis-28394	116	8	of	of	ADP
bracis-28394	116	9	each	each	DET
bracis-28394	116	10	class	class	NOUN
bracis-28394	116	11	in	in	ADP
bracis-28394	116	12	the	the	DET
bracis-28394	116	13	folds	fold	NOUN
bracis-28394	116	14	,	,	PUNCT
bracis-28394	116	15	we	we	PRON
bracis-28394	116	16	used	use	VERB
bracis-28394	116	17	the	the	DET
bracis-28394	116	18	iterative	iterative	NOUN
bracis-28394	116	19	stratification	stratification	NOUN
bracis-28394	116	20	strategy	strategy	NOUN
bracis-28394	116	21	 	 	SPACE
bracis-28394	117	1	[	[	X
bracis-28394	117	2	15	15	NUM
bracis-28394	117	3	]	]	PUNCT
bracis-28394	117	4	.	.	PUNCT
bracis-28394	118	1	it	it	PRON
bracis-28394	118	2	was	be	AUX
bracis-28394	118	3	coded	code	VERB
bracis-28394	118	4	using	use	VERB
bracis-28394	118	5	the	the	DET
bracis-28394	118	6	scikit	scikit	NOUN
bracis-28394	118	7	-	-	PUNCT
bracis-28394	118	8	multilearn	multilearn	NOUN
bracis-28394	118	9	library	library	NOUN
bracis-28394	118	10	 	 	SPACE
bracis-28394	119	1	[	[	X
bracis-28394	119	2	16	16	NUM
bracis-28394	119	3	]	]	PUNCT
bracis-28394	119	4	.	.	PUNCT
bracis-28394	120	1	even	even	ADV
bracis-28394	120	2	after	after	ADP
bracis-28394	120	3	applying	apply	VERB
bracis-28394	120	4	the	the	DET
bracis-28394	120	5	iterative	iterative	NOUN
bracis-28394	120	6	stratification	stratification	NOUN
bracis-28394	120	7	,	,	PUNCT
bracis-28394	120	8	some	some	DET
bracis-28394	120	9	folds	fold	NOUN
bracis-28394	120	10	ended	end	VERB
bracis-28394	120	11	without	without	ADP
bracis-28394	120	12	positive	positive	ADJ
bracis-28394	120	13	instances	instance	NOUN
bracis-28394	120	14	for	for	ADP
bracis-28394	120	15	some	some	DET
bracis-28394	120	16	classes	class	NOUN
bracis-28394	120	17	happened	happen	VERB
bracis-28394	120	18	because	because	SCONJ
bracis-28394	120	19	some	some	DET
bracis-28394	120	20	datasets	dataset	NOUN
bracis-28394	120	21	originally	originally	ADV
bracis-28394	120	22	had	have	VERB
bracis-28394	120	23	very	very	ADV
bracis-28394	120	24	few	few	ADJ
bracis-28394	120	25	positive	positive	ADJ
bracis-28394	120	26	instances	instance	NOUN
bracis-28394	120	27	for	for	ADP
bracis-28394	120	28	the	the	DET
bracis-28394	120	29	same	same	ADJ
bracis-28394	120	30	labels	label	NOUN
bracis-28394	120	31	.	.	PUNCT
bracis-28394	121	1	thus	thus	ADV
bracis-28394	121	2	,	,	PUNCT
bracis-28394	121	3	before	before	ADP
bracis-28394	121	4	the	the	DET
bracis-28394	121	5	iterative	iterative	NOUN
bracis-28394	121	6	stratification	stratification	NOUN
bracis-28394	121	7	,	,	PUNCT
bracis-28394	121	8	we	we	PRON
bracis-28394	121	9	also	also	ADV
bracis-28394	121	10	preprocessed	preprocesse	VERB
bracis-28394	121	11	the	the	DET
bracis-28394	121	12	datasets	dataset	NOUN
bracis-28394	121	13	.	.	PUNCT
bracis-28394	122	1	the	the	DET
bracis-28394	122	2	data	data	NOUN
bracis-28394	122	3	preprocessing	preprocessing	NOUN
bracis-28394	122	4	step	step	NOUN
bracis-28394	122	5	included	include	VERB
bracis-28394	122	6	data	datum	NOUN
bracis-28394	122	7	organization	organization	NOUN
bracis-28394	122	8	,	,	PUNCT
bracis-28394	122	9	cleaning	cleaning	NOUN
bracis-28394	122	10	,	,	PUNCT
bracis-28394	122	11	and	and	CCONJ
bracis-28394	122	12	data	datum	NOUN
bracis-28394	122	13	transformation	transformation	NOUN
bracis-28394	122	14	.	.	PUNCT
bracis-28394	123	1	none	none	NOUN
bracis-28394	123	2	of	of	ADP
bracis-28394	123	3	the	the	DET
bracis-28394	123	4	selected	select	VERB
bracis-28394	123	5	datasets	dataset	NOUN
bracis-28394	123	6	had	have	VERB
bracis-28394	123	7	missing	miss	VERB
bracis-28394	123	8	values	value	NOUN
bracis-28394	123	9	.	.	PUNCT
bracis-28394	124	1	so	so	ADV
bracis-28394	124	2	,	,	PUNCT
bracis-28394	124	3	in	in	ADP
bracis-28394	124	4	the	the	DET
bracis-28394	124	5	preprocessing	preprocessing	NOUN
bracis-28394	124	6	step	step	NOUN
bracis-28394	124	7	,	,	PUNCT
bracis-28394	124	8	we	we	PRON
bracis-28394	124	9	treated	treat	VERB
bracis-28394	124	10	the	the	DET
bracis-28394	124	11	following	follow	VERB
bracis-28394	124	12	situations	situation	NOUN
bracis-28394	124	13	:	:	PUNCT
bracis-28394	124	14	duplicated	duplicate	VERB
bracis-28394	124	15	data	datum	NOUN
bracis-28394	124	16	:	:	PUNCT
bracis-28394	124	17	we	we	PRON
bracis-28394	124	18	removed	remove	VERB
bracis-28394	124	19	instances	instance	NOUN
bracis-28394	124	20	with	with	ADP
bracis-28394	124	21	duplicated	duplicate	VERB
bracis-28394	124	22	values	value	NOUN
bracis-28394	124	23	;	;	PUNCT
bracis-28394	124	24	and	and	CCONJ
bracis-28394	124	25	labels	label	NOUN
bracis-28394	124	26	associated	associate	VERB
bracis-28394	124	27	with	with	ADP
bracis-28394	124	28	few	few	ADJ
bracis-28394	124	29	instances	instance	NOUN
bracis-28394	124	30	:	:	PUNCT
bracis-28394	124	31	we	we	PRON
bracis-28394	124	32	also	also	ADV
bracis-28394	124	33	removed	remove	VERB
bracis-28394	124	34	labels	label	NOUN
bracis-28394	124	35	with	with	ADP
bracis-28394	124	36	ten	ten	NUM
bracis-28394	124	37	or	or	CCONJ
bracis-28394	124	38	fewer	few	ADJ
bracis-28394	124	39	positive	positive	ADJ
bracis-28394	124	40	instances	instance	NOUN
bracis-28394	124	41	.	.	PUNCT
bracis-28394	125	1	with	with	ADP
bracis-28394	125	2	this	this	PRON
bracis-28394	125	3	,	,	PUNCT
bracis-28394	125	4	we	we	PRON
bracis-28394	125	5	also	also	ADV
bracis-28394	125	6	excluded	exclude	VERB
bracis-28394	125	7	unlabeled	unlabeled	ADJ
bracis-28394	125	8	instances	instance	NOUN
bracis-28394	125	9	.	.	PUNCT
bracis-28394	126	1	in	in	ADP
bracis-28394	126	2	the	the	DET
bracis-28394	126	3	data	data	NOUN
bracis-28394	126	4	transformation	transformation	NOUN
bracis-28394	126	5	step	step	NOUN
bracis-28394	126	6	,	,	PUNCT
bracis-28394	126	7	we	we	PRON
bracis-28394	126	8	applied	apply	VERB
bracis-28394	126	9	min	min	ADJ
bracis-28394	126	10	-	-	ADJ
bracis-28394	126	11	max	max	NOUN
bracis-28394	126	12	normalization	normalization	NOUN
bracis-28394	126	13	on	on	ADP
bracis-28394	126	14	all	all	DET
bracis-28394	126	15	datasets	dataset	NOUN
bracis-28394	126	16	to	to	PART
bracis-28394	126	17	prevent	prevent	VERB
bracis-28394	126	18	different	different	ADJ
bracis-28394	126	19	features	feature	NOUN
bracis-28394	126	20	from	from	ADP
bracis-28394	126	21	having	have	VERB
bracis-28394	126	22	outliers	outlier	NOUN
bracis-28394	126	23	or	or	CCONJ
bracis-28394	126	24	features	feature	NOUN
bracis-28394	126	25	prevailing	prevail	VERB
bracis-28394	126	26	over	over	ADP
bracis-28394	126	27	others	other	NOUN
bracis-28394	126	28	.	.	PUNCT
bracis-28394	127	1	the	the	DET
bracis-28394	127	2	three	three	NUM
bracis-28394	127	3	right	right	ADV
bracis-28394	127	4	-	-	PUNCT
bracis-28394	127	5	most	most	ADJ
bracis-28394	127	6	columns	column	NOUN
bracis-28394	127	7	of	of	ADP
bracis-28394	127	8	table	table	NOUN
bracis-28394	127	9	 	 	SPACE
bracis-28394	127	10	1	1	NUM
bracis-28394	127	11	show	show	VERB
bracis-28394	127	12	the	the	DET
bracis-28394	127	13	main	main	ADJ
bracis-28394	127	14	statistics	statistic	NOUN
bracis-28394	127	15	of	of	ADP
bracis-28394	127	16	the	the	DET
bracis-28394	127	17	datasets	dataset	NOUN
bracis-28394	127	18	after	after	ADP
bracis-28394	127	19	the	the	DET
bracis-28394	127	20	preprocessing	preprocessing	NOUN
bracis-28394	127	21	.	.	PUNCT
bracis-28394	128	1	one	one	PRON
bracis-28394	128	2	may	may	AUX
bracis-28394	128	3	note	note	VERB
bracis-28394	128	4	a	a	DET
bracis-28394	128	5	change	change	NOUN
bracis-28394	128	6	in	in	ADP
bracis-28394	128	7	the	the	DET
bracis-28394	128	8	number	number	NOUN
bracis-28394	128	9	of	of	ADP
bracis-28394	128	10	labels	label	NOUN
bracis-28394	128	11	in	in	ADP
bracis-28394	128	12	some	some	DET
bracis-28394	128	13	datasets	dataset	NOUN
bracis-28394	128	14	:	:	PUNCT
bracis-28394	128	15	birds	bird	NOUN
bracis-28394	128	16	,	,	PUNCT
bracis-28394	128	17	corel5k	corel5k	PROPN
bracis-28394	128	18	,	,	PUNCT
bracis-28394	128	19	enron	enron	PROPN
bracis-28394	128	20	,	,	PUNCT
bracis-28394	128	21	genbase	genbase	NOUN
bracis-28394	128	22	,	,	PUNCT
bracis-28394	128	23	and	and	CCONJ
bracis-28394	128	24	medical	medical	ADJ
bracis-28394	128	25	.	.	PUNCT
bracis-28394	129	1	in	in	ADP
bracis-28394	129	2	these	these	DET
bracis-28394	129	3	datasets	dataset	NOUN
bracis-28394	129	4	,	,	PUNCT
bracis-28394	129	5	the	the	DET
bracis-28394	129	6	preprocessing	preprocessing	NOUN
bracis-28394	129	7	also	also	ADV
bracis-28394	129	8	decreased	decrease	VERB
bracis-28394	129	9	the	the	DET
bracis-28394	129	10	available	available	ADJ
bracis-28394	129	11	number	number	NOUN
bracis-28394	129	12	of	of	ADP
bracis-28394	129	13	instances	instance	NOUN
bracis-28394	129	14	.	.	PUNCT
bracis-28394	130	1	once	once	SCONJ
bracis-28394	130	2	the	the	DET
bracis-28394	130	3	preprocessing	preprocessing	NOUN
bracis-28394	130	4	was	be	AUX
bracis-28394	130	5	finished	finish	VERB
bracis-28394	130	6	,	,	PUNCT
bracis-28394	130	7	we	we	PRON
bracis-28394	130	8	generated	generate	VERB
bracis-28394	130	9	the	the	DET
bracis-28394	130	10	resampling	resample	VERB
bracis-28394	130	11	10	10	NUM
bracis-28394	130	12	-	-	NOUN
bracis-28394	130	13	fold	fold	VERB
bracis-28394	130	14	through	through	ADP
bracis-28394	130	15	iterative	iterative	NOUN
bracis-28394	130	16	stratification	stratification	NOUN
bracis-28394	130	17	,	,	PUNCT
bracis-28394	130	18	as	as	SCONJ
bracis-28394	130	19	mentioned	mention	VERB
bracis-28394	130	20	before	before	ADV
bracis-28394	130	21	.	.	PUNCT
bracis-28394	131	1	the	the	DET
bracis-28394	131	2	datasets	dataset	NOUN
bracis-28394	131	3	and	and	CCONJ
bracis-28394	131	4	codes	code	NOUN
bracis-28394	131	5	used	use	VERB
bracis-28394	131	6	in	in	ADP
bracis-28394	131	7	this	this	DET
bracis-28394	131	8	work	work	NOUN
bracis-28394	131	9	are	be	AUX
bracis-28394	131	10	freely	freely	ADV
bracis-28394	131	11	availablefootnote	availablefootnote	ADJ
bracis-28394	131	12	2	2	NUM
bracis-28394	131	13	.	.	NOUN
bracis-28394	131	14	3.3	3.3	NUM
bracis-28394	131	15	search	search	NOUN
bracis-28394	131	16	space	space	NOUN
bracis-28394	131	17	during	during	ADP
bracis-28394	131	18	its	its	PRON
bracis-28394	131	19	execution	execution	NOUN
bracis-28394	131	20	,	,	PUNCT
bracis-28394	131	21	our	our	PRON
bracis-28394	131	22	autommlc	autommlc	NOUN
bracis-28394	131	23	assesses	assess	VERB
bracis-28394	131	24	different	different	ADJ
bracis-28394	131	25	ml	ml	NOUN
bracis-28394	131	26	models	model	NOUN
bracis-28394	131	27	to	to	PART
bracis-28394	131	28	find	find	VERB
bracis-28394	131	29	the	the	DET
bracis-28394	131	30	best	good	ADJ
bracis-28394	131	31	model	model	NOUN
bracis-28394	131	32	.	.	PUNCT
bracis-28394	132	1	the	the	DET
bracis-28394	132	2	search	search	NOUN
bracis-28394	132	3	space	space	NOUN
bracis-28394	132	4	definition	definition	NOUN
bracis-28394	132	5	is	be	AUX
bracis-28394	132	6	essential	essential	ADJ
bracis-28394	132	7	in	in	ADP
bracis-28394	132	8	this	this	DET
bracis-28394	132	9	process	process	NOUN
bracis-28394	132	10	,	,	PUNCT
bracis-28394	132	11	as	as	SCONJ
bracis-28394	132	12	it	it	PRON
bracis-28394	132	13	defines	define	VERB
bracis-28394	132	14	the	the	DET
bracis-28394	132	15	possible	possible	ADJ
bracis-28394	132	16	ml	ml	NOUN
bracis-28394	132	17	algorithms	algorithm	NOUN
bracis-28394	132	18	(	(	PUNCT
bracis-28394	132	19	or	or	CCONJ
bracis-28394	132	20	neural	neural	ADJ
bracis-28394	132	21	architectures	architecture	NOUN
bracis-28394	132	22	)	)	PUNCT
bracis-28394	132	23	and	and	CCONJ
bracis-28394	132	24	hyperparameters	hyperparameter	VERB
bracis-28394	132	25	values	value	NOUN
bracis-28394	132	26	for	for	ADP
bracis-28394	132	27	inducing	induce	VERB
bracis-28394	132	28	models	model	NOUN
bracis-28394	132	29	.	.	PUNCT
bracis-28394	133	1	figure	figure	NOUN
bracis-28394	133	2	 	 	SPACE
bracis-28394	133	3	1	1	NUM
bracis-28394	133	4	presents	present	VERB
bracis-28394	133	5	the	the	DET
bracis-28394	133	6	search	search	NOUN
bracis-28394	133	7	space	space	NOUN
bracis-28394	133	8	of	of	ADP
bracis-28394	133	9	autommlc	autommlc	NOUN
bracis-28394	133	10	,	,	PUNCT
bracis-28394	133	11	composed	compose	VERB
bracis-28394	133	12	of	of	ADP
bracis-28394	133	13	11	11	NUM
bracis-28394	133	14	slc	slc	PROPN
bracis-28394	133	15	algorithms	algorithm	NOUN
bracis-28394	133	16	and	and	CCONJ
bracis-28394	133	17	10	10	NUM
bracis-28394	133	18	mlc	mlc	NOUN
bracis-28394	133	19	algorithms	algorithm	NOUN
bracis-28394	133	20	of	of	ADP
bracis-28394	133	21	the	the	DET
bracis-28394	133	22	scikit	scikit	NOUN
bracis-28394	133	23	-	-	PUNCT
bracis-28394	133	24	learn	learn	VERB
bracis-28394	133	25	 	 	SPACE
bracis-28394	134	1	[	[	X
bracis-28394	134	2	10	10	NUM
bracis-28394	134	3	]	]	PUNCT
bracis-28394	134	4	and	and	CCONJ
bracis-28394	134	5	scikit	scikit	NOUN
bracis-28394	134	6	-	-	PUNCT
bracis-28394	134	7	multilearn	multilearn	NOUN
bracis-28394	134	8	libraries	library	NOUN
bracis-28394	134	9	 	 	SPACE
bracis-28394	135	1	[	[	X
bracis-28394	135	2	16	16	NUM
bracis-28394	135	3	]	]	PUNCT
bracis-28394	135	4	.	.	PUNCT
bracis-28394	136	1	the	the	DET
bracis-28394	136	2	slc	slc	PROPN
bracis-28394	136	3	algorithms	algorithm	NOUN
bracis-28394	136	4	included	include	VERB
bracis-28394	136	5	in	in	ADP
bracis-28394	136	6	the	the	DET
bracis-28394	136	7	search	search	NOUN
bracis-28394	136	8	space	space	NOUN
bracis-28394	136	9	are	be	AUX
bracis-28394	136	10	k	k	ADJ
bracis-28394	136	11	-	-	PUNCT
bracis-28394	136	12	nearest	near	ADJ
bracis-28394	136	13	neighbors	neighbor	NOUN
bracis-28394	136	14	(	(	PUNCT
bracis-28394	136	15	knn	knn	PROPN
bracis-28394	136	16	)	)	PUNCT
bracis-28394	136	17	,	,	PUNCT
bracis-28394	136	18	support	support	NOUN
bracis-28394	136	19	vector	vector	NOUN
bracis-28394	136	20	machine	machine	NOUN
bracis-28394	136	21	(	(	PUNCT
bracis-28394	136	22	svm	svm	PROPN
bracis-28394	136	23	)	)	PUNCT
bracis-28394	136	24	,	,	PUNCT
bracis-28394	137	1	adaboost	adaboost	ADV
bracis-28394	137	2	,	,	PUNCT
bracis-28394	137	3	bernoulli	bernoulli	PROPN
bracis-28394	137	4	naïve	naïve	ADJ
bracis-28394	137	5	bayes	bayes	PROPN
bracis-28394	137	6	(	(	PUNCT
bracis-28394	137	7	bnb	bnb	NOUN
bracis-28394	137	8	)	)	PUNCT
bracis-28394	137	9	,	,	PUNCT
bracis-28394	137	10	decision	decision	NOUN
bracis-28394	137	11	tree	tree	NOUN
bracis-28394	137	12	(	(	PUNCT
bracis-28394	137	13	dt	dt	PROPN
bracis-28394	137	14	)	)	PUNCT
bracis-28394	137	15	,	,	PUNCT
bracis-28394	137	16	extra	extra	ADJ
bracis-28394	137	17	tree	tree	NOUN
bracis-28394	137	18	(	(	PUNCT
bracis-28394	137	19	et	et	NOUN
bracis-28394	137	20	)	)	PUNCT
bracis-28394	137	21	,	,	PUNCT
bracis-28394	137	22	gradient	gradient	NOUN
bracis-28394	137	23	boosting	boosting	NOUN
bracis-28394	137	24	(	(	PUNCT
bracis-28394	137	25	gb	gb	NOUN
bracis-28394	137	26	)	)	PUNCT
bracis-28394	137	27	,	,	PUNCT
bracis-28394	137	28	logistic	logistic	ADJ
bracis-28394	137	29	regression	regression	NOUN
bracis-28394	137	30	(	(	PUNCT
bracis-28394	137	31	lr	lr	NOUN
bracis-28394	137	32	)	)	PUNCT
bracis-28394	137	33	,	,	PUNCT
bracis-28394	137	34	multinomial	multinomial	ADJ
bracis-28394	137	35	naïve	naïve	ADJ
bracis-28394	137	36	bayes	bayes	PROPN
bracis-28394	137	37	(	(	PUNCT
bracis-28394	137	38	mnb	mnb	PROPN
bracis-28394	137	39	)	)	PUNCT
bracis-28394	137	40	,	,	PUNCT
bracis-28394	137	41	random	random	ADJ
bracis-28394	137	42	forest	forest	NOUN
bracis-28394	137	43	(	(	PUNCT
bracis-28394	137	44	rf	rf	NOUN
bracis-28394	137	45	)	)	PUNCT
bracis-28394	137	46	,	,	PUNCT
bracis-28394	137	47	multi	multi	ADJ
bracis-28394	137	48	-	-	ADJ
bracis-28394	137	49	layer	layer	ADJ
bracis-28394	137	50	perceptron	perceptron	NOUN
bracis-28394	137	51	(	(	PUNCT
bracis-28394	137	52	mlp	mlp	PROPN
bracis-28394	137	53	)	)	PUNCT
bracis-28394	137	54	and	and	CCONJ
bracis-28394	137	55	stochastic	stochastic	ADJ
bracis-28394	137	56	gradient	gradient	ADJ
bracis-28394	137	57	descent	descent	NOUN
bracis-28394	137	58	(	(	PUNCT
bracis-28394	137	59	sgd	sgd	PROPN
bracis-28394	137	60	)	)	PUNCT
bracis-28394	137	61	.	.	PUNCT
bracis-28394	138	1	the	the	DET
bracis-28394	138	2	mlc	mlc	PROPN
bracis-28394	138	3	algorithms	algorithm	NOUN
bracis-28394	138	4	included	include	VERB
bracis-28394	138	5	in	in	ADP
bracis-28394	138	6	the	the	DET
bracis-28394	138	7	search	search	NOUN
bracis-28394	138	8	space	space	NOUN
bracis-28394	138	9	belong	belong	VERB
bracis-28394	138	10	to	to	ADP
bracis-28394	138	11	the	the	DET
bracis-28394	138	12	following	follow	VERB
bracis-28394	138	13	categories	category	NOUN
bracis-28394	138	14	:	:	PUNCT
bracis-28394	138	15	ensemble	ensemble	ADJ
bracis-28394	138	16	:	:	PUNCT
bracis-28394	138	17	random	random	ADJ
bracis-28394	138	18	k	k	PROPN
bracis-28394	139	1	labelsets	labelset	NOUN
bracis-28394	139	2	disjoint	disjoint	NOUN
bracis-28394	139	3	(	(	PUNCT
bracis-28394	139	4	rakeld	rakeld	NOUN
bracis-28394	139	5	)	)	PUNCT
bracis-28394	139	6	;	;	PUNCT
bracis-28394	139	7	pt	pt	X
bracis-28394	139	8	:	:	PUNCT
bracis-28394	139	9	binary	binary	ADJ
bracis-28394	139	10	relevance	relevance	NOUN
bracis-28394	139	11	(	(	PUNCT
bracis-28394	139	12	br	br	NOUN
bracis-28394	139	13	)	)	PUNCT
bracis-28394	139	14	and	and	CCONJ
bracis-28394	139	15	classifier	classifier	NOUN
bracis-28394	139	16	chains	chain	NOUN
bracis-28394	139	17	(	(	PUNCT
bracis-28394	139	18	cc	cc	NOUN
bracis-28394	139	19	)	)	PUNCT
bracis-28394	139	20	;	;	PUNCT
bracis-28394	139	21	and	and	CCONJ
bracis-28394	139	22	aa	aa	NOUN
bracis-28394	139	23	:	:	PUNCT
bracis-28394	139	24	br	br	PROPN
bracis-28394	139	25	and	and	CCONJ
bracis-28394	139	26	knn	knn	VERB
bracis-28394	139	27	in	in	ADP
bracis-28394	139	28	version	version	NOUN
bracis-28394	139	29	a	a	DET
bracis-28394	139	30	(	(	PUNCT
bracis-28394	139	31	brknna	brknna	NOUN
bracis-28394	139	32	)	)	PUNCT
bracis-28394	139	33	,	,	PUNCT
bracis-28394	139	34	br	br	PROPN
bracis-28394	139	35	and	and	CCONJ
bracis-28394	139	36	knn	knn	VERB
bracis-28394	139	37	in	in	ADP
bracis-28394	139	38	version	version	PROPN
bracis-28394	139	39	b	b	PROPN
bracis-28394	139	40	(	(	PUNCT
bracis-28394	139	41	brknnb	brknnb	NOUN
bracis-28394	139	42	)	)	PUNCT
bracis-28394	139	43	,	,	PUNCT
bracis-28394	139	44	dt	dt	PROPN
bracis-28394	139	45	,	,	PUNCT
bracis-28394	139	46	multi	multi	ADJ
bracis-28394	139	47	-	-	ADJ
bracis-28394	139	48	label	label	ADJ
bracis-28394	139	49	knn	knn	NOUN
bracis-28394	139	50	(	(	PUNCT
bracis-28394	139	51	mlknn	mlknn	ADJ
bracis-28394	139	52	)	)	PUNCT
bracis-28394	139	53	,	,	PUNCT
bracis-28394	139	54	multi	multi	ADJ
bracis-28394	139	55	-	-	ADJ
bracis-28394	139	56	label	label	ADJ
bracis-28394	139	57	support	support	NOUN
bracis-28394	139	58	vector	vector	NOUN
bracis-28394	139	59	machines	machine	NOUN
bracis-28394	139	60	(	(	PUNCT
bracis-28394	139	61	mltsvm	mltsvm	PROPN
bracis-28394	139	62	)	)	PUNCT
bracis-28394	139	63	,	,	PUNCT
bracis-28394	139	64	multi	multi	ADJ
bracis-28394	139	65	-	-	ADJ
bracis-28394	139	66	label	label	ADJ
bracis-28394	139	67	adaptive	adaptive	ADJ
bracis-28394	139	68	resonance	resonance	NOUN
bracis-28394	139	69	associative	associative	NOUN
bracis-28394	139	70	map	map	NOUN
bracis-28394	139	71	(	(	PUNCT
bracis-28394	139	72	mlaram	mlaram	PROPN
bracis-28394	139	73	)	)	PUNCT
bracis-28394	139	74	,	,	PUNCT
bracis-28394	139	75	and	and	CCONJ
bracis-28394	139	76	rf	rf	NOUN
bracis-28394	139	77	.	.	NOUN
bracis-28394	139	78	in	in	ADP
bracis-28394	139	79	fig	fig	NOUN
bracis-28394	139	80	.	.	PUNCT
bracis-28394	139	81	 	 	SPACE
bracis-28394	140	1	1	1	NUM
bracis-28394	140	2	,	,	PUNCT
bracis-28394	140	3	rakeld	rakeld	NOUN
bracis-28394	140	4	algorithm	algorithm	NOUN
bracis-28394	140	5	is	be	AUX
bracis-28394	140	6	an	an	DET
bracis-28394	140	7	label	label	NOUN
bracis-28394	140	8	powerset	powerset	NOUN
bracis-28394	140	9	(	(	PUNCT
bracis-28394	140	10	lp	lp	NOUN
bracis-28394	140	11	)	)	PUNCT
bracis-28394	140	12	ensemble	ensemble	ADJ
bracis-28394	140	13	and	and	CCONJ
bracis-28394	140	14	has	have	VERB
bracis-28394	140	15	a	a	DET
bracis-28394	140	16	base	base	NOUN
bracis-28394	140	17	classifier	classifier	NOUN
bracis-28394	140	18	.	.	PUNCT
bracis-28394	141	1	this	this	DET
bracis-28394	141	2	base	base	NOUN
bracis-28394	141	3	classifier	classifier	NOUN
bracis-28394	141	4	is	be	AUX
bracis-28394	141	5	one	one	NUM
bracis-28394	141	6	of	of	ADP
bracis-28394	141	7	the	the	DET
bracis-28394	141	8	slc	slc	PROPN
bracis-28394	141	9	algorithms	algorithm	NOUN
bracis-28394	141	10	listed	list	VERB
bracis-28394	141	11	.	.	PUNCT
bracis-28394	142	1	the	the	DET
bracis-28394	142	2	multi	multi	ADJ
bracis-28394	142	3	-	-	ADJ
bracis-28394	142	4	label	label	ADJ
bracis-28394	142	5	algorithms	algorithms	NOUN
bracis-28394	142	6	of	of	ADP
bracis-28394	142	7	the	the	DET
bracis-28394	142	8	pt	pt	NOUN
bracis-28394	142	9	category	category	NOUN
bracis-28394	142	10	also	also	ADV
bracis-28394	142	11	have	have	VERB
bracis-28394	142	12	a	a	DET
bracis-28394	142	13	base	base	NOUN
bracis-28394	142	14	classifier	classifier	NOUN
bracis-28394	142	15	,	,	PUNCT
bracis-28394	142	16	which	which	PRON
bracis-28394	142	17	can	can	AUX
bracis-28394	142	18	be	be	AUX
bracis-28394	142	19	any	any	PRON
bracis-28394	142	20	of	of	ADP
bracis-28394	142	21	the	the	DET
bracis-28394	142	22	11	11	NUM
bracis-28394	142	23	single	single	ADJ
bracis-28394	142	24	-	-	PUNCT
bracis-28394	142	25	label	label	NOUN
bracis-28394	142	26	algorithms	algorithm	NOUN
bracis-28394	142	27	included	include	VERB
bracis-28394	142	28	in	in	ADP
bracis-28394	142	29	the	the	DET
bracis-28394	142	30	search	search	NOUN
bracis-28394	142	31	space	space	NOUN
bracis-28394	142	32	.	.	PUNCT
bracis-28394	143	1	fig	fig	NOUN
bracis-28394	143	2	.	.	PUNCT
bracis-28394	144	1	1	1	X
bracis-28394	144	2	.	.	X
bracis-28394	144	3	search	search	NOUN
bracis-28394	144	4	space	space	NOUN
bracis-28394	144	5	used	use	VERB
bracis-28394	144	6	in	in	ADP
bracis-28394	144	7	our	our	PRON
bracis-28394	144	8	experiments	experiment	NOUN
bracis-28394	144	9	.	.	PUNCT
bracis-28394	145	1	it	it	PRON
bracis-28394	145	2	is	be	AUX
bracis-28394	145	3	composed	compose	VERB
bracis-28394	145	4	of	of	ADP
bracis-28394	145	5	slc	slc	PROPN
bracis-28394	145	6	and	and	CCONJ
bracis-28394	145	7	mlc	mlc	PROPN
bracis-28394	145	8	algorithms	algorithm	NOUN
bracis-28394	145	9	.	.	PUNCT
bracis-28394	146	1	mlc	mlc	PROPN
bracis-28394	146	2	algorithms	algorithm	NOUN
bracis-28394	146	3	belong	belong	VERB
bracis-28394	146	4	to	to	ADP
bracis-28394	146	5	aa	aa	PROPN
bracis-28394	146	6	,	,	PUNCT
bracis-28394	146	7	ensemble	ensemble	ADJ
bracis-28394	146	8	,	,	PUNCT
bracis-28394	146	9	and	and	CCONJ
bracis-28394	146	10	pt	pt	NOUN
bracis-28394	146	11	categories	category	NOUN
bracis-28394	146	12	.	.	PUNCT
bracis-28394	147	1	full	full	ADJ
bracis-28394	147	2	size	size	NOUN
bracis-28394	147	3	image	image	NOUN
bracis-28394	147	4	it	it	PRON
bracis-28394	147	5	is	be	AUX
bracis-28394	147	6	essential	essential	ADJ
bracis-28394	147	7	to	to	PART
bracis-28394	147	8	mention	mention	VERB
bracis-28394	147	9	that	that	SCONJ
bracis-28394	147	10	all	all	DET
bracis-28394	147	11	these	these	DET
bracis-28394	147	12	slc	slc	PROPN
bracis-28394	147	13	and	and	CCONJ
bracis-28394	147	14	mlc	mlc	PROPN
bracis-28394	147	15	algorithms	algorithm	NOUN
bracis-28394	147	16	can	can	AUX
bracis-28394	147	17	have	have	VERB
bracis-28394	147	18	tunable	tunable	ADJ
bracis-28394	147	19	hyperparameters	hyperparameter	NOUN
bracis-28394	147	20	.	.	PUNCT
bracis-28394	148	1	therefore	therefore	ADV
bracis-28394	148	2	,	,	PUNCT
bracis-28394	148	3	the	the	DET
bracis-28394	148	4	search	search	NOUN
bracis-28394	148	5	space	space	NOUN
bracis-28394	148	6	also	also	ADV
bracis-28394	148	7	contains	contain	VERB
bracis-28394	148	8	information	information	NOUN
bracis-28394	148	9	about	about	ADP
bracis-28394	148	10	the	the	DET
bracis-28394	148	11	possible	possible	ADJ
bracis-28394	148	12	values	value	NOUN
bracis-28394	148	13	of	of	ADP
bracis-28394	148	14	each	each	DET
bracis-28394	148	15	hyperparameter	hyperparameter	NOUN
bracis-28394	148	16	.	.	PUNCT
bracis-28394	149	1	in	in	ADP
bracis-28394	149	2	this	this	DET
bracis-28394	149	3	work	work	NOUN
bracis-28394	149	4	,	,	PUNCT
bracis-28394	149	5	we	we	PRON
bracis-28394	149	6	stored	store	VERB
bracis-28394	149	7	the	the	DET
bracis-28394	149	8	possible	possible	ADJ
bracis-28394	149	9	values	value	NOUN
bracis-28394	149	10	of	of	ADP
bracis-28394	149	11	the	the	DET
bracis-28394	149	12	hyperparameters	hyperparameter	NOUN
bracis-28394	149	13	in	in	ADP
bracis-28394	149	14	arrays	array	NOUN
bracis-28394	149	15	,	,	PUNCT
bracis-28394	149	16	which	which	PRON
bracis-28394	149	17	could	could	AUX
bracis-28394	149	18	assume	assume	VERB
bracis-28394	149	19	discrete	discrete	ADJ
bracis-28394	149	20	or	or	CCONJ
bracis-28394	149	21	continuous	continuous	ADJ
bracis-28394	149	22	values	value	NOUN
bracis-28394	149	23	.	.	PUNCT
bracis-28394	150	1	more	more	ADJ
bracis-28394	150	2	information	information	NOUN
bracis-28394	150	3	about	about	ADP
bracis-28394	150	4	the	the	DET
bracis-28394	150	5	search	search	NOUN
bracis-28394	150	6	space	space	NOUN
bracis-28394	150	7	algorithms	algorithm	NOUN
bracis-28394	150	8	(	(	PUNCT
bracis-28394	150	9	their	their	PRON
bracis-28394	150	10	hyperparameters	hyperparameter	NOUN
bracis-28394	150	11	and	and	CCONJ
bracis-28394	150	12	values	value	NOUN
bracis-28394	150	13	)	)	PUNCT
bracis-28394	150	14	is	be	AUX
bracis-28394	150	15	in	in	ADP
bracis-28394	150	16	supplementary	supplementary	ADJ
bracis-28394	150	17	materialfootnote	materialfootnote	NOUN
bracis-28394	150	18	3	3	NUM
bracis-28394	150	19	.	.	NOUN
bracis-28394	150	20	3.4	3.4	NUM
bracis-28394	150	21	evaluation	evaluation	NOUN
bracis-28394	150	22	criteria	criterion	NOUN
bracis-28394	150	23	and	and	CCONJ
bracis-28394	150	24	objectives	objective	VERB
bracis-28394	150	25	the	the	DET
bracis-28394	150	26	evaluation	evaluation	NOUN
bracis-28394	150	27	criteria	criterion	NOUN
bracis-28394	150	28	in	in	ADP
bracis-28394	150	29	our	our	PRON
bracis-28394	150	30	ml	ml	PROPN
bracis-28394	150	31	model	model	NOUN
bracis-28394	150	32	evaluation	evaluation	NOUN
bracis-28394	150	33	approach	approach	NOUN
bracis-28394	150	34	were	be	AUX
bracis-28394	150	35	the	the	DET
bracis-28394	150	36	training	training	NOUN
bracis-28394	150	37	time	time	NOUN
bracis-28394	150	38	and	and	CCONJ
bracis-28394	150	39	the	the	DET
bracis-28394	150	40	measure	measure	NOUN
bracis-28394	150	41	-	-	PUNCT
bracis-28394	150	42	based	base	VERB
bracis-28394	150	43	-	-	PUNCT
bracis-28394	150	44	example	example	NOUN
bracis-28394	151	1	f	f	NOUN
bracis-28394	151	2	-	-	PUNCT
bracis-28394	151	3	score	score	NOUN
bracis-28394	151	4	(	(	PUNCT
bracis-28394	151	5	also	also	ADV
bracis-28394	151	6	known	know	VERB
bracis-28394	151	7	as	as	ADP
bracis-28394	151	8	f	f	NOUN
bracis-28394	151	9	-	-	PUNCT
bracis-28394	151	10	measure	measure	NOUN
bracis-28394	151	11	)	)	PUNCT
bracis-28394	151	12	.	.	PUNCT
bracis-28394	152	1	the	the	DET
bracis-28394	152	2	selected	select	VERB
bracis-28394	152	3	criteria	criterion	NOUN
bracis-28394	152	4	are	be	AUX
bracis-28394	152	5	related	relate	VERB
bracis-28394	152	6	to	to	ADP
bracis-28394	152	7	the	the	DET
bracis-28394	152	8	computational	computational	ADJ
bracis-28394	152	9	time	time	NOUN
bracis-28394	152	10	and	and	CCONJ
bracis-28394	152	11	the	the	DET
bracis-28394	152	12	performance	performance	NOUN
bracis-28394	152	13	of	of	ADP
bracis-28394	152	14	the	the	DET
bracis-28394	152	15	models	model	NOUN
bracis-28394	152	16	,	,	PUNCT
bracis-28394	152	17	respectively	respectively	ADV
bracis-28394	152	18	.	.	PUNCT
bracis-28394	153	1	f	f	X
bracis-28394	153	2	-	-	PUNCT
bracis-28394	153	3	score	score	NOUN
bracis-28394	153	4	is	be	AUX
bracis-28394	153	5	the	the	DET
bracis-28394	153	6	harmonic	harmonic	ADJ
bracis-28394	153	7	mean	mean	NOUN
bracis-28394	153	8	between	between	ADP
bracis-28394	153	9	precision	precision	NOUN
bracis-28394	153	10	and	and	CCONJ
bracis-28394	153	11	recall	recall	NOUN
bracis-28394	153	12	and	and	CCONJ
bracis-28394	153	13	can	can	AUX
bracis-28394	153	14	assume	assume	VERB
bracis-28394	153	15	values	value	NOUN
bracis-28394	153	16	between	between	ADP
bracis-28394	153	17	[	[	X
bracis-28394	153	18	0	0	NUM
bracis-28394	153	19	,	,	PUNCT
bracis-28394	153	20	 	 	SPACE
bracis-28394	153	21	1	1	NUM
bracis-28394	153	22	]	]	PUNCT
bracis-28394	153	23	.	.	PUNCT
bracis-28394	154	1	equation	equation	NOUN
bracis-28394	154	2	 	 	SPACE
bracis-28394	154	3	2	2	NUM
bracis-28394	154	4	presents	present	VERB
bracis-28394	154	5	the	the	DET
bracis-28394	154	6	definition	definition	NOUN
bracis-28394	154	7	of	of	ADP
bracis-28394	154	8	f	f	NOUN
bracis-28394	154	9	-	-	PUNCT
bracis-28394	154	10	score	score	NOUN
bracis-28394	154	11	,	,	PUNCT
bracis-28394	154	12	where	where	SCONJ
bracis-28394	154	13	n	n	PRON
bracis-28394	154	14	is	be	AUX
bracis-28394	154	15	the	the	DET
bracis-28394	154	16	number	number	NOUN
bracis-28394	154	17	of	of	ADP
bracis-28394	154	18	instances	instance	NOUN
bracis-28394	154	19	in	in	ADP
bracis-28394	154	20	the	the	DET
bracis-28394	154	21	dataset	dataset	NOUN
bracis-28394	154	22	,	,	PUNCT
bracis-28394	154	23	\({\textbf	\({\textbf	PROPN
bracis-28394	154	24	{	{	PUNCT
bracis-28394	154	25	y}}_i\	y}}_i\	PROPN
bracis-28394	154	26	)	)	PUNCT
bracis-28394	154	27	is	be	AUX
bracis-28394	154	28	the	the	DET
bracis-28394	154	29	label	label	NOUN
bracis-28394	154	30	set	set	VERB
bracis-28394	154	31	for	for	ADP
bracis-28394	154	32	the	the	DET
bracis-28394	154	33	instance	instance	NOUN
bracis-28394	154	34	\({\textbf	\({\textbf	PROPN
bracis-28394	154	35	{	{	PUNCT
bracis-28394	154	36	x}}_i\	x}}_i\	NOUN
bracis-28394	154	37	)	)	PUNCT
bracis-28394	154	38	,	,	PUNCT
bracis-28394	154	39	and	and	CCONJ
bracis-28394	154	40	\(h({\textbf	\(h({\textbf	NOUN
bracis-28394	154	41	{	{	PUNCT
bracis-28394	154	42	x}}_i)\	x}}_i)\	NOUN
bracis-28394	154	43	)	)	PUNCT
bracis-28394	154	44	is	be	AUX
bracis-28394	154	45	the	the	DET
bracis-28394	154	46	predicted	predict	VERB
bracis-28394	154	47	label	label	NOUN
bracis-28394	154	48	set	set	VERB
bracis-28394	154	49	for	for	ADP
bracis-28394	154	50	instance	instance	NOUN
bracis-28394	154	51	\({\textbf	\({\textbf	PROPN
bracis-28394	154	52	{	{	PUNCT
bracis-28394	154	53	x}}_i\	x}}_i\	NOUN
bracis-28394	154	54	)	)	PUNCT
bracis-28394	154	55	 	 	SPACE
bracis-28394	155	1	[	[	X
bracis-28394	155	2	9	9	NUM
bracis-28394	155	3	,	,	PUNCT
bracis-28394	155	4	17	17	NUM
bracis-28394	155	5	]	]	PUNCT
bracis-28394	155	6	.	.	PUNCT
bracis-28394	156	1	$	$	SYM
bracis-28394	156	2	$	$	SYM
bracis-28394	156	3	\begin{aligned	\begin{aligne	VERB
bracis-28394	156	4	}	}	PUNCT
bracis-28394	156	5	f	f	ADJ
bracis-28394	156	6	-	-	PUNCT
bracis-28394	156	7	score	score	NOUN
bracis-28394	156	8	=	=	SYM
bracis-28394	156	9	\frac{1}{n	\frac{1}{n	NOUN
bracis-28394	156	10	}	}	PUNCT
bracis-28394	156	11	\sum	\sum	NOUN
bracis-28394	156	12	\limits	\limit	NOUN
bracis-28394	156	13	_	_	PUNCT
bracis-28394	156	14	{	{	PUNCT
bracis-28394	156	15	1}^{n}\frac{2\,h({\textbf	1}^{n}\frac{2\,h({\textbf	NUM
bracis-28394	156	16	{	{	PUNCT
bracis-28394	156	17	x}}_i)\cup	x}}_i)\cup	X
bracis-28394	156	18	{	{	PUNCT
bracis-28394	156	19	\textbf	\textbf	PROPN
bracis-28394	156	20	{	{	PUNCT
bracis-28394	156	21	y}}_i|}{|h({\textbf	y}}_i|}{|h({\textbf	PROPN
bracis-28394	156	22	{	{	PUNCT
bracis-28394	156	23	x}}_i)|	x}}_i)|	PROPN
bracis-28394	157	1	+	+	PROPN
bracis-28394	157	2	|{\textbf	|{\textbf	NOUN
bracis-28394	157	3	{	{	PUNCT
bracis-28394	157	4	y}}_i|	y}}_i|	PROPN
bracis-28394	157	5	}	}	PUNCT
bracis-28394	157	6	\end{aligned}$$	\end{aligned}$$	X
bracis-28394	157	7	(	(	PUNCT
bracis-28394	157	8	2	2	NUM
bracis-28394	157	9	)	)	PUNCT
bracis-28394	157	10	given	give	VERB
bracis-28394	157	11	that	that	SCONJ
bracis-28394	157	12	we	we	PRON
bracis-28394	157	13	want	want	VERB
bracis-28394	157	14	to	to	PART
bracis-28394	157	15	maximize	maximize	VERB
bracis-28394	157	16	the	the	DET
bracis-28394	157	17	f	f	NOUN
bracis-28394	157	18	-	-	PUNCT
bracis-28394	157	19	score	score	NOUN
bracis-28394	157	20	and	and	CCONJ
bracis-28394	157	21	minimize	minimize	VERB
bracis-28394	157	22	training	training	NOUN
bracis-28394	157	23	time	time	NOUN
bracis-28394	158	1	,	,	PUNCT
bracis-28394	158	2	we	we	PRON
bracis-28394	158	3	defined	define	VERB
bracis-28394	158	4	the	the	DET
bracis-28394	158	5	objectives	objective	NOUN
bracis-28394	158	6	as	as	ADP
bracis-28394	158	7	training	training	NOUN
bracis-28394	158	8	time	time	NOUN
bracis-28394	158	9	and	and	CCONJ
bracis-28394	158	10	1	1	NUM
bracis-28394	158	11	f	f	X
bracis-28394	158	12	-	-	PUNCT
bracis-28394	158	13	score	score	NOUN
bracis-28394	158	14	.	.	PUNCT
bracis-28394	159	1	3.5	3.5	NUM
bracis-28394	159	2	autommlc\(_{{\textbf	autommlc\(_{{\textbf	NOUN
bracis-28394	159	3	{	{	PUNCT
bracis-28394	159	4	mors}}}\	mors}}}\	PROPN
bracis-28394	159	5	)	)	PUNCT
bracis-28394	159	6	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	159	7	)	)	PUNCT
bracis-28394	159	8	is	be	AUX
bracis-28394	159	9	the	the	DET
bracis-28394	159	10	autommlc	autommlc	NOUN
bracis-28394	159	11	method	method	NOUN
bracis-28394	159	12	with	with	ADP
bracis-28394	159	13	the	the	DET
bracis-28394	159	14	mors	mor	NOUN
bracis-28394	159	15	algorithm	algorithm	NOUN
bracis-28394	159	16	.	.	PUNCT
bracis-28394	160	1	this	this	DET
bracis-28394	160	2	method	method	NOUN
bracis-28394	160	3	evaluates	evaluate	VERB
bracis-28394	160	4	candidate	candidate	NOUN
bracis-28394	160	5	solutions	solution	NOUN
bracis-28394	160	6	randomly	randomly	ADV
bracis-28394	160	7	sampled	sample	VERB
bracis-28394	160	8	from	from	ADP
bracis-28394	160	9	the	the	DET
bracis-28394	160	10	search	search	NOUN
bracis-28394	160	11	space	space	NOUN
bracis-28394	160	12	and	and	CCONJ
bracis-28394	160	13	returns	return	VERB
bracis-28394	160	14	the	the	DET
bracis-28394	160	15	set	set	NOUN
bracis-28394	160	16	of	of	ADP
bracis-28394	160	17	non	non	ADJ
bracis-28394	160	18	-	-	ADJ
bracis-28394	160	19	dominated	dominated	ADJ
bracis-28394	160	20	ones	one	NOUN
bracis-28394	160	21	(	(	PUNCT
bracis-28394	160	22	pareto	pareto	ADJ
bracis-28394	160	23	frontier	frontier	NOUN
bracis-28394	160	24	)	)	PUNCT
bracis-28394	160	25	.	.	PUNCT
bracis-28394	161	1	it	it	PRON
bracis-28394	161	2	receives	receive	VERB
bracis-28394	161	3	the	the	DET
bracis-28394	161	4	termination	termination	NOUN
bracis-28394	161	5	criterion	criterion	NOUN
bracis-28394	161	6	and	and	CCONJ
bracis-28394	161	7	the	the	DET
bracis-28394	161	8	training	training	NOUN
bracis-28394	161	9	and	and	CCONJ
bracis-28394	161	10	testing	testing	NOUN
bracis-28394	161	11	set	set	VERB
bracis-28394	161	12	as	as	ADP
bracis-28394	161	13	parameters	parameter	NOUN
bracis-28394	161	14	.	.	PUNCT
bracis-28394	162	1	then	then	ADV
bracis-28394	162	2	,	,	PUNCT
bracis-28394	162	3	it	it	PRON
bracis-28394	162	4	randomly	randomly	ADV
bracis-28394	162	5	obtains	obtain	VERB
bracis-28394	162	6	a	a	DET
bracis-28394	162	7	mlc	mlc	NOUN
bracis-28394	162	8	algorithm	algorithm	NOUN
bracis-28394	162	9	and	and	CCONJ
bracis-28394	162	10	its	its	PRON
bracis-28394	162	11	hyperparameters	hyperparameter	NOUN
bracis-28394	162	12	from	from	ADP
bracis-28394	162	13	the	the	DET
bracis-28394	162	14	search	search	NOUN
bracis-28394	162	15	space	space	NOUN
bracis-28394	162	16	.	.	PUNCT
bracis-28394	163	1	in	in	ADP
bracis-28394	163	2	sequence	sequence	NOUN
bracis-28394	163	3	,	,	PUNCT
bracis-28394	163	4	it	it	PRON
bracis-28394	163	5	trains	train	VERB
bracis-28394	163	6	this	this	DET
bracis-28394	163	7	multi	multi	ADJ
bracis-28394	163	8	-	-	ADJ
bracis-28394	163	9	label	label	ADJ
bracis-28394	163	10	algorithm	algorithm	NOUN
bracis-28394	163	11	with	with	ADP
bracis-28394	163	12	the	the	DET
bracis-28394	163	13	training	training	NOUN
bracis-28394	163	14	data	datum	NOUN
bracis-28394	163	15	and	and	CCONJ
bracis-28394	163	16	calculates	calculate	VERB
bracis-28394	163	17	training	training	NOUN
bracis-28394	163	18	time	time	NOUN
bracis-28394	163	19	and	and	CCONJ
bracis-28394	163	20	f	f	NOUN
bracis-28394	163	21	-	-	PUNCT
bracis-28394	163	22	score	score	NOUN
bracis-28394	163	23	.	.	PUNCT
bracis-28394	164	1	the	the	DET
bracis-28394	164	2	evaluation	evaluation	NOUN
bracis-28394	164	3	criteria	criterion	NOUN
bracis-28394	164	4	(	(	PUNCT
bracis-28394	164	5	training	training	NOUN
bracis-28394	164	6	time	time	NOUN
bracis-28394	164	7	and	and	CCONJ
bracis-28394	164	8	1	1	NUM
bracis-28394	164	9	f	f	X
bracis-28394	164	10	-	-	PUNCT
bracis-28394	164	11	score	score	NOUN
bracis-28394	164	12	)	)	PUNCT
bracis-28394	164	13	are	be	AUX
bracis-28394	164	14	necessary	necessary	ADJ
bracis-28394	164	15	to	to	PART
bracis-28394	164	16	find	find	VERB
bracis-28394	164	17	the	the	DET
bracis-28394	164	18	pareto	pareto	ADJ
bracis-28394	164	19	front	front	NOUN
bracis-28394	164	20	,	,	PUNCT
bracis-28394	164	21	obtained	obtain	VERB
bracis-28394	164	22	as	as	SCONJ
bracis-28394	164	23	described	describe	VERB
bracis-28394	164	24	by	by	ADP
bracis-28394	164	25	deb	deb	PROPN
bracis-28394	164	26	et	et	PROPN
bracis-28394	164	27	al	al	PROPN
bracis-28394	164	28	.	.	PUNCT
bracis-28394	164	29	 	 	SPACE
bracis-28394	165	1	[	[	X
bracis-28394	165	2	2	2	NUM
bracis-28394	165	3	]	]	PUNCT
bracis-28394	165	4	.	.	PUNCT
bracis-28394	166	1	our	our	PRON
bracis-28394	166	2	implementation	implementation	NOUN
bracis-28394	166	3	allows	allow	VERB
bracis-28394	166	4	executing	execute	VERB
bracis-28394	166	5	the	the	DET
bracis-28394	166	6	method	method	NOUN
bracis-28394	166	7	automl	automl	NOUN
bracis-28394	166	8	by	by	ADP
bracis-28394	166	9	fold	fold	NOUN
bracis-28394	166	10	and	and	CCONJ
bracis-28394	166	11	the	the	DET
bracis-28394	166	12	training	training	NOUN
bracis-28394	166	13	and	and	CCONJ
bracis-28394	166	14	evaluation	evaluation	NOUN
bracis-28394	166	15	of	of	ADP
bracis-28394	166	16	the	the	DET
bracis-28394	166	17	models	model	NOUN
bracis-28394	166	18	in	in	ADP
bracis-28394	166	19	parallel	parallel	NOUN
bracis-28394	166	20	from	from	ADP
bracis-28394	166	21	a	a	DET
bracis-28394	166	22	pool	pool	NOUN
bracis-28394	166	23	of	of	ADP
bracis-28394	166	24	threads	thread	NOUN
bracis-28394	166	25	,	,	PUNCT
bracis-28394	166	26	speeding	speed	VERB
bracis-28394	166	27	up	up	ADP
bracis-28394	166	28	the	the	DET
bracis-28394	166	29	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	166	30	)	)	PUNCT
bracis-28394	166	31	.	.	PUNCT
bracis-28394	167	1	3.6	3.6	NUM
bracis-28394	167	2	autommlc\(_{{\textbf	autommlc\(_{{\textbf	NOUN
bracis-28394	167	3	{	{	PUNCT
bracis-28394	167	4	nsga}}}\	nsga}}}\	PROPN
bracis-28394	167	5	)	)	PUNCT
bracis-28394	167	6	individual	individual	NOUN
bracis-28394	167	7	.	.	PUNCT
bracis-28394	168	1	in	in	ADP
bracis-28394	168	2	the	the	DET
bracis-28394	168	3	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	168	4	)	)	PUNCT
bracis-28394	168	5	optimization	optimization	NOUN
bracis-28394	168	6	process	process	NOUN
bracis-28394	168	7	,	,	PUNCT
bracis-28394	168	8	we	we	PRON
bracis-28394	168	9	represented	represent	VERB
bracis-28394	168	10	candidate	candidate	NOUN
bracis-28394	168	11	solutions	solution	NOUN
bracis-28394	168	12	(	(	PUNCT
bracis-28394	168	13	individuals	individual	NOUN
bracis-28394	168	14	)	)	PUNCT
bracis-28394	168	15	as	as	ADP
bracis-28394	168	16	an	an	DET
bracis-28394	168	17	array	array	NOUN
bracis-28394	168	18	of	of	ADP
bracis-28394	168	19	integers	integer	NOUN
bracis-28394	168	20	.	.	PUNCT
bracis-28394	169	1	they	they	PRON
bracis-28394	169	2	are	be	AUX
bracis-28394	169	3	created	create	VERB
bracis-28394	169	4	dynamically	dynamically	ADV
bracis-28394	169	5	,	,	PUNCT
bracis-28394	169	6	and	and	CCONJ
bracis-28394	169	7	their	their	PRON
bracis-28394	169	8	structure	structure	NOUN
bracis-28394	169	9	is	be	AUX
bracis-28394	169	10	related	relate	VERB
bracis-28394	169	11	to	to	ADP
bracis-28394	169	12	the	the	DET
bracis-28394	169	13	search	search	NOUN
bracis-28394	169	14	space	space	NOUN
bracis-28394	169	15	.	.	PUNCT
bracis-28394	170	1	figure	figure	NOUN
bracis-28394	170	2	 	 	SPACE
bracis-28394	170	3	2	2	NUM
bracis-28394	170	4	depicts	depict	VERB
bracis-28394	170	5	examples	example	NOUN
bracis-28394	170	6	of	of	ADP
bracis-28394	170	7	individuals	individual	NOUN
bracis-28394	170	8	and	and	CCONJ
bracis-28394	170	9	a	a	DET
bracis-28394	170	10	reduced	reduced	ADJ
bracis-28394	170	11	search	search	NOUN
bracis-28394	170	12	space	space	NOUN
bracis-28394	170	13	,	,	PUNCT
bracis-28394	170	14	considering	consider	VERB
bracis-28394	170	15	only	only	ADV
bracis-28394	170	16	two	two	NUM
bracis-28394	170	17	candidates	candidate	NOUN
bracis-28394	170	18	mlc	mlc	NOUN
bracis-28394	170	19	algorithms	algorithm	NOUN
bracis-28394	170	20	(	(	PUNCT
bracis-28394	170	21	mlknn	mlknn	ADJ
bracis-28394	170	22	and	and	CCONJ
bracis-28394	170	23	br	br	NOUN
bracis-28394	170	24	)	)	PUNCT
bracis-28394	170	25	.	.	PUNCT
bracis-28394	171	1	this	this	DET
bracis-28394	171	2	illustrative	illustrative	ADJ
bracis-28394	171	3	figure	figure	NOUN
bracis-28394	171	4	will	will	AUX
bracis-28394	171	5	be	be	AUX
bracis-28394	171	6	used	use	VERB
bracis-28394	171	7	to	to	PART
bracis-28394	171	8	explain	explain	VERB
bracis-28394	171	9	the	the	DET
bracis-28394	171	10	individual	individual	NOUN
bracis-28394	171	11	.	.	PUNCT
bracis-28394	172	1	each	each	PRON
bracis-28394	172	2	array	array	VERB
bracis-28394	172	3	position	position	NOUN
bracis-28394	172	4	corresponds	correspond	VERB
bracis-28394	172	5	to	to	ADP
bracis-28394	172	6	a	a	DET
bracis-28394	172	7	gene	gene	NOUN
bracis-28394	172	8	,	,	PUNCT
bracis-28394	172	9	and	and	CCONJ
bracis-28394	172	10	the	the	DET
bracis-28394	172	11	first	first	ADJ
bracis-28394	172	12	position	position	NOUN
bracis-28394	172	13	specifies	specify	VERB
bracis-28394	172	14	the	the	DET
bracis-28394	172	15	mlc	mlc	PROPN
bracis-28394	172	16	algorithm	algorithm	NOUN
bracis-28394	172	17	.	.	PUNCT
bracis-28394	173	1	we	we	PRON
bracis-28394	173	2	can	can	AUX
bracis-28394	173	3	get	get	VERB
bracis-28394	173	4	the	the	DET
bracis-28394	173	5	mlc	mlc	NOUN
bracis-28394	173	6	algorithms	algorithm	NOUN
bracis-28394	173	7	from	from	ADP
bracis-28394	173	8	the	the	DET
bracis-28394	173	9	search	search	NOUN
bracis-28394	173	10	space	space	NOUN
bracis-28394	173	11	(	(	PUNCT
bracis-28394	173	12	[	[	X
bracis-28394	173	13	mlknn	mlknn	ADJ
bracis-28394	173	14	,	,	PUNCT
bracis-28394	173	15	br	br	NOUN
bracis-28394	173	16	]	]	PUNCT
bracis-28394	173	17	)	)	PUNCT
bracis-28394	173	18	.	.	PUNCT
bracis-28394	174	1	thus	thus	ADV
bracis-28394	174	2	,	,	PUNCT
bracis-28394	174	3	the	the	DET
bracis-28394	174	4	possible	possible	ADJ
bracis-28394	174	5	values	value	NOUN
bracis-28394	174	6	in	in	ADP
bracis-28394	174	7	the	the	DET
bracis-28394	174	8	first	first	ADJ
bracis-28394	174	9	gene	gene	NOUN
bracis-28394	174	10	are	be	AUX
bracis-28394	174	11	zero	zero	NUM
bracis-28394	174	12	(	(	PUNCT
bracis-28394	174	13	mlknn	mlknn	ADJ
bracis-28394	174	14	)	)	PUNCT
bracis-28394	174	15	or	or	CCONJ
bracis-28394	174	16	one	one	NUM
bracis-28394	174	17	(	(	PUNCT
bracis-28394	174	18	br	br	NOUN
bracis-28394	174	19	)	)	PUNCT
bracis-28394	174	20	,	,	PUNCT
bracis-28394	174	21	which	which	PRON
bracis-28394	174	22	are	be	AUX
bracis-28394	174	23	indexes	index	NOUN
bracis-28394	174	24	into	into	ADP
bracis-28394	174	25	the	the	DET
bracis-28394	174	26	array	array	NOUN
bracis-28394	174	27	of	of	ADP
bracis-28394	174	28	available	available	ADJ
bracis-28394	174	29	mlc	mlc	PROPN
bracis-28394	174	30	algorithms	algorithm	NOUN
bracis-28394	174	31	.	.	PUNCT
bracis-28394	175	1	fig	fig	NOUN
bracis-28394	175	2	.	.	PUNCT
bracis-28394	176	1	2	2	X
bracis-28394	176	2	.	.	X
bracis-28394	176	3	in	in	ADP
bracis-28394	176	4	the	the	DET
bracis-28394	176	5	figure	figure	NOUN
bracis-28394	176	6	,	,	PUNCT
bracis-28394	176	7	there	there	PRON
bracis-28394	176	8	are	be	VERB
bracis-28394	176	9	two	two	NUM
bracis-28394	176	10	individuals	individual	NOUN
bracis-28394	176	11	and	and	CCONJ
bracis-28394	176	12	reduced	reduce	VERB
bracis-28394	176	13	search	search	NOUN
bracis-28394	176	14	spaces	space	NOUN
bracis-28394	176	15	for	for	ADP
bracis-28394	176	16	the	the	DET
bracis-28394	176	17	single	single	ADJ
bracis-28394	176	18	-	-	PUNCT
bracis-28394	176	19	label	label	NOUN
bracis-28394	176	20	and	and	CCONJ
bracis-28394	176	21	multi	multi	ADJ
bracis-28394	176	22	-	-	ADJ
bracis-28394	176	23	label	label	ADJ
bracis-28394	176	24	algorithms	algorithm	NOUN
bracis-28394	176	25	.	.	PUNCT
bracis-28394	177	1	full	full	ADJ
bracis-28394	177	2	size	size	NOUN
bracis-28394	177	3	image	image	NOUN
bracis-28394	177	4	the	the	DET
bracis-28394	177	5	following	follow	VERB
bracis-28394	177	6	individual	individual	NOUN
bracis-28394	177	7	’s	’s	PART
bracis-28394	177	8	genes	gene	NOUN
bracis-28394	177	9	are	be	AUX
bracis-28394	177	10	the	the	DET
bracis-28394	177	11	hyperparameters	hyperparameter	NOUN
bracis-28394	177	12	of	of	ADP
bracis-28394	177	13	the	the	DET
bracis-28394	177	14	mlc	mlc	NOUN
bracis-28394	177	15	algorithms	algorithm	NOUN
bracis-28394	177	16	in	in	ADP
bracis-28394	177	17	the	the	DET
bracis-28394	177	18	multi	multi	ADJ
bracis-28394	177	19	-	-	ADJ
bracis-28394	177	20	label	label	ADJ
bracis-28394	177	21	search	search	NOUN
bracis-28394	177	22	space	space	NOUN
bracis-28394	177	23	.	.	PUNCT
bracis-28394	178	1	they	they	PRON
bracis-28394	178	2	are	be	AUX
bracis-28394	178	3	allocated	allocate	VERB
bracis-28394	178	4	in	in	ADP
bracis-28394	178	5	the	the	DET
bracis-28394	178	6	individual	individual	NOUN
bracis-28394	178	7	in	in	ADP
bracis-28394	178	8	the	the	DET
bracis-28394	178	9	same	same	ADJ
bracis-28394	178	10	order	order	NOUN
bracis-28394	178	11	they	they	PRON
bracis-28394	178	12	appear	appear	VERB
bracis-28394	178	13	in	in	ADP
bracis-28394	178	14	the	the	DET
bracis-28394	178	15	multi	multi	ADJ
bracis-28394	178	16	-	-	ADJ
bracis-28394	178	17	label	label	ADJ
bracis-28394	178	18	search	search	NOUN
bracis-28394	178	19	space	space	NOUN
bracis-28394	178	20	.	.	PUNCT
bracis-28394	179	1	thus	thus	ADV
bracis-28394	179	2	,	,	PUNCT
bracis-28394	179	3	they	they	PRON
bracis-28394	179	4	refer	refer	VERB
bracis-28394	179	5	to	to	ADP
bracis-28394	179	6	the	the	DET
bracis-28394	179	7	hyperparameters	hyperparameter	NOUN
bracis-28394	179	8	(	(	PUNCT
bracis-28394	179	9	fig	fig	NOUN
bracis-28394	179	10	.	.	PUNCT
bracis-28394	179	11	 	 	SPACE
bracis-28394	180	1	2	2	NUM
bracis-28394	180	2	):	):	PUNCT
bracis-28394	180	3	k	k	PROPN
bracis-28394	180	4	and	and	CCONJ
bracis-28394	180	5	classifier	classifier	PROPN
bracis-28394	180	6	.	.	PUNCT
bracis-28394	181	1	the	the	DET
bracis-28394	181	2	other	other	ADJ
bracis-28394	181	3	individual	individual	NOUN
bracis-28394	181	4	’s	’s	PART
bracis-28394	181	5	genes	gene	NOUN
bracis-28394	181	6	are	be	AUX
bracis-28394	181	7	the	the	DET
bracis-28394	181	8	hyperparameters	hyperparameter	NOUN
bracis-28394	181	9	of	of	ADP
bracis-28394	181	10	the	the	DET
bracis-28394	181	11	slc	slc	PROPN
bracis-28394	181	12	algorithms	algorithm	NOUN
bracis-28394	181	13	in	in	ADP
bracis-28394	181	14	the	the	DET
bracis-28394	181	15	single	single	ADJ
bracis-28394	181	16	-	-	PUNCT
bracis-28394	181	17	label	label	NOUN
bracis-28394	181	18	search	search	NOUN
bracis-28394	181	19	space	space	NOUN
bracis-28394	181	20	.	.	PUNCT
bracis-28394	182	1	they	they	PRON
bracis-28394	182	2	are	be	AUX
bracis-28394	182	3	also	also	ADV
bracis-28394	182	4	allocated	allocate	VERB
bracis-28394	182	5	in	in	ADP
bracis-28394	182	6	the	the	DET
bracis-28394	182	7	individual	individual	NOUN
bracis-28394	182	8	in	in	ADP
bracis-28394	182	9	the	the	DET
bracis-28394	182	10	same	same	ADJ
bracis-28394	182	11	order	order	NOUN
bracis-28394	182	12	as	as	ADP
bracis-28394	182	13	in	in	ADP
bracis-28394	182	14	the	the	DET
bracis-28394	182	15	single	single	ADJ
bracis-28394	182	16	-	-	PUNCT
bracis-28394	182	17	label	label	NOUN
bracis-28394	182	18	search	search	NOUN
bracis-28394	182	19	space	space	NOUN
bracis-28394	182	20	.	.	PUNCT
bracis-28394	183	1	therefore	therefore	ADV
bracis-28394	183	2	,	,	PUNCT
bracis-28394	183	3	the	the	DET
bracis-28394	183	4	other	other	ADJ
bracis-28394	183	5	positions	position	NOUN
bracis-28394	183	6	refer	refer	VERB
bracis-28394	183	7	to	to	ADP
bracis-28394	183	8	the	the	DET
bracis-28394	183	9	hyperparameters	hyperparameter	NOUN
bracis-28394	183	10	(	(	PUNCT
bracis-28394	183	11	fig	fig	NOUN
bracis-28394	183	12	.	.	PUNCT
bracis-28394	183	13	 	 	SPACE
bracis-28394	184	1	2	2	NUM
bracis-28394	184	2	):	):	PUNCT
bracis-28394	184	3	c	c	NOUN
bracis-28394	184	4	,	,	PUNCT
bracis-28394	184	5	gamma	gamma	NOUN
bracis-28394	184	6	and	and	CCONJ
bracis-28394	184	7	n_neighbors	n_neighbor	NOUN
bracis-28394	184	8	.	.	PUNCT
bracis-28394	185	1	the	the	DET
bracis-28394	185	2	search	search	NOUN
bracis-28394	185	3	space	space	NOUN
bracis-28394	185	4	contains	contain	VERB
bracis-28394	185	5	the	the	DET
bracis-28394	185	6	possible	possible	ADJ
bracis-28394	185	7	values	value	NOUN
bracis-28394	185	8	that	that	PRON
bracis-28394	185	9	a	a	DET
bracis-28394	185	10	hyperparameter	hyperparameter	NOUN
bracis-28394	185	11	can	can	AUX
bracis-28394	185	12	assume	assume	VERB
bracis-28394	185	13	.	.	PUNCT
bracis-28394	186	1	a	a	DET
bracis-28394	186	2	hyperparameter	hyperparameter	NOUN
bracis-28394	186	3	can	can	AUX
bracis-28394	186	4	take	take	VERB
bracis-28394	186	5	on	on	ADP
bracis-28394	186	6	a	a	DET
bracis-28394	186	7	finite	finite	ADJ
bracis-28394	186	8	number	number	NOUN
bracis-28394	186	9	of	of	ADP
bracis-28394	186	10	possible	possible	ADJ
bracis-28394	186	11	values	value	NOUN
bracis-28394	186	12	.	.	PUNCT
bracis-28394	187	1	therefore	therefore	ADV
bracis-28394	187	2	,	,	PUNCT
bracis-28394	187	3	the	the	DET
bracis-28394	187	4	hyperparameter	hyperparameter	NOUN
bracis-28394	187	5	space	space	NOUN
bracis-28394	187	6	is	be	AUX
bracis-28394	187	7	discrete	discrete	ADJ
bracis-28394	187	8	,	,	PUNCT
bracis-28394	187	9	so	so	CCONJ
bracis-28394	187	10	it	it	PRON
bracis-28394	187	11	was	be	AUX
bracis-28394	187	12	represented	represent	VERB
bracis-28394	187	13	using	use	VERB
bracis-28394	187	14	arrays	array	NOUN
bracis-28394	187	15	in	in	ADP
bracis-28394	187	16	search	search	NOUN
bracis-28394	187	17	space	space	NOUN
bracis-28394	187	18	.	.	PUNCT
bracis-28394	188	1	thus	thus	ADV
bracis-28394	188	2	,	,	PUNCT
bracis-28394	188	3	the	the	DET
bracis-28394	188	4	value	value	NOUN
bracis-28394	188	5	of	of	ADP
bracis-28394	188	6	a	a	DET
bracis-28394	188	7	gene	gene	NOUN
bracis-28394	188	8	in	in	ADP
bracis-28394	188	9	the	the	DET
bracis-28394	188	10	individual	individual	NOUN
bracis-28394	188	11	indicates	indicate	VERB
bracis-28394	188	12	one	one	NUM
bracis-28394	188	13	of	of	ADP
bracis-28394	188	14	the	the	DET
bracis-28394	188	15	positions	position	NOUN
bracis-28394	188	16	(	(	PUNCT
bracis-28394	188	17	indices	index	NOUN
bracis-28394	188	18	)	)	PUNCT
bracis-28394	188	19	of	of	ADP
bracis-28394	188	20	this	this	DET
bracis-28394	188	21	hyperparameter	hyperparameter	NOUN
bracis-28394	188	22	array	array	NOUN
bracis-28394	188	23	.	.	PUNCT
bracis-28394	189	1	for	for	ADP
bracis-28394	189	2	example	example	NOUN
bracis-28394	189	3	,	,	PUNCT
bracis-28394	189	4	the	the	DET
bracis-28394	189	5	gamma	gamma	PROPN
bracis-28394	189	6	hyperparameter	hyperparameter	NOUN
bracis-28394	189	7	in	in	ADP
bracis-28394	189	8	fig	fig	NOUN
bracis-28394	189	9	.	.	PUNCT
bracis-28394	189	10	 	 	SPACE
bracis-28394	189	11	2	2	NUM
bracis-28394	189	12	has	have	VERB
bracis-28394	189	13	a	a	DET
bracis-28394	189	14	set	set	NOUN
bracis-28394	189	15	of	of	ADP
bracis-28394	189	16	possible	possible	ADJ
bracis-28394	189	17	values	value	NOUN
bracis-28394	189	18	(	(	PUNCT
bracis-28394	189	19	\([2e-5	\([2e-5	X
bracis-28394	189	20	,	,	PUNCT
bracis-28394	189	21	2e-3	2e-3	PROPN
bracis-28394	189	22	,	,	PUNCT
bracis-28394	189	23	2e-1	2e-1	NUM
bracis-28394	189	24	,	,	PUNCT
bracis-28394	189	25	2e1]\	2e1]\	NUM
bracis-28394	189	26	)	)	PUNCT
bracis-28394	189	27	)	)	PUNCT
bracis-28394	189	28	.	.	PUNCT
bracis-28394	190	1	the	the	DET
bracis-28394	190	2	value	value	NOUN
bracis-28394	190	3	of	of	ADP
bracis-28394	190	4	the	the	DET
bracis-28394	190	5	gene	gene	NOUN
bracis-28394	190	6	referring	refer	VERB
bracis-28394	190	7	to	to	ADP
bracis-28394	190	8	this	this	DET
bracis-28394	190	9	hyperparameter	hyperparameter	NOUN
bracis-28394	190	10	in	in	ADP
bracis-28394	190	11	the	the	DET
bracis-28394	190	12	individual	individual	NOUN
bracis-28394	190	13	is	be	AUX
bracis-28394	190	14	3	3	NUM
bracis-28394	190	15	,	,	PUNCT
bracis-28394	190	16	which	which	PRON
bracis-28394	190	17	means	mean	VERB
bracis-28394	190	18	\(gamma	\(gamma	PROPN
bracis-28394	190	19	=	=	SYM
bracis-28394	190	20	2e1\	2e1\	NUM
bracis-28394	190	21	)	)	PUNCT
bracis-28394	190	22	.	.	PUNCT
bracis-28394	191	1	following	follow	VERB
bracis-28394	191	2	the	the	DET
bracis-28394	191	3	described	describe	VERB
bracis-28394	191	4	logic	logic	NOUN
bracis-28394	191	5	,	,	PUNCT
bracis-28394	191	6	individuals	individual	NOUN
bracis-28394	191	7	are	be	AUX
bracis-28394	191	8	randomly	randomly	ADV
bracis-28394	191	9	initialized	initialize	VERB
bracis-28394	191	10	based	base	VERB
bracis-28394	191	11	on	on	ADP
bracis-28394	191	12	the	the	DET
bracis-28394	191	13	search	search	NOUN
bracis-28394	191	14	space	space	NOUN
bracis-28394	191	15	.	.	PUNCT
bracis-28394	192	1	figure	figure	NOUN
bracis-28394	192	2	 	 	SPACE
bracis-28394	192	3	2	2	NUM
bracis-28394	192	4	shows	show	VERB
bracis-28394	192	5	the	the	DET
bracis-28394	192	6	decoding	decoding	NOUN
bracis-28394	192	7	of	of	ADP
bracis-28394	192	8	the	the	DET
bracis-28394	192	9	individual	individual	NOUN
bracis-28394	192	10	.	.	PUNCT
bracis-28394	193	1	the	the	DET
bracis-28394	193	2	individual	individual	NOUN
bracis-28394	193	3	with	with	ADP
bracis-28394	193	4	the	the	DET
bracis-28394	193	5	first	first	ADJ
bracis-28394	193	6	gene	gene	NOUN
bracis-28394	193	7	equal	equal	ADJ
bracis-28394	193	8	to	to	ADP
bracis-28394	193	9	0	0	NUM
bracis-28394	193	10	has	have	AUX
bracis-28394	193	11	mlknn	mlknn	ADJ
bracis-28394	193	12	as	as	ADP
bracis-28394	193	13	a	a	DET
bracis-28394	193	14	mlc	mlc	NOUN
bracis-28394	193	15	algorithm	algorithm	NOUN
bracis-28394	193	16	.	.	PUNCT
bracis-28394	194	1	this	this	DET
bracis-28394	194	2	algorithm	algorithm	NOUN
bracis-28394	194	3	has	have	VERB
bracis-28394	194	4	hyperparameter	hyperparameter	NOUN
bracis-28394	194	5	k	k	PROPN
bracis-28394	194	6	with	with	ADP
bracis-28394	194	7	hyperparameter	hyperparameter	NOUN
bracis-28394	194	8	space	space	NOUN
bracis-28394	194	9	:	:	PUNCT
bracis-28394	195	1	[	[	X
bracis-28394	195	2	1	1	NUM
bracis-28394	195	3	,	,	PUNCT
bracis-28394	195	4	 	 	SPACE
bracis-28394	195	5	3	3	NUM
bracis-28394	195	6	,	,	PUNCT
bracis-28394	195	7	 	 	SPACE
bracis-28394	195	8	5	5	NUM
bracis-28394	195	9	,	,	PUNCT
bracis-28394	195	10	 	 	SPACE
bracis-28394	195	11	7	7	NUM
bracis-28394	195	12	,	,	PUNCT
bracis-28394	195	13	 	 	SPACE
bracis-28394	195	14	9	9	NUM
bracis-28394	195	15	]	]	PUNCT
bracis-28394	195	16	.	.	PUNCT
bracis-28394	196	1	the	the	DET
bracis-28394	196	2	individual	individual	PROPN
bracis-28394	196	3	’s	’s	PART
bracis-28394	196	4	gene	gene	NOUN
bracis-28394	196	5	referring	refer	VERB
bracis-28394	196	6	to	to	ADP
bracis-28394	196	7	this	this	DET
bracis-28394	196	8	hyperparameter	hyperparameter	NOUN
bracis-28394	196	9	contains	contain	VERB
bracis-28394	196	10	a	a	DET
bracis-28394	196	11	value	value	NOUN
bracis-28394	196	12	of	of	ADP
bracis-28394	196	13	2	2	NUM
bracis-28394	196	14	.	.	PUNCT
bracis-28394	197	1	therefore	therefore	ADV
bracis-28394	197	2	,	,	PUNCT
bracis-28394	197	3	we	we	PRON
bracis-28394	197	4	have	have	VERB
bracis-28394	197	5	the	the	DET
bracis-28394	197	6	mlknn	mlknn	ADJ
bracis-28394	197	7	algorithm	algorithm	NOUN
bracis-28394	197	8	with	with	ADP
bracis-28394	197	9	k	k	PROPN
bracis-28394	197	10	equal	equal	ADJ
bracis-28394	197	11	to	to	ADP
bracis-28394	197	12	5	5	NUM
bracis-28394	197	13	.	.	PUNCT
bracis-28394	198	1	the	the	DET
bracis-28394	198	2	hatched	hatched	ADJ
bracis-28394	198	3	genes	gene	NOUN
bracis-28394	198	4	in	in	ADP
bracis-28394	198	5	fig	fig	NOUN
bracis-28394	198	6	.	.	PUNCT
bracis-28394	198	7	 	 	SPACE
bracis-28394	198	8	2	2	NUM
bracis-28394	198	9	have	have	VERB
bracis-28394	198	10	values	value	NOUN
bracis-28394	198	11	,	,	PUNCT
bracis-28394	198	12	but	but	CCONJ
bracis-28394	198	13	they	they	PRON
bracis-28394	198	14	are	be	AUX
bracis-28394	198	15	not	not	PART
bracis-28394	198	16	used	use	VERB
bracis-28394	198	17	in	in	ADP
bracis-28394	198	18	the	the	DET
bracis-28394	198	19	mlknn	mlknn	ADJ
bracis-28394	198	20	algorithm	algorithm	NOUN
bracis-28394	198	21	.	.	PUNCT
bracis-28394	199	1	on	on	ADP
bracis-28394	199	2	the	the	DET
bracis-28394	199	3	other	other	ADJ
bracis-28394	199	4	hand	hand	NOUN
bracis-28394	199	5	,	,	PUNCT
bracis-28394	199	6	when	when	SCONJ
bracis-28394	199	7	the	the	DET
bracis-28394	199	8	individual	individual	NOUN
bracis-28394	199	9	’s	’s	PART
bracis-28394	199	10	first	first	ADJ
bracis-28394	199	11	gene	gene	NOUN
bracis-28394	199	12	is	be	AUX
bracis-28394	199	13	1	1	NUM
bracis-28394	199	14	,	,	PUNCT
bracis-28394	199	15	the	the	DET
bracis-28394	199	16	mlc	mlc	PROPN
bracis-28394	199	17	algorithm	algorithm	PROPN
bracis-28394	199	18	is	be	AUX
bracis-28394	199	19	br	br	NOUN
bracis-28394	199	20	.	.	PUNCT
bracis-28394	200	1	this	this	DET
bracis-28394	200	2	algorithm	algorithm	NOUN
bracis-28394	200	3	has	have	VERB
bracis-28394	200	4	the	the	DET
bracis-28394	200	5	hyperparameter	hyperparameter	NOUN
bracis-28394	200	6	classifier	classifier	NOUN
bracis-28394	200	7	with	with	ADP
bracis-28394	200	8	hyperparameter	hyperparameter	NOUN
bracis-28394	200	9	space	space	NOUN
bracis-28394	200	10	:	:	PUNCT
bracis-28394	201	1	[	[	X
bracis-28394	201	2	svm	svm	ADJ
bracis-28394	201	3	,	,	PUNCT
bracis-28394	201	4	 	 	SPACE
bracis-28394	201	5	knn	knn	PROPN
bracis-28394	201	6	]	]	X
bracis-28394	201	7	.	.	PUNCT
bracis-28394	202	1	the	the	DET
bracis-28394	202	2	individual	individual	PROPN
bracis-28394	202	3	’s	’s	PART
bracis-28394	202	4	gene	gene	NOUN
bracis-28394	202	5	referring	refer	VERB
bracis-28394	202	6	to	to	ADP
bracis-28394	202	7	this	this	DET
bracis-28394	202	8	hyperparameter	hyperparameter	NOUN
bracis-28394	202	9	contains	contain	VERB
bracis-28394	202	10	a	a	DET
bracis-28394	202	11	value	value	NOUN
bracis-28394	202	12	of	of	ADP
bracis-28394	202	13	0	0	NUM
bracis-28394	202	14	.	.	PUNCT
bracis-28394	203	1	therefore	therefore	ADV
bracis-28394	203	2	,	,	PUNCT
bracis-28394	203	3	we	we	PRON
bracis-28394	203	4	have	have	VERB
bracis-28394	203	5	the	the	DET
bracis-28394	203	6	br	br	PROPN
bracis-28394	203	7	algorithm	algorithm	NOUN
bracis-28394	203	8	with	with	ADP
bracis-28394	203	9	the	the	DET
bracis-28394	203	10	classifier	classifier	NOUN
bracis-28394	203	11	equal	equal	ADJ
bracis-28394	203	12	to	to	PART
bracis-28394	203	13	svm	svm	VERB
bracis-28394	203	14	.	.	PUNCT
bracis-28394	204	1	we	we	PRON
bracis-28394	204	2	must	must	AUX
bracis-28394	204	3	also	also	ADV
bracis-28394	204	4	decode	decode	VERB
bracis-28394	204	5	the	the	DET
bracis-28394	204	6	svm	svm	ADJ
bracis-28394	204	7	base	base	NOUN
bracis-28394	204	8	classifier	classifier	NOUN
bracis-28394	204	9	(	(	PUNCT
bracis-28394	204	10	\(c	\(c	NOUN
bracis-28394	204	11	=	=	SYM
bracis-28394	204	12	2e-1\	2e-1\	NUM
bracis-28394	204	13	)	)	PUNCT
bracis-28394	204	14	and	and	CCONJ
bracis-28394	204	15	\(gamma	\(gamma	NOUN
bracis-28394	204	16	=	=	SYM
bracis-28394	204	17	2e1\	2e1\	NUM
bracis-28394	204	18	)	)	PUNCT
bracis-28394	204	19	)	)	PUNCT
bracis-28394	204	20	.	.	PUNCT
bracis-28394	205	1	autommlc\(_{{\textbf	autommlc\(_{{\textbf	NOUN
bracis-28394	205	2	{	{	PUNCT
bracis-28394	205	3	nsga}}}\	nsga}}}\	PROPN
bracis-28394	205	4	)	)	PUNCT
bracis-28394	205	5	implementation	implementation	NOUN
bracis-28394	205	6	.	.	PUNCT
bracis-28394	206	1	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	206	2	)	)	PUNCT
bracis-28394	206	3	is	be	AUX
bracis-28394	206	4	the	the	DET
bracis-28394	206	5	autommlc	autommlc	NOUN
bracis-28394	206	6	method	method	NOUN
bracis-28394	206	7	with	with	ADP
bracis-28394	206	8	the	the	DET
bracis-28394	206	9	nsga	nsga	NOUN
bracis-28394	206	10	-	-	PUNCT
bracis-28394	206	11	ii	ii	NOUN
bracis-28394	206	12	algorithm	algorithm	NOUN
bracis-28394	206	13	.	.	PUNCT
bracis-28394	207	1	in	in	ADP
bracis-28394	207	2	the	the	DET
bracis-28394	207	3	implementation	implementation	NOUN
bracis-28394	207	4	,	,	PUNCT
bracis-28394	207	5	we	we	PRON
bracis-28394	207	6	used	use	VERB
bracis-28394	207	7	the	the	DET
bracis-28394	207	8	nsga	nsga	NOUN
bracis-28394	207	9	-	-	PUNCT
bracis-28394	207	10	ii	ii	NOUN
bracis-28394	207	11	algorithm	algorithm	NOUN
bracis-28394	207	12	from	from	ADP
bracis-28394	207	13	pymoo	pymoo	NOUN
bracis-28394	207	14	,	,	PUNCT
bracis-28394	207	15	a	a	DET
bracis-28394	207	16	multi	multi	ADJ
bracis-28394	207	17	-	-	ADJ
bracis-28394	207	18	objective	objective	ADJ
bracis-28394	207	19	optimization	optimization	NOUN
bracis-28394	207	20	framework	framework	NOUN
bracis-28394	207	21	in	in	ADP
bracis-28394	207	22	python	python	PROPN
bracis-28394	207	23	 	 	SPACE
bracis-28394	208	1	[	[	X
bracis-28394	208	2	1	1	NUM
bracis-28394	208	3	]	]	PUNCT
bracis-28394	208	4	.	.	PUNCT
bracis-28394	209	1	for	for	ADP
bracis-28394	209	2	this	this	PRON
bracis-28394	209	3	,	,	PUNCT
bracis-28394	209	4	we	we	PRON
bracis-28394	209	5	defined	define	VERB
bracis-28394	209	6	the	the	DET
bracis-28394	209	7	search	search	NOUN
bracis-28394	209	8	space	space	NOUN
bracis-28394	209	9	and	and	CCONJ
bracis-28394	209	10	developed	developed	ADJ
bracis-28394	209	11	classes	class	NOUN
bracis-28394	209	12	that	that	PRON
bracis-28394	209	13	inherit	inherit	VERB
bracis-28394	209	14	from	from	ADP
bracis-28394	209	15	the	the	DET
bracis-28394	209	16	pymoo	pymoo	NOUN
bracis-28394	209	17	framework	framework	NOUN
bracis-28394	209	18	classes	class	NOUN
bracis-28394	209	19	:	:	PUNCT
bracis-28394	209	20	sampling	sample	VERB
bracis-28394	209	21	:	:	PUNCT
bracis-28394	209	22	we	we	PRON
bracis-28394	209	23	specified	specify	VERB
bracis-28394	209	24	how	how	SCONJ
bracis-28394	209	25	to	to	PART
bracis-28394	209	26	create	create	VERB
bracis-28394	209	27	an	an	DET
bracis-28394	209	28	initial	initial	ADJ
bracis-28394	209	29	population	population	NOUN
bracis-28394	209	30	.	.	PUNCT
bracis-28394	210	1	our	our	PRON
bracis-28394	210	2	algorithm	algorithm	NOUN
bracis-28394	210	3	selects	select	VERB
bracis-28394	210	4	the	the	DET
bracis-28394	210	5	initial	initial	ADJ
bracis-28394	210	6	population	population	NOUN
bracis-28394	210	7	randomly	randomly	ADV
bracis-28394	210	8	,	,	PUNCT
bracis-28394	210	9	selecting	select	VERB
bracis-28394	210	10	a	a	DET
bracis-28394	210	11	valid	valid	ADJ
bracis-28394	210	12	value	value	NOUN
bracis-28394	210	13	for	for	ADP
bracis-28394	210	14	each	each	DET
bracis-28394	210	15	gene	gene	NOUN
bracis-28394	210	16	in	in	ADP
bracis-28394	210	17	the	the	DET
bracis-28394	210	18	search	search	NOUN
bracis-28394	210	19	space	space	NOUN
bracis-28394	210	20	.	.	PUNCT
bracis-28394	211	1	problem	problem	NOUN
bracis-28394	211	2	:	:	PUNCT
bracis-28394	211	3	in	in	ADP
bracis-28394	211	4	this	this	DET
bracis-28394	211	5	class	class	NOUN
bracis-28394	211	6	,	,	PUNCT
bracis-28394	211	7	we	we	PRON
bracis-28394	211	8	initialized	initialize	VERB
bracis-28394	211	9	the	the	DET
bracis-28394	211	10	number	number	NOUN
bracis-28394	211	11	of	of	ADP
bracis-28394	211	12	objectives	objective	NOUN
bracis-28394	211	13	and	and	CCONJ
bracis-28394	211	14	defined	define	VERB
bracis-28394	211	15	how	how	SCONJ
bracis-28394	211	16	to	to	PART
bracis-28394	211	17	evaluate	evaluate	VERB
bracis-28394	211	18	the	the	DET
bracis-28394	211	19	candidate	candidate	NOUN
bracis-28394	211	20	solution	solution	NOUN
bracis-28394	211	21	.	.	PUNCT
bracis-28394	212	1	this	this	DET
bracis-28394	212	2	implementation	implementation	NOUN
bracis-28394	212	3	involved	involve	VERB
bracis-28394	212	4	decoding	decode	VERB
bracis-28394	212	5	the	the	DET
bracis-28394	212	6	individual	individual	NOUN
bracis-28394	212	7	in	in	ADP
bracis-28394	212	8	a	a	DET
bracis-28394	212	9	mlc	mlc	NOUN
bracis-28394	212	10	algorithm	algorithm	NOUN
bracis-28394	212	11	and	and	CCONJ
bracis-28394	212	12	assessing	assess	VERB
bracis-28394	212	13	the	the	DET
bracis-28394	212	14	correspondent	correspondent	NOUN
bracis-28394	212	15	classification	classification	NOUN
bracis-28394	212	16	model	model	NOUN
bracis-28394	212	17	,	,	PUNCT
bracis-28394	212	18	measuring	measure	VERB
bracis-28394	212	19	the	the	DET
bracis-28394	212	20	training	training	NOUN
bracis-28394	212	21	time	time	NOUN
bracis-28394	212	22	,	,	PUNCT
bracis-28394	212	23	and	and	CCONJ
bracis-28394	212	24	calculating	calculate	VERB
bracis-28394	212	25	the	the	DET
bracis-28394	212	26	f	f	NOUN
bracis-28394	212	27	-	-	PUNCT
bracis-28394	212	28	score	score	NOUN
bracis-28394	212	29	from	from	ADP
bracis-28394	212	30	the	the	DET
bracis-28394	212	31	model	model	NOUN
bracis-28394	212	32	.	.	PUNCT
bracis-28394	213	1	this	this	DET
bracis-28394	213	2	process	process	NOUN
bracis-28394	213	3	was	be	AUX
bracis-28394	213	4	similar	similar	ADJ
bracis-28394	213	5	to	to	ADP
bracis-28394	213	6	the	the	DET
bracis-28394	213	7	defined	define	VERB
bracis-28394	213	8	mors	mor	NOUN
bracis-28394	213	9	and	and	CCONJ
bracis-28394	213	10	was	be	AUX
bracis-28394	213	11	implemented	implement	VERB
bracis-28394	213	12	in	in	ADP
bracis-28394	213	13	parallel	parallel	NOUN
bracis-28394	213	14	.	.	PUNCT
bracis-28394	214	1	mutation	mutation	NOUN
bracis-28394	214	2	:	:	PUNCT
bracis-28394	214	3	we	we	PRON
bracis-28394	214	4	developed	develop	VERB
bracis-28394	214	5	the	the	DET
bracis-28394	214	6	mutation	mutation	NOUN
bracis-28394	214	7	operator	operator	NOUN
bracis-28394	214	8	,	,	PUNCT
bracis-28394	214	9	which	which	PRON
bracis-28394	214	10	verifies	verify	VERB
bracis-28394	214	11	whether	whether	SCONJ
bracis-28394	214	12	individuals	individual	NOUN
bracis-28394	214	13	may	may	AUX
bracis-28394	214	14	or	or	CCONJ
bracis-28394	214	15	may	may	AUX
bracis-28394	214	16	not	not	PART
bracis-28394	214	17	mutate	mutate	VERB
bracis-28394	214	18	with	with	ADP
bracis-28394	214	19	a	a	DET
bracis-28394	214	20	5	5	NUM
bracis-28394	214	21	%	%	NOUN
bracis-28394	214	22	probability	probability	NOUN
bracis-28394	214	23	.	.	PUNCT
bracis-28394	215	1	the	the	DET
bracis-28394	215	2	mutation	mutation	NOUN
bracis-28394	215	3	alters	alter	VERB
bracis-28394	215	4	one	one	NUM
bracis-28394	215	5	of	of	ADP
bracis-28394	215	6	the	the	DET
bracis-28394	215	7	individual	individual	NOUN
bracis-28394	215	8	’s	’s	PART
bracis-28394	215	9	genes	gene	NOUN
bracis-28394	215	10	with	with	ADP
bracis-28394	215	11	a	a	DET
bracis-28394	215	12	valid	valid	ADJ
bracis-28394	215	13	search	search	NOUN
bracis-28394	215	14	space	space	NOUN
bracis-28394	215	15	value	value	NOUN
bracis-28394	215	16	.	.	PUNCT
bracis-28394	216	1	in	in	ADP
bracis-28394	216	2	the	the	DET
bracis-28394	216	3	crossover	crossover	NOUN
bracis-28394	216	4	,	,	PUNCT
bracis-28394	216	5	we	we	PRON
bracis-28394	216	6	employed	employ	VERB
bracis-28394	216	7	uniform	uniform	NOUN
bracis-28394	216	8	crossover	crossover	ADP
bracis-28394	216	9	available	available	ADJ
bracis-28394	216	10	in	in	ADP
bracis-28394	216	11	the	the	DET
bracis-28394	216	12	pymoo	pymoo	NOUN
bracis-28394	216	13	framework	framework	NOUN
bracis-28394	216	14	,	,	PUNCT
bracis-28394	216	15	where	where	SCONJ
bracis-28394	216	16	each	each	DET
bracis-28394	216	17	child	child	NOUN
bracis-28394	216	18	’s	’s	PART
bracis-28394	216	19	gene	gene	NOUN
bracis-28394	216	20	can	can	AUX
bracis-28394	216	21	be	be	AUX
bracis-28394	216	22	from	from	ADP
bracis-28394	216	23	one	one	NUM
bracis-28394	216	24	of	of	ADP
bracis-28394	216	25	the	the	DET
bracis-28394	216	26	parents	parent	NOUN
bracis-28394	216	27	with	with	ADP
bracis-28394	216	28	a	a	DET
bracis-28394	216	29	probability	probability	NOUN
bracis-28394	216	30	of	of	ADP
bracis-28394	216	31	50	50	NUM
bracis-28394	216	32	%	%	NOUN
bracis-28394	216	33	.	.	PUNCT
bracis-28394	217	1	the	the	DET
bracis-28394	217	2	individuals	individual	NOUN
bracis-28394	217	3	resulting	result	VERB
bracis-28394	217	4	from	from	ADP
bracis-28394	217	5	crossover	crossover	NOUN
bracis-28394	217	6	and	and	CCONJ
bracis-28394	217	7	mutation	mutation	NOUN
bracis-28394	217	8	are	be	AUX
bracis-28394	217	9	valid	valid	ADJ
bracis-28394	217	10	,	,	PUNCT
bracis-28394	217	11	as	as	SCONJ
bracis-28394	217	12	the	the	DET
bracis-28394	217	13	search	search	NOUN
bracis-28394	217	14	space	space	NOUN
bracis-28394	217	15	guarantees	guarantee	VERB
bracis-28394	217	16	the	the	DET
bracis-28394	217	17	consistency	consistency	NOUN
bracis-28394	217	18	of	of	ADP
bracis-28394	217	19	the	the	DET
bracis-28394	217	20	generated	generate	VERB
bracis-28394	217	21	individuals	individual	NOUN
bracis-28394	217	22	.	.	PUNCT
bracis-28394	218	1	3.7	3.7	NUM
bracis-28394	218	2	baseline	baseline	NOUN
bracis-28394	218	3	algorithms	algorithm	NOUN
bracis-28394	218	4	the	the	DET
bracis-28394	218	5	multi	multi	ADJ
bracis-28394	218	6	-	-	ADJ
bracis-28394	218	7	label	label	ADJ
bracis-28394	218	8	search	search	NOUN
bracis-28394	218	9	space	space	NOUN
bracis-28394	218	10	algorithms	algorithm	NOUN
bracis-28394	218	11	were	be	AUX
bracis-28394	218	12	used	use	VERB
bracis-28394	218	13	as	as	ADP
bracis-28394	218	14	baseline	baseline	ADJ
bracis-28394	218	15	algorithms	algorithm	NOUN
bracis-28394	218	16	for	for	ADP
bracis-28394	218	17	comparison	comparison	NOUN
bracis-28394	218	18	.	.	PUNCT
bracis-28394	219	1	we	we	PRON
bracis-28394	219	2	adopted	adopt	VERB
bracis-28394	219	3	the	the	DET
bracis-28394	219	4	svm	svm	ADJ
bracis-28394	219	5	algorithm	algorithm	NOUN
bracis-28394	219	6	as	as	ADP
bracis-28394	219	7	the	the	DET
bracis-28394	219	8	base	base	NOUN
bracis-28394	219	9	classifier	classifier	NOUN
bracis-28394	219	10	of	of	ADP
bracis-28394	219	11	the	the	DET
bracis-28394	219	12	mlc	mlc	PROPN
bracis-28394	219	13	algorithms	algorithm	NOUN
bracis-28394	219	14	of	of	ADP
bracis-28394	219	15	the	the	DET
bracis-28394	219	16	problem	problem	NOUN
bracis-28394	219	17	transformation	transformation	NOUN
bracis-28394	219	18	approach	approach	NOUN
bracis-28394	219	19	.	.	PUNCT
bracis-28394	220	1	svm	svm	PROPN
bracis-28394	220	2	was	be	AUX
bracis-28394	220	3	chosen	choose	VERB
bracis-28394	220	4	because	because	SCONJ
bracis-28394	220	5	it	it	PRON
bracis-28394	220	6	is	be	AUX
bracis-28394	220	7	traditionally	traditionally	ADV
bracis-28394	220	8	used	use	VERB
bracis-28394	220	9	as	as	ADP
bracis-28394	220	10	a	a	DET
bracis-28394	220	11	base	base	NOUN
bracis-28394	220	12	classifier	classifier	NOUN
bracis-28394	220	13	 	 	SPACE
bracis-28394	221	1	[	[	X
bracis-28394	221	2	9	9	NUM
bracis-28394	221	3	]	]	PUNCT
bracis-28394	221	4	.	.	PUNCT
bracis-28394	222	1	for	for	ADP
bracis-28394	222	2	the	the	DET
bracis-28394	222	3	hyperparameters	hyperparameter	NOUN
bracis-28394	222	4	penalty	penalty	NOUN
bracis-28394	222	5	of	of	ADP
bracis-28394	222	6	the	the	DET
bracis-28394	222	7	mltsvm	mltsvm	PROPN
bracis-28394	222	8	algorithm	algorithm	NOUN
bracis-28394	222	9	,	,	PUNCT
bracis-28394	222	10	we	we	PRON
bracis-28394	222	11	use	use	VERB
bracis-28394	222	12	the	the	DET
bracis-28394	222	13	value	value	NOUN
bracis-28394	222	14	\(2e^{-3}\	\(2e^{-3}\	PROPN
bracis-28394	222	15	)	)	PUNCT
bracis-28394	222	16	(	(	PUNCT
bracis-28394	222	17	one	one	NUM
bracis-28394	222	18	of	of	ADP
bracis-28394	222	19	the	the	DET
bracis-28394	222	20	values	value	NOUN
bracis-28394	222	21	of	of	ADP
bracis-28394	222	22	our	our	PRON
bracis-28394	222	23	search	search	NOUN
bracis-28394	222	24	space	space	NOUN
bracis-28394	222	25	)	)	PUNCT
bracis-28394	222	26	.	.	PUNCT
bracis-28394	223	1	we	we	PRON
bracis-28394	223	2	adopted	adopt	VERB
bracis-28394	223	3	the	the	DET
bracis-28394	223	4	default	default	NOUN
bracis-28394	223	5	hyperparameters	hyperparameter	NOUN
bracis-28394	223	6	of	of	ADP
bracis-28394	223	7	the	the	DET
bracis-28394	223	8	implementations	implementation	NOUN
bracis-28394	223	9	available	available	ADJ
bracis-28394	223	10	in	in	ADP
bracis-28394	223	11	the	the	DET
bracis-28394	223	12	textitscikit	textitscikit	NOUN
bracis-28394	223	13	-	-	PUNCT
bracis-28394	223	14	learn	learn	VERB
bracis-28394	223	15	 	 	SPACE
bracis-28394	224	1	[	[	X
bracis-28394	224	2	10	10	NUM
bracis-28394	224	3	]	]	PUNCT
bracis-28394	224	4	and	and	CCONJ
bracis-28394	224	5	scikit	scikit	NOUN
bracis-28394	224	6	-	-	PUNCT
bracis-28394	224	7	multilearn	multilearn	VERB
bracis-28394	224	8	 	 	SPACE
bracis-28394	224	9	[	[	X
bracis-28394	224	10	16	16	NUM
bracis-28394	224	11	]	]	PUNCT
bracis-28394	224	12	libraries	library	NOUN
bracis-28394	224	13	for	for	ADP
bracis-28394	224	14	the	the	DET
bracis-28394	224	15	other	other	ADJ
bracis-28394	224	16	hyperparameters	hyperparameter	NOUN
bracis-28394	224	17	.	.	PUNCT
bracis-28394	225	1	3.8	3.8	NUM
bracis-28394	225	2	settings	setting	NOUN
bracis-28394	225	3	for	for	ADP
bracis-28394	225	4	running	run	VERB
bracis-28394	225	5	we	we	PRON
bracis-28394	225	6	executed	execute	VERB
bracis-28394	225	7	the	the	DET
bracis-28394	225	8	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	225	9	)	)	PUNCT
bracis-28394	225	10	with	with	ADP
bracis-28394	225	11	a	a	DET
bracis-28394	225	12	population	population	NOUN
bracis-28394	225	13	of	of	ADP
bracis-28394	225	14	size	size	NOUN
bracis-28394	225	15	100	100	NUM
bracis-28394	225	16	and	and	CCONJ
bracis-28394	225	17	100	100	NUM
bracis-28394	225	18	generations	generation	NOUN
bracis-28394	225	19	,	,	PUNCT
bracis-28394	225	20	totaling	total	VERB
bracis-28394	225	21	10.000	10.000	NUM
bracis-28394	225	22	candidate	candidate	NOUN
bracis-28394	225	23	solutions	solution	NOUN
bracis-28394	225	24	evaluated	evaluate	VERB
bracis-28394	225	25	.	.	PUNCT
bracis-28394	226	1	the	the	DET
bracis-28394	226	2	mutation	mutation	NOUN
bracis-28394	226	3	rate	rate	NOUN
bracis-28394	226	4	was	be	AUX
bracis-28394	226	5	set	set	VERB
bracis-28394	226	6	to	to	ADP
bracis-28394	226	7	\(5\%\	\(5\%\	NOUN
bracis-28394	226	8	)	)	PUNCT
bracis-28394	226	9	.	.	PUNCT
bracis-28394	227	1	we	we	PRON
bracis-28394	227	2	adopted	adopt	VERB
bracis-28394	227	3	early	early	ADJ
bracis-28394	227	4	stopping	stopping	NOUN
bracis-28394	227	5	,	,	PUNCT
bracis-28394	227	6	so	so	CCONJ
bracis-28394	227	7	if	if	SCONJ
bracis-28394	227	8	there	there	PRON
bracis-28394	227	9	was	be	VERB
bracis-28394	227	10	no	no	DET
bracis-28394	227	11	change	change	NOUN
bracis-28394	227	12	in	in	ADP
bracis-28394	227	13	the	the	DET
bracis-28394	227	14	average	average	NOUN
bracis-28394	227	15	of	of	ADP
bracis-28394	227	16	the	the	DET
bracis-28394	227	17	objectives	objective	NOUN
bracis-28394	227	18	(	(	PUNCT
bracis-28394	227	19	training	training	NOUN
bracis-28394	227	20	time	time	NOUN
bracis-28394	227	21	and	and	CCONJ
bracis-28394	227	22	f	f	NOUN
bracis-28394	227	23	-	-	PUNCT
bracis-28394	227	24	score	score	NOUN
bracis-28394	227	25	)	)	PUNCT
bracis-28394	227	26	for	for	ADP
bracis-28394	227	27	ten	ten	NUM
bracis-28394	227	28	consecutive	consecutive	ADJ
bracis-28394	227	29	generations	generation	NOUN
bracis-28394	227	30	,	,	PUNCT
bracis-28394	227	31	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	227	32	)	)	PUNCT
bracis-28394	227	33	ended	end	VERB
bracis-28394	227	34	.	.	PUNCT
bracis-28394	228	1	the	the	DET
bracis-28394	228	2	budget	budget	NOUN
bracis-28394	228	3	size	size	NOUN
bracis-28394	228	4	for	for	ADP
bracis-28394	228	5	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	228	6	)	)	PUNCT
bracis-28394	228	7	was	be	AUX
bracis-28394	228	8	the	the	DET
bracis-28394	228	9	same	same	ADJ
bracis-28394	228	10	,	,	PUNCT
bracis-28394	228	11	i.e.	i.e.	X
bracis-28394	228	12	,	,	PUNCT
bracis-28394	228	13	it	it	PRON
bracis-28394	228	14	evaluated	evaluate	VERB
bracis-28394	228	15	10.000	10.000	NUM
bracis-28394	228	16	random	random	ADJ
bracis-28394	228	17	candidate	candidate	NOUN
bracis-28394	228	18	solutions	solution	NOUN
bracis-28394	228	19	.	.	PUNCT
bracis-28394	229	1	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	229	2	)	)	PUNCT
bracis-28394	229	3	and	and	CCONJ
bracis-28394	229	4	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	229	5	)	)	PUNCT
bracis-28394	229	6	were	be	AUX
bracis-28394	229	7	implemented	implement	VERB
bracis-28394	229	8	in	in	ADP
bracis-28394	229	9	parallel	parallel	NOUN
bracis-28394	229	10	with	with	ADP
bracis-28394	229	11	a	a	DET
bracis-28394	229	12	pool	pool	NOUN
bracis-28394	229	13	of	of	ADP
bracis-28394	229	14	10	10	NUM
bracis-28394	229	15	threads	thread	NOUN
bracis-28394	229	16	.	.	PUNCT
bracis-28394	230	1	the	the	DET
bracis-28394	230	2	runtime	runtime	NOUN
bracis-28394	230	3	of	of	ADP
bracis-28394	230	4	the	the	DET
bracis-28394	230	5	mlc	mlc	PROPN
bracis-28394	230	6	algorithms	algorithm	NOUN
bracis-28394	230	7	was	be	AUX
bracis-28394	230	8	limited	limit	VERB
bracis-28394	230	9	to	to	ADP
bracis-28394	230	10	20	20	NUM
bracis-28394	230	11	minutes	minute	NOUN
bracis-28394	230	12	.	.	PUNCT
bracis-28394	231	1	limiting	limit	VERB
bracis-28394	231	2	the	the	DET
bracis-28394	231	3	runtime	runtime	NOUN
bracis-28394	231	4	of	of	ADP
bracis-28394	231	5	these	these	DET
bracis-28394	231	6	algorithms	algorithm	NOUN
bracis-28394	231	7	is	be	AUX
bracis-28394	231	8	expected	expect	VERB
bracis-28394	231	9	and	and	CCONJ
bracis-28394	231	10	commonly	commonly	ADV
bracis-28394	231	11	adopted	adopt	VERB
bracis-28394	231	12	in	in	ADP
bracis-28394	231	13	the	the	DET
bracis-28394	231	14	automl	automl	NOUN
bracis-28394	231	15	context	context	NOUN
bracis-28394	231	16	 	 	SPACE
bracis-28394	232	1	[	[	X
bracis-28394	232	2	12,13,14	12,13,14	NUM
bracis-28394	232	3	,	,	PUNCT
bracis-28394	232	4	18	18	NUM
bracis-28394	232	5	,	,	PUNCT
bracis-28394	232	6	19	19	NUM
bracis-28394	232	7	]	]	PUNCT
bracis-28394	232	8	.	.	PUNCT
bracis-28394	233	1	given	give	VERB
bracis-28394	233	2	the	the	DET
bracis-28394	233	3	complexity	complexity	NOUN
bracis-28394	233	4	of	of	ADP
bracis-28394	233	5	some	some	DET
bracis-28394	233	6	multi	multi	ADJ
bracis-28394	233	7	-	-	ADJ
bracis-28394	233	8	label	label	ADJ
bracis-28394	233	9	algorithms	algorithm	NOUN
bracis-28394	233	10	and	and	CCONJ
bracis-28394	233	11	the	the	DET
bracis-28394	233	12	dimensionality	dimensionality	NOUN
bracis-28394	233	13	of	of	ADP
bracis-28394	233	14	some	some	DET
bracis-28394	233	15	datasets	dataset	NOUN
bracis-28394	233	16	,	,	PUNCT
bracis-28394	233	17	our	our	PRON
bracis-28394	233	18	goal	goal	NOUN
bracis-28394	233	19	with	with	ADP
bracis-28394	233	20	the	the	DET
bracis-28394	233	21	runtime	runtime	NOUN
bracis-28394	233	22	limit	limit	NOUN
bracis-28394	233	23	was	be	AUX
bracis-28394	233	24	to	to	PART
bracis-28394	233	25	ensure	ensure	VERB
bracis-28394	233	26	automl	automl	NOUN
bracis-28394	233	27	results	result	NOUN
bracis-28394	233	28	promptly	promptly	ADV
bracis-28394	233	29	.	.	PUNCT
bracis-28394	234	1	if	if	SCONJ
bracis-28394	234	2	the	the	DET
bracis-28394	234	3	algorithm	algorithm	NOUN
bracis-28394	234	4	runtime	runtime	NOUN
bracis-28394	234	5	exceeds	exceed	VERB
bracis-28394	234	6	this	this	DET
bracis-28394	234	7	pre	pre	ADJ
bracis-28394	234	8	-	-	ADJ
bracis-28394	234	9	established	established	ADJ
bracis-28394	234	10	limit	limit	NOUN
bracis-28394	234	11	threshold	threshold	NOUN
bracis-28394	234	12	,	,	PUNCT
bracis-28394	234	13	the	the	DET
bracis-28394	234	14	objectives	objective	NOUN
bracis-28394	234	15	receive	receive	VERB
bracis-28394	234	16	their	their	PRON
bracis-28394	234	17	maximum	maximum	ADJ
bracis-28394	234	18	values	value	NOUN
bracis-28394	234	19	,	,	PUNCT
bracis-28394	234	20	1	1	NUM
bracis-28394	234	21	for	for	ADP
bracis-28394	234	22	1	1	NUM
bracis-28394	234	23	f	f	NOUN
bracis-28394	234	24	-	-	PUNCT
bracis-28394	234	25	score	score	NOUN
bracis-28394	234	26	and	and	CCONJ
bracis-28394	234	27	20	20	NUM
bracis-28394	234	28	min	min	NOUN
bracis-28394	234	29	for	for	ADP
bracis-28394	234	30	training	training	NOUN
bracis-28394	234	31	time	time	NOUN
bracis-28394	234	32	.	.	PUNCT
bracis-28394	235	1	these	these	DET
bracis-28394	235	2	values	value	NOUN
bracis-28394	235	3	were	be	AUX
bracis-28394	235	4	also	also	ADV
bracis-28394	235	5	the	the	DET
bracis-28394	235	6	reference	reference	NOUN
bracis-28394	235	7	point	point	NOUN
bracis-28394	235	8	for	for	ADP
bracis-28394	235	9	the	the	DET
bracis-28394	235	10	hypervolume	hypervolume	NOUN
bracis-28394	235	11	calculation	calculation	NOUN
bracis-28394	235	12	.	.	PUNCT
bracis-28394	236	1	the	the	DET
bracis-28394	236	2	runtime	runtime	NOUN
bracis-28394	236	3	of	of	ADP
bracis-28394	236	4	the	the	DET
bracis-28394	236	5	baseline	baseline	ADJ
bracis-28394	236	6	algorithms	algorithm	NOUN
bracis-28394	236	7	was	be	AUX
bracis-28394	236	8	also	also	ADV
bracis-28394	236	9	limited	limit	VERB
bracis-28394	236	10	to	to	ADP
bracis-28394	236	11	20	20	NUM
bracis-28394	236	12	min	min	NOUN
bracis-28394	236	13	.	.	PROPN
bracis-28394	237	1	in	in	ADP
bracis-28394	237	2	addition	addition	NOUN
bracis-28394	237	3	,	,	PUNCT
bracis-28394	237	4	we	we	PRON
bracis-28394	237	5	also	also	ADV
bracis-28394	237	6	stored	store	VERB
bracis-28394	237	7	all	all	DET
bracis-28394	237	8	the	the	DET
bracis-28394	237	9	evaluated	evaluated	ADJ
bracis-28394	237	10	candidate	candidate	NOUN
bracis-28394	237	11	solutions	solution	NOUN
bracis-28394	237	12	and	and	CCONJ
bracis-28394	237	13	their	their	PRON
bracis-28394	237	14	corresponding	corresponding	ADJ
bracis-28394	237	15	objectives	objective	NOUN
bracis-28394	237	16	’	'	PUNCT
bracis-28394	237	17	values	value	NOUN
bracis-28394	237	18	.	.	PUNCT
bracis-28394	238	1	those	those	DET
bracis-28394	238	2	values	value	NOUN
bracis-28394	238	3	were	be	AUX
bracis-28394	238	4	stored	store	VERB
bracis-28394	238	5	for	for	ADP
bracis-28394	238	6	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	238	7	)	)	PUNCT
bracis-28394	238	8	and	and	CCONJ
bracis-28394	238	9	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	238	10	)	)	PUNCT
bracis-28394	238	11	.	.	PUNCT
bracis-28394	239	1	thus	thus	ADV
bracis-28394	239	2	,	,	PUNCT
bracis-28394	239	3	before	before	ADP
bracis-28394	239	4	considering	consider	VERB
bracis-28394	239	5	a	a	DET
bracis-28394	239	6	new	new	ADJ
bracis-28394	239	7	candidate	candidate	NOUN
bracis-28394	239	8	solution	solution	NOUN
bracis-28394	239	9	,	,	PUNCT
bracis-28394	239	10	we	we	PRON
bracis-28394	239	11	checked	check	VERB
bracis-28394	239	12	if	if	SCONJ
bracis-28394	239	13	it	it	PRON
bracis-28394	239	14	was	be	AUX
bracis-28394	239	15	among	among	ADP
bracis-28394	239	16	the	the	DET
bracis-28394	239	17	solutions	solution	NOUN
bracis-28394	239	18	already	already	ADV
bracis-28394	239	19	evaluated	evaluate	VERB
bracis-28394	239	20	.	.	PUNCT
bracis-28394	240	1	if	if	SCONJ
bracis-28394	240	2	so	so	ADV
bracis-28394	240	3	,	,	PUNCT
bracis-28394	240	4	we	we	PRON
bracis-28394	240	5	used	use	VERB
bracis-28394	240	6	the	the	DET
bracis-28394	240	7	objectives	objective	NOUN
bracis-28394	240	8	already	already	ADV
bracis-28394	240	9	calculated	calculate	VERB
bracis-28394	240	10	,	,	PUNCT
bracis-28394	240	11	avoiding	avoid	VERB
bracis-28394	240	12	training	train	VERB
bracis-28394	240	13	the	the	DET
bracis-28394	240	14	same	same	ADJ
bracis-28394	240	15	classifier	classifier	NOUN
bracis-28394	240	16	(	(	PUNCT
bracis-28394	240	17	algorithm	algorithm	NOUN
bracis-28394	240	18	and	and	CCONJ
bracis-28394	240	19	hyperparameters	hyperparameter	NOUN
bracis-28394	240	20	)	)	PUNCT
bracis-28394	240	21	more	more	ADJ
bracis-28394	240	22	than	than	ADP
bracis-28394	240	23	once	once	ADV
bracis-28394	240	24	.	.	PUNCT
bracis-28394	241	1	with	with	ADP
bracis-28394	241	2	this	this	DET
bracis-28394	241	3	requirement	requirement	NOUN
bracis-28394	241	4	,	,	PUNCT
bracis-28394	241	5	we	we	PRON
bracis-28394	241	6	would	would	AUX
bracis-28394	241	7	like	like	VERB
bracis-28394	241	8	to	to	PART
bracis-28394	241	9	decrease	decrease	VERB
bracis-28394	241	10	the	the	DET
bracis-28394	241	11	total	total	ADJ
bracis-28394	241	12	runtime	runtime	NOUN
bracis-28394	241	13	required	require	VERB
bracis-28394	241	14	by	by	ADP
bracis-28394	241	15	the	the	DET
bracis-28394	241	16	autommlc	autommlc	NOUN
bracis-28394	241	17	.	.	PUNCT
bracis-28394	242	1	3.9	3.9	NUM
bracis-28394	242	2	statistical	statistical	ADJ
bracis-28394	242	3	analysis	analysis	NOUN
bracis-28394	242	4	to	to	PART
bracis-28394	242	5	compare	compare	VERB
bracis-28394	242	6	the	the	DET
bracis-28394	242	7	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	242	8	)	)	PUNCT
bracis-28394	242	9	and	and	CCONJ
bracis-28394	242	10	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	242	11	)	)	PUNCT
bracis-28394	242	12	algorithms	algorithm	NOUN
bracis-28394	242	13	,	,	PUNCT
bracis-28394	242	14	we	we	PRON
bracis-28394	242	15	consider	consider	VERB
bracis-28394	242	16	the	the	DET
bracis-28394	242	17	hypervolume	hypervolume	NOUN
bracis-28394	242	18	obtained	obtain	VERB
bracis-28394	242	19	from	from	ADP
bracis-28394	242	20	the	the	DET
bracis-28394	242	21	pareto	pareto	ADJ
bracis-28394	242	22	frontiers	frontier	NOUN
bracis-28394	242	23	of	of	ADP
bracis-28394	242	24	each	each	DET
bracis-28394	242	25	fold	fold	NOUN
bracis-28394	242	26	of	of	ADP
bracis-28394	242	27	the	the	DET
bracis-28394	242	28	datasets	dataset	NOUN
bracis-28394	242	29	.	.	PUNCT
bracis-28394	243	1	we	we	PRON
bracis-28394	243	2	use	use	VERB
bracis-28394	243	3	the	the	DET
bracis-28394	243	4	wilcoxon	wilcoxon	ADJ
bracis-28394	243	5	non	non	ADJ
bracis-28394	243	6	-	-	ADJ
bracis-28394	243	7	parametric	parametric	ADJ
bracis-28394	243	8	test	test	NOUN
bracis-28394	243	9	 	 	SPACE
bracis-28394	244	1	[	[	X
bracis-28394	244	2	4	4	X
bracis-28394	244	3	]	]	PUNCT
bracis-28394	244	4	to	to	PART
bracis-28394	244	5	evaluate	evaluate	VERB
bracis-28394	244	6	statistically	statistically	ADV
bracis-28394	244	7	the	the	DET
bracis-28394	244	8	hypervolumes	hypervolume	NOUN
bracis-28394	244	9	with	with	ADP
bracis-28394	244	10	a	a	DET
bracis-28394	244	11	significance	significance	NOUN
bracis-28394	244	12	level	level	NOUN
bracis-28394	244	13	of	of	ADP
bracis-28394	244	14	5	5	NUM
bracis-28394	244	15	%	%	NOUN
bracis-28394	244	16	.	.	PUNCT
bracis-28394	245	1	our	our	PRON
bracis-28394	245	2	null	null	ADJ
bracis-28394	245	3	hypothesis	hypothesis	NOUN
bracis-28394	245	4	was	be	AUX
bracis-28394	245	5	that	that	PRON
bracis-28394	245	6	autommlc	autommlc	VERB
bracis-28394	245	7	versions	version	NOUN
bracis-28394	245	8	performed	perform	VERB
bracis-28394	245	9	equally	equally	ADV
bracis-28394	245	10	,	,	PUNCT
bracis-28394	245	11	producing	produce	VERB
bracis-28394	245	12	equivalent	equivalent	ADJ
bracis-28394	245	13	hypervolumes	hypervolume	NOUN
bracis-28394	245	14	.	.	PUNCT
bracis-28394	246	1	we	we	PRON
bracis-28394	246	2	selected	select	VERB
bracis-28394	246	3	pareto	pareto	ADJ
bracis-28394	246	4	frontier	frontier	NOUN
bracis-28394	246	5	algorithms	algorithm	NOUN
bracis-28394	246	6	using	use	VERB
bracis-28394	246	7	frugality	frugality	NOUN
bracis-28394	246	8	score	score	NOUN
bracis-28394	246	9	to	to	PART
bracis-28394	246	10	compare	compare	VERB
bracis-28394	246	11	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	246	12	)	)	PUNCT
bracis-28394	246	13	and	and	CCONJ
bracis-28394	246	14	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	246	15	)	)	PUNCT
bracis-28394	246	16	with	with	ADP
bracis-28394	246	17	the	the	DET
bracis-28394	246	18	baseline	baseline	ADJ
bracis-28394	246	19	algorithms	algorithm	NOUN
bracis-28394	246	20	.	.	PUNCT
bracis-28394	247	1	the	the	DET
bracis-28394	247	2	frugality	frugality	NOUN
bracis-28394	247	3	score	score	NOUN
bracis-28394	247	4	is	be	AUX
bracis-28394	247	5	a	a	DET
bracis-28394	247	6	measure	measure	NOUN
bracis-28394	247	7	for	for	ADP
bracis-28394	247	8	evaluating	evaluate	VERB
bracis-28394	247	9	algorithms	algorithm	NOUN
bracis-28394	247	10	that	that	PRON
bracis-28394	247	11	combines	combine	VERB
bracis-28394	247	12	a	a	DET
bracis-28394	247	13	measure	measure	NOUN
bracis-28394	247	14	of	of	ADP
bracis-28394	247	15	performance	performance	NOUN
bracis-28394	247	16	and	and	CCONJ
bracis-28394	247	17	resources	resource	NOUN
bracis-28394	247	18	 	 	SPACE
bracis-28394	248	1	[	[	X
bracis-28394	248	2	5	5	NUM
bracis-28394	248	3	]	]	PUNCT
bracis-28394	248	4	.	.	PUNCT
bracis-28394	249	1	in	in	ADP
bracis-28394	249	2	this	this	DET
bracis-28394	249	3	work	work	NOUN
bracis-28394	249	4	,	,	PUNCT
bracis-28394	249	5	we	we	PRON
bracis-28394	249	6	combined	combine	VERB
bracis-28394	249	7	the	the	DET
bracis-28394	249	8	f	f	NOUN
bracis-28394	249	9	-	-	PUNCT
bracis-28394	249	10	score	score	NOUN
bracis-28394	249	11	with	with	ADP
bracis-28394	249	12	the	the	DET
bracis-28394	249	13	training	training	NOUN
bracis-28394	249	14	time	time	NOUN
bracis-28394	249	15	,	,	PUNCT
bracis-28394	249	16	where	where	SCONJ
bracis-28394	249	17	the	the	DET
bracis-28394	249	18	f	f	X
bracis-28394	249	19	-	-	PUNCT
bracis-28394	249	20	score	score	NOUN
bracis-28394	249	21	is	be	AUX
bracis-28394	249	22	penalized	penalize	VERB
bracis-28394	249	23	with	with	ADP
bracis-28394	249	24	training	training	NOUN
bracis-28394	249	25	time	time	NOUN
bracis-28394	249	26	,	,	PUNCT
bracis-28394	249	27	as	as	SCONJ
bracis-28394	249	28	shown	show	VERB
bracis-28394	249	29	in	in	ADP
bracis-28394	249	30	eq	eq	PROPN
bracis-28394	249	31	.	.	PUNCT
bracis-28394	249	32	 	 	SPACE
bracis-28394	250	1	3	3	NUM
bracis-28394	250	2	.	.	NOUN
bracis-28394	250	3	$	$	SYM
bracis-28394	250	4	$	$	SYM
bracis-28394	250	5	\begin{aligned	\begin{aligne	VERB
bracis-28394	250	6	}	}	PUNCT
bracis-28394	250	7	frugality	frugality	NOUN
bracis-28394	250	8	=	=	SYM
bracis-28394	250	9	f\_score	f\_score	PROPN
bracis-28394	250	10	\frac{0.5}{1	\frac{0.5}{1	PROPN
bracis-28394	250	11	+	+	CCONJ
bracis-28394	250	12	\frac{1}{training\_time	\frac{1}{training\_time	PROPN
bracis-28394	250	13	}	}	PUNCT
bracis-28394	250	14	}	}	PUNCT
bracis-28394	250	15	\end{aligned}$$	\end{aligned}$$	X
bracis-28394	250	16	(	(	PUNCT
bracis-28394	250	17	3	3	NUM
bracis-28394	250	18	)	)	PUNCT
bracis-28394	250	19	the	the	DET
bracis-28394	250	20	result	result	NOUN
bracis-28394	250	21	of	of	ADP
bracis-28394	250	22	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	250	23	)	)	PUNCT
bracis-28394	250	24	and	and	CCONJ
bracis-28394	250	25	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	250	26	)	)	PUNCT
bracis-28394	250	27	on	on	ADP
bracis-28394	250	28	a	a	DET
bracis-28394	250	29	fold	fold	ADJ
bracis-28394	250	30	/	/	SYM
bracis-28394	250	31	dataset	dataset	NOUN
bracis-28394	250	32	is	be	AUX
bracis-28394	250	33	the	the	DET
bracis-28394	250	34	pareto	pareto	ADJ
bracis-28394	250	35	frontier	frontier	NOUN
bracis-28394	250	36	.	.	PUNCT
bracis-28394	251	1	we	we	PRON
bracis-28394	251	2	calculated	calculate	VERB
bracis-28394	251	3	the	the	DET
bracis-28394	251	4	frugality	frugality	NOUN
bracis-28394	251	5	score	score	NOUN
bracis-28394	251	6	for	for	ADP
bracis-28394	251	7	the	the	DET
bracis-28394	251	8	pareto	pareto	ADJ
bracis-28394	251	9	frontier	frontier	NOUN
bracis-28394	251	10	mlc	mlc	NOUN
bracis-28394	251	11	algorithms	algorithm	NOUN
bracis-28394	251	12	and	and	CCONJ
bracis-28394	251	13	selected	select	VERB
bracis-28394	251	14	the	the	DET
bracis-28394	251	15	highest	high	ADJ
bracis-28394	251	16	score	score	NOUN
bracis-28394	251	17	.	.	PUNCT
bracis-28394	252	1	thus	thus	ADV
bracis-28394	252	2	,	,	PUNCT
bracis-28394	252	3	we	we	PRON
bracis-28394	252	4	have	have	VERB
bracis-28394	252	5	a	a	DET
bracis-28394	252	6	mlc	mlc	NOUN
bracis-28394	252	7	algorithm	algorithm	NOUN
bracis-28394	252	8	representing	represent	VERB
bracis-28394	252	9	the	the	DET
bracis-28394	252	10	results	result	NOUN
bracis-28394	252	11	of	of	ADP
bracis-28394	252	12	autommlc	autommlc	NOUN
bracis-28394	252	13	in	in	ADP
bracis-28394	252	14	each	each	DET
bracis-28394	252	15	fold	fold	ADJ
bracis-28394	252	16	/	/	SYM
bracis-28394	252	17	dataset	dataset	NOUN
bracis-28394	252	18	.	.	PUNCT
bracis-28394	253	1	we	we	PRON
bracis-28394	253	2	used	use	VERB
bracis-28394	253	3	two	two	NUM
bracis-28394	253	4	friedman	friedman	NOUN
bracis-28394	253	5	tests	test	NOUN
bracis-28394	253	6	 	 	SPACE
bracis-28394	254	1	[	[	X
bracis-28394	254	2	4	4	X
bracis-28394	254	3	]	]	PUNCT
bracis-28394	254	4	with	with	ADP
bracis-28394	254	5	a	a	DET
bracis-28394	254	6	significance	significance	NOUN
bracis-28394	254	7	level	level	NOUN
bracis-28394	254	8	of	of	ADP
bracis-28394	254	9	5	5	NUM
bracis-28394	254	10	%	%	NOUN
bracis-28394	254	11	to	to	PART
bracis-28394	254	12	compare	compare	VERB
bracis-28394	254	13	the	the	DET
bracis-28394	254	14	mlc	mlc	NOUN
bracis-28394	254	15	algorithms	algorithm	NOUN
bracis-28394	254	16	representing	represent	VERB
bracis-28394	254	17	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	254	18	)	)	PUNCT
bracis-28394	254	19	and	and	CCONJ
bracis-28394	254	20	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	254	21	)	)	PUNCT
bracis-28394	254	22	with	with	ADP
bracis-28394	254	23	the	the	DET
bracis-28394	254	24	baseline	baseline	ADJ
bracis-28394	254	25	algorithms	algorithm	NOUN
bracis-28394	254	26	to	to	ADP
bracis-28394	254	27	f	f	NOUN
bracis-28394	254	28	-	-	PUNCT
bracis-28394	254	29	score	score	VERB
bracis-28394	254	30	and	and	CCONJ
bracis-28394	254	31	training	training	NOUN
bracis-28394	254	32	time	time	NOUN
bracis-28394	254	33	.	.	PUNCT
bracis-28394	255	1	our	our	PRON
bracis-28394	255	2	null	null	ADJ
bracis-28394	255	3	hypotheses	hypothesis	NOUN
bracis-28394	255	4	were	be	AUX
bracis-28394	255	5	:	:	PUNCT
bracis-28394	255	6	the	the	DET
bracis-28394	255	7	mlc	mlc	NOUN
bracis-28394	255	8	algorithms	algorithm	NOUN
bracis-28394	255	9	had	have	VERB
bracis-28394	255	10	the	the	DET
bracis-28394	255	11	same	same	ADJ
bracis-28394	255	12	f	f	NOUN
bracis-28394	255	13	-	-	PUNCT
bracis-28394	255	14	scores	score	NOUN
bracis-28394	255	15	,	,	PUNCT
bracis-28394	255	16	and	and	CCONJ
bracis-28394	255	17	the	the	DET
bracis-28394	255	18	mlc	mlc	NOUN
bracis-28394	255	19	algorithms	algorithm	NOUN
bracis-28394	255	20	had	have	VERB
bracis-28394	255	21	the	the	DET
bracis-28394	255	22	same	same	ADJ
bracis-28394	255	23	training	training	NOUN
bracis-28394	255	24	time	time	NOUN
bracis-28394	255	25	.	.	PUNCT
bracis-28394	256	1	if	if	SCONJ
bracis-28394	256	2	the	the	DET
bracis-28394	256	3	null	null	ADJ
bracis-28394	256	4	hypotheses	hypothesis	NOUN
bracis-28394	256	5	were	be	AUX
bracis-28394	256	6	rejected	reject	VERB
bracis-28394	256	7	,	,	PUNCT
bracis-28394	256	8	the	the	DET
bracis-28394	256	9	nemenyi	nemenyi	PROPN
bracis-28394	256	10	post	post	ADJ
bracis-28394	256	11	-	-	ADJ
bracis-28394	256	12	hoc	hoc	ADJ
bracis-28394	256	13	test	test	NOUN
bracis-28394	256	14	was	be	AUX
bracis-28394	256	15	applied	apply	VERB
bracis-28394	256	16	,	,	PUNCT
bracis-28394	256	17	where	where	SCONJ
bracis-28394	256	18	the	the	DET
bracis-28394	256	19	performances	performance	NOUN
bracis-28394	256	20	of	of	ADP
bracis-28394	256	21	two	two	NUM
bracis-28394	256	22	mlc	mlc	NOUN
bracis-28394	256	23	algorithms	algorithm	NOUN
bracis-28394	256	24	are	be	AUX
bracis-28394	256	25	significantly	significantly	ADV
bracis-28394	256	26	different	different	ADJ
bracis-28394	256	27	if	if	SCONJ
bracis-28394	256	28	the	the	DET
bracis-28394	256	29	corresponding	corresponding	ADJ
bracis-28394	256	30	mean	mean	NOUN
bracis-28394	256	31	ranks	rank	NOUN
bracis-28394	256	32	differ	differ	VERB
bracis-28394	256	33	by	by	ADP
bracis-28394	256	34	at	at	ADV
bracis-28394	256	35	least	least	ADV
bracis-28394	256	36	one	one	NUM
bracis-28394	256	37	critical	critical	ADJ
bracis-28394	256	38	difference	difference	NOUN
bracis-28394	256	39	value	value	NOUN
bracis-28394	256	40	.	.	PUNCT
bracis-28394	257	1	4	4	NUM
bracis-28394	257	2	results	result	NOUN
bracis-28394	257	3	and	and	CCONJ
bracis-28394	257	4	 	 	SPACE
bracis-28394	257	5	discussion	discussion	NOUN
bracis-28394	257	6	4.1	4.1	NUM
bracis-28394	257	7	autommlc\(_\textrm{nsga}\	autommlc\(_\textrm{nsga}\	NOUN
bracis-28394	257	8	)	)	PUNCT
bracis-28394	257	9	and	and	CCONJ
bracis-28394	257	10	autommlc\(_\textrm{mors}\	autommlc\(_\textrm{mors}\	NUM
bracis-28394	257	11	)	)	PUNCT
bracis-28394	257	12	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	257	13	)	)	PUNCT
bracis-28394	257	14	and	and	CCONJ
bracis-28394	257	15	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	257	16	)	)	PUNCT
bracis-28394	257	17	were	be	AUX
bracis-28394	257	18	run	run	VERB
bracis-28394	257	19	as	as	SCONJ
bracis-28394	257	20	described	describe	VERB
bracis-28394	257	21	in	in	ADP
bracis-28394	257	22	the	the	DET
bracis-28394	257	23	experimental	experimental	ADJ
bracis-28394	257	24	setup	setup	NOUN
bracis-28394	257	25	(	(	PUNCT
bracis-28394	257	26	sect	sect	NOUN
bracis-28394	257	27	.	.	PUNCT
bracis-28394	257	28	 	 	SPACE
bracis-28394	257	29	3.8	3.8	NUM
bracis-28394	257	30	)	)	PUNCT
bracis-28394	257	31	.	.	PUNCT
bracis-28394	258	1	figure	figure	NOUN
bracis-28394	258	2	 	 	SPACE
bracis-28394	258	3	3	3	NUM
bracis-28394	258	4	presents	present	VERB
bracis-28394	258	5	the	the	DET
bracis-28394	258	6	average	average	ADJ
bracis-28394	258	7	hypervolume	hypervolume	NOUN
bracis-28394	258	8	(	(	PUNCT
bracis-28394	258	9	k	k	NOUN
bracis-28394	258	10	-	-	PUNCT
bracis-28394	258	11	folds	fold	NOUN
bracis-28394	258	12	)	)	PUNCT
bracis-28394	258	13	for	for	ADP
bracis-28394	258	14	the	the	DET
bracis-28394	258	15	ten	ten	NUM
bracis-28394	258	16	datasets	dataset	NOUN
bracis-28394	258	17	obtained	obtain	VERB
bracis-28394	258	18	while	while	SCONJ
bracis-28394	258	19	evaluating	evaluate	VERB
bracis-28394	258	20	candidate	candidate	NOUN
bracis-28394	258	21	solutions	solution	NOUN
bracis-28394	258	22	.	.	PUNCT
bracis-28394	259	1	hypervolume	hypervolume	NOUN
bracis-28394	259	2	calculation	calculation	NOUN
bracis-28394	259	3	occurred	occur	VERB
bracis-28394	259	4	every	every	DET
bracis-28394	259	5	100	100	NUM
bracis-28394	259	6	evaluations	evaluation	NOUN
bracis-28394	259	7	for	for	ADP
bracis-28394	259	8	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	259	9	)	)	PUNCT
bracis-28394	259	10	and	and	CCONJ
bracis-28394	259	11	at	at	ADP
bracis-28394	259	12	the	the	DET
bracis-28394	259	13	end	end	NOUN
bracis-28394	259	14	of	of	ADP
bracis-28394	259	15	each	each	DET
bracis-28394	259	16	generation	generation	NOUN
bracis-28394	259	17	for	for	ADP
bracis-28394	259	18	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	259	19	)	)	PUNCT
bracis-28394	259	20	.	.	PUNCT
bracis-28394	260	1	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	260	2	)	)	PUNCT
bracis-28394	260	3	converges	converge	NOUN
bracis-28394	260	4	before	before	ADP
bracis-28394	260	5	10.000	10.000	NUM
bracis-28394	260	6	evaluations	evaluation	NOUN
bracis-28394	260	7	(	(	PUNCT
bracis-28394	260	8	or	or	CCONJ
bracis-28394	260	9	100th	100th	ADJ
bracis-28394	260	10	generation	generation	NOUN
bracis-28394	260	11	)	)	PUNCT
bracis-28394	260	12	,	,	PUNCT
bracis-28394	260	13	and	and	CCONJ
bracis-28394	260	14	its	its	PRON
bracis-28394	260	15	execution	execution	NOUN
bracis-28394	260	16	ends	end	VERB
bracis-28394	260	17	.	.	PUNCT
bracis-28394	261	1	convergence	convergence	NOUN
bracis-28394	261	2	means	mean	VERB
bracis-28394	261	3	that	that	SCONJ
bracis-28394	261	4	after	after	ADP
bracis-28394	261	5	determinate	determinate	NOUN
bracis-28394	261	6	generation	generation	NOUN
bracis-28394	261	7	,	,	PUNCT
bracis-28394	261	8	there	there	PRON
bracis-28394	261	9	were	be	VERB
bracis-28394	261	10	no	no	DET
bracis-28394	261	11	changes	change	NOUN
bracis-28394	261	12	in	in	ADP
bracis-28394	261	13	the	the	DET
bracis-28394	261	14	values	value	NOUN
bracis-28394	261	15	of	of	ADP
bracis-28394	261	16	the	the	DET
bracis-28394	261	17	objectives	objective	NOUN
bracis-28394	261	18	and	and	CCONJ
bracis-28394	261	19	,	,	PUNCT
bracis-28394	261	20	consequently	consequently	ADV
bracis-28394	261	21	,	,	PUNCT
bracis-28394	261	22	in	in	ADP
bracis-28394	261	23	the	the	DET
bracis-28394	261	24	value	value	NOUN
bracis-28394	261	25	of	of	ADP
bracis-28394	261	26	the	the	DET
bracis-28394	261	27	hypervolume	hypervolume	NOUN
bracis-28394	261	28	.	.	PUNCT
bracis-28394	262	1	in	in	ADP
bracis-28394	262	2	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	262	3	)	)	PUNCT
bracis-28394	262	4	,	,	PUNCT
bracis-28394	262	5	there	there	PRON
bracis-28394	262	6	is	be	VERB
bracis-28394	262	7	also	also	ADV
bracis-28394	262	8	this	this	DET
bracis-28394	262	9	tendency	tendency	NOUN
bracis-28394	262	10	.	.	PUNCT
bracis-28394	263	1	as	as	ADP
bracis-28394	263	2	a	a	DET
bracis-28394	263	3	result	result	NOUN
bracis-28394	263	4	,	,	PUNCT
bracis-28394	263	5	the	the	DET
bracis-28394	263	6	hypervolume	hypervolume	NOUN
bracis-28394	263	7	stops	stop	VERB
bracis-28394	263	8	increasing	increase	VERB
bracis-28394	263	9	after	after	ADP
bracis-28394	263	10	a	a	DET
bracis-28394	263	11	certain	certain	ADJ
bracis-28394	263	12	number	number	NOUN
bracis-28394	263	13	of	of	ADP
bracis-28394	263	14	evaluations	evaluation	NOUN
bracis-28394	263	15	.	.	PUNCT
bracis-28394	264	1	however	however	ADV
bracis-28394	264	2	,	,	PUNCT
bracis-28394	264	3	this	this	DET
bracis-28394	264	4	method	method	NOUN
bracis-28394	264	5	has	have	AUX
bracis-28394	264	6	always	always	ADV
bracis-28394	264	7	evaluated	evaluate	VERB
bracis-28394	264	8	the	the	DET
bracis-28394	264	9	10.000	10.000	NUM
bracis-28394	264	10	candidate	candidate	NOUN
bracis-28394	264	11	solutions	solution	NOUN
bracis-28394	264	12	.	.	PUNCT
bracis-28394	265	1	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	265	2	)	)	PUNCT
bracis-28394	265	3	evaluates	evaluate	VERB
bracis-28394	265	4	more	more	ADJ
bracis-28394	265	5	candidate	candidate	NOUN
bracis-28394	265	6	solutions	solution	NOUN
bracis-28394	265	7	than	than	ADP
bracis-28394	265	8	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	PROPN
bracis-28394	265	9	)	)	PUNCT
bracis-28394	265	10	,	,	PUNCT
bracis-28394	265	11	the	the	DET
bracis-28394	265	12	runtime	runtime	NOUN
bracis-28394	265	13	of	of	ADP
bracis-28394	265	14	this	this	DET
bracis-28394	265	15	method	method	NOUN
bracis-28394	265	16	is	be	AUX
bracis-28394	265	17	more	more	ADJ
bracis-28394	265	18	.	.	PUNCT
bracis-28394	266	1	both	both	PRON
bracis-28394	266	2	autommlc	autommlc	VERB
bracis-28394	266	3	methods	method	NOUN
bracis-28394	266	4	consult	consult	VERB
bracis-28394	266	5	candidate	candidate	NOUN
bracis-28394	266	6	solutions	solution	NOUN
bracis-28394	266	7	that	that	PRON
bracis-28394	266	8	have	have	AUX
bracis-28394	266	9	already	already	ADV
bracis-28394	266	10	been	be	AUX
bracis-28394	266	11	evaluated	evaluate	VERB
bracis-28394	266	12	,	,	PUNCT
bracis-28394	266	13	contributing	contribute	VERB
bracis-28394	266	14	to	to	ADP
bracis-28394	266	15	the	the	DET
bracis-28394	266	16	execution	execution	NOUN
bracis-28394	266	17	time	time	NOUN
bracis-28394	266	18	of	of	ADP
bracis-28394	266	19	methods	method	NOUN
bracis-28394	266	20	.	.	PUNCT
bracis-28394	267	1	furthermore	furthermore	ADV
bracis-28394	267	2	,	,	PUNCT
bracis-28394	267	3	the	the	DET
bracis-28394	267	4	methods	method	NOUN
bracis-28394	267	5	stop	stop	VERB
bracis-28394	267	6	training	train	VERB
bracis-28394	267	7	the	the	DET
bracis-28394	267	8	mlc	mlc	NOUN
bracis-28394	267	9	algorithms	algorithm	NOUN
bracis-28394	267	10	when	when	SCONJ
bracis-28394	267	11	the	the	DET
bracis-28394	267	12	training	training	NOUN
bracis-28394	267	13	time	time	NOUN
bracis-28394	267	14	exceeds	exceed	VERB
bracis-28394	267	15	20	20	NUM
bracis-28394	267	16	minutes	minute	NOUN
bracis-28394	267	17	.	.	PUNCT
bracis-28394	268	1	this	this	DET
bracis-28394	268	2	fact	fact	NOUN
bracis-28394	268	3	occurs	occur	VERB
bracis-28394	268	4	more	more	ADV
bracis-28394	268	5	frequently	frequently	ADV
bracis-28394	268	6	in	in	ADP
bracis-28394	268	7	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	268	8	)	)	PUNCT
bracis-28394	268	9	and	and	CCONJ
bracis-28394	268	10	increases	increase	VERB
bracis-28394	268	11	your	your	PRON
bracis-28394	268	12	runtime	runtime	NOUN
bracis-28394	268	13	.	.	PUNCT
bracis-28394	269	1	the	the	DET
bracis-28394	269	2	evolutionary	evolutionary	ADJ
bracis-28394	269	3	process	process	NOUN
bracis-28394	269	4	of	of	ADP
bracis-28394	269	5	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	269	6	)	)	PUNCT
bracis-28394	269	7	contributes	contribute	VERB
bracis-28394	269	8	to	to	ADP
bracis-28394	269	9	the	the	DET
bracis-28394	269	10	lower	low	ADJ
bracis-28394	269	11	number	number	NOUN
bracis-28394	269	12	of	of	ADP
bracis-28394	269	13	interrupted	interrupted	ADJ
bracis-28394	269	14	training	training	NOUN
bracis-28394	269	15	since	since	SCONJ
bracis-28394	269	16	candidate	candidate	NOUN
bracis-28394	269	17	solutions	solution	NOUN
bracis-28394	269	18	subject	subject	ADJ
bracis-28394	269	19	to	to	ADP
bracis-28394	269	20	interruption	interruption	NOUN
bracis-28394	269	21	cease	cease	NOUN
bracis-28394	269	22	to	to	PART
bracis-28394	269	23	be	be	AUX
bracis-28394	269	24	part	part	NOUN
bracis-28394	269	25	of	of	ADP
bracis-28394	269	26	the	the	DET
bracis-28394	269	27	population	population	NOUN
bracis-28394	269	28	in	in	ADP
bracis-28394	269	29	the	the	DET
bracis-28394	269	30	first	first	ADJ
bracis-28394	269	31	generations	generation	NOUN
bracis-28394	269	32	.	.	PUNCT
bracis-28394	270	1	fig	fig	NOUN
bracis-28394	270	2	.	.	PUNCT
bracis-28394	271	1	3	3	X
bracis-28394	271	2	.	.	X
bracis-28394	271	3	convergence	convergence	NOUN
bracis-28394	271	4	graphs	graph	NOUN
bracis-28394	271	5	of	of	ADP
bracis-28394	271	6	mlc	mlc	NOUN
bracis-28394	271	7	methods	method	NOUN
bracis-28394	271	8	.	.	PUNCT
bracis-28394	272	1	each	each	DET
bracis-28394	272	2	curve	curve	NOUN
bracis-28394	272	3	represents	represent	VERB
bracis-28394	272	4	the	the	DET
bracis-28394	272	5	average	average	ADJ
bracis-28394	272	6	hypervolume	hypervolume	NOUN
bracis-28394	272	7	of	of	ADP
bracis-28394	272	8	the	the	DET
bracis-28394	272	9	10	10	NUM
bracis-28394	272	10	-	-	PUNCT
bracis-28394	272	11	folds	fold	NOUN
bracis-28394	272	12	calculated	calculate	VERB
bracis-28394	272	13	as	as	SCONJ
bracis-28394	272	14	the	the	DET
bracis-28394	272	15	solutions	solution	NOUN
bracis-28394	272	16	are	be	AUX
bracis-28394	272	17	evaluated	evaluate	VERB
bracis-28394	272	18	.	.	PUNCT
bracis-28394	273	1	full	full	ADJ
bracis-28394	273	2	size	size	NOUN
bracis-28394	273	3	image	image	NOUN
bracis-28394	273	4	fig	fig	NOUN
bracis-28394	273	5	.	.	PUNCT
bracis-28394	274	1	4	4	X
bracis-28394	274	2	.	.	X
bracis-28394	274	3	boxplot	boxplot	NOUN
bracis-28394	274	4	of	of	ADP
bracis-28394	274	5	hypervolumes	hypervolume	NOUN
bracis-28394	274	6	.	.	PUNCT
bracis-28394	275	1	the	the	DET
bracis-28394	275	2	hypervolumes	hypervolume	NOUN
bracis-28394	275	3	were	be	AUX
bracis-28394	275	4	calculated	calculate	VERB
bracis-28394	275	5	from	from	ADP
bracis-28394	275	6	the	the	DET
bracis-28394	275	7	pareto	pareto	ADJ
bracis-28394	275	8	frontier	frontier	NOUN
bracis-28394	275	9	resulting	result	VERB
bracis-28394	275	10	from	from	ADP
bracis-28394	275	11	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	PROPN
bracis-28394	275	12	)	)	PUNCT
bracis-28394	275	13	and	and	CCONJ
bracis-28394	275	14	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	275	15	)	)	PUNCT
bracis-28394	275	16	.	.	PUNCT
bracis-28394	276	1	each	each	DET
bracis-28394	276	2	subplot	subplot	NOUN
bracis-28394	276	3	brings	bring	VERB
bracis-28394	276	4	the	the	DET
bracis-28394	276	5	hypervolumes	hypervolume	NOUN
bracis-28394	276	6	of	of	ADP
bracis-28394	276	7	the	the	DET
bracis-28394	276	8	10	10	NUM
bracis-28394	276	9	-	-	NOUN
bracis-28394	276	10	fold	fold	NOUN
bracis-28394	276	11	from	from	ADP
bracis-28394	276	12	the	the	DET
bracis-28394	276	13	datasets	dataset	NOUN
bracis-28394	276	14	for	for	ADP
bracis-28394	276	15	both	both	DET
bracis-28394	276	16	versions	version	NOUN
bracis-28394	276	17	of	of	ADP
bracis-28394	276	18	the	the	DET
bracis-28394	276	19	autommlc	autommlc	NOUN
bracis-28394	276	20	.	.	PUNCT
bracis-28394	277	1	full	full	ADJ
bracis-28394	277	2	size	size	NOUN
bracis-28394	277	3	image	image	NOUN
bracis-28394	277	4	fig	fig	NOUN
bracis-28394	277	5	.	.	PUNCT
bracis-28394	278	1	5	5	X
bracis-28394	278	2	.	.	X
bracis-28394	278	3	heat	heat	NOUN
bracis-28394	278	4	map	map	NOUN
bracis-28394	278	5	of	of	ADP
bracis-28394	278	6	selected	select	VERB
bracis-28394	278	7	mlc	mlc	NOUN
bracis-28394	278	8	algorithms	algorithm	NOUN
bracis-28394	278	9	by	by	ADP
bracis-28394	278	10	autommlc	autommlc	NOUN
bracis-28394	278	11	.	.	PUNCT
bracis-28394	279	1	we	we	PRON
bracis-28394	279	2	counted	count	VERB
bracis-28394	279	3	the	the	DET
bracis-28394	279	4	number	number	NOUN
bracis-28394	279	5	of	of	ADP
bracis-28394	279	6	times	time	NOUN
bracis-28394	279	7	the	the	DET
bracis-28394	279	8	mlc	mlc	PROPN
bracis-28394	279	9	algorithms	algorithm	NOUN
bracis-28394	279	10	were	be	AUX
bracis-28394	279	11	selected	select	VERB
bracis-28394	279	12	after	after	ADP
bracis-28394	279	13	executing	execute	VERB
bracis-28394	279	14	the	the	DET
bracis-28394	279	15	10	10	NUM
bracis-28394	279	16	-	-	PUNCT
bracis-28394	279	17	folds	fold	NOUN
bracis-28394	279	18	of	of	ADP
bracis-28394	279	19	a	a	DET
bracis-28394	279	20	dataset	dataset	NOUN
bracis-28394	279	21	.	.	PUNCT
bracis-28394	280	1	full	full	ADJ
bracis-28394	280	2	size	size	NOUN
bracis-28394	280	3	image	image	NOUN
bracis-28394	280	4	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	280	5	)	)	PUNCT
bracis-28394	280	6	and	and	CCONJ
bracis-28394	280	7	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	280	8	)	)	PUNCT
bracis-28394	280	9	results	result	NOUN
bracis-28394	280	10	were	be	AUX
bracis-28394	280	11	the	the	DET
bracis-28394	280	12	multi	multi	ADJ
bracis-28394	280	13	-	-	ADJ
bracis-28394	280	14	objective	objective	ADJ
bracis-28394	280	15	algorithms	algorithm	NOUN
bracis-28394	280	16	results	result	VERB
bracis-28394	280	17	,	,	PUNCT
bracis-28394	280	18	the	the	DET
bracis-28394	280	19	pareto	pareto	ADJ
bracis-28394	280	20	frontier	frontier	NOUN
bracis-28394	280	21	.	.	PUNCT
bracis-28394	281	1	thus	thus	ADV
bracis-28394	281	2	,	,	PUNCT
bracis-28394	281	3	we	we	PRON
bracis-28394	281	4	could	could	AUX
bracis-28394	281	5	evaluate	evaluate	VERB
bracis-28394	281	6	it	it	PRON
bracis-28394	281	7	by	by	ADP
bracis-28394	281	8	calculating	calculate	VERB
bracis-28394	281	9	the	the	DET
bracis-28394	281	10	hypervolume	hypervolume	NOUN
bracis-28394	281	11	.	.	PUNCT
bracis-28394	282	1	figure	figure	VERB
bracis-28394	282	2	 	 	SPACE
bracis-28394	282	3	4	4	NUM
bracis-28394	282	4	shows	show	VERB
bracis-28394	282	5	the	the	DET
bracis-28394	282	6	boxplot	boxplot	NOUN
bracis-28394	282	7	of	of	ADP
bracis-28394	282	8	hypervolumes	hypervolume	NOUN
bracis-28394	282	9	calculated	calculate	VERB
bracis-28394	282	10	for	for	ADP
bracis-28394	282	11	the	the	DET
bracis-28394	282	12	10	10	NUM
bracis-28394	282	13	-	-	ADJ
bracis-28394	282	14	fold	fold	NOUN
bracis-28394	282	15	of	of	ADP
bracis-28394	282	16	each	each	DET
bracis-28394	282	17	dataset	dataset	NOUN
bracis-28394	282	18	,	,	PUNCT
bracis-28394	282	19	considering	consider	VERB
bracis-28394	282	20	the	the	DET
bracis-28394	282	21	results	result	NOUN
bracis-28394	282	22	of	of	ADP
bracis-28394	282	23	the	the	DET
bracis-28394	282	24	autommlc	autommlc	NOUN
bracis-28394	282	25	with	with	ADP
bracis-28394	282	26	nsga	nsga	NOUN
bracis-28394	282	27	-	-	PUNCT
bracis-28394	282	28	ii	ii	NOUN
bracis-28394	282	29	and	and	CCONJ
bracis-28394	282	30	mors	mor	NOUN
bracis-28394	282	31	algorithms	algorithm	VERB
bracis-28394	282	32	.	.	PUNCT
bracis-28394	283	1	as	as	SCONJ
bracis-28394	283	2	we	we	PRON
bracis-28394	283	3	wanted	want	VERB
bracis-28394	283	4	to	to	PART
bracis-28394	283	5	minimize	minimize	VERB
bracis-28394	283	6	the	the	DET
bracis-28394	283	7	objective	objective	ADJ
bracis-28394	283	8	values	value	NOUN
bracis-28394	283	9	,	,	PUNCT
bracis-28394	283	10	the	the	PRON
bracis-28394	283	11	larger	large	ADJ
bracis-28394	283	12	the	the	DET
bracis-28394	283	13	hypervolume	hypervolume	NOUN
bracis-28394	283	14	,	,	PUNCT
bracis-28394	283	15	the	the	PRON
bracis-28394	283	16	better	well	ADJ
bracis-28394	283	17	the	the	DET
bracis-28394	283	18	obtained	obtain	VERB
bracis-28394	283	19	pareto	pareto	ADJ
bracis-28394	283	20	frontier	frontier	NOUN
bracis-28394	283	21	.	.	PUNCT
bracis-28394	284	1	analyzing	analyze	VERB
bracis-28394	284	2	fig	fig	PROPN
bracis-28394	284	3	.	.	PUNCT
bracis-28394	284	4	 	 	SPACE
bracis-28394	285	1	4	4	NUM
bracis-28394	285	2	,	,	PUNCT
bracis-28394	285	3	we	we	PRON
bracis-28394	285	4	can	can	AUX
bracis-28394	285	5	not	not	PART
bracis-28394	285	6	assume	assume	VERB
bracis-28394	285	7	which	which	PRON
bracis-28394	285	8	multi	multi	ADJ
bracis-28394	285	9	-	-	ADJ
bracis-28394	285	10	objective	objective	ADJ
bracis-28394	285	11	algorithm	algorithm	NOUN
bracis-28394	285	12	got	get	VERB
bracis-28394	285	13	the	the	DET
bracis-28394	285	14	best	good	ADJ
bracis-28394	285	15	results	result	NOUN
bracis-28394	285	16	.	.	PUNCT
bracis-28394	286	1	then	then	ADV
bracis-28394	286	2	we	we	PRON
bracis-28394	286	3	did	do	VERB
bracis-28394	286	4	the	the	DET
bracis-28394	286	5	wilcoxon	wilcoxon	ADJ
bracis-28394	286	6	test	test	NOUN
bracis-28394	286	7	.	.	PUNCT
bracis-28394	287	1	our	our	PRON
bracis-28394	287	2	null	null	ADJ
bracis-28394	287	3	hypothesis	hypothesis	NOUN
bracis-28394	287	4	was	be	AUX
bracis-28394	287	5	that	that	SCONJ
bracis-28394	287	6	the	the	DET
bracis-28394	287	7	hypervolumes	hypervolume	NOUN
bracis-28394	287	8	obtained	obtain	VERB
bracis-28394	287	9	in	in	ADP
bracis-28394	287	10	the	the	DET
bracis-28394	287	11	autommlc	autommlc	NOUN
bracis-28394	287	12	versions	version	NOUN
bracis-28394	287	13	were	be	AUX
bracis-28394	287	14	the	the	DET
bracis-28394	287	15	same	same	ADJ
bracis-28394	287	16	.	.	PUNCT
bracis-28394	288	1	the	the	DET
bracis-28394	288	2	null	null	ADJ
bracis-28394	288	3	hypothesis	hypothesis	NOUN
bracis-28394	288	4	was	be	AUX
bracis-28394	288	5	accepted	accept	VERB
bracis-28394	288	6	for	for	ADP
bracis-28394	288	7	all	all	DET
bracis-28394	288	8	datasets	dataset	NOUN
bracis-28394	288	9	.	.	PUNCT
bracis-28394	289	1	that	that	PRON
bracis-28394	289	2	is	be	AUX
bracis-28394	289	3	,	,	PUNCT
bracis-28394	289	4	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	289	5	)	)	PUNCT
bracis-28394	289	6	and	and	CCONJ
bracis-28394	289	7	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	289	8	)	)	PUNCT
bracis-28394	289	9	had	have	VERB
bracis-28394	289	10	equal	equal	ADJ
bracis-28394	289	11	results	result	NOUN
bracis-28394	289	12	for	for	ADP
bracis-28394	289	13	the	the	DET
bracis-28394	289	14	hypervolume	hypervolume	NOUN
bracis-28394	289	15	.	.	PUNCT
bracis-28394	290	1	the	the	DET
bracis-28394	290	2	pareto	pareto	ADJ
bracis-28394	290	3	frontiers	frontier	NOUN
bracis-28394	290	4	resulting	result	VERB
bracis-28394	290	5	from	from	ADP
bracis-28394	290	6	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	PROPN
bracis-28394	290	7	)	)	PUNCT
bracis-28394	290	8	and	and	CCONJ
bracis-28394	290	9	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	290	10	)	)	PUNCT
bracis-28394	290	11	comprise	comprise	VERB
bracis-28394	290	12	a	a	DET
bracis-28394	290	13	set	set	NOUN
bracis-28394	290	14	of	of	ADP
bracis-28394	290	15	mlc	mlc	PROPN
bracis-28394	290	16	algorithms	algorithms	PROPN
bracis-28394	290	17	,	,	PUNCT
bracis-28394	290	18	one	one	NUM
bracis-28394	290	19	of	of	ADP
bracis-28394	290	20	the	the	DET
bracis-28394	290	21	ten	ten	NUM
bracis-28394	290	22	mlc	mlc	NOUN
bracis-28394	290	23	algorithms	algorithm	NOUN
bracis-28394	290	24	in	in	ADP
bracis-28394	290	25	the	the	DET
bracis-28394	290	26	search	search	NOUN
bracis-28394	290	27	space	space	NOUN
bracis-28394	290	28	(	(	PUNCT
bracis-28394	290	29	sect	sect	NOUN
bracis-28394	290	30	.	.	PUNCT
bracis-28394	290	31	 	 	SPACE
bracis-28394	290	32	3.3	3.3	NUM
bracis-28394	290	33	)	)	PUNCT
bracis-28394	290	34	.	.	PUNCT
bracis-28394	291	1	figure	figure	VERB
bracis-28394	291	2	 	 	SPACE
bracis-28394	291	3	5	5	NUM
bracis-28394	291	4	shows	show	VERB
bracis-28394	291	5	heat	heat	NOUN
bracis-28394	291	6	maps	map	NOUN
bracis-28394	291	7	with	with	ADP
bracis-28394	291	8	the	the	DET
bracis-28394	291	9	occurrences	occurrence	NOUN
bracis-28394	291	10	of	of	ADP
bracis-28394	291	11	each	each	DET
bracis-28394	291	12	mlc	mlc	NOUN
bracis-28394	291	13	algorithm	algorithm	NOUN
bracis-28394	291	14	in	in	ADP
bracis-28394	291	15	the	the	DET
bracis-28394	291	16	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	291	17	)	)	PUNCT
bracis-28394	291	18	and	and	CCONJ
bracis-28394	291	19	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	291	20	)	)	PUNCT
bracis-28394	291	21	solutions	solution	NOUN
bracis-28394	291	22	after	after	ADP
bracis-28394	291	23	running	run	VERB
bracis-28394	291	24	the	the	DET
bracis-28394	291	25	algorithms	algorithm	NOUN
bracis-28394	291	26	with	with	ADP
bracis-28394	291	27	the	the	DET
bracis-28394	291	28	ten	ten	NUM
bracis-28394	291	29	datasets	dataset	NOUN
bracis-28394	291	30	.	.	PUNCT
bracis-28394	292	1	in	in	ADP
bracis-28394	292	2	the	the	DET
bracis-28394	292	3	graphs	graph	NOUN
bracis-28394	292	4	of	of	ADP
bracis-28394	292	5	fig	fig	NOUN
bracis-28394	292	6	.	.	PUNCT
bracis-28394	292	7	 	 	SPACE
bracis-28394	292	8	5	5	NUM
bracis-28394	292	9	,	,	PUNCT
bracis-28394	292	10	there	there	PRON
bracis-28394	292	11	is	be	VERB
bracis-28394	292	12	a	a	DET
bracis-28394	292	13	scale	scale	NOUN
bracis-28394	292	14	difference	difference	NOUN
bracis-28394	292	15	.	.	PUNCT
bracis-28394	293	1	this	this	DET
bracis-28394	293	2	difference	difference	NOUN
bracis-28394	293	3	occurred	occur	VERB
bracis-28394	293	4	because	because	SCONJ
bracis-28394	293	5	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	VERB
bracis-28394	293	6	)	)	PUNCT
bracis-28394	293	7	randomly	randomly	ADV
bracis-28394	293	8	selected	select	VERB
bracis-28394	293	9	from	from	ADP
bracis-28394	293	10	the	the	DET
bracis-28394	293	11	search	search	NOUN
bracis-28394	293	12	space	space	NOUN
bracis-28394	293	13	many	many	ADJ
bracis-28394	293	14	repeated	repeat	VERB
bracis-28394	293	15	mlc	mlc	NOUN
bracis-28394	293	16	algorithms	algorithm	NOUN
bracis-28394	293	17	(	(	PUNCT
bracis-28394	293	18	as	as	ADV
bracis-28394	293	19	well	well	ADV
bracis-28394	293	20	as	as	ADP
bracis-28394	293	21	their	their	PRON
bracis-28394	293	22	hyperparameters	hyperparameter	NOUN
bracis-28394	293	23	)	)	PUNCT
bracis-28394	293	24	,	,	PUNCT
bracis-28394	293	25	which	which	PRON
bracis-28394	293	26	ended	end	VERB
bracis-28394	293	27	up	up	ADP
bracis-28394	293	28	being	be	AUX
bracis-28394	293	29	part	part	NOUN
bracis-28394	293	30	of	of	ADP
bracis-28394	293	31	the	the	DET
bracis-28394	293	32	pareto	pareto	ADJ
bracis-28394	293	33	frontier	frontier	NOUN
bracis-28394	293	34	.	.	PUNCT
bracis-28394	294	1	among	among	ADP
bracis-28394	294	2	the	the	DET
bracis-28394	294	3	most	most	ADV
bracis-28394	294	4	repeatable	repeatable	ADJ
bracis-28394	294	5	mlc	mlc	NOUN
bracis-28394	294	6	algorithms	algorithm	NOUN
bracis-28394	294	7	is	be	AUX
bracis-28394	294	8	brknna	brknna	NOUN
bracis-28394	294	9	,	,	PUNCT
bracis-28394	294	10	followed	follow	VERB
bracis-28394	294	11	by	by	ADP
bracis-28394	294	12	brknnb	brknnb	NOUN
bracis-28394	294	13	.	.	PUNCT
bracis-28394	295	1	except	except	SCONJ
bracis-28394	295	2	for	for	ADP
bracis-28394	295	3	the	the	DET
bracis-28394	295	4	replications	replication	NOUN
bracis-28394	295	5	produced	produce	VERB
bracis-28394	295	6	by	by	ADP
bracis-28394	295	7	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	295	8	)	)	PUNCT
bracis-28394	295	9	,	,	PUNCT
bracis-28394	295	10	both	both	DET
bracis-28394	295	11	methods	method	NOUN
bracis-28394	295	12	produced	produce	VERB
bracis-28394	295	13	frontiers	frontier	NOUN
bracis-28394	295	14	with	with	ADP
bracis-28394	295	15	different	different	ADJ
bracis-28394	295	16	mlc	mlc	NOUN
bracis-28394	295	17	algorithms	algorithm	NOUN
bracis-28394	295	18	.	.	PUNCT
bracis-28394	296	1	in	in	ADP
bracis-28394	296	2	the	the	DET
bracis-28394	296	3	medical	medical	ADJ
bracis-28394	296	4	dataset	dataset	NOUN
bracis-28394	296	5	,	,	PUNCT
bracis-28394	296	6	for	for	ADP
bracis-28394	296	7	example	example	NOUN
bracis-28394	296	8	,	,	PUNCT
bracis-28394	296	9	the	the	DET
bracis-28394	296	10	pareto	pareto	ADJ
bracis-28394	296	11	frontiers	frontier	NOUN
bracis-28394	296	12	resulting	result	VERB
bracis-28394	296	13	from	from	ADP
bracis-28394	296	14	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	296	15	)	)	PUNCT
bracis-28394	296	16	(	(	PUNCT
bracis-28394	296	17	in	in	ADP
bracis-28394	296	18	the	the	DET
bracis-28394	296	19	10	10	NUM
bracis-28394	296	20	-	-	PUNCT
bracis-28394	296	21	folds	fold	NOUN
bracis-28394	296	22	)	)	PUNCT
bracis-28394	296	23	had	have	VERB
bracis-28394	296	24	the	the	DET
bracis-28394	296	25	mlc	mlc	NOUN
bracis-28394	296	26	algorithms	algorithm	NOUN
bracis-28394	296	27	brknna	brknna	NOUN
bracis-28394	296	28	,	,	PUNCT
bracis-28394	296	29	brknnb	brknnb	NOUN
bracis-28394	296	30	,	,	PUNCT
bracis-28394	296	31	br	br	PROPN
bracis-28394	296	32	,	,	PUNCT
bracis-28394	296	33	cc	cc	NOUN
bracis-28394	296	34	,	,	PUNCT
bracis-28394	296	35	rakeld	rakeld	NOUN
bracis-28394	296	36	,	,	PUNCT
bracis-28394	296	37	and	and	CCONJ
bracis-28394	296	38	decision	decision	NOUN
bracis-28394	296	39	tree	tree	NOUN
bracis-28394	296	40	.	.	PUNCT
bracis-28394	297	1	these	these	DET
bracis-28394	297	2	mlc	mlc	PROPN
bracis-28394	297	3	algorithms	algorithm	NOUN
bracis-28394	297	4	also	also	ADV
bracis-28394	297	5	composited	composite	VERB
bracis-28394	297	6	the	the	DET
bracis-28394	297	7	pareto	pareto	ADJ
bracis-28394	297	8	frontiers	frontier	NOUN
bracis-28394	297	9	resulting	result	VERB
bracis-28394	297	10	from	from	ADP
bracis-28394	297	11	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	297	12	)	)	PUNCT
bracis-28394	297	13	for	for	ADP
bracis-28394	297	14	the	the	DET
bracis-28394	297	15	medical	medical	ADJ
bracis-28394	297	16	dataset	dataset	NOUN
bracis-28394	297	17	.	.	PUNCT
bracis-28394	298	1	the	the	DET
bracis-28394	298	2	two	two	NUM
bracis-28394	298	3	versions	version	NOUN
bracis-28394	298	4	of	of	ADP
bracis-28394	298	5	autommlc	autommlc	NOUN
bracis-28394	298	6	never	never	ADV
bracis-28394	298	7	included	include	VERB
bracis-28394	298	8	mltsvm	mltsvm	NOUN
bracis-28394	298	9	and	and	CCONJ
bracis-28394	298	10	mlknn	mlknn	ADJ
bracis-28394	298	11	algorithms	algorithm	NOUN
bracis-28394	298	12	in	in	ADP
bracis-28394	298	13	their	their	PRON
bracis-28394	298	14	solutions	solution	NOUN
bracis-28394	298	15	.	.	PUNCT
bracis-28394	299	1	4.2	4.2	NUM
bracis-28394	299	2	comparison	comparison	NOUN
bracis-28394	299	3	of	of	ADP
bracis-28394	299	4	autommlc	autommlc	NOUN
bracis-28394	299	5	with	with	ADP
bracis-28394	299	6	baselines	baseline	NOUN
bracis-28394	299	7	algorithms	algorithm	VERB
bracis-28394	299	8	the	the	DET
bracis-28394	299	9	friedman	friedman	PROPN
bracis-28394	299	10	test	test	NOUN
bracis-28394	299	11	compared	compare	VERB
bracis-28394	299	12	the	the	DET
bracis-28394	299	13	mlc	mlc	NOUN
bracis-28394	299	14	algorithms	algorithm	NOUN
bracis-28394	299	15	selected	select	VERB
bracis-28394	299	16	by	by	ADP
bracis-28394	299	17	the	the	DET
bracis-28394	299	18	frugality	frugality	NOUN
bracis-28394	299	19	score	score	NOUN
bracis-28394	299	20	of	of	ADP
bracis-28394	299	21	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	299	22	)	)	PUNCT
bracis-28394	299	23	and	and	CCONJ
bracis-28394	299	24	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	299	25	)	)	PUNCT
bracis-28394	299	26	solutions	solution	NOUN
bracis-28394	299	27	with	with	ADP
bracis-28394	299	28	the	the	DET
bracis-28394	299	29	baseline	baseline	ADJ
bracis-28394	299	30	algorithms	algorithm	NOUN
bracis-28394	299	31	to	to	ADP
bracis-28394	299	32	f	f	NOUN
bracis-28394	299	33	-	-	PUNCT
bracis-28394	299	34	score	score	VERB
bracis-28394	299	35	and	and	CCONJ
bracis-28394	299	36	training	training	NOUN
bracis-28394	299	37	time	time	NOUN
bracis-28394	299	38	.	.	PUNCT
bracis-28394	300	1	the	the	DET
bracis-28394	300	2	null	null	ADJ
bracis-28394	300	3	hypothesis	hypothesis	NOUN
bracis-28394	300	4	was	be	AUX
bracis-28394	300	5	that	that	SCONJ
bracis-28394	300	6	the	the	DET
bracis-28394	300	7	mlc	mlc	NOUN
bracis-28394	300	8	algorithms	algorithm	NOUN
bracis-28394	300	9	presented	present	VERB
bracis-28394	300	10	equal	equal	ADJ
bracis-28394	300	11	performances	performance	NOUN
bracis-28394	300	12	.	.	PUNCT
bracis-28394	301	1	the	the	DET
bracis-28394	301	2	null	null	ADJ
bracis-28394	301	3	hypothesis	hypothesis	NOUN
bracis-28394	301	4	was	be	AUX
bracis-28394	301	5	rejected	reject	VERB
bracis-28394	301	6	for	for	ADP
bracis-28394	301	7	the	the	DET
bracis-28394	301	8	test	test	NOUN
bracis-28394	301	9	with	with	ADP
bracis-28394	301	10	f	f	NOUN
bracis-28394	301	11	-	-	PUNCT
bracis-28394	301	12	score	score	NOUN
bracis-28394	301	13	and	and	CCONJ
bracis-28394	301	14	with	with	ADP
bracis-28394	301	15	training	training	NOUN
bracis-28394	301	16	time	time	NOUN
bracis-28394	301	17	.	.	PUNCT
bracis-28394	302	1	fig	fig	NOUN
bracis-28394	302	2	.	.	PUNCT
bracis-28394	303	1	6	6	NUM
bracis-28394	303	2	.	.	X
bracis-28394	303	3	comparison	comparison	NOUN
bracis-28394	303	4	of	of	ADP
bracis-28394	303	5	f	f	PROPN
bracis-28394	303	6	-	-	PUNCT
bracis-28394	303	7	scores	score	NOUN
bracis-28394	303	8	and	and	CCONJ
bracis-28394	303	9	training	training	NOUN
bracis-28394	303	10	times	time	NOUN
bracis-28394	303	11	values	value	NOUN
bracis-28394	303	12	of	of	ADP
bracis-28394	303	13	mlc	mlc	PROPN
bracis-28394	303	14	algorithms	algorithm	NOUN
bracis-28394	303	15	,	,	PUNCT
bracis-28394	303	16	according	accord	VERB
bracis-28394	303	17	to	to	ADP
bracis-28394	303	18	the	the	DET
bracis-28394	303	19	nemenyi	nemenyi	PROPN
bracis-28394	303	20	test	test	NOUN
bracis-28394	303	21	.	.	PUNCT
bracis-28394	304	1	groups	group	NOUN
bracis-28394	304	2	of	of	ADP
bracis-28394	304	3	algorithms	algorithm	NOUN
bracis-28394	304	4	that	that	PRON
bracis-28394	304	5	are	be	AUX
bracis-28394	304	6	not	not	PART
bracis-28394	304	7	significantly	significantly	ADV
bracis-28394	304	8	different	different	ADJ
bracis-28394	304	9	are	be	AUX
bracis-28394	304	10	connected	connect	VERB
bracis-28394	304	11	.	.	PUNCT
bracis-28394	305	1	\(a._{nsga}\	\(a._{nsga}\	NUM
bracis-28394	305	2	)	)	PUNCT
bracis-28394	305	3	is	be	AUX
bracis-28394	305	4	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	305	5	)	)	PUNCT
bracis-28394	305	6	and	and	CCONJ
bracis-28394	305	7	\(a._{mors}\	\(a._{mors}\	NUM
bracis-28394	305	8	)	)	PUNCT
bracis-28394	306	1	is	be	AUX
bracis-28394	306	2	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	306	3	)	)	PUNCT
bracis-28394	306	4	.	.	PUNCT
bracis-28394	307	1	full	full	ADJ
bracis-28394	307	2	size	size	NOUN
bracis-28394	307	3	image	image	NOUN
bracis-28394	307	4	figure	figure	NOUN
bracis-28394	307	5	 	 	SPACE
bracis-28394	307	6	6	6	NUM
bracis-28394	307	7	presents	present	VERB
bracis-28394	307	8	the	the	DET
bracis-28394	307	9	critical	critical	ADJ
bracis-28394	307	10	difference	difference	NOUN
bracis-28394	307	11	diagram	diagram	NOUN
bracis-28394	307	12	for	for	ADP
bracis-28394	307	13	the	the	DET
bracis-28394	307	14	nemenyi	nemenyi	PROPN
bracis-28394	307	15	test	test	NOUN
bracis-28394	307	16	to	to	ADP
bracis-28394	307	17	the	the	DET
bracis-28394	307	18	f	f	NOUN
bracis-28394	307	19	-	-	PUNCT
bracis-28394	307	20	score	score	NOUN
bracis-28394	307	21	.	.	PUNCT
bracis-28394	308	1	the	the	DET
bracis-28394	308	2	analysis	analysis	NOUN
bracis-28394	308	3	indicates	indicate	VERB
bracis-28394	308	4	no	no	DET
bracis-28394	308	5	statistical	statistical	ADJ
bracis-28394	308	6	difference	difference	NOUN
bracis-28394	308	7	between	between	ADP
bracis-28394	308	8	the	the	DET
bracis-28394	308	9	two	two	NUM
bracis-28394	308	10	best	good	ADJ
bracis-28394	308	11	mlc	mlc	NOUN
bracis-28394	308	12	algorithms	algorithm	NOUN
bracis-28394	308	13	:	:	PUNCT
bracis-28394	308	14	algorithms	algorithm	NOUN
bracis-28394	308	15	from	from	ADP
bracis-28394	308	16	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	308	17	)	)	PUNCT
bracis-28394	308	18	and	and	CCONJ
bracis-28394	308	19	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	308	20	)	)	PUNCT
bracis-28394	308	21	.	.	PUNCT
bracis-28394	309	1	figure	figure	NOUN
bracis-28394	309	2	 	 	SPACE
bracis-28394	309	3	6	6	NUM
bracis-28394	309	4	shows	show	VERB
bracis-28394	309	5	the	the	DET
bracis-28394	309	6	critical	critical	ADJ
bracis-28394	309	7	difference	difference	NOUN
bracis-28394	309	8	diagram	diagram	NOUN
bracis-28394	309	9	for	for	ADP
bracis-28394	309	10	the	the	DET
bracis-28394	309	11	nemenyi	nemenyi	PROPN
bracis-28394	309	12	test	test	NOUN
bracis-28394	309	13	to	to	ADP
bracis-28394	309	14	the	the	DET
bracis-28394	309	15	training	training	NOUN
bracis-28394	309	16	time	time	NOUN
bracis-28394	309	17	.	.	PUNCT
bracis-28394	310	1	in	in	ADP
bracis-28394	310	2	this	this	DET
bracis-28394	310	3	test	test	NOUN
bracis-28394	310	4	,	,	PUNCT
bracis-28394	310	5	the	the	DET
bracis-28394	310	6	mlc	mlc	NOUN
bracis-28394	310	7	algorithms	algorithm	VERB
bracis-28394	310	8	with	with	ADP
bracis-28394	310	9	the	the	DET
bracis-28394	310	10	best	good	ADJ
bracis-28394	310	11	training	training	NOUN
bracis-28394	310	12	time	time	NOUN
bracis-28394	310	13	are	be	AUX
bracis-28394	310	14	brknnb	brknnb	ADJ
bracis-28394	310	15	and	and	CCONJ
bracis-28394	310	16	brknna	brknna	NOUN
bracis-28394	310	17	,	,	PUNCT
bracis-28394	310	18	followed	follow	VERB
bracis-28394	310	19	by	by	ADP
bracis-28394	310	20	algorithms	algorithm	NOUN
bracis-28394	310	21	from	from	ADP
bracis-28394	310	22	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	310	23	)	)	PUNCT
bracis-28394	310	24	and	and	CCONJ
bracis-28394	310	25	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	310	26	)	)	PUNCT
bracis-28394	310	27	.	.	PUNCT
bracis-28394	311	1	the	the	DET
bracis-28394	311	2	mlc	mlc	PROPN
bracis-28394	311	3	algorithms	algorithm	NOUN
bracis-28394	311	4	representing	represent	VERB
bracis-28394	311	5	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	311	6	)	)	PUNCT
bracis-28394	311	7	and	and	CCONJ
bracis-28394	311	8	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	311	9	)	)	PUNCT
bracis-28394	311	10	do	do	AUX
bracis-28394	311	11	not	not	PART
bracis-28394	311	12	have	have	VERB
bracis-28394	311	13	statistical	statistical	ADJ
bracis-28394	311	14	differences	difference	NOUN
bracis-28394	311	15	for	for	ADP
bracis-28394	311	16	f	f	NOUN
bracis-28394	311	17	-	-	PUNCT
bracis-28394	311	18	score	score	NOUN
bracis-28394	311	19	and	and	CCONJ
bracis-28394	311	20	training	training	NOUN
bracis-28394	311	21	time	time	NOUN
bracis-28394	311	22	.	.	PUNCT
bracis-28394	312	1	however	however	ADV
bracis-28394	312	2	,	,	PUNCT
bracis-28394	312	3	these	these	DET
bracis-28394	312	4	algorithms	algorithm	NOUN
bracis-28394	312	5	are	be	AUX
bracis-28394	312	6	superior	superior	ADJ
bracis-28394	312	7	to	to	PART
bracis-28394	312	8	baseline	baseline	VERB
bracis-28394	312	9	algorithms	algorithm	NOUN
bracis-28394	312	10	regarding	regard	VERB
bracis-28394	312	11	f	f	NOUN
bracis-28394	312	12	-	-	PUNCT
bracis-28394	312	13	score	score	NOUN
bracis-28394	312	14	and	and	CCONJ
bracis-28394	312	15	superior	superior	ADJ
bracis-28394	312	16	to	to	ADP
bracis-28394	312	17	br	br	PROPN
bracis-28394	312	18	,	,	PUNCT
bracis-28394	312	19	cc	cc	NOUN
bracis-28394	312	20	,	,	PUNCT
bracis-28394	312	21	dt	dt	PROPN
bracis-28394	312	22	,	,	PUNCT
bracis-28394	312	23	mlaram	mlaram	PROPN
bracis-28394	312	24	,	,	PUNCT
bracis-28394	312	25	mlknn	mlknn	ADJ
bracis-28394	312	26	,	,	PUNCT
bracis-28394	312	27	mltsvm	mltsvm	PROPN
bracis-28394	312	28	,	,	PUNCT
bracis-28394	312	29	rakeld	rakeld	NOUN
bracis-28394	312	30	,	,	PUNCT
bracis-28394	312	31	and	and	CCONJ
bracis-28394	312	32	random	random	ADJ
bracis-28394	312	33	forest	forest	NOUN
bracis-28394	312	34	algorithms	algorithm	NOUN
bracis-28394	312	35	regarding	regard	VERB
bracis-28394	312	36	training	training	NOUN
bracis-28394	312	37	time	time	NOUN
bracis-28394	312	38	.	.	PUNCT
bracis-28394	313	1	5	5	NUM
bracis-28394	313	2	conclusions	conclusion	NOUN
bracis-28394	313	3	this	this	DET
bracis-28394	313	4	work	work	NOUN
bracis-28394	313	5	presented	present	VERB
bracis-28394	313	6	the	the	DET
bracis-28394	313	7	autommlc	autommlc	NOUN
bracis-28394	313	8	,	,	PUNCT
bracis-28394	313	9	a	a	DET
bracis-28394	313	10	new	new	ADJ
bracis-28394	313	11	multi	multi	ADJ
bracis-28394	313	12	-	-	ADJ
bracis-28394	313	13	objective	objective	ADJ
bracis-28394	313	14	automl	automl	NOUN
bracis-28394	313	15	method	method	NOUN
bracis-28394	313	16	for	for	ADP
bracis-28394	313	17	mlc	mlc	NOUN
bracis-28394	313	18	,	,	PUNCT
bracis-28394	313	19	which	which	PRON
bracis-28394	313	20	seeks	seek	VERB
bracis-28394	313	21	solutions	solution	NOUN
bracis-28394	313	22	that	that	PRON
bracis-28394	313	23	maximize	maximize	VERB
bracis-28394	313	24	the	the	DET
bracis-28394	313	25	f	f	NOUN
bracis-28394	313	26	-	-	PUNCT
bracis-28394	313	27	score	score	NOUN
bracis-28394	313	28	and	and	CCONJ
bracis-28394	313	29	minimize	minimize	VERB
bracis-28394	313	30	the	the	DET
bracis-28394	313	31	training	training	NOUN
bracis-28394	313	32	time	time	NOUN
bracis-28394	313	33	of	of	ADP
bracis-28394	313	34	the	the	DET
bracis-28394	313	35	classifiers	classifier	NOUN
bracis-28394	313	36	.	.	PUNCT
bracis-28394	314	1	autommlc	autommlc	PROPN
bracis-28394	314	2	was	be	AUX
bracis-28394	314	3	developed	develop	VERB
bracis-28394	314	4	using	use	VERB
bracis-28394	314	5	nsga	nsga	NOUN
bracis-28394	314	6	-	-	PUNCT
bracis-28394	314	7	ii	ii	NOUN
bracis-28394	314	8	and	and	CCONJ
bracis-28394	314	9	mors	mor	VERB
bracis-28394	314	10	optimization	optimization	NOUN
bracis-28394	314	11	algorithms	algorithm	NOUN
bracis-28394	314	12	.	.	PUNCT
bracis-28394	315	1	we	we	PRON
bracis-28394	315	2	ran	run	VERB
bracis-28394	315	3	both	both	DET
bracis-28394	315	4	versions	version	NOUN
bracis-28394	315	5	of	of	ADP
bracis-28394	315	6	the	the	DET
bracis-28394	315	7	autommlc	autommlc	NOUN
bracis-28394	315	8	with	with	ADP
bracis-28394	315	9	ten	ten	NUM
bracis-28394	315	10	datasets	dataset	NOUN
bracis-28394	315	11	,	,	PUNCT
bracis-28394	315	12	the	the	DET
bracis-28394	315	13	same	same	ADJ
bracis-28394	315	14	search	search	NOUN
bracis-28394	315	15	space	space	NOUN
bracis-28394	315	16	,	,	PUNCT
bracis-28394	315	17	and	and	CCONJ
bracis-28394	315	18	the	the	DET
bracis-28394	315	19	settings	setting	NOUN
bracis-28394	315	20	for	for	ADP
bracis-28394	315	21	running	run	VERB
bracis-28394	315	22	.	.	PUNCT
bracis-28394	316	1	the	the	DET
bracis-28394	316	2	wilcoxon	wilcoxon	PROPN
bracis-28394	316	3	test	test	NOUN
bracis-28394	316	4	indicated	indicate	VERB
bracis-28394	316	5	that	that	SCONJ
bracis-28394	316	6	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	316	7	)	)	PUNCT
bracis-28394	316	8	and	and	CCONJ
bracis-28394	316	9	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	316	10	)	)	PUNCT
bracis-28394	316	11	were	be	AUX
bracis-28394	316	12	statistically	statistically	ADV
bracis-28394	316	13	equal	equal	ADJ
bracis-28394	316	14	results	result	NOUN
bracis-28394	316	15	concerning	concern	VERB
bracis-28394	316	16	hypervolume	hypervolume	NOUN
bracis-28394	316	17	,	,	PUNCT
bracis-28394	316	18	but	but	CCONJ
bracis-28394	316	19	\({\textrm{autommlc}_\textrm{nsga}}\	\({\textrm{autommlc}_\textrm{nsga}}\	NOUN
bracis-28394	316	20	)	)	PUNCT
bracis-28394	316	21	was	be	AUX
bracis-28394	316	22	better	well	ADJ
bracis-28394	316	23	runtime	runtime	NOUN
bracis-28394	316	24	than	than	ADP
bracis-28394	316	25	\({\textrm{autommlc}_\textrm{mors}}\	\({\textrm{autommlc}_\textrm{mors}}\	NOUN
bracis-28394	316	26	)	)	PUNCT
bracis-28394	316	27	.	.	PUNCT
bracis-28394	317	1	regarding	regard	VERB
bracis-28394	317	2	baseline	baseline	ADJ
bracis-28394	317	3	algorithms	algorithm	NOUN
bracis-28394	317	4	,	,	PUNCT
bracis-28394	317	5	autommlc	autommlc	VERB
bracis-28394	317	6	versions	version	NOUN
bracis-28394	317	7	were	be	AUX
bracis-28394	317	8	statistically	statistically	ADV
bracis-28394	317	9	better	well	ADJ
bracis-28394	317	10	than	than	ADP
bracis-28394	317	11	the	the	DET
bracis-28394	317	12	f	f	NOUN
bracis-28394	317	13	-	-	PUNCT
bracis-28394	317	14	score	score	NOUN
bracis-28394	317	15	and	and	CCONJ
bracis-28394	317	16	had	have	VERB
bracis-28394	317	17	a	a	DET
bracis-28394	317	18	lower	low	ADJ
bracis-28394	317	19	training	training	NOUN
bracis-28394	317	20	time	time	NOUN
bracis-28394	317	21	than	than	ADP
bracis-28394	317	22	most	most	ADJ
bracis-28394	317	23	baseline	baseline	ADJ
bracis-28394	317	24	algorithms	algorithm	NOUN
bracis-28394	317	25	.	.	PUNCT
bracis-28394	318	1	the	the	DET
bracis-28394	318	2	results	result	NOUN
bracis-28394	318	3	presented	present	VERB
bracis-28394	318	4	are	be	AUX
bracis-28394	318	5	still	still	ADV
bracis-28394	318	6	preliminary	preliminary	ADJ
bracis-28394	318	7	on	on	ADP
bracis-28394	318	8	a	a	DET
bracis-28394	318	9	recent	recent	ADJ
bracis-28394	318	10	research	research	NOUN
bracis-28394	318	11	topic	topic	NOUN
bracis-28394	318	12	that	that	PRON
bracis-28394	318	13	requires	require	VERB
bracis-28394	318	14	further	further	ADJ
bracis-28394	318	15	exploration	exploration	NOUN
bracis-28394	318	16	.	.	PUNCT
bracis-28394	319	1	thus	thus	ADV
bracis-28394	319	2	,	,	PUNCT
bracis-28394	319	3	in	in	ADP
bracis-28394	319	4	future	future	ADJ
bracis-28394	319	5	work	work	NOUN
bracis-28394	319	6	,	,	PUNCT
bracis-28394	319	7	we	we	PRON
bracis-28394	319	8	need	need	VERB
bracis-28394	319	9	to	to	PART
bracis-28394	319	10	expand	expand	VERB
bracis-28394	319	11	the	the	DET
bracis-28394	319	12	analysis	analysis	NOUN
bracis-28394	319	13	of	of	ADP
bracis-28394	319	14	data	datum	NOUN
bracis-28394	319	15	from	from	ADP
bracis-28394	319	16	autommlc	autommlc	NOUN
bracis-28394	319	17	runs	run	NOUN
bracis-28394	319	18	and	and	CCONJ
bracis-28394	319	19	the	the	DET
bracis-28394	319	20	resulting	result	VERB
bracis-28394	319	21	pareto	pareto	ADJ
bracis-28394	319	22	frontiers	frontier	NOUN
bracis-28394	319	23	.	.	PUNCT
bracis-28394	320	1	in	in	ADP
bracis-28394	320	2	addition	addition	NOUN
bracis-28394	320	3	,	,	PUNCT
bracis-28394	320	4	we	we	PRON
bracis-28394	320	5	need	need	VERB
bracis-28394	320	6	to	to	PART
bracis-28394	320	7	study	study	VERB
bracis-28394	320	8	other	other	ADJ
bracis-28394	320	9	ways	way	NOUN
bracis-28394	320	10	to	to	PART
bracis-28394	320	11	select	select	VERB
bracis-28394	320	12	pareto	pareto	ADJ
bracis-28394	320	13	frontier	frontier	NOUN
bracis-28394	320	14	solutions	solution	NOUN
bracis-28394	320	15	to	to	PART
bracis-28394	320	16	compare	compare	VERB
bracis-28394	320	17	with	with	ADP
bracis-28394	320	18	other	other	ADJ
bracis-28394	320	19	solutions	solution	NOUN
bracis-28394	320	20	already	already	ADV
bracis-28394	320	21	available	available	ADJ
bracis-28394	320	22	in	in	ADP
bracis-28394	320	23	the	the	DET
bracis-28394	320	24	literature	literature	NOUN
bracis-28394	320	25	.	.	PUNCT
bracis-28394	321	1	we	we	PRON
bracis-28394	321	2	can	can	AUX
bracis-28394	321	3	expand	expand	VERB
bracis-28394	321	4	the	the	DET
bracis-28394	321	5	comparisons	comparison	NOUN
bracis-28394	321	6	,	,	PUNCT
bracis-28394	321	7	considering	consider	VERB
bracis-28394	321	8	other	other	ADJ
bracis-28394	321	9	automl	automl	NOUN
bracis-28394	321	10	solutions	solution	NOUN
bracis-28394	321	11	as	as	ADP
bracis-28394	321	12	baselines	baseline	NOUN
bracis-28394	321	13	,	,	PUNCT
bracis-28394	321	14	be	be	VERB
bracis-28394	321	15	they	they	PRON
bracis-28394	321	16	mono	mono	NOUN
bracis-28394	321	17	-	-	PUNCT
bracis-28394	321	18	objective	objective	ADJ
bracis-28394	321	19	or	or	CCONJ
bracis-28394	321	20	multi	multi	ADJ
bracis-28394	321	21	-	-	ADJ
bracis-28394	321	22	objective	objective	ADJ
bracis-28394	321	23	optimization	optimization	NOUN
bracis-28394	321	24	.	.	PUNCT
bracis-28394	322	1	we	we	PRON
bracis-28394	322	2	can	can	AUX
bracis-28394	322	3	also	also	ADV
bracis-28394	322	4	produce	produce	VERB
bracis-28394	322	5	new	new	ADJ
bracis-28394	322	6	results	result	NOUN
bracis-28394	322	7	by	by	ADP
bracis-28394	322	8	improving	improve	VERB
bracis-28394	322	9	the	the	DET
bracis-28394	322	10	search	search	NOUN
bracis-28394	322	11	space	space	NOUN
bracis-28394	322	12	.	.	PUNCT
bracis-28394	323	1	for	for	ADP
bracis-28394	323	2	this	this	PRON
bracis-28394	323	3	,	,	PUNCT
bracis-28394	323	4	we	we	PRON
bracis-28394	323	5	need	need	VERB
bracis-28394	323	6	to	to	PART
bracis-28394	323	7	improve	improve	VERB
bracis-28394	323	8	our	our	PRON
bracis-28394	323	9	representation	representation	NOUN
bracis-28394	323	10	of	of	ADP
bracis-28394	323	11	the	the	DET
bracis-28394	323	12	search	search	NOUN
bracis-28394	323	13	space	space	NOUN
bracis-28394	323	14	to	to	PART
bracis-28394	323	15	allow	allow	VERB
bracis-28394	323	16	algorithms	algorithm	NOUN
bracis-28394	323	17	with	with	ADP
bracis-28394	323	18	deeper	deep	ADJ
bracis-28394	323	19	hierarchical	hierarchical	ADJ
bracis-28394	323	20	levels	level	NOUN
bracis-28394	323	21	.	.	PUNCT
bracis-28394	324	1	we	we	PRON
bracis-28394	324	2	can	can	AUX
bracis-28394	324	3	also	also	ADV
bracis-28394	324	4	add	add	VERB
bracis-28394	324	5	more	more	ADJ
bracis-28394	324	6	algorithms	algorithm	NOUN
bracis-28394	324	7	to	to	ADP
bracis-28394	324	8	the	the	DET
bracis-28394	324	9	search	search	NOUN
bracis-28394	324	10	space	space	NOUN
bracis-28394	324	11	,	,	PUNCT
bracis-28394	324	12	like	like	ADP
bracis-28394	324	13	the	the	DET
bracis-28394	324	14	multi	multi	ADJ
bracis-28394	324	15	-	-	ADJ
bracis-28394	324	16	label	label	ADJ
bracis-28394	324	17	extension	extension	NOUN
bracis-28394	324	18	to	to	ADP
bracis-28394	324	19	weka	weka	PROPN
bracis-28394	324	20	(	(	PUNCT
bracis-28394	324	21	meka	meka	NOUN
bracis-28394	324	22	)	)	PUNCT
bracis-28394	324	23	library	library	NOUN
bracis-28394	324	24	algorithms	algorithm	NOUN
bracis-28394	324	25	 	 	SPACE
bracis-28394	325	1	[	[	X
bracis-28394	325	2	11	11	NUM
bracis-28394	325	3	]	]	PUNCT
bracis-28394	325	4	.	.	PUNCT
bracis-28394	326	1	finally	finally	ADV
bracis-28394	326	2	,	,	PUNCT
bracis-28394	326	3	more	more	ADJ
bracis-28394	326	4	objectives	objective	NOUN
bracis-28394	326	5	could	could	AUX
bracis-28394	326	6	be	be	AUX
bracis-28394	326	7	used	use	VERB
bracis-28394	326	8	and	and	CCONJ
bracis-28394	326	9	have	have	VERB
bracis-28394	326	10	different	different	ADJ
bracis-28394	326	11	weights	weight	NOUN
bracis-28394	326	12	in	in	ADP
bracis-28394	326	13	multi	multi	ADJ
bracis-28394	326	14	-	-	ADJ
bracis-28394	326	15	objective	objective	ADJ
bracis-28394	326	16	optimization	optimization	NOUN
bracis-28394	326	17	.	.	PUNCT
bracis-28394	327	1	notes	note	NOUN
bracis-28394	327	2	1.https://mulan.sourceforge.net/datasets-mlc.html	1.https://mulan.sourceforge.net/datasets-mlc.html	NUM
bracis-28394	327	3	.	.	PUNCT
bracis-28394	328	1	2.https://github.com/alinedelvalle/autommlc.git	2.https://github.com/alinedelvalle/autommlc.git	NUM
bracis-28394	328	2	.	.	PUNCT
bracis-28394	329	1	3.https://github.com/alinedelvalle/autommlc/blob/main/bracis_supplementary_material.pdf	3.https://github.com/alinedelvalle/autommlc/blob/main/bracis_supplementary_material.pdf	NUM
bracis-28394	329	2	.	.	PUNCT
bracis-28394	330	1	references	reference	NOUN
bracis-28394	330	2	blank	blank	PROPN
bracis-28394	330	3	,	,	PUNCT
bracis-28394	330	4	j.	j.	PROPN
bracis-28394	330	5	,	,	PUNCT
bracis-28394	330	6	deb	deb	PROPN
bracis-28394	330	7	,	,	PUNCT
bracis-28394	330	8	k.	k.	PROPN
bracis-28394	330	9	:	:	PUNCT
bracis-28394	330	10	pymoo	pymoo	NOUN
bracis-28394	330	11	:	:	PUNCT
bracis-28394	330	12	multi	multi	ADJ
bracis-28394	330	13	-	-	ADJ
bracis-28394	330	14	objective	objective	ADJ
bracis-28394	330	15	optimization	optimization	NOUN
bracis-28394	330	16	in	in	ADP
bracis-28394	330	17	python	python	PROPN
bracis-28394	330	18	.	.	PUNCT
bracis-28394	331	1	ieee	ieee	NOUN
bracis-28394	331	2	access	access	NOUN
bracis-28394	331	3	8	8	NUM
bracis-28394	331	4	,	,	PUNCT
bracis-28394	331	5	89497–89509	89497–89509	NUM
bracis-28394	331	6	(	(	PUNCT
bracis-28394	331	7	2020	2020	NUM
bracis-28394	331	8	)	)	PUNCT
bracis-28394	331	9	article	article	NOUN
bracis-28394	331	10	  	  	SPACE
bracis-28394	331	11	google	google	PROPN
bracis-28394	331	12	scholar	scholar	NOUN
bracis-28394	331	13	  	  	SPACE
bracis-28394	331	14	deb	deb	PROPN
bracis-28394	331	15	,	,	PUNCT
bracis-28394	331	16	k.	k.	PROPN
bracis-28394	331	17	,	,	PUNCT
bracis-28394	331	18	pratap	pratap	PROPN
bracis-28394	331	19	,	,	PUNCT
bracis-28394	331	20	a.	a.	PROPN
bracis-28394	331	21	,	,	PUNCT
bracis-28394	331	22	agarwal	agarwal	PROPN
bracis-28394	331	23	,	,	PUNCT
bracis-28394	331	24	s.	s.	PROPN
bracis-28394	331	25	,	,	PUNCT
bracis-28394	331	26	meyarivan	meyarivan	NOUN
bracis-28394	331	27	,	,	PUNCT
bracis-28394	331	28	t.	t.	PROPN
bracis-28394	331	29	:	:	PUNCT
bracis-28394	331	30	a	a	DET
bracis-28394	331	31	fast	fast	ADJ
bracis-28394	331	32	and	and	CCONJ
bracis-28394	331	33	elitist	elitist	ADJ
bracis-28394	331	34	multiobjective	multiobjective	ADJ
bracis-28394	331	35	genetic	genetic	ADJ
bracis-28394	331	36	algorithm	algorithm	NOUN
bracis-28394	331	37	:	:	PUNCT
bracis-28394	332	1	nsga	nsga	PROPN
bracis-28394	332	2	-	-	PUNCT
bracis-28394	332	3	ii	ii	PROPN
bracis-28394	332	4	.	.	PUNCT
bracis-28394	332	5	ieee	ieee	PROPN
bracis-28394	332	6	trans	trans	PROPN
bracis-28394	332	7	.	.	PUNCT
bracis-28394	332	8	evol	evol	NOUN
bracis-28394	332	9	.	.	PUNCT
bracis-28394	333	1	comput	comput	NOUN
bracis-28394	333	2	.	.	PUNCT
bracis-28394	334	1	6(2	6(2	NUM
bracis-28394	334	2	)	)	PUNCT
bracis-28394	334	3	,	,	PUNCT
bracis-28394	334	4	182–197	182–197	NUM
bracis-28394	334	5	(	(	PUNCT
bracis-28394	334	6	2002	2002	NUM
bracis-28394	334	7	)	)	PUNCT
bracis-28394	334	8	article	article	NOUN
bracis-28394	334	9	  	  	SPACE
bracis-28394	334	10	google	google	PROPN
bracis-28394	334	11	scholar	scholar	NOUN
bracis-28394	334	12	  	  	SPACE
bracis-28394	334	13	deb	deb	PROPN
bracis-28394	334	14	,	,	PUNCT
bracis-28394	334	15	k.	k.	PROPN
bracis-28394	334	16	,	,	PUNCT
bracis-28394	334	17	deb	deb	PROPN
bracis-28394	334	18	,	,	PUNCT
bracis-28394	334	19	k.	k.	PROPN
bracis-28394	334	20	:	:	PUNCT
bracis-28394	334	21	multi	multi	ADJ
bracis-28394	334	22	-	-	ADJ
bracis-28394	334	23	objective	objective	ADJ
bracis-28394	334	24	optimization	optimization	NOUN
bracis-28394	334	25	,	,	PUNCT
bracis-28394	334	26	pp	pp	ADJ
bracis-28394	334	27	.	.	PUNCT
bracis-28394	335	1	403–449	403–449	NUM
bracis-28394	335	2	.	.	PUNCT
bracis-28394	336	1	springer	springer	PROPN
bracis-28394	336	2	,	,	PUNCT
bracis-28394	336	3	us	us	PROPN
bracis-28394	336	4	,	,	PUNCT
bracis-28394	336	5	boston	boston	PROPN
bracis-28394	336	6	,	,	PUNCT
bracis-28394	336	7	ma	ma	PROPN
bracis-28394	336	8	(	(	PUNCT
bracis-28394	336	9	2014	2014	NUM
bracis-28394	336	10	)	)	PUNCT
bracis-28394	336	11	google	google	NOUN
bracis-28394	336	12	scholar	scholar	NOUN
bracis-28394	336	13	  	  	SPACE
bracis-28394	336	14	demšar	demšar	NOUN
bracis-28394	336	15	,	,	PUNCT
bracis-28394	336	16	j.	j.	PROPN
bracis-28394	336	17	:	:	PUNCT
bracis-28394	336	18	statistical	statistical	ADJ
bracis-28394	336	19	comparisons	comparison	NOUN
bracis-28394	336	20	of	of	ADP
bracis-28394	336	21	classifiers	classifier	NOUN
bracis-28394	336	22	over	over	ADP
bracis-28394	336	23	multiple	multiple	ADJ
bracis-28394	336	24	data	datum	NOUN
bracis-28394	336	25	sets	set	NOUN
bracis-28394	336	26	.	.	PUNCT
bracis-28394	337	1	j.	j.	PROPN
bracis-28394	337	2	mach	mach	PROPN
bracis-28394	337	3	.	.	PUNCT
bracis-28394	338	1	learn	learn	VERB
bracis-28394	338	2	.	.	PUNCT
bracis-28394	339	1	res	re	NOUN
bracis-28394	339	2	.	.	PROPN
bracis-28394	340	1	7	7	NUM
bracis-28394	340	2	,	,	PUNCT
bracis-28394	340	3	1–30	1–30	PROPN
bracis-28394	340	4	(	(	PUNCT
bracis-28394	340	5	2006	2006	NUM
bracis-28394	340	6	)	)	PUNCT
bracis-28394	340	7	mathscinet	mathscinet	NOUN
bracis-28394	340	8	  	  	SPACE
bracis-28394	340	9	math	math	NOUN
bracis-28394	340	10	  	  	SPACE
bracis-28394	340	11	google	google	PROPN
bracis-28394	340	12	scholar	scholar	NOUN
bracis-28394	340	13	  	  	SPACE
bracis-28394	340	14	evchenko	evchenko	NOUN
bracis-28394	340	15	,	,	PUNCT
bracis-28394	340	16	m.m	m.m	PROPN
bracis-28394	340	17	.	.	PROPN
bracis-28394	340	18	:	:	PUNCT
bracis-28394	341	1	frugal	frugal	ADJ
bracis-28394	341	2	learning	learning	NOUN
bracis-28394	341	3	:	:	PUNCT
bracis-28394	341	4	applying	apply	VERB
bracis-28394	341	5	machine	machine	NOUN
bracis-28394	341	6	learning	learn	VERB
bracis-28394	341	7	with	with	ADP
bracis-28394	341	8	minimal	minimal	ADJ
bracis-28394	341	9	resources	resource	NOUN
bracis-28394	341	10	(	(	PUNCT
bracis-28394	341	11	2016	2016	NUM
bracis-28394	341	12	)	)	PUNCT
bracis-28394	341	13	google	google	PROPN
bracis-28394	341	14	scholar	scholar	NOUN
bracis-28394	341	15	  	  	SPACE
bracis-28394	341	16	fonseca	fonseca	PROPN
bracis-28394	341	17	,	,	PUNCT
bracis-28394	341	18	c.	c.	PROPN
bracis-28394	341	19	,	,	PUNCT
bracis-28394	341	20	paquete	paquete	PROPN
bracis-28394	341	21	,	,	PUNCT
bracis-28394	341	22	l.	l.	PROPN
bracis-28394	341	23	,	,	PUNCT
bracis-28394	341	24	lopez	lopez	NOUN
bracis-28394	341	25	-	-	PUNCT
bracis-28394	341	26	ibanez	ibanez	NOUN
bracis-28394	341	27	,	,	PUNCT
bracis-28394	341	28	m.	m.	NOUN
bracis-28394	341	29	:	:	PUNCT
bracis-28394	341	30	an	an	DET
bracis-28394	341	31	improved	improved	ADJ
bracis-28394	341	32	dimension	dimension	NOUN
bracis-28394	341	33	-	-	PUNCT
bracis-28394	341	34	sweep	sweep	NOUN
bracis-28394	341	35	algorithm	algorithm	NOUN
bracis-28394	341	36	for	for	ADP
bracis-28394	341	37	the	the	DET
bracis-28394	341	38	hypervolume	hypervolume	NOUN
bracis-28394	341	39	indicator	indicator	NOUN
bracis-28394	341	40	.	.	PUNCT
bracis-28394	342	1	in	in	ADP
bracis-28394	342	2	:	:	PUNCT
bracis-28394	342	3	2006	2006	NUM
bracis-28394	342	4	ieee	ieee	PROPN
bracis-28394	342	5	international	international	ADJ
bracis-28394	342	6	conference	conference	NOUN
bracis-28394	342	7	on	on	ADP
bracis-28394	342	8	evolutionary	evolutionary	ADJ
bracis-28394	342	9	computation	computation	NOUN
bracis-28394	342	10	,	,	PUNCT
bracis-28394	342	11	pp	pp	ADP
bracis-28394	342	12	.	.	PUNCT
bracis-28394	342	13	1157–1163	1157–1163	NUM
bracis-28394	342	14	(	(	PUNCT
bracis-28394	342	15	2006	2006	NUM
bracis-28394	342	16	)	)	PUNCT
bracis-28394	342	17	google	google	PROPN
bracis-28394	342	18	scholar	scholar	NOUN
bracis-28394	342	19	  	  	SPACE
bracis-28394	342	20	he	he	PRON
bracis-28394	342	21	,	,	PUNCT
bracis-28394	342	22	x.	x.	PROPN
bracis-28394	342	23	,	,	PUNCT
bracis-28394	342	24	zhao	zhao	PROPN
bracis-28394	342	25	,	,	PUNCT
bracis-28394	342	26	k.	k.	PROPN
bracis-28394	342	27	,	,	PUNCT
bracis-28394	342	28	chu	chu	PROPN
bracis-28394	342	29	,	,	PUNCT
bracis-28394	342	30	x.	x.	NOUN
bracis-28394	342	31	:	:	PUNCT
bracis-28394	342	32	automl	automl	ADJ
bracis-28394	342	33	:	:	PUNCT
bracis-28394	342	34	a	a	DET
bracis-28394	342	35	survey	survey	NOUN
bracis-28394	342	36	of	of	ADP
bracis-28394	342	37	the	the	DET
bracis-28394	342	38	state	state	NOUN
bracis-28394	342	39	-	-	PUNCT
bracis-28394	342	40	of	of	ADP
bracis-28394	342	41	-	-	PUNCT
bracis-28394	342	42	the	the	DET
bracis-28394	342	43	-	-	PUNCT
bracis-28394	342	44	art	art	NOUN
bracis-28394	342	45	.	.	PUNCT
bracis-28394	343	1	knowl.-based	knowl.-based	PROPN
bracis-28394	343	2	syst	syst	PROPN
bracis-28394	343	3	.	.	PUNCT
bracis-28394	343	4	212	212	NUM
bracis-28394	343	5	,	,	PUNCT
bracis-28394	343	6	106622	106622	NUM
bracis-28394	343	7	(	(	PUNCT
bracis-28394	343	8	2021	2021	NUM
bracis-28394	343	9	)	)	PUNCT
bracis-28394	343	10	article	article	NOUN
bracis-28394	343	11	  	  	SPACE
bracis-28394	343	12	google	google	PROPN
bracis-28394	343	13	scholar	scholar	NOUN
bracis-28394	343	14	  	  	SPACE
bracis-28394	343	15	karl	karl	PROPN
bracis-28394	343	16	,	,	PUNCT
bracis-28394	343	17	f.	f.	PROPN
bracis-28394	343	18	,	,	PUNCT
bracis-28394	343	19	et	et	PROPN
bracis-28394	343	20	al	al	PROPN
bracis-28394	343	21	.	.	PUNCT
bracis-28394	343	22	:	:	PUNCT
bracis-28394	344	1	multi	multi	ADJ
bracis-28394	344	2	-	-	ADJ
bracis-28394	344	3	objective	objective	ADJ
bracis-28394	344	4	hyperparameter	hyperparameter	NOUN
bracis-28394	344	5	optimization	optimization	NOUN
bracis-28394	344	6	an	an	DET
bracis-28394	344	7	overview	overview	NOUN
bracis-28394	344	8	(	(	PUNCT
bracis-28394	344	9	2022	2022	NUM
bracis-28394	344	10	)	)	PUNCT
bracis-28394	344	11	google	google	NOUN
bracis-28394	344	12	scholar	scholar	NOUN
bracis-28394	344	13	  	  	SPACE
bracis-28394	344	14	madjarov	madjarov	NOUN
bracis-28394	344	15	,	,	PUNCT
bracis-28394	344	16	g.	g.	PROPN
bracis-28394	344	17	,	,	PUNCT
bracis-28394	344	18	kocev	kocev	PROPN
bracis-28394	344	19	,	,	PUNCT
bracis-28394	344	20	d.	d.	PROPN
bracis-28394	344	21	,	,	PUNCT
bracis-28394	344	22	gjorgjevikj	gjorgjevikj	PROPN
bracis-28394	344	23	,	,	PUNCT
bracis-28394	344	24	d.	d.	PROPN
bracis-28394	344	25	,	,	PUNCT
bracis-28394	344	26	džeroski	džeroski	PROPN
bracis-28394	344	27	,	,	PUNCT
bracis-28394	344	28	s.	s.	PROPN
bracis-28394	344	29	:	:	PUNCT
bracis-28394	344	30	an	an	DET
bracis-28394	344	31	extensive	extensive	ADJ
bracis-28394	344	32	experimental	experimental	ADJ
bracis-28394	344	33	comparison	comparison	NOUN
bracis-28394	344	34	of	of	ADP
bracis-28394	344	35	methods	method	NOUN
bracis-28394	344	36	for	for	ADP
bracis-28394	344	37	multi	multi	ADJ
bracis-28394	344	38	-	-	ADJ
bracis-28394	344	39	label	label	ADJ
bracis-28394	344	40	learning	learning	NOUN
bracis-28394	344	41	.	.	PUNCT
bracis-28394	345	1	pattern	pattern	NOUN
bracis-28394	345	2	recogn	recogn	PROPN
bracis-28394	345	3	.	.	PUNCT
bracis-28394	346	1	45(9	45(9	NUM
bracis-28394	346	2	)	)	PUNCT
bracis-28394	346	3	,	,	PUNCT
bracis-28394	346	4	3084–3104	3084–3104	X
bracis-28394	346	5	(	(	PUNCT
bracis-28394	346	6	2012	2012	NUM
bracis-28394	346	7	)	)	PUNCT
bracis-28394	346	8	,	,	PUNCT
bracis-28394	346	9	best	good	ADJ
bracis-28394	346	10	papers	paper	NOUN
bracis-28394	346	11	of	of	ADP
bracis-28394	346	12	iberian	iberian	ADJ
bracis-28394	346	13	conference	conference	NOUN
bracis-28394	346	14	on	on	ADP
bracis-28394	346	15	pattern	pattern	NOUN
bracis-28394	346	16	recognition	recognition	NOUN
bracis-28394	346	17	and	and	CCONJ
bracis-28394	346	18	image	image	NOUN
bracis-28394	346	19	analysis	analysis	NOUN
bracis-28394	346	20	(	(	PUNCT
bracis-28394	346	21	ibpria’2011	ibpria’2011	NOUN
bracis-28394	346	22	)	)	PUNCT
bracis-28394	346	23	google	google	PROPN
bracis-28394	346	24	scholar	scholar	NOUN
bracis-28394	346	25	  	  	SPACE
bracis-28394	346	26	pedregosa	pedregosa	PROPN
bracis-28394	346	27	,	,	PUNCT
bracis-28394	346	28	f.	f.	PROPN
bracis-28394	346	29	,	,	PUNCT
bracis-28394	346	30	et	et	PROPN
bracis-28394	346	31	al	al	PROPN
bracis-28394	346	32	.	.	PROPN
bracis-28394	346	33	:	:	PUNCT
bracis-28394	347	1	scikit	scikit	NOUN
bracis-28394	347	2	-	-	PUNCT
bracis-28394	347	3	learn	learn	VERB
bracis-28394	347	4	:	:	PUNCT
bracis-28394	347	5	machine	machine	NOUN
bracis-28394	347	6	learning	learning	NOUN
bracis-28394	347	7	in	in	ADP
bracis-28394	347	8	python	python	PROPN
bracis-28394	347	9	.	.	PUNCT
bracis-28394	348	1	j.	j.	PROPN
bracis-28394	348	2	mach	mach	PROPN
bracis-28394	348	3	.	.	PUNCT
bracis-28394	349	1	learn	learn	VERB
bracis-28394	349	2	.	.	PUNCT
bracis-28394	350	1	res	re	NOUN
bracis-28394	350	2	.	.	PROPN
bracis-28394	351	1	12	12	NUM
bracis-28394	351	2	,	,	PUNCT
bracis-28394	351	3	2825–2830	2825–2830	NUM
bracis-28394	351	4	(	(	PUNCT
bracis-28394	351	5	2011	2011	NUM
bracis-28394	351	6	)	)	PUNCT
bracis-28394	351	7	mathscinet	mathscinet	NOUN
bracis-28394	351	8	  	  	SPACE
bracis-28394	351	9	math	math	NOUN
bracis-28394	351	10	  	  	SPACE
bracis-28394	351	11	google	google	PROPN
bracis-28394	351	12	scholar	scholar	NOUN
bracis-28394	351	13	  	  	SPACE
bracis-28394	351	14	read	read	NOUN
bracis-28394	351	15	,	,	PUNCT
bracis-28394	351	16	j.	j.	PROPN
bracis-28394	351	17	,	,	PUNCT
bracis-28394	351	18	reutemann	reutemann	PROPN
bracis-28394	351	19	,	,	PUNCT
bracis-28394	351	20	p.	p.	NOUN
bracis-28394	351	21	,	,	PUNCT
bracis-28394	351	22	pfahringer	pfahringer	NOUN
bracis-28394	351	23	,	,	PUNCT
bracis-28394	351	24	b.	b.	PROPN
bracis-28394	351	25	,	,	PUNCT
bracis-28394	351	26	holmes	holmes	PROPN
bracis-28394	351	27	,	,	PUNCT
bracis-28394	351	28	g.	g.	PROPN
bracis-28394	351	29	:	:	PUNCT
bracis-28394	351	30	meka	meka	PROPN
bracis-28394	351	31	:	:	PUNCT
bracis-28394	351	32	a	a	DET
bracis-28394	351	33	multi	multi	ADJ
bracis-28394	351	34	-	-	ADJ
bracis-28394	351	35	label	label	ADJ
bracis-28394	351	36	/	/	SYM
bracis-28394	351	37	multi	multi	ADJ
bracis-28394	351	38	-	-	ADJ
bracis-28394	351	39	target	target	NOUN
bracis-28394	351	40	extension	extension	NOUN
bracis-28394	351	41	to	to	ADP
bracis-28394	351	42	weka	weka	PROPN
bracis-28394	351	43	.	.	PUNCT
bracis-28394	352	1	j.	j.	PROPN
bracis-28394	352	2	mach	mach	PROPN
bracis-28394	352	3	.	.	PUNCT
bracis-28394	353	1	learn	learn	VERB
bracis-28394	353	2	.	.	PUNCT
bracis-28394	354	1	res	re	NOUN
bracis-28394	354	2	.	.	PUNCT
bracis-28394	355	1	17(21	17(21	NUM
bracis-28394	355	2	)	)	PUNCT
bracis-28394	355	3	,	,	PUNCT
bracis-28394	355	4	1–5	1–5	X
bracis-28394	355	5	(	(	PUNCT
bracis-28394	355	6	2016	2016	NUM
bracis-28394	355	7	)	)	PUNCT
bracis-28394	355	8	mathscinet	mathscinet	NOUN
bracis-28394	355	9	  	  	SPACE
bracis-28394	355	10	math	math	NOUN
bracis-28394	355	11	  	  	SPACE
bracis-28394	355	12	google	google	PROPN
bracis-28394	355	13	scholar	scholar	NOUN
bracis-28394	355	14	  	  	SPACE
bracis-28394	355	15	de	de	X
bracis-28394	355	16	sá	sá	PROPN
bracis-28394	355	17	,	,	PUNCT
bracis-28394	355	18	a.g.c	a.g.c	PROPN
bracis-28394	355	19	.	.	PROPN
bracis-28394	355	20	,	,	PUNCT
bracis-28394	355	21	freitas	freitas	PROPN
bracis-28394	355	22	,	,	PUNCT
bracis-28394	355	23	a.a	a.a	PROPN
bracis-28394	355	24	.	.	PROPN
bracis-28394	355	25	,	,	PUNCT
bracis-28394	355	26	pappa	pappa	PROPN
bracis-28394	355	27	,	,	PUNCT
bracis-28394	355	28	g.l	g.l	PROPN
bracis-28394	355	29	.	.	PROPN
bracis-28394	355	30	:	:	PUNCT
bracis-28394	355	31	automated	automate	VERB
bracis-28394	355	32	selection	selection	NOUN
bracis-28394	355	33	and	and	CCONJ
bracis-28394	355	34	configuration	configuration	NOUN
bracis-28394	355	35	of	of	ADP
bracis-28394	355	36	multi	multi	ADJ
bracis-28394	355	37	-	-	ADJ
bracis-28394	355	38	label	label	ADJ
bracis-28394	355	39	classification	classification	NOUN
bracis-28394	355	40	algorithms	algorithm	NOUN
bracis-28394	355	41	with	with	ADP
bracis-28394	355	42	grammar	grammar	NOUN
bracis-28394	355	43	-	-	PUNCT
bracis-28394	355	44	based	base	VERB
bracis-28394	355	45	genetic	genetic	ADJ
bracis-28394	355	46	programming	programming	NOUN
bracis-28394	355	47	.	.	PUNCT
bracis-28394	356	1	in	in	ADP
bracis-28394	356	2	:	:	PUNCT
bracis-28394	356	3	auger	auger	NOUN
bracis-28394	356	4	,	,	PUNCT
bracis-28394	356	5	a.	a.	PROPN
bracis-28394	356	6	,	,	PUNCT
bracis-28394	356	7	fonseca	fonseca	PROPN
bracis-28394	356	8	,	,	PUNCT
bracis-28394	356	9	c.m	c.m	PROPN
bracis-28394	356	10	.	.	PROPN
bracis-28394	356	11	,	,	PUNCT
bracis-28394	356	12	lourenço	lourenço	ADJ
bracis-28394	356	13	,	,	PUNCT
bracis-28394	356	14	n.	n.	NOUN
bracis-28394	356	15	,	,	PUNCT
bracis-28394	356	16	machado	machado	PROPN
bracis-28394	356	17	,	,	PUNCT
bracis-28394	356	18	p.	p.	PROPN
bracis-28394	356	19	,	,	PUNCT
bracis-28394	356	20	paquete	paquete	PROPN
bracis-28394	356	21	,	,	PUNCT
bracis-28394	356	22	l.	l.	PROPN
bracis-28394	356	23	,	,	PUNCT
bracis-28394	356	24	whitley	whitley	PROPN
bracis-28394	356	25	,	,	PUNCT
bracis-28394	356	26	d.	d.	PROPN
bracis-28394	356	27	(	(	PUNCT
bracis-28394	356	28	eds	eds	PROPN
bracis-28394	356	29	.	.	PUNCT
bracis-28394	356	30	)	)	PUNCT
bracis-28394	357	1	parallel	parallel	ADJ
bracis-28394	357	2	problem	problem	NOUN
bracis-28394	357	3	solving	solve	VERB
bracis-28394	357	4	from	from	ADP
bracis-28394	357	5	nature	nature	NOUN
bracis-28394	357	6	ppsn	ppsn	PROPN
bracis-28394	357	7	xv	xv	PROPN
bracis-28394	357	8	,	,	PUNCT
bracis-28394	357	9	pp	pp	ADJ
bracis-28394	357	10	.	.	PUNCT
bracis-28394	358	1	308–320	308–320	NUM
bracis-28394	358	2	.	.	PUNCT
bracis-28394	359	1	springer	springer	NOUN
bracis-28394	359	2	international	international	ADJ
bracis-28394	359	3	publishing	publishing	NOUN
bracis-28394	359	4	,	,	PUNCT
bracis-28394	359	5	cham	cham	PROPN
bracis-28394	359	6	(	(	PUNCT
bracis-28394	359	7	2018	2018	NUM
bracis-28394	359	8	)	)	PUNCT
bracis-28394	359	9	google	google	PROPN
bracis-28394	359	10	scholar	scholar	NOUN
bracis-28394	359	11	  	  	SPACE
bracis-28394	359	12	de	de	X
bracis-28394	359	13	sá	sá	PROPN
bracis-28394	359	14	,	,	PUNCT
bracis-28394	359	15	a.g.c	a.g.c	PROPN
bracis-28394	359	16	.	.	PROPN
bracis-28394	359	17	,	,	PUNCT
bracis-28394	359	18	pappa	pappa	PROPN
bracis-28394	359	19	,	,	PUNCT
bracis-28394	359	20	g.l	g.l	PROPN
bracis-28394	359	21	.	.	PROPN
bracis-28394	359	22	,	,	PUNCT
bracis-28394	359	23	freitas	freitas	PROPN
bracis-28394	359	24	,	,	PUNCT
bracis-28394	359	25	a.a	a.a	PROPN
bracis-28394	359	26	.	.	PROPN
bracis-28394	359	27	:	:	PUNCT
bracis-28394	359	28	towards	towards	ADP
bracis-28394	359	29	a	a	DET
bracis-28394	359	30	method	method	NOUN
bracis-28394	359	31	for	for	ADP
bracis-28394	359	32	automatically	automatically	ADV
bracis-28394	359	33	selecting	select	VERB
bracis-28394	359	34	and	and	CCONJ
bracis-28394	359	35	configuring	configure	VERB
bracis-28394	359	36	multi	multi	ADJ
bracis-28394	359	37	-	-	ADJ
bracis-28394	359	38	label	label	ADJ
bracis-28394	359	39	classification	classification	NOUN
bracis-28394	359	40	algorithms	algorithm	NOUN
bracis-28394	359	41	.	.	PUNCT
bracis-28394	360	1	in	in	ADP
bracis-28394	360	2	:	:	PUNCT
bracis-28394	360	3	proceedings	proceeding	NOUN
bracis-28394	360	4	of	of	ADP
bracis-28394	360	5	the	the	DET
bracis-28394	360	6	genetic	genetic	ADJ
bracis-28394	360	7	and	and	CCONJ
bracis-28394	360	8	evolutionary	evolutionary	ADJ
bracis-28394	360	9	computation	computation	NOUN
bracis-28394	360	10	conference	conference	NOUN
bracis-28394	360	11	companion	companion	NOUN
bracis-28394	360	12	,	,	PUNCT
bracis-28394	360	13	pp	pp	ADJ
bracis-28394	360	14	.	.	PUNCT
bracis-28394	360	15	1125–1132	1125–1132	NUM
bracis-28394	360	16	.	.	PUNCT
bracis-28394	360	17	gecco	gecco	PROPN
bracis-28394	360	18	2017	2017	NUM
bracis-28394	360	19	,	,	PUNCT
bracis-28394	360	20	association	association	NOUN
bracis-28394	360	21	for	for	ADP
bracis-28394	360	22	computing	computing	NOUN
bracis-28394	360	23	machinery	machinery	NOUN
bracis-28394	360	24	,	,	PUNCT
bracis-28394	360	25	new	new	PROPN
bracis-28394	360	26	york	york	PROPN
bracis-28394	360	27	,	,	PUNCT
bracis-28394	360	28	ny	ny	PROPN
bracis-28394	360	29	,	,	PUNCT
bracis-28394	360	30	usa	usa	PROPN
bracis-28394	360	31	(	(	PUNCT
bracis-28394	360	32	2017	2017	NUM
bracis-28394	360	33	)	)	PUNCT
bracis-28394	360	34	google	google	PROPN
bracis-28394	360	35	scholar	scholar	NOUN
bracis-28394	360	36	  	  	SPACE
bracis-28394	360	37	de	de	X
bracis-28394	360	38	sá	sá	PROPN
bracis-28394	360	39	,	,	PUNCT
bracis-28394	360	40	a.g.c	a.g.c	PROPN
bracis-28394	360	41	.	.	PROPN
bracis-28394	360	42	,	,	PUNCT
bracis-28394	360	43	pimenta	pimenta	PROPN
bracis-28394	360	44	,	,	PUNCT
bracis-28394	360	45	c.g	c.g	PROPN
bracis-28394	360	46	.	.	PROPN
bracis-28394	360	47	,	,	PUNCT
bracis-28394	360	48	pappa	pappa	PROPN
bracis-28394	360	49	,	,	PUNCT
bracis-28394	360	50	g.l	g.l	PROPN
bracis-28394	360	51	.	.	PROPN
bracis-28394	360	52	,	,	PUNCT
bracis-28394	360	53	freitas	freitas	PROPN
bracis-28394	360	54	,	,	PUNCT
bracis-28394	360	55	a.a	a.a	PROPN
bracis-28394	360	56	.	.	PROPN
bracis-28394	360	57	:	:	PUNCT
bracis-28394	361	1	a	a	DET
bracis-28394	361	2	robust	robust	ADJ
bracis-28394	361	3	experimental	experimental	ADJ
bracis-28394	361	4	evaluation	evaluation	NOUN
bracis-28394	361	5	of	of	ADP
bracis-28394	361	6	automated	automate	VERB
bracis-28394	361	7	multi	multi	ADJ
bracis-28394	361	8	-	-	ADJ
bracis-28394	361	9	label	label	ADJ
bracis-28394	361	10	classification	classification	NOUN
bracis-28394	361	11	methods	method	NOUN
bracis-28394	361	12	.	.	PUNCT
bracis-28394	362	1	in	in	ADP
bracis-28394	362	2	:	:	PUNCT
bracis-28394	362	3	proceedings	proceeding	NOUN
bracis-28394	362	4	of	of	ADP
bracis-28394	362	5	the	the	DET
bracis-28394	362	6	2020	2020	NUM
bracis-28394	362	7	genetic	genetic	ADJ
bracis-28394	362	8	and	and	CCONJ
bracis-28394	362	9	evolutionary	evolutionary	ADJ
bracis-28394	362	10	computation	computation	NOUN
bracis-28394	362	11	conference	conference	NOUN
bracis-28394	362	12	,	,	PUNCT
bracis-28394	362	13	pp	pp	X
bracis-28394	362	14	.	.	PUNCT
bracis-28394	363	1	175–183	175–183	NUM
bracis-28394	363	2	.	.	PUNCT
bracis-28394	363	3	gecco	gecco	PROPN
bracis-28394	363	4	2020	2020	NUM
bracis-28394	363	5	,	,	PUNCT
bracis-28394	363	6	association	association	NOUN
bracis-28394	363	7	for	for	ADP
bracis-28394	363	8	computing	compute	VERB
bracis-28394	363	9	machinery	machinery	NOUN
bracis-28394	363	10	,	,	PUNCT
bracis-28394	363	11	new	new	PROPN
bracis-28394	363	12	york	york	PROPN
bracis-28394	363	13	,	,	PUNCT
bracis-28394	363	14	ny	ny	PROPN
bracis-28394	363	15	,	,	PUNCT
bracis-28394	363	16	usa	usa	PROPN
bracis-28394	363	17	(	(	PUNCT
bracis-28394	363	18	2020	2020	NUM
bracis-28394	363	19	)	)	PUNCT
bracis-28394	363	20	google	google	PROPN
bracis-28394	363	21	scholar	scholar	NOUN
bracis-28394	363	22	  	  	SPACE
bracis-28394	363	23	sechidis	sechidi	NOUN
bracis-28394	363	24	,	,	PUNCT
bracis-28394	363	25	k.	k.	PROPN
bracis-28394	363	26	,	,	PUNCT
bracis-28394	363	27	tsoumakas	tsoumakas	PROPN
bracis-28394	363	28	,	,	PUNCT
bracis-28394	363	29	g.	g.	PROPN
bracis-28394	363	30	,	,	PUNCT
bracis-28394	363	31	vlahavas	vlahavas	PROPN
bracis-28394	363	32	,	,	PUNCT
bracis-28394	363	33	i.	i.	NOUN
bracis-28394	363	34	:	:	PUNCT
bracis-28394	363	35	on	on	ADP
bracis-28394	363	36	the	the	DET
bracis-28394	363	37	stratification	stratification	NOUN
bracis-28394	363	38	of	of	ADP
bracis-28394	363	39	multi	multi	ADJ
bracis-28394	363	40	-	-	ADJ
bracis-28394	363	41	label	label	ADJ
bracis-28394	363	42	data	datum	NOUN
bracis-28394	363	43	.	.	PUNCT
bracis-28394	364	1	in	in	ADP
bracis-28394	364	2	:	:	PUNCT
bracis-28394	364	3	gunopulos	gunopulo	NOUN
bracis-28394	364	4	,	,	PUNCT
bracis-28394	364	5	d.	d.	PROPN
bracis-28394	364	6	,	,	PUNCT
bracis-28394	364	7	hofmann	hofmann	PROPN
bracis-28394	364	8	,	,	PUNCT
bracis-28394	364	9	t.	t.	PROPN
bracis-28394	364	10	,	,	PUNCT
bracis-28394	364	11	malerba	malerba	PROPN
bracis-28394	364	12	,	,	PUNCT
bracis-28394	364	13	d.	d.	PROPN
bracis-28394	364	14	,	,	PUNCT
bracis-28394	364	15	vazirgiannis	vazirgiannis	PROPN
bracis-28394	364	16	,	,	PUNCT
bracis-28394	364	17	m.	m.	NOUN
bracis-28394	364	18	(	(	PUNCT
bracis-28394	364	19	eds	ed	NOUN
bracis-28394	364	20	.	.	PUNCT
bracis-28394	364	21	)	)	PUNCT
bracis-28394	364	22	machine	machine	NOUN
bracis-28394	364	23	learning	learning	NOUN
bracis-28394	364	24	and	and	CCONJ
bracis-28394	364	25	knowledge	knowledge	NOUN
bracis-28394	364	26	discovery	discovery	NOUN
bracis-28394	364	27	in	in	ADP
bracis-28394	364	28	databases	database	NOUN
bracis-28394	364	29	,	,	PUNCT
bracis-28394	364	30	pp	pp	ADV
bracis-28394	364	31	.	.	PUNCT
bracis-28394	365	1	145–158	145–158	NUM
bracis-28394	365	2	.	.	PUNCT
bracis-28394	365	3	springer	springer	NOUN
bracis-28394	365	4	,	,	PUNCT
bracis-28394	365	5	berlin	berlin	PROPN
bracis-28394	365	6	heidelberg	heidelberg	PROPN
bracis-28394	365	7	,	,	PUNCT
bracis-28394	365	8	berlin	berlin	PROPN
bracis-28394	365	9	,	,	PUNCT
bracis-28394	365	10	heidelberg	heidelberg	PROPN
bracis-28394	365	11	(	(	PUNCT
bracis-28394	365	12	2011	2011	NUM
bracis-28394	365	13	)	)	PUNCT
bracis-28394	365	14	chapter	chapter	NOUN
bracis-28394	365	15	  	  	SPACE
bracis-28394	365	16	google	google	PROPN
bracis-28394	365	17	scholar	scholar	NOUN
bracis-28394	365	18	  	  	SPACE
bracis-28394	365	19	szymanski	szymanski	ADJ
bracis-28394	365	20	,	,	PUNCT
bracis-28394	365	21	p.	p.	NOUN
bracis-28394	365	22	,	,	PUNCT
bracis-28394	365	23	kajdanowicz	kajdanowicz	NOUN
bracis-28394	365	24	,	,	PUNCT
bracis-28394	365	25	t.	t.	PROPN
bracis-28394	365	26	:	:	PUNCT
bracis-28394	365	27	scikit	scikit	NOUN
bracis-28394	365	28	-	-	PUNCT
bracis-28394	365	29	multilearn	multilearn	VERB
bracis-28394	365	30	:	:	PUNCT
bracis-28394	365	31	a	a	DET
bracis-28394	365	32	scikit	scikit	NOUN
bracis-28394	365	33	-	-	PUNCT
bracis-28394	365	34	based	base	VERB
bracis-28394	365	35	python	python	NOUN
bracis-28394	365	36	environment	environment	NOUN
bracis-28394	365	37	for	for	ADP
bracis-28394	365	38	performing	perform	VERB
bracis-28394	365	39	multi	multi	ADJ
bracis-28394	365	40	-	-	ADJ
bracis-28394	365	41	label	label	ADJ
bracis-28394	365	42	classification	classification	NOUN
bracis-28394	365	43	.	.	PUNCT
bracis-28394	366	1	j.	j.	PROPN
bracis-28394	366	2	mach	mach	PROPN
bracis-28394	366	3	.	.	PUNCT
bracis-28394	367	1	learn	learn	VERB
bracis-28394	367	2	.	.	PUNCT
bracis-28394	368	1	res	re	NOUN
bracis-28394	368	2	.	.	PUNCT
bracis-28394	369	1	20(1	20(1	NUM
bracis-28394	369	2	)	)	PUNCT
bracis-28394	369	3	,	,	PUNCT
bracis-28394	369	4	209–230	209–230	NUM
bracis-28394	369	5	(	(	PUNCT
bracis-28394	369	6	2019	2019	NUM
bracis-28394	369	7	)	)	PUNCT
bracis-28394	369	8	google	google	PROPN
bracis-28394	369	9	scholar	scholar	NOUN
bracis-28394	369	10	  	  	SPACE
bracis-28394	369	11	tsoumakas	tsoumakas	NOUN
bracis-28394	369	12	,	,	PUNCT
bracis-28394	369	13	g.	g.	PROPN
bracis-28394	369	14	,	,	PUNCT
bracis-28394	369	15	katakis	katakis	PROPN
bracis-28394	369	16	,	,	PUNCT
bracis-28394	369	17	i.	i.	PROPN
bracis-28394	369	18	,	,	PUNCT
bracis-28394	369	19	vlahavas	vlahavas	PROPN
bracis-28394	369	20	,	,	PUNCT
bracis-28394	369	21	i.	i.	NOUN
bracis-28394	369	22	:	:	PUNCT
bracis-28394	369	23	mining	mine	VERB
bracis-28394	369	24	multi	multi	ADJ
bracis-28394	369	25	-	-	ADJ
bracis-28394	369	26	label	label	ADJ
bracis-28394	369	27	data	datum	NOUN
bracis-28394	369	28	,	,	PUNCT
bracis-28394	369	29	pp	pp	ADJ
bracis-28394	369	30	.	.	PUNCT
bracis-28394	370	1	667–685	667–685	NUM
bracis-28394	370	2	.	.	PUNCT
bracis-28394	370	3	springer	springer	NOUN
bracis-28394	370	4	,	,	PUNCT
bracis-28394	370	5	us	us	PROPN
bracis-28394	370	6	,	,	PUNCT
bracis-28394	370	7	boston	boston	PROPN
bracis-28394	370	8	,	,	PUNCT
bracis-28394	370	9	ma	ma	PROPN
bracis-28394	370	10	(	(	PUNCT
bracis-28394	370	11	2010	2010	NUM
bracis-28394	370	12	)	)	PUNCT
bracis-28394	370	13	google	google	PROPN
bracis-28394	370	14	scholar	scholar	NOUN
bracis-28394	370	15	  	  	SPACE
bracis-28394	370	16	wever	wever	NOUN
bracis-28394	370	17	,	,	PUNCT
bracis-28394	370	18	m.	m.	NOUN
bracis-28394	370	19	,	,	PUNCT
bracis-28394	370	20	tornede	tornede	VERB
bracis-28394	370	21	,	,	PUNCT
bracis-28394	370	22	a.	a.	NOUN
bracis-28394	370	23	,	,	PUNCT
bracis-28394	370	24	mohr	mohr	PROPN
bracis-28394	370	25	,	,	PUNCT
bracis-28394	370	26	f.	f.	PROPN
bracis-28394	370	27	,	,	PUNCT
bracis-28394	370	28	hüllermeier	hüllermeier	PROPN
bracis-28394	370	29	,	,	PUNCT
bracis-28394	370	30	e.	e.	PROPN
bracis-28394	370	31	:	:	PUNCT
bracis-28394	370	32	automl	automl	PROPN
bracis-28394	370	33	for	for	ADP
bracis-28394	370	34	multi	multi	ADJ
bracis-28394	370	35	-	-	ADJ
bracis-28394	370	36	label	label	ADJ
bracis-28394	370	37	classification	classification	NOUN
bracis-28394	370	38	:	:	PUNCT
bracis-28394	370	39	overview	overview	NOUN
bracis-28394	370	40	and	and	CCONJ
bracis-28394	370	41	empirical	empirical	ADJ
bracis-28394	370	42	evaluation	evaluation	NOUN
bracis-28394	370	43	.	.	PUNCT
bracis-28394	371	1	ieee	ieee	PROPN
bracis-28394	371	2	trans	trans	PROPN
bracis-28394	371	3	.	.	PUNCT
bracis-28394	371	4	pattern	pattern	PROPN
bracis-28394	371	5	anal	anal	PROPN
bracis-28394	371	6	.	.	PUNCT
bracis-28394	372	1	mach	mach	PROPN
bracis-28394	372	2	.	.	PUNCT
bracis-28394	373	1	intell	intell	PROPN
bracis-28394	373	2	.	.	PUNCT
bracis-28394	374	1	43(09	43(09	NUM
bracis-28394	374	2	)	)	PUNCT
bracis-28394	374	3	,	,	PUNCT
bracis-28394	374	4	3037–3054	3037–3054	NUM
bracis-28394	374	5	(	(	PUNCT
bracis-28394	374	6	2021	2021	NUM
bracis-28394	374	7	)	)	PUNCT
bracis-28394	374	8	article	article	NOUN
bracis-28394	374	9	  	  	SPACE
bracis-28394	374	10	google	google	PROPN
bracis-28394	374	11	scholar	scholar	NOUN
bracis-28394	374	12	  	  	SPACE
bracis-28394	374	13	wever	wever	NOUN
bracis-28394	374	14	,	,	PUNCT
bracis-28394	374	15	m.d	m.d	PROPN
bracis-28394	374	16	.	.	PROPN
bracis-28394	374	17	,	,	PUNCT
bracis-28394	374	18	mohr	mohr	PROPN
bracis-28394	374	19	,	,	PUNCT
bracis-28394	374	20	f.	f.	PROPN
bracis-28394	374	21	,	,	PUNCT
bracis-28394	374	22	tornede	tornede	VERB
bracis-28394	374	23	,	,	PUNCT
bracis-28394	374	24	a.	a.	NOUN
bracis-28394	374	25	,	,	PUNCT
bracis-28394	374	26	hüllermeier	hüllermeier	PROPN
bracis-28394	374	27	,	,	PUNCT
bracis-28394	374	28	e.	e.	PROPN
bracis-28394	374	29	:	:	PUNCT
bracis-28394	374	30	automating	automate	VERB
bracis-28394	374	31	multi	multi	ADJ
bracis-28394	374	32	-	-	ADJ
bracis-28394	374	33	label	label	ADJ
bracis-28394	374	34	classification	classification	NOUN
bracis-28394	374	35	extending	extend	VERB
bracis-28394	374	36	ml	ml	NOUN
bracis-28394	374	37	-	-	PUNCT
bracis-28394	374	38	plan	plan	NOUN
bracis-28394	374	39	.	.	PUNCT
bracis-28394	375	1	in	in	ADP
bracis-28394	375	2	:	:	PUNCT
bracis-28394	375	3	6th	6th	ADJ
bracis-28394	375	4	icml	icml	NOUN
bracis-28394	375	5	workshop	workshop	NOUN
bracis-28394	375	6	on	on	ADP
bracis-28394	375	7	automated	automate	VERB
bracis-28394	375	8	machine	machine	NOUN
bracis-28394	375	9	learning	learning	NOUN
bracis-28394	375	10	,	,	PUNCT
bracis-28394	375	11	long	long	ADJ
bracis-28394	375	12	beach	beach	NOUN
bracis-28394	375	13	,	,	PUNCT
bracis-28394	375	14	ca	ca	PROPN
bracis-28394	375	15	,	,	PUNCT
bracis-28394	375	16	usa	usa	PROPN
bracis-28394	375	17	(	(	PUNCT
bracis-28394	375	18	2019	2019	NUM
bracis-28394	375	19	)	)	PUNCT
bracis-28394	375	20	google	google	NOUN
bracis-28394	375	21	scholar	scholar	NOUN
bracis-28394	375	22	  	  	SPACE
bracis-28394	375	23	zöller	zöller	NOUN
bracis-28394	375	24	,	,	PUNCT
bracis-28394	375	25	m.a	m.a	PROPN
bracis-28394	375	26	.	.	PROPN
bracis-28394	375	27	,	,	PUNCT
bracis-28394	375	28	huber	huber	PROPN
bracis-28394	375	29	,	,	PUNCT
bracis-28394	375	30	m.f	m.f	PROPN
bracis-28394	375	31	.	.	PUNCT
bracis-28394	375	32	:	:	PUNCT
bracis-28394	375	33	benchmark	benchmark	NOUN
bracis-28394	375	34	and	and	CCONJ
bracis-28394	375	35	survey	survey	NOUN
bracis-28394	375	36	of	of	ADP
bracis-28394	375	37	automated	automate	VERB
bracis-28394	375	38	machine	machine	NOUN
bracis-28394	375	39	learning	learn	VERB
bracis-28394	375	40	frameworks	framework	NOUN
bracis-28394	375	41	.	.	PUNCT
bracis-28394	376	1	j.	j.	PROPN
bracis-28394	376	2	artif	artif	PROPN
bracis-28394	376	3	.	.	PUNCT
bracis-28394	377	1	int	int	NOUN
bracis-28394	377	2	.	.	PUNCT
bracis-28394	378	1	res	re	NOUN
bracis-28394	378	2	.	.	PROPN
bracis-28394	379	1	70	70	NUM
bracis-28394	379	2	,	,	PUNCT
bracis-28394	379	3	409–472	409–472	NUM
bracis-28394	379	4	(	(	PUNCT
bracis-28394	379	5	2021	2021	NUM
bracis-28394	379	6	)	)	PUNCT
bracis-28394	379	7	mathscinet	mathscinet	NOUN
bracis-28394	379	8	  	  	SPACE
bracis-28394	379	9	math	math	NOUN
bracis-28394	379	10	  	  	SPACE
bracis-28394	379	11	google	google	PROPN
bracis-28394	379	12	scholar	scholar	NOUN
bracis-28394	379	13	  	  	SPACE
bracis-28394	379	14	download	download	NOUN
bracis-28394	379	15	references	reference	NOUN
bracis-28394	379	16	acknowledgments	acknowledgment	NOUN
bracis-28394	379	17	the	the	DET
bracis-28394	379	18	authors	author	NOUN
bracis-28394	379	19	would	would	AUX
bracis-28394	379	20	like	like	VERB
bracis-28394	379	21	to	to	PART
bracis-28394	379	22	thank	thank	VERB
bracis-28394	379	23	the	the	DET
bracis-28394	379	24	brazilian	brazilian	ADJ
bracis-28394	379	25	research	research	NOUN
bracis-28394	379	26	agencies	agency	NOUN
bracis-28394	379	27	fapesp	fapesp	NOUN
bracis-28394	379	28	,	,	PUNCT
bracis-28394	379	29	capes	cape	NOUN
bracis-28394	379	30	and	and	CCONJ
bracis-28394	379	31	cnpq	cnpq	NOUN
bracis-28394	379	32	for	for	ADP
bracis-28394	379	33	financial	financial	ADJ
bracis-28394	379	34	support	support	NOUN
bracis-28394	379	35	.	.	PUNCT
bracis-28394	380	1	author	author	NOUN
bracis-28394	380	2	information	information	NOUN
bracis-28394	380	3	authors	author	NOUN
bracis-28394	380	4	and	and	CCONJ
bracis-28394	380	5	affiliations	affiliation	NOUN
bracis-28394	380	6	federal	federal	PROPN
bracis-28394	380	7	institute	institute	PROPN
bracis-28394	380	8	of	of	ADP
bracis-28394	380	9	education	education	PROPN
bracis-28394	380	10	,	,	PUNCT
bracis-28394	380	11	science	science	NOUN
bracis-28394	380	12	and	and	CCONJ
bracis-28394	380	13	technology	technology	NOUN
bracis-28394	380	14	of	of	ADP
bracis-28394	380	15	the	the	DET
bracis-28394	380	16	south	south	NOUN
bracis-28394	380	17	of	of	ADP
bracis-28394	380	18	minas	minas	PROPN
bracis-28394	380	19	gerais	gerais	PROPN
bracis-28394	380	20	,	,	PUNCT
bracis-28394	380	21	muzambinho	muzambinho	NOUN
bracis-28394	380	22	,	,	PUNCT
bracis-28394	380	23	mg	mg	PROPN
bracis-28394	380	24	,	,	PUNCT
bracis-28394	380	25	brazil	brazil	PROPN
bracis-28394	380	26	aline	aline	PROPN
bracis-28394	380	27	marques	marques	PROPN
bracis-28394	380	28	del	del	PROPN
bracis-28394	380	29	valle	valle	PROPN
bracis-28394	380	30	department	department	PROPN
bracis-28394	380	31	of	of	ADP
bracis-28394	380	32	computer	computer	NOUN
bracis-28394	380	33	science	science	NOUN
bracis-28394	380	34	,	,	PUNCT
bracis-28394	380	35	federal	federal	ADJ
bracis-28394	380	36	university	university	PROPN
bracis-28394	380	37	of	of	ADP
bracis-28394	380	38	são	são	PROPN
bracis-28394	380	39	carlos	carlos	PROPN
bracis-28394	380	40	,	,	PUNCT
bracis-28394	380	41	rodovia	rodovia	ADP
bracis-28394	380	42	washington	washington	PROPN
bracis-28394	380	43	luis	luis	PROPN
bracis-28394	380	44	,	,	PUNCT
bracis-28394	380	45	km	km	PROPN
bracis-28394	380	46	235	235	NUM
bracis-28394	380	47	,	,	PUNCT
bracis-28394	380	48	são	são	PROPN
bracis-28394	380	49	carlos	carlos	PROPN
bracis-28394	380	50	,	,	PUNCT
bracis-28394	380	51	sp	sp	PROPN
bracis-28394	380	52	,	,	PUNCT
bracis-28394	380	53	brazil	brazil	PROPN
bracis-28394	380	54	aline	aline	PROPN
bracis-28394	380	55	marques	marques	PROPN
bracis-28394	380	56	del	del	PROPN
bracis-28394	380	57	valle	valle	PROPN
bracis-28394	380	58	 	 	SPACE
bracis-28394	380	59	&	&	CCONJ
bracis-28394	380	60	 	 	SPACE
bracis-28394	380	61	ricardo	ricardo	PROPN
bracis-28394	380	62	cerri	cerri	PROPN
bracis-28394	380	63	federal	federal	PROPN
bracis-28394	380	64	university	university	PROPN
bracis-28394	380	65	of	of	ADP
bracis-28394	380	66	technology	technology	PROPN
bracis-28394	380	67	paraná	paraná	PROPN
bracis-28394	380	68	(	(	PUNCT
bracis-28394	380	69	utfpr	utfpr	PROPN
bracis-28394	380	70	)	)	PUNCT
bracis-28394	380	71	,	,	PUNCT
bracis-28394	380	72	campus	campus	NOUN
bracis-28394	380	73	of	of	ADP
bracis-28394	380	74	apucarana	apucarana	PROPN
bracis-28394	380	75	,	,	PUNCT
bracis-28394	380	76	curitiba	curitiba	PROPN
bracis-28394	380	77	,	,	PUNCT
bracis-28394	380	78	pr	pr	NOUN
bracis-28394	380	79	,	,	PUNCT
bracis-28394	380	80	brazil	brazil	PROPN
bracis-28394	380	81	rafael	rafael	PROPN
bracis-28394	380	82	gomes	gomes	PROPN
bracis-28394	380	83	mantovani	mantovani	PROPN
bracis-28394	380	84	authors	authors	PROPN
bracis-28394	380	85	aline	aline	PROPN
bracis-28394	380	86	marques	marques	PROPN
bracis-28394	380	87	del	del	PROPN
bracis-28394	380	88	valleview	valleview	PROPN
bracis-28394	380	89	author	author	NOUN
bracis-28394	380	90	publications	publication	NOUN
bracis-28394	380	91	search	search	NOUN
bracis-28394	380	92	author	author	NOUN
bracis-28394	380	93	on	on	ADP
bracis-28394	380	94	:	:	PUNCT
bracis-28394	380	95	pubmed	pubmed	PROPN
bracis-28394	380	96	 	 	SPACE
bracis-28394	380	97	google	google	PROPN
bracis-28394	380	98	scholar	scholar	PROPN
bracis-28394	380	99	rafael	rafael	PROPN
bracis-28394	380	100	gomes	gomes	PROPN
bracis-28394	380	101	mantovaniview	mantovaniview	PROPN
bracis-28394	380	102	author	author	NOUN
bracis-28394	380	103	publications	publication	NOUN
bracis-28394	380	104	search	search	NOUN
bracis-28394	380	105	author	author	NOUN
bracis-28394	380	106	on	on	ADP
bracis-28394	380	107	:	:	PUNCT
bracis-28394	380	108	pubmed	pubmed	PROPN
bracis-28394	380	109	 	 	SPACE
bracis-28394	380	110	google	google	PROPN
bracis-28394	380	111	scholar	scholar	NOUN
bracis-28394	380	112	ricardo	ricardo	PROPN
bracis-28394	380	113	cerriview	cerriview	NOUN
bracis-28394	380	114	author	author	NOUN
bracis-28394	380	115	publications	publication	NOUN
bracis-28394	380	116	search	search	NOUN
bracis-28394	380	117	author	author	NOUN
bracis-28394	380	118	on	on	ADP
bracis-28394	380	119	:	:	PUNCT
bracis-28394	380	120	pubmed	pubmed	PROPN
bracis-28394	380	121	 	 	SPACE
bracis-28394	380	122	google	google	PROPN
bracis-28394	380	123	scholar	scholar	NOUN
bracis-28394	380	124	corresponding	correspond	VERB
bracis-28394	380	125	author	author	NOUN
bracis-28394	380	126	correspondence	correspondence	NOUN
bracis-28394	380	127	to	to	ADP
bracis-28394	380	128	aline	aline	PROPN
bracis-28394	380	129	marques	marques	PROPN
bracis-28394	380	130	del	del	PROPN
bracis-28394	380	131	valle	valle	PROPN
bracis-28394	380	132	.	.	PUNCT
bracis-28394	381	1	editor	editor	NOUN
bracis-28394	381	2	information	information	NOUN
bracis-28394	381	3	editors	editor	NOUN
bracis-28394	381	4	and	and	CCONJ
bracis-28394	381	5	affiliations	affiliation	NOUN
bracis-28394	381	6	federal	federal	PROPN
bracis-28394	381	7	university	university	PROPN
bracis-28394	381	8	of	of	ADP
bracis-28394	381	9	são	são	PROPN
bracis-28394	381	10	carlos	carlos	PROPN
bracis-28394	381	11	,	,	PUNCT
bracis-28394	381	12	são	são	PROPN
bracis-28394	381	13	carlos	carlos	PROPN
bracis-28394	381	14	,	,	PUNCT
bracis-28394	381	15	brazil	brazil	PROPN
bracis-28394	381	16	murilo	murilo	PROPN
bracis-28394	381	17	c.	c.	PROPN
bracis-28394	381	18	naldi	naldi	PROPN
bracis-28394	381	19	centro	centro	PROPN
bracis-28394	381	20	universitario	universitario	PROPN
bracis-28394	381	21	da	da	PROPN
bracis-28394	381	22	fei	fei	PROPN
bracis-28394	381	23	,	,	PUNCT
bracis-28394	381	24	são	são	PROPN
bracis-28394	381	25	bernardo	bernardo	PROPN
bracis-28394	381	26	do	do	AUX
bracis-28394	381	27	campo	campo	PROPN
bracis-28394	381	28	,	,	PUNCT
bracis-28394	381	29	brazil	brazil	PROPN
bracis-28394	381	30	reinaldo	reinaldo	PROPN
bracis-28394	381	31	a.	a.	PROPN
bracis-28394	381	32	c.	c.	PROPN
bracis-28394	381	33	bianchi	bianchi	PROPN
bracis-28394	381	34	rights	right	NOUN
bracis-28394	381	35	and	and	CCONJ
bracis-28394	381	36	permissions	permission	NOUN
bracis-28394	381	37	reprints	reprint	NOUN
bracis-28394	381	38	and	and	CCONJ
bracis-28394	381	39	permissions	permission	VERB
bracis-28394	381	40	copyright	copyright	NOUN
bracis-28394	381	41	information	information	NOUN
bracis-28394	381	42	©	©	ADP
bracis-28394	381	43	2023	2023	NUM
bracis-28394	381	44	the	the	DET
bracis-28394	381	45	author(s	author(s	NOUN
bracis-28394	381	46	)	)	PUNCT
bracis-28394	381	47	,	,	PUNCT
bracis-28394	381	48	under	under	ADP
bracis-28394	381	49	exclusive	exclusive	ADJ
bracis-28394	381	50	license	license	NOUN
bracis-28394	381	51	to	to	ADP
bracis-28394	381	52	springer	springer	NOUN
bracis-28394	381	53	nature	nature	PROPN
bracis-28394	381	54	switzerland	switzerland	PROPN
bracis-28394	381	55	ag	ag	PROPN
bracis-28394	381	56	about	about	ADP
bracis-28394	381	57	this	this	DET
bracis-28394	381	58	paper	paper	NOUN
bracis-28394	381	59	cite	cite	VERB
bracis-28394	381	60	this	this	DET
bracis-28394	381	61	paper	paper	NOUN
bracis-28394	381	62	del	del	X
bracis-28394	381	63	valle	valle	NOUN
bracis-28394	381	64	,	,	PUNCT
bracis-28394	381	65	a.m.	a.m.	ADV
bracis-28394	381	66	,	,	PUNCT
bracis-28394	381	67	mantovani	mantovani	PROPN
bracis-28394	381	68	,	,	PUNCT
bracis-28394	381	69	r.g	r.g	PROPN
bracis-28394	381	70	.	.	PROPN
bracis-28394	381	71	,	,	PUNCT
bracis-28394	381	72	cerri	cerri	PROPN
bracis-28394	381	73	,	,	PUNCT
bracis-28394	381	74	r.	r.	PROPN
bracis-28394	381	75	(	(	PUNCT
bracis-28394	381	76	2023	2023	NUM
bracis-28394	381	77	)	)	PUNCT
bracis-28394	381	78	.	.	PUNCT
bracis-28394	382	1	autommlc	autommlc	PROPN
bracis-28394	382	2	:	:	PUNCT
bracis-28394	382	3	an	an	DET
bracis-28394	382	4	automated	automate	VERB
bracis-28394	382	5	and	and	CCONJ
bracis-28394	382	6	 	 	SPACE
bracis-28394	382	7	multi	multi	ADJ
bracis-28394	382	8	-	-	ADJ
bracis-28394	382	9	objective	objective	ADJ
bracis-28394	382	10	method	method	NOUN
bracis-28394	382	11	for	for	ADP
bracis-28394	382	12	 	 	SPACE
bracis-28394	382	13	multi	multi	ADJ
bracis-28394	382	14	-	-	ADJ
bracis-28394	382	15	label	label	ADJ
bracis-28394	382	16	classification	classification	NOUN
bracis-28394	382	17	.	.	PUNCT
bracis-28394	383	1	in	in	ADP
bracis-28394	383	2	:	:	PUNCT
bracis-28394	383	3	naldi	naldi	PROPN
bracis-28394	383	4	,	,	PUNCT
bracis-28394	383	5	m.c	m.c	PROPN
bracis-28394	383	6	.	.	PROPN
bracis-28394	383	7	,	,	PUNCT
bracis-28394	383	8	bianchi	bianchi	PROPN
bracis-28394	383	9	,	,	PUNCT
bracis-28394	383	10	r.a.c	r.a.c	ADP
bracis-28394	383	11	.	.	PUNCT
bracis-28394	383	12	(	(	PUNCT
bracis-28394	383	13	eds	ed	NOUN
bracis-28394	383	14	)	)	PUNCT
bracis-28394	383	15	intelligent	intelligent	ADJ
bracis-28394	383	16	systems	system	NOUN
bracis-28394	383	17	.	.	PUNCT
bracis-28394	384	1	bracis	bracis	PROPN
bracis-28394	384	2	2023	2023	NUM
bracis-28394	384	3	.	.	PUNCT
bracis-28394	385	1	lecture	lecture	NOUN
bracis-28394	385	2	notes	note	NOUN
bracis-28394	385	3	in	in	ADP
bracis-28394	385	4	computer	computer	NOUN
bracis-28394	385	5	science	science	NOUN
bracis-28394	385	6	(	(	PUNCT
bracis-28394	385	7	)	)	PUNCT
bracis-28394	385	8	,	,	PUNCT
bracis-28394	385	9	vol	vol	NOUN
bracis-28394	385	10	14196	14196	NUM
bracis-28394	385	11	.	.	PUNCT
bracis-28394	386	1	springer	springer	NOUN
bracis-28394	386	2	,	,	PUNCT
bracis-28394	386	3	cham	cham	PROPN
bracis-28394	386	4	.	.	PUNCT
bracis-28394	387	1	https://doi.org/10.1007/978-3-031-45389-2_20	https://doi.org/10.1007/978-3-031-45389-2_20	PROPN
bracis-28394	387	2	download	download	NOUN
bracis-28394	387	3	citation	citation	NOUN
bracis-28394	387	4	.ris	.ris	PUNCT
bracis-28394	388	1	.enw	.enw	PROPN
bracis-28394	388	2	.bib	.bib	PUNCT
bracis-28394	389	1	doi	doi	PROPN
bracis-28394	389	2	:	:	PUNCT
bracis-28394	389	3	https://doi.org/10.1007/978-3-031-45389-2_20	https://doi.org/10.1007/978-3-031-45389-2_20	VERB
bracis-28394	389	4	published	publish	VERB
bracis-28394	389	5	:	:	PUNCT
bracis-28394	389	6	12	12	NUM
bracis-28394	389	7	october	october	PROPN
bracis-28394	389	8	2023	2023	NUM
bracis-28394	389	9	publisher	publisher	NOUN
bracis-28394	389	10	name	name	NOUN
bracis-28394	389	11	:	:	PUNCT
bracis-28394	389	12	springer	springer	NOUN
bracis-28394	389	13	,	,	PUNCT
bracis-28394	389	14	cham	cham	PROPN
bracis-28394	389	15	print	print	PROPN
bracis-28394	389	16	isbn	isbn	PROPN
bracis-28394	389	17	:	:	PUNCT
bracis-28394	389	18	978	978	NUM
bracis-28394	389	19	-	-	SYM
bracis-28394	389	20	3	3	NUM
bracis-28394	389	21	-	-	PUNCT
bracis-28394	389	22	031	031	NUM
bracis-28394	389	23	-	-	PUNCT
bracis-28394	389	24	45388	45388	NUM
bracis-28394	389	25	-	-	SYM
bracis-28394	389	26	5	5	NUM
bracis-28394	389	27	online	online	ADJ
bracis-28394	389	28	isbn	isbn	NOUN
bracis-28394	389	29	:	:	PUNCT
bracis-28394	389	30	978	978	NUM
bracis-28394	389	31	-	-	SYM
bracis-28394	389	32	3	3	NUM
bracis-28394	389	33	-	-	PUNCT
bracis-28394	389	34	031	031	NUM
bracis-28394	389	35	-	-	PUNCT
bracis-28394	389	36	45389	45389	NUM
bracis-28394	389	37	-	-	SYM
bracis-28394	389	38	2	2	NUM
bracis-28394	389	39	ebook	ebook	NOUN
bracis-28394	389	40	packages	package	NOUN
bracis-28394	389	41	:	:	PUNCT
bracis-28394	389	42	computer	computer	NOUN
bracis-28394	389	43	sciencecomputer	sciencecomputer	NOUN
bracis-28394	389	44	science	science	NOUN
bracis-28394	389	45	(	(	PUNCT
bracis-28394	389	46	r0	r0	NOUN
bracis-28394	389	47	)	)	PUNCT
bracis-28394	389	48	share	share	VERB
bracis-28394	389	49	this	this	DET
bracis-28394	389	50	paper	paper	NOUN
bracis-28394	389	51	anyone	anyone	PRON
bracis-28394	389	52	you	you	PRON
bracis-28394	389	53	share	share	VERB
bracis-28394	389	54	the	the	DET
bracis-28394	389	55	following	follow	VERB
bracis-28394	389	56	link	link	NOUN
bracis-28394	389	57	with	with	ADP
bracis-28394	389	58	will	will	AUX
bracis-28394	389	59	be	be	AUX
bracis-28394	389	60	able	able	ADJ
bracis-28394	389	61	to	to	PART
bracis-28394	389	62	read	read	VERB
bracis-28394	389	63	this	this	DET
bracis-28394	389	64	content	content	NOUN
bracis-28394	389	65	:	:	PUNCT
bracis-28394	389	66	get	get	VERB
bracis-28394	389	67	shareable	shareable	ADJ
bracis-28394	389	68	linksorry	linksorry	NOUN
bracis-28394	389	69	,	,	PUNCT
bracis-28394	389	70	a	a	DET
bracis-28394	389	71	shareable	shareable	ADJ
bracis-28394	389	72	link	link	NOUN
bracis-28394	389	73	is	be	AUX
bracis-28394	389	74	not	not	PART
bracis-28394	389	75	currently	currently	ADV
bracis-28394	389	76	available	available	ADJ
bracis-28394	389	77	for	for	ADP
bracis-28394	389	78	this	this	DET
bracis-28394	389	79	article	article	NOUN
bracis-28394	389	80	.	.	PUNCT
bracis-28394	390	1	copy	copy	VERB
bracis-28394	390	2	shareable	shareable	ADJ
bracis-28394	390	3	link	link	NOUN
bracis-28394	390	4	to	to	PART
bracis-28394	390	5	clipboard	clipboard	NOUN
bracis-28394	390	6	provided	provide	VERB
bracis-28394	390	7	by	by	ADP
bracis-28394	390	8	the	the	DET
bracis-28394	390	9	springer	springer	NOUN
bracis-28394	390	10	nature	nature	PROPN
bracis-28394	390	11	sharedit	sharedit	PROPN
bracis-28394	390	12	content	content	NOUN
bracis-28394	390	13	-	-	PUNCT
bracis-28394	390	14	sharing	share	VERB
bracis-28394	390	15	initiative	initiative	NOUN
bracis-28394	390	16	keywords	keyword	NOUN
bracis-28394	390	17	automated	automate	VERB
bracis-28394	390	18	machine	machine	NOUN
bracis-28394	390	19	learning	learn	VERB
bracis-28394	390	20	multi	multi	ADJ
bracis-28394	390	21	-	-	ADJ
bracis-28394	390	22	label	label	ADJ
bracis-28394	390	23	classification	classification	NOUN
bracis-28394	390	24	multi	multi	ADJ
bracis-28394	390	25	-	-	ADJ
bracis-28394	390	26	objective	objective	ADJ
bracis-28394	390	27	optimization	optimization	NOUN
bracis-28394	390	28	publish	publish	VERB
bracis-28394	390	29	with	with	ADP
bracis-28394	390	30	us	us	PROPN
bracis-28394	390	31	policies	policy	NOUN
bracis-28394	390	32	and	and	CCONJ
bracis-28394	390	33	ethics	ethic	NOUN
bracis-28394	390	34	profiles	profile	NOUN
bracis-28394	390	35	rafael	rafael	PROPN
bracis-28394	390	36	gomes	gomes	PROPN
bracis-28394	390	37	mantovani	mantovani	PROPN
bracis-28394	390	38	view	view	PROPN
bracis-28394	390	39	author	author	NOUN
bracis-28394	390	40	profile	profile	NOUN
bracis-28394	390	41	search	search	NOUN
bracis-28394	390	42	search	search	NOUN
bracis-28394	390	43	by	by	ADP
bracis-28394	390	44	keyword	keyword	NOUN
bracis-28394	390	45	or	or	CCONJ
bracis-28394	390	46	author	author	NOUN
bracis-28394	390	47	search	search	NOUN
bracis-28394	390	48	navigation	navigation	NOUN
bracis-28394	390	49	find	find	VERB
bracis-28394	390	50	a	a	DET
bracis-28394	390	51	journal	journal	NOUN
bracis-28394	390	52	publish	publish	VERB
bracis-28394	390	53	with	with	ADP
bracis-28394	390	54	us	we	PRON
bracis-28394	390	55	track	track	VERB
bracis-28394	390	56	your	your	PRON
bracis-28394	390	57	research	research	NOUN
bracis-28394	390	58	discover	discover	VERB
bracis-28394	390	59	content	content	NOUN
bracis-28394	390	60	journals	journal	NOUN
bracis-28394	390	61	a	a	DET
bracis-28394	390	62	-	-	PUNCT
bracis-28394	390	63	z	z	NOUN
bracis-28394	390	64	books	book	NOUN
bracis-28394	390	65	a	a	DET
bracis-28394	390	66	-	-	PUNCT
bracis-28394	390	67	z	z	NOUN
bracis-28394	390	68	publish	publish	NOUN
bracis-28394	390	69	with	with	ADP
bracis-28394	390	70	us	us	PROPN
bracis-28394	390	71	journal	journal	PROPN
bracis-28394	390	72	finder	finder	PROPN
bracis-28394	390	73	publish	publish	VERB
bracis-28394	390	74	your	your	PRON
bracis-28394	390	75	research	research	NOUN
bracis-28394	390	76	language	language	NOUN
bracis-28394	390	77	editing	edit	VERB
bracis-28394	390	78	open	open	ADJ
bracis-28394	390	79	access	access	NOUN
bracis-28394	390	80	publishing	publishing	NOUN
bracis-28394	390	81	products	product	NOUN
bracis-28394	390	82	and	and	CCONJ
bracis-28394	390	83	services	service	NOUN
bracis-28394	390	84	our	our	PRON
bracis-28394	390	85	products	product	NOUN
bracis-28394	390	86	librarians	librarian	VERB
bracis-28394	390	87	societies	society	NOUN
bracis-28394	390	88	partners	partner	NOUN
bracis-28394	390	89	and	and	CCONJ
bracis-28394	390	90	advertisers	advertiser	NOUN
bracis-28394	390	91	our	our	PRON
bracis-28394	390	92	brands	brand	NOUN
bracis-28394	390	93	springer	springer	NOUN
bracis-28394	390	94	nature	nature	PROPN
bracis-28394	390	95	portfolio	portfolio	PROPN
bracis-28394	390	96	bmc	bmc	PROPN
bracis-28394	390	97	palgrave	palgrave	PROPN
bracis-28394	390	98	macmillan	macmillan	PROPN
bracis-28394	390	99	apress	apress	PROPN
bracis-28394	390	100	discover	discover	VERB
bracis-28394	390	101	your	your	PRON
bracis-28394	390	102	privacy	privacy	NOUN
bracis-28394	390	103	choices	choice	NOUN
bracis-28394	390	104	/	/	SYM
bracis-28394	390	105	manage	manage	NOUN
bracis-28394	390	106	cookies	cookie	NOUN
bracis-28394	390	107	your	your	PRON
bracis-28394	390	108	us	us	PROPN
bracis-28394	391	1	state	state	NOUN
bracis-28394	391	2	privacy	privacy	NOUN
bracis-28394	391	3	rights	right	NOUN
bracis-28394	391	4	accessibility	accessibility	NOUN
bracis-28394	391	5	statement	statement	NOUN
bracis-28394	391	6	terms	term	NOUN
bracis-28394	391	7	and	and	CCONJ
bracis-28394	391	8	conditions	condition	NOUN
bracis-28394	391	9	privacy	privacy	NOUN
bracis-28394	391	10	policy	policy	NOUN
bracis-28394	391	11	help	help	NOUN
bracis-28394	391	12	and	and	CCONJ
bracis-28394	391	13	support	support	VERB
bracis-28394	391	14	legal	legal	ADJ
bracis-28394	391	15	notice	notice	NOUN
bracis-28394	391	16	cancel	cancel	VERB
bracis-28394	391	17	contracts	contract	NOUN
bracis-28394	391	18	here	here	ADV
bracis-28394	391	19	129.74.145.123	129.74.145.123	NUM
bracis-28394	391	20	hesburgh	hesburgh	PROPN
bracis-28394	391	21	library	library	PROPN
bracis-28394	391	22	er	er	INTJ
bracis-28394	391	23	unit	unit	NOUN
bracis-28394	391	24	(	(	PUNCT
bracis-28394	391	25	3005732405	3005732405	NUM
bracis-28394	391	26	)	)	PUNCT
bracis-28394	391	27	northeast	northeast	ADJ
bracis-28394	391	28	research	research	NOUN
bracis-28394	391	29	libraries	library	NOUN
bracis-28394	391	30	(	(	PUNCT
bracis-28394	391	31	nerl	nerl	PROPN
bracis-28394	391	32	)	)	PUNCT
bracis-28394	391	33	(	(	PUNCT
bracis-28394	391	34	8200828607	8200828607	NUM
bracis-28394	391	35	)	)	PUNCT
bracis-28394	391	36	nerl	nerl	VERB
bracis-28394	391	37	ta	ta	X
bracis-28394	391	38	account	account	NOUN
bracis-28394	391	39	(	(	PUNCT
bracis-28394	391	40	3006206169	3006206169	NUM
bracis-28394	391	41	)	)	PUNCT
bracis-28394	391	42	university	university	NOUN
bracis-28394	391	43	of	of	ADP
bracis-28394	391	44	notre	notre	PROPN
bracis-28394	391	45	dame	dame	PROPN
bracis-28394	391	46	hesburgh	hesburgh	PROPN
bracis-28394	391	47	library	library	NOUN
bracis-28394	391	48	(	(	PUNCT
bracis-28394	391	49	3000184373	3000184373	NUM
bracis-28394	391	50	)	)	PUNCT
bracis-28394	392	1	©	©	ADP
bracis-28394	392	2	2025	2025	NUM
bracis-28394	392	3	springer	springer	NOUN
bracis-28394	392	4	nature	nature	NOUN