id	sid	tid	token	lemma	pos
bracis-19044	1	1	a	a	DET
bracis-19044	1	2	comparative	comparative	ADJ
bracis-19044	1	3	study	study	NOUN
bracis-19044	1	4	on	on	ADP
bracis-19044	1	5	concept	concept	NOUN
bracis-19044	1	6	drift	drift	NOUN
bracis-19044	1	7	detectors	detector	NOUN
bracis-19044	1	8	for	for	ADP
bracis-19044	1	9	regression	regression	NOUN
bracis-19044	1	10	|	|	ADV
bracis-19044	1	11	springer	springer	NOUN
bracis-19044	1	12	nature	nature	PROPN
bracis-19044	1	13	link	link	PROPN
bracis-19044	1	14	(	(	PUNCT
bracis-19044	1	15	formerly	formerly	ADV
bracis-19044	1	16	springerlink	springerlink	NOUN
bracis-19044	1	17	)	)	PUNCT
bracis-19044	1	18	skip	skip	VERB
bracis-19044	1	19	to	to	ADP
bracis-19044	1	20	main	main	ADJ
bracis-19044	1	21	content	content	NOUN
bracis-19044	1	22	advertisement	advertisement	NOUN
bracis-19044	1	23	log	log	NOUN
bracis-19044	1	24	in	in	ADP
bracis-19044	1	25	menu	menu	NOUN
bracis-19044	1	26	find	find	VERB
bracis-19044	1	27	a	a	DET
bracis-19044	1	28	journal	journal	NOUN
bracis-19044	1	29	publish	publish	VERB
bracis-19044	1	30	with	with	ADP
bracis-19044	1	31	us	we	PRON
bracis-19044	1	32	track	track	VERB
bracis-19044	1	33	your	your	PRON
bracis-19044	1	34	research	research	NOUN
bracis-19044	1	35	search	search	NOUN
bracis-19044	1	36	cart	cart	NOUN
bracis-19044	1	37	home	home	NOUN
bracis-19044	1	38	intelligent	intelligent	ADJ
bracis-19044	1	39	systems	system	NOUN
bracis-19044	1	40	conference	conference	NOUN
bracis-19044	1	41	paper	paper	NOUN
bracis-19044	1	42	a	a	DET
bracis-19044	1	43	comparative	comparative	ADJ
bracis-19044	1	44	study	study	NOUN
bracis-19044	1	45	on	on	ADP
bracis-19044	1	46	concept	concept	NOUN
bracis-19044	1	47	drift	drift	NOUN
bracis-19044	1	48	detectors	detector	NOUN
bracis-19044	1	49	for	for	ADP
bracis-19044	1	50	regression	regression	NOUN
bracis-19044	1	51	conference	conference	NOUN
bracis-19044	1	52	paper	paper	NOUN
bracis-19044	1	53	first	first	ADV
bracis-19044	1	54	online	online	ADV
bracis-19044	1	55	:	:	PUNCT
bracis-19044	1	56	28	28	NUM
bracis-19044	1	57	november	november	NOUN
bracis-19044	1	58	2021	2021	NUM
bracis-19044	2	1	pp	pp	CCONJ
bracis-19044	2	2	390–405	390–405	NUM
bracis-19044	2	3	cite	cite	VERB
bracis-19044	2	4	this	this	DET
bracis-19044	2	5	conference	conference	NOUN
bracis-19044	2	6	paper	paper	NOUN
bracis-19044	2	7	access	access	NOUN
bracis-19044	2	8	provided	provide	VERB
bracis-19044	2	9	by	by	ADP
bracis-19044	2	10	university	university	PROPN
bracis-19044	2	11	of	of	ADP
bracis-19044	2	12	notre	notre	PROPN
bracis-19044	2	13	dame	dame	PROPN
bracis-19044	2	14	hesburgh	hesburgh	PROPN
bracis-19044	2	15	library	library	PROPN
bracis-19044	2	16	download	download	PROPN
bracis-19044	2	17	book	book	NOUN
bracis-19044	2	18	pdf	pdf	PROPN
bracis-19044	2	19	download	download	NOUN
bracis-19044	2	20	book	book	NOUN
bracis-19044	2	21	epub	epub	PROPN
bracis-19044	2	22	intelligent	intelligent	ADJ
bracis-19044	2	23	systems	system	NOUN
bracis-19044	2	24	(	(	PUNCT
bracis-19044	2	25	bracis	bracis	NOUN
bracis-19044	2	26	2021	2021	NUM
bracis-19044	2	27	)	)	PUNCT
bracis-19044	2	28	a	a	DET
bracis-19044	2	29	comparative	comparative	ADJ
bracis-19044	2	30	study	study	NOUN
bracis-19044	2	31	on	on	ADP
bracis-19044	2	32	concept	concept	NOUN
bracis-19044	2	33	drift	drift	NOUN
bracis-19044	2	34	detectors	detector	NOUN
bracis-19044	2	35	for	for	ADP
bracis-19044	2	36	regression	regression	NOUN
bracis-19044	2	37	download	download	NOUN
bracis-19044	2	38	book	book	NOUN
bracis-19044	2	39	pdf	pdf	PROPN
bracis-19044	2	40	download	download	NOUN
bracis-19044	2	41	book	book	PROPN
bracis-19044	2	42	epub	epub	PROPN
bracis-19044	2	43	marília	marília	PROPN
bracis-19044	2	44	lima	lima	PROPN
bracis-19044	2	45	  	  	SPACE
bracis-19044	2	46	orcid	orcid	NOUN
bracis-19044	2	47	:	:	PUNCT
bracis-19044	2	48	orcid.org/0000-0002-6755-264910	orcid.org/0000-0002-6755-264910	NOUN
bracis-19044	2	49	,	,	PUNCT
bracis-19044	2	50	telmo	telmo	PROPN
bracis-19044	2	51	silva	silva	PROPN
bracis-19044	2	52	filho	filho	PROPN
bracis-19044	2	53	  	  	SPACE
bracis-19044	2	54	orcid	orcid	PROPN
bracis-19044	2	55	:	:	PUNCT
bracis-19044	2	56	orcid.org/0000-0003-0826-688511	orcid.org/0000-0003-0826-688511	PROPN
bracis-19044	2	57	&	&	CCONJ
bracis-19044	2	58	roberta	roberta	PROPN
bracis-19044	2	59	andrade	andrade	PROPN
bracis-19044	2	60	de	de	PROPN
bracis-19044	2	61	a.	a.	PROPN
bracis-19044	2	62	fagundes	fagunde	NOUN
bracis-19044	2	63	  	  	SPACE
bracis-19044	2	64	orcid	orcid	NOUN
bracis-19044	2	65	:	:	PUNCT
bracis-19044	2	66	orcid.org/0000-0002-7172-418310	orcid.org/0000-0002-7172-418310	ADJ
bracis-19044	2	67	  	  	SPACE
bracis-19044	2	68	part	part	NOUN
bracis-19044	2	69	of	of	ADP
bracis-19044	2	70	the	the	DET
bracis-19044	2	71	book	book	NOUN
bracis-19044	2	72	series	series	NOUN
bracis-19044	2	73	:	:	PUNCT
bracis-19044	2	74	lecture	lecture	NOUN
bracis-19044	2	75	notes	note	NOUN
bracis-19044	2	76	in	in	ADP
bracis-19044	2	77	computer	computer	NOUN
bracis-19044	2	78	science	science	NOUN
bracis-19044	2	79	(	(	PUNCT
bracis-19044	2	80	(	(	PUNCT
bracis-19044	2	81	lnai	lnai	ADJ
bracis-19044	2	82	,	,	PUNCT
bracis-19044	2	83	volume	volume	NOUN
bracis-19044	2	84	13073	13073	NUM
bracis-19044	2	85	)	)	PUNCT
bracis-19044	2	86	)	)	PUNCT
bracis-19044	2	87	included	include	VERB
bracis-19044	2	88	in	in	ADP
bracis-19044	2	89	the	the	DET
bracis-19044	2	90	following	follow	VERB
bracis-19044	2	91	conference	conference	NOUN
bracis-19044	2	92	series	series	NOUN
bracis-19044	2	93	:	:	PUNCT
bracis-19044	2	94	brazilian	brazilian	ADJ
bracis-19044	2	95	conference	conference	NOUN
bracis-19044	2	96	on	on	ADP
bracis-19044	2	97	intelligent	intelligent	ADJ
bracis-19044	2	98	systems	system	NOUN
bracis-19044	2	99	994	994	NUM
bracis-19044	2	100	accesses	access	VERB
bracis-19044	2	101	4	4	NUM
bracis-19044	2	102	citations	citation	NOUN
bracis-19044	2	103	abstract	abstract	ADJ
bracis-19044	2	104	context	context	NOUN
bracis-19044	2	105	:	:	PUNCT
bracis-19044	2	106	in	in	ADP
bracis-19044	2	107	the	the	DET
bracis-19044	2	108	field	field	NOUN
bracis-19044	2	109	of	of	ADP
bracis-19044	2	110	machine	machine	NOUN
bracis-19044	2	111	learning	learning	NOUN
bracis-19044	2	112	models	model	NOUN
bracis-19044	2	113	are	be	AUX
bracis-19044	2	114	trained	train	VERB
bracis-19044	2	115	to	to	PART
bracis-19044	2	116	learn	learn	VERB
bracis-19044	2	117	from	from	ADP
bracis-19044	2	118	data	datum	NOUN
bracis-19044	2	119	,	,	PUNCT
bracis-19044	2	120	however	however	ADV
bracis-19044	2	121	often	often	ADV
bracis-19044	2	122	the	the	DET
bracis-19044	2	123	context	context	NOUN
bracis-19044	2	124	at	at	ADP
bracis-19044	2	125	which	which	PRON
bracis-19044	2	126	a	a	DET
bracis-19044	2	127	model	model	NOUN
bracis-19044	2	128	is	be	AUX
bracis-19044	2	129	deployed	deploy	VERB
bracis-19044	2	130	changes	change	NOUN
bracis-19044	2	131	,	,	PUNCT
bracis-19044	2	132	degrading	degrade	VERB
bracis-19044	2	133	the	the	DET
bracis-19044	2	134	performances	performance	NOUN
bracis-19044	2	135	of	of	ADP
bracis-19044	2	136	trained	train	VERB
bracis-19044	2	137	models	model	NOUN
bracis-19044	2	138	and	and	CCONJ
bracis-19044	2	139	giving	give	VERB
bracis-19044	2	140	rise	rise	NOUN
bracis-19044	2	141	to	to	ADP
bracis-19044	2	142	a	a	DET
bracis-19044	2	143	problem	problem	NOUN
bracis-19044	2	144	called	call	VERB
bracis-19044	2	145	concept	concept	NOUN
bracis-19044	2	146	drift	drift	NOUN
bracis-19044	2	147	(	(	PUNCT
bracis-19044	2	148	cd	cd	PROPN
bracis-19044	2	149	)	)	PUNCT
bracis-19044	2	150	,	,	PUNCT
bracis-19044	2	151	which	which	PRON
bracis-19044	2	152	is	be	AUX
bracis-19044	2	153	a	a	DET
bracis-19044	2	154	change	change	NOUN
bracis-19044	2	155	in	in	ADP
bracis-19044	2	156	data	datum	NOUN
bracis-19044	2	157	distribution	distribution	NOUN
bracis-19044	2	158	.	.	PUNCT
bracis-19044	3	1	motivation	motivation	NOUN
bracis-19044	3	2	:	:	PUNCT
bracis-19044	3	3	cd	cd	PROPN
bracis-19044	3	4	has	have	AUX
bracis-19044	3	5	attracted	attract	VERB
bracis-19044	3	6	attention	attention	NOUN
bracis-19044	3	7	in	in	ADP
bracis-19044	3	8	machine	machine	NOUN
bracis-19044	3	9	learning	learn	VERB
bracis-19044	3	10	literature	literature	NOUN
bracis-19044	3	11	,	,	PUNCT
bracis-19044	3	12	with	with	ADP
bracis-19044	3	13	works	work	NOUN
bracis-19044	3	14	proposing	propose	VERB
bracis-19044	3	15	modification	modification	NOUN
bracis-19044	3	16	to	to	ADP
bracis-19044	3	17	well	well	ADV
bracis-19044	3	18	-	-	PUNCT
bracis-19044	3	19	known	know	VERB
bracis-19044	3	20	algorithms	algorithm	NOUN
bracis-19044	3	21	’	'	PUNCT
bracis-19044	3	22	structures	structure	NOUN
bracis-19044	3	23	,	,	PUNCT
bracis-19044	3	24	ensembles	ensemble	NOUN
bracis-19044	3	25	,	,	PUNCT
bracis-19044	3	26	online	online	ADJ
bracis-19044	3	27	learning	learning	NOUN
bracis-19044	3	28	and	and	CCONJ
bracis-19044	3	29	drift	drift	NOUN
bracis-19044	3	30	detection	detection	NOUN
bracis-19044	3	31	,	,	PUNCT
bracis-19044	3	32	but	but	CCONJ
bracis-19044	3	33	most	most	ADJ
bracis-19044	3	34	of	of	ADP
bracis-19044	3	35	the	the	DET
bracis-19044	3	36	cd	cd	PROPN
bracis-19044	3	37	literature	literature	PROPN
bracis-19044	3	38	regards	regard	VERB
bracis-19044	3	39	classification	classification	NOUN
bracis-19044	3	40	,	,	PUNCT
bracis-19044	3	41	while	while	SCONJ
bracis-19044	3	42	regression	regression	NOUN
bracis-19044	3	43	drift	drift	NOUN
bracis-19044	3	44	is	be	AUX
bracis-19044	3	45	still	still	ADV
bracis-19044	3	46	poorly	poorly	ADV
bracis-19044	3	47	explored	explore	VERB
bracis-19044	3	48	.	.	PUNCT
bracis-19044	4	1	objective	objective	NOUN
bracis-19044	4	2	:	:	PUNCT
bracis-19044	4	3	the	the	DET
bracis-19044	4	4	goal	goal	NOUN
bracis-19044	4	5	of	of	ADP
bracis-19044	4	6	this	this	DET
bracis-19044	4	7	work	work	NOUN
bracis-19044	4	8	is	be	AUX
bracis-19044	4	9	to	to	PART
bracis-19044	4	10	perform	perform	VERB
bracis-19044	4	11	a	a	DET
bracis-19044	4	12	comparative	comparative	ADJ
bracis-19044	4	13	study	study	NOUN
bracis-19044	4	14	of	of	ADP
bracis-19044	4	15	cd	cd	PROPN
bracis-19044	4	16	detectors	detector	NOUN
bracis-19044	4	17	in	in	ADP
bracis-19044	4	18	the	the	DET
bracis-19044	4	19	context	context	NOUN
bracis-19044	4	20	of	of	ADP
bracis-19044	4	21	regression	regression	NOUN
bracis-19044	4	22	.	.	PUNCT
bracis-19044	5	1	results	result	NOUN
bracis-19044	5	2	:	:	PUNCT
bracis-19044	5	3	we	we	PRON
bracis-19044	5	4	found	find	VERB
bracis-19044	5	5	that	that	SCONJ
bracis-19044	5	6	(	(	PUNCT
bracis-19044	5	7	i	i	NOUN
bracis-19044	5	8	)	)	PUNCT
bracis-19044	5	9	ph	ph	PROPN
bracis-19044	5	10	,	,	PUNCT
bracis-19044	5	11	kswin	kswin	PROPN
bracis-19044	5	12	and	and	CCONJ
bracis-19044	5	13	eddm	eddm	NOUN
bracis-19044	5	14	showed	show	VERB
bracis-19044	5	15	higher	high	ADJ
bracis-19044	5	16	detection	detection	NOUN
bracis-19044	5	17	averages	average	NOUN
bracis-19044	5	18	;	;	PUNCT
bracis-19044	5	19	(	(	PUNCT
bracis-19044	5	20	ii	ii	NOUN
bracis-19044	5	21	)	)	PUNCT
bracis-19044	5	22	the	the	DET
bracis-19044	5	23	base	base	NOUN
bracis-19044	5	24	learner	learner	NOUN
bracis-19044	5	25	has	have	VERB
bracis-19044	5	26	a	a	DET
bracis-19044	5	27	strong	strong	ADJ
bracis-19044	5	28	impact	impact	NOUN
bracis-19044	5	29	in	in	ADP
bracis-19044	5	30	cd	cd	NOUN
bracis-19044	5	31	detection	detection	NOUN
bracis-19044	5	32	and	and	CCONJ
bracis-19044	5	33	(	(	PUNCT
bracis-19044	5	34	iii	iii	NOUN
bracis-19044	5	35	)	)	PUNCT
bracis-19044	5	36	the	the	DET
bracis-19044	5	37	rate	rate	NOUN
bracis-19044	5	38	at	at	ADP
bracis-19044	5	39	which	which	PRON
bracis-19044	5	40	cd	cd	PROPN
bracis-19044	5	41	happens	happen	VERB
bracis-19044	5	42	also	also	ADV
bracis-19044	5	43	affects	affect	VERB
bracis-19044	5	44	the	the	DET
bracis-19044	5	45	detection	detection	NOUN
bracis-19044	5	46	process	process	NOUN
bracis-19044	5	47	.	.	PUNCT
bracis-19044	6	1	conclusion	conclusion	NOUN
bracis-19044	6	2	:	:	PUNCT
bracis-19044	6	3	our	our	PRON
bracis-19044	6	4	experiments	experiment	NOUN
bracis-19044	6	5	were	be	AUX
bracis-19044	6	6	executed	execute	VERB
bracis-19044	6	7	in	in	ADP
bracis-19044	6	8	a	a	DET
bracis-19044	6	9	framework	framework	NOUN
bracis-19044	6	10	that	that	PRON
bracis-19044	6	11	can	can	AUX
bracis-19044	6	12	easily	easily	ADV
bracis-19044	6	13	be	be	AUX
bracis-19044	6	14	extended	extend	VERB
bracis-19044	6	15	to	to	PART
bracis-19044	6	16	include	include	VERB
bracis-19044	6	17	new	new	ADJ
bracis-19044	6	18	cd	cd	NOUN
bracis-19044	6	19	detectors	detector	NOUN
bracis-19044	6	20	and	and	CCONJ
bracis-19044	6	21	base	base	NOUN
bracis-19044	6	22	learners	learner	NOUN
bracis-19044	6	23	,	,	PUNCT
bracis-19044	6	24	allowing	allow	VERB
bracis-19044	6	25	future	future	ADJ
bracis-19044	6	26	studies	study	NOUN
bracis-19044	6	27	to	to	PART
bracis-19044	6	28	use	use	VERB
bracis-19044	6	29	it	it	PRON
bracis-19044	6	30	.	.	PUNCT
bracis-19044	7	1	access	access	NOUN
bracis-19044	7	2	provided	provide	VERB
bracis-19044	7	3	by	by	ADP
bracis-19044	7	4	university	university	PROPN
bracis-19044	7	5	of	of	ADP
bracis-19044	7	6	notre	notre	PROPN
bracis-19044	7	7	dame	dame	PROPN
bracis-19044	7	8	hesburgh	hesburgh	PROPN
bracis-19044	7	9	library	library	PROPN
bracis-19044	7	10	.	.	PUNCT
bracis-19044	8	1	download	download	PROPN
bracis-19044	8	2	conference	conference	NOUN
bracis-19044	8	3	paper	paper	NOUN
bracis-19044	8	4	pdf	pdf	NOUN
bracis-19044	8	5	similar	similar	ADJ
bracis-19044	8	6	content	content	NOUN
bracis-19044	8	7	being	be	AUX
bracis-19044	8	8	viewed	view	VERB
bracis-19044	8	9	by	by	ADP
bracis-19044	8	10	others	other	NOUN
bracis-19044	8	11	a	a	DET
bracis-19044	8	12	robust	robust	ADJ
bracis-19044	8	13	probabilistic	probabilistic	ADJ
bracis-19044	8	14	framework	framework	NOUN
bracis-19044	8	15	for	for	ADP
bracis-19044	8	16	 	 	SPACE
bracis-19044	8	17	identifying	identify	VERB
bracis-19044	8	18	and	and	CCONJ
bracis-19044	8	19	 	 	SPACE
bracis-19044	8	20	evaluating	evaluate	VERB
bracis-19044	8	21	concept	concept	NOUN
bracis-19044	8	22	drift	drift	NOUN
bracis-19044	8	23	in	in	ADP
bracis-19044	8	24	 	 	SPACE
bracis-19044	8	25	abrupt	abrupt	ADJ
bracis-19044	8	26	and	and	CCONJ
bracis-19044	8	27	 	 	SPACE
bracis-19044	8	28	gradual	gradual	ADJ
bracis-19044	8	29	scenarios	scenario	NOUN
bracis-19044	8	30	chapter	chapter	NOUN
bracis-19044	8	31	©	©	NOUN
bracis-19044	8	32	2025	2025	NUM
bracis-19044	8	33	benchmarking	benchmarking	NOUN
bracis-19044	8	34	concept	concept	NOUN
bracis-19044	8	35	drift	drift	NOUN
bracis-19044	8	36	detectors	detector	NOUN
bracis-19044	8	37	for	for	ADP
bracis-19044	8	38	 	 	SPACE
bracis-19044	8	39	online	online	ADJ
bracis-19044	8	40	machine	machine	NOUN
bracis-19044	8	41	learning	learn	VERB
bracis-19044	8	42	chapter	chapter	NOUN
bracis-19044	8	43	©	©	PROPN
bracis-19044	8	44	2023	2023	NUM
bracis-19044	8	45	sddm	sddm	NOUN
bracis-19044	8	46	:	:	PUNCT
bracis-19044	8	47	an	an	DET
bracis-19044	8	48	interpretable	interpretable	ADJ
bracis-19044	8	49	statistical	statistical	ADJ
bracis-19044	8	50	concept	concept	NOUN
bracis-19044	8	51	drift	drift	NOUN
bracis-19044	8	52	detection	detection	NOUN
bracis-19044	8	53	method	method	NOUN
bracis-19044	8	54	for	for	ADP
bracis-19044	8	55	data	datum	NOUN
bracis-19044	8	56	streams	stream	NOUN
bracis-19044	8	57	article	article	NOUN
bracis-19044	8	58	05	05	NUM
bracis-19044	8	59	february	february	PROPN
bracis-19044	8	60	2021	2021	NUM
bracis-19044	8	61	explore	explore	VERB
bracis-19044	8	62	related	relate	VERB
bracis-19044	8	63	subjects	subject	NOUN
bracis-19044	8	64	discover	discover	VERB
bracis-19044	8	65	the	the	DET
bracis-19044	8	66	latest	late	ADJ
bracis-19044	8	67	articles	article	NOUN
bracis-19044	8	68	,	,	PUNCT
bracis-19044	8	69	books	book	NOUN
bracis-19044	8	70	and	and	CCONJ
bracis-19044	8	71	news	news	NOUN
bracis-19044	8	72	in	in	ADP
bracis-19044	8	73	related	related	ADJ
bracis-19044	8	74	subjects	subject	NOUN
bracis-19044	8	75	,	,	PUNCT
bracis-19044	8	76	suggested	suggest	VERB
bracis-19044	8	77	using	use	VERB
bracis-19044	8	78	machine	machine	NOUN
bracis-19044	8	79	learning	learning	NOUN
bracis-19044	8	80	.	.	PUNCT
bracis-19044	9	1	concept	concept	NOUN
bracis-19044	9	2	formation	formation	NOUN
bracis-19044	9	3	linear	linear	NOUN
bracis-19044	9	4	models	model	NOUN
bracis-19044	9	5	and	and	CCONJ
bracis-19044	9	6	regression	regression	NOUN
bracis-19044	9	7	learning	learn	VERB
bracis-19044	9	8	algorithms	algorithm	NOUN
bracis-19044	9	9	learning	learn	VERB
bracis-19044	9	10	theory	theory	NOUN
bracis-19044	9	11	machine	machine	NOUN
bracis-19044	9	12	learning	learn	VERB
bracis-19044	9	13	statistical	statistical	ADJ
bracis-19044	9	14	learning	learn	VERB
bracis-19044	9	15	1	1	NUM
bracis-19044	9	16	introduction	introduction	NOUN
bracis-19044	9	17	machine	machine	NOUN
bracis-19044	9	18	learning	learning	NOUN
bracis-19044	9	19	is	be	AUX
bracis-19044	9	20	a	a	DET
bracis-19044	9	21	sub	sub	NOUN
bracis-19044	9	22	-	-	NOUN
bracis-19044	9	23	field	field	NOUN
bracis-19044	9	24	of	of	ADP
bracis-19044	9	25	artificial	artificial	ADJ
bracis-19044	9	26	intelligence	intelligence	NOUN
bracis-19044	9	27	which	which	PRON
bracis-19044	9	28	develops	develop	VERB
bracis-19044	9	29	models	model	NOUN
bracis-19044	9	30	that	that	PRON
bracis-19044	9	31	are	be	AUX
bracis-19044	9	32	able	able	ADJ
bracis-19044	9	33	to	to	PART
bracis-19044	9	34	learn	learn	VERB
bracis-19044	9	35	from	from	ADP
bracis-19044	9	36	data	datum	NOUN
bracis-19044	9	37	.	.	PUNCT
bracis-19044	10	1	learning	learn	VERB
bracis-19044	10	2	usually	usually	ADV
bracis-19044	10	3	happens	happen	VERB
bracis-19044	10	4	statically	statically	ADV
bracis-19044	10	5	with	with	ADP
bracis-19044	10	6	fixed	fix	VERB
bracis-19044	10	7	labels	label	NOUN
bracis-19044	10	8	during	during	ADP
bracis-19044	10	9	the	the	DET
bracis-19044	10	10	process	process	NOUN
bracis-19044	10	11	.	.	PUNCT
bracis-19044	11	1	in	in	ADP
bracis-19044	11	2	the	the	DET
bracis-19044	11	3	context	context	NOUN
bracis-19044	11	4	of	of	ADP
bracis-19044	11	5	regression	regression	NOUN
bracis-19044	11	6	with	with	ADP
bracis-19044	11	7	continuous	continuous	ADJ
bracis-19044	11	8	dependent	dependent	ADJ
bracis-19044	11	9	variables	variable	NOUN
bracis-19044	11	10	,	,	PUNCT
bracis-19044	11	11	many	many	ADJ
bracis-19044	11	12	models	model	NOUN
bracis-19044	11	13	have	have	AUX
bracis-19044	11	14	been	be	AUX
bracis-19044	11	15	proposed	propose	VERB
bracis-19044	11	16	with	with	ADP
bracis-19044	11	17	useful	useful	ADJ
bracis-19044	11	18	results	result	NOUN
bracis-19044	11	19	in	in	ADP
bracis-19044	11	20	many	many	ADJ
bracis-19044	11	21	scenarios	scenario	NOUN
bracis-19044	11	22	.	.	PUNCT
bracis-19044	12	1	however	however	ADV
bracis-19044	12	2	,	,	PUNCT
bracis-19044	12	3	there	there	PRON
bracis-19044	12	4	has	have	AUX
bracis-19044	12	5	been	be	AUX
bracis-19044	12	6	a	a	DET
bracis-19044	12	7	growing	grow	VERB
bracis-19044	12	8	interest	interest	NOUN
bracis-19044	12	9	in	in	ADP
bracis-19044	12	10	models	model	NOUN
bracis-19044	12	11	that	that	PRON
bracis-19044	12	12	are	be	AUX
bracis-19044	12	13	able	able	ADJ
bracis-19044	12	14	to	to	PART
bracis-19044	12	15	process	process	VERB
bracis-19044	12	16	streams	stream	NOUN
bracis-19044	12	17	of	of	ADP
bracis-19044	12	18	data	datum	NOUN
bracis-19044	12	19	and	and	CCONJ
bracis-19044	12	20	can	can	AUX
bracis-19044	12	21	learn	learn	VERB
bracis-19044	12	22	incrementally	incrementally	ADV
bracis-19044	12	23	[	[	X
bracis-19044	12	24	10	10	NUM
bracis-19044	12	25	]	]	PUNCT
bracis-19044	12	26	.	.	PUNCT
bracis-19044	13	1	while	while	SCONJ
bracis-19044	13	2	working	work	VERB
bracis-19044	13	3	with	with	ADP
bracis-19044	13	4	data	datum	NOUN
bracis-19044	13	5	streams	stream	NOUN
bracis-19044	13	6	,	,	PUNCT
bracis-19044	13	7	models	model	NOUN
bracis-19044	13	8	often	often	ADV
bracis-19044	13	9	face	face	VERB
bracis-19044	13	10	changes	change	NOUN
bracis-19044	13	11	in	in	ADP
bracis-19044	13	12	the	the	DET
bracis-19044	13	13	probability	probability	NOUN
bracis-19044	13	14	distribution	distribution	NOUN
bracis-19044	13	15	of	of	ADP
bracis-19044	13	16	input	input	NOUN
bracis-19044	13	17	data	datum	NOUN
bracis-19044	13	18	,	,	PUNCT
bracis-19044	13	19	which	which	PRON
bracis-19044	13	20	can	can	AUX
bracis-19044	13	21	negatively	negatively	ADV
bracis-19044	13	22	affect	affect	VERB
bracis-19044	13	23	performance	performance	NOUN
bracis-19044	13	24	if	if	SCONJ
bracis-19044	13	25	the	the	DET
bracis-19044	13	26	model	model	NOUN
bracis-19044	13	27	was	be	AUX
bracis-19044	13	28	trained	train	VERB
bracis-19044	13	29	on	on	ADP
bracis-19044	13	30	data	datum	NOUN
bracis-19044	13	31	sampled	sample	VERB
bracis-19044	13	32	from	from	ADP
bracis-19044	13	33	a	a	DET
bracis-19044	13	34	significantly	significantly	ADV
bracis-19044	13	35	different	different	ADJ
bracis-19044	13	36	distribution	distribution	NOUN
bracis-19044	13	37	.	.	PUNCT
bracis-19044	14	1	this	this	DET
bracis-19044	14	2	problem	problem	NOUN
bracis-19044	14	3	is	be	AUX
bracis-19044	14	4	most	most	ADV
bracis-19044	14	5	commonly	commonly	ADV
bracis-19044	14	6	referred	refer	VERB
bracis-19044	14	7	to	to	ADP
bracis-19044	14	8	as	as	ADP
bracis-19044	14	9	concept	concept	NOUN
bracis-19044	14	10	drift	drift	NOUN
bracis-19044	14	11	(	(	PUNCT
bracis-19044	14	12	cd	cd	PROPN
bracis-19044	14	13	)	)	PUNCT
bracis-19044	14	14	.	.	PUNCT
bracis-19044	15	1	cd	cd	PROPN
bracis-19044	15	2	can	can	AUX
bracis-19044	15	3	happen	happen	VERB
bracis-19044	15	4	in	in	ADP
bracis-19044	15	5	many	many	ADJ
bracis-19044	15	6	different	different	ADJ
bracis-19044	15	7	scenarios	scenario	NOUN
bracis-19044	15	8	,	,	PUNCT
bracis-19044	15	9	such	such	ADJ
bracis-19044	15	10	as	as	ADP
bracis-19044	15	11	weather	weather	NOUN
bracis-19044	15	12	forecasting	forecasting	NOUN
bracis-19044	15	13	,	,	PUNCT
bracis-19044	15	14	stock	stock	NOUN
bracis-19044	15	15	price	price	NOUN
bracis-19044	15	16	prediction	prediction	NOUN
bracis-19044	15	17	and	and	CCONJ
bracis-19044	15	18	fake	fake	ADJ
bracis-19044	15	19	news	news	NOUN
bracis-19044	15	20	identification	identification	NOUN
bracis-19044	15	21	[	[	X
bracis-19044	15	22	17	17	NUM
bracis-19044	15	23	]	]	PUNCT
bracis-19044	15	24	.	.	PUNCT
bracis-19044	16	1	cd	cd	PROPN
bracis-19044	16	2	might	might	AUX
bracis-19044	16	3	happen	happen	VERB
bracis-19044	16	4	in	in	ADP
bracis-19044	16	5	the	the	DET
bracis-19044	16	6	conditional	conditional	ADJ
bracis-19044	16	7	distribution	distribution	NOUN
bracis-19044	16	8	of	of	ADP
bracis-19044	16	9	the	the	DET
bracis-19044	16	10	dependent	dependent	ADJ
bracis-19044	16	11	variable	variable	NOUN
bracis-19044	16	12	given	give	VERB
bracis-19044	16	13	the	the	DET
bracis-19044	16	14	predictors	predictor	NOUN
bracis-19044	16	15	,	,	PUNCT
bracis-19044	16	16	which	which	PRON
bracis-19044	16	17	is	be	AUX
bracis-19044	16	18	called	call	VERB
bracis-19044	16	19	real	real	ADJ
bracis-19044	16	20	drift	drift	NOUN
bracis-19044	16	21	,	,	PUNCT
bracis-19044	16	22	or	or	CCONJ
bracis-19044	16	23	it	it	PRON
bracis-19044	16	24	can	can	AUX
bracis-19044	16	25	affect	affect	VERB
bracis-19044	16	26	only	only	ADV
bracis-19044	16	27	the	the	DET
bracis-19044	16	28	independent	independent	ADJ
bracis-19044	16	29	variable	variable	ADJ
bracis-19044	16	30	distribution	distribution	NOUN
bracis-19044	16	31	,	,	PUNCT
bracis-19044	16	32	which	which	PRON
bracis-19044	16	33	is	be	AUX
bracis-19044	16	34	called	call	VERB
bracis-19044	16	35	virtual	virtual	ADJ
bracis-19044	16	36	drift	drift	NOUN
bracis-19044	16	37	[	[	X
bracis-19044	16	38	12	12	NUM
bracis-19044	16	39	]	]	PUNCT
bracis-19044	16	40	.	.	PUNCT
bracis-19044	17	1	due	due	ADP
bracis-19044	17	2	to	to	ADP
bracis-19044	17	3	its	its	PRON
bracis-19044	17	4	significance	significance	NOUN
bracis-19044	17	5	,	,	PUNCT
bracis-19044	17	6	cd	cd	PROPN
bracis-19044	17	7	has	have	AUX
bracis-19044	17	8	been	be	AUX
bracis-19044	17	9	widely	widely	ADV
bracis-19044	17	10	studied	study	VERB
bracis-19044	17	11	in	in	ADP
bracis-19044	17	12	recent	recent	ADJ
bracis-19044	17	13	years	year	NOUN
bracis-19044	17	14	with	with	ADP
bracis-19044	17	15	approaches	approach	NOUN
bracis-19044	17	16	involving	involve	VERB
bracis-19044	17	17	structural	structural	ADJ
bracis-19044	17	18	changes	change	NOUN
bracis-19044	17	19	applied	apply	VERB
bracis-19044	17	20	to	to	ADP
bracis-19044	17	21	well	well	ADV
bracis-19044	17	22	-	-	PUNCT
bracis-19044	17	23	known	know	VERB
bracis-19044	17	24	models	model	NOUN
bracis-19044	17	25	,	,	PUNCT
bracis-19044	17	26	ensembles	ensemble	NOUN
bracis-19044	17	27	and	and	CCONJ
bracis-19044	17	28	drift	drift	NOUN
bracis-19044	17	29	detection	detection	NOUN
bracis-19044	17	30	.	.	PUNCT
bracis-19044	18	1	however	however	ADV
bracis-19044	18	2	,	,	PUNCT
bracis-19044	18	3	most	most	ADJ
bracis-19044	18	4	of	of	ADP
bracis-19044	18	5	these	these	DET
bracis-19044	18	6	works	work	NOUN
bracis-19044	18	7	targeted	target	VERB
bracis-19044	18	8	the	the	DET
bracis-19044	18	9	task	task	NOUN
bracis-19044	18	10	of	of	ADP
bracis-19044	18	11	classification	classification	NOUN
bracis-19044	18	12	.	.	PUNCT
bracis-19044	19	1	in	in	ADP
bracis-19044	19	2	this	this	DET
bracis-19044	19	3	context	context	NOUN
bracis-19044	19	4	,	,	PUNCT
bracis-19044	19	5	gonçalves	gonçalves	PROPN
bracis-19044	19	6	et	et	PROPN
bracis-19044	19	7	al	al	PROPN
bracis-19044	19	8	.	.	PROPN
bracis-19044	20	1	(	(	PUNCT
bracis-19044	20	2	2014	2014	NUM
bracis-19044	20	3	)	)	PUNCT
bracis-19044	21	1	[	[	X
bracis-19044	21	2	9	9	NUM
bracis-19044	21	3	]	]	PUNCT
bracis-19044	21	4	ran	run	VERB
bracis-19044	21	5	a	a	DET
bracis-19044	21	6	large	large	ADJ
bracis-19044	21	7	comparative	comparative	ADJ
bracis-19044	21	8	study	study	NOUN
bracis-19044	21	9	of	of	ADP
bracis-19044	21	10	cd	cd	PROPN
bracis-19044	21	11	detectors	detector	NOUN
bracis-19044	21	12	using	use	VERB
bracis-19044	21	13	naive	naive	ADJ
bracis-19044	21	14	bayes	bayes	NOUN
bracis-19044	21	15	as	as	ADP
bracis-19044	21	16	the	the	DET
bracis-19044	21	17	base	base	NOUN
bracis-19044	21	18	learner	learner	NOUN
bracis-19044	21	19	.	.	PUNCT
bracis-19044	22	1	their	their	PRON
bracis-19044	22	2	work	work	NOUN
bracis-19044	22	3	showed	show	VERB
bracis-19044	22	4	that	that	SCONJ
bracis-19044	22	5	there	there	PRON
bracis-19044	22	6	is	be	VERB
bracis-19044	22	7	no	no	DET
bracis-19044	22	8	single	single	ADJ
bracis-19044	22	9	best	good	ADJ
bracis-19044	22	10	cd	cd	NOUN
bracis-19044	22	11	detector	detector	NOUN
bracis-19044	22	12	and	and	CCONJ
bracis-19044	22	13	performance	performance	NOUN
bracis-19044	22	14	depends	depend	VERB
bracis-19044	22	15	on	on	ADP
bracis-19044	22	16	the	the	DET
bracis-19044	22	17	pair	pair	NOUN
bracis-19044	22	18	(	(	PUNCT
bracis-19044	22	19	dataset	dataset	NOUN
bracis-19044	22	20	,	,	PUNCT
bracis-19044	22	21	cd	cd	NOUN
bracis-19044	22	22	detector	detector	NOUN
bracis-19044	22	23	)	)	PUNCT
bracis-19044	22	24	,	,	PUNCT
bracis-19044	22	25	i.e.	i.e.	X
bracis-19044	22	26	“	"	PUNCT
bracis-19044	22	27	there	there	PRON
bracis-19044	22	28	is	be	VERB
bracis-19044	22	29	no	no	DET
bracis-19044	22	30	free	free	ADJ
bracis-19044	22	31	lunch	lunch	NOUN
bracis-19044	22	32	”	"	PUNCT
bracis-19044	22	33	,	,	PUNCT
bracis-19044	22	34	as	as	SCONJ
bracis-19044	22	35	expected	expect	VERB
bracis-19044	22	36	in	in	ADP
bracis-19044	22	37	machine	machine	NOUN
bracis-19044	22	38	learning	learning	NOUN
bracis-19044	22	39	.	.	PUNCT
bracis-19044	23	1	these	these	DET
bracis-19044	23	2	results	result	NOUN
bracis-19044	23	3	motivate	motivate	VERB
bracis-19044	23	4	a	a	DET
bracis-19044	23	5	similar	similar	ADJ
bracis-19044	23	6	study	study	NOUN
bracis-19044	23	7	in	in	ADP
bracis-19044	23	8	the	the	DET
bracis-19044	23	9	context	context	NOUN
bracis-19044	23	10	of	of	ADP
bracis-19044	23	11	regression	regression	NOUN
bracis-19044	23	12	with	with	ADP
bracis-19044	23	13	continuous	continuous	ADJ
bracis-19044	23	14	targets	target	NOUN
bracis-19044	23	15	.	.	PUNCT
bracis-19044	24	1	therefore	therefore	ADV
bracis-19044	24	2	,	,	PUNCT
bracis-19044	24	3	this	this	DET
bracis-19044	24	4	paper	paper	NOUN
bracis-19044	24	5	’s	’s	PART
bracis-19044	24	6	main	main	ADJ
bracis-19044	24	7	contribution	contribution	NOUN
bracis-19044	24	8	is	be	AUX
bracis-19044	24	9	to	to	PART
bracis-19044	24	10	perform	perform	VERB
bracis-19044	24	11	a	a	DET
bracis-19044	24	12	wide	wide	ADJ
bracis-19044	24	13	comparative	comparative	ADJ
bracis-19044	24	14	study	study	NOUN
bracis-19044	24	15	of	of	ADP
bracis-19044	24	16	cd	cd	PROPN
bracis-19044	24	17	detectors	detector	NOUN
bracis-19044	24	18	for	for	ADP
bracis-19044	24	19	regression	regression	NOUN
bracis-19044	24	20	.	.	PUNCT
bracis-19044	25	1	we	we	PRON
bracis-19044	25	2	used	use	VERB
bracis-19044	25	3	seven	seven	NUM
bracis-19044	25	4	different	different	ADJ
bracis-19044	25	5	cd	cd	NOUN
bracis-19044	25	6	detectors	detector	NOUN
bracis-19044	25	7	together	together	ADV
bracis-19044	25	8	with	with	ADP
bracis-19044	25	9	10	10	NUM
bracis-19044	25	10	regression	regression	NOUN
bracis-19044	25	11	models	model	NOUN
bracis-19044	25	12	.	.	PUNCT
bracis-19044	26	1	the	the	DET
bracis-19044	26	2	70	70	NUM
bracis-19044	26	3	detector	detector	NOUN
bracis-19044	26	4	-	-	PUNCT
bracis-19044	26	5	base	base	NOUN
bracis-19044	26	6	learner	learner	NOUN
bracis-19044	26	7	combinations	combination	NOUN
bracis-19044	26	8	were	be	AUX
bracis-19044	26	9	applied	apply	VERB
bracis-19044	26	10	to	to	ADP
bracis-19044	26	11	four	four	NUM
bracis-19044	26	12	synthetic	synthetic	ADJ
bracis-19044	26	13	and	and	CCONJ
bracis-19044	26	14	four	four	NUM
bracis-19044	26	15	real	real	ADJ
bracis-19044	26	16	datasets	dataset	NOUN
bracis-19044	26	17	with	with	ADP
bracis-19044	26	18	virtual	virtual	ADJ
bracis-19044	26	19	cd	cd	PROPN
bracis-19044	26	20	.	.	PUNCT
bracis-19044	27	1	thus	thus	ADV
bracis-19044	27	2	,	,	PUNCT
bracis-19044	27	3	our	our	PRON
bracis-19044	27	4	study	study	NOUN
bracis-19044	27	5	presents	present	VERB
bracis-19044	27	6	significant	significant	ADJ
bracis-19044	27	7	variation	variation	NOUN
bracis-19044	27	8	of	of	ADP
bracis-19044	27	9	base	base	NOUN
bracis-19044	27	10	learners	learner	NOUN
bracis-19044	27	11	,	,	PUNCT
bracis-19044	27	12	detectors	detector	NOUN
bracis-19044	27	13	and	and	CCONJ
bracis-19044	27	14	datasets	dataset	NOUN
bracis-19044	27	15	.	.	PUNCT
bracis-19044	28	1	experiments	experiment	NOUN
bracis-19044	28	2	were	be	AUX
bracis-19044	28	3	evaluated	evaluate	VERB
bracis-19044	28	4	according	accord	VERB
bracis-19044	28	5	to	to	ADP
bracis-19044	28	6	prediction	prediction	NOUN
bracis-19044	28	7	error	error	NOUN
bracis-19044	28	8	and	and	CCONJ
bracis-19044	28	9	number	number	NOUN
bracis-19044	28	10	of	of	ADP
bracis-19044	28	11	detected	detect	VERB
bracis-19044	28	12	drift	drift	NOUN
bracis-19044	28	13	points	point	NOUN
bracis-19044	28	14	.	.	PUNCT
bracis-19044	29	1	as	as	ADP
bracis-19044	29	2	another	another	DET
bracis-19044	29	3	contribution	contribution	NOUN
bracis-19044	29	4	,	,	PUNCT
bracis-19044	29	5	we	we	PRON
bracis-19044	29	6	develop	develop	VERB
bracis-19044	29	7	our	our	PRON
bracis-19044	29	8	work	work	NOUN
bracis-19044	29	9	such	such	ADJ
bracis-19044	29	10	that	that	SCONJ
bracis-19044	29	11	future	future	ADJ
bracis-19044	29	12	research	research	NOUN
bracis-19044	29	13	can	can	AUX
bracis-19044	29	14	easily	easily	ADV
bracis-19044	29	15	expand	expand	VERB
bracis-19044	29	16	it	it	PRON
bracis-19044	29	17	by	by	ADP
bracis-19044	29	18	adding	add	VERB
bracis-19044	29	19	new	new	ADJ
bracis-19044	29	20	detectors	detector	NOUN
bracis-19044	29	21	,	,	PUNCT
bracis-19044	29	22	base	base	NOUN
bracis-19044	29	23	learners	learner	NOUN
bracis-19044	29	24	and	and	CCONJ
bracis-19044	29	25	datasets	dataset	NOUN
bracis-19044	29	26	.	.	PUNCT
bracis-19044	30	1	in	in	ADP
bracis-19044	30	2	addition	addition	NOUN
bracis-19044	30	3	,	,	PUNCT
bracis-19044	30	4	this	this	DET
bracis-19044	30	5	study	study	NOUN
bracis-19044	30	6	focuses	focus	VERB
bracis-19044	30	7	on	on	ADP
bracis-19044	30	8	continuous	continuous	ADJ
bracis-19044	30	9	outputs	output	NOUN
bracis-19044	30	10	in	in	ADP
bracis-19044	30	11	the	the	DET
bracis-19044	30	12	dependent	dependent	ADJ
bracis-19044	30	13	variable	variable	NOUN
bracis-19044	30	14	,	,	PUNCT
bracis-19044	30	15	which	which	PRON
bracis-19044	30	16	is	be	AUX
bracis-19044	30	17	still	still	ADV
bracis-19044	30	18	scarcely	scarcely	ADV
bracis-19044	30	19	explored	explore	VERB
bracis-19044	30	20	in	in	ADP
bracis-19044	30	21	the	the	DET
bracis-19044	30	22	literature	literature	NOUN
bracis-19044	30	23	.	.	PUNCT
bracis-19044	31	1	the	the	DET
bracis-19044	31	2	rest	rest	NOUN
bracis-19044	31	3	of	of	ADP
bracis-19044	31	4	this	this	DET
bracis-19044	31	5	paper	paper	NOUN
bracis-19044	31	6	is	be	AUX
bracis-19044	31	7	organized	organize	VERB
bracis-19044	31	8	as	as	SCONJ
bracis-19044	31	9	follows	follow	VERB
bracis-19044	31	10	:	:	PUNCT
bracis-19044	31	11	sect	sect	NOUN
bracis-19044	31	12	.	.	PUNCT
bracis-19044	31	13	 	 	SPACE
bracis-19044	32	1	2	2	NUM
bracis-19044	32	2	presents	present	VERB
bracis-19044	32	3	the	the	DET
bracis-19044	32	4	drift	drift	NOUN
bracis-19044	32	5	detection	detection	NOUN
bracis-19044	32	6	methods	method	NOUN
bracis-19044	32	7	.	.	PUNCT
bracis-19044	33	1	section	section	NOUN
bracis-19044	33	2	 	 	SPACE
bracis-19044	33	3	3	3	NUM
bracis-19044	33	4	describes	describe	VERB
bracis-19044	33	5	the	the	DET
bracis-19044	33	6	parameters	parameter	NOUN
bracis-19044	33	7	used	use	VERB
bracis-19044	33	8	in	in	ADP
bracis-19044	33	9	the	the	DET
bracis-19044	33	10	drift	drift	NOUN
bracis-19044	33	11	detectors	detector	NOUN
bracis-19044	33	12	,	,	PUNCT
bracis-19044	33	13	the	the	DET
bracis-19044	33	14	datasets	dataset	NOUN
bracis-19044	33	15	used	use	VERB
bracis-19044	33	16	in	in	ADP
bracis-19044	33	17	the	the	DET
bracis-19044	33	18	experiments	experiment	NOUN
bracis-19044	33	19	,	,	PUNCT
bracis-19044	33	20	and	and	CCONJ
bracis-19044	33	21	the	the	DET
bracis-19044	33	22	adopted	adopt	VERB
bracis-19044	33	23	evaluation	evaluation	NOUN
bracis-19044	33	24	methodology	methodology	NOUN
bracis-19044	33	25	.	.	PUNCT
bracis-19044	34	1	the	the	DET
bracis-19044	34	2	results	result	NOUN
bracis-19044	34	3	obtained	obtain	VERB
bracis-19044	34	4	in	in	ADP
bracis-19044	34	5	the	the	DET
bracis-19044	34	6	experiments	experiment	NOUN
bracis-19044	34	7	are	be	AUX
bracis-19044	34	8	analyzed	analyze	VERB
bracis-19044	34	9	in	in	ADP
bracis-19044	34	10	sect	sect	NOUN
bracis-19044	34	11	.	.	PUNCT
bracis-19044	34	12	 	 	SPACE
bracis-19044	35	1	4	4	X
bracis-19044	35	2	.	.	PUNCT
bracis-19044	36	1	finally	finally	ADV
bracis-19044	36	2	,	,	PUNCT
bracis-19044	36	3	sect	sect	NOUN
bracis-19044	36	4	.	.	PUNCT
bracis-19044	36	5	 	 	SPACE
bracis-19044	36	6	5	5	NUM
bracis-19044	36	7	presents	present	VERB
bracis-19044	36	8	our	our	PRON
bracis-19044	36	9	conclusions	conclusion	NOUN
bracis-19044	36	10	.	.	PUNCT
bracis-19044	37	1	2	2	NUM
bracis-19044	37	2	background	background	NOUN
bracis-19044	37	3	cd	cd	NOUN
bracis-19044	37	4	detection	detection	NOUN
bracis-19044	37	5	methods	method	NOUN
bracis-19044	37	6	use	use	VERB
bracis-19044	37	7	a	a	DET
bracis-19044	37	8	base	base	ADJ
bracis-19044	37	9	learner	learner	NOUN
bracis-19044	37	10	(	(	PUNCT
bracis-19044	37	11	regressor	regressor	NOUN
bracis-19044	37	12	/	/	SYM
bracis-19044	37	13	classifier	classifier	NOUN
bracis-19044	37	14	)	)	PUNCT
bracis-19044	37	15	to	to	PART
bracis-19044	37	16	identify	identify	VERB
bracis-19044	37	17	if	if	SCONJ
bracis-19044	37	18	an	an	DET
bracis-19044	37	19	input	input	NOUN
bracis-19044	37	20	is	be	AUX
bracis-19044	37	21	a	a	DET
bracis-19044	37	22	drift	drift	NOUN
bracis-19044	37	23	point	point	NOUN
bracis-19044	37	24	,	,	PUNCT
bracis-19044	37	25	i.e.	i.e.	X
bracis-19044	37	26	for	for	ADP
bracis-19044	37	27	each	each	DET
bracis-19044	37	28	instance	instance	NOUN
bracis-19044	37	29	the	the	DET
bracis-19044	37	30	method	method	NOUN
bracis-19044	37	31	outputs	output	VERB
bracis-19044	37	32	a	a	DET
bracis-19044	37	33	drift	drift	NOUN
bracis-19044	37	34	prediction	prediction	NOUN
bracis-19044	37	35	based	base	VERB
bracis-19044	37	36	on	on	ADP
bracis-19044	37	37	the	the	DET
bracis-19044	37	38	base	base	ADJ
bracis-19044	37	39	learner	learner	NOUN
bracis-19044	37	40	prediction	prediction	NOUN
bracis-19044	37	41	and	and	CCONJ
bracis-19044	37	42	the	the	DET
bracis-19044	37	43	observed	observed	ADJ
bracis-19044	37	44	target	target	NOUN
bracis-19044	37	45	value	value	NOUN
bracis-19044	37	46	.	.	PUNCT
bracis-19044	38	1	most	most	ADJ
bracis-19044	38	2	detectors	detector	NOUN
bracis-19044	38	3	perform	perform	VERB
bracis-19044	38	4	this	this	DET
bracis-19044	38	5	analysis	analysis	NOUN
bracis-19044	38	6	in	in	ADP
bracis-19044	38	7	groups	group	NOUN
bracis-19044	38	8	of	of	ADP
bracis-19044	38	9	instances	instance	NOUN
bracis-19044	38	10	at	at	ADP
bracis-19044	38	11	each	each	DET
bracis-19044	38	12	time	time	NOUN
bracis-19044	38	13	.	.	PUNCT
bracis-19044	39	1	many	many	ADJ
bracis-19044	39	2	detectors	detector	NOUN
bracis-19044	39	3	have	have	AUX
bracis-19044	39	4	been	be	AUX
bracis-19044	39	5	proposed	propose	VERB
bracis-19044	39	6	for	for	ADP
bracis-19044	39	7	regression	regression	NOUN
bracis-19044	39	8	.	.	PUNCT
bracis-19044	40	1	one	one	NUM
bracis-19044	40	2	of	of	ADP
bracis-19044	40	3	the	the	DET
bracis-19044	40	4	first	first	ADJ
bracis-19044	40	5	was	be	AUX
bracis-19044	40	6	the	the	DET
bracis-19044	40	7	drift	drift	NOUN
bracis-19044	40	8	detection	detection	NOUN
bracis-19044	40	9	method	method	NOUN
bracis-19044	40	10	(	(	PUNCT
bracis-19044	40	11	ddm	ddm	PROPN
bracis-19044	40	12	)	)	PUNCT
bracis-19044	41	1	[	[	X
bracis-19044	41	2	8	8	NUM
bracis-19044	41	3	]	]	PUNCT
bracis-19044	41	4	,	,	PUNCT
bracis-19044	41	5	which	which	PRON
bracis-19044	41	6	is	be	AUX
bracis-19044	41	7	based	base	VERB
bracis-19044	41	8	on	on	ADP
bracis-19044	41	9	the	the	DET
bracis-19044	41	10	idea	idea	NOUN
bracis-19044	41	11	that	that	SCONJ
bracis-19044	41	12	the	the	DET
bracis-19044	41	13	base	base	NOUN
bracis-19044	41	14	learner	learner	NOUN
bracis-19044	41	15	’s	’s	PART
bracis-19044	41	16	error	error	NOUN
bracis-19044	41	17	rate	rate	NOUN
bracis-19044	41	18	decreases	decrease	VERB
bracis-19044	41	19	as	as	ADP
bracis-19044	41	20	the	the	DET
bracis-19044	41	21	number	number	NOUN
bracis-19044	41	22	of	of	ADP
bracis-19044	41	23	samples	sample	NOUN
bracis-19044	41	24	increases	increase	NOUN
bracis-19044	41	25	,	,	PUNCT
bracis-19044	41	26	as	as	ADV
bracis-19044	41	27	long	long	ADV
bracis-19044	41	28	as	as	SCONJ
bracis-19044	41	29	the	the	DET
bracis-19044	41	30	data	data	NOUN
bracis-19044	41	31	distribution	distribution	NOUN
bracis-19044	41	32	is	be	AUX
bracis-19044	41	33	stationary	stationary	ADJ
bracis-19044	41	34	.	.	PUNCT
bracis-19044	42	1	if	if	SCONJ
bracis-19044	42	2	ddm	ddm	PROPN
bracis-19044	42	3	finds	find	VERB
bracis-19044	42	4	an	an	DET
bracis-19044	42	5	increased	increase	VERB
bracis-19044	42	6	error	error	NOUN
bracis-19044	42	7	rate	rate	NOUN
bracis-19044	42	8	above	above	ADP
bracis-19044	42	9	a	a	DET
bracis-19044	42	10	calculated	calculate	VERB
bracis-19044	42	11	threshold	threshold	NOUN
bracis-19044	42	12	,	,	PUNCT
bracis-19044	42	13	it	it	PRON
bracis-19044	42	14	detects	detect	VERB
bracis-19044	42	15	that	that	PRON
bracis-19044	42	16	cd	cd	PROPN
bracis-19044	42	17	has	have	AUX
bracis-19044	42	18	happened	happen	VERB
bracis-19044	42	19	.	.	PUNCT
bracis-19044	43	1	the	the	DET
bracis-19044	43	2	threshold	threshold	NOUN
bracis-19044	43	3	is	be	AUX
bracis-19044	43	4	given	give	VERB
bracis-19044	43	5	by	by	ADP
bracis-19044	43	6	\(p_{min}+s_{min}\	\(p_{min}+s_{min}\	NUM
bracis-19044	43	7	)	)	PUNCT
bracis-19044	43	8	is	be	AUX
bracis-19044	43	9	minimum	minimum	ADJ
bracis-19044	43	10	.	.	PUNCT
bracis-19044	44	1	where	where	SCONJ
bracis-19044	44	2	,	,	PUNCT
bracis-19044	44	3	\(p_{min}\	\(p_{min}\	PROPN
bracis-19044	44	4	)	)	PUNCT
bracis-19044	44	5	is	be	AUX
bracis-19044	44	6	the	the	DET
bracis-19044	44	7	minimum	minimum	ADJ
bracis-19044	44	8	recorded	record	VERB
bracis-19044	44	9	error	error	NOUN
bracis-19044	44	10	rate	rate	NOUN
bracis-19044	44	11	and	and	CCONJ
bracis-19044	44	12	\(s_{min}\	\(s_{min}\	PROPN
bracis-19044	44	13	)	)	PUNCT
bracis-19044	44	14	is	be	AUX
bracis-19044	44	15	the	the	DET
bracis-19044	44	16	minimum	minimum	ADJ
bracis-19044	44	17	recorded	record	VERB
bracis-19044	44	18	standard	standard	ADJ
bracis-19044	44	19	deviation	deviation	NOUN
bracis-19044	44	20	.	.	PUNCT
bracis-19044	45	1	ddm	ddm	PROPN
bracis-19044	45	2	was	be	AUX
bracis-19044	45	3	later	later	ADV
bracis-19044	45	4	extended	extend	VERB
bracis-19044	45	5	to	to	PART
bracis-19044	45	6	monitor	monitor	VERB
bracis-19044	45	7	the	the	DET
bracis-19044	45	8	average	average	ADJ
bracis-19044	45	9	distance	distance	NOUN
bracis-19044	45	10	between	between	ADP
bracis-19044	45	11	two	two	NUM
bracis-19044	45	12	errors	error	NOUN
bracis-19044	45	13	instead	instead	ADV
bracis-19044	45	14	of	of	ADP
bracis-19044	45	15	only	only	ADV
bracis-19044	45	16	the	the	DET
bracis-19044	45	17	error	error	NOUN
bracis-19044	45	18	rate	rate	NOUN
bracis-19044	45	19	.	.	PUNCT
bracis-19044	46	1	this	this	DET
bracis-19044	46	2	new	new	ADJ
bracis-19044	46	3	method	method	NOUN
bracis-19044	46	4	was	be	AUX
bracis-19044	46	5	called	call	VERB
bracis-19044	46	6	early	early	ADJ
bracis-19044	46	7	drift	drift	NOUN
bracis-19044	46	8	detection	detection	NOUN
bracis-19044	46	9	method	method	NOUN
bracis-19044	46	10	(	(	PUNCT
bracis-19044	46	11	eddm	eddm	NOUN
bracis-19044	46	12	)	)	PUNCT
bracis-19044	47	1	[	[	X
bracis-19044	47	2	2	2	NUM
bracis-19044	47	3	]	]	PUNCT
bracis-19044	47	4	.	.	PUNCT
bracis-19044	48	1	a	a	DET
bracis-19044	48	2	different	different	ADJ
bracis-19044	48	3	approach	approach	NOUN
bracis-19044	48	4	,	,	PUNCT
bracis-19044	48	5	called	call	VERB
bracis-19044	48	6	adaptive	adaptive	ADJ
bracis-19044	48	7	windowing	windowing	NOUN
bracis-19044	48	8	(	(	PUNCT
bracis-19044	48	9	adwin	adwin	PROPN
bracis-19044	48	10	)	)	PUNCT
bracis-19044	49	1	[	[	X
bracis-19044	49	2	4	4	NUM
bracis-19044	49	3	]	]	PUNCT
bracis-19044	49	4	,	,	PUNCT
bracis-19044	49	5	is	be	AUX
bracis-19044	49	6	a	a	DET
bracis-19044	49	7	sliding	slide	VERB
bracis-19044	49	8	window	window	NOUN
bracis-19044	49	9	algorithm	algorithm	NOUN
bracis-19044	49	10	which	which	PRON
bracis-19044	49	11	detects	detect	NOUN
bracis-19044	49	12	drifts	drift	NOUN
bracis-19044	49	13	and	and	CCONJ
bracis-19044	49	14	records	record	NOUN
bracis-19044	49	15	updated	update	VERB
bracis-19044	49	16	statistics	statistic	NOUN
bracis-19044	49	17	about	about	ADP
bracis-19044	49	18	data	datum	NOUN
bracis-19044	49	19	streams	stream	NOUN
bracis-19044	49	20	.	.	PUNCT
bracis-19044	50	1	the	the	DET
bracis-19044	50	2	size	size	NOUN
bracis-19044	50	3	of	of	ADP
bracis-19044	50	4	the	the	DET
bracis-19044	50	5	sliding	slide	VERB
bracis-19044	50	6	window	window	NOUN
bracis-19044	50	7	is	be	AUX
bracis-19044	50	8	decided	decide	VERB
bracis-19044	50	9	based	base	VERB
bracis-19044	50	10	on	on	ADP
bracis-19044	50	11	statistics	statistic	NOUN
bracis-19044	50	12	calculated	calculate	VERB
bracis-19044	50	13	at	at	ADP
bracis-19044	50	14	different	different	ADJ
bracis-19044	50	15	points	point	NOUN
bracis-19044	50	16	of	of	ADP
bracis-19044	50	17	the	the	DET
bracis-19044	50	18	stream	stream	NOUN
bracis-19044	50	19	.	.	PUNCT
bracis-19044	51	1	if	if	SCONJ
bracis-19044	51	2	the	the	DET
bracis-19044	51	3	difference	difference	NOUN
bracis-19044	51	4	between	between	ADP
bracis-19044	51	5	the	the	DET
bracis-19044	51	6	calculated	calculate	VERB
bracis-19044	51	7	statistics	statistic	NOUN
bracis-19044	51	8	is	be	AUX
bracis-19044	51	9	higher	high	ADJ
bracis-19044	51	10	than	than	ADP
bracis-19044	51	11	a	a	DET
bracis-19044	51	12	predefined	predefine	VERB
bracis-19044	51	13	threshold	threshold	NOUN
bracis-19044	51	14	,	,	PUNCT
bracis-19044	51	15	adwin	adwin	PROPN
bracis-19044	51	16	detects	detect	NOUN
bracis-19044	51	17	the	the	DET
bracis-19044	51	18	cd	cd	PROPN
bracis-19044	51	19	and	and	CCONJ
bracis-19044	51	20	discards	discard	VERB
bracis-19044	51	21	all	all	DET
bracis-19044	51	22	data	datum	NOUN
bracis-19044	51	23	from	from	ADP
bracis-19044	51	24	the	the	DET
bracis-19044	51	25	stream	stream	NOUN
bracis-19044	51	26	up	up	ADP
bracis-19044	51	27	 	 	SPACE
bracis-19044	51	28	to	to	ADP
bracis-19044	51	29	the	the	DET
bracis-19044	51	30	detected	detect	VERB
bracis-19044	51	31	drift	drift	NOUN
bracis-19044	51	32	point	point	NOUN
bracis-19044	51	33	.	.	PUNCT
bracis-19044	52	1	another	another	DET
bracis-19044	52	2	early	early	ADJ
bracis-19044	52	3	cd	cd	NOUN
bracis-19044	52	4	detector	detector	NOUN
bracis-19044	52	5	,	,	PUNCT
bracis-19044	52	6	called	call	VERB
bracis-19044	52	7	page	page	NOUN
bracis-19044	52	8	-	-	PUNCT
bracis-19044	52	9	hinkley	hinkley	NOUN
bracis-19044	52	10	(	(	PUNCT
bracis-19044	52	11	ph	ph	PROPN
bracis-19044	52	12	)	)	PUNCT
bracis-19044	52	13	[	[	X
bracis-19044	52	14	14	14	NUM
bracis-19044	52	15	]	]	PUNCT
bracis-19044	52	16	,	,	PUNCT
bracis-19044	52	17	computes	compute	VERB
bracis-19044	52	18	observed	observed	ADJ
bracis-19044	52	19	values	value	NOUN
bracis-19044	52	20	and	and	CCONJ
bracis-19044	52	21	their	their	PRON
bracis-19044	52	22	average	average	NOUN
bracis-19044	52	23	up	up	ADP
bracis-19044	52	24	until	until	ADP
bracis-19044	52	25	the	the	DET
bracis-19044	52	26	current	current	ADJ
bracis-19044	52	27	point	point	NOUN
bracis-19044	52	28	in	in	ADP
bracis-19044	52	29	a	a	DET
bracis-19044	52	30	data	data	NOUN
bracis-19044	52	31	stream	stream	NOUN
bracis-19044	52	32	.	.	PUNCT
bracis-19044	53	1	ph	ph	PROPN
bracis-19044	53	2	then	then	ADV
bracis-19044	53	3	detects	detect	VERB
bracis-19044	53	4	the	the	DET
bracis-19044	53	5	drift	drift	NOUN
bracis-19044	53	6	if	if	SCONJ
bracis-19044	53	7	the	the	DET
bracis-19044	53	8	observed	observed	ADJ
bracis-19044	53	9	average	average	NOUN
bracis-19044	53	10	is	be	AUX
bracis-19044	53	11	higher	high	ADJ
bracis-19044	53	12	than	than	ADP
bracis-19044	53	13	a	a	DET
bracis-19044	53	14	predefined	predefine	VERB
bracis-19044	53	15	threshold	threshold	NOUN
bracis-19044	53	16	.	.	PUNCT
bracis-19044	54	1	frías	frías	PROPN
bracis-19044	54	2	-	-	PUNCT
bracis-19044	54	3	blanco	blanco	PROPN
bracis-19044	54	4	et	et	PROPN
bracis-19044	54	5	al	al	PROPN
bracis-19044	54	6	.	.	PROPN
bracis-19044	55	1	(	(	PUNCT
bracis-19044	55	2	2014	2014	NUM
bracis-19044	55	3	)	)	PUNCT
bracis-19044	56	1	[	[	X
bracis-19044	56	2	7	7	X
bracis-19044	56	3	]	]	PUNCT
bracis-19044	56	4	proposed	propose	VERB
bracis-19044	56	5	two	two	NUM
bracis-19044	56	6	detectors	detector	NOUN
bracis-19044	56	7	.	.	PUNCT
bracis-19044	57	1	the	the	DET
bracis-19044	57	2	first	first	ADJ
bracis-19044	57	3	,	,	PUNCT
bracis-19044	57	4	called	call	VERB
bracis-19044	57	5	hddm_a	hddm_a	NOUN
bracis-19044	57	6	,	,	PUNCT
bracis-19044	57	7	is	be	AUX
bracis-19044	57	8	based	base	VERB
bracis-19044	57	9	on	on	ADP
bracis-19044	57	10	hoeffding	hoeffding	NOUN
bracis-19044	57	11	’s	’s	PART
bracis-19044	57	12	inequality	inequality	NOUN
bracis-19044	57	13	and	and	CCONJ
bracis-19044	57	14	used	use	VERB
bracis-19044	57	15	the	the	DET
bracis-19044	57	16	average	average	NOUN
bracis-19044	57	17	of	of	ADP
bracis-19044	57	18	the	the	DET
bracis-19044	57	19	continuous	continuous	ADJ
bracis-19044	57	20	values	value	NOUN
bracis-19044	57	21	in	in	ADP
bracis-19044	57	22	a	a	DET
bracis-19044	57	23	data	data	NOUN
bracis-19044	57	24	stream	stream	NOUN
bracis-19044	57	25	to	to	PART
bracis-19044	57	26	determine	determine	VERB
bracis-19044	57	27	if	if	SCONJ
bracis-19044	57	28	the	the	DET
bracis-19044	57	29	data	datum	NOUN
bracis-19044	57	30	contain	contain	VERB
bracis-19044	57	31	cd	cd	PROPN
bracis-19044	57	32	.	.	PUNCT
bracis-19044	58	1	the	the	DET
bracis-19044	58	2	second	second	ADJ
bracis-19044	58	3	method	method	NOUN
bracis-19044	58	4	,	,	PUNCT
bracis-19044	58	5	hddm_w	hddm_w	ADJ
bracis-19044	58	6	,	,	PUNCT
bracis-19044	58	7	uses	use	VERB
bracis-19044	58	8	mcdiarmid	mcdiarmid	PROPN
bracis-19044	58	9	’s	’s	PART
bracis-19044	58	10	bounds	bound	NOUN
bracis-19044	58	11	and	and	CCONJ
bracis-19044	58	12	the	the	DET
bracis-19044	58	13	exponentially	exponentially	ADV
bracis-19044	58	14	weighted	weight	VERB
bracis-19044	58	15	moving	move	VERB
bracis-19044	58	16	average	average	ADJ
bracis-19044	58	17	(	(	PUNCT
bracis-19044	58	18	ewma	ewma	NOUN
bracis-19044	58	19	)	)	PUNCT
bracis-19044	58	20	statistic	statistic	NOUN
bracis-19044	58	21	to	to	PART
bracis-19044	58	22	estimate	estimate	VERB
bracis-19044	58	23	if	if	SCONJ
bracis-19044	58	24	an	an	DET
bracis-19044	58	25	instance	instance	NOUN
bracis-19044	58	26	represents	represent	VERB
bracis-19044	58	27	cd	cd	NOUN
bracis-19044	58	28	or	or	CCONJ
bracis-19044	58	29	not	not	PART
bracis-19044	58	30	.	.	PUNCT
bracis-19044	59	1	the	the	DET
bracis-19044	59	2	kolmogorov	kolmogorov	ADJ
bracis-19044	59	3	-	-	PUNCT
bracis-19044	59	4	smirnov	smirnov	ADJ
bracis-19044	59	5	windowing	windowing	NOUN
bracis-19044	59	6	(	(	PUNCT
bracis-19044	59	7	kswin	kswin	PROPN
bracis-19044	59	8	)	)	PUNCT
bracis-19044	59	9	method	method	NOUN
bracis-19044	59	10	[	[	X
bracis-19044	59	11	16	16	NUM
bracis-19044	59	12	]	]	PUNCT
bracis-19044	59	13	uses	use	VERB
bracis-19044	59	14	the	the	DET
bracis-19044	59	15	kolmogorov	kolmogorov	ADJ
bracis-19044	59	16	-	-	PUNCT
bracis-19044	59	17	smirnov	smirnov	ADJ
bracis-19044	59	18	(	(	PUNCT
bracis-19044	59	19	ks	ks	NOUN
bracis-19044	59	20	)	)	PUNCT
bracis-19044	59	21	statistical	statistical	ADJ
bracis-19044	59	22	test	test	NOUN
bracis-19044	59	23	to	to	PART
bracis-19044	59	24	monitor	monitor	VERB
bracis-19044	59	25	data	datum	NOUN
bracis-19044	59	26	distributions	distribution	NOUN
bracis-19044	59	27	without	without	ADP
bracis-19044	59	28	assuming	assume	VERB
bracis-19044	59	29	any	any	DET
bracis-19044	59	30	particular	particular	ADJ
bracis-19044	59	31	distributions	distribution	NOUN
bracis-19044	59	32	.	.	PUNCT
bracis-19044	60	1	kswin	kswin	PROPN
bracis-19044	60	2	keeps	keep	VERB
bracis-19044	60	3	a	a	DET
bracis-19044	60	4	fixed	fix	VERB
bracis-19044	60	5	window	window	NOUN
bracis-19044	60	6	size	size	NOUN
bracis-19044	60	7	and	and	CCONJ
bracis-19044	60	8	compares	compare	VERB
bracis-19044	60	9	the	the	DET
bracis-19044	60	10	cumulative	cumulative	ADJ
bracis-19044	60	11	distribution	distribution	NOUN
bracis-19044	60	12	of	of	ADP
bracis-19044	60	13	the	the	DET
bracis-19044	60	14	current	current	ADJ
bracis-19044	60	15	window	window	NOUN
bracis-19044	60	16	to	to	ADP
bracis-19044	60	17	the	the	DET
bracis-19044	60	18	previous	previous	ADJ
bracis-19044	60	19	one	one	NOUN
bracis-19044	60	20	,	,	PUNCT
bracis-19044	60	21	detecting	detect	VERB
bracis-19044	60	22	cd	cd	NOUN
bracis-19044	60	23	if	if	SCONJ
bracis-19044	60	24	the	the	DET
bracis-19044	60	25	ks	ks	NOUN
bracis-19044	60	26	test	test	NOUN
bracis-19044	60	27	rejects	reject	VERB
bracis-19044	60	28	the	the	DET
bracis-19044	60	29	null	null	ADJ
bracis-19044	60	30	hypothesis	hypothesis	NOUN
bracis-19044	60	31	that	that	PRON
bracis-19044	60	32	the	the	DET
bracis-19044	60	33	distributions	distribution	NOUN
bracis-19044	60	34	are	be	AUX
bracis-19044	60	35	the	the	DET
bracis-19044	60	36	same	same	ADJ
bracis-19044	60	37	.	.	PUNCT
bracis-19044	61	1	3	3	NUM
bracis-19044	61	2	experiment	experiment	NOUN
bracis-19044	61	3	configuration	configuration	NOUN
bracis-19044	61	4	in	in	ADP
bracis-19044	61	5	this	this	DET
bracis-19044	61	6	section	section	NOUN
bracis-19044	61	7	we	we	PRON
bracis-19044	61	8	describe	describe	VERB
bracis-19044	61	9	the	the	DET
bracis-19044	61	10	datasets	dataset	NOUN
bracis-19044	61	11	and	and	CCONJ
bracis-19044	61	12	the	the	DET
bracis-19044	61	13	parametrization	parametrization	NOUN
bracis-19044	61	14	used	use	VERB
bracis-19044	61	15	for	for	ADP
bracis-19044	61	16	the	the	DET
bracis-19044	61	17	drift	drift	NOUN
bracis-19044	61	18	detectors	detector	NOUN
bracis-19044	61	19	as	as	ADV
bracis-19044	61	20	well	well	ADV
bracis-19044	61	21	as	as	ADP
bracis-19044	61	22	the	the	DET
bracis-19044	61	23	evaluation	evaluation	NOUN
bracis-19044	61	24	methodology	methodology	NOUN
bracis-19044	61	25	used	use	VERB
bracis-19044	61	26	in	in	ADP
bracis-19044	61	27	the	the	DET
bracis-19044	61	28	experiments	experiment	NOUN
bracis-19044	61	29	.	.	PUNCT
bracis-19044	62	1	3.1	3.1	NUM
bracis-19044	62	2	datasets	dataset	NOUN
bracis-19044	62	3	the	the	DET
bracis-19044	62	4	datasets	dataset	NOUN
bracis-19044	62	5	chosen	choose	VERB
bracis-19044	62	6	for	for	ADP
bracis-19044	62	7	the	the	DET
bracis-19044	62	8	experiments	experiment	NOUN
bracis-19044	62	9	have	have	AUX
bracis-19044	62	10	all	all	PRON
bracis-19044	62	11	been	be	AUX
bracis-19044	62	12	previously	previously	ADV
bracis-19044	62	13	used	use	VERB
bracis-19044	62	14	to	to	PART
bracis-19044	62	15	study	study	VERB
bracis-19044	62	16	the	the	DET
bracis-19044	62	17	concept	concept	NOUN
bracis-19044	62	18	drift	drift	NOUN
bracis-19044	62	19	problem	problem	NOUN
bracis-19044	62	20	.	.	PUNCT
bracis-19044	63	1	to	to	PART
bracis-19044	63	2	analyze	analyze	VERB
bracis-19044	63	3	the	the	DET
bracis-19044	63	4	performance	performance	NOUN
bracis-19044	63	5	of	of	ADP
bracis-19044	63	6	the	the	DET
bracis-19044	63	7	methods	method	NOUN
bracis-19044	63	8	,	,	PUNCT
bracis-19044	63	9	four	four	NUM
bracis-19044	63	10	synthetic	synthetic	ADJ
bracis-19044	63	11	datasets	dataset	NOUN
bracis-19044	63	12	and	and	CCONJ
bracis-19044	63	13	four	four	NUM
bracis-19044	63	14	real	real	ADJ
bracis-19044	63	15	-	-	PUNCT
bracis-19044	63	16	world	world	NOUN
bracis-19044	63	17	datasets	dataset	NOUN
bracis-19044	63	18	were	be	AUX
bracis-19044	63	19	used	use	VERB
bracis-19044	63	20	.	.	PUNCT
bracis-19044	64	1	the	the	DET
bracis-19044	64	2	datasets	dataset	NOUN
bracis-19044	64	3	allow	allow	VERB
bracis-19044	64	4	us	we	PRON
bracis-19044	64	5	to	to	PART
bracis-19044	64	6	analyze	analyze	VERB
bracis-19044	64	7	how	how	SCONJ
bracis-19044	64	8	the	the	DET
bracis-19044	64	9	detectors	detector	NOUN
bracis-19044	64	10	identify	identify	VERB
bracis-19044	64	11	the	the	DET
bracis-19044	64	12	points	point	NOUN
bracis-19044	64	13	of	of	ADP
bracis-19044	64	14	deviation	deviation	NOUN
bracis-19044	64	15	in	in	ADP
bracis-19044	64	16	the	the	DET
bracis-19044	64	17	data	datum	NOUN
bracis-19044	64	18	and	and	CCONJ
bracis-19044	64	19	false	false	ADJ
bracis-19044	64	20	points	point	NOUN
bracis-19044	64	21	detected	detect	VERB
bracis-19044	64	22	.	.	PUNCT
bracis-19044	65	1	we	we	PRON
bracis-19044	65	2	use	use	VERB
bracis-19044	65	3	the	the	DET
bracis-19044	65	4	synthetic	synthetic	ADJ
bracis-19044	65	5	data	data	NOUN
bracis-19044	65	6	sets	set	NOUN
bracis-19044	65	7	from	from	ADP
bracis-19044	65	8	the	the	DET
bracis-19044	65	9	work	work	NOUN
bracis-19044	65	10	of	of	ADP
bracis-19044	65	11	almeida	almeida	PROPN
bracis-19044	65	12	et	et	PROPN
bracis-19044	65	13	al	al	PROPN
bracis-19044	65	14	.	.	PROPN
bracis-19044	66	1	(	(	PUNCT
bracis-19044	66	2	2019	2019	NUM
bracis-19044	66	3	)	)	PUNCT
bracis-19044	67	1	[	[	X
bracis-19044	67	2	1	1	X
bracis-19044	67	3	]	]	PUNCT
bracis-19044	67	4	following	follow	VERB
bracis-19044	67	5	the	the	DET
bracis-19044	67	6	same	same	ADJ
bracis-19044	67	7	methodological	methodological	ADJ
bracis-19044	67	8	process	process	NOUN
bracis-19044	67	9	of	of	ADP
bracis-19044	67	10	adding	add	VERB
bracis-19044	67	11	deviation	deviation	NOUN
bracis-19044	67	12	.	.	PUNCT
bracis-19044	68	1	for	for	SCONJ
bracis-19044	68	2	each	each	DET
bracis-19044	68	3	data	datum	NOUN
bracis-19044	68	4	set	set	VERB
bracis-19044	68	5	5000	5000	NUM
bracis-19044	68	6	samples	sample	NOUN
bracis-19044	68	7	are	be	AUX
bracis-19044	68	8	created	create	VERB
bracis-19044	68	9	.	.	PUNCT
bracis-19044	69	1	the	the	DET
bracis-19044	69	2	domain	domain	NOUN
bracis-19044	69	3	of	of	ADP
bracis-19044	69	4	each	each	DET
bracis-19044	69	5	attribute	attribute	NOUN
bracis-19044	69	6	is	be	AUX
bracis-19044	69	7	divided	divide	VERB
bracis-19044	69	8	into	into	ADP
bracis-19044	69	9	ten	ten	NUM
bracis-19044	69	10	equal	equal	ADJ
bracis-19044	69	11	-	-	PUNCT
bracis-19044	69	12	sized	sized	ADJ
bracis-19044	69	13	parts	part	NOUN
bracis-19044	69	14	.	.	PUNCT
bracis-19044	70	1	the	the	DET
bracis-19044	70	2	first	first	ADJ
bracis-19044	70	3	2000	2000	NUM
bracis-19044	70	4	samples	sample	NOUN
bracis-19044	70	5	correspond	correspond	VERB
bracis-19044	70	6	to	to	ADP
bracis-19044	70	7	the	the	DET
bracis-19044	70	8	first	first	ADJ
bracis-19044	70	9	seven	seven	NUM
bracis-19044	70	10	parts	part	NOUN
bracis-19044	70	11	of	of	ADP
bracis-19044	70	12	the	the	DET
bracis-19044	70	13	domain	domain	NOUN
bracis-19044	70	14	of	of	ADP
bracis-19044	70	15	each	each	DET
bracis-19044	70	16	variable	variable	NOUN
bracis-19044	70	17	.	.	PUNCT
bracis-19044	71	1	1000	1000	NUM
bracis-19044	71	2	new	new	ADJ
bracis-19044	71	3	instances	instance	NOUN
bracis-19044	71	4	are	be	AUX
bracis-19044	71	5	added	add	VERB
bracis-19044	71	6	and	and	CCONJ
bracis-19044	71	7	the	the	DET
bracis-19044	71	8	domain	domain	NOUN
bracis-19044	71	9	is	be	AUX
bracis-19044	71	10	expanded	expand	VERB
bracis-19044	71	11	until	until	SCONJ
bracis-19044	71	12	the	the	DET
bracis-19044	71	13	5000	5000	NUM
bracis-19044	71	14	samples	sample	NOUN
bracis-19044	71	15	are	be	AUX
bracis-19044	71	16	completed	complete	VERB
bracis-19044	71	17	.	.	PUNCT
bracis-19044	72	1	table	table	NOUN
bracis-19044	72	2	 	 	SPACE
bracis-19044	72	3	1	1	NUM
bracis-19044	72	4	presents	present	VERB
bracis-19044	72	5	synthetic	synthetic	ADJ
bracis-19044	72	6	data	datum	NOUN
bracis-19044	72	7	.	.	PUNCT
bracis-19044	73	1	table	table	NOUN
bracis-19044	73	2	1	1	NUM
bracis-19044	73	3	.	.	PUNCT
bracis-19044	74	1	synthetic	synthetic	ADJ
bracis-19044	74	2	datasetsfull	datasetsfull	NOUN
bracis-19044	74	3	size	size	NOUN
bracis-19044	74	4	table	table	NOUN
bracis-19044	74	5	the	the	DET
bracis-19044	74	6	real	real	ADJ
bracis-19044	74	7	-	-	PUNCT
bracis-19044	74	8	world	world	NOUN
bracis-19044	74	9	datasets	dataset	NOUN
bracis-19044	74	10	used	use	VERB
bracis-19044	74	11	are	be	AUX
bracis-19044	74	12	bike	bike	NOUN
bracis-19044	74	13	[	[	X
bracis-19044	74	14	12	12	NUM
bracis-19044	74	15	]	]	PUNCT
bracis-19044	74	16	,	,	PUNCT
bracis-19044	74	17	fccu1	fccu1	PROPN
bracis-19044	74	18	(	(	PUNCT
bracis-19044	74	19	gasoline	gasoline	NOUN
bracis-19044	74	20	concentration	concentration	NOUN
bracis-19044	74	21	)	)	PUNCT
bracis-19044	74	22	,	,	PUNCT
bracis-19044	75	1	fccu2	fccu2	X
bracis-19044	75	2	(	(	PUNCT
bracis-19044	75	3	ldo	ldo	PROPN
bracis-19044	75	4	concentration	concentration	NOUN
bracis-19044	75	5	)	)	PUNCT
bracis-19044	75	6	and	and	CCONJ
bracis-19044	75	7	fccu3	fccu3	NOUN
bracis-19044	75	8	(	(	PUNCT
bracis-19044	75	9	lpg	lpg	VERB
bracis-19044	75	10	concentration	concentration	NOUN
bracis-19044	75	11	)	)	PUNCT
bracis-19044	76	1	[	[	X
bracis-19044	76	2	18	18	NUM
bracis-19044	76	3	]	]	PUNCT
bracis-19044	76	4	.	.	PUNCT
bracis-19044	77	1	we	we	PRON
bracis-19044	77	2	performed	perform	VERB
bracis-19044	77	3	an	an	DET
bracis-19044	77	4	analysis	analysis	NOUN
bracis-19044	77	5	on	on	ADP
bracis-19044	77	6	the	the	DET
bracis-19044	77	7	target	target	NOUN
bracis-19044	77	8	variable	variable	NOUN
bracis-19044	77	9	using	use	VERB
bracis-19044	77	10	the	the	DET
bracis-19044	77	11	interquartile	interquartile	ADJ
bracis-19044	77	12	range	range	NOUN
bracis-19044	77	13	method	method	NOUN
bracis-19044	77	14	(	(	PUNCT
bracis-19044	77	15	iqr	iqr	NOUN
bracis-19044	77	16	)	)	PUNCT
bracis-19044	77	17	,	,	PUNCT
bracis-19044	77	18	\(iqr	\(iqr	PROPN
bracis-19044	77	19	=	=	SYM
bracis-19044	77	20	q_{3}-q_{1}\	q_{3}-q_{1}\	ADJ
bracis-19044	77	21	)	)	PUNCT
bracis-19044	77	22	,	,	PUNCT
bracis-19044	77	23	where	where	SCONJ
bracis-19044	77	24	\(=q_{3}\	\(=q_{3}\	NOUN
bracis-19044	77	25	)	)	PUNCT
bracis-19044	77	26	is	be	AUX
bracis-19044	77	27	the	the	DET
bracis-19044	77	28	third	third	ADJ
bracis-19044	77	29	quartile	quartile	NOUN
bracis-19044	77	30	and	and	CCONJ
bracis-19044	77	31	\(=q_{1}\	\(=q_{1}\	NUM
bracis-19044	77	32	)	)	PUNCT
bracis-19044	77	33	is	be	AUX
bracis-19044	77	34	the	the	DET
bracis-19044	77	35	first	first	ADJ
bracis-19044	77	36	quartile	quartile	NOUN
bracis-19044	77	37	.	.	PUNCT
bracis-19044	78	1	we	we	PRON
bracis-19044	78	2	perform	perform	VERB
bracis-19044	78	3	a	a	DET
bracis-19044	78	4	variability	variability	NOUN
bracis-19044	78	5	estimate	estimate	NOUN
bracis-19044	78	6	to	to	PART
bracis-19044	78	7	calculate	calculate	VERB
bracis-19044	78	8	lower	low	ADJ
bracis-19044	78	9	\(l_{inf}=\bar{y}-1.5\	\(l_{inf}=\bar{y}-1.5\	ADP
bracis-19044	78	10	,	,	PUNCT
bracis-19044	78	11	*	*	PUNCT
bracis-19044	78	12	\	\	ADJ
bracis-19044	78	13	,	,	PUNCT
bracis-19044	78	14	iqr\	iqr\	ADJ
bracis-19044	78	15	)	)	PUNCT
bracis-19044	78	16	and	and	CCONJ
bracis-19044	78	17	higher	high	ADJ
bracis-19044	78	18	\(l_{sup}=\bar{y}+1.5	\(l_{sup}=\bar{y}+1.5	NOUN
bracis-19044	78	19	*	*	PUNCT
bracis-19044	78	20	iqr\	iqr\	ADJ
bracis-19044	78	21	)	)	PUNCT
bracis-19044	78	22	bounds	bound	VERB
bracis-19044	78	23	for	for	ADP
bracis-19044	78	24	drift	drift	NOUN
bracis-19044	78	25	identification	identification	NOUN
bracis-19044	78	26	,	,	PUNCT
bracis-19044	78	27	where	where	SCONJ
bracis-19044	78	28	\(\bar{y}\	\(\bar{y}\	NOUN
bracis-19044	78	29	)	)	PUNCT
bracis-19044	78	30	is	be	AUX
bracis-19044	78	31	the	the	DET
bracis-19044	78	32	mean	mean	NOUN
bracis-19044	78	33	of	of	ADP
bracis-19044	78	34	the	the	DET
bracis-19044	78	35	target	target	NOUN
bracis-19044	78	36	variable	variable	NOUN
bracis-19044	78	37	.	.	PUNCT
bracis-19044	79	1	at	at	ADP
bracis-19044	79	2	the	the	DET
bracis-19044	79	3	end	end	NOUN
bracis-19044	79	4	of	of	ADP
bracis-19044	79	5	the	the	DET
bracis-19044	79	6	analysis	analysis	NOUN
bracis-19044	79	7	we	we	PRON
bracis-19044	79	8	noticed	notice	VERB
bracis-19044	79	9	that	that	SCONJ
bracis-19044	79	10	none	none	NOUN
bracis-19044	79	11	of	of	ADP
bracis-19044	79	12	the	the	DET
bracis-19044	79	13	data	data	NOUN
bracis-19044	79	14	points	point	NOUN
bracis-19044	79	15	were	be	AUX
bracis-19044	79	16	out	out	ADP
bracis-19044	79	17	of	of	ADP
bracis-19044	79	18	bounds	bound	NOUN
bracis-19044	79	19	.	.	PUNCT
bracis-19044	80	1	thus	thus	ADV
bracis-19044	80	2	,	,	PUNCT
bracis-19044	80	3	we	we	PRON
bracis-19044	80	4	artificially	artificially	ADV
bracis-19044	80	5	added	add	VERB
bracis-19044	80	6	drift	drift	NOUN
bracis-19044	80	7	along	along	ADP
bracis-19044	80	8	the	the	DET
bracis-19044	80	9	data	data	PROPN
bracis-19044	80	10	.	.	PUNCT
bracis-19044	81	1	figure	figure	NOUN
bracis-19044	81	2	 	 	SPACE
bracis-19044	81	3	1	1	NUM
bracis-19044	81	4	shows	show	VERB
bracis-19044	81	5	the	the	DET
bracis-19044	81	6	distributions	distribution	NOUN
bracis-19044	81	7	of	of	ADP
bracis-19044	81	8	y	y	PROPN
bracis-19044	81	9	and	and	CCONJ
bracis-19044	81	10	\(y_{drift}\	\(y_{drift}\	PROPN
bracis-19044	81	11	)	)	PUNCT
bracis-19044	81	12	(	(	PUNCT
bracis-19044	81	13	y	y	NOUN
bracis-19044	81	14	with	with	ADP
bracis-19044	81	15	artificial	artificial	ADJ
bracis-19044	81	16	drift	drift	NOUN
bracis-19044	81	17	)	)	PUNCT
bracis-19044	81	18	.	.	PUNCT
bracis-19044	82	1	to	to	PART
bracis-19044	82	2	add	add	VERB
bracis-19044	82	3	the	the	DET
bracis-19044	82	4	deviation	deviation	NOUN
bracis-19044	82	5	we	we	PRON
bracis-19044	82	6	add	add	VERB
bracis-19044	82	7	the	the	DET
bracis-19044	82	8	value	value	NOUN
bracis-19044	82	9	of	of	ADP
bracis-19044	82	10	the	the	DET
bracis-19044	82	11	dependent	dependent	ADJ
bracis-19044	82	12	variable	variable	NOUN
bracis-19044	82	13	(	(	PUNCT
bracis-19044	82	14	y	y	NOUN
bracis-19044	82	15	)	)	PUNCT
bracis-19044	82	16	by	by	ADP
bracis-19044	82	17	multiplying	multiply	VERB
bracis-19044	82	18	the	the	DET
bracis-19044	82	19	standard	standard	ADJ
bracis-19044	82	20	deviation	deviation	NOUN
bracis-19044	82	21	and	and	CCONJ
bracis-19044	82	22	a	a	DET
bracis-19044	82	23	number	number	NOUN
bracis-19044	82	24	that	that	PRON
bracis-19044	82	25	leaves	leave	VERB
bracis-19044	82	26	the	the	DET
bracis-19044	82	27	value	value	NOUN
bracis-19044	82	28	of	of	ADP
bracis-19044	82	29	y	y	PROPN
bracis-19044	82	30	greater	great	ADJ
bracis-19044	82	31	than	than	ADP
bracis-19044	82	32	\(l_{sup}\	\(l_{sup}\	NOUN
bracis-19044	82	33	)	)	PUNCT
bracis-19044	82	34	.	.	PUNCT
bracis-19044	83	1	the	the	DET
bracis-19044	83	2	added	add	VERB
bracis-19044	83	3	drift	drift	NOUN
bracis-19044	83	4	in	in	ADP
bracis-19044	83	5	the	the	DET
bracis-19044	83	6	bike	bike	NOUN
bracis-19044	83	7	dataset	dataset	NOUN
bracis-19044	83	8	(	(	PUNCT
bracis-19044	83	9	(	(	PUNCT
bracis-19044	83	10	a	a	NOUN
bracis-19044	83	11	)	)	PUNCT
bracis-19044	83	12	)	)	PUNCT
bracis-19044	83	13	has	have	VERB
bracis-19044	83	14	the	the	DET
bracis-19044	83	15	characteristic	characteristic	NOUN
bracis-19044	83	16	of	of	ADP
bracis-19044	83	17	recurring	recur	VERB
bracis-19044	83	18	and	and	CCONJ
bracis-19044	83	19	abrupt	abrupt	ADJ
bracis-19044	83	20	speed	speed	NOUN
bracis-19044	83	21	,	,	PUNCT
bracis-19044	83	22	as	as	SCONJ
bracis-19044	83	23	it	it	PRON
bracis-19044	83	24	appears	appear	VERB
bracis-19044	83	25	in	in	ADP
bracis-19044	83	26	the	the	DET
bracis-19044	83	27	data	datum	NOUN
bracis-19044	83	28	in	in	ADP
bracis-19044	83	29	a	a	DET
bracis-19044	83	30	certain	certain	ADJ
bracis-19044	83	31	period	period	NOUN
bracis-19044	83	32	of	of	ADP
bracis-19044	83	33	time	time	NOUN
bracis-19044	83	34	,	,	PUNCT
bracis-19044	83	35	returns	return	VERB
bracis-19044	83	36	to	to	ADP
bracis-19044	83	37	the	the	DET
bracis-19044	83	38	original	original	ADJ
bracis-19044	83	39	concept	concept	NOUN
bracis-19044	83	40	,	,	PUNCT
bracis-19044	83	41	and	and	CCONJ
bracis-19044	83	42	appears	appear	VERB
bracis-19044	83	43	again	again	ADV
bracis-19044	83	44	,	,	PUNCT
bracis-19044	83	45	in	in	ADP
bracis-19044	83	46	addition	addition	NOUN
bracis-19044	83	47	to	to	ADP
bracis-19044	83	48	abruptly	abruptly	ADV
bracis-19044	83	49	changing	change	VERB
bracis-19044	83	50	the	the	DET
bracis-19044	83	51	concept	concept	NOUN
bracis-19044	83	52	.	.	PUNCT
bracis-19044	84	1	we	we	PRON
bracis-19044	84	2	add	add	VERB
bracis-19044	84	3	two	two	NUM
bracis-19044	84	4	offsets	offset	NOUN
bracis-19044	84	5	by	by	ADP
bracis-19044	84	6	multiplying	multiply	VERB
bracis-19044	84	7	by	by	ADP
bracis-19044	84	8	the	the	DET
bracis-19044	84	9	numbers	number	NOUN
bracis-19044	84	10	three	three	NUM
bracis-19044	84	11	and	and	CCONJ
bracis-19044	84	12	four	four	NUM
bracis-19044	84	13	respectively	respectively	ADV
bracis-19044	84	14	.	.	PUNCT
bracis-19044	85	1	in	in	ADP
bracis-19044	85	2	the	the	DET
bracis-19044	85	3	fccu1	fccu1	NOUN
bracis-19044	85	4	,	,	PUNCT
bracis-19044	85	5	fccu2	fccu2	ADJ
bracis-19044	85	6	,	,	PUNCT
bracis-19044	85	7	fccu3	fccu3	NOUN
bracis-19044	85	8	dataset	dataset	VERB
bracis-19044	85	9	we	we	PRON
bracis-19044	85	10	add	add	VERB
bracis-19044	85	11	three	three	NUM
bracis-19044	85	12	abrupt	abrupt	ADJ
bracis-19044	85	13	deviations	deviation	NOUN
bracis-19044	85	14	.	.	PUNCT
bracis-19044	86	1	which	which	PRON
bracis-19044	86	2	we	we	PRON
bracis-19044	86	3	multiply	multiply	VERB
bracis-19044	86	4	:	:	PUNCT
bracis-19044	86	5	by	by	ADP
bracis-19044	86	6	three	three	NUM
bracis-19044	86	7	,	,	PUNCT
bracis-19044	86	8	seven	seven	NUM
bracis-19044	86	9	and	and	CCONJ
bracis-19044	86	10	,	,	PUNCT
bracis-19044	86	11	twelve	twelve	NUM
bracis-19044	86	12	(	(	PUNCT
bracis-19044	86	13	for	for	ADP
bracis-19044	86	14	fccu1	fccu1	PROPN
bracis-19044	86	15	)	)	PUNCT
bracis-19044	86	16	;	;	PUNCT
bracis-19044	87	1	three	three	NUM
bracis-19044	87	2	,	,	PUNCT
bracis-19044	87	3	six	six	NUM
bracis-19044	87	4	,	,	PUNCT
bracis-19044	87	5	three	three	NUM
bracis-19044	87	6	(	(	PUNCT
bracis-19044	87	7	for	for	ADP
bracis-19044	87	8	fccu2	fccu2	NOUN
bracis-19044	87	9	)	)	PUNCT
bracis-19044	87	10	;	;	PUNCT
bracis-19044	87	11	three	three	NUM
bracis-19044	87	12	,	,	PUNCT
bracis-19044	87	13	six	six	NUM
bracis-19044	87	14	,	,	PUNCT
bracis-19044	87	15	nine	nine	NUM
bracis-19044	87	16	(	(	PUNCT
bracis-19044	87	17	for	for	ADP
bracis-19044	87	18	fccu3	fccu3	NOUN
bracis-19044	87	19	)	)	PUNCT
bracis-19044	87	20	.	.	PUNCT
bracis-19044	88	1	fig	fig	NOUN
bracis-19044	88	2	.	.	PUNCT
bracis-19044	89	1	1	1	X
bracis-19044	89	2	.	.	X
bracis-19044	89	3	datasets	dataset	NOUN
bracis-19044	89	4	full	full	ADJ
bracis-19044	89	5	size	size	NOUN
bracis-19044	89	6	image	image	NOUN
bracis-19044	89	7	table	table	NOUN
bracis-19044	89	8	 	 	SPACE
bracis-19044	89	9	2	2	NUM
bracis-19044	89	10	presents	present	VERB
bracis-19044	89	11	a	a	DET
bracis-19044	89	12	summary	summary	NOUN
bracis-19044	89	13	of	of	ADP
bracis-19044	89	14	the	the	DET
bracis-19044	89	15	main	main	ADJ
bracis-19044	89	16	characteristics	characteristic	NOUN
bracis-19044	89	17	of	of	ADP
bracis-19044	89	18	each	each	DET
bracis-19044	89	19	dataset	dataset	NOUN
bracis-19044	89	20	,	,	PUNCT
bracis-19044	89	21	such	such	ADJ
bracis-19044	89	22	as	as	ADP
bracis-19044	89	23	number	number	NOUN
bracis-19044	89	24	of	of	ADP
bracis-19044	89	25	predictive	predictive	ADJ
bracis-19044	89	26	attributes	attribute	NOUN
bracis-19044	89	27	,	,	PUNCT
bracis-19044	89	28	number	number	NOUN
bracis-19044	89	29	of	of	ADP
bracis-19044	89	30	samples	sample	NOUN
bracis-19044	89	31	and	and	CCONJ
bracis-19044	89	32	amount	amount	NOUN
bracis-19044	89	33	of	of	ADP
bracis-19044	89	34	drift	drift	NOUN
bracis-19044	89	35	.	.	PUNCT
bracis-19044	90	1	table	table	NOUN
bracis-19044	90	2	2	2	NUM
bracis-19044	90	3	.	.	PUNCT
bracis-19044	90	4	dataset	dataset	VERB
bracis-19044	90	5	featuresfull	featuresfull	ADJ
bracis-19044	90	6	size	size	NOUN
bracis-19044	90	7	table	table	NOUN
bracis-19044	90	8	3.2	3.2	NUM
bracis-19044	90	9	evaluation	evaluation	NOUN
bracis-19044	90	10	setup	setup	NOUN
bracis-19044	90	11	to	to	PART
bracis-19044	90	12	evaluate	evaluate	VERB
bracis-19044	90	13	the	the	DET
bracis-19044	90	14	drift	drift	NOUN
bracis-19044	90	15	detection	detection	NOUN
bracis-19044	90	16	methods	method	NOUN
bracis-19044	90	17	using	use	VERB
bracis-19044	90	18	the	the	DET
bracis-19044	90	19	presented	present	VERB
bracis-19044	90	20	datasets	dataset	NOUN
bracis-19044	90	21	,	,	PUNCT
bracis-19044	90	22	we	we	PRON
bracis-19044	90	23	use	use	VERB
bracis-19044	90	24	a	a	DET
bracis-19044	90	25	methodology	methodology	NOUN
bracis-19044	90	26	similar	similar	ADJ
bracis-19044	90	27	to	to	ADP
bracis-19044	90	28	the	the	DET
bracis-19044	90	29	one	one	NOUN
bracis-19044	90	30	described	describe	VERB
bracis-19044	90	31	in	in	ADP
bracis-19044	90	32	[	[	X
bracis-19044	90	33	1	1	NUM
bracis-19044	90	34	]	]	PUNCT
bracis-19044	90	35	.	.	PUNCT
bracis-19044	91	1	for	for	ADP
bracis-19044	91	2	each	each	DET
bracis-19044	91	3	time	time	NOUN
bracis-19044	91	4	step	step	NOUN
bracis-19044	91	5	,	,	PUNCT
bracis-19044	91	6	a	a	DET
bracis-19044	91	7	specified	specify	VERB
bracis-19044	91	8	amount	amount	NOUN
bracis-19044	91	9	of	of	ADP
bracis-19044	91	10	instances	instance	NOUN
bracis-19044	91	11	of	of	ADP
bracis-19044	91	12	the	the	DET
bracis-19044	91	13	training	training	NOUN
bracis-19044	91	14	set	set	NOUN
bracis-19044	91	15	are	be	AUX
bracis-19044	91	16	read	read	VERB
bracis-19044	91	17	and	and	CCONJ
bracis-19044	91	18	used	use	VERB
bracis-19044	91	19	to	to	PART
bracis-19044	91	20	train	train	VERB
bracis-19044	91	21	the	the	DET
bracis-19044	91	22	regressor	regressor	NOUN
bracis-19044	91	23	.	.	PUNCT
bracis-19044	92	1	next	next	ADV
bracis-19044	92	2	,	,	PUNCT
bracis-19044	92	3	other	other	ADJ
bracis-19044	92	4	examples	example	NOUN
bracis-19044	92	5	from	from	ADP
bracis-19044	92	6	the	the	DET
bracis-19044	92	7	test	test	NOUN
bracis-19044	92	8	set	set	NOUN
bracis-19044	92	9	are	be	AUX
bracis-19044	92	10	used	use	VERB
bracis-19044	92	11	to	to	PART
bracis-19044	92	12	test	test	VERB
bracis-19044	92	13	the	the	DET
bracis-19044	92	14	regressor	regressor	NOUN
bracis-19044	92	15	.	.	PUNCT
bracis-19044	93	1	if	if	SCONJ
bracis-19044	93	2	the	the	DET
bracis-19044	93	3	detection	detection	NOUN
bracis-19044	93	4	method	method	NOUN
bracis-19044	93	5	identifies	identify	VERB
bracis-19044	93	6	the	the	DET
bracis-19044	93	7	occurrence	occurrence	NOUN
bracis-19044	93	8	of	of	ADP
bracis-19044	93	9	cd	cd	PROPN
bracis-19044	93	10	,	,	PUNCT
bracis-19044	93	11	the	the	DET
bracis-19044	93	12	test	test	NOUN
bracis-19044	93	13	data	datum	NOUN
bracis-19044	93	14	are	be	AUX
bracis-19044	93	15	used	use	VERB
bracis-19044	93	16	for	for	ADP
bracis-19044	93	17	training	training	NOUN
bracis-19044	93	18	,	,	PUNCT
bracis-19044	93	19	which	which	PRON
bracis-19044	93	20	corresponds	correspond	VERB
bracis-19044	93	21	to	to	ADP
bracis-19044	93	22	the	the	DET
bracis-19044	93	23	popular	popular	ADJ
bracis-19044	93	24	train	train	NOUN
bracis-19044	93	25	-	-	PUNCT
bracis-19044	93	26	test	test	NOUN
bracis-19044	93	27	-	-	PUNCT
bracis-19044	93	28	train	train	NOUN
bracis-19044	93	29	approach	approach	NOUN
bracis-19044	93	30	.	.	PUNCT
bracis-19044	94	1	this	this	DET
bracis-19044	94	2	procedure	procedure	NOUN
bracis-19044	94	3	is	be	AUX
bracis-19044	94	4	repeated	repeat	VERB
bracis-19044	94	5	30	30	NUM
bracis-19044	94	6	times	time	NOUN
bracis-19044	94	7	.	.	PUNCT
bracis-19044	95	1	we	we	PRON
bracis-19044	95	2	used	use	VERB
bracis-19044	95	3	seven	seven	NUM
bracis-19044	95	4	base	base	NOUN
bracis-19044	95	5	learners	learner	NOUN
bracis-19044	95	6	paired	pair	VERB
bracis-19044	95	7	with	with	ADP
bracis-19044	95	8	all	all	DET
bracis-19044	95	9	tested	test	VERB
bracis-19044	95	10	drift	drift	NOUN
bracis-19044	95	11	detection	detection	NOUN
bracis-19044	95	12	methods	method	NOUN
bracis-19044	95	13	.	.	PUNCT
bracis-19044	96	1	they	they	PRON
bracis-19044	96	2	are	be	AUX
bracis-19044	96	3	:	:	PUNCT
bracis-19044	96	4	boosting	boost	VERB
bracis-19044	96	5	regressor	regressor	NOUN
bracis-19044	96	6	(	(	PUNCT
bracis-19044	96	7	br	br	NOUN
bracis-19044	96	8	)	)	PUNCT
bracis-19044	97	1	[	[	X
bracis-19044	97	2	6	6	NUM
bracis-19044	97	3	]	]	PUNCT
bracis-19044	97	4	,	,	PUNCT
bracis-19044	97	5	decision	decision	NOUN
bracis-19044	97	6	trees	tree	NOUN
bracis-19044	97	7	(	(	PUNCT
bracis-19044	97	8	dt	dt	NOUN
bracis-19044	97	9	)	)	PUNCT
bracis-19044	98	1	[	[	X
bracis-19044	98	2	3	3	NUM
bracis-19044	98	3	]	]	PUNCT
bracis-19044	98	4	,	,	PUNCT
bracis-19044	98	5	lasso	lasso	NOUN
bracis-19044	98	6	regression	regression	NOUN
bracis-19044	98	7	(	(	PUNCT
bracis-19044	98	8	lr	lr	NOUN
bracis-19044	98	9	)	)	PUNCT
bracis-19044	99	1	[	[	X
bracis-19044	99	2	20	20	NUM
bracis-19044	99	3	]	]	PUNCT
bracis-19044	99	4	,	,	PUNCT
bracis-19044	99	5	hoeffding	hoeffde	VERB
bracis-19044	99	6	tree	tree	NOUN
bracis-19044	99	7	regressor	regressor	NOUN
bracis-19044	99	8	(	(	PUNCT
bracis-19044	99	9	htr	htr	PROPN
bracis-19044	99	10	)	)	PUNCT
bracis-19044	100	1	[	[	X
bracis-19044	100	2	13	13	NUM
bracis-19044	100	3	]	]	PUNCT
bracis-19044	100	4	,	,	PUNCT
bracis-19044	100	5	multilayer	multilayer	ADJ
bracis-19044	100	6	perception	perception	NOUN
bracis-19044	100	7	(	(	PUNCT
bracis-19044	100	8	mlp	mlp	NOUN
bracis-19044	100	9	)	)	PUNCT
bracis-19044	101	1	[	[	X
bracis-19044	101	2	19	19	NUM
bracis-19044	101	3	]	]	PUNCT
bracis-19044	101	4	,	,	PUNCT
bracis-19044	101	5	bagging	bag	VERB
bracis-19044	101	6	with	with	ADP
bracis-19044	101	7	meta	meta	ADJ
bracis-19044	101	8	-	-	PUNCT
bracis-19044	101	9	estimator	estimator	NOUN
bracis-19044	101	10	br	br	NOUN
bracis-19044	101	11	(	(	PUNCT
bracis-19044	101	12	b	b	NOUN
bracis-19044	101	13	-	-	PUNCT
bracis-19044	101	14	br	br	NOUN
bracis-19044	101	15	)	)	PUNCT
bracis-19044	101	16	,	,	PUNCT
bracis-19044	101	17	bagging	bag	VERB
bracis-19044	101	18	with	with	ADP
bracis-19044	101	19	meta	meta	ADJ
bracis-19044	101	20	-	-	PUNCT
bracis-19044	101	21	estimator	estimator	NOUN
bracis-19044	101	22	lr	lr	PROPN
bracis-19044	101	23	(	(	PUNCT
bracis-19044	101	24	b	b	NOUN
bracis-19044	101	25	-	-	PUNCT
bracis-19044	101	26	lr	lr	NOUN
bracis-19044	101	27	)	)	PUNCT
bracis-19044	101	28	,	,	PUNCT
bracis-19044	101	29	bagging	bag	VERB
bracis-19044	101	30	with	with	ADP
bracis-19044	101	31	meta	meta	ADJ
bracis-19044	101	32	-	-	PUNCT
bracis-19044	101	33	estimator	estimator	NOUN
bracis-19044	101	34	dt	dt	X
bracis-19044	101	35	(	(	PUNCT
bracis-19044	101	36	b	b	X
bracis-19044	101	37	-	-	PUNCT
bracis-19044	101	38	dt	dt	NOUN
bracis-19044	101	39	)	)	PUNCT
bracis-19044	101	40	,	,	PUNCT
bracis-19044	101	41	bagging	bag	VERB
bracis-19044	101	42	with	with	ADP
bracis-19044	101	43	meta	meta	ADJ
bracis-19044	101	44	-	-	PUNCT
bracis-19044	101	45	estimator	estimator	NOUN
bracis-19044	101	46	htr	htr	PROPN
bracis-19044	101	47	(	(	PUNCT
bracis-19044	101	48	b	b	PROPN
bracis-19044	101	49	-	-	PUNCT
bracis-19044	101	50	htr	htr	NOUN
bracis-19044	101	51	)	)	PUNCT
bracis-19044	101	52	and	and	CCONJ
bracis-19044	101	53	bagging	bag	VERB
bracis-19044	101	54	with	with	ADP
bracis-19044	101	55	meta	meta	ADJ
bracis-19044	101	56	-	-	PUNCT
bracis-19044	101	57	estimator	estimator	NOUN
bracis-19044	101	58	mlp	mlp	PROPN
bracis-19044	101	59	(	(	PUNCT
bracis-19044	101	60	b	b	PROPN
bracis-19044	101	61	-	-	PUNCT
bracis-19044	101	62	mlp	mlp	NOUN
bracis-19044	101	63	)	)	PUNCT
bracis-19044	102	1	[	[	X
bracis-19044	102	2	5	5	NUM
bracis-19044	102	3	]	]	PUNCT
bracis-19044	102	4	.	.	PUNCT
bracis-19044	103	1	the	the	DET
bracis-19044	103	2	experiments	experiment	NOUN
bracis-19044	103	3	described	describe	VERB
bracis-19044	103	4	here	here	ADV
bracis-19044	103	5	used	use	VERB
bracis-19044	103	6	scikit	scikit	NOUN
bracis-19044	103	7	-	-	PUNCT
bracis-19044	103	8	multiflow	multiflow	NOUN
bracis-19044	103	9	:	:	PUNCT
bracis-19044	103	10	a	a	DET
bracis-19044	103	11	multi	multi	ADJ
bracis-19044	103	12	-	-	ADJ
bracis-19044	103	13	output	output	ADJ
bracis-19044	103	14	streaming	streaming	NOUN
bracis-19044	103	15	framework	framework	NOUN
bracis-19044	103	16	[	[	X
bracis-19044	103	17	11	11	NUM
bracis-19044	103	18	]	]	PUNCT
bracis-19044	103	19	.	.	PUNCT
bracis-19044	104	1	to	to	PART
bracis-19044	104	2	run	run	VERB
bracis-19044	104	3	the	the	DET
bracis-19044	104	4	experiments	experiment	NOUN
bracis-19044	104	5	,	,	PUNCT
bracis-19044	104	6	we	we	PRON
bracis-19044	104	7	used	use	VERB
bracis-19044	104	8	a	a	DET
bracis-19044	104	9	machine	machine	NOUN
bracis-19044	104	10	running	run	VERB
bracis-19044	104	11	a	a	DET
bracis-19044	104	12	64	64	NUM
bracis-19044	104	13	-	-	PUNCT
bracis-19044	104	14	bit	bit	NOUN
bracis-19044	104	15	operational	operational	ADJ
bracis-19044	104	16	system	system	NOUN
bracis-19044	104	17	with	with	ADP
bracis-19044	104	18	4	4	NUM
bracis-19044	104	19	gb	gb	NOUN
bracis-19044	104	20	of	of	ADP
bracis-19044	104	21	ram	ram	NOUN
bracis-19044	104	22	and	and	CCONJ
bracis-19044	104	23	a	a	DET
bracis-19044	104	24	2.20	2.20	NUM
bracis-19044	104	25	 	 	SPACE
bracis-19044	104	26	ghz	ghz	NOUN
bracis-19044	104	27	intel(r	intel(r	NOUN
bracis-19044	104	28	)	)	PUNCT
bracis-19044	104	29	i5	i5	PROPN
bracis-19044	104	30	-	-	PUNCT
bracis-19044	104	31	5200u	5200u	NUM
bracis-19044	104	32	cpu	cpu	NOUN
bracis-19044	104	33	.	.	PUNCT
bracis-19044	105	1	we	we	PRON
bracis-19044	105	2	use	use	VERB
bracis-19044	105	3	\(relmae=	\(relmae=	NOUN
bracis-19044	105	4	\frac{\left|	\frac{\left|	ADJ
bracis-19044	105	5	y\_true	y\_true	PROPN
bracis-19044	105	6	-	-	PUNCT
bracis-19044	105	7	y\_pred	y\_pre	VERB
bracis-19044	105	8	\right|	\right|	NOUN
bracis-19044	105	9	}	}	PUNCT
bracis-19044	105	10	{	{	PUNCT
bracis-19044	105	11	mean\_absolute\_error(y\_true	mean\_absolute\_error(y\_true	PROPN
bracis-19044	105	12	,	,	PUNCT
bracis-19044	105	13	y\_pred)}\	y\_pred)}\	PROPN
bracis-19044	105	14	)	)	PUNCT
bracis-19044	105	15	to	to	PART
bracis-19044	105	16	evaluate	evaluate	VERB
bracis-19044	105	17	the	the	DET
bracis-19044	105	18	predicted	predict	VERB
bracis-19044	105	19	value	value	NOUN
bracis-19044	105	20	against	against	ADP
bracis-19044	105	21	the	the	DET
bracis-19044	105	22	actual	actual	ADJ
bracis-19044	105	23	value	value	NOUN
bracis-19044	105	24	of	of	ADP
bracis-19044	105	25	the	the	DET
bracis-19044	105	26	data	datum	NOUN
bracis-19044	105	27	set	set	VERB
bracis-19044	105	28	,	,	PUNCT
bracis-19044	105	29	indicating	indicate	VERB
bracis-19044	105	30	whether	whether	SCONJ
bracis-19044	105	31	it	it	PRON
bracis-19044	105	32	correctly	correctly	ADV
bracis-19044	105	33	classified	classify	VERB
bracis-19044	105	34	the	the	DET
bracis-19044	105	35	instance	instance	NOUN
bracis-19044	105	36	.	.	PUNCT
bracis-19044	106	1	if	if	SCONJ
bracis-19044	106	2	relmae	relmae	VERB
bracis-19044	106	3	gets	get	VERB
bracis-19044	106	4	a	a	DET
bracis-19044	106	5	value	value	NOUN
bracis-19044	106	6	less	less	ADJ
bracis-19044	106	7	than	than	ADP
bracis-19044	106	8	1	1	NUM
bracis-19044	106	9	,	,	PUNCT
bracis-19044	106	10	we	we	PRON
bracis-19044	106	11	treated	treat	VERB
bracis-19044	106	12	the	the	DET
bracis-19044	106	13	learner	learner	NOUN
bracis-19044	106	14	’s	’s	PART
bracis-19044	106	15	prediction	prediction	NOUN
bracis-19044	106	16	as	as	ADP
bracis-19044	106	17	correct	correct	ADJ
bracis-19044	106	18	,	,	PUNCT
bracis-19044	106	19	otherwise	otherwise	ADV
bracis-19044	106	20	it	it	PRON
bracis-19044	106	21	was	be	AUX
bracis-19044	106	22	considered	consider	VERB
bracis-19044	106	23	wrong	wrong	ADJ
bracis-19044	106	24	.	.	PUNCT
bracis-19044	107	1	this	this	DET
bracis-19044	107	2	value	value	NOUN
bracis-19044	107	3	is	be	AUX
bracis-19044	107	4	passed	pass	VERB
bracis-19044	107	5	to	to	ADP
bracis-19044	107	6	a	a	DET
bracis-19044	107	7	parameterized	parameterized	ADJ
bracis-19044	107	8	drift	drift	NOUN
bracis-19044	107	9	detector	detector	NOUN
bracis-19044	107	10	,	,	PUNCT
bracis-19044	107	11	which	which	PRON
bracis-19044	107	12	will	will	AUX
bracis-19044	107	13	flag	flag	VERB
bracis-19044	107	14	the	the	DET
bracis-19044	107	15	example	example	NOUN
bracis-19044	107	16	for	for	ADP
bracis-19044	107	17	no	no	DET
bracis-19044	107	18	drift	drift	NOUN
bracis-19044	107	19	or	or	CCONJ
bracis-19044	107	20	true	true	ADJ
bracis-19044	107	21	drift	drift	NOUN
bracis-19044	107	22	.	.	PUNCT
bracis-19044	108	1	if	if	SCONJ
bracis-19044	108	2	true	true	ADJ
bracis-19044	108	3	drift	drift	NOUN
bracis-19044	108	4	is	be	AUX
bracis-19044	108	5	identified	identify	VERB
bracis-19044	108	6	,	,	PUNCT
bracis-19044	108	7	the	the	DET
bracis-19044	108	8	base	base	ADJ
bracis-19044	108	9	learner	learner	NOUN
bracis-19044	108	10	is	be	AUX
bracis-19044	108	11	trained	train	VERB
bracis-19044	108	12	on	on	ADP
bracis-19044	108	13	the	the	DET
bracis-19044	108	14	instance	instance	NOUN
bracis-19044	108	15	that	that	PRON
bracis-19044	108	16	has	have	AUX
bracis-19044	108	17	just	just	ADV
bracis-19044	108	18	arrived	arrive	VERB
bracis-19044	108	19	.	.	PUNCT
bracis-19044	109	1	if	if	SCONJ
bracis-19044	109	2	no	no	DET
bracis-19044	109	3	drift	drift	NOUN
bracis-19044	109	4	is	be	AUX
bracis-19044	109	5	found	find	VERB
bracis-19044	109	6	,	,	PUNCT
bracis-19044	109	7	the	the	DET
bracis-19044	109	8	instance	instance	NOUN
bracis-19044	109	9	is	be	AUX
bracis-19044	109	10	not	not	PART
bracis-19044	109	11	used	use	VERB
bracis-19044	109	12	for	for	ADP
bracis-19044	109	13	training	training	NOUN
bracis-19044	109	14	.	.	PUNCT
bracis-19044	110	1	scikit	scikit	NOUN
bracis-19044	110	2	-	-	PUNCT
bracis-19044	110	3	multiflow	multiflow	NOUN
bracis-19044	110	4	provides	provide	VERB
bracis-19044	110	5	the	the	DET
bracis-19044	110	6	following	follow	VERB
bracis-19044	110	7	concept	concept	NOUN
bracis-19044	110	8	drift	drift	NOUN
bracis-19044	110	9	detection	detection	NOUN
bracis-19044	110	10	methods	method	NOUN
bracis-19044	110	11	:	:	PUNCT
bracis-19044	110	12	adwin	adwin	PROPN
bracis-19044	110	13	,	,	PUNCT
bracis-19044	110	14	ddm	ddm	PROPN
bracis-19044	110	15	,	,	PUNCT
bracis-19044	110	16	eddm	eddm	NOUN
bracis-19044	110	17	,	,	PUNCT
bracis-19044	110	18	hddm_a	hddm_a	NOUN
bracis-19044	110	19	,	,	PUNCT
bracis-19044	110	20	hddm_w	hddm_w	ADJ
bracis-19044	110	21	,	,	PUNCT
bracis-19044	110	22	kswin	kswin	PROPN
bracis-19044	110	23	and	and	CCONJ
bracis-19044	110	24	pagehinkley	pagehinkley	PROPN
bracis-19044	110	25	,	,	PUNCT
bracis-19044	110	26	which	which	PRON
bracis-19044	110	27	were	be	AUX
bracis-19044	110	28	used	use	VERB
bracis-19044	110	29	with	with	ADP
bracis-19044	110	30	their	their	PRON
bracis-19044	110	31	default	default	NOUN
bracis-19044	110	32	settings	setting	NOUN
bracis-19044	110	33	for	for	ADP
bracis-19044	110	34	the	the	DET
bracis-19044	110	35	paper	paper	NOUN
bracis-19044	110	36	.	.	PUNCT
bracis-19044	111	1	the	the	DET
bracis-19044	111	2	prequential	prequential	ADJ
bracis-19044	111	3	evaluation	evaluation	NOUN
bracis-19044	111	4	method	method	NOUN
bracis-19044	111	5	or	or	CCONJ
bracis-19044	111	6	interleaved	interleaved	ADJ
bracis-19044	111	7	test	test	NOUN
bracis-19044	111	8	-	-	PUNCT
bracis-19044	111	9	then	then	ADV
bracis-19044	111	10	-	-	PUNCT
bracis-19044	111	11	train	train	NOUN
bracis-19044	111	12	method	method	NOUN
bracis-19044	111	13	strategy	strategy	NOUN
bracis-19044	111	14	is	be	AUX
bracis-19044	111	15	used	use	VERB
bracis-19044	111	16	for	for	ADP
bracis-19044	111	17	the	the	DET
bracis-19044	111	18	evaluation	evaluation	NOUN
bracis-19044	111	19	of	of	ADP
bracis-19044	111	20	the	the	DET
bracis-19044	111	21	learning	learning	NOUN
bracis-19044	111	22	models	model	NOUN
bracis-19044	111	23	with	with	ADP
bracis-19044	111	24	concept	concept	NOUN
bracis-19044	111	25	drift	drift	NOUN
bracis-19044	111	26	and	and	CCONJ
bracis-19044	111	27	we	we	PRON
bracis-19044	111	28	performed	perform	VERB
bracis-19044	111	29	thirty	thirty	NUM
bracis-19044	111	30	iterations	iteration	NOUN
bracis-19044	112	1	[	[	X
bracis-19044	112	2	1	1	NUM
bracis-19044	112	3	]	]	PUNCT
bracis-19044	112	4	.	.	PUNCT
bracis-19044	113	1	we	we	PRON
bracis-19044	113	2	chose	choose	VERB
bracis-19044	113	3	the	the	DET
bracis-19044	113	4	mean	mean	ADJ
bracis-19044	113	5	square	square	NOUN
bracis-19044	113	6	error	error	NOUN
bracis-19044	113	7	(	(	PUNCT
bracis-19044	113	8	mse	mse	NOUN
bracis-19044	113	9	)	)	PUNCT
bracis-19044	113	10	for	for	ADP
bracis-19044	113	11	error	error	NOUN
bracis-19044	113	12	metric	metric	NOUN
bracis-19044	113	13	.	.	PUNCT
bracis-19044	114	1	in	in	ADP
bracis-19044	114	2	addition	addition	NOUN
bracis-19044	114	3	,	,	PUNCT
bracis-19044	114	4	we	we	PRON
bracis-19044	114	5	carry	carry	VERB
bracis-19044	114	6	out	out	ADP
bracis-19044	114	7	statistical	statistical	ADJ
bracis-19044	114	8	tests	test	NOUN
bracis-19044	114	9	to	to	PART
bracis-19044	114	10	analyze	analyze	VERB
bracis-19044	114	11	the	the	DET
bracis-19044	114	12	predictive	predictive	ADJ
bracis-19044	114	13	performance	performance	NOUN
bracis-19044	114	14	of	of	ADP
bracis-19044	114	15	the	the	DET
bracis-19044	114	16	learning	learning	NOUN
bracis-19044	114	17	models	model	NOUN
bracis-19044	114	18	in	in	ADP
bracis-19044	114	19	relation	relation	NOUN
bracis-19044	114	20	to	to	ADP
bracis-19044	114	21	the	the	DET
bracis-19044	114	22	mse	mse	NOUN
bracis-19044	114	23	error	error	NOUN
bracis-19044	114	24	.	.	PUNCT
bracis-19044	115	1	the	the	DET
bracis-19044	115	2	friedman	friedman	PROPN
bracis-19044	115	3	test	test	NOUN
bracis-19044	115	4	is	be	AUX
bracis-19044	115	5	applied	apply	VERB
bracis-19044	115	6	with	with	ADP
bracis-19044	115	7	\(\alpha	\(\alpha	NOUN
bracis-19044	115	8	=	=	SYM
bracis-19044	115	9	0.05\	0.05\	NUM
bracis-19044	115	10	)	)	PUNCT
bracis-19044	116	1	[	[	X
bracis-19044	116	2	9	9	NUM
bracis-19044	116	3	]	]	PUNCT
bracis-19044	116	4	.	.	PUNCT
bracis-19044	117	1	we	we	PRON
bracis-19044	117	2	present	present	VERB
bracis-19044	117	3	our	our	PRON
bracis-19044	117	4	statistical	statistical	ADJ
bracis-19044	117	5	analysis	analysis	NOUN
bracis-19044	117	6	using	use	VERB
bracis-19044	117	7	critical	critical	ADJ
bracis-19044	117	8	difference	difference	NOUN
bracis-19044	117	9	diagrams	diagram	NOUN
bracis-19044	117	10	.	.	PUNCT
bracis-19044	118	1	we	we	PRON
bracis-19044	118	2	initially	initially	ADV
bracis-19044	118	3	performed	perform	VERB
bracis-19044	118	4	experiments	experiment	NOUN
bracis-19044	118	5	to	to	PART
bracis-19044	118	6	identify	identify	VERB
bracis-19044	118	7	the	the	DET
bracis-19044	118	8	best	good	ADJ
bracis-19044	118	9	parameter	parameter	NOUN
bracis-19044	118	10	settings	setting	NOUN
bracis-19044	118	11	for	for	ADP
bracis-19044	118	12	each	each	PRON
bracis-19044	118	13	of	of	ADP
bracis-19044	118	14	the	the	DET
bracis-19044	118	15	base	base	NOUN
bracis-19044	118	16	learners	learner	NOUN
bracis-19044	118	17	.	.	PUNCT
bracis-19044	119	1	specifically	specifically	ADV
bracis-19044	119	2	,	,	PUNCT
bracis-19044	119	3	we	we	PRON
bracis-19044	119	4	conducted	conduct	VERB
bracis-19044	119	5	a	a	DET
bracis-19044	119	6	grid	grid	NOUN
bracis-19044	119	7	search	search	NOUN
bracis-19044	119	8	to	to	PART
bracis-19044	119	9	choose	choose	VERB
bracis-19044	119	10	hyperparameters	hyperparameter	NOUN
bracis-19044	119	11	from	from	ADP
bracis-19044	119	12	the	the	DET
bracis-19044	119	13	base	base	NOUN
bracis-19044	119	14	learners	learner	NOUN
bracis-19044	119	15	using	use	VERB
bracis-19044	119	16	the	the	DET
bracis-19044	119	17	initial	initial	ADJ
bracis-19044	119	18	training	training	NOUN
bracis-19044	119	19	data	datum	NOUN
bracis-19044	119	20	.	.	PUNCT
bracis-19044	120	1	after	after	ADP
bracis-19044	120	2	identifying	identify	VERB
bracis-19044	120	3	the	the	DET
bracis-19044	120	4	parameters	parameter	NOUN
bracis-19044	120	5	that	that	SCONJ
bracis-19044	120	6	most	most	ADJ
bracis-19044	120	7	influence	influence	NOUN
bracis-19044	120	8	performance	performance	NOUN
bracis-19044	120	9	we	we	PRON
bracis-19044	120	10	conducted	conduct	VERB
bracis-19044	120	11	the	the	DET
bracis-19044	120	12	actual	actual	ADJ
bracis-19044	120	13	experiments	experiment	NOUN
bracis-19044	120	14	.	.	PUNCT
bracis-19044	121	1	all	all	DET
bracis-19044	121	2	models	model	NOUN
bracis-19044	121	3	are	be	AUX
bracis-19044	121	4	from	from	ADP
bracis-19044	121	5	sklearn	sklearn	PROPN
bracis-19044	122	1	[	[	X
bracis-19044	122	2	15	15	NUM
bracis-19044	122	3	]	]	PUNCT
bracis-19044	122	4	and	and	CCONJ
bracis-19044	122	5	scikit	scikit	NOUN
bracis-19044	122	6	-	-	PUNCT
bracis-19044	122	7	multiflow	multiflow	NOUN
bracis-19044	122	8	[	[	X
bracis-19044	122	9	11	11	NUM
bracis-19044	122	10	]	]	PUNCT
bracis-19044	122	11	.	.	PUNCT
bracis-19044	123	1	4	4	NUM
bracis-19044	123	2	experimental	experimental	ADJ
bracis-19044	123	3	results	result	NOUN
bracis-19044	123	4	in	in	ADP
bracis-19044	123	5	this	this	DET
bracis-19044	123	6	section	section	NOUN
bracis-19044	123	7	we	we	PRON
bracis-19044	123	8	present	present	VERB
bracis-19044	123	9	the	the	DET
bracis-19044	123	10	results	result	NOUN
bracis-19044	123	11	of	of	ADP
bracis-19044	123	12	the	the	DET
bracis-19044	123	13	experiments	experiment	NOUN
bracis-19044	123	14	with	with	ADP
bracis-19044	123	15	the	the	DET
bracis-19044	123	16	concept	concept	NOUN
bracis-19044	123	17	drift	drift	NOUN
bracis-19044	123	18	detection	detection	NOUN
bracis-19044	123	19	methods	method	NOUN
bracis-19044	123	20	.	.	PUNCT
bracis-19044	124	1	4.1	4.1	NUM
bracis-19044	124	2	predictive	predictive	ADJ
bracis-19044	124	3	accuracy	accuracy	NOUN
bracis-19044	124	4	and	and	CCONJ
bracis-19044	124	5	drift	drift	NOUN
bracis-19044	124	6	identification	identification	NOUN
bracis-19044	124	7	we	we	PRON
bracis-19044	124	8	performed	perform	VERB
bracis-19044	124	9	a	a	DET
bracis-19044	124	10	broad	broad	ADJ
bracis-19044	124	11	base	base	NOUN
bracis-19044	124	12	learner	learner	NOUN
bracis-19044	124	13	study	study	NOUN
bracis-19044	124	14	together	together	ADV
bracis-19044	124	15	with	with	ADP
bracis-19044	124	16	the	the	DET
bracis-19044	124	17	detectors	detector	NOUN
bracis-19044	124	18	.	.	PUNCT
bracis-19044	125	1	therefore	therefore	ADV
bracis-19044	125	2	,	,	PUNCT
bracis-19044	125	3	in	in	ADP
bracis-19044	125	4	addition	addition	NOUN
bracis-19044	125	5	to	to	ADP
bracis-19044	125	6	the	the	DET
bracis-19044	125	7	detectors	detector	NOUN
bracis-19044	125	8	,	,	PUNCT
bracis-19044	125	9	we	we	PRON
bracis-19044	125	10	compare	compare	VERB
bracis-19044	125	11	the	the	DET
bracis-19044	125	12	base	base	ADJ
bracis-19044	125	13	learner	learner	NOUN
bracis-19044	125	14	without	without	ADP
bracis-19044	125	15	updating	update	VERB
bracis-19044	125	16	with	with	ADP
bracis-19044	125	17	test	test	NOUN
bracis-19044	125	18	data	datum	NOUN
bracis-19044	125	19	(	(	PUNCT
bracis-19044	125	20	called	call	VERB
bracis-19044	125	21	no	no	DET
bracis-19044	125	22	partial	partial	NOUN
bracis-19044	125	23	)	)	PUNCT
bracis-19044	125	24	and	and	CCONJ
bracis-19044	125	25	updating	update	VERB
bracis-19044	125	26	whenever	whenever	SCONJ
bracis-19044	125	27	new	new	ADJ
bracis-19044	125	28	test	test	NOUN
bracis-19044	125	29	data	datum	NOUN
bracis-19044	125	30	arrives	arrive	VERB
bracis-19044	125	31	,	,	PUNCT
bracis-19044	125	32	regardless	regardless	ADV
bracis-19044	125	33	of	of	ADP
bracis-19044	125	34	detection	detection	NOUN
bracis-19044	125	35	(	(	PUNCT
bracis-19044	125	36	called	call	VERB
bracis-19044	125	37	partial	partial	ADJ
bracis-19044	125	38	)	)	PUNCT
bracis-19044	125	39	.	.	PUNCT
bracis-19044	126	1	figure	figure	NOUN
bracis-19044	126	2	 	 	SPACE
bracis-19044	126	3	2	2	NUM
bracis-19044	126	4	shows	show	VERB
bracis-19044	126	5	the	the	DET
bracis-19044	126	6	heat	heat	NOUN
bracis-19044	126	7	map	map	NOUN
bracis-19044	126	8	of	of	ADP
bracis-19044	126	9	the	the	DET
bracis-19044	126	10	mean	mean	PROPN
bracis-19044	126	11	mse	mse	NOUN
bracis-19044	126	12	value	value	NOUN
bracis-19044	126	13	of	of	ADP
bracis-19044	126	14	all	all	DET
bracis-19044	126	15	cd	cd	NOUN
bracis-19044	126	16	detectors	detector	NOUN
bracis-19044	126	17	and	and	CCONJ
bracis-19044	126	18	base	base	NOUN
bracis-19044	126	19	learners	learner	NOUN
bracis-19044	126	20	across	across	ADP
bracis-19044	126	21	the	the	DET
bracis-19044	126	22	30	30	NUM
bracis-19044	126	23	iterations	iteration	NOUN
bracis-19044	126	24	with	with	ADP
bracis-19044	126	25	distinct	distinct	ADJ
bracis-19044	126	26	seeds	seed	NOUN
bracis-19044	126	27	.	.	PUNCT
bracis-19044	127	1	errors	error	NOUN
bracis-19044	127	2	are	be	AUX
bracis-19044	127	3	normalized	normalize	VERB
bracis-19044	127	4	between	between	ADP
bracis-19044	127	5	0	0	NUM
bracis-19044	127	6	and	and	CCONJ
bracis-19044	127	7	1	1	NUM
bracis-19044	127	8	.	.	X
bracis-19044	127	9	fig	fig	NOUN
bracis-19044	127	10	.	.	PUNCT
bracis-19044	128	1	2	2	X
bracis-19044	128	2	.	.	X
bracis-19044	128	3	heatmap	heatmap	NOUN
bracis-19044	128	4	of	of	ADP
bracis-19044	128	5	normalized	normalize	VERB
bracis-19044	128	6	mse	mse	NOUN
bracis-19044	128	7	errors	error	NOUN
bracis-19044	128	8	full	full	ADJ
bracis-19044	128	9	size	size	NOUN
bracis-19044	128	10	image	image	NOUN
bracis-19044	128	11	fig	fig	NOUN
bracis-19044	128	12	.	.	PUNCT
bracis-19044	129	1	3	3	X
bracis-19044	129	2	.	.	X
bracis-19044	129	3	comparison	comparison	NOUN
bracis-19044	129	4	of	of	ADP
bracis-19044	129	5	all	all	DET
bracis-19044	129	6	base	base	ADJ
bracis-19044	129	7	learner	learner	NOUN
bracis-19044	129	8	and	and	CCONJ
bracis-19044	129	9	detectors	detector	NOUN
bracis-19044	129	10	using	use	VERB
bracis-19044	129	11	average	average	ADJ
bracis-19044	129	12	mse	mse	NOUN
bracis-19044	129	13	accuracies	accuracy	NOUN
bracis-19044	129	14	in	in	ADP
bracis-19044	129	15	dataset	dataset	NOUN
bracis-19044	129	16	3d_mex.hat	3d_mex.hat	NUM
bracis-19044	129	17	,	,	PUNCT
bracis-19044	129	18	and	and	CCONJ
bracis-19044	129	19	average	average	ADJ
bracis-19044	129	20	drifts	drift	NOUN
bracis-19044	129	21	points	point	VERB
bracis-19044	129	22	detection	detection	NOUN
bracis-19044	129	23	.	.	PUNCT
bracis-19044	130	1	full	full	ADJ
bracis-19044	130	2	size	size	NOUN
bracis-19044	130	3	image	image	NOUN
bracis-19044	130	4	fig	fig	NOUN
bracis-19044	130	5	.	.	PUNCT
bracis-19044	131	1	4	4	X
bracis-19044	131	2	.	.	X
bracis-19044	131	3	comparison	comparison	NOUN
bracis-19044	131	4	of	of	ADP
bracis-19044	131	5	all	all	DET
bracis-19044	131	6	base	base	ADJ
bracis-19044	131	7	learner	learner	NOUN
bracis-19044	131	8	and	and	CCONJ
bracis-19044	131	9	detectors	detector	NOUN
bracis-19044	131	10	using	use	VERB
bracis-19044	131	11	average	average	ADJ
bracis-19044	131	12	mse	mse	NOUN
bracis-19044	131	13	accuracies	accuracy	NOUN
bracis-19044	131	14	in	in	ADP
bracis-19044	131	15	dataset	dataset	NOUN
bracis-19044	131	16	friedman#1	friedman#1	NOUN
bracis-19044	131	17	,	,	PUNCT
bracis-19044	131	18	and	and	CCONJ
bracis-19044	131	19	average	average	ADJ
bracis-19044	131	20	drifts	drift	NOUN
bracis-19044	131	21	points	point	VERB
bracis-19044	131	22	detection	detection	NOUN
bracis-19044	131	23	.	.	PUNCT
bracis-19044	132	1	full	full	ADJ
bracis-19044	132	2	size	size	NOUN
bracis-19044	132	3	image	image	NOUN
bracis-19044	132	4	fig	fig	NOUN
bracis-19044	132	5	.	.	PUNCT
bracis-19044	133	1	5	5	NUM
bracis-19044	133	2	.	.	X
bracis-19044	133	3	comparison	comparison	NOUN
bracis-19044	133	4	of	of	ADP
bracis-19044	133	5	all	all	DET
bracis-19044	133	6	base	base	ADJ
bracis-19044	133	7	learner	learner	NOUN
bracis-19044	133	8	and	and	CCONJ
bracis-19044	133	9	detectors	detector	NOUN
bracis-19044	133	10	using	use	VERB
bracis-19044	133	11	average	average	ADJ
bracis-19044	133	12	mse	mse	NOUN
bracis-19044	133	13	accuracies	accuracy	NOUN
bracis-19044	133	14	in	in	ADP
bracis-19044	133	15	datase	datase	PROPN
bracis-19044	133	16	friedman#3	friedman#3	PROPN
bracis-19044	133	17	,	,	PUNCT
bracis-19044	133	18	and	and	CCONJ
bracis-19044	133	19	average	average	ADJ
bracis-19044	133	20	drifts	drift	NOUN
bracis-19044	133	21	points	point	VERB
bracis-19044	133	22	detection	detection	NOUN
bracis-19044	133	23	.	.	PUNCT
bracis-19044	134	1	full	full	ADJ
bracis-19044	134	2	size	size	NOUN
bracis-19044	134	3	image	image	NOUN
bracis-19044	134	4	fig	fig	NOUN
bracis-19044	134	5	.	.	PUNCT
bracis-19044	135	1	6	6	NUM
bracis-19044	135	2	.	.	X
bracis-19044	135	3	comparison	comparison	NOUN
bracis-19044	135	4	of	of	ADP
bracis-19044	135	5	all	all	DET
bracis-19044	135	6	base	base	ADJ
bracis-19044	135	7	learner	learner	NOUN
bracis-19044	135	8	and	and	CCONJ
bracis-19044	135	9	detectors	detector	NOUN
bracis-19044	135	10	using	use	VERB
bracis-19044	135	11	average	average	ADJ
bracis-19044	135	12	mse	mse	NOUN
bracis-19044	135	13	accuracies	accuracy	NOUN
bracis-19044	135	14	in	in	ADP
bracis-19044	135	15	dataset	dataset	NOUN
bracis-19044	135	16	mult	mult	PROPN
bracis-19044	135	17	,	,	PUNCT
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bracis-19044	135	19	average	average	ADJ
bracis-19044	135	20	drifts	drift	NOUN
bracis-19044	135	21	points	point	VERB
bracis-19044	135	22	detection	detection	NOUN
bracis-19044	135	23	.	.	PUNCT
bracis-19044	136	1	full	full	ADJ
bracis-19044	136	2	size	size	NOUN
bracis-19044	136	3	image	image	NOUN
bracis-19044	136	4	fig	fig	NOUN
bracis-19044	136	5	.	.	PUNCT
bracis-19044	137	1	7	7	X
bracis-19044	137	2	.	.	X
bracis-19044	137	3	comparison	comparison	NOUN
bracis-19044	137	4	of	of	ADP
bracis-19044	137	5	all	all	DET
bracis-19044	137	6	base	base	ADJ
bracis-19044	137	7	learner	learner	NOUN
bracis-19044	137	8	and	and	CCONJ
bracis-19044	137	9	detectors	detector	NOUN
bracis-19044	137	10	using	use	VERB
bracis-19044	137	11	average	average	ADJ
bracis-19044	137	12	mse	mse	NOUN
bracis-19044	137	13	accuracies	accuracy	NOUN
bracis-19044	137	14	in	in	ADP
bracis-19044	137	15	dataset	dataset	ADJ
bracis-19044	137	16	bike	bike	NOUN
bracis-19044	137	17	,	,	PUNCT
bracis-19044	137	18	and	and	CCONJ
bracis-19044	137	19	average	average	ADJ
bracis-19044	137	20	drifts	drift	NOUN
bracis-19044	137	21	points	point	VERB
bracis-19044	137	22	detection	detection	NOUN
bracis-19044	137	23	.	.	PUNCT
bracis-19044	138	1	full	full	ADJ
bracis-19044	138	2	size	size	NOUN
bracis-19044	138	3	image	image	NOUN
bracis-19044	138	4	fig	fig	NOUN
bracis-19044	138	5	.	.	PUNCT
bracis-19044	139	1	8	8	X
bracis-19044	139	2	.	.	X
bracis-19044	139	3	average	average	ADJ
bracis-19044	139	4	drifts	drift	NOUN
bracis-19044	139	5	points	point	VERB
bracis-19044	139	6	detection	detection	NOUN
bracis-19044	139	7	for	for	ADP
bracis-19044	139	8	datasets	dataset	NOUN
bracis-19044	139	9	fccu1	fccu1	VERB
bracis-19044	139	10	,	,	PUNCT
bracis-19044	139	11	fccu2	fccu2	ADJ
bracis-19044	139	12	and	and	CCONJ
bracis-19044	139	13	,	,	PUNCT
bracis-19044	139	14	fccu3	fccu3	NOUN
bracis-19044	139	15	full	full	ADJ
bracis-19044	139	16	size	size	NOUN
bracis-19044	139	17	image	image	NOUN
bracis-19044	139	18	we	we	PRON
bracis-19044	139	19	analyzed	analyze	VERB
bracis-19044	139	20	the	the	DET
bracis-19044	139	21	average	average	ADJ
bracis-19044	139	22	points	point	NOUN
bracis-19044	139	23	of	of	ADP
bracis-19044	139	24	detection	detection	NOUN
bracis-19044	139	25	for	for	ADP
bracis-19044	139	26	all	all	DET
bracis-19044	139	27	different	different	ADJ
bracis-19044	139	28	scenarios	scenario	NOUN
bracis-19044	139	29	.	.	PUNCT
bracis-19044	140	1	figure	figure	NOUN
bracis-19044	140	2	 	 	SPACE
bracis-19044	140	3	3	3	NUM
bracis-19044	140	4	presents	present	VERB
bracis-19044	140	5	the	the	DET
bracis-19044	140	6	mean	mean	ADJ
bracis-19044	140	7	error	error	NOUN
bracis-19044	140	8	along	along	ADP
bracis-19044	140	9	the	the	DET
bracis-19044	140	10	data	data	NOUN
bracis-19044	140	11	stream	stream	NOUN
bracis-19044	140	12	for	for	ADP
bracis-19044	140	13	dataset	dataset	ADJ
bracis-19044	140	14	3d_mex.hat	3d_mex.hat	NUM
bracis-19044	140	15	.	.	PUNCT
bracis-19044	141	1	only	only	ADV
bracis-19044	141	2	the	the	DET
bracis-19044	141	3	lr	lr	PROPN
bracis-19044	141	4	,	,	PUNCT
bracis-19044	141	5	htr	htr	PROPN
bracis-19044	141	6	,	,	PUNCT
bracis-19044	141	7	b	b	X
bracis-19044	141	8	-	-	PUNCT
bracis-19044	141	9	lr	lr	NOUN
bracis-19044	141	10	and	and	CCONJ
bracis-19044	141	11	b	b	PROPN
bracis-19044	141	12	-	-	PUNCT
bracis-19044	141	13	htr	htr	PROPN
bracis-19044	141	14	base	base	NOUN
bracis-19044	141	15	learners	learner	NOUN
bracis-19044	141	16	showed	show	VERB
bracis-19044	141	17	lower	low	ADJ
bracis-19044	141	18	errors	error	NOUN
bracis-19044	141	19	as	as	SCONJ
bracis-19044	141	20	the	the	DET
bracis-19044	141	21	new	new	ADJ
bracis-19044	141	22	test	test	NOUN
bracis-19044	141	23	data	datum	NOUN
bracis-19044	141	24	arrived	arrive	VERB
bracis-19044	141	25	,	,	PUNCT
bracis-19044	141	26	even	even	ADV
bracis-19044	141	27	in	in	ADP
bracis-19044	141	28	cases	case	NOUN
bracis-19044	141	29	when	when	SCONJ
bracis-19044	141	30	no	no	DET
bracis-19044	141	31	cd	cd	NOUN
bracis-19044	141	32	was	be	AUX
bracis-19044	141	33	detected	detect	VERB
bracis-19044	141	34	by	by	ADP
bracis-19044	141	35	adwin	adwin	PROPN
bracis-19044	141	36	,	,	PUNCT
bracis-19044	141	37	ddm	ddm	PROPN
bracis-19044	141	38	,	,	PUNCT
bracis-19044	141	39	hddm_a	hddm_a	NOUN
bracis-19044	141	40	and	and	CCONJ
bracis-19044	141	41	hddm_w	hddm_w	ADJ
bracis-19044	141	42	.	.	PUNCT
bracis-19044	142	1	a	a	DET
bracis-19044	142	2	higher	high	ADJ
bracis-19044	142	3	number	number	NOUN
bracis-19044	142	4	of	of	ADP
bracis-19044	142	5	wrong	wrong	ADJ
bracis-19044	142	6	detections	detection	NOUN
bracis-19044	142	7	can	can	AUX
bracis-19044	142	8	lead	lead	VERB
bracis-19044	142	9	to	to	ADP
bracis-19044	142	10	larger	large	ADJ
bracis-19044	142	11	errors	error	NOUN
bracis-19044	142	12	,	,	PUNCT
bracis-19044	142	13	because	because	SCONJ
bracis-19044	142	14	models	model	NOUN
bracis-19044	142	15	are	be	AUX
bracis-19044	142	16	retrained	retrain	VERB
bracis-19044	142	17	with	with	ADP
bracis-19044	142	18	data	datum	NOUN
bracis-19044	142	19	from	from	ADP
bracis-19044	142	20	the	the	DET
bracis-19044	142	21	detected	detect	VERB
bracis-19044	142	22	new	new	ADJ
bracis-19044	142	23	concept	concept	NOUN
bracis-19044	142	24	.	.	PUNCT
bracis-19044	143	1	additionally	additionally	ADV
bracis-19044	143	2	,	,	PUNCT
bracis-19044	143	3	due	due	ADP
bracis-19044	143	4	to	to	ADP
bracis-19044	143	5	the	the	DET
bracis-19044	143	6	small	small	ADJ
bracis-19044	143	7	number	number	NOUN
bracis-19044	143	8	of	of	ADP
bracis-19044	143	9	training	training	NOUN
bracis-19044	143	10	data	datum	NOUN
bracis-19044	143	11	of	of	ADP
bracis-19044	143	12	each	each	DET
bracis-19044	143	13	new	new	ADJ
bracis-19044	143	14	concept	concept	NOUN
bracis-19044	143	15	,	,	PUNCT
bracis-19044	143	16	base	base	NOUN
bracis-19044	143	17	learners	learner	NOUN
bracis-19044	143	18	that	that	PRON
bracis-19044	143	19	are	be	AUX
bracis-19044	143	20	not	not	PART
bracis-19044	143	21	able	able	ADJ
bracis-19044	143	22	to	to	PART
bracis-19044	143	23	learn	learn	VERB
bracis-19044	143	24	incrementally	incrementally	ADV
bracis-19044	143	25	may	may	AUX
bracis-19044	143	26	show	show	VERB
bracis-19044	143	27	worse	bad	ADJ
bracis-19044	143	28	performances	performance	NOUN
bracis-19044	143	29	.	.	PUNCT
bracis-19044	144	1	differently	differently	ADV
bracis-19044	144	2	from	from	ADP
bracis-19044	144	3	the	the	DET
bracis-19044	144	4	previous	previous	ADJ
bracis-19044	144	5	scenario	scenario	NOUN
bracis-19044	144	6	,	,	PUNCT
bracis-19044	144	7	fig	fig	NOUN
bracis-19044	144	8	.	.	PUNCT
bracis-19044	144	9	 	 	SPACE
bracis-19044	144	10	4	4	NUM
bracis-19044	144	11	shows	show	VERB
bracis-19044	144	12	that	that	SCONJ
bracis-19044	144	13	for	for	ADP
bracis-19044	144	14	dataset	dataset	ADJ
bracis-19044	144	15	\(friedman\#1\	\(friedman\#1\	NOUN
bracis-19044	144	16	)	)	PUNCT
bracis-19044	144	17	most	most	ADJ
bracis-19044	144	18	models	model	NOUN
bracis-19044	144	19	have	have	AUX
bracis-19044	144	20	increasing	increase	VERB
bracis-19044	144	21	errors	error	NOUN
bracis-19044	144	22	along	along	ADP
bracis-19044	144	23	the	the	DET
bracis-19044	144	24	data	data	NOUN
bracis-19044	144	25	stream	stream	NOUN
bracis-19044	144	26	.	.	PUNCT
bracis-19044	145	1	however	however	ADV
bracis-19044	145	2	,	,	PUNCT
bracis-19044	145	3	base	base	PROPN
bracis-19044	145	4	learner	learner	NOUN
bracis-19044	145	5	htr	htr	PROPN
bracis-19044	145	6	together	together	ADV
bracis-19044	145	7	with	with	ADP
bracis-19044	145	8	detector	detector	NOUN
bracis-19044	145	9	ph	ph	NOUN
bracis-19044	145	10	have	have	AUX
bracis-19044	145	11	decreased	decrease	VERB
bracis-19044	145	12	errors	error	NOUN
bracis-19044	145	13	beginning	begin	VERB
bracis-19044	145	14	with	with	ADP
bracis-19044	145	15	point	point	NOUN
bracis-19044	145	16	2000	2000	NUM
bracis-19044	145	17	.	.	PUNCT
bracis-19044	146	1	this	this	PRON
bracis-19044	146	2	happened	happen	VERB
bracis-19044	146	3	due	due	ADP
bracis-19044	146	4	to	to	ADP
bracis-19044	146	5	successful	successful	ADJ
bracis-19044	146	6	drift	drift	NOUN
bracis-19044	146	7	point	point	NOUN
bracis-19044	146	8	detections	detection	NOUN
bracis-19044	146	9	followed	follow	VERB
bracis-19044	146	10	by	by	ADP
bracis-19044	146	11	base	base	ADJ
bracis-19044	146	12	learner	learner	NOUN
bracis-19044	146	13	updates	update	NOUN
bracis-19044	146	14	.	.	PUNCT
bracis-19044	147	1	base	base	NOUN
bracis-19044	147	2	learners	learner	NOUN
bracis-19044	147	3	mlp	mlp	NOUN
bracis-19044	147	4	and	and	CCONJ
bracis-19044	147	5	b	b	X
bracis-19044	147	6	-	-	PUNCT
bracis-19044	147	7	mlp	mlp	PROPN
bracis-19044	147	8	also	also	ADV
bracis-19044	147	9	showed	show	VERB
bracis-19044	147	10	lower	low	ADJ
bracis-19044	147	11	errors	error	NOUN
bracis-19044	147	12	when	when	SCONJ
bracis-19044	147	13	paired	pair	VERB
bracis-19044	147	14	with	with	ADP
bracis-19044	147	15	the	the	DET
bracis-19044	147	16	adwin	adwin	PROPN
bracis-19044	147	17	and	and	CCONJ
bracis-19044	147	18	ph	ph	NOUN
bracis-19044	147	19	detectors	detector	NOUN
bracis-19044	147	20	.	.	PUNCT
bracis-19044	148	1	figure	figure	VERB
bracis-19044	148	2	 	 	SPACE
bracis-19044	148	3	5	5	NUM
bracis-19044	148	4	presents	present	NOUN
bracis-19044	148	5	results	result	NOUN
bracis-19044	148	6	for	for	ADP
bracis-19044	148	7	dataset	dataset	ADJ
bracis-19044	148	8	\(friedman\#3\	\(friedman\#3\	NOUN
bracis-19044	148	9	)	)	PUNCT
bracis-19044	148	10	.	.	PUNCT
bracis-19044	149	1	most	most	ADJ
bracis-19044	149	2	base	base	NOUN
bracis-19044	149	3	learners	learner	NOUN
bracis-19044	149	4	,	,	PUNCT
bracis-19044	149	5	except	except	SCONJ
bracis-19044	149	6	mlp	mlp	PROPN
bracis-19044	149	7	and	and	CCONJ
bracis-19044	149	8	b	b	PROPN
bracis-19044	149	9	-	-	PUNCT
bracis-19044	149	10	mlp	mlp	NOUN
bracis-19044	149	11	,	,	PUNCT
bracis-19044	149	12	had	have	VERB
bracis-19044	149	13	lower	low	ADJ
bracis-19044	149	14	errors	error	NOUN
bracis-19044	149	15	at	at	ADP
bracis-19044	149	16	point	point	NOUN
bracis-19044	149	17	2000	2000	NUM
bracis-19044	149	18	.	.	PUNCT
bracis-19044	150	1	for	for	ADP
bracis-19044	150	2	dataset	dataset	PROPN
bracis-19044	150	3	mult	mult	PROPN
bracis-19044	150	4	,	,	PUNCT
bracis-19044	150	5	fig	fig	NOUN
bracis-19044	150	6	.	.	PUNCT
bracis-19044	150	7	 	 	SPACE
bracis-19044	150	8	6	6	NUM
bracis-19044	150	9	shows	show	VERB
bracis-19044	150	10	variation	variation	NOUN
bracis-19044	150	11	in	in	ADP
bracis-19044	150	12	the	the	DET
bracis-19044	150	13	error	error	NOUN
bracis-19044	150	14	value	value	NOUN
bracis-19044	150	15	,	,	PUNCT
bracis-19044	150	16	with	with	ADP
bracis-19044	150	17	increasing	increase	VERB
bracis-19044	150	18	errors	error	NOUN
bracis-19044	150	19	starting	start	VERB
bracis-19044	150	20	at	at	ADP
bracis-19044	150	21	point	point	NOUN
bracis-19044	150	22	2000	2000	NUM
bracis-19044	150	23	in	in	ADP
bracis-19044	150	24	most	most	ADJ
bracis-19044	150	25	cases	case	NOUN
bracis-19044	150	26	.	.	PUNCT
bracis-19044	151	1	in	in	ADP
bracis-19044	151	2	such	such	ADJ
bracis-19044	151	3	cases	case	NOUN
bracis-19044	151	4	,	,	PUNCT
bracis-19044	151	5	the	the	DET
bracis-19044	151	6	error	error	NOUN
bracis-19044	151	7	increases	increase	VERB
bracis-19044	151	8	because	because	SCONJ
bracis-19044	151	9	it	it	PRON
bracis-19044	151	10	is	be	AUX
bracis-19044	151	11	necessary	necessary	ADJ
bracis-19044	151	12	to	to	PART
bracis-19044	151	13	retrain	retrain	VERB
bracis-19044	151	14	the	the	DET
bracis-19044	151	15	base	base	NOUN
bracis-19044	151	16	learners	learner	NOUN
bracis-19044	151	17	given	give	VERB
bracis-19044	151	18	the	the	DET
bracis-19044	151	19	new	new	ADJ
bracis-19044	151	20	concept	concept	NOUN
bracis-19044	151	21	.	.	PUNCT
bracis-19044	152	1	thus	thus	ADV
bracis-19044	152	2	,	,	PUNCT
bracis-19044	152	3	we	we	PRON
bracis-19044	152	4	can	can	AUX
bracis-19044	152	5	see	see	VERB
bracis-19044	152	6	that	that	SCONJ
bracis-19044	152	7	the	the	DET
bracis-19044	152	8	base	base	NOUN
bracis-19044	152	9	learners	learner	NOUN
bracis-19044	152	10	were	be	AUX
bracis-19044	152	11	not	not	PART
bracis-19044	152	12	updated	update	VERB
bracis-19044	152	13	correctly	correctly	ADV
bracis-19044	152	14	.	.	PUNCT
bracis-19044	153	1	regarding	regard	VERB
bracis-19044	153	2	synthetic	synthetic	ADJ
bracis-19044	153	3	data	datum	NOUN
bracis-19044	153	4	,	,	PUNCT
bracis-19044	153	5	the	the	DET
bracis-19044	153	6	best	good	ADJ
bracis-19044	153	7	average	average	ADJ
bracis-19044	153	8	detection	detection	NOUN
bracis-19044	153	9	performances	performance	NOUN
bracis-19044	153	10	were	be	AUX
bracis-19044	153	11	obtained	obtain	VERB
bracis-19044	153	12	by	by	ADP
bracis-19044	153	13	eddm	eddm	NOUN
bracis-19044	153	14	,	,	PUNCT
bracis-19044	153	15	kswin	kswin	PROPN
bracis-19044	153	16	and	and	CCONJ
bracis-19044	153	17	ph	ph	VERB
bracis-19044	153	18	,	,	PUNCT
bracis-19044	153	19	considering	consider	VERB
bracis-19044	153	20	the	the	DET
bracis-19044	153	21	different	different	ADJ
bracis-19044	153	22	base	base	NOUN
bracis-19044	153	23	learners	learner	NOUN
bracis-19044	153	24	.	.	PUNCT
bracis-19044	154	1	these	these	PRON
bracis-19044	154	2	indicates	indicate	VERB
bracis-19044	154	3	that	that	SCONJ
bracis-19044	154	4	in	in	ADP
bracis-19044	154	5	these	these	DET
bracis-19044	154	6	scenarios	scenario	NOUN
bracis-19044	154	7	where	where	SCONJ
bracis-19044	154	8	concept	concept	NOUN
bracis-19044	154	9	drift	drift	NOUN
bracis-19044	154	10	happens	happen	VERB
bracis-19044	154	11	gradually	gradually	ADV
bracis-19044	154	12	,	,	PUNCT
bracis-19044	154	13	these	these	DET
bracis-19044	154	14	methods	method	NOUN
bracis-19044	154	15	are	be	AUX
bracis-19044	154	16	able	able	ADJ
bracis-19044	154	17	to	to	PART
bracis-19044	154	18	detect	detect	VERB
bracis-19044	154	19	small	small	ADJ
bracis-19044	154	20	variations	variation	NOUN
bracis-19044	154	21	in	in	ADP
bracis-19044	154	22	data	datum	NOUN
bracis-19044	154	23	distribution	distribution	NOUN
bracis-19044	154	24	.	.	PUNCT
bracis-19044	155	1	for	for	ADP
bracis-19044	155	2	the	the	DET
bracis-19044	155	3	bike	bike	NOUN
bracis-19044	155	4	dataset	dataset	NOUN
bracis-19044	155	5	(	(	PUNCT
bracis-19044	155	6	fig	fig	NOUN
bracis-19044	155	7	.	.	PUNCT
bracis-19044	155	8	 	 	SPACE
bracis-19044	155	9	7	7	NUM
bracis-19044	155	10	)	)	PUNCT
bracis-19044	155	11	,	,	PUNCT
bracis-19044	155	12	only	only	ADV
bracis-19044	155	13	adwin	adwin	PROPN
bracis-19044	155	14	and	and	CCONJ
bracis-19044	155	15	ph	ph	NOUN
bracis-19044	155	16	were	be	AUX
bracis-19044	155	17	not	not	PART
bracis-19044	155	18	able	able	ADJ
bracis-19044	155	19	to	to	PART
bracis-19044	155	20	detect	detect	VERB
bracis-19044	155	21	any	any	DET
bracis-19044	155	22	concept	concept	NOUN
bracis-19044	155	23	drift	drift	NOUN
bracis-19044	155	24	in	in	ADP
bracis-19044	155	25	the	the	DET
bracis-19044	155	26	data	datum	NOUN
bracis-19044	155	27	.	.	PUNCT
bracis-19044	156	1	the	the	DET
bracis-19044	156	2	base	base	NOUN
bracis-19044	156	3	learners	learner	NOUN
bracis-19044	156	4	varied	varied	ADJ
bracis-19044	156	5	significantly	significantly	ADV
bracis-19044	156	6	according	accord	VERB
bracis-19044	156	7	in	in	ADP
bracis-19044	156	8	their	their	PRON
bracis-19044	156	9	error	error	NOUN
bracis-19044	156	10	values	value	NOUN
bracis-19044	156	11	.	.	PUNCT
bracis-19044	157	1	additionally	additionally	ADV
bracis-19044	157	2	,	,	PUNCT
bracis-19044	157	3	we	we	PRON
bracis-19044	157	4	observed	observe	VERB
bracis-19044	157	5	that	that	SCONJ
bracis-19044	157	6	all	all	DET
bracis-19044	157	7	pairs	pair	NOUN
bracis-19044	157	8	of	of	ADP
bracis-19044	157	9	base	base	NOUN
bracis-19044	157	10	learners	learner	NOUN
bracis-19044	157	11	and	and	CCONJ
bracis-19044	157	12	detectors	detector	NOUN
bracis-19044	157	13	increased	increase	VERB
bracis-19044	157	14	their	their	PRON
bracis-19044	157	15	errors	error	NOUN
bracis-19044	157	16	around	around	ADP
bracis-19044	157	17	point	point	NOUN
bracis-19044	157	18	200	200	NUM
bracis-19044	157	19	,	,	PUNCT
bracis-19044	157	20	with	with	ADP
bracis-19044	157	21	worse	bad	ADJ
bracis-19044	157	22	performances	performance	NOUN
bracis-19044	157	23	coming	come	VERB
bracis-19044	157	24	from	from	ADP
bracis-19044	157	25	adwin	adwin	PROPN
bracis-19044	157	26	and	and	CCONJ
bracis-19044	157	27	ph	ph	ADJ
bracis-19044	157	28	.	.	PUNCT
bracis-19044	158	1	these	these	DET
bracis-19044	158	2	detectors	detector	NOUN
bracis-19044	158	3	did	do	AUX
bracis-19044	158	4	not	not	PART
bracis-19044	158	5	adjust	adjust	VERB
bracis-19044	158	6	well	well	ADV
bracis-19044	158	7	to	to	ADP
bracis-19044	158	8	the	the	DET
bracis-19044	158	9	concept	concept	NOUN
bracis-19044	158	10	changes	change	NOUN
bracis-19044	158	11	in	in	ADP
bracis-19044	158	12	this	this	DET
bracis-19044	158	13	dataset	dataset	NOUN
bracis-19044	158	14	.	.	PUNCT
bracis-19044	159	1	due	due	ADP
bracis-19044	159	2	to	to	ADP
bracis-19044	159	3	small	small	ADJ
bracis-19044	159	4	changes	change	NOUN
bracis-19044	159	5	in	in	ADP
bracis-19044	159	6	the	the	DET
bracis-19044	159	7	average	average	ADJ
bracis-19044	159	8	errors	error	NOUN
bracis-19044	159	9	for	for	ADP
bracis-19044	159	10	datasets	dataset	NOUN
bracis-19044	159	11	fccu1	fccu1	VERB
bracis-19044	159	12	,	,	PUNCT
bracis-19044	159	13	fccu2	fccu2	ADJ
bracis-19044	159	14	and	and	CCONJ
bracis-19044	159	15	fccu3	fccu3	PROPN
bracis-19044	159	16	,	,	PUNCT
bracis-19044	159	17	fig	fig	NOUN
bracis-19044	159	18	.	.	PUNCT
bracis-19044	159	19	 	 	SPACE
bracis-19044	160	1	8	8	NUM
bracis-19044	160	2	only	only	ADV
bracis-19044	160	3	shows	show	VERB
bracis-19044	160	4	the	the	DET
bracis-19044	160	5	average	average	ADJ
bracis-19044	160	6	detection	detection	NOUN
bracis-19044	160	7	points	point	NOUN
bracis-19044	160	8	.	.	PUNCT
bracis-19044	161	1	only	only	ADV
bracis-19044	161	2	kswin	kswin	PROPN
bracis-19044	161	3	was	be	AUX
bracis-19044	161	4	able	able	ADJ
bracis-19044	161	5	to	to	PART
bracis-19044	161	6	find	find	VERB
bracis-19044	161	7	drift	drift	NOUN
bracis-19044	161	8	points	point	NOUN
bracis-19044	161	9	.	.	PUNCT
bracis-19044	162	1	this	this	PRON
bracis-19044	162	2	is	be	AUX
bracis-19044	162	3	likely	likely	ADJ
bracis-19044	162	4	due	due	ADJ
bracis-19044	162	5	to	to	PART
bracis-19044	162	6	lack	lack	NOUN
bracis-19044	162	7	of	of	ADP
bracis-19044	162	8	enough	enough	ADJ
bracis-19044	162	9	data	datum	NOUN
bracis-19044	162	10	to	to	PART
bracis-19044	162	11	train	train	VERB
bracis-19044	162	12	the	the	DET
bracis-19044	162	13	base	base	NOUN
bracis-19044	162	14	learners	learner	NOUN
bracis-19044	162	15	,	,	PUNCT
bracis-19044	162	16	which	which	PRON
bracis-19044	162	17	would	would	AUX
bracis-19044	162	18	allow	allow	VERB
bracis-19044	162	19	better	well	ADJ
bracis-19044	162	20	precision	precision	NOUN
bracis-19044	162	21	for	for	ADP
bracis-19044	162	22	the	the	DET
bracis-19044	162	23	detectors	detector	NOUN
bracis-19044	162	24	.	.	PUNCT
bracis-19044	163	1	for	for	ADP
bracis-19044	163	2	fccu1	fccu1	NOUN
bracis-19044	163	3	and	and	CCONJ
bracis-19044	163	4	fccu3	fccu3	NOUN
bracis-19044	163	5	,	,	PUNCT
bracis-19044	163	6	only	only	ADV
bracis-19044	163	7	the	the	DET
bracis-19044	163	8	partial	partial	ADJ
bracis-19044	163	9	model	model	NOUN
bracis-19044	163	10	,	,	PUNCT
bracis-19044	163	11	which	which	PRON
bracis-19044	163	12	always	always	ADV
bracis-19044	163	13	retrains	retrain	VERB
bracis-19044	163	14	with	with	ADP
bracis-19044	163	15	the	the	DET
bracis-19044	163	16	new	new	ADJ
bracis-19044	163	17	test	test	NOUN
bracis-19044	163	18	data	datum	NOUN
bracis-19044	163	19	,	,	PUNCT
bracis-19044	163	20	obtained	obtain	VERB
bracis-19044	163	21	significantly	significantly	ADV
bracis-19044	163	22	lower	low	ADJ
bracis-19044	163	23	errors	error	NOUN
bracis-19044	163	24	.	.	PUNCT
bracis-19044	164	1	for	for	ADP
bracis-19044	164	2	fccu2	fccu2	NOUN
bracis-19044	164	3	,	,	PUNCT
bracis-19044	164	4	all	all	DET
bracis-19044	164	5	models	model	NOUN
bracis-19044	164	6	behaved	behave	VERB
bracis-19044	164	7	similarly	similarly	ADV
bracis-19044	164	8	,	,	PUNCT
bracis-19044	164	9	with	with	ADP
bracis-19044	164	10	slightly	slightly	ADV
bracis-19044	164	11	decreasing	decrease	VERB
bracis-19044	164	12	errors	error	NOUN
bracis-19044	164	13	.	.	PUNCT
bracis-19044	165	1	our	our	PRON
bracis-19044	165	2	results	result	NOUN
bracis-19044	165	3	show	show	VERB
bracis-19044	165	4	that	that	SCONJ
bracis-19044	165	5	,	,	PUNCT
bracis-19044	165	6	in	in	ADP
bracis-19044	165	7	addition	addition	NOUN
bracis-19044	165	8	to	to	ADP
bracis-19044	165	9	the	the	DET
bracis-19044	165	10	base	base	ADJ
bracis-19044	165	11	learner	learner	NOUN
bracis-19044	165	12	and	and	CCONJ
bracis-19044	165	13	to	to	ADP
bracis-19044	165	14	the	the	DET
bracis-19044	165	15	detector	detector	NOUN
bracis-19044	165	16	,	,	PUNCT
bracis-19044	165	17	the	the	DET
bracis-19044	165	18	pace	pace	NOUN
bracis-19044	165	19	at	at	ADP
bracis-19044	165	20	which	which	PRON
bracis-19044	165	21	the	the	DET
bracis-19044	165	22	drift	drift	NOUN
bracis-19044	165	23	happens	happen	VERB
bracis-19044	165	24	and	and	CCONJ
bracis-19044	165	25	the	the	DET
bracis-19044	165	26	number	number	NOUN
bracis-19044	165	27	of	of	ADP
bracis-19044	165	28	instances	instance	NOUN
bracis-19044	165	29	available	available	ADJ
bracis-19044	165	30	to	to	PART
bracis-19044	165	31	update	update	VERB
bracis-19044	165	32	the	the	DET
bracis-19044	165	33	base	base	NOUN
bracis-19044	165	34	learner	learner	NOUN
bracis-19044	165	35	all	all	PRON
bracis-19044	165	36	contribute	contribute	VERB
bracis-19044	165	37	significantly	significantly	ADV
bracis-19044	165	38	to	to	ADP
bracis-19044	165	39	the	the	DET
bracis-19044	165	40	overall	overall	ADJ
bracis-19044	165	41	performance	performance	NOUN
bracis-19044	165	42	.	.	PUNCT
bracis-19044	166	1	4.2	4.2	NUM
bracis-19044	166	2	statistical	statistical	ADJ
bracis-19044	166	3	analysis	analysis	NOUN
bracis-19044	166	4	we	we	PRON
bracis-19044	166	5	used	use	VERB
bracis-19044	166	6	critical	critical	ADJ
bracis-19044	166	7	difference	difference	NOUN
bracis-19044	166	8	diagrams	diagram	NOUN
bracis-19044	166	9	and	and	CCONJ
bracis-19044	166	10	nemenyi	nemenyi	PROPN
bracis-19044	166	11	test	test	NOUN
bracis-19044	166	12	to	to	PART
bracis-19044	166	13	compare	compare	VERB
bracis-19044	166	14	all	all	DET
bracis-19044	166	15	detectors	detector	NOUN
bracis-19044	166	16	across	across	ADP
bracis-19044	166	17	all	all	DET
bracis-19044	166	18	8	8	NUM
bracis-19044	166	19	datasets	dataset	NOUN
bracis-19044	166	20	for	for	ADP
bracis-19044	166	21	the	the	DET
bracis-19044	166	22	different	different	ADJ
bracis-19044	166	23	base	base	NOUN
bracis-19044	166	24	learners	learner	NOUN
bracis-19044	166	25	.	.	PUNCT
bracis-19044	167	1	the	the	DET
bracis-19044	167	2	resulting	result	VERB
bracis-19044	167	3	diagrams	diagram	NOUN
bracis-19044	167	4	can	can	AUX
bracis-19044	167	5	be	be	AUX
bracis-19044	167	6	seen	see	VERB
bracis-19044	167	7	in	in	ADP
bracis-19044	167	8	fig	fig	NOUN
bracis-19044	167	9	.	.	PUNCT
bracis-19044	167	10	 	 	SPACE
bracis-19044	168	1	9	9	NUM
bracis-19044	168	2	.	.	PUNCT
bracis-19044	169	1	this	this	DET
bracis-19044	169	2	analysis	analysis	NOUN
bracis-19044	169	3	shows	show	VERB
bracis-19044	169	4	that	that	SCONJ
bracis-19044	169	5	the	the	DET
bracis-19044	169	6	detectors	detector	NOUN
bracis-19044	169	7	have	have	VERB
bracis-19044	169	8	statistically	statistically	ADV
bracis-19044	169	9	similar	similar	ADJ
bracis-19044	169	10	performances	performance	NOUN
bracis-19044	169	11	for	for	ADP
bracis-19044	169	12	all	all	DET
bracis-19044	169	13	base	base	NOUN
bracis-19044	169	14	learners	learner	NOUN
bracis-19044	169	15	.	.	PUNCT
bracis-19044	170	1	fig	fig	NOUN
bracis-19044	170	2	.	.	PUNCT
bracis-19044	171	1	9	9	X
bracis-19044	171	2	.	.	X
bracis-19044	171	3	comparison	comparison	NOUN
bracis-19044	171	4	of	of	ADP
bracis-19044	171	5	all	all	DET
bracis-19044	171	6	regressors	regressor	NOUN
bracis-19044	171	7	against	against	ADP
bracis-19044	171	8	each	each	DET
bracis-19044	171	9	other	other	ADJ
bracis-19044	171	10	with	with	ADP
bracis-19044	171	11	the	the	DET
bracis-19044	171	12	nemenyi	nemenyi	PROPN
bracis-19044	171	13	test	test	NOUN
bracis-19044	171	14	.	.	PUNCT
bracis-19044	172	1	groups	group	NOUN
bracis-19044	172	2	of	of	ADP
bracis-19044	172	3	regressors	regressor	NOUN
bracis-19044	172	4	that	that	PRON
bracis-19044	172	5	are	be	AUX
bracis-19044	172	6	not	not	PART
bracis-19044	172	7	significantly	significantly	ADV
bracis-19044	172	8	different	different	ADJ
bracis-19044	172	9	(	(	PUNCT
bracis-19044	172	10	at	at	ADP
bracis-19044	172	11	\(\alpha	\(\alpha	X
bracis-19044	172	12	\	\	NOUN
bracis-19044	172	13	)	)	PUNCT
bracis-19044	172	14	0:05	0:05	NUM
bracis-19044	172	15	)	)	PUNCT
bracis-19044	172	16	are	be	AUX
bracis-19044	172	17	connected	connect	VERB
bracis-19044	172	18	full	full	ADJ
bracis-19044	172	19	size	size	NOUN
bracis-19044	172	20	image	image	NOUN
bracis-19044	172	21	as	as	SCONJ
bracis-19044	172	22	shown	show	VERB
bracis-19044	172	23	in	in	ADP
bracis-19044	172	24	fig	fig	NOUN
bracis-19044	172	25	.	.	PUNCT
bracis-19044	172	26	 	 	SPACE
bracis-19044	172	27	9a	9a	NOUN
bracis-19044	172	28	,	,	PUNCT
bracis-19044	172	29	all	all	DET
bracis-19044	172	30	detectors	detector	NOUN
bracis-19044	172	31	had	have	VERB
bracis-19044	172	32	similar	similar	ADJ
bracis-19044	172	33	performances	performance	NOUN
bracis-19044	172	34	with	with	ADP
bracis-19044	172	35	base	base	ADJ
bracis-19044	172	36	learner	learner	NOUN
bracis-19044	172	37	br	br	PROPN
bracis-19044	172	38	.	.	PUNCT
bracis-19044	173	1	this	this	PRON
bracis-19044	173	2	even	even	ADV
bracis-19044	173	3	includes	include	VERB
bracis-19044	173	4	the	the	DET
bracis-19044	173	5	model	model	NOUN
bracis-19044	173	6	without	without	ADP
bracis-19044	173	7	any	any	DET
bracis-19044	173	8	cd	cd	NOUN
bracis-19044	173	9	detectors	detector	NOUN
bracis-19044	173	10	(	(	PUNCT
bracis-19044	173	11	no	no	DET
bracis-19044	173	12	partial	partial	NOUN
bracis-19044	173	13	)	)	PUNCT
bracis-19044	173	14	,	,	PUNCT
bracis-19044	173	15	which	which	PRON
bracis-19044	173	16	only	only	ADV
bracis-19044	173	17	learns	learn	VERB
bracis-19044	173	18	from	from	ADP
bracis-19044	173	19	the	the	DET
bracis-19044	173	20	first	first	ADJ
bracis-19044	173	21	training	training	NOUN
bracis-19044	173	22	data	datum	NOUN
bracis-19044	173	23	and	and	CCONJ
bracis-19044	173	24	is	be	AUX
bracis-19044	173	25	only	only	ADV
bracis-19044	173	26	used	use	VERB
bracis-19044	173	27	for	for	ADP
bracis-19044	173	28	testing	testing	NOUN
bracis-19044	173	29	.	.	PUNCT
bracis-19044	174	1	the	the	DET
bracis-19044	174	2	same	same	ADJ
bracis-19044	174	3	happens	happen	VERB
bracis-19044	174	4	in	in	ADP
bracis-19044	174	5	figs	fig	NOUN
bracis-19044	174	6	.	.	PUNCT
bracis-19044	174	7	 	 	SPACE
bracis-19044	175	1	9b	9b	NOUN
bracis-19044	175	2	,	,	PUNCT
bracis-19044	175	3	9f	9f	NUM
bracis-19044	175	4	,	,	PUNCT
bracis-19044	175	5	9i	9i	NOUN
bracis-19044	175	6	and	and	CCONJ
bracis-19044	175	7	9	9	NUM
bracis-19044	175	8	g.	g.	NOUN
bracis-19044	175	9	figure	figure	NOUN
bracis-19044	175	10	 	 	SPACE
bracis-19044	175	11	9c	9c	NUM
bracis-19044	175	12	,	,	PUNCT
bracis-19044	175	13	on	on	ADP
bracis-19044	175	14	the	the	DET
bracis-19044	175	15	other	other	ADJ
bracis-19044	175	16	hand	hand	NOUN
bracis-19044	175	17	,	,	PUNCT
bracis-19044	175	18	shows	show	VERB
bracis-19044	175	19	that	that	SCONJ
bracis-19044	175	20	there	there	PRON
bracis-19044	175	21	are	be	VERB
bracis-19044	175	22	two	two	NUM
bracis-19044	175	23	distinct	distinct	ADJ
bracis-19044	175	24	groups	group	NOUN
bracis-19044	175	25	of	of	ADP
bracis-19044	175	26	detectors	detector	NOUN
bracis-19044	175	27	.	.	PUNCT
bracis-19044	176	1	this	this	PRON
bracis-19044	176	2	is	be	AUX
bracis-19044	176	3	mainly	mainly	ADV
bracis-19044	176	4	because	because	SCONJ
bracis-19044	176	5	the	the	DET
bracis-19044	176	6	partial	partial	ADJ
bracis-19044	176	7	method	method	NOUN
bracis-19044	176	8	,	,	PUNCT
bracis-19044	176	9	which	which	PRON
bracis-19044	176	10	always	always	ADV
bracis-19044	176	11	updates	update	VERB
bracis-19044	176	12	with	with	ADP
bracis-19044	176	13	every	every	DET
bracis-19044	176	14	new	new	ADJ
bracis-19044	176	15	block	block	NOUN
bracis-19044	176	16	of	of	ADP
bracis-19044	176	17	test	test	NOUN
bracis-19044	176	18	data	datum	NOUN
bracis-19044	176	19	in	in	ADP
bracis-19044	176	20	the	the	DET
bracis-19044	176	21	stream	stream	NOUN
bracis-19044	176	22	,	,	PUNCT
bracis-19044	176	23	significantly	significantly	ADV
bracis-19044	176	24	outperformed	outperform	VERB
bracis-19044	176	25	every	every	DET
bracis-19044	176	26	detector	detector	NOUN
bracis-19044	176	27	,	,	PUNCT
bracis-19044	176	28	except	except	SCONJ
bracis-19044	176	29	for	for	ADP
bracis-19044	176	30	eddm	eddm	NOUN
bracis-19044	176	31	and	and	CCONJ
bracis-19044	176	32	kswin	kswin	PROPN
bracis-19044	176	33	.	.	PUNCT
bracis-19044	177	1	hddm_a	hddm_a	NOUN
bracis-19044	177	2	,	,	PUNCT
bracis-19044	177	3	hddm_w	hddm_w	ADJ
bracis-19044	177	4	,	,	PUNCT
bracis-19044	177	5	adwin	adwin	NOUN
bracis-19044	177	6	,	,	PUNCT
bracis-19044	177	7	ph	ph	PROPN
bracis-19044	177	8	and	and	CCONJ
bracis-19044	177	9	ddm	ddm	PROPN
bracis-19044	177	10	had	have	VERB
bracis-19044	177	11	worse	bad	ADJ
bracis-19044	177	12	errors	error	NOUN
bracis-19044	177	13	than	than	ADP
bracis-19044	177	14	no	no	DET
bracis-19044	177	15	partial	partial	NOUN
bracis-19044	177	16	on	on	ADP
bracis-19044	177	17	average	average	ADJ
bracis-19044	177	18	,	,	PUNCT
bracis-19044	177	19	although	although	SCONJ
bracis-19044	177	20	these	these	DET
bracis-19044	177	21	results	result	NOUN
bracis-19044	177	22	were	be	AUX
bracis-19044	177	23	not	not	PART
bracis-19044	177	24	statistically	statistically	ADV
bracis-19044	177	25	significant	significant	ADJ
bracis-19044	177	26	.	.	PUNCT
bracis-19044	178	1	finally	finally	ADV
bracis-19044	178	2	,	,	PUNCT
bracis-19044	178	3	ddm	ddm	PROPN
bracis-19044	178	4	was	be	AUX
bracis-19044	178	5	statistically	statistically	ADV
bracis-19044	178	6	worse	bad	ADJ
bracis-19044	178	7	than	than	ADP
bracis-19044	178	8	partial	partial	ADJ
bracis-19044	178	9	,	,	PUNCT
bracis-19044	178	10	because	because	SCONJ
bracis-19044	178	11	their	their	PRON
bracis-19044	178	12	distance	distance	NOUN
bracis-19044	178	13	is	be	AUX
bracis-19044	178	14	larger	large	ADJ
bracis-19044	178	15	than	than	ADP
bracis-19044	178	16	the	the	DET
bracis-19044	178	17	critical	critical	ADJ
bracis-19044	178	18	difference	difference	NOUN
bracis-19044	178	19	.	.	PUNCT
bracis-19044	179	1	figure	figure	NOUN
bracis-19044	179	2	 	 	SPACE
bracis-19044	179	3	9d	9d	NOUN
bracis-19044	179	4	shows	show	VERB
bracis-19044	179	5	that	that	SCONJ
bracis-19044	179	6	no	no	DET
bracis-19044	179	7	partial	partial	ADJ
bracis-19044	179	8	,	,	PUNCT
bracis-19044	179	9	adwin	adwin	PROPN
bracis-19044	179	10	,	,	PUNCT
bracis-19044	179	11	ddm	ddm	PROPN
bracis-19044	179	12	,	,	PUNCT
bracis-19044	179	13	hddm_a	hddm_a	NOUN
bracis-19044	179	14	and	and	CCONJ
bracis-19044	179	15	hdddm_w	hdddm_w	ADJ
bracis-19044	179	16	share	share	VERB
bracis-19044	179	17	the	the	DET
bracis-19044	179	18	same	same	ADJ
bracis-19044	179	19	average	average	ADJ
bracis-19044	179	20	rank	rank	NOUN
bracis-19044	179	21	,	,	PUNCT
bracis-19044	179	22	which	which	PRON
bracis-19044	179	23	means	mean	VERB
bracis-19044	179	24	that	that	SCONJ
bracis-19044	179	25	these	these	DET
bracis-19044	179	26	detectors	detector	NOUN
bracis-19044	179	27	did	do	AUX
bracis-19044	179	28	not	not	PART
bracis-19044	179	29	improve	improve	VERB
bracis-19044	179	30	the	the	DET
bracis-19044	179	31	performance	performance	NOUN
bracis-19044	179	32	of	of	ADP
bracis-19044	179	33	the	the	DET
bracis-19044	179	34	base	base	NOUN
bracis-19044	179	35	learner	learner	NOUN
bracis-19044	179	36	trained	train	VERB
bracis-19044	179	37	only	only	ADV
bracis-19044	179	38	on	on	ADP
bracis-19044	179	39	the	the	DET
bracis-19044	179	40	original	original	ADJ
bracis-19044	179	41	training	training	NOUN
bracis-19044	179	42	data	datum	NOUN
bracis-19044	179	43	.	.	PUNCT
bracis-19044	180	1	the	the	DET
bracis-19044	180	2	same	same	ADJ
bracis-19044	180	3	happened	happen	VERB
bracis-19044	180	4	with	with	ADP
bracis-19044	180	5	ddm	ddm	PROPN
bracis-19044	180	6	with	with	ADP
bracis-19044	180	7	base	base	ADJ
bracis-19044	180	8	learner	learner	NOUN
bracis-19044	180	9	mlp	mlp	PROPN
bracis-19044	180	10	(	(	PUNCT
bracis-19044	180	11	9e	9e	NOUN
bracis-19044	180	12	)	)	PUNCT
bracis-19044	180	13	,	,	PUNCT
bracis-19044	180	14	where	where	SCONJ
bracis-19044	180	15	ddm	ddm	PROPN
bracis-19044	180	16	and	and	CCONJ
bracis-19044	180	17	no	no	DET
bracis-19044	180	18	partial	partial	ADJ
bracis-19044	180	19	were	be	AUX
bracis-19044	180	20	outside	outside	ADP
bracis-19044	180	21	the	the	DET
bracis-19044	180	22	critical	critical	ADJ
bracis-19044	180	23	difference	difference	NOUN
bracis-19044	180	24	when	when	SCONJ
bracis-19044	180	25	compared	compare	VERB
bracis-19044	180	26	to	to	ADP
bracis-19044	180	27	partial	partial	ADJ
bracis-19044	180	28	,	,	PUNCT
bracis-19044	180	29	which	which	PRON
bracis-19044	180	30	led	lead	VERB
bracis-19044	180	31	to	to	ADP
bracis-19044	180	32	two	two	NUM
bracis-19044	180	33	separate	separate	ADJ
bracis-19044	180	34	performance	performance	NOUN
bracis-19044	180	35	groups	group	NOUN
bracis-19044	180	36	.	.	PUNCT
bracis-19044	181	1	similarly	similarly	ADV
bracis-19044	181	2	,	,	PUNCT
bracis-19044	181	3	9h	9h	NUM
bracis-19044	181	4	shows	show	VERB
bracis-19044	181	5	that	that	PRON
bracis-19044	181	6	adwin	adwin	PROPN
bracis-19044	181	7	and	and	CCONJ
bracis-19044	181	8	no	no	DET
bracis-19044	181	9	partial	partial	ADJ
bracis-19044	181	10	are	be	AUX
bracis-19044	181	11	statistically	statistically	ADV
bracis-19044	181	12	worse	bad	ADJ
bracis-19044	181	13	than	than	ADP
bracis-19044	181	14	partial	partial	ADJ
bracis-19044	181	15	,	,	PUNCT
bracis-19044	181	16	resulting	result	VERB
bracis-19044	181	17	in	in	ADP
bracis-19044	181	18	two	two	NUM
bracis-19044	181	19	groups	group	NOUN
bracis-19044	181	20	:	:	PUNCT
bracis-19044	181	21	the	the	DET
bracis-19044	181	22	first	first	ADJ
bracis-19044	181	23	includes	include	VERB
bracis-19044	181	24	methods	method	NOUN
bracis-19044	181	25	that	that	PRON
bracis-19044	181	26	had	have	VERB
bracis-19044	181	27	statistically	statistically	ADV
bracis-19044	181	28	similar	similar	ADJ
bracis-19044	181	29	errors	error	NOUN
bracis-19044	181	30	to	to	ADP
bracis-19044	181	31	partial	partial	ADJ
bracis-19044	181	32	and	and	CCONJ
bracis-19044	181	33	the	the	DET
bracis-19044	181	34	second	second	ADJ
bracis-19044	181	35	includes	include	VERB
bracis-19044	181	36	those	those	PRON
bracis-19044	181	37	that	that	PRON
bracis-19044	181	38	were	be	AUX
bracis-19044	181	39	similar	similar	ADJ
bracis-19044	181	40	to	to	AUX
bracis-19044	181	41	adwin	adwin	VERB
bracis-19044	181	42	and	and	CCONJ
bracis-19044	181	43	no	no	DET
bracis-19044	181	44	partial	partial	ADJ
bracis-19044	181	45	.	.	PUNCT
bracis-19044	182	1	finally	finally	ADV
bracis-19044	182	2	,	,	PUNCT
bracis-19044	182	3	fig	fig	NOUN
bracis-19044	182	4	.	.	PUNCT
bracis-19044	182	5	 	 	SPACE
bracis-19044	183	1	9j	9j	PROPN
bracis-19044	183	2	shows	show	VERB
bracis-19044	183	3	that	that	SCONJ
bracis-19044	183	4	only	only	ADV
bracis-19044	183	5	eddm	eddm	NOUN
bracis-19044	183	6	,	,	PUNCT
bracis-19044	183	7	no	no	DET
bracis-19044	183	8	partial	partial	ADJ
bracis-19044	183	9	and	and	CCONJ
bracis-19044	183	10	ddm	ddm	PROPN
bracis-19044	183	11	were	be	AUX
bracis-19044	183	12	statistically	statistically	ADV
bracis-19044	183	13	worse	bad	ADJ
bracis-19044	183	14	than	than	ADP
bracis-19044	183	15	partial	partial	ADJ
bracis-19044	183	16	.	.	PUNCT
bracis-19044	184	1	the	the	DET
bracis-19044	184	2	only	only	ADJ
bracis-19044	184	3	case	case	NOUN
bracis-19044	184	4	were	be	AUX
bracis-19044	184	5	partial	partial	ADJ
bracis-19044	184	6	was	be	AUX
bracis-19044	184	7	not	not	PART
bracis-19044	184	8	alone	alone	ADJ
bracis-19044	184	9	in	in	ADP
bracis-19044	184	10	the	the	DET
bracis-19044	184	11	top	top	ADJ
bracis-19044	184	12	rank	rank	NOUN
bracis-19044	184	13	was	be	AUX
bracis-19044	184	14	fig	fig	NOUN
bracis-19044	184	15	.	.	PUNCT
bracis-19044	184	16	 	 	SPACE
bracis-19044	184	17	9i	9i	NOUN
bracis-19044	184	18	,	,	PUNCT
bracis-19044	184	19	were	be	AUX
bracis-19044	184	20	it	it	PRON
bracis-19044	184	21	shared	share	VERB
bracis-19044	184	22	the	the	DET
bracis-19044	184	23	position	position	NOUN
bracis-19044	184	24	with	with	ADP
bracis-19044	184	25	no	no	DET
bracis-19044	184	26	partial	partial	NOUN
bracis-19044	184	27	,	,	PUNCT
bracis-19044	184	28	which	which	PRON
bracis-19044	184	29	means	mean	VERB
bracis-19044	184	30	that	that	SCONJ
bracis-19044	184	31	there	there	PRON
bracis-19044	184	32	was	be	VERB
bracis-19044	184	33	not	not	PART
bracis-19044	184	34	benefit	benefit	NOUN
bracis-19044	184	35	in	in	ADP
bracis-19044	184	36	retraining	retrain	VERB
bracis-19044	184	37	the	the	DET
bracis-19044	184	38	model	model	NOUN
bracis-19044	184	39	.	.	PUNCT
bracis-19044	185	1	it	it	PRON
bracis-19044	185	2	is	be	AUX
bracis-19044	185	3	important	important	ADJ
bracis-19044	185	4	to	to	PART
bracis-19044	185	5	point	point	VERB
bracis-19044	185	6	out	out	ADP
bracis-19044	185	7	that	that	SCONJ
bracis-19044	185	8	it	it	PRON
bracis-19044	185	9	is	be	AUX
bracis-19044	185	10	actually	actually	ADV
bracis-19044	185	11	a	a	DET
bracis-19044	185	12	good	good	ADJ
bracis-19044	185	13	result	result	NOUN
bracis-19044	185	14	when	when	SCONJ
bracis-19044	185	15	a	a	DET
bracis-19044	185	16	detector	detector	NOUN
bracis-19044	185	17	is	be	AUX
bracis-19044	185	18	statistically	statistically	ADV
bracis-19044	185	19	similar	similar	ADJ
bracis-19044	185	20	to	to	ADP
bracis-19044	185	21	partial	partial	ADJ
bracis-19044	185	22	,	,	PUNCT
bracis-19044	185	23	because	because	SCONJ
bracis-19044	185	24	it	it	PRON
bracis-19044	185	25	means	mean	VERB
bracis-19044	185	26	that	that	SCONJ
bracis-19044	185	27	,	,	PUNCT
bracis-19044	185	28	as	as	ADP
bracis-19044	185	29	a	a	DET
bracis-19044	185	30	result	result	NOUN
bracis-19044	185	31	of	of	ADP
bracis-19044	185	32	using	use	VERB
bracis-19044	185	33	the	the	DET
bracis-19044	185	34	detector	detector	NOUN
bracis-19044	185	35	,	,	PUNCT
bracis-19044	185	36	the	the	DET
bracis-19044	185	37	base	base	NOUN
bracis-19044	185	38	learner	learner	NOUN
bracis-19044	185	39	performed	perform	VERB
bracis-19044	185	40	just	just	ADV
bracis-19044	185	41	as	as	ADV
bracis-19044	185	42	well	well	ADV
bracis-19044	185	43	as	as	SCONJ
bracis-19044	185	44	if	if	SCONJ
bracis-19044	185	45	it	it	PRON
bracis-19044	185	46	was	be	AUX
bracis-19044	185	47	always	always	ADV
bracis-19044	185	48	retrained	retrain	VERB
bracis-19044	185	49	,	,	PUNCT
bracis-19044	185	50	even	even	ADV
bracis-19044	185	51	though	though	SCONJ
bracis-19044	185	52	it	it	PRON
bracis-19044	185	53	only	only	ADV
bracis-19044	185	54	retrains	retrain	VERB
bracis-19044	185	55	when	when	SCONJ
bracis-19044	185	56	the	the	DET
bracis-19044	185	57	detector	detector	NOUN
bracis-19044	185	58	identifies	identify	VERB
bracis-19044	185	59	a	a	DET
bracis-19044	185	60	drift	drift	NOUN
bracis-19044	185	61	.	.	PUNCT
bracis-19044	186	1	5	5	NUM
bracis-19044	186	2	conclusion	conclusion	NOUN
bracis-19044	186	3	in	in	ADP
bracis-19044	186	4	this	this	DET
bracis-19044	186	5	paper	paper	NOUN
bracis-19044	186	6	,	,	PUNCT
bracis-19044	186	7	seven	seven	NUM
bracis-19044	186	8	cd	cd	NOUN
bracis-19044	186	9	detectors	detector	NOUN
bracis-19044	186	10	were	be	AUX
bracis-19044	186	11	compared	compare	VERB
bracis-19044	186	12	using	use	VERB
bracis-19044	186	13	ten	ten	NUM
bracis-19044	186	14	base	base	NOUN
bracis-19044	186	15	learners	learner	NOUN
bracis-19044	186	16	and	and	CCONJ
bracis-19044	186	17	eight	eight	NUM
bracis-19044	186	18	real	real	ADJ
bracis-19044	186	19	and	and	CCONJ
bracis-19044	186	20	synthetic	synthetic	ADJ
bracis-19044	186	21	datasets	dataset	NOUN
bracis-19044	186	22	.	.	PUNCT
bracis-19044	187	1	the	the	DET
bracis-19044	187	2	resulting	result	VERB
bracis-19044	187	3	python	python	NOUN
bracis-19044	187	4	-	-	PUNCT
bracis-19044	187	5	based	base	VERB
bracis-19044	187	6	frameworkfootnote	frameworkfootnote	NOUN
bracis-19044	187	7	1	1	NUM
bracis-19044	187	8	used	use	VERB
bracis-19044	187	9	the	the	DET
bracis-19044	187	10	sklearn	sklearn	ADJ
bracis-19044	187	11	and	and	CCONJ
bracis-19044	187	12	skmultiflow	skmultiflow	ADJ
bracis-19044	187	13	libraries	library	NOUN
bracis-19044	187	14	and	and	CCONJ
bracis-19044	187	15	will	will	AUX
bracis-19044	187	16	be	be	AUX
bracis-19044	187	17	available	available	ADJ
bracis-19044	187	18	for	for	ADP
bracis-19044	187	19	future	future	ADJ
bracis-19044	187	20	use	use	NOUN
bracis-19044	187	21	by	by	ADP
bracis-19044	187	22	other	other	ADJ
bracis-19044	187	23	researchers	researcher	NOUN
bracis-19044	187	24	,	,	PUNCT
bracis-19044	187	25	who	who	PRON
bracis-19044	187	26	will	will	AUX
bracis-19044	187	27	be	be	AUX
bracis-19044	187	28	able	able	ADJ
bracis-19044	187	29	to	to	PART
bracis-19044	187	30	extend	extend	VERB
bracis-19044	187	31	it	it	PRON
bracis-19044	187	32	with	with	ADP
bracis-19044	187	33	other	other	ADJ
bracis-19044	187	34	base	base	NOUN
bracis-19044	187	35	learners	learner	NOUN
bracis-19044	187	36	,	,	PUNCT
bracis-19044	187	37	detectors	detector	NOUN
bracis-19044	187	38	and	and	CCONJ
bracis-19044	187	39	datasets	dataset	NOUN
bracis-19044	187	40	.	.	PUNCT
bracis-19044	188	1	all	all	DET
bracis-19044	188	2	base	base	NOUN
bracis-19044	188	3	learners	learner	NOUN
bracis-19044	188	4	were	be	AUX
bracis-19044	188	5	optimized	optimize	VERB
bracis-19044	188	6	using	use	VERB
bracis-19044	188	7	a	a	DET
bracis-19044	188	8	grid	grid	NOUN
bracis-19044	188	9	search	search	NOUN
bracis-19044	188	10	procedure	procedure	NOUN
bracis-19044	188	11	,	,	PUNCT
bracis-19044	188	12	such	such	ADJ
bracis-19044	188	13	that	that	SCONJ
bracis-19044	188	14	they	they	PRON
bracis-19044	188	15	would	would	AUX
bracis-19044	188	16	present	present	VERB
bracis-19044	188	17	their	their	PRON
bracis-19044	188	18	best	good	ADJ
bracis-19044	188	19	results	result	NOUN
bracis-19044	188	20	considering	consider	VERB
bracis-19044	188	21	the	the	DET
bracis-19044	188	22	training	training	NOUN
bracis-19044	188	23	data	datum	NOUN
bracis-19044	188	24	.	.	PUNCT
bracis-19044	189	1	average	average	ADJ
bracis-19044	189	2	mse	mse	PROPN
bracis-19044	189	3	results	result	NOUN
bracis-19044	189	4	indicate	indicate	VERB
bracis-19044	189	5	that	that	SCONJ
bracis-19044	189	6	ph	ph	NOUN
bracis-19044	189	7	and	and	CCONJ
bracis-19044	189	8	kswin	kswin	PROPN
bracis-19044	189	9	were	be	AUX
bracis-19044	189	10	the	the	DET
bracis-19044	189	11	best	good	ADJ
bracis-19044	189	12	detectors	detector	NOUN
bracis-19044	189	13	for	for	ADP
bracis-19044	189	14	the	the	DET
bracis-19044	189	15	synthetic	synthetic	ADJ
bracis-19044	189	16	datasets	dataset	NOUN
bracis-19044	189	17	.	.	PUNCT
bracis-19044	190	1	for	for	ADP
bracis-19044	190	2	the	the	DET
bracis-19044	190	3	bike	bike	NOUN
bracis-19044	190	4	dataset	dataset	NOUN
bracis-19044	190	5	,	,	PUNCT
bracis-19044	190	6	eddm	eddm	NOUN
bracis-19044	190	7	,	,	PUNCT
bracis-19044	190	8	hddm_a	hddm_a	NOUN
bracis-19044	190	9	and	and	CCONJ
bracis-19044	190	10	hddm_w	hddm_w	ADJ
bracis-19044	190	11	showed	show	VERB
bracis-19044	190	12	the	the	DET
bracis-19044	190	13	best	good	ADJ
bracis-19044	190	14	average	average	ADJ
bracis-19044	190	15	errors	error	NOUN
bracis-19044	190	16	.	.	PUNCT
bracis-19044	191	1	for	for	ADP
bracis-19044	191	2	the	the	DET
bracis-19044	191	3	other	other	ADJ
bracis-19044	191	4	real	real	ADJ
bracis-19044	191	5	datasets	dataset	NOUN
bracis-19044	191	6	,	,	PUNCT
bracis-19044	191	7	none	none	NOUN
bracis-19044	191	8	of	of	ADP
bracis-19044	191	9	the	the	DET
bracis-19044	191	10	detectors	detector	NOUN
bracis-19044	191	11	identified	identify	VERB
bracis-19044	191	12	any	any	DET
bracis-19044	191	13	drift	drift	NOUN
bracis-19044	191	14	points	point	NOUN
bracis-19044	191	15	.	.	PUNCT
bracis-19044	192	1	the	the	DET
bracis-19044	192	2	base	base	ADJ
bracis-19044	192	3	learner	learner	NOUN
bracis-19044	192	4	has	have	VERB
bracis-19044	192	5	an	an	DET
bracis-19044	192	6	important	important	ADJ
bracis-19044	192	7	impact	impact	NOUN
bracis-19044	192	8	on	on	ADP
bracis-19044	192	9	cd	cd	PROPN
bracis-19044	192	10	detection	detection	NOUN
bracis-19044	192	11	.	.	PUNCT
bracis-19044	193	1	additionally	additionally	ADV
bracis-19044	193	2	,	,	PUNCT
bracis-19044	193	3	considering	consider	VERB
bracis-19044	193	4	the	the	DET
bracis-19044	193	5	approach	approach	NOUN
bracis-19044	193	6	that	that	PRON
bracis-19044	193	7	we	we	PRON
bracis-19044	193	8	used	use	VERB
bracis-19044	193	9	in	in	ADP
bracis-19044	193	10	this	this	DET
bracis-19044	193	11	paper	paper	NOUN
bracis-19044	193	12	,	,	PUNCT
bracis-19044	193	13	i.e.	i.e.	X
bracis-19044	193	14	the	the	DET
bracis-19044	193	15	base	base	ADJ
bracis-19044	193	16	learner	learner	NOUN
bracis-19044	193	17	is	be	AUX
bracis-19044	193	18	updated	update	VERB
bracis-19044	193	19	whenever	whenever	SCONJ
bracis-19044	193	20	cd	cd	PROPN
bracis-19044	193	21	is	be	AUX
bracis-19044	193	22	detected	detect	VERB
bracis-19044	193	23	,	,	PUNCT
bracis-19044	193	24	it	it	PRON
bracis-19044	193	25	is	be	AUX
bracis-19044	193	26	useful	useful	ADJ
bracis-19044	193	27	that	that	SCONJ
bracis-19044	193	28	the	the	DET
bracis-19044	193	29	base	base	ADJ
bracis-19044	193	30	learner	learner	NOUN
bracis-19044	193	31	is	be	AUX
bracis-19044	193	32	able	able	ADJ
bracis-19044	193	33	to	to	PART
bracis-19044	193	34	perform	perform	VERB
bracis-19044	193	35	incremental	incremental	ADJ
bracis-19044	193	36	learning	learning	NOUN
bracis-19044	193	37	,	,	PUNCT
bracis-19044	193	38	such	such	ADJ
bracis-19044	193	39	that	that	SCONJ
bracis-19044	193	40	it	it	PRON
bracis-19044	193	41	gradually	gradually	ADV
bracis-19044	193	42	adapts	adapt	VERB
bracis-19044	193	43	to	to	ADP
bracis-19044	193	44	new	new	ADJ
bracis-19044	193	45	concepts	concept	NOUN
bracis-19044	193	46	.	.	PUNCT
bracis-19044	194	1	therefore	therefore	ADV
bracis-19044	194	2	,	,	PUNCT
bracis-19044	194	3	the	the	DET
bracis-19044	194	4	main	main	ADJ
bracis-19044	194	5	limitation	limitation	NOUN
bracis-19044	194	6	of	of	ADP
bracis-19044	194	7	our	our	PRON
bracis-19044	194	8	work	work	NOUN
bracis-19044	194	9	is	be	AUX
bracis-19044	194	10	that	that	SCONJ
bracis-19044	194	11	only	only	ADV
bracis-19044	194	12	one	one	NUM
bracis-19044	194	13	of	of	ADP
bracis-19044	194	14	the	the	DET
bracis-19044	194	15	base	base	NOUN
bracis-19044	194	16	learners	learner	NOUN
bracis-19044	194	17	can	can	AUX
bracis-19044	194	18	learn	learn	VERB
bracis-19044	194	19	incrementally	incrementally	ADV
bracis-19044	194	20	,	,	PUNCT
bracis-19044	194	21	with	with	ADP
bracis-19044	194	22	the	the	DET
bracis-19044	194	23	other	other	ADJ
bracis-19044	194	24	ones	one	NOUN
bracis-19044	194	25	training	train	VERB
bracis-19044	194	26	from	from	ADP
bracis-19044	194	27	scratch	scratch	NOUN
bracis-19044	194	28	with	with	ADP
bracis-19044	194	29	every	every	DET
bracis-19044	194	30	batch	batch	NOUN
bracis-19044	194	31	of	of	ADP
bracis-19044	194	32	test	test	NOUN
bracis-19044	194	33	data	datum	NOUN
bracis-19044	194	34	that	that	PRON
bracis-19044	194	35	was	be	AUX
bracis-19044	194	36	flagged	flag	VERB
bracis-19044	194	37	as	as	ADP
bracis-19044	194	38	cd	cd	PROPN
bracis-19044	194	39	.	.	PUNCT
bracis-19044	195	1	another	another	DET
bracis-19044	195	2	important	important	ADJ
bracis-19044	195	3	limitation	limitation	NOUN
bracis-19044	195	4	was	be	AUX
bracis-19044	195	5	that	that	SCONJ
bracis-19044	195	6	our	our	PRON
bracis-19044	195	7	real	real	ADJ
bracis-19044	195	8	datasets	dataset	NOUN
bracis-19044	195	9	did	do	AUX
bracis-19044	195	10	not	not	PART
bracis-19044	195	11	have	have	VERB
bracis-19044	195	12	a	a	DET
bracis-19044	195	13	ground	ground	NOUN
bracis-19044	195	14	truth	truth	NOUN
bracis-19044	195	15	for	for	ADP
bracis-19044	195	16	the	the	DET
bracis-19044	195	17	presence	presence	NOUN
bracis-19044	195	18	of	of	ADP
bracis-19044	195	19	cd	cd	PROPN
bracis-19044	195	20	,	,	PUNCT
bracis-19044	195	21	thus	thus	ADV
bracis-19044	195	22	we	we	PRON
bracis-19044	195	23	artificially	artificially	ADV
bracis-19044	195	24	added	add	VERB
bracis-19044	195	25	drift	drift	NOUN
bracis-19044	195	26	to	to	ADP
bracis-19044	195	27	the	the	DET
bracis-19044	195	28	data	datum	NOUN
bracis-19044	195	29	,	,	PUNCT
bracis-19044	195	30	but	but	CCONJ
bracis-19044	195	31	most	most	ADJ
bracis-19044	195	32	detectors	detector	NOUN
bracis-19044	195	33	were	be	AUX
bracis-19044	195	34	not	not	PART
bracis-19044	195	35	able	able	ADJ
bracis-19044	195	36	to	to	PART
bracis-19044	195	37	capture	capture	VERB
bracis-19044	195	38	that	that	PRON
bracis-19044	195	39	.	.	PUNCT
bracis-19044	196	1	future	future	ADJ
bracis-19044	196	2	works	work	NOUN
bracis-19044	196	3	include	include	VERB
bracis-19044	196	4	adding	add	VERB
bracis-19044	196	5	other	other	ADJ
bracis-19044	196	6	incremental	incremental	ADJ
bracis-19044	196	7	learners	learner	NOUN
bracis-19044	196	8	to	to	ADP
bracis-19044	196	9	the	the	DET
bracis-19044	196	10	framework	framework	NOUN
bracis-19044	196	11	,	,	PUNCT
bracis-19044	196	12	investigating	investigate	VERB
bracis-19044	196	13	additional	additional	ADJ
bracis-19044	196	14	real	real	ADJ
bracis-19044	196	15	datasets	dataset	NOUN
bracis-19044	196	16	and	and	CCONJ
bracis-19044	196	17	analyzing	analyze	VERB
bracis-19044	196	18	the	the	DET
bracis-19044	196	19	impact	impact	NOUN
bracis-19044	196	20	of	of	ADP
bracis-19044	196	21	different	different	ADJ
bracis-19044	196	22	rates	rate	NOUN
bracis-19044	196	23	of	of	ADP
bracis-19044	196	24	change	change	NOUN
bracis-19044	196	25	in	in	ADP
bracis-19044	196	26	data	datum	NOUN
bracis-19044	196	27	distribution	distribution	NOUN
bracis-19044	196	28	.	.	PUNCT
bracis-19044	197	1	notes	note	VERB
bracis-19044	197	2	1.https://github.com/marilia-lima/framework-detectors-concept-drift	1.https://github.com/marilia-lima/framework-detectors-concept-drift	NOUN
bracis-19044	197	3	.	.	PUNCT
bracis-19044	198	1	references	reference	NOUN
bracis-19044	198	2	de	de	PROPN
bracis-19044	198	3	almeida	almeida	PROPN
bracis-19044	198	4	,	,	PUNCT
bracis-19044	198	5	r.	r.	PROPN
bracis-19044	198	6	,	,	PUNCT
bracis-19044	198	7	goh	goh	PROPN
bracis-19044	198	8	,	,	PUNCT
bracis-19044	198	9	y.m	y.m	PROPN
bracis-19044	198	10	.	.	PROPN
bracis-19044	198	11	,	,	PUNCT
bracis-19044	198	12	monfared	monfare	VERB
bracis-19044	198	13	,	,	PUNCT
bracis-19044	198	14	r.	r.	PROPN
bracis-19044	198	15	,	,	PUNCT
bracis-19044	198	16	steiner	steiner	PROPN
bracis-19044	198	17	,	,	PUNCT
bracis-19044	198	18	m.t.a	m.t.a	NOUN
bracis-19044	198	19	.	.	PROPN
bracis-19044	198	20	,	,	PUNCT
bracis-19044	198	21	west	west	PROPN
bracis-19044	198	22	,	,	PUNCT
bracis-19044	198	23	a.	a.	NOUN
bracis-19044	198	24	:	:	PUNCT
bracis-19044	198	25	an	an	DET
bracis-19044	198	26	ensemble	ensemble	ADJ
bracis-19044	198	27	based	base	VERB
bracis-19044	198	28	on	on	ADP
bracis-19044	198	29	neural	neural	ADJ
bracis-19044	198	30	networks	network	NOUN
bracis-19044	198	31	with	with	ADP
bracis-19044	198	32	random	random	ADJ
bracis-19044	198	33	weights	weight	NOUN
bracis-19044	198	34	for	for	ADP
bracis-19044	198	35	online	online	ADJ
bracis-19044	198	36	data	datum	NOUN
bracis-19044	198	37	stream	stream	NOUN
bracis-19044	198	38	regression	regression	NOUN
bracis-19044	198	39	.	.	PUNCT
bracis-19044	199	1	soft	soft	ADJ
bracis-19044	199	2	comput	comput	NOUN
bracis-19044	199	3	.	.	PUNCT
bracis-19044	200	1	,	,	PUNCT
bracis-19044	200	2	1–21	1–21	PROPN
bracis-19044	200	3	(	(	PUNCT
bracis-19044	200	4	2019	2019	NUM
bracis-19044	200	5	)	)	PUNCT
bracis-19044	200	6	google	google	PROPN
bracis-19044	200	7	scholar	scholar	NOUN
bracis-19044	200	8	  	  	SPACE
bracis-19044	200	9	baena	baena	ADJ
bracis-19044	200	10	-	-	ADJ
bracis-19044	200	11	garcıa	garcıa	ADJ
bracis-19044	200	12	,	,	PUNCT
bracis-19044	200	13	m.	m.	NOUN
bracis-19044	200	14	,	,	PUNCT
bracis-19044	200	15	del	del	PROPN
bracis-19044	200	16	campo	campo	PROPN
bracis-19044	200	17	-	-	PUNCT
bracis-19044	200	18	ávila	ávila	PROPN
bracis-19044	200	19	,	,	PUNCT
bracis-19044	200	20	j.	j.	PROPN
bracis-19044	200	21	,	,	PUNCT
bracis-19044	200	22	fidalgo	fidalgo	PROPN
bracis-19044	200	23	,	,	PUNCT
bracis-19044	200	24	r.	r.	PROPN
bracis-19044	200	25	,	,	PUNCT
bracis-19044	200	26	bifet	bifet	PROPN
bracis-19044	200	27	,	,	PUNCT
bracis-19044	200	28	a.	a.	NOUN
bracis-19044	200	29	,	,	PUNCT
bracis-19044	200	30	gavalda	gavalda	PROPN
bracis-19044	200	31	,	,	PUNCT
bracis-19044	200	32	r.	r.	PROPN
bracis-19044	200	33	,	,	PUNCT
bracis-19044	200	34	morales	morales	PROPN
bracis-19044	200	35	-	-	PUNCT
bracis-19044	200	36	bueno	bueno	PROPN
bracis-19044	200	37	,	,	PUNCT
bracis-19044	200	38	r.	r.	PROPN
bracis-19044	200	39	:	:	PUNCT
bracis-19044	200	40	early	early	ADJ
bracis-19044	200	41	drift	drift	NOUN
bracis-19044	200	42	detection	detection	NOUN
bracis-19044	200	43	method	method	NOUN
bracis-19044	200	44	.	.	PUNCT
bracis-19044	201	1	in	in	ADP
bracis-19044	201	2	:	:	PUNCT
bracis-19044	201	3	fourth	fourth	ADJ
bracis-19044	201	4	international	international	ADJ
bracis-19044	201	5	workshop	workshop	NOUN
bracis-19044	201	6	on	on	ADP
bracis-19044	201	7	knowledge	knowledge	NOUN
bracis-19044	201	8	discovery	discovery	NOUN
bracis-19044	201	9	from	from	ADP
bracis-19044	201	10	data	datum	NOUN
bracis-19044	201	11	streams	stream	NOUN
bracis-19044	201	12	,	,	PUNCT
bracis-19044	201	13	vol	vol	NOUN
bracis-19044	201	14	.	.	PROPN
bracis-19044	201	15	6	6	NUM
bracis-19044	201	16	,	,	PUNCT
bracis-19044	201	17	pp	pp	ADJ
bracis-19044	201	18	.	.	PUNCT
bracis-19044	202	1	77–86	77–86	NUM
bracis-19044	202	2	(	(	PUNCT
bracis-19044	202	3	2006	2006	NUM
bracis-19044	202	4	)	)	PUNCT
bracis-19044	202	5	google	google	PROPN
bracis-19044	202	6	scholar	scholar	NOUN
bracis-19044	202	7	  	  	SPACE
bracis-19044	202	8	batra	batra	NOUN
bracis-19044	202	9	,	,	PUNCT
bracis-19044	202	10	m.	m.	NOUN
bracis-19044	202	11	,	,	PUNCT
bracis-19044	202	12	agrawal	agrawal	PROPN
bracis-19044	202	13	,	,	PUNCT
bracis-19044	202	14	r.	r.	PROPN
bracis-19044	202	15	:	:	PUNCT
bracis-19044	202	16	comparative	comparative	ADJ
bracis-19044	202	17	analysis	analysis	NOUN
bracis-19044	202	18	of	of	ADP
bracis-19044	202	19	decision	decision	NOUN
bracis-19044	202	20	tree	tree	NOUN
bracis-19044	202	21	algorithms	algorithm	NOUN
bracis-19044	202	22	.	.	PUNCT
bracis-19044	203	1	in	in	ADP
bracis-19044	203	2	:	:	PUNCT
bracis-19044	203	3	panigrahi	panigrahi	NOUN
bracis-19044	203	4	,	,	PUNCT
bracis-19044	203	5	b.k	b.k	PROPN
bracis-19044	203	6	.	.	PROPN
bracis-19044	203	7	,	,	PUNCT
bracis-19044	203	8	hoda	hoda	PROPN
bracis-19044	203	9	,	,	PUNCT
bracis-19044	203	10	m.n	m.n	PROPN
bracis-19044	203	11	.	.	PROPN
bracis-19044	203	12	,	,	PUNCT
bracis-19044	203	13	sharma	sharma	PROPN
bracis-19044	203	14	,	,	PUNCT
bracis-19044	203	15	v.	v.	PROPN
bracis-19044	203	16	,	,	PUNCT
bracis-19044	203	17	goel	goel	PROPN
bracis-19044	203	18	,	,	PUNCT
bracis-19044	203	19	s.	s.	PROPN
bracis-19044	203	20	(	(	PUNCT
bracis-19044	203	21	eds	eds	PROPN
bracis-19044	203	22	.	.	PUNCT
bracis-19044	203	23	)	)	PUNCT
bracis-19044	204	1	nature	nature	NOUN
bracis-19044	204	2	inspired	inspire	VERB
bracis-19044	204	3	computing	computing	NOUN
bracis-19044	204	4	.	.	PUNCT
bracis-19044	205	1	aisc	aisc	PROPN
bracis-19044	205	2	,	,	PUNCT
bracis-19044	205	3	vol	vol	NOUN
bracis-19044	205	4	.	.	PROPN
bracis-19044	205	5	652	652	NUM
bracis-19044	205	6	,	,	PUNCT
bracis-19044	205	7	pp	pp	ADV
bracis-19044	205	8	.	.	PUNCT
bracis-19044	206	1	31–36	31–36	NUM
bracis-19044	206	2	.	.	PUNCT
bracis-19044	206	3	springer	springer	PROPN
bracis-19044	206	4	,	,	PUNCT
bracis-19044	206	5	singapore	singapore	PROPN
bracis-19044	206	6	(	(	PUNCT
bracis-19044	206	7	2018	2018	NUM
bracis-19044	206	8	)	)	PUNCT
bracis-19044	206	9	.	.	PUNCT
bracis-19044	207	1	https://doi.org/10.1007/978-981-10-6747-1_4	https://doi.org/10.1007/978-981-10-6747-1_4	PROPN
bracis-19044	207	2	chapter	chapter	NOUN
bracis-19044	207	3	  	  	SPACE
bracis-19044	207	4	google	google	PROPN
bracis-19044	207	5	scholar	scholar	NOUN
bracis-19044	207	6	  	  	SPACE
bracis-19044	207	7	bifet	bifet	PROPN
bracis-19044	207	8	,	,	PUNCT
bracis-19044	207	9	a.	a.	NOUN
bracis-19044	207	10	,	,	PUNCT
bracis-19044	207	11	gavalda	gavalda	PROPN
bracis-19044	207	12	,	,	PUNCT
bracis-19044	207	13	r.	r.	PROPN
bracis-19044	207	14	:	:	PUNCT
bracis-19044	207	15	learning	learn	VERB
bracis-19044	207	16	from	from	ADP
bracis-19044	207	17	time	time	NOUN
bracis-19044	207	18	-	-	PUNCT
bracis-19044	207	19	changing	change	VERB
bracis-19044	207	20	data	datum	NOUN
bracis-19044	207	21	with	with	ADP
bracis-19044	207	22	adaptive	adaptive	ADJ
bracis-19044	207	23	windowing	windowing	NOUN
bracis-19044	207	24	.	.	PUNCT
bracis-19044	208	1	in	in	ADP
bracis-19044	208	2	:	:	PUNCT
bracis-19044	208	3	proceedings	proceeding	NOUN
bracis-19044	208	4	of	of	ADP
bracis-19044	208	5	the	the	DET
bracis-19044	208	6	2007	2007	NUM
bracis-19044	208	7	siam	siam	PROPN
bracis-19044	208	8	international	international	ADJ
bracis-19044	208	9	conference	conference	NOUN
bracis-19044	208	10	on	on	ADP
bracis-19044	208	11	data	datum	NOUN
bracis-19044	208	12	mining	mining	NOUN
bracis-19044	208	13	,	,	PUNCT
bracis-19044	208	14	pp	pp	ADJ
bracis-19044	208	15	.	.	PUNCT
bracis-19044	209	1	443–448	443–448	NUM
bracis-19044	209	2	.	.	PUNCT
bracis-19044	210	1	siam	siam	PROPN
bracis-19044	210	2	(	(	PUNCT
bracis-19044	210	3	2007	2007	NUM
bracis-19044	210	4	)	)	PUNCT
bracis-19044	210	5	google	google	PROPN
bracis-19044	210	6	scholar	scholar	NOUN
bracis-19044	210	7	  	  	SPACE
bracis-19044	210	8	breiman	breiman	NOUN
bracis-19044	210	9	,	,	PUNCT
bracis-19044	210	10	l.	l.	PROPN
bracis-19044	210	11	:	:	PUNCT
bracis-19044	210	12	bagging	bag	VERB
bracis-19044	210	13	predictors	predictor	NOUN
bracis-19044	210	14	.	.	PUNCT
bracis-19044	211	1	mach	mach	NOUN
bracis-19044	211	2	.	.	PUNCT
bracis-19044	212	1	learn	learn	VERB
bracis-19044	212	2	.	.	PUNCT
bracis-19044	213	1	24(2	24(2	NUM
bracis-19044	213	2	)	)	PUNCT
bracis-19044	213	3	,	,	PUNCT
bracis-19044	213	4	123–140	123–140	NUM
bracis-19044	213	5	(	(	PUNCT
bracis-19044	213	6	1996	1996	NUM
bracis-19044	213	7	)	)	PUNCT
bracis-19044	213	8	math	math	NOUN
bracis-19044	213	9	  	  	SPACE
bracis-19044	213	10	google	google	PROPN
bracis-19044	213	11	scholar	scholar	NOUN
bracis-19044	213	12	  	  	SPACE
bracis-19044	213	13	duffy	duffy	PROPN
bracis-19044	213	14	,	,	PUNCT
bracis-19044	213	15	n.	n.	NOUN
bracis-19044	213	16	,	,	PUNCT
bracis-19044	213	17	helmbold	helmbold	NOUN
bracis-19044	213	18	,	,	PUNCT
bracis-19044	213	19	d.	d.	PROPN
bracis-19044	213	20	:	:	PUNCT
bracis-19044	213	21	boosting	boost	VERB
bracis-19044	213	22	methods	method	NOUN
bracis-19044	213	23	for	for	ADP
bracis-19044	213	24	regression	regression	NOUN
bracis-19044	213	25	.	.	PUNCT
bracis-19044	214	1	mach	mach	NOUN
bracis-19044	214	2	.	.	PUNCT
bracis-19044	215	1	learn	learn	VERB
bracis-19044	215	2	.	.	PUNCT
bracis-19044	216	1	47(2	47(2	PROPN
bracis-19044	216	2	)	)	PUNCT
bracis-19044	216	3	,	,	PUNCT
bracis-19044	216	4	153–200	153–200	NUM
bracis-19044	216	5	(	(	PUNCT
bracis-19044	216	6	2002	2002	NUM
bracis-19044	216	7	)	)	PUNCT
bracis-19044	216	8	article	article	NOUN
bracis-19044	216	9	  	  	SPACE
bracis-19044	216	10	google	google	PROPN
bracis-19044	216	11	scholar	scholar	NOUN
bracis-19044	216	12	  	  	SPACE
bracis-19044	216	13	frias	frias	PROPN
bracis-19044	216	14	-	-	PUNCT
bracis-19044	216	15	blanco	blanco	PROPN
bracis-19044	216	16	,	,	PUNCT
bracis-19044	216	17	i.	i.	PROPN
bracis-19044	216	18	,	,	PUNCT
bracis-19044	216	19	del	del	PROPN
bracis-19044	216	20	campo	campo	PROPN
bracis-19044	216	21	-	-	PUNCT
bracis-19044	216	22	ávila	ávila	PROPN
bracis-19044	216	23	,	,	PUNCT
bracis-19044	216	24	j.	j.	PROPN
bracis-19044	216	25	,	,	PUNCT
bracis-19044	216	26	ramos	ramos	PROPN
bracis-19044	216	27	-	-	PUNCT
bracis-19044	216	28	jimenez	jimenez	PROPN
bracis-19044	216	29	,	,	PUNCT
bracis-19044	216	30	g.	g.	PROPN
bracis-19044	216	31	,	,	PUNCT
bracis-19044	216	32	morales	morales	PROPN
bracis-19044	216	33	-	-	PUNCT
bracis-19044	216	34	bueno	bueno	PROPN
bracis-19044	216	35	,	,	PUNCT
bracis-19044	216	36	r.	r.	PROPN
bracis-19044	216	37	,	,	PUNCT
bracis-19044	216	38	ortiz	ortiz	PROPN
bracis-19044	216	39	-	-	PUNCT
bracis-19044	216	40	diaz	diaz	PROPN
bracis-19044	216	41	,	,	PUNCT
bracis-19044	216	42	a.	a.	PROPN
bracis-19044	216	43	,	,	PUNCT
bracis-19044	216	44	caballero	caballero	PROPN
bracis-19044	216	45	-	-	PUNCT
bracis-19044	216	46	mota	mota	NOUN
bracis-19044	216	47	,	,	PUNCT
bracis-19044	216	48	y.	y.	NOUN
bracis-19044	216	49	:	:	PUNCT
bracis-19044	216	50	online	online	ADJ
bracis-19044	216	51	and	and	CCONJ
bracis-19044	216	52	non	non	ADJ
bracis-19044	216	53	-	-	ADJ
bracis-19044	216	54	parametric	parametric	ADJ
bracis-19044	216	55	drift	drift	NOUN
bracis-19044	216	56	detection	detection	NOUN
bracis-19044	216	57	methods	method	NOUN
bracis-19044	216	58	based	base	VERB
bracis-19044	216	59	on	on	ADP
bracis-19044	216	60	hoeffding	hoeffding	NOUN
bracis-19044	216	61	’s	’s	PART
bracis-19044	216	62	bounds	bound	NOUN
bracis-19044	216	63	.	.	PUNCT
bracis-19044	217	1	ieee	ieee	PROPN
bracis-19044	217	2	trans	trans	PROPN
bracis-19044	217	3	.	.	PROPN
bracis-19044	218	1	knowl	knowl	PROPN
bracis-19044	218	2	.	.	PUNCT
bracis-19044	219	1	data	data	PROPN
bracis-19044	219	2	eng	eng	PROPN
bracis-19044	219	3	.	.	PUNCT
bracis-19044	220	1	27(3	27(3	NUM
bracis-19044	220	2	)	)	PUNCT
bracis-19044	221	1	,	,	PUNCT
bracis-19044	221	2	810–823	810–823	NUM
bracis-19044	221	3	(	(	PUNCT
bracis-19044	221	4	2014	2014	NUM
bracis-19044	221	5	)	)	PUNCT
bracis-19044	221	6	article	article	NOUN
bracis-19044	221	7	  	  	SPACE
bracis-19044	221	8	google	google	PROPN
bracis-19044	221	9	scholar	scholar	NOUN
bracis-19044	221	10	  	  	SPACE
bracis-19044	221	11	gama	gama	NOUN
bracis-19044	221	12	,	,	PUNCT
bracis-19044	221	13	j.	j.	PROPN
bracis-19044	221	14	,	,	PUNCT
bracis-19044	221	15	medas	medas	PROPN
bracis-19044	221	16	,	,	PUNCT
bracis-19044	221	17	p.	p.	PROPN
bracis-19044	221	18	,	,	PUNCT
bracis-19044	221	19	castillo	castillo	PROPN
bracis-19044	221	20	,	,	PUNCT
bracis-19044	221	21	g.	g.	PROPN
bracis-19044	221	22	,	,	PUNCT
bracis-19044	221	23	rodrigues	rodrigues	PROPN
bracis-19044	221	24	,	,	PUNCT
bracis-19044	221	25	p.	p.	NOUN
bracis-19044	221	26	:	:	PUNCT
bracis-19044	222	1	learning	learn	VERB
bracis-19044	222	2	with	with	ADP
bracis-19044	222	3	drift	drift	NOUN
bracis-19044	222	4	detection	detection	NOUN
bracis-19044	222	5	.	.	PUNCT
bracis-19044	223	1	in	in	ADP
bracis-19044	223	2	:	:	PUNCT
bracis-19044	223	3	bazzan	bazzan	NOUN
bracis-19044	223	4	,	,	PUNCT
bracis-19044	223	5	a.l.c	a.l.c	NOUN
bracis-19044	223	6	.	.	PUNCT
bracis-19044	223	7	,	,	PUNCT
bracis-19044	223	8	labidi	labidi	PROPN
bracis-19044	223	9	,	,	PUNCT
bracis-19044	223	10	s.	s.	PROPN
bracis-19044	223	11	(	(	PUNCT
bracis-19044	223	12	eds	eds	PROPN
bracis-19044	223	13	.	.	PUNCT
bracis-19044	223	14	)	)	PUNCT
bracis-19044	224	1	sbia	sbia	NOUN
bracis-19044	224	2	2004	2004	NUM
bracis-19044	224	3	.	.	PUNCT
bracis-19044	225	1	lncs	lncs	PROPN
bracis-19044	225	2	(	(	PUNCT
bracis-19044	225	3	lnai	lnai	ADJ
bracis-19044	225	4	)	)	PUNCT
bracis-19044	225	5	,	,	PUNCT
bracis-19044	225	6	vol	vol	NOUN
bracis-19044	225	7	.	.	PROPN
bracis-19044	225	8	3171	3171	NUM
bracis-19044	225	9	,	,	PUNCT
bracis-19044	225	10	pp	pp	ADJ
bracis-19044	225	11	.	.	PUNCT
bracis-19044	226	1	286–295	286–295	NUM
bracis-19044	226	2	.	.	NOUN
bracis-19044	226	3	springer	springer	NOUN
bracis-19044	226	4	,	,	PUNCT
bracis-19044	226	5	heidelberg	heidelberg	PROPN
bracis-19044	226	6	(	(	PUNCT
bracis-19044	226	7	2004	2004	NUM
bracis-19044	226	8	)	)	PUNCT
bracis-19044	226	9	.	.	PUNCT
bracis-19044	227	1	https://doi.org/10.1007/978-3-540-28645-5_29	https://doi.org/10.1007/978-3-540-28645-5_29	PROPN
bracis-19044	227	2	chapter	chapter	NOUN
bracis-19044	227	3	  	  	SPACE
bracis-19044	227	4	google	google	PROPN
bracis-19044	227	5	scholar	scholar	NOUN
bracis-19044	227	6	  	  	SPACE
bracis-19044	227	7	gonçalves	gonçalves	PROPN
bracis-19044	227	8	jr	jr	PROPN
bracis-19044	227	9	.	.	PROPN
bracis-19044	227	10	,	,	PUNCT
bracis-19044	227	11	p.m.	p.m.	NOUN
bracis-19044	227	12	,	,	PUNCT
bracis-19044	227	13	de	de	PROPN
bracis-19044	227	14	carvalho	carvalho	PROPN
bracis-19044	227	15	santos	santos	PROPN
bracis-19044	227	16	,	,	PUNCT
bracis-19044	227	17	s.g	s.g	PROPN
bracis-19044	227	18	.	.	PROPN
bracis-19044	227	19	,	,	PUNCT
bracis-19044	227	20	barros	barros	PROPN
bracis-19044	227	21	,	,	PUNCT
bracis-19044	227	22	r.s	r.s	PROPN
bracis-19044	227	23	.	.	PROPN
bracis-19044	227	24	,	,	PUNCT
bracis-19044	227	25	vieira	vieira	PROPN
bracis-19044	227	26	,	,	PUNCT
bracis-19044	227	27	d.c	d.c	PROPN
bracis-19044	227	28	.	.	PUNCT
bracis-19044	227	29	:	:	PUNCT
bracis-19044	228	1	a	a	DET
bracis-19044	228	2	comparative	comparative	ADJ
bracis-19044	228	3	study	study	NOUN
bracis-19044	228	4	on	on	ADP
bracis-19044	228	5	concept	concept	NOUN
bracis-19044	228	6	drift	drift	NOUN
bracis-19044	228	7	detectors	detector	NOUN
bracis-19044	228	8	.	.	PUNCT
bracis-19044	229	1	expert	expert	NOUN
bracis-19044	229	2	syst	syst	PROPN
bracis-19044	229	3	.	.	PUNCT
bracis-19044	230	1	appl	appl	PROPN
bracis-19044	230	2	.	.	PUNCT
bracis-19044	231	1	41(18	41(18	NUM
bracis-19044	231	2	)	)	PUNCT
bracis-19044	231	3	,	,	PUNCT
bracis-19044	231	4	8144–8156	8144–8156	NUM
bracis-19044	231	5	(	(	PUNCT
bracis-19044	231	6	2014	2014	NUM
bracis-19044	231	7	)	)	PUNCT
bracis-19044	231	8	google	google	NOUN
bracis-19044	231	9	scholar	scholar	NOUN
bracis-19044	231	10	  	  	SPACE
bracis-19044	231	11	mastelini	mastelini	ADJ
bracis-19044	231	12	,	,	PUNCT
bracis-19044	231	13	s.m	s.m	PROPN
bracis-19044	231	14	.	.	PROPN
bracis-19044	231	15	,	,	PUNCT
bracis-19044	231	16	de	de	PROPN
bracis-19044	231	17	leon	leon	PROPN
bracis-19044	231	18	ferreira	ferreira	PROPN
bracis-19044	231	19	de	de	PROPN
bracis-19044	231	20	carvalho	carvalho	PROPN
bracis-19044	231	21	,	,	PUNCT
bracis-19044	231	22	a.c.p	a.c.p	PROPN
bracis-19044	231	23	.	.	PUNCT
bracis-19044	231	24	:	:	PUNCT
bracis-19044	232	1	2cs	2cs	NOUN
bracis-19044	232	2	:	:	PUNCT
bracis-19044	232	3	correlation	correlation	NOUN
bracis-19044	232	4	-	-	PUNCT
bracis-19044	232	5	guided	guide	VERB
bracis-19044	232	6	split	split	ADJ
bracis-19044	232	7	candidate	candidate	NOUN
bracis-19044	232	8	selection	selection	NOUN
bracis-19044	232	9	in	in	ADP
bracis-19044	232	10	hoeffding	hoeffde	VERB
bracis-19044	232	11	tree	tree	NOUN
bracis-19044	232	12	regressors	regressor	NOUN
bracis-19044	232	13	.	.	PUNCT
bracis-19044	233	1	in	in	ADP
bracis-19044	233	2	:	:	PUNCT
bracis-19044	233	3	cerri	cerri	PROPN
bracis-19044	233	4	,	,	PUNCT
bracis-19044	233	5	r.	r.	PROPN
bracis-19044	233	6	,	,	PUNCT
bracis-19044	233	7	prati	prati	PROPN
bracis-19044	233	8	,	,	PUNCT
bracis-19044	233	9	r.c	r.c	PROPN
bracis-19044	233	10	.	.	PROPN
bracis-19044	233	11	(	(	PUNCT
bracis-19044	233	12	eds	ed	NOUN
bracis-19044	233	13	.	.	PUNCT
bracis-19044	233	14	)	)	PUNCT
bracis-19044	233	15	bracis	bracis	PROPN
bracis-19044	233	16	2020	2020	NUM
bracis-19044	233	17	.	.	PUNCT
bracis-19044	234	1	lncs	lncs	PROPN
bracis-19044	234	2	(	(	PUNCT
bracis-19044	234	3	lnai	lnai	ADJ
bracis-19044	234	4	)	)	PUNCT
bracis-19044	234	5	,	,	PUNCT
bracis-19044	234	6	vol	vol	NOUN
bracis-19044	234	7	.	.	PROPN
bracis-19044	234	8	12320	12320	NUM
bracis-19044	234	9	,	,	PUNCT
bracis-19044	234	10	pp	pp	ADP
bracis-19044	234	11	.	.	PUNCT
bracis-19044	235	1	337–351	337–351	NUM
bracis-19044	235	2	.	.	PUNCT
bracis-19044	235	3	springer	springer	NOUN
bracis-19044	235	4	,	,	PUNCT
bracis-19044	235	5	cham	cham	PROPN
bracis-19044	235	6	(	(	PUNCT
bracis-19044	235	7	2020	2020	NUM
bracis-19044	235	8	)	)	PUNCT
bracis-19044	235	9	.	.	PUNCT
bracis-19044	236	1	https://doi.org/10.1007/978-3-030-61380-8_23	https://doi.org/10.1007/978-3-030-61380-8_23	DET
bracis-19044	236	2	chapter	chapter	NOUN
bracis-19044	236	3	  	  	SPACE
bracis-19044	236	4	google	google	PROPN
bracis-19044	236	5	scholar	scholar	NOUN
bracis-19044	236	6	  	  	SPACE
bracis-19044	236	7	montiel	montiel	PROPN
bracis-19044	236	8	,	,	PUNCT
bracis-19044	236	9	j.	j.	PROPN
bracis-19044	236	10	,	,	PUNCT
bracis-19044	236	11	read	read	VERB
bracis-19044	236	12	,	,	PUNCT
bracis-19044	236	13	j.	j.	PROPN
bracis-19044	236	14	,	,	PUNCT
bracis-19044	236	15	bifet	bifet	PROPN
bracis-19044	236	16	,	,	PUNCT
bracis-19044	236	17	a.	a.	NOUN
bracis-19044	236	18	,	,	PUNCT
bracis-19044	236	19	abdessalem	abdessalem	NOUN
bracis-19044	236	20	,	,	PUNCT
bracis-19044	236	21	t.	t.	PROPN
bracis-19044	236	22	:	:	PUNCT
bracis-19044	236	23	scikit	scikit	NOUN
bracis-19044	236	24	-	-	PUNCT
bracis-19044	236	25	multiflow	multiflow	NOUN
bracis-19044	236	26	:	:	PUNCT
bracis-19044	236	27	a	a	DET
bracis-19044	236	28	multi	multi	ADJ
bracis-19044	236	29	-	-	ADJ
bracis-19044	236	30	output	output	ADJ
bracis-19044	236	31	streaming	streaming	NOUN
bracis-19044	236	32	framework	framework	NOUN
bracis-19044	236	33	.	.	PUNCT
bracis-19044	237	1	j.	j.	PROPN
bracis-19044	237	2	mach	mach	PROPN
bracis-19044	237	3	.	.	PUNCT
bracis-19044	238	1	learn	learn	VERB
bracis-19044	238	2	.	.	PUNCT
bracis-19044	239	1	res	re	NOUN
bracis-19044	239	2	.	.	PROPN
bracis-19044	240	1	19(72	19(72	NUM
bracis-19044	240	2	)	)	PUNCT
bracis-19044	240	3	,	,	PUNCT
bracis-19044	240	4	1–5	1–5	X
bracis-19044	240	5	(	(	PUNCT
bracis-19044	240	6	2018	2018	NUM
bracis-19044	240	7	)	)	PUNCT
bracis-19044	240	8	.	.	PUNCT
bracis-19044	241	1	http://jmlr.org/papers/v19/18-251.html	http://jmlr.org/papers/v19/18-251.html	PROPN
bracis-19044	241	2	oikarinen	oikarinen	PROPN
bracis-19044	241	3	,	,	PUNCT
bracis-19044	241	4	e.	e.	PROPN
bracis-19044	241	5	,	,	PUNCT
bracis-19044	241	6	tiittanen	tiittanen	PROPN
bracis-19044	241	7	,	,	PUNCT
bracis-19044	241	8	h.	h.	PROPN
bracis-19044	241	9	,	,	PUNCT
bracis-19044	241	10	henelius	henelius	PROPN
bracis-19044	241	11	,	,	PUNCT
bracis-19044	241	12	a.	a.	PROPN
bracis-19044	241	13	,	,	PUNCT
bracis-19044	241	14	puolamäki	puolamäki	NOUN
bracis-19044	241	15	,	,	PUNCT
bracis-19044	241	16	k.	k.	PROPN
bracis-19044	241	17	:	:	PUNCT
bracis-19044	241	18	detecting	detect	VERB
bracis-19044	241	19	virtual	virtual	ADJ
bracis-19044	241	20	concept	concept	NOUN
bracis-19044	241	21	drift	drift	NOUN
bracis-19044	241	22	of	of	ADP
bracis-19044	241	23	regressors	regressor	NOUN
bracis-19044	241	24	without	without	ADP
bracis-19044	241	25	ground	ground	NOUN
bracis-19044	241	26	truth	truth	NOUN
bracis-19044	241	27	values	value	NOUN
bracis-19044	241	28	.	.	PUNCT
bracis-19044	242	1	data	data	PROPN
bracis-19044	242	2	min	min	PROPN
bracis-19044	242	3	.	.	PROPN
bracis-19044	242	4	knowl	knowl	PROPN
bracis-19044	242	5	.	.	PUNCT
bracis-19044	243	1	discov	discov	NOUN
bracis-19044	243	2	.	.	PUNCT
bracis-19044	244	1	35(3	35(3	NUM
bracis-19044	244	2	)	)	PUNCT
bracis-19044	244	3	,	,	PUNCT
bracis-19044	244	4	726–747	726–747	NUM
bracis-19044	244	5	(	(	PUNCT
bracis-19044	244	6	2021	2021	NUM
bracis-19044	244	7	)	)	PUNCT
bracis-19044	244	8	.	.	PUNCT
bracis-19044	245	1	https://doi.org/10.1007/s10618-021-00739-7	https://doi.org/10.1007/s10618-021-00739-7	NUM
bracis-19044	245	2	article	article	NOUN
bracis-19044	245	3	  	  	SPACE
bracis-19044	245	4	mathscinet	mathscinet	NOUN
bracis-19044	245	5	  	  	SPACE
bracis-19044	245	6	math	math	NOUN
bracis-19044	245	7	  	  	SPACE
bracis-19044	245	8	google	google	PROPN
bracis-19044	245	9	scholar	scholar	NOUN
bracis-19044	245	10	  	  	SPACE
bracis-19044	245	11	osojnik	osojnik	NOUN
bracis-19044	245	12	,	,	PUNCT
bracis-19044	245	13	a.	a.	NOUN
bracis-19044	245	14	,	,	PUNCT
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bracis-19044	245	16	,	,	PUNCT
bracis-19044	245	17	p.	p.	PROPN
bracis-19044	245	18	,	,	PUNCT
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bracis-19044	245	20	,	,	PUNCT
bracis-19044	245	21	s.	s.	PROPN
bracis-19044	245	22	:	:	PUNCT
bracis-19044	245	23	tree	tree	NOUN
bracis-19044	245	24	-	-	PUNCT
bracis-19044	245	25	based	base	VERB
bracis-19044	245	26	methods	method	NOUN
bracis-19044	245	27	for	for	ADP
bracis-19044	245	28	online	online	ADJ
bracis-19044	245	29	multi	multi	ADJ
bracis-19044	245	30	-	-	ADJ
bracis-19044	245	31	target	target	ADJ
bracis-19044	245	32	regression	regression	NOUN
bracis-19044	245	33	.	.	PUNCT
bracis-19044	246	1	j.	j.	PROPN
bracis-19044	246	2	intell	intell	PROPN
bracis-19044	246	3	.	.	PUNCT
bracis-19044	247	1	inf	inf	PROPN
bracis-19044	247	2	.	.	PUNCT
bracis-19044	247	3	syst	syst	PROPN
bracis-19044	247	4	.	.	PUNCT
bracis-19044	248	1	50(2	50(2	NUM
bracis-19044	248	2	)	)	PUNCT
bracis-19044	248	3	,	,	PUNCT
bracis-19044	249	1	315–339	315–339	NUM
bracis-19044	249	2	(	(	PUNCT
bracis-19044	249	3	2017	2017	NUM
bracis-19044	249	4	)	)	PUNCT
bracis-19044	249	5	.	.	PUNCT
bracis-19044	250	1	https://doi.org/10.1007/s10844-017-0462-7	https://doi.org/10.1007/s10844-017-0462-7	PROPN
bracis-19044	250	2	article	article	NOUN
bracis-19044	250	3	  	  	SPACE
bracis-19044	250	4	math	math	NOUN
bracis-19044	250	5	  	  	SPACE
bracis-19044	250	6	google	google	PROPN
bracis-19044	250	7	scholar	scholar	NOUN
bracis-19044	250	8	  	  	SPACE
bracis-19044	250	9	page	page	NOUN
bracis-19044	250	10	,	,	PUNCT
bracis-19044	250	11	e.s	e.s	PROPN
bracis-19044	250	12	.	.	PROPN
bracis-19044	250	13	:	:	PUNCT
bracis-19044	250	14	continuous	continuous	ADJ
bracis-19044	250	15	inspection	inspection	NOUN
bracis-19044	250	16	schemes	scheme	NOUN
bracis-19044	250	17	.	.	PUNCT
bracis-19044	251	1	biometrika	biometrika	NOUN
bracis-19044	251	2	41(1/2	41(1/2	PROPN
bracis-19044	251	3	)	)	PUNCT
bracis-19044	251	4	,	,	PUNCT
bracis-19044	251	5	100–115	100–115	NUM
bracis-19044	251	6	(	(	PUNCT
bracis-19044	251	7	1954	1954	NUM
bracis-19044	251	8	)	)	PUNCT
bracis-19044	251	9	article	article	NOUN
bracis-19044	251	10	  	  	SPACE
bracis-19044	251	11	mathscinet	mathscinet	NOUN
bracis-19044	251	12	  	  	SPACE
bracis-19044	251	13	google	google	PROPN
bracis-19044	251	14	scholar	scholar	NOUN
bracis-19044	251	15	  	  	SPACE
bracis-19044	251	16	pedregosa	pedregosa	PROPN
bracis-19044	251	17	,	,	PUNCT
bracis-19044	251	18	f.	f.	PROPN
bracis-19044	251	19	,	,	PUNCT
bracis-19044	251	20	et	et	PROPN
bracis-19044	251	21	al	al	PROPN
bracis-19044	251	22	.	.	PROPN
bracis-19044	251	23	:	:	PUNCT
bracis-19044	252	1	scikit	scikit	NOUN
bracis-19044	252	2	-	-	PUNCT
bracis-19044	252	3	learn	learn	VERB
bracis-19044	252	4	:	:	PUNCT
bracis-19044	252	5	machine	machine	NOUN
bracis-19044	252	6	learning	learning	NOUN
bracis-19044	252	7	in	in	ADP
bracis-19044	252	8	python	python	PROPN
bracis-19044	252	9	.	.	PUNCT
bracis-19044	253	1	j.	j.	PROPN
bracis-19044	253	2	mach	mach	PROPN
bracis-19044	253	3	.	.	PUNCT
bracis-19044	254	1	learn	learn	VERB
bracis-19044	254	2	.	.	PUNCT
bracis-19044	255	1	res	re	NOUN
bracis-19044	255	2	.	.	PROPN
bracis-19044	256	1	12	12	NUM
bracis-19044	256	2	,	,	PUNCT
bracis-19044	256	3	2825–2830	2825–2830	NUM
bracis-19044	256	4	(	(	PUNCT
bracis-19044	256	5	2011	2011	NUM
bracis-19044	256	6	)	)	PUNCT
bracis-19044	256	7	mathscinet	mathscinet	NOUN
bracis-19044	256	8	  	  	SPACE
bracis-19044	256	9	math	math	NOUN
bracis-19044	256	10	  	  	SPACE
bracis-19044	256	11	google	google	PROPN
bracis-19044	256	12	scholar	scholar	NOUN
bracis-19044	256	13	  	  	SPACE
bracis-19044	256	14	raab	raab	NOUN
bracis-19044	256	15	,	,	PUNCT
bracis-19044	256	16	c.	c.	NOUN
bracis-19044	256	17	,	,	PUNCT
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bracis-19044	256	19	,	,	PUNCT
bracis-19044	256	20	m.	m.	NOUN
bracis-19044	256	21	,	,	PUNCT
bracis-19044	256	22	schleif	schleif	NOUN
bracis-19044	256	23	,	,	PUNCT
bracis-19044	256	24	f.m	f.m	PROPN
bracis-19044	256	25	.	.	PROPN
bracis-19044	256	26	:	:	PUNCT
bracis-19044	256	27	reactive	reactive	ADJ
bracis-19044	256	28	soft	soft	ADJ
bracis-19044	256	29	prototype	prototype	NOUN
bracis-19044	256	30	computing	computing	NOUN
bracis-19044	256	31	for	for	ADP
bracis-19044	256	32	concept	concept	NOUN
bracis-19044	256	33	drift	drift	NOUN
bracis-19044	256	34	streams	stream	NOUN
bracis-19044	256	35	.	.	PUNCT
bracis-19044	257	1	neurocomputing	neurocompute	VERB
bracis-19044	257	2	416	416	NUM
bracis-19044	257	3	,	,	PUNCT
bracis-19044	257	4	340–351	340–351	NUM
bracis-19044	257	5	(	(	PUNCT
bracis-19044	257	6	2020	2020	NUM
bracis-19044	257	7	)	)	PUNCT
bracis-19044	257	8	article	article	NOUN
bracis-19044	257	9	  	  	SPACE
bracis-19044	257	10	google	google	PROPN
bracis-19044	257	11	scholar	scholar	NOUN
bracis-19044	257	12	  	  	SPACE
bracis-19044	257	13	dos	do	NOUN
bracis-19044	257	14	santos	santo	NOUN
bracis-19044	257	15	,	,	PUNCT
bracis-19044	257	16	v.m.g	v.m.g	ADJ
bracis-19044	257	17	.	.	PUNCT
bracis-19044	257	18	,	,	PUNCT
bracis-19044	257	19	de	de	PROPN
bracis-19044	257	20	mello	mello	PROPN
bracis-19044	257	21	,	,	PUNCT
bracis-19044	257	22	r.f	r.f	PROPN
bracis-19044	257	23	.	.	PROPN
bracis-19044	257	24	,	,	PUNCT
bracis-19044	257	25	nogueira	nogueira	PROPN
bracis-19044	257	26	,	,	PUNCT
bracis-19044	257	27	t.	t.	PROPN
bracis-19044	257	28	,	,	PUNCT
bracis-19044	257	29	rios	rios	PROPN
bracis-19044	257	30	,	,	PUNCT
bracis-19044	257	31	r.a	r.a	PROPN
bracis-19044	257	32	.	.	PROPN
bracis-19044	257	33	:	:	PUNCT
bracis-19044	257	34	quantifying	quantify	VERB
bracis-19044	257	35	temporal	temporal	ADJ
bracis-19044	257	36	novelty	novelty	NOUN
bracis-19044	257	37	in	in	ADP
bracis-19044	257	38	social	social	ADJ
bracis-19044	257	39	networks	network	NOUN
bracis-19044	257	40	using	use	VERB
bracis-19044	257	41	time	time	NOUN
bracis-19044	257	42	-	-	PUNCT
bracis-19044	257	43	varying	vary	VERB
bracis-19044	257	44	graphs	graph	NOUN
bracis-19044	257	45	and	and	CCONJ
bracis-19044	257	46	concept	concept	NOUN
bracis-19044	257	47	drift	drift	NOUN
bracis-19044	257	48	detection	detection	NOUN
bracis-19044	257	49	.	.	PUNCT
bracis-19044	258	1	in	in	ADP
bracis-19044	258	2	:	:	PUNCT
bracis-19044	258	3	cerri	cerri	PROPN
bracis-19044	258	4	,	,	PUNCT
bracis-19044	258	5	r.	r.	PROPN
bracis-19044	258	6	,	,	PUNCT
bracis-19044	258	7	prati	prati	PROPN
bracis-19044	258	8	,	,	PUNCT
bracis-19044	258	9	r.c	r.c	PROPN
bracis-19044	258	10	.	.	PROPN
bracis-19044	258	11	(	(	PUNCT
bracis-19044	258	12	eds	ed	NOUN
bracis-19044	258	13	.	.	PUNCT
bracis-19044	258	14	)	)	PUNCT
bracis-19044	258	15	bracis	bracis	PROPN
bracis-19044	258	16	2020	2020	NUM
bracis-19044	258	17	.	.	PUNCT
bracis-19044	259	1	lncs	lncs	PROPN
bracis-19044	259	2	(	(	PUNCT
bracis-19044	259	3	lnai	lnai	ADJ
bracis-19044	259	4	)	)	PUNCT
bracis-19044	259	5	,	,	PUNCT
bracis-19044	259	6	vol	vol	NOUN
bracis-19044	259	7	.	.	PROPN
bracis-19044	259	8	12320	12320	NUM
bracis-19044	259	9	,	,	PUNCT
bracis-19044	259	10	pp	pp	ADV
bracis-19044	259	11	.	.	PUNCT
bracis-19044	260	1	650–664	650–664	NUM
bracis-19044	260	2	.	.	X
bracis-19044	260	3	springer	springer	NOUN
bracis-19044	260	4	,	,	PUNCT
bracis-19044	260	5	cham	cham	PROPN
bracis-19044	260	6	(	(	PUNCT
bracis-19044	260	7	2020	2020	NUM
bracis-19044	260	8	)	)	PUNCT
bracis-19044	260	9	.	.	PUNCT
bracis-19044	261	1	https://doi.org/10.1007/978-3-030-61380-8_44	https://doi.org/10.1007/978-3-030-61380-8_44	PROPN
bracis-19044	261	2	chapter	chapter	NOUN
bracis-19044	261	3	  	  	SPACE
bracis-19044	261	4	google	google	PROPN
bracis-19044	261	5	scholar	scholar	NOUN
bracis-19044	261	6	  	  	SPACE
bracis-19044	261	7	soares	soares	PROPN
bracis-19044	261	8	,	,	PUNCT
bracis-19044	261	9	s.g	s.g	PROPN
bracis-19044	261	10	.	.	PROPN
bracis-19044	261	11	,	,	PUNCT
bracis-19044	261	12	araújo	araújo	PROPN
bracis-19044	261	13	,	,	PUNCT
bracis-19044	261	14	r.	r.	PROPN
bracis-19044	261	15	:	:	PUNCT
bracis-19044	261	16	an	an	DET
bracis-19044	261	17	on	on	ADP
bracis-19044	261	18	-	-	PUNCT
bracis-19044	261	19	line	line	NOUN
bracis-19044	261	20	weighted	weight	VERB
bracis-19044	261	21	ensemble	ensemble	ADJ
bracis-19044	261	22	of	of	ADP
bracis-19044	261	23	regressor	regressor	NOUN
bracis-19044	261	24	models	model	NOUN
bracis-19044	261	25	to	to	PART
bracis-19044	261	26	handle	handle	VERB
bracis-19044	261	27	concept	concept	NOUN
bracis-19044	261	28	drifts	drift	NOUN
bracis-19044	261	29	.	.	PUNCT
bracis-19044	262	1	eng	eng	PROPN
bracis-19044	262	2	.	.	PROPN
bracis-19044	262	3	appl	appl	PROPN
bracis-19044	262	4	.	.	PUNCT
bracis-19044	263	1	artif	artif	PROPN
bracis-19044	263	2	.	.	PUNCT
bracis-19044	264	1	intell	intell	PROPN
bracis-19044	264	2	.	.	PUNCT
bracis-19044	265	1	37	37	NUM
bracis-19044	265	2	,	,	PUNCT
bracis-19044	265	3	392–406	392–406	NUM
bracis-19044	265	4	(	(	PUNCT
bracis-19044	265	5	2015	2015	NUM
bracis-19044	265	6	)	)	PUNCT
bracis-19044	265	7	article	article	NOUN
bracis-19044	265	8	  	  	SPACE
bracis-19044	265	9	google	google	PROPN
bracis-19044	265	10	scholar	scholar	NOUN
bracis-19044	265	11	  	  	SPACE
bracis-19044	265	12	valença	valença	NOUN
bracis-19044	265	13	,	,	PUNCT
bracis-19044	265	14	m.	m.	NOUN
bracis-19044	265	15	:	:	PUNCT
bracis-19044	265	16	fundamentos	fundamentos	PROPN
bracis-19044	265	17	das	das	PROPN
bracis-19044	265	18	redes	redes	PROPN
bracis-19044	265	19	neurais	neurais	PROPN
bracis-19044	265	20	:	:	PUNCT
bracis-19044	265	21	exemplos	exemplos	PROPN
bracis-19044	265	22	em	em	PROPN
bracis-19044	265	23	java	java	PROPN
bracis-19044	265	24	.	.	PUNCT
bracis-19044	266	1	olinda	olinda	NOUN
bracis-19044	266	2	,	,	PUNCT
bracis-19044	266	3	pernambuco	pernambuco	PROPN
bracis-19044	266	4	:	:	PUNCT
bracis-19044	266	5	editora	editora	PROPN
bracis-19044	266	6	livro	livro	NOUN
bracis-19044	266	7	rápido	rápido	NOUN
bracis-19044	266	8	(	(	PUNCT
bracis-19044	266	9	2010	2010	NUM
bracis-19044	266	10	)	)	PUNCT
bracis-19044	266	11	google	google	PROPN
bracis-19044	266	12	scholar	scholar	NOUN
bracis-19044	266	13	  	  	SPACE
bracis-19044	266	14	xu	xu	PROPN
bracis-19044	266	15	,	,	PUNCT
bracis-19044	266	16	h.	h.	PROPN
bracis-19044	266	17	,	,	PUNCT
bracis-19044	266	18	caramanis	caramanis	PROPN
bracis-19044	266	19	,	,	PUNCT
bracis-19044	266	20	c.	c.	PROPN
bracis-19044	266	21	,	,	PUNCT
bracis-19044	266	22	mannor	mannor	NOUN
bracis-19044	266	23	,	,	PUNCT
bracis-19044	266	24	s.	s.	PROPN
bracis-19044	266	25	:	:	PUNCT
bracis-19044	266	26	robust	robust	ADJ
bracis-19044	266	27	regression	regression	NOUN
bracis-19044	266	28	and	and	CCONJ
bracis-19044	266	29	lasso	lasso	NOUN
bracis-19044	266	30	.	.	PUNCT
bracis-19044	267	1	ieee	ieee	PROPN
bracis-19044	267	2	trans	trans	PROPN
bracis-19044	267	3	.	.	PROPN
bracis-19044	267	4	inf	inf	PROPN
bracis-19044	267	5	.	.	PUNCT
bracis-19044	267	6	theory	theory	PROPN
bracis-19044	267	7	56(7	56(7	NUM
bracis-19044	267	8	)	)	PUNCT
bracis-19044	267	9	,	,	PUNCT
bracis-19044	267	10	3561–3574	3561–3574	NUM
bracis-19044	267	11	(	(	PUNCT
bracis-19044	267	12	2010	2010	NUM
bracis-19044	267	13	)	)	PUNCT
bracis-19044	267	14	article	article	NOUN
bracis-19044	267	15	  	  	SPACE
bracis-19044	267	16	mathscinet	mathscinet	NOUN
bracis-19044	267	17	  	  	SPACE
bracis-19044	267	18	google	google	PROPN
bracis-19044	267	19	scholar	scholar	NOUN
bracis-19044	267	20	  	  	SPACE
bracis-19044	267	21	download	download	NOUN
bracis-19044	267	22	references	reference	NOUN
bracis-19044	267	23	author	author	NOUN
bracis-19044	267	24	information	information	NOUN
bracis-19044	267	25	authors	author	NOUN
bracis-19044	267	26	and	and	CCONJ
bracis-19044	267	27	affiliations	affiliation	NOUN
bracis-19044	267	28	university	university	PROPN
bracis-19044	267	29	of	of	ADP
bracis-19044	267	30	pernambuco	pernambuco	PROPN
bracis-19044	267	31	,	,	PUNCT
bracis-19044	267	32	pernambuco	pernambuco	PROPN
bracis-19044	267	33	,	,	PUNCT
bracis-19044	267	34	brazil	brazil	PROPN
bracis-19044	267	35	marília	marília	PROPN
bracis-19044	267	36	lima	lima	PROPN
bracis-19044	267	37	 	 	SPACE
bracis-19044	267	38	&	&	CCONJ
bracis-19044	267	39	 	 	SPACE
bracis-19044	267	40	roberta	roberta	PROPN
bracis-19044	267	41	andrade	andrade	PROPN
bracis-19044	267	42	de	de	PROPN
bracis-19044	267	43	a.	a.	PROPN
bracis-19044	267	44	fagundes	fagundes	PROPN
bracis-19044	267	45	federal	federal	PROPN
bracis-19044	267	46	university	university	PROPN
bracis-19044	267	47	of	of	ADP
bracis-19044	267	48	paraiba	paraiba	NOUN
bracis-19044	267	49	,	,	PUNCT
bracis-19044	267	50	paraiba	paraiba	NOUN
bracis-19044	267	51	,	,	PUNCT
bracis-19044	267	52	brazil	brazil	PROPN
bracis-19044	267	53	telmo	telmo	PROPN
bracis-19044	267	54	silva	silva	PROPN
bracis-19044	267	55	filho	filho	PROPN
bracis-19044	267	56	authors	author	NOUN
bracis-19044	267	57	marília	marília	PROPN
bracis-19044	267	58	limaview	limaview	ADJ
bracis-19044	267	59	author	author	NOUN
bracis-19044	267	60	publications	publication	NOUN
bracis-19044	267	61	search	search	NOUN
bracis-19044	267	62	author	author	NOUN
bracis-19044	267	63	on	on	ADP
bracis-19044	267	64	:	:	PUNCT
bracis-19044	267	65	pubmed	pubmed	PROPN
bracis-19044	267	66	 	 	SPACE
bracis-19044	267	67	google	google	PROPN
bracis-19044	267	68	scholar	scholar	NOUN
bracis-19044	267	69	telmo	telmo	PROPN
bracis-19044	267	70	silva	silva	PROPN
bracis-19044	267	71	filhoview	filhoview	PROPN
bracis-19044	267	72	author	author	NOUN
bracis-19044	267	73	publications	publication	NOUN
bracis-19044	267	74	search	search	NOUN
bracis-19044	267	75	author	author	NOUN
bracis-19044	267	76	on	on	ADP
bracis-19044	267	77	:	:	PUNCT
bracis-19044	267	78	pubmed	pubmed	PROPN
bracis-19044	267	79	 	 	SPACE
bracis-19044	267	80	google	google	PROPN
bracis-19044	267	81	scholar	scholar	PROPN
bracis-19044	267	82	roberta	roberta	PROPN
bracis-19044	267	83	andrade	andrade	PROPN
bracis-19044	267	84	de	de	PROPN
bracis-19044	267	85	a.	a.	PROPN
bracis-19044	267	86	fagundesview	fagundesview	NOUN
bracis-19044	267	87	author	author	NOUN
bracis-19044	267	88	publications	publication	NOUN
bracis-19044	267	89	search	search	NOUN
bracis-19044	267	90	author	author	NOUN
bracis-19044	267	91	on	on	ADP
bracis-19044	267	92	:	:	PUNCT
bracis-19044	267	93	pubmed	pubmed	PROPN
bracis-19044	267	94	 	 	SPACE
bracis-19044	267	95	google	google	PROPN
bracis-19044	267	96	scholar	scholar	NOUN
bracis-19044	267	97	corresponding	correspond	VERB
bracis-19044	267	98	author	author	NOUN
bracis-19044	267	99	correspondence	correspondence	NOUN
bracis-19044	267	100	to	to	ADP
bracis-19044	267	101	marília	marília	PROPN
bracis-19044	267	102	lima	lima	PROPN
bracis-19044	267	103	.	.	PUNCT
bracis-19044	268	1	editor	editor	NOUN
bracis-19044	268	2	information	information	NOUN
bracis-19044	268	3	editors	editor	NOUN
bracis-19044	268	4	and	and	CCONJ
bracis-19044	268	5	affiliations	affiliation	NOUN
bracis-19044	268	6	universidade	universidade	PROPN
bracis-19044	268	7	federal	federal	PROPN
bracis-19044	268	8	de	de	X
bracis-19044	268	9	sergipe	sergipe	PROPN
bracis-19044	268	10	,	,	PUNCT
bracis-19044	268	11	são	são	NOUN
bracis-19044	268	12	cristóvão	cristóvão	PROPN
bracis-19044	268	13	,	,	PUNCT
bracis-19044	268	14	brazil	brazil	PROPN
bracis-19044	268	15	andré	andré	PROPN
bracis-19044	268	16	britto	britto	PROPN
bracis-19044	268	17	universidade	universidade	PROPN
bracis-19044	268	18	de	de	PROPN
bracis-19044	268	19	são	são	PROPN
bracis-19044	268	20	paulo	paulo	PROPN
bracis-19044	268	21	,	,	PUNCT
bracis-19044	268	22	são	são	PROPN
bracis-19044	268	23	paulo	paulo	PROPN
bracis-19044	268	24	,	,	PUNCT
bracis-19044	268	25	brazil	brazil	PROPN
bracis-19044	268	26	karina	karina	PROPN
bracis-19044	268	27	valdivia	valdivia	PROPN
bracis-19044	268	28	delgado	delgado	VERB
bracis-19044	268	29	rights	right	NOUN
bracis-19044	268	30	and	and	CCONJ
bracis-19044	268	31	permissions	permission	NOUN
bracis-19044	268	32	reprints	reprint	NOUN
bracis-19044	268	33	and	and	CCONJ
bracis-19044	268	34	permissions	permission	VERB
bracis-19044	268	35	copyright	copyright	NOUN
bracis-19044	268	36	information	information	NOUN
bracis-19044	268	37	©	©	PROPN
bracis-19044	268	38	2021	2021	NUM
bracis-19044	268	39	springer	springer	NOUN
bracis-19044	268	40	nature	nature	NOUN
bracis-19044	268	41	switzerland	switzerland	PROPN
bracis-19044	268	42	ag	ag	PROPN
bracis-19044	268	43	about	about	ADP
bracis-19044	268	44	this	this	DET
bracis-19044	268	45	paper	paper	NOUN
bracis-19044	268	46	cite	cite	VERB
bracis-19044	268	47	this	this	DET
bracis-19044	268	48	paper	paper	NOUN
bracis-19044	268	49	lima	lima	NOUN
bracis-19044	268	50	,	,	PUNCT
bracis-19044	268	51	m.	m.	NOUN
bracis-19044	268	52	,	,	PUNCT
bracis-19044	268	53	filho	filho	PROPN
bracis-19044	268	54	,	,	PUNCT
bracis-19044	268	55	t.s	t.s	PROPN
bracis-19044	268	56	.	.	PROPN
bracis-19044	268	57	,	,	PUNCT
bracis-19044	268	58	de	de	PROPN
bracis-19044	268	59	a.	a.	NOUN
bracis-19044	268	60	fagundes	fagunde	NOUN
bracis-19044	268	61	,	,	PUNCT
bracis-19044	268	62	r.a	r.a	PROPN
bracis-19044	268	63	.	.	PROPN
bracis-19044	268	64	(	(	PUNCT
bracis-19044	268	65	2021	2021	NUM
bracis-19044	268	66	)	)	PUNCT
bracis-19044	268	67	.	.	PUNCT
bracis-19044	269	1	a	a	DET
bracis-19044	269	2	comparative	comparative	ADJ
bracis-19044	269	3	study	study	NOUN
bracis-19044	269	4	on	on	ADP
bracis-19044	269	5	concept	concept	NOUN
bracis-19044	269	6	drift	drift	NOUN
bracis-19044	269	7	detectors	detector	NOUN
bracis-19044	269	8	for	for	ADP
bracis-19044	269	9	regression	regression	NOUN
bracis-19044	269	10	.	.	PUNCT
bracis-19044	270	1	in	in	ADP
bracis-19044	270	2	:	:	PUNCT
bracis-19044	270	3	britto	britto	PROPN
bracis-19044	270	4	,	,	PUNCT
bracis-19044	270	5	a.	a.	PROPN
bracis-19044	270	6	,	,	PUNCT
bracis-19044	270	7	valdivia	valdivia	PROPN
bracis-19044	270	8	delgado	delgado	PROPN
bracis-19044	270	9	,	,	PUNCT
bracis-19044	270	10	k.	k.	PROPN
bracis-19044	270	11	(	(	PUNCT
bracis-19044	270	12	eds	eds	PROPN
bracis-19044	270	13	)	)	PUNCT
bracis-19044	270	14	intelligent	intelligent	ADJ
bracis-19044	270	15	systems	system	NOUN
bracis-19044	270	16	.	.	PUNCT
bracis-19044	271	1	bracis	bracis	PROPN
bracis-19044	271	2	2021	2021	NUM
bracis-19044	271	3	.	.	PUNCT
bracis-19044	272	1	lecture	lecture	NOUN
bracis-19044	272	2	notes	note	NOUN
bracis-19044	272	3	in	in	ADP
bracis-19044	272	4	computer	computer	NOUN
bracis-19044	272	5	science	science	NOUN
bracis-19044	272	6	(	(	PUNCT
bracis-19044	272	7	)	)	PUNCT
bracis-19044	272	8	,	,	PUNCT
bracis-19044	272	9	vol	vol	NOUN
bracis-19044	272	10	13073	13073	NUM
bracis-19044	272	11	.	.	PUNCT
bracis-19044	273	1	springer	springer	NOUN
bracis-19044	273	2	,	,	PUNCT
bracis-19044	273	3	cham	cham	PROPN
bracis-19044	273	4	.	.	PUNCT
bracis-19044	274	1	https://doi.org/10.1007/978-3-030-91702-9_26	https://doi.org/10.1007/978-3-030-91702-9_26	PROPN
bracis-19044	274	2	download	download	NOUN
bracis-19044	274	3	citation	citation	NOUN
bracis-19044	274	4	.ris	.ris	PUNCT
bracis-19044	274	5	.enw	.enw	PROPN
bracis-19044	274	6	.bib	.bib	PUNCT
bracis-19044	275	1	doi	doi	PROPN
bracis-19044	275	2	:	:	PUNCT
bracis-19044	275	3	https://doi.org/10.1007/978-3-030-91702-9_26	https://doi.org/10.1007/978-3-030-91702-9_26	PROPN
bracis-19044	275	4	published	publish	VERB
bracis-19044	275	5	:	:	PUNCT
bracis-19044	275	6	28	28	NUM
bracis-19044	275	7	november	november	PROPN
bracis-19044	275	8	2021	2021	NUM
bracis-19044	275	9	publisher	publisher	NOUN
bracis-19044	275	10	name	name	NOUN
bracis-19044	275	11	:	:	PUNCT
bracis-19044	275	12	springer	springer	NOUN
bracis-19044	275	13	,	,	PUNCT
bracis-19044	275	14	cham	cham	PROPN
bracis-19044	275	15	print	print	PROPN
bracis-19044	275	16	isbn	isbn	PROPN
bracis-19044	275	17	:	:	PUNCT
bracis-19044	275	18	978	978	NUM
bracis-19044	275	19	-	-	SYM
bracis-19044	275	20	3	3	NUM
bracis-19044	275	21	-	-	PUNCT
bracis-19044	275	22	030	030	NUM
bracis-19044	275	23	-	-	PUNCT
bracis-19044	275	24	91701	91701	NUM
bracis-19044	275	25	-	-	SYM
bracis-19044	275	26	2	2	NUM
bracis-19044	275	27	online	online	ADJ
bracis-19044	275	28	isbn	isbn	NOUN
bracis-19044	275	29	:	:	PUNCT
bracis-19044	275	30	978	978	NUM
bracis-19044	275	31	-	-	SYM
bracis-19044	275	32	3	3	NUM
bracis-19044	275	33	-	-	PUNCT
bracis-19044	275	34	030	030	NUM
bracis-19044	275	35	-	-	PUNCT
bracis-19044	275	36	91702	91702	NUM
bracis-19044	275	37	-	-	SYM
bracis-19044	275	38	9	9	NUM
bracis-19044	275	39	ebook	ebook	NOUN
bracis-19044	275	40	packages	package	NOUN
bracis-19044	275	41	:	:	PUNCT
bracis-19044	275	42	computer	computer	NOUN
bracis-19044	275	43	sciencecomputer	sciencecomputer	NOUN
bracis-19044	275	44	science	science	NOUN
bracis-19044	275	45	(	(	PUNCT
bracis-19044	275	46	r0	r0	NOUN
bracis-19044	275	47	)	)	PUNCT
bracis-19044	275	48	share	share	VERB
bracis-19044	275	49	this	this	DET
bracis-19044	275	50	paper	paper	NOUN
bracis-19044	275	51	anyone	anyone	PRON
bracis-19044	275	52	you	you	PRON
bracis-19044	275	53	share	share	VERB
bracis-19044	275	54	the	the	DET
bracis-19044	275	55	following	follow	VERB
bracis-19044	275	56	link	link	NOUN
bracis-19044	275	57	with	with	ADP
bracis-19044	275	58	will	will	AUX
bracis-19044	275	59	be	be	AUX
bracis-19044	275	60	able	able	ADJ
bracis-19044	275	61	to	to	PART
bracis-19044	275	62	read	read	VERB
bracis-19044	275	63	this	this	DET
bracis-19044	275	64	content	content	NOUN
bracis-19044	275	65	:	:	PUNCT
bracis-19044	275	66	get	get	VERB
bracis-19044	275	67	shareable	shareable	ADJ
bracis-19044	275	68	linksorry	linksorry	NOUN
bracis-19044	275	69	,	,	PUNCT
bracis-19044	275	70	a	a	DET
bracis-19044	275	71	shareable	shareable	ADJ
bracis-19044	275	72	link	link	NOUN
bracis-19044	275	73	is	be	AUX
bracis-19044	275	74	not	not	PART
bracis-19044	275	75	currently	currently	ADV
bracis-19044	275	76	available	available	ADJ
bracis-19044	275	77	for	for	ADP
bracis-19044	275	78	this	this	DET
bracis-19044	275	79	article	article	NOUN
bracis-19044	275	80	.	.	PUNCT
bracis-19044	276	1	copy	copy	VERB
bracis-19044	276	2	shareable	shareable	ADJ
bracis-19044	276	3	link	link	NOUN
bracis-19044	276	4	to	to	PART
bracis-19044	276	5	clipboard	clipboard	NOUN
bracis-19044	276	6	provided	provide	VERB
bracis-19044	276	7	by	by	ADP
bracis-19044	276	8	the	the	DET
bracis-19044	276	9	springer	springer	NOUN
bracis-19044	276	10	nature	nature	PROPN
bracis-19044	276	11	sharedit	sharedit	PROPN
bracis-19044	276	12	content	content	NOUN
bracis-19044	276	13	-	-	PUNCT
bracis-19044	276	14	sharing	share	VERB
bracis-19044	276	15	initiative	initiative	NOUN
bracis-19044	276	16	keywords	keyword	NOUN
bracis-19044	276	17	concept	concept	VERB
bracis-19044	276	18	drift	drift	NOUN
bracis-19044	276	19	detection	detection	NOUN
bracis-19044	276	20	regression	regression	VERB
bracis-19044	276	21	comparative	comparative	ADJ
bracis-19044	276	22	study	study	NOUN
bracis-19044	276	23	publish	publish	VERB
bracis-19044	276	24	with	with	ADP
bracis-19044	276	25	us	us	PROPN
bracis-19044	276	26	policies	policy	NOUN
bracis-19044	276	27	and	and	CCONJ
bracis-19044	276	28	ethics	ethic	NOUN
bracis-19044	276	29	profiles	profile	NOUN
bracis-19044	276	30	telmo	telmo	PROPN
bracis-19044	276	31	silva	silva	PROPN
bracis-19044	276	32	filho	filho	PROPN
bracis-19044	276	33	view	view	NOUN
bracis-19044	276	34	author	author	NOUN
bracis-19044	276	35	profile	profile	NOUN
bracis-19044	276	36	search	search	NOUN
bracis-19044	276	37	search	search	NOUN
bracis-19044	276	38	by	by	ADP
bracis-19044	276	39	keyword	keyword	NOUN
bracis-19044	276	40	or	or	CCONJ
bracis-19044	276	41	author	author	NOUN
bracis-19044	276	42	search	search	NOUN
bracis-19044	276	43	navigation	navigation	NOUN
bracis-19044	276	44	find	find	VERB
bracis-19044	276	45	a	a	DET
bracis-19044	276	46	journal	journal	NOUN
bracis-19044	276	47	publish	publish	VERB
bracis-19044	276	48	with	with	ADP
bracis-19044	276	49	us	we	PRON
bracis-19044	276	50	track	track	VERB
bracis-19044	276	51	your	your	PRON
bracis-19044	276	52	research	research	NOUN
bracis-19044	276	53	discover	discover	VERB
bracis-19044	276	54	content	content	NOUN
bracis-19044	276	55	journals	journal	NOUN
bracis-19044	276	56	a	a	DET
bracis-19044	276	57	-	-	PUNCT
bracis-19044	276	58	z	z	NOUN
bracis-19044	276	59	books	book	NOUN
bracis-19044	276	60	a	a	DET
bracis-19044	276	61	-	-	PUNCT
bracis-19044	276	62	z	z	NOUN
bracis-19044	276	63	publish	publish	NOUN
bracis-19044	276	64	with	with	ADP
bracis-19044	276	65	us	us	PROPN
bracis-19044	276	66	journal	journal	PROPN
bracis-19044	276	67	finder	finder	PROPN
bracis-19044	276	68	publish	publish	VERB
bracis-19044	276	69	your	your	PRON
bracis-19044	276	70	research	research	NOUN
bracis-19044	276	71	language	language	NOUN
bracis-19044	276	72	editing	edit	VERB
bracis-19044	276	73	open	open	ADJ
bracis-19044	276	74	access	access	NOUN
bracis-19044	276	75	publishing	publishing	NOUN
bracis-19044	276	76	products	product	NOUN
bracis-19044	276	77	and	and	CCONJ
bracis-19044	276	78	services	service	NOUN
bracis-19044	276	79	our	our	PRON
bracis-19044	276	80	products	product	NOUN
bracis-19044	276	81	librarians	librarian	VERB
bracis-19044	276	82	societies	society	NOUN
bracis-19044	276	83	partners	partner	NOUN
bracis-19044	276	84	and	and	CCONJ
bracis-19044	276	85	advertisers	advertiser	NOUN
bracis-19044	276	86	our	our	PRON
bracis-19044	276	87	brands	brand	NOUN
bracis-19044	276	88	springer	springer	NOUN
bracis-19044	276	89	nature	nature	PROPN
bracis-19044	276	90	portfolio	portfolio	PROPN
bracis-19044	276	91	bmc	bmc	PROPN
bracis-19044	276	92	palgrave	palgrave	PROPN
bracis-19044	276	93	macmillan	macmillan	PROPN
bracis-19044	276	94	apress	apress	PROPN
bracis-19044	276	95	discover	discover	VERB
bracis-19044	276	96	your	your	PRON
bracis-19044	276	97	privacy	privacy	NOUN
bracis-19044	276	98	choices	choice	NOUN
bracis-19044	276	99	/	/	SYM
bracis-19044	276	100	manage	manage	NOUN
bracis-19044	276	101	cookies	cookie	NOUN
bracis-19044	276	102	your	your	PRON
bracis-19044	276	103	us	us	PROPN
bracis-19044	277	1	state	state	NOUN
bracis-19044	277	2	privacy	privacy	NOUN
bracis-19044	277	3	rights	right	NOUN
bracis-19044	277	4	accessibility	accessibility	NOUN
bracis-19044	277	5	statement	statement	NOUN
bracis-19044	277	6	terms	term	NOUN
bracis-19044	277	7	and	and	CCONJ
bracis-19044	277	8	conditions	condition	NOUN
bracis-19044	277	9	privacy	privacy	NOUN
bracis-19044	277	10	policy	policy	NOUN
bracis-19044	277	11	help	help	NOUN
bracis-19044	277	12	and	and	CCONJ
bracis-19044	277	13	support	support	VERB
bracis-19044	277	14	legal	legal	ADJ
bracis-19044	277	15	notice	notice	NOUN
bracis-19044	277	16	cancel	cancel	VERB
bracis-19044	277	17	contracts	contract	NOUN
bracis-19044	277	18	here	here	ADV
bracis-19044	277	19	129.74.145.123	129.74.145.123	NUM
bracis-19044	277	20	hesburgh	hesburgh	PROPN
bracis-19044	277	21	library	library	PROPN
bracis-19044	277	22	er	er	INTJ
bracis-19044	277	23	unit	unit	NOUN
bracis-19044	277	24	(	(	PUNCT
bracis-19044	277	25	3005732405	3005732405	NUM
bracis-19044	277	26	)	)	PUNCT
bracis-19044	277	27	northeast	northeast	ADJ
bracis-19044	277	28	research	research	NOUN
bracis-19044	277	29	libraries	library	NOUN
bracis-19044	277	30	(	(	PUNCT
bracis-19044	277	31	nerl	nerl	PROPN
bracis-19044	277	32	)	)	PUNCT
bracis-19044	277	33	(	(	PUNCT
bracis-19044	277	34	8200828607	8200828607	NUM
bracis-19044	277	35	)	)	PUNCT
bracis-19044	277	36	nerl	nerl	VERB
bracis-19044	277	37	ta	ta	X
bracis-19044	277	38	account	account	NOUN
bracis-19044	277	39	(	(	PUNCT
bracis-19044	277	40	3006206169	3006206169	NUM
bracis-19044	277	41	)	)	PUNCT
bracis-19044	277	42	university	university	NOUN
bracis-19044	277	43	of	of	ADP
bracis-19044	277	44	notre	notre	PROPN
bracis-19044	277	45	dame	dame	PROPN
bracis-19044	277	46	hesburgh	hesburgh	PROPN
bracis-19044	277	47	library	library	NOUN
bracis-19044	277	48	(	(	PUNCT
bracis-19044	277	49	3000184373	3000184373	NUM
bracis-19044	277	50	)	)	PUNCT
bracis-19044	278	1	©	©	ADP
bracis-19044	278	2	2025	2025	NUM
bracis-19044	278	3	springer	springer	NOUN
bracis-19044	278	4	nature	nature	NOUN