id	sid	tid	token	lemma	pos
fbem-193	1	1	frontiers	frontier	NOUN
fbem-193	1	2	in	in	ADP
fbem-193	1	3	business	business	NOUN
fbem-193	1	4	,	,	PUNCT
fbem-193	1	5	economics	economic	NOUN
fbem-193	1	6	and	and	CCONJ
fbem-193	1	7	management	management	NOUN
fbem-193	1	8	issn	issn	PROPN
fbem-193	1	9	:	:	PUNCT
fbem-193	1	10	2766	2766	NUM
fbem-193	1	11	-	-	PUNCT
fbem-193	1	12	824x	824x	NUM
fbem-193	1	13	|	|	ADJ
fbem-193	1	14	vol	vol	NOUN
fbem-193	1	15	.	.	PROPN
fbem-193	2	1	2	2	NUM
fbem-193	2	2	,	,	PUNCT
fbem-193	2	3	no	no	INTJ
fbem-193	2	4	.	.	NOUN
fbem-193	2	5	3	3	NUM
fbem-193	2	6	,	,	PUNCT
fbem-193	2	7	2021	2021	NUM
fbem-193	2	8	50	50	NUM
fbem-193	2	9	an	an	DET
fbem-193	2	10	optimized	optimize	VERB
fbem-193	2	11	modeling	modeling	NOUN
fbem-193	2	12	algorithm	algorithm	NOUN
fbem-193	2	13	for	for	ADP
fbem-193	2	14	breast	breast	NOUN
fbem-193	2	15	cancer	cancer	NOUN
fbem-193	2	16	drug	drug	NOUN
fbem-193	2	17	candidates	candidate	NOUN
fbem-193	2	18	based	base	VERB
fbem-193	2	19	on	on	ADP
fbem-193	2	20	nsgaii	nsgaii	PROPN
fbem-193	2	21	chenyao	chenyao	NOUN
fbem-193	2	22	fan	fan	PROPN
fbem-193	2	23	,	,	PUNCT
fbem-193	2	24	huawei	huawei	PROPN
fbem-193	2	25	mei	mei	PROPN
fbem-193	2	26	north	north	PROPN
fbem-193	2	27	china	china	PROPN
fbem-193	2	28	electric	electric	PROPN
fbem-193	2	29	power	power	PROPN
fbem-193	2	30	university	university	PROPN
fbem-193	2	31	,	,	PUNCT
fbem-193	2	32	baoding	baoding	PROPN
fbem-193	2	33	,	,	PUNCT
fbem-193	2	34	hebei	hebei	PROPN
fbem-193	2	35	,	,	PUNCT
fbem-193	2	36	china	china	PROPN
fbem-193	2	37	abstract	abstract	NOUN
fbem-193	2	38	:	:	PUNCT
fbem-193	2	39	breast	breast	NOUN
fbem-193	2	40	cancer	cancer	NOUN
fbem-193	2	41	is	be	AUX
fbem-193	2	42	one	one	NUM
fbem-193	2	43	of	of	ADP
fbem-193	2	44	the	the	DET
fbem-193	2	45	most	most	ADV
fbem-193	2	46	common	common	ADJ
fbem-193	2	47	malignant	malignant	ADJ
fbem-193	2	48	tumors	tumor	NOUN
fbem-193	2	49	in	in	ADP
fbem-193	2	50	women	woman	NOUN
fbem-193	2	51	.	.	PUNCT
fbem-193	3	1	it	it	PRON
fbem-193	3	2	seriously	seriously	ADV
fbem-193	3	3	threatens	threaten	VERB
fbem-193	3	4	the	the	DET
fbem-193	3	5	safety	safety	NOUN
fbem-193	3	6	of	of	ADP
fbem-193	3	7	women	woman	NOUN
fbem-193	3	8	worldwide	worldwide	ADV
fbem-193	3	9	.	.	PUNCT
fbem-193	4	1	it	it	PRON
fbem-193	4	2	is	be	AUX
fbem-193	4	3	an	an	DET
fbem-193	4	4	important	important	ADJ
fbem-193	4	5	and	and	CCONJ
fbem-193	4	6	urgent	urgent	ADJ
fbem-193	4	7	task	task	NOUN
fbem-193	4	8	to	to	ADP
fbem-193	4	9	research	research	NOUN
fbem-193	4	10	and	and	CCONJ
fbem-193	4	11	develop	develop	VERB
fbem-193	4	12	anti	anti	ADJ
fbem-193	4	13	-	-	ADJ
fbem-193	4	14	breast	breast	ADJ
fbem-193	4	15	cancer	cancer	NOUN
fbem-193	4	16	drugs	drug	NOUN
fbem-193	4	17	and	and	CCONJ
fbem-193	4	18	improve	improve	VERB
fbem-193	4	19	the	the	DET
fbem-193	4	20	therapeutic	therapeutic	ADJ
fbem-193	4	21	effect	effect	NOUN
fbem-193	4	22	of	of	ADP
fbem-193	4	23	breast	breast	NOUN
fbem-193	4	24	cancer	cancer	NOUN
fbem-193	4	25	.	.	PUNCT
fbem-193	5	1	taking	take	VERB
fbem-193	5	2	the	the	DET
fbem-193	5	3	actual	actual	ADJ
fbem-193	5	4	sample	sample	NOUN
fbem-193	5	5	data	datum	NOUN
fbem-193	5	6	as	as	ADP
fbem-193	5	7	the	the	DET
fbem-193	5	8	main	main	ADJ
fbem-193	5	9	starting	starting	NOUN
fbem-193	5	10	point	point	NOUN
fbem-193	5	11	,	,	PUNCT
fbem-193	5	12	firstly	firstly	ADV
fbem-193	5	13	,	,	PUNCT
fbem-193	5	14	the	the	DET
fbem-193	5	15	prediction	prediction	NOUN
fbem-193	5	16	model	model	NOUN
fbem-193	5	17	of	of	ADP
fbem-193	5	18	pic50	pic50	NOUN
fbem-193	5	19	is	be	AUX
fbem-193	5	20	established	establish	VERB
fbem-193	5	21	by	by	ADP
fbem-193	5	22	resnet	resnet	ADJ
fbem-193	5	23	residual	residual	ADJ
fbem-193	5	24	network	network	NOUN
fbem-193	5	25	and	and	CCONJ
fbem-193	5	26	neural	neural	ADJ
fbem-193	5	27	network	network	NOUN
fbem-193	5	28	(	(	PUNCT
fbem-193	5	29	nn	nn	NOUN
fbem-193	5	30	)	)	PUNCT
fbem-193	5	31	to	to	PART
fbem-193	5	32	judge	judge	VERB
fbem-193	5	33	the	the	DET
fbem-193	5	34	biological	biological	ADJ
fbem-193	5	35	activity	activity	NOUN
fbem-193	5	36	.	.	PUNCT
fbem-193	6	1	then	then	ADV
fbem-193	6	2	the	the	DET
fbem-193	6	3	classification	classification	NOUN
fbem-193	6	4	model	model	NOUN
fbem-193	6	5	of	of	ADP
fbem-193	6	6	admet	admet	PROPN
fbem-193	6	7	property	property	NOUN
fbem-193	6	8	is	be	AUX
fbem-193	6	9	established	establish	VERB
fbem-193	6	10	by	by	ADP
fbem-193	6	11	resnet	resnet	ADJ
fbem-193	6	12	residual	residual	ADJ
fbem-193	6	13	network	network	NOUN
fbem-193	6	14	and	and	CCONJ
fbem-193	6	15	lightgbm	lightgbm	ADJ
fbem-193	6	16	,	,	PUNCT
fbem-193	6	17	and	and	CCONJ
fbem-193	6	18	the	the	DET
fbem-193	6	19	model	model	NOUN
fbem-193	6	20	fusion	fusion	NOUN
fbem-193	6	21	is	be	AUX
fbem-193	6	22	realized	realize	VERB
fbem-193	6	23	by	by	ADP
fbem-193	6	24	choquet	choquet	NOUN
fbem-193	6	25	fuzzy	fuzzy	ADJ
fbem-193	6	26	integral	integral	ADJ
fbem-193	6	27	.	.	PUNCT
fbem-193	7	1	finally	finally	ADV
fbem-193	7	2	,	,	PUNCT
fbem-193	7	3	the	the	DET
fbem-193	7	4	nsgaii	nsgaii	ADJ
fbem-193	7	5	multi	multi	ADJ
fbem-193	7	6	-	-	ADJ
fbem-193	7	7	objective	objective	ADJ
fbem-193	7	8	optimization	optimization	NOUN
fbem-193	7	9	algorithm	algorithm	NOUN
fbem-193	7	10	is	be	AUX
fbem-193	7	11	used	use	VERB
fbem-193	7	12	to	to	PART
fbem-193	7	13	determine	determine	VERB
fbem-193	7	14	the	the	DET
fbem-193	7	15	range	range	NOUN
fbem-193	7	16	of	of	ADP
fbem-193	7	17	values	value	NOUN
fbem-193	7	18	that	that	PRON
fbem-193	7	19	each	each	DET
fbem-193	7	20	molecular	molecular	ADJ
fbem-193	7	21	descriptor	descriptor	NOUN
fbem-193	7	22	obtains	obtain	VERB
fbem-193	7	23	in	in	ADP
fbem-193	7	24	the	the	DET
fbem-193	7	25	range	range	NOUN
fbem-193	7	26	of	of	ADP
fbem-193	7	27	good	good	ADJ
fbem-193	7	28	biological	biological	ADJ
fbem-193	7	29	activity	activity	NOUN
fbem-193	7	30	,	,	PUNCT
fbem-193	7	31	and	and	CCONJ
fbem-193	7	32	ultimately	ultimately	ADV
fbem-193	7	33	to	to	PART
fbem-193	7	34	optimize	optimize	VERB
fbem-193	7	35	the	the	DET
fbem-193	7	36	modeling	modeling	NOUN
fbem-193	7	37	of	of	ADP
fbem-193	7	38	anti	anti	ADJ
fbem-193	7	39	-	-	ADJ
fbem-193	7	40	breast	breast	ADJ
fbem-193	7	41	cancer	cancer	NOUN
fbem-193	7	42	drug	drug	NOUN
fbem-193	7	43	candidates	candidate	NOUN
fbem-193	7	44	.	.	PUNCT
fbem-193	8	1	the	the	DET
fbem-193	8	2	experimental	experimental	ADJ
fbem-193	8	3	results	result	NOUN
fbem-193	8	4	show	show	VERB
fbem-193	8	5	that	that	SCONJ
fbem-193	8	6	the	the	DET
fbem-193	8	7	algorithm	algorithm	NOUN
fbem-193	8	8	improves	improve	VERB
fbem-193	8	9	the	the	DET
fbem-193	8	10	prediction	prediction	NOUN
fbem-193	8	11	accuracy	accuracy	NOUN
fbem-193	8	12	of	of	ADP
fbem-193	8	13	biological	biological	ADJ
fbem-193	8	14	activity	activity	NOUN
fbem-193	8	15	,	,	PUNCT
fbem-193	8	16	realizes	realize	VERB
fbem-193	8	17	the	the	DET
fbem-193	8	18	efficient	efficient	ADJ
fbem-193	8	19	and	and	CCONJ
fbem-193	8	20	accurate	accurate	ADJ
fbem-193	8	21	classification	classification	NOUN
fbem-193	8	22	of	of	ADP
fbem-193	8	23	admet	admet	PROPN
fbem-193	8	24	properties	property	NOUN
fbem-193	8	25	,	,	PUNCT
fbem-193	8	26	and	and	CCONJ
fbem-193	8	27	accurately	accurately	ADV
fbem-193	8	28	describes	describe	VERB
fbem-193	8	29	the	the	DET
fbem-193	8	30	impact	impact	NOUN
fbem-193	8	31	of	of	ADP
fbem-193	8	32	molecular	molecular	ADJ
fbem-193	8	33	descriptors	descriptor	NOUN
fbem-193	8	34	on	on	ADP
fbem-193	8	35	biological	biological	ADJ
fbem-193	8	36	activity	activity	NOUN
fbem-193	8	37	.	.	PUNCT
fbem-193	9	1	keywords	keyword	NOUN
fbem-193	9	2	:	:	PUNCT
fbem-193	9	3	resnet	resnet	VERB
fbem-193	9	4	residual	residual	ADJ
fbem-193	9	5	network	network	NOUN
fbem-193	9	6	,	,	PUNCT
fbem-193	9	7	nsgaⅱ	nsgaⅱ	VERB
fbem-193	9	8	multi	multi	ADJ
fbem-193	9	9	-	-	ADJ
fbem-193	9	10	objective	objective	ADJ
fbem-193	9	11	optimization	optimization	NOUN
fbem-193	9	12	algorithm	algorithm	NOUN
fbem-193	9	13	,	,	PUNCT
fbem-193	9	14	choquet	choquet	VERB
fbem-193	9	15	fuzzy	fuzzy	ADJ
fbem-193	9	16	integral	integral	ADJ
fbem-193	9	17	;	;	PUNCT
fbem-193	9	18	bioactivity	bioactivity	NOUN
fbem-193	9	19	prediction	prediction	NOUN
fbem-193	9	20	,	,	PUNCT
fbem-193	9	21	neural	neural	ADJ
fbem-193	9	22	network	network	NOUN
fbem-193	9	23	.	.	PUNCT
fbem-193	10	1	1	1	X
fbem-193	10	2	.	.	X
fbem-193	10	3	introduction	introduction	NOUN
fbem-193	10	4	breast	breast	NOUN
fbem-193	10	5	cancer	cancer	NOUN
fbem-193	10	6	is	be	AUX
fbem-193	10	7	a	a	DET
fbem-193	10	8	common	common	ADJ
fbem-193	10	9	cancer	cancer	NOUN
fbem-193	10	10	nowadays	nowadays	ADV
fbem-193	10	11	,	,	PUNCT
fbem-193	10	12	also	also	ADV
fbem-193	10	13	known	know	VERB
fbem-193	10	14	as	as	ADP
fbem-193	10	15	pink	pink	ADJ
fbem-193	10	16	killer	killer	NOUN
fbem-193	10	17	,	,	PUNCT
fbem-193	10	18	which	which	PRON
fbem-193	10	19	has	have	VERB
fbem-193	10	20	a	a	DET
fbem-193	10	21	high	high	ADJ
fbem-193	10	22	incidence	incidence	NOUN
fbem-193	10	23	rate	rate	NOUN
fbem-193	10	24	of	of	ADP
fbem-193	10	25	over	over	ADP
fbem-193	10	26	20	20	NUM
fbem-193	10	27	%	%	NOUN
fbem-193	10	28	in	in	ADP
fbem-193	10	29	women	woman	NOUN
fbem-193	10	30	worldwide	worldwide	ADV
fbem-193	10	31	,	,	PUNCT
fbem-193	10	32	ranking	rank	VERB
fbem-193	10	33	the	the	DET
fbem-193	10	34	first	first	ADJ
fbem-193	10	35	place	place	NOUN
fbem-193	10	36	in	in	ADP
fbem-193	10	37	women	woman	NOUN
fbem-193	10	38	's	's	PART
fbem-193	10	39	cancer	cancer	NOUN
fbem-193	10	40	.	.	PUNCT
fbem-193	11	1	related	relate	VERB
fbem-193	11	2	studies	study	NOUN
fbem-193	11	3	[	[	X
fbem-193	11	4	1	1	X
fbem-193	11	5	]	]	PUNCT
fbem-193	11	6	have	have	AUX
fbem-193	11	7	found	find	VERB
fbem-193	11	8	that	that	PRON
fbem-193	11	9	estrogen	estrogen	NOUN
fbem-193	11	10	receptor	receptor	NOUN
fbem-193	11	11	α	α	NOUN
fbem-193	11	12	subtype	subtype	NOUN
fbem-193	11	13	(	(	PUNCT
fbem-193	11	14	erα	erα	NOUN
fbem-193	11	15	)	)	PUNCT
fbem-193	11	16	is	be	AUX
fbem-193	11	17	expressed	express	VERB
fbem-193	11	18	in	in	ADP
fbem-193	11	19	50	50	NUM
fbem-193	11	20	%	%	NOUN
fbem-193	11	21	80	80	NUM
fbem-193	11	22	%	%	NOUN
fbem-193	11	23	of	of	ADP
fbem-193	11	24	breast	breast	NOUN
fbem-193	11	25	tumor	tumor	NOUN
fbem-193	11	26	cells	cell	NOUN
fbem-193	11	27	,	,	PUNCT
fbem-193	11	28	and	and	CCONJ
fbem-193	11	29	the	the	DET
fbem-193	11	30	experiment	experiment	NOUN
fbem-193	11	31	of	of	ADP
fbem-193	11	32	erα	erα	ADJ
fbem-193	11	33	gene	gene	NOUN
fbem-193	11	34	deletion	deletion	NOUN
fbem-193	11	35	mice	mouse	NOUN
fbem-193	11	36	also	also	ADV
fbem-193	11	37	confirmed	confirm	VERB
fbem-193	11	38	that	that	SCONJ
fbem-193	11	39	erα	erα	NOUN
fbem-193	11	40	has	have	VERB
fbem-193	11	41	a	a	DET
fbem-193	11	42	great	great	ADJ
fbem-193	11	43	impact	impact	NOUN
fbem-193	11	44	on	on	ADP
fbem-193	11	45	the	the	DET
fbem-193	11	46	development	development	NOUN
fbem-193	11	47	of	of	ADP
fbem-193	11	48	breast	breast	NOUN
fbem-193	11	49	.	.	PUNCT
fbem-193	12	1	therefore	therefore	ADV
fbem-193	12	2	,	,	PUNCT
fbem-193	12	3	erα	erα	NOUN
fbem-193	12	4	is	be	AUX
fbem-193	12	5	considered	consider	VERB
fbem-193	12	6	to	to	PART
fbem-193	12	7	be	be	AUX
fbem-193	12	8	an	an	DET
fbem-193	12	9	important	important	ADJ
fbem-193	12	10	target	target	NOUN
fbem-193	12	11	for	for	ADP
fbem-193	12	12	breast	breast	NOUN
fbem-193	12	13	cancer	cancer	NOUN
fbem-193	12	14	treatment	treatment	NOUN
fbem-193	12	15	,	,	PUNCT
fbem-193	12	16	and	and	CCONJ
fbem-193	12	17	it	it	PRON
fbem-193	12	18	can	can	AUX
fbem-193	12	19	antagonize	antagonize	VERB
fbem-193	12	20	erα	erα	NOUN
fbem-193	12	21	.	.	PUNCT
fbem-193	13	1	α	α	PRON
fbem-193	13	2	active	active	ADJ
fbem-193	13	3	compounds	compound	NOUN
fbem-193	13	4	are	be	AUX
fbem-193	13	5	considered	consider	VERB
fbem-193	13	6	candidates	candidate	NOUN
fbem-193	13	7	for	for	ADP
fbem-193	13	8	possible	possible	ADJ
fbem-193	13	9	treatment	treatment	NOUN
fbem-193	13	10	of	of	ADP
fbem-193	13	11	breast	breast	NOUN
fbem-193	13	12	cancer	cancer	NOUN
fbem-193	13	13	.	.	PUNCT
fbem-193	14	1	screening	screen	VERB
fbem-193	14	2	for	for	ADP
fbem-193	14	3	potentially	potentially	ADV
fbem-193	14	4	active	active	ADJ
fbem-193	14	5	compounds	compound	NOUN
fbem-193	14	6	economically	economically	ADV
fbem-193	14	7	and	and	CCONJ
fbem-193	14	8	efficiently	efficiently	ADV
fbem-193	14	9	has	have	AUX
fbem-193	14	10	also	also	ADV
fbem-193	14	11	become	become	VERB
fbem-193	14	12	a	a	DET
fbem-193	14	13	key	key	ADJ
fbem-193	14	14	link	link	NOUN
fbem-193	14	15	in	in	ADP
fbem-193	14	16	the	the	DET
fbem-193	14	17	development	development	NOUN
fbem-193	14	18	and	and	CCONJ
fbem-193	14	19	treatment	treatment	NOUN
fbem-193	14	20	of	of	ADP
fbem-193	14	21	breast	breast	NOUN
fbem-193	14	22	cancer	cancer	NOUN
fbem-193	14	23	drugs	drug	NOUN
fbem-193	14	24	.	.	PUNCT
fbem-193	15	1	at	at	ADP
fbem-193	15	2	present	present	ADJ
fbem-193	15	3	,	,	PUNCT
fbem-193	15	4	in	in	ADP
fbem-193	15	5	order	order	NOUN
fbem-193	15	6	to	to	PART
fbem-193	15	7	save	save	VERB
fbem-193	15	8	time	time	NOUN
fbem-193	15	9	and	and	CCONJ
fbem-193	15	10	cost	cost	NOUN
fbem-193	15	11	in	in	ADP
fbem-193	15	12	drug	drug	NOUN
fbem-193	15	13	research	research	NOUN
fbem-193	15	14	and	and	CCONJ
fbem-193	15	15	development	development	NOUN
fbem-193	15	16	,	,	PUNCT
fbem-193	15	17	the	the	DET
fbem-193	15	18	method	method	NOUN
fbem-193	15	19	of	of	ADP
fbem-193	15	20	establishing	establish	VERB
fbem-193	15	21	compound	compound	NOUN
fbem-193	15	22	activity	activity	NOUN
fbem-193	15	23	prediction	prediction	NOUN
fbem-193	15	24	model	model	NOUN
fbem-193	15	25	is	be	AUX
fbem-193	15	26	usually	usually	ADV
fbem-193	15	27	used	use	VERB
fbem-193	15	28	to	to	PART
fbem-193	15	29	screen	screen	VERB
fbem-193	15	30	potential	potential	ADJ
fbem-193	15	31	active	active	ADJ
fbem-193	15	32	compounds	compound	NOUN
fbem-193	15	33	.	.	PUNCT
fbem-193	16	1	the	the	DET
fbem-193	16	2	specific	specific	ADJ
fbem-193	16	3	method	method	NOUN
fbem-193	16	4	is	be	AUX
fbem-193	16	5	:	:	PUNCT
fbem-193	16	6	for	for	ADP
fbem-193	16	7	a	a	DET
fbem-193	16	8	target	target	NOUN
fbem-193	16	9	(	(	PUNCT
fbem-193	16	10	erα	erα	NOUN
fbem-193	16	11	)	)	PUNCT
fbem-193	16	12	related	relate	VERB
fbem-193	16	13	to	to	ADP
fbem-193	16	14	disease	disease	NOUN
fbem-193	16	15	,	,	PUNCT
fbem-193	16	16	collect	collect	VERB
fbem-193	16	17	a	a	DET
fbem-193	16	18	series	series	NOUN
fbem-193	16	19	of	of	ADP
fbem-193	16	20	compounds	compound	NOUN
fbem-193	16	21	acting	act	VERB
fbem-193	16	22	on	on	ADP
fbem-193	16	23	the	the	DET
fbem-193	16	24	target	target	NOUN
fbem-193	16	25	and	and	CCONJ
fbem-193	16	26	their	their	PRON
fbem-193	16	27	bioactivity	bioactivity	NOUN
fbem-193	16	28	data	datum	NOUN
fbem-193	16	29	,	,	PUNCT
fbem-193	16	30	and	and	CCONJ
fbem-193	16	31	then	then	ADV
fbem-193	16	32	take	take	VERB
fbem-193	16	33	a	a	DET
fbem-193	16	34	series	series	NOUN
fbem-193	16	35	of	of	ADP
fbem-193	16	36	molecular	molecular	ADJ
fbem-193	16	37	structure	structure	NOUN
fbem-193	16	38	descriptors	descriptor	NOUN
fbem-193	16	39	as	as	ADP
fbem-193	16	40	independent	independent	ADJ
fbem-193	16	41	variables	variable	NOUN
fbem-193	16	42	and	and	CCONJ
fbem-193	16	43	the	the	DET
fbem-193	16	44	bioactivity	bioactivity	NOUN
fbem-193	16	45	value	value	NOUN
fbem-193	16	46	of	of	ADP
fbem-193	16	47	the	the	DET
fbem-193	16	48	compound	compound	NOUN
fbem-193	16	49	as	as	ADP
fbem-193	16	50	dependent	dependent	ADJ
fbem-193	16	51	variables	variable	NOUN
fbem-193	16	52	to	to	PART
fbem-193	16	53	construct	construct	VERB
fbem-193	16	54	the	the	DET
fbem-193	16	55	quantitative	quantitative	ADJ
fbem-193	16	56	structure	structure	NOUN
fbem-193	16	57	-	-	PUNCT
fbem-193	16	58	activity	activity	NOUN
fbem-193	16	59	relationship	relationship	NOUN
fbem-193	16	60	(	(	PUNCT
fbem-193	16	61	qsar	qsar	NOUN
fbem-193	16	62	)	)	PUNCT
fbem-193	16	63	model	model	NOUN
fbem-193	16	64	of	of	ADP
fbem-193	16	65	the	the	DET
fbem-193	16	66	compound	compound	NOUN
fbem-193	16	67	,	,	PUNCT
fbem-193	16	68	then	then	ADV
fbem-193	16	69	the	the	DET
fbem-193	16	70	model	model	NOUN
fbem-193	16	71	is	be	AUX
fbem-193	16	72	used	use	VERB
fbem-193	16	73	to	to	PART
fbem-193	16	74	predict	predict	VERB
fbem-193	16	75	new	new	ADJ
fbem-193	16	76	compound	compound	NOUN
fbem-193	16	77	molecules	molecule	NOUN
fbem-193	16	78	with	with	ADP
fbem-193	16	79	better	well	ADJ
fbem-193	16	80	biological	biological	ADJ
fbem-193	16	81	activity	activity	NOUN
fbem-193	16	82	,	,	PUNCT
fbem-193	16	83	or	or	CCONJ
fbem-193	16	84	to	to	PART
fbem-193	16	85	guide	guide	VERB
fbem-193	16	86	the	the	DET
fbem-193	16	87	structural	structural	ADJ
fbem-193	16	88	optimization	optimization	NOUN
fbem-193	16	89	of	of	ADP
fbem-193	16	90	existing	exist	VERB
fbem-193	16	91	active	active	ADJ
fbem-193	16	92	compounds	compound	NOUN
fbem-193	16	93	.	.	PUNCT
fbem-193	17	1	in	in	ADP
fbem-193	17	2	the	the	DET
fbem-193	17	3	process	process	NOUN
fbem-193	17	4	of	of	ADP
fbem-193	17	5	drug	drug	NOUN
fbem-193	17	6	research	research	NOUN
fbem-193	17	7	and	and	CCONJ
fbem-193	17	8	development	development	NOUN
fbem-193	17	9	,	,	PUNCT
fbem-193	17	10	a	a	DET
fbem-193	17	11	compound	compound	NOUN
fbem-193	17	12	activity	activity	NOUN
fbem-193	17	13	prediction	prediction	NOUN
fbem-193	17	14	model	model	NOUN
fbem-193	17	15	is	be	AUX
fbem-193	17	16	usually	usually	ADV
fbem-193	17	17	established	establish	VERB
fbem-193	17	18	to	to	PART
fbem-193	17	19	screen	screen	VERB
fbem-193	17	20	suitable	suitable	ADJ
fbem-193	17	21	active	active	ADJ
fbem-193	17	22	compounds	compound	NOUN
fbem-193	17	23	.	.	PUNCT
fbem-193	18	1	the	the	DET
fbem-193	18	2	steps	step	NOUN
fbem-193	18	3	are	be	AUX
fbem-193	18	4	as	as	SCONJ
fbem-193	18	5	follows	follow	VERB
fbem-193	18	6	:	:	PUNCT
fbem-193	18	7	(	(	PUNCT
fbem-193	18	8	1	1	X
fbem-193	18	9	)	)	PUNCT
fbem-193	18	10	find	find	VERB
fbem-193	18	11	out	out	ADP
fbem-193	18	12	the	the	DET
fbem-193	18	13	effect	effect	NOUN
fbem-193	18	14	on	on	ADP
fbem-193	18	15	erα	erα	NOUN
fbem-193	18	16	the	the	DET
fbem-193	18	17	bioactivity	bioactivity	NOUN
fbem-193	18	18	data	datum	NOUN
fbem-193	18	19	of	of	ADP
fbem-193	18	20	the	the	DET
fbem-193	18	21	compounds	compound	NOUN
fbem-193	18	22	were	be	AUX
fbem-193	18	23	analyzed	analyze	VERB
fbem-193	18	24	;	;	PUNCT
fbem-193	18	25	(	(	PUNCT
fbem-193	18	26	2	2	X
fbem-193	18	27	)	)	PUNCT
fbem-193	18	28	taking	take	VERB
fbem-193	18	29	the	the	DET
fbem-193	18	30	molecular	molecular	ADJ
fbem-193	18	31	structure	structure	NOUN
fbem-193	18	32	descriptor	descriptor	NOUN
fbem-193	18	33	as	as	ADP
fbem-193	18	34	the	the	DET
fbem-193	18	35	independent	independent	ADJ
fbem-193	18	36	variable	variable	NOUN
fbem-193	18	37	and	and	CCONJ
fbem-193	18	38	the	the	DET
fbem-193	18	39	bioactivity	bioactivity	NOUN
fbem-193	18	40	value	value	NOUN
fbem-193	18	41	of	of	ADP
fbem-193	18	42	the	the	DET
fbem-193	18	43	compound	compound	NOUN
fbem-193	18	44	as	as	ADP
fbem-193	18	45	the	the	DET
fbem-193	18	46	dependent	dependent	ADJ
fbem-193	18	47	variable	variable	NOUN
fbem-193	18	48	,	,	PUNCT
fbem-193	18	49	the	the	DET
fbem-193	18	50	relationship	relationship	NOUN
fbem-193	18	51	model	model	NOUN
fbem-193	18	52	between	between	ADP
fbem-193	18	53	them	they	PRON
fbem-193	18	54	was	be	AUX
fbem-193	18	55	established	establish	VERB
fbem-193	18	56	;	;	PUNCT
fbem-193	18	57	(	(	PUNCT
fbem-193	18	58	3	3	X
fbem-193	18	59	)	)	PUNCT
fbem-193	18	60	the	the	DET
fbem-193	18	61	established	establish	VERB
fbem-193	18	62	model	model	NOUN
fbem-193	18	63	was	be	AUX
fbem-193	18	64	used	use	VERB
fbem-193	18	65	to	to	PART
fbem-193	18	66	predict	predict	VERB
fbem-193	18	67	and	and	CCONJ
fbem-193	18	68	screen	screen	VERB
fbem-193	18	69	the	the	DET
fbem-193	18	70	compounds	compound	NOUN
fbem-193	18	71	with	with	ADP
fbem-193	18	72	high	high	ADJ
fbem-193	18	73	biological	biological	ADJ
fbem-193	18	74	activity	activity	NOUN
fbem-193	18	75	for	for	ADP
fbem-193	18	76	in	in	ADP
fbem-193	18	77	-	-	PUNCT
fbem-193	18	78	depth	depth	NOUN
fbem-193	18	79	research	research	NOUN
fbem-193	18	80	and	and	CCONJ
fbem-193	18	81	analysis	analysis	NOUN
fbem-193	18	82	.	.	PUNCT
fbem-193	19	1	qualified	qualified	ADJ
fbem-193	19	2	breast	breast	NOUN
fbem-193	19	3	cancer	cancer	NOUN
fbem-193	19	4	drugs	drug	NOUN
fbem-193	19	5	need	need	VERB
fbem-193	19	6	to	to	PART
fbem-193	19	7	meet	meet	VERB
fbem-193	19	8	the	the	DET
fbem-193	19	9	properties	property	NOUN
fbem-193	19	10	of	of	ADP
fbem-193	19	11	admet	admet	PROPN
fbem-193	19	12	(	(	PUNCT
fbem-193	19	13	absorption	absorption	NOUN
fbem-193	19	14	,	,	PUNCT
fbem-193	19	15	distribution	distribution	NOUN
fbem-193	19	16	,	,	PUNCT
fbem-193	19	17	metabolism	metabolism	NOUN
fbem-193	19	18	,	,	PUNCT
fbem-193	19	19	excretion	excretion	NOUN
fbem-193	19	20	,	,	PUNCT
fbem-193	19	21	toxicity	toxicity	NOUN
fbem-193	19	22	)	)	PUNCT
fbem-193	19	23	.	.	PUNCT
fbem-193	20	1	popularly	popularly	ADV
fbem-193	20	2	speaking	speak	VERB
fbem-193	20	3	,	,	PUNCT
fbem-193	20	4	it	it	PRON
fbem-193	20	5	is	be	AUX
fbem-193	20	6	necessary	necessary	ADJ
fbem-193	20	7	to	to	PART
fbem-193	20	8	have	have	VERB
fbem-193	20	9	good	good	ADJ
fbem-193	20	10	biological	biological	ADJ
fbem-193	20	11	activity	activity	NOUN
fbem-193	20	12	,	,	PUNCT
fbem-193	20	13	pharmacokinetic	pharmacokinetic	ADJ
fbem-193	20	14	properties	property	NOUN
fbem-193	20	15	,	,	PUNCT
fbem-193	20	16	and	and	CCONJ
fbem-193	20	17	safety	safety	NOUN
fbem-193	20	18	,	,	PUNCT
fbem-193	20	19	which	which	PRON
fbem-193	20	20	can	can	AUX
fbem-193	20	21	effectively	effectively	ADV
fbem-193	20	22	prevent	prevent	VERB
fbem-193	20	23	cancer	cancer	NOUN
fbem-193	20	24	at	at	ADP
fbem-193	20	25	a	a	DET
fbem-193	20	26	moderate	moderate	ADJ
fbem-193	20	27	metabolic	metabolic	NOUN
fbem-193	20	28	rate	rate	NOUN
fbem-193	20	29	without	without	ADP
fbem-193	20	30	toxic	toxic	ADJ
fbem-193	20	31	side	side	NOUN
fbem-193	20	32	effects	effect	NOUN
fbem-193	20	33	.	.	PUNCT
fbem-193	21	1	in	in	ADP
fbem-193	21	2	order	order	NOUN
fbem-193	21	3	to	to	PART
fbem-193	21	4	facilitate	facilitate	VERB
fbem-193	21	5	modeling	modeling	NOUN
fbem-193	21	6	,	,	PUNCT
fbem-193	21	7	only	only	ADV
fbem-193	21	8	five	five	NUM
fbem-193	21	9	admet	admet	NOUN
fbem-193	21	10	properties	property	NOUN
fbem-193	21	11	such	such	ADJ
fbem-193	21	12	as	as	ADP
fbem-193	21	13	intestinal	intestinal	ADJ
fbem-193	21	14	epithelial	epithelial	ADJ
fbem-193	21	15	cell	cell	NOUN
fbem-193	21	16	permeability	permeability	NOUN
fbem-193	21	17	(	(	PUNCT
fbem-193	21	18	caco-2	caco-2	NUM
fbem-193	21	19	)	)	PUNCT
fbem-193	21	20	,	,	PUNCT
fbem-193	21	21	cytochrome	cytochrome	NOUN
fbem-193	21	22	p450	p450	PROPN
fbem-193	21	23	(	(	PUNCT
fbem-193	21	24	cyp	cyp	ADJ
fbem-193	21	25	)	)	PUNCT
fbem-193	21	26	,	,	PUNCT
fbem-193	21	27	3a4	3a4	NUM
fbem-193	21	28	subtype	subtype	NOUN
fbem-193	21	29	(	(	PUNCT
fbem-193	21	30	cyp3a4	cyp3a4	NOUN
fbem-193	21	31	)	)	PUNCT
fbem-193	21	32	,	,	PUNCT
fbem-193	21	33	human	human	ADJ
fbem-193	21	34	ether	ether	NOUN
fbem-193	21	35	-	-	PUNCT
fbem-193	21	36	a	a	DET
fbem-193	21	37	-	-	PUNCT
fbem-193	21	38	go	go	NOUN
fbem-193	21	39	-	-	PUNCT
fbem-193	21	40	go	go	NOUN
fbem-193	21	41	related	related	ADJ
fbem-193	21	42	gene	gene	NOUN
fbem-193	21	43	(	(	PUNCT
fbem-193	21	44	herg	herg	PROPN
fbem-193	21	45	)	)	PUNCT
fbem-193	21	46	,	,	PUNCT
fbem-193	21	47	human	human	ADJ
fbem-193	21	48	oral	oral	ADJ
fbem-193	21	49	bioavailability	bioavailability	NOUN
fbem-193	21	50	(	(	PUNCT
fbem-193	21	51	hob	hob	NOUN
fbem-193	21	52	)	)	PUNCT
fbem-193	21	53	,	,	PUNCT
fbem-193	21	54	and	and	CCONJ
fbem-193	21	55	micronucleus	micronucleus	PROPN
fbem-193	21	56	test	test	NOUN
fbem-193	21	57	are	be	AUX
fbem-193	21	58	considered	consider	VERB
fbem-193	21	59	.	.	PUNCT
fbem-193	22	1	finally	finally	ADV
fbem-193	22	2	,	,	PUNCT
fbem-193	22	3	when	when	SCONJ
fbem-193	22	4	looking	look	VERB
fbem-193	22	5	for	for	ADP
fbem-193	22	6	the	the	DET
fbem-193	22	7	value	value	NOUN
fbem-193	22	8	range	range	NOUN
fbem-193	22	9	of	of	ADP
fbem-193	22	10	some	some	DET
fbem-193	22	11	molecular	molecular	ADJ
fbem-193	22	12	descriptors	descriptor	NOUN
fbem-193	22	13	,	,	PUNCT
fbem-193	22	14	the	the	DET
fbem-193	22	15	compounds	compound	NOUN
fbem-193	22	16	can	can	AUX
fbem-193	22	17	have	have	VERB
fbem-193	22	18	a	a	DET
fbem-193	22	19	better	well	ADJ
fbem-193	22	20	biological	biological	ADJ
fbem-193	22	21	activity	activity	NOUN
fbem-193	22	22	to	to	PART
fbem-193	22	23	inhibit	inhibit	VERB
fbem-193	22	24	erα	erα	ADJ
fbem-193	22	25	and	and	CCONJ
fbem-193	22	26	better	well	ADJ
fbem-193	22	27	admet	admet	NOUN
fbem-193	22	28	properties	property	NOUN
fbem-193	22	29	.	.	PUNCT
fbem-193	23	1	2	2	X
fbem-193	23	2	.	.	X
fbem-193	23	3	method	method	PROPN
fbem-193	23	4	2.1	2.1	NUM
fbem-193	23	5	.	.	PUNCT
fbem-193	24	1	data	datum	NOUN
fbem-193	24	2	preprocessing	preprocesse	VERB
fbem-193	24	3	the	the	DET
fbem-193	24	4	flow	flow	NOUN
fbem-193	24	5	chart	chart	NOUN
fbem-193	24	6	of	of	ADP
fbem-193	24	7	data	datum	NOUN
fbem-193	24	8	preprocessing	preprocessing	NOUN
fbem-193	24	9	is	be	AUX
fbem-193	24	10	shown	show	VERB
fbem-193	24	11	in	in	ADP
fbem-193	24	12	figure	figure	NOUN
fbem-193	24	13	1	1	NUM
fbem-193	24	14	.	.	PUNCT
fbem-193	25	1	in	in	ADP
fbem-193	25	2	this	this	DET
fbem-193	25	3	paper	paper	NOUN
fbem-193	25	4	,	,	PUNCT
fbem-193	25	5	the	the	DET
fbem-193	25	6	spearman	spearman	NOUN
fbem-193	25	7	method	method	NOUN
fbem-193	25	8	,	,	PUNCT
fbem-193	25	9	grey	grey	ADJ
fbem-193	25	10	correlation	correlation	NOUN
fbem-193	25	11	analysis	analysis	NOUN
fbem-193	25	12	method	method	NOUN
fbem-193	25	13	,	,	PUNCT
fbem-193	25	14	and	and	CCONJ
fbem-193	25	15	principal	principal	ADJ
fbem-193	25	16	component	component	NOUN
fbem-193	25	17	analysis	analysis	NOUN
fbem-193	25	18	method	method	NOUN
fbem-193	25	19	are	be	AUX
fbem-193	25	20	used	use	VERB
fbem-193	25	21	for	for	ADP
fbem-193	25	22	correlation	correlation	NOUN
fbem-193	25	23	analysis	analysis	NOUN
fbem-193	25	24	to	to	PART
fbem-193	25	25	preliminarily	preliminarily	ADV
fbem-193	25	26	observe	observe	VERB
fbem-193	25	27	the	the	DET
fbem-193	25	28	correlation	correlation	NOUN
fbem-193	25	29	between	between	ADP
fbem-193	25	30	each	each	DET
fbem-193	25	31	molecular	molecular	ADJ
fbem-193	25	32	descriptor	descriptor	NOUN
fbem-193	25	33	and	and	CCONJ
fbem-193	25	34	compound	compound	NOUN
fbem-193	25	35	activity	activity	NOUN
fbem-193	25	36	,	,	PUNCT
fbem-193	25	37	so	so	SCONJ
fbem-193	25	38	as	as	SCONJ
fbem-193	25	39	to	to	PART
fbem-193	25	40	provide	provide	VERB
fbem-193	25	41	a	a	DET
fbem-193	25	42	reference	reference	NOUN
fbem-193	25	43	for	for	ADP
fbem-193	25	44	future	future	ADJ
fbem-193	25	45	work	work	NOUN
fbem-193	25	46	;	;	PUNCT
fbem-193	25	47	in	in	ADP
fbem-193	25	48	order	order	NOUN
fbem-193	25	49	to	to	PART
fbem-193	25	50	make	make	VERB
fbem-193	25	51	efficient	efficient	ADJ
fbem-193	25	52	use	use	NOUN
fbem-193	25	53	of	of	ADP
fbem-193	25	54	the	the	DET
fbem-193	25	55	limited	limited	ADJ
fbem-193	25	56	data	datum	NOUN
fbem-193	25	57	,	,	PUNCT
fbem-193	25	58	this	this	DET
fbem-193	25	59	paper	paper	NOUN
fbem-193	25	60	uses	use	VERB
fbem-193	25	61	the	the	DET
fbem-193	25	62	cross	cross	ADJ
fbem-193	25	63	-	-	ADJ
fbem-193	25	64	validation	validation	ADJ
fbem-193	25	65	method	method	NOUN
fbem-193	25	66	to	to	PART
fbem-193	25	67	construct	construct	VERB
fbem-193	25	68	the	the	DET
fbem-193	25	69	training	training	NOUN
fbem-193	25	70	data	datum	NOUN
fbem-193	25	71	and	and	CCONJ
fbem-193	25	72	test	test	NOUN
fbem-193	25	73	data	datum	NOUN
fbem-193	25	74	,	,	PUNCT
fbem-193	25	75	uses	use	VERB
fbem-193	25	76	the	the	DET
fbem-193	25	77	lightgbm	lightgbm	ADJ
fbem-193	25	78	model	model	NOUN
fbem-193	25	79	training	training	NOUN
fbem-193	25	80	data	datum	NOUN
fbem-193	25	81	integrating	integrate	VERB
fbem-193	25	82	the	the	DET
fbem-193	25	83	tree	tree	NOUN
fbem-193	25	84	model	model	NOUN
fbem-193	25	85	and	and	CCONJ
fbem-193	25	86	l1	l1	PROPN
fbem-193	25	87	and	and	CCONJ
fbem-193	25	88	l2	l2	VERB
fbem-193	25	89	penalty	penalty	NOUN
fbem-193	25	90	values	value	NOUN
fbem-193	25	91	,	,	PUNCT
fbem-193	25	92	and	and	CCONJ
fbem-193	25	93	sorts	sort	VERB
fbem-193	25	94	the	the	DET
fbem-193	25	95	importance	importance	NOUN
fbem-193	25	96	of	of	ADP
fbem-193	25	97	the	the	DET
fbem-193	25	98	molecular	molecular	ADJ
fbem-193	25	99	descriptors	descriptor	NOUN
fbem-193	25	100	.	.	PUNCT
fbem-193	26	1	five	five	NUM
fbem-193	26	2	importance	importance	NOUN
fbem-193	26	3	ranking	rank	VERB
fbem-193	26	4	documents	document	NOUN
fbem-193	26	5	are	be	AUX
fbem-193	26	6	obtained	obtain	VERB
fbem-193	26	7	through	through	ADP
fbem-193	26	8	five	five	NUM
fbem-193	26	9	-	-	ADJ
fbem-193	26	10	fold	fold	ADJ
fbem-193	26	11	crossvalidation	crossvalidation	NOUN
fbem-193	26	12	,	,	PUNCT
fbem-193	26	13	and	and	CCONJ
fbem-193	26	14	the	the	DET
fbem-193	26	15	final	final	ADJ
fbem-193	26	16	correlation	correlation	NOUN
fbem-193	26	17	degree	degree	NOUN
fbem-193	26	18	is	be	AUX
fbem-193	26	19	obtained	obtain	VERB
fbem-193	26	20	by	by	ADP
fbem-193	26	21	weighted	weight	VERB
fbem-193	26	22	summation	summation	NOUN
fbem-193	26	23	of	of	ADP
fbem-193	26	24	five	five	NUM
fbem-193	26	25	correlation	correlation	NOUN
fbem-193	26	26	degrees	degree	NOUN
fbem-193	26	27	,	,	PUNCT
fbem-193	26	28	so	so	SCONJ
fbem-193	26	29	as	as	SCONJ
fbem-193	26	30	to	to	PART
fbem-193	26	31	obtain	obtain	VERB
fbem-193	26	32	the	the	DET
fbem-193	26	33	results	result	NOUN
fbem-193	26	34	of	of	ADP
fbem-193	26	35	statistical	statistical	ADJ
fbem-193	26	36	analysis	analysis	NOUN
fbem-193	26	37	.	.	PUNCT
fbem-193	27	1	51	51	NUM
fbem-193	27	2	start	start	PROPN
fbem-193	27	3	data	data	PROPN
fbem-193	27	4	clane	clane	PROPN
fbem-193	27	5	grey	grey	PROPN
fbem-193	27	6	analysis	analysis	NOUN
fbem-193	27	7	spearman	spearman	NOUN
fbem-193	27	8	importance	importance	NOUN
fbem-193	27	9	analysis	analysis	NOUN
fbem-193	27	10	characteristic	characteristic	ADJ
fbem-193	27	11	correlation	correlation	NOUN
fbem-193	27	12	importance	importance	NOUN
fbem-193	27	13	ranking	rank	VERB
fbem-193	27	14	obtain	obtain	ADJ
fbem-193	27	15	statistical	statistical	ADJ
fbem-193	27	16	analysis	analysis	NOUN
fbem-193	27	17	results	result	NOUN
fbem-193	27	18	end	end	VERB
fbem-193	27	19	figure	figure	NOUN
fbem-193	27	20	1	1	NUM
fbem-193	27	21	.	.	PUNCT
fbem-193	28	1	flow	flow	VERB
fbem-193	28	2	chart	chart	NOUN
fbem-193	28	3	of	of	ADP
fbem-193	28	4	data	datum	NOUN
fbem-193	28	5	preprocessing	preprocesse	VERB
fbem-193	28	6	2.1.1	2.1.1	NUM
fbem-193	28	7	.	.	PUNCT
fbem-193	29	1	lightgbm	lightgbm	ADJ
fbem-193	29	2	model	model	NOUN
fbem-193	29	3	integrating	integrate	VERB
fbem-193	29	4	tree	tree	NOUN
fbem-193	29	5	model	model	NOUN
fbem-193	29	6	with	with	ADP
fbem-193	29	7	l1	l1	PROPN
fbem-193	29	8	and	and	CCONJ
fbem-193	29	9	l2	l2	NOUN
fbem-193	29	10	penalty	penalty	NOUN
fbem-193	29	11	values	value	VERB
fbem-193	29	12	the	the	DET
fbem-193	29	13	main	main	ADJ
fbem-193	29	14	idea	idea	NOUN
fbem-193	29	15	of	of	ADP
fbem-193	29	16	lightgbm[4	lightgbm[4	PROPN
fbem-193	29	17	]	]	PUNCT
fbem-193	29	18	is	be	AUX
fbem-193	29	19	to	to	PART
fbem-193	29	20	use	use	VERB
fbem-193	29	21	a	a	DET
fbem-193	29	22	weak	weak	ADJ
fbem-193	29	23	classifier	classifier	NOUN
fbem-193	29	24	(	(	PUNCT
fbem-193	29	25	i.e.	i.e.	X
fbem-193	29	26	decision	decision	NOUN
fbem-193	29	27	tree	tree	NOUN
fbem-193	29	28	)	)	PUNCT
fbem-193	29	29	for	for	ADP
fbem-193	29	30	iterative	iterative	NOUN
fbem-193	29	31	training	training	NOUN
fbem-193	29	32	to	to	PART
fbem-193	29	33	obtain	obtain	VERB
fbem-193	29	34	the	the	DET
fbem-193	29	35	optimal	optimal	ADJ
fbem-193	29	36	model	model	NOUN
fbem-193	29	37	.	.	PUNCT
fbem-193	30	1	lightgbm	lightgbm	PROPN
fbem-193	30	2	supports	support	VERB
fbem-193	30	3	efficient	efficient	ADJ
fbem-193	30	4	parallel	parallel	ADJ
fbem-193	30	5	training	training	NOUN
fbem-193	30	6	and	and	CCONJ
fbem-193	30	7	has	have	VERB
fbem-193	30	8	faster	fast	ADJ
fbem-193	30	9	training	training	NOUN
fbem-193	30	10	speed	speed	NOUN
fbem-193	30	11	,	,	PUNCT
fbem-193	30	12	lower	low	ADJ
fbem-193	30	13	memory	memory	NOUN
fbem-193	30	14	consumption	consumption	NOUN
fbem-193	30	15	,	,	PUNCT
fbem-193	30	16	better	well	ADJ
fbem-193	30	17	accuracy	accuracy	NOUN
fbem-193	30	18	,	,	PUNCT
fbem-193	30	19	and	and	CCONJ
fbem-193	30	20	can	can	AUX
fbem-193	30	21	quickly	quickly	ADV
fbem-193	30	22	process	process	VERB
fbem-193	30	23	massive	massive	ADJ
fbem-193	30	24	data	datum	NOUN
fbem-193	30	25	.	.	PUNCT
fbem-193	31	1	its	its	PRON
fbem-193	31	2	principle	principle	NOUN
fbem-193	31	3	is	be	AUX
fbem-193	31	4	as	as	SCONJ
fbem-193	31	5	follows	follow	VERB
fbem-193	31	6	:	:	PUNCT
fbem-193	31	7	lightgbm	lightgbm	PROPN
fbem-193	31	8	takes	take	VERB
fbem-193	31	9	the	the	DET
fbem-193	31	10	cart	cart	NOUN
fbem-193	31	11	regression	regression	NOUN
fbem-193	31	12	tree	tree	NOUN
fbem-193	31	13	as	as	ADP
fbem-193	31	14	the	the	DET
fbem-193	31	15	decision	decision	NOUN
fbem-193	31	16	tree	tree	NOUN
fbem-193	31	17	and	and	CCONJ
fbem-193	31	18	introduces	introduce	NOUN
fbem-193	31	19	l1	l1	PROPN
fbem-193	31	20	and	and	CCONJ
fbem-193	31	21	l2	l2	NOUN
fbem-193	31	22	penalty	penalty	NOUN
fbem-193	31	23	coefficients	coefficient	NOUN
fbem-193	31	24	.	.	PUNCT
fbem-193	32	1	in	in	ADP
fbem-193	32	2	addition	addition	NOUN
fbem-193	32	3	to	to	ADP
fbem-193	32	4	screening	screen	VERB
fbem-193	32	5	the	the	DET
fbem-193	32	6	features	feature	NOUN
fbem-193	32	7	,	,	PUNCT
fbem-193	32	8	it	it	PRON
fbem-193	32	9	also	also	ADV
fbem-193	32	10	reduces	reduce	VERB
fbem-193	32	11	the	the	DET
fbem-193	32	12	dimension	dimension	NOUN
fbem-193	32	13	.	.	PUNCT
fbem-193	33	1	the	the	DET
fbem-193	33	2	specific	specific	ADJ
fbem-193	33	3	work	work	NOUN
fbem-193	33	4	steps	step	NOUN
fbem-193	33	5	are	be	AUX
fbem-193	33	6	as	as	SCONJ
fbem-193	33	7	follows	follow	VERB
fbem-193	33	8	:	:	PUNCT
fbem-193	33	9	as	as	SCONJ
fbem-193	33	10	shown	show	VERB
fbem-193	33	11	in	in	ADP
fbem-193	33	12	equation	equation	NOUN
fbem-193	33	13	(	(	PUNCT
fbem-193	33	14	1	1	NUM
fbem-193	33	15	)	)	PUNCT
fbem-193	33	16	,	,	PUNCT
fbem-193	33	17	first	first	ADV
fbem-193	33	18	initialize	initialize	VERB
fbem-193	33	19	the	the	DET
fbem-193	33	20	weak	weak	ADJ
fbem-193	33	21	learner	learner	NOUN
fbem-193	33	22	:	:	PUNCT
fbem-193	33	23	𝑓	𝑓	PRON
fbem-193	33	24	𝑥	𝑥	X
fbem-193	33	25	𝑎𝑟𝑔𝑚𝑖𝑛	𝑎𝑟𝑔𝑚𝑖𝑛	NOUN
fbem-193	33	26	∑	∑	PROPN
fbem-193	33	27	𝐿	𝐿	PROPN
fbem-193	33	28	𝑦	𝑦	PROPN
fbem-193	33	29	,	,	PUNCT
fbem-193	33	30	𝑐	𝑐	PROPN
fbem-193	33	31	(	(	PUNCT
fbem-193	33	32	1	1	NUM
fbem-193	33	33	)	)	PUNCT
fbem-193	33	34	for	for	ADP
fbem-193	33	35	𝑚	𝑚	NOUN
fbem-193	33	36	1,2	1,2	NUM
fbem-193	33	37	,	,	PUNCT
fbem-193	33	38	.	.	PUNCT
fbem-193	33	39	.	.	PUNCT
fbem-193	34	1	.	.	PUNCT
fbem-193	35	1	,	,	PUNCT
fbem-193	35	2	𝑀	𝑀	PROPN
fbem-193	35	3	,	,	PUNCT
fbem-193	35	4	calculate	calculate	VERB
fbem-193	35	5	the	the	DET
fbem-193	35	6	negative	negative	ADJ
fbem-193	35	7	gradient	gradient	NOUN
fbem-193	35	8	of	of	ADP
fbem-193	35	9	each	each	DET
fbem-193	35	10	sample	sample	NOUN
fbem-193	35	11	𝑖	𝑖	ADP
fbem-193	35	12	1,2	1,2	NUM
fbem-193	35	13	,	,	PUNCT
fbem-193	35	14	.	.	PUNCT
fbem-193	35	15	.	.	PUNCT
fbem-193	36	1	.	.	PUNCT
fbem-193	37	1	,	,	PUNCT
fbem-193	37	2	𝑁	𝑁	PROPN
fbem-193	37	3	according	accord	VERB
fbem-193	37	4	to	to	ADP
fbem-193	37	5	equation	equation	NOUN
fbem-193	37	6	(	(	PUNCT
fbem-193	37	7	2	2	NUM
fbem-193	37	8	)	)	PUNCT
fbem-193	37	9	,	,	PUNCT
fbem-193	37	10	i.e.	i.e.	X
fbem-193	37	11	residual	residual	ADJ
fbem-193	37	12	:	:	PUNCT
fbem-193	37	13	𝑟	𝑟	NOUN
fbem-193	37	14	,	,	PUNCT
fbem-193	37	15	(	(	PUNCT
fbem-193	37	16	2	2	X
fbem-193	37	17	)	)	PUNCT
fbem-193	37	18	take	take	VERB
fbem-193	37	19	the	the	DET
fbem-193	37	20	residual	residual	ADJ
fbem-193	37	21	obtained	obtain	VERB
fbem-193	37	22	in	in	ADP
fbem-193	37	23	the	the	DET
fbem-193	37	24	previous	previous	ADJ
fbem-193	37	25	step	step	NOUN
fbem-193	37	26	as	as	ADP
fbem-193	37	27	the	the	DET
fbem-193	37	28	new	new	ADJ
fbem-193	37	29	real	real	ADJ
fbem-193	37	30	value	value	NOUN
fbem-193	37	31	of	of	ADP
fbem-193	37	32	the	the	DET
fbem-193	37	33	sample	sample	NOUN
fbem-193	37	34	,	,	PUNCT
fbem-193	37	35	and	and	CCONJ
fbem-193	37	36	take	take	VERB
fbem-193	37	37	the	the	DET
fbem-193	37	38	data	datum	NOUN
fbem-193	37	39	(	(	PUNCT
fbem-193	37	40	xi，rim	xi，rim	PROPN
fbem-193	37	41	)	)	PUNCT
fbem-193	37	42	,	,	PUNCT
fbem-193	37	43	𝑖	𝑖	NOUN
fbem-193	37	44	1,2	1,2	NUM
fbem-193	37	45	,	,	PUNCT
fbem-193	37	46	.	.	PUNCT
fbem-193	37	47	.	.	PUNCT
fbem-193	38	1	.	.	PUNCT
fbem-193	39	1	,	,	PUNCT
fbem-193	39	2	𝑁	𝑁	PROPN
fbem-193	39	3	as	as	ADP
fbem-193	39	4	the	the	DET
fbem-193	39	5	training	training	NOUN
fbem-193	39	6	data	datum	NOUN
fbem-193	39	7	of	of	ADP
fbem-193	39	8	the	the	DET
fbem-193	39	9	next	next	ADJ
fbem-193	39	10	tree	tree	NOUN
fbem-193	39	11	to	to	PART
fbem-193	39	12	obtain	obtain	VERB
fbem-193	39	13	a	a	DET
fbem-193	39	14	new	new	ADJ
fbem-193	39	15	regression	regression	NOUN
fbem-193	39	16	tree	tree	NOUN
fbem-193	39	17	fm(x	fm(x	PUNCT
fbem-193	39	18	)	)	PUNCT
fbem-193	39	19	,	,	PUNCT
fbem-193	39	20	whose	whose	DET
fbem-193	39	21	corresponding	correspond	VERB
fbem-193	39	22	leaf	leaf	NOUN
fbem-193	39	23	node	node	ADJ
fbem-193	39	24	area	area	NOUN
fbem-193	39	25	is	be	AUX
fbem-193	39	26	rjm	rjm	NOUN
fbem-193	39	27	,	,	PUNCT
fbem-193	39	28	𝑗	𝑗	PROPN
fbem-193	39	29	1,2	1,2	NUM
fbem-193	39	30	,	,	PUNCT
fbem-193	39	31	.	.	PUNCT
fbem-193	39	32	.	.	PUNCT
fbem-193	40	1	.	.	PUNCT
fbem-193	41	1	,	,	PUNCT
fbem-193	41	2	𝐽	𝐽	PROPN
fbem-193	41	3	,	,	PUNCT
fbem-193	41	4	where	where	SCONJ
fbem-193	41	5	j	j	PROPN
fbem-193	41	6	is	be	AUX
fbem-193	41	7	the	the	DET
fbem-193	41	8	number	number	NOUN
fbem-193	41	9	of	of	ADP
fbem-193	41	10	leaf	leaf	NOUN
fbem-193	41	11	nodes	node	NOUN
fbem-193	41	12	of	of	ADP
fbem-193	41	13	regression	regression	NOUN
fbem-193	41	14	tree	tree	NOUN
fbem-193	41	15	t.	t.	PROPN
fbem-193	41	16	calculate	calculate	VERB
fbem-193	41	17	the	the	DET
fbem-193	41	18	best	well	ADV
fbem-193	41	19	fitting	fitting	ADJ
fbem-193	41	20	value	value	NOUN
fbem-193	41	21	for	for	ADP
fbem-193	41	22	the	the	DET
fbem-193	41	23	leaf	leaf	NOUN
fbem-193	41	24	area	area	NOUN
fbem-193	41	25	𝑗	𝑗	PROPN
fbem-193	41	26	1,2	1,2	NUM
fbem-193	41	27	,	,	PUNCT
fbem-193	41	28	.	.	PUNCT
fbem-193	41	29	.	.	PUNCT
fbem-193	42	1	.	.	PUNCT
fbem-193	43	1	,	,	PUNCT
fbem-193	43	2	𝐽	𝐽	PROPN
fbem-193	43	3	,	,	PUNCT
fbem-193	43	4	as	as	SCONJ
fbem-193	43	5	shown	show	VERB
fbem-193	43	6	in	in	ADP
fbem-193	43	7	formula	formula	NOUN
fbem-193	43	8	(	(	PUNCT
fbem-193	43	9	3	3	NUM
fbem-193	43	10	):	):	PUNCT
fbem-193	43	11	𝑟	𝑟	X
fbem-193	43	12	𝑎𝑟𝑔𝑚𝑖𝑛	𝑎𝑟𝑔𝑚𝑖𝑛	NOUN
fbem-193	43	13	∑	∑	PROPN
fbem-193	43	14	𝐿	𝐿	PROPN
fbem-193	43	15	𝑦	𝑦	PROPN
fbem-193	43	16	,	,	PUNCT
fbem-193	43	17	𝑓	𝑓	PRON
fbem-193	43	18	𝑥	𝑥	PROPN
fbem-193	43	19	𝑟∈	𝑟∈	NUM
fbem-193	43	20	(	(	PUNCT
fbem-193	43	21	3	3	NUM
fbem-193	43	22	)	)	PUNCT
fbem-193	43	23	then	then	ADV
fbem-193	43	24	update	update	VERB
fbem-193	43	25	the	the	DET
fbem-193	43	26	strong	strong	ADJ
fbem-193	43	27	learner	learner	NOUN
fbem-193	43	28	,	,	PUNCT
fbem-193	43	29	as	as	SCONJ
fbem-193	43	30	shown	show	VERB
fbem-193	43	31	in	in	ADP
fbem-193	43	32	equation	equation	NOUN
fbem-193	43	33	(	(	PUNCT
fbem-193	43	34	4	4	NUM
fbem-193	43	35	):	):	PUNCT
fbem-193	43	36	𝑓	𝑓	PRON
fbem-193	43	37	𝑥	𝑥	X
fbem-193	43	38	𝑓	𝑓	PRON
fbem-193	43	39	𝑥	𝑥	X
fbem-193	43	40	∑	∑	PUNCT
fbem-193	43	41	𝑟	𝑟	NOUN
fbem-193	43	42	𝐼	𝐼	ADP
fbem-193	43	43	𝑥	𝑥	PRON
fbem-193	43	44	∈	∈	PROPN
fbem-193	43	45	𝑅	𝑅	PROPN
fbem-193	43	46	(	(	PUNCT
fbem-193	43	47	4	4	NUM
fbem-193	43	48	)	)	PUNCT
fbem-193	43	49	finally	finally	ADV
fbem-193	43	50	,	,	PUNCT
fbem-193	43	51	the	the	DET
fbem-193	43	52	final	final	ADJ
fbem-193	43	53	learner	learner	NOUN
fbem-193	43	54	is	be	AUX
fbem-193	43	55	obtained	obtain	VERB
fbem-193	43	56	,	,	PUNCT
fbem-193	43	57	as	as	SCONJ
fbem-193	43	58	shown	show	VERB
fbem-193	43	59	in	in	ADP
fbem-193	43	60	equation	equation	NOUN
fbem-193	43	61	(	(	PUNCT
fbem-193	43	62	5	5	NUM
fbem-193	43	63	):	):	PUNCT
fbem-193	43	64	𝑓	𝑓	PRON
fbem-193	43	65	𝑥	𝑥	X
fbem-193	43	66	𝑓	𝑓	PRON
fbem-193	43	67	𝑥	𝑥	X
fbem-193	43	68	𝑓	𝑓	PRON
fbem-193	43	69	𝑥	𝑥	X
fbem-193	43	70	∑	∑	PUNCT
fbem-193	43	71	∑	∑	PROPN
fbem-193	43	72	𝑟	𝑟	NOUN
fbem-193	43	73	𝐼	𝐼	ADP
fbem-193	43	74	𝑥	𝑥	PRON
fbem-193	43	75	∈	∈	PROPN
fbem-193	43	76	𝑅	𝑅	PROPN
fbem-193	43	77	(	(	PUNCT
fbem-193	43	78	5	5	NUM
fbem-193	43	79	)	)	PUNCT
fbem-193	43	80	2.1.2	2.1.2	NUM
fbem-193	43	81	.	.	PUNCT
fbem-193	43	82	grey	grey	ADJ
fbem-193	43	83	correlation	correlation	NOUN
fbem-193	43	84	analysis	analysis	NOUN
fbem-193	43	85	grey	grey	ADJ
fbem-193	43	86	correlation	correlation	NOUN
fbem-193	43	87	analysis	analysis	NOUN
fbem-193	43	88	is	be	AUX
fbem-193	43	89	a	a	DET
fbem-193	43	90	method	method	NOUN
fbem-193	43	91	to	to	PART
fbem-193	43	92	measure	measure	VERB
fbem-193	43	93	the	the	DET
fbem-193	43	94	degree	degree	NOUN
fbem-193	43	95	of	of	ADP
fbem-193	43	96	correlation	correlation	NOUN
fbem-193	43	97	between	between	ADP
fbem-193	43	98	factors	factor	NOUN
fbem-193	43	99	according	accord	VERB
fbem-193	43	100	to	to	ADP
fbem-193	43	101	the	the	DET
fbem-193	43	102	degree	degree	NOUN
fbem-193	43	103	of	of	ADP
fbem-193	43	104	similarity	similarity	NOUN
fbem-193	43	105	or	or	CCONJ
fbem-193	43	106	difference	difference	NOUN
fbem-193	43	107	in	in	ADP
fbem-193	43	108	the	the	DET
fbem-193	43	109	development	development	NOUN
fbem-193	43	110	trend	trend	NOUN
fbem-193	43	111	between	between	ADP
fbem-193	43	112	factors	factor	NOUN
fbem-193	43	113	,	,	PUNCT
fbem-193	43	114	that	that	ADV
fbem-193	43	115	is	is	ADV
fbem-193	43	116	,	,	PUNCT
fbem-193	43	117	"	"	PUNCT
fbem-193	43	118	grey	grey	ADJ
fbem-193	43	119	correlation	correlation	NOUN
fbem-193	43	120	degree	degree	NOUN
fbem-193	43	121	"	"	PUNCT
fbem-193	43	122	.	.	PUNCT
fbem-193	44	1	the	the	DET
fbem-193	44	2	specific	specific	ADJ
fbem-193	44	3	steps	step	NOUN
fbem-193	44	4	are	be	AUX
fbem-193	44	5	as	as	SCONJ
fbem-193	44	6	follows	follow	VERB
fbem-193	44	7	:	:	PUNCT
fbem-193	44	8	determine	determine	VERB
fbem-193	44	9	the	the	DET
fbem-193	44	10	reference	reference	NOUN
fbem-193	44	11	sequence	sequence	NOUN
fbem-193	44	12	reflecting	reflect	VERB
fbem-193	44	13	the	the	DET
fbem-193	44	14	characteristics	characteristic	NOUN
fbem-193	44	15	of	of	ADP
fbem-193	44	16	system	system	NOUN
fbem-193	44	17	behavior	behavior	NOUN
fbem-193	44	18	and	and	CCONJ
fbem-193	44	19	the	the	DET
fbem-193	44	20	comparison	comparison	NOUN
fbem-193	44	21	sequence	sequence	NOUN
fbem-193	44	22	affecting	affect	VERB
fbem-193	44	23	system	system	NOUN
fbem-193	44	24	behavior	behavior	NOUN
fbem-193	44	25	.	.	PUNCT
fbem-193	45	1	the	the	DET
fbem-193	45	2	data	data	NOUN
fbem-193	45	3	sequence	sequence	NOUN
fbem-193	45	4	reflecting	reflect	VERB
fbem-193	45	5	the	the	DET
fbem-193	45	6	behavior	behavior	NOUN
fbem-193	45	7	characteristics	characteristic	NOUN
fbem-193	45	8	of	of	ADP
fbem-193	45	9	the	the	DET
fbem-193	45	10	system	system	NOUN
fbem-193	45	11	is	be	AUX
fbem-193	45	12	called	call	VERB
fbem-193	45	13	the	the	DET
fbem-193	45	14	reference	reference	NOUN
fbem-193	45	15	sequence	sequence	NOUN
fbem-193	45	16	.	.	PUNCT
fbem-193	46	1	the	the	DET
fbem-193	46	2	data	data	NOUN
fbem-193	46	3	sequence	sequence	NOUN
fbem-193	46	4	composed	compose	VERB
fbem-193	46	5	of	of	ADP
fbem-193	46	6	factors	factor	NOUN
fbem-193	46	7	affecting	affect	VERB
fbem-193	46	8	system	system	NOUN
fbem-193	46	9	behavior	behavior	NOUN
fbem-193	46	10	is	be	AUX
fbem-193	46	11	called	call	VERB
fbem-193	46	12	comparison	comparison	NOUN
fbem-193	46	13	sequence	sequence	NOUN
fbem-193	46	14	.	.	PUNCT
fbem-193	47	1	the	the	DET
fbem-193	47	2	reference	reference	NOUN
fbem-193	47	3	sequence	sequence	NOUN
fbem-193	47	4	and	and	CCONJ
fbem-193	47	5	comparison	comparison	NOUN
fbem-193	47	6	sequence	sequence	NOUN
fbem-193	47	7	are	be	AUX
fbem-193	47	8	dimensionless	dimensionless	NOUN
fbem-193	47	9	.	.	PUNCT
fbem-193	48	1	due	due	ADP
fbem-193	48	2	to	to	ADP
fbem-193	48	3	the	the	DET
fbem-193	48	4	different	different	ADJ
fbem-193	48	5	physical	physical	ADJ
fbem-193	48	6	meanings	meaning	NOUN
fbem-193	48	7	of	of	ADP
fbem-193	48	8	various	various	ADJ
fbem-193	48	9	factors	factor	NOUN
fbem-193	48	10	in	in	ADP
fbem-193	48	11	the	the	DET
fbem-193	48	12	system	system	NOUN
fbem-193	48	13	,	,	PUNCT
fbem-193	48	14	the	the	DET
fbem-193	48	15	dimensions	dimension	NOUN
fbem-193	48	16	of	of	ADP
fbem-193	48	17	the	the	DET
fbem-193	48	18	data	datum	NOUN
fbem-193	48	19	are	be	AUX
fbem-193	48	20	not	not	PART
fbem-193	48	21	necessarily	necessarily	ADV
fbem-193	48	22	the	the	DET
fbem-193	48	23	same	same	ADJ
fbem-193	48	24	,	,	PUNCT
fbem-193	48	25	which	which	PRON
fbem-193	48	26	is	be	AUX
fbem-193	48	27	not	not	PART
fbem-193	48	28	convenient	convenient	ADJ
fbem-193	48	29	for	for	ADP
fbem-193	48	30	comparison	comparison	NOUN
fbem-193	48	31	,	,	PUNCT
fbem-193	48	32	or	or	CCONJ
fbem-193	48	33	it	it	PRON
fbem-193	48	34	is	be	AUX
fbem-193	48	35	difficult	difficult	ADJ
fbem-193	48	36	to	to	PART
fbem-193	48	37	get	get	VERB
fbem-193	48	38	a	a	DET
fbem-193	48	39	correct	correct	ADJ
fbem-193	48	40	conclusion	conclusion	NOUN
fbem-193	48	41	during	during	ADP
fbem-193	48	42	comparison	comparison	NOUN
fbem-193	48	43	.	.	PUNCT
fbem-193	49	1	therefore	therefore	ADV
fbem-193	49	2	,	,	PUNCT
fbem-193	49	3	dimensionless	dimensionless	ADJ
fbem-193	49	4	data	datum	NOUN
fbem-193	49	5	processing	processing	NOUN
fbem-193	49	6	is	be	AUX
fbem-193	49	7	generally	generally	ADV
fbem-193	49	8	necessary	necessary	ADJ
fbem-193	49	9	for	for	ADP
fbem-193	49	10	grey	grey	ADJ
fbem-193	49	11	correlation	correlation	NOUN
fbem-193	49	12	analysis	analysis	NOUN
fbem-193	49	13	.	.	PUNCT
fbem-193	50	1	find	find	VERB
fbem-193	50	2	the	the	DET
fbem-193	50	3	grey	grey	ADJ
fbem-193	50	4	correlation	correlation	NOUN
fbem-193	50	5	coefficient	coefficient	NOUN
fbem-193	50	6	between	between	ADP
fbem-193	50	7	reference	reference	NOUN
fbem-193	50	8	sequence	sequence	NOUN
fbem-193	50	9	and	and	CCONJ
fbem-193	50	10	comparison	comparison	NOUN
fbem-193	50	11	sequence	sequence	NOUN
fbem-193	50	12	𝜁	𝜁	PROPN
fbem-193	50	13	.	.	PUNCT
fbem-193	51	1	the	the	DET
fbem-193	51	2	so	so	ADV
fbem-193	51	3	-	-	PUNCT
fbem-193	51	4	called	call	VERB
fbem-193	51	5	correlation	correlation	NOUN
fbem-193	51	6	degree	degree	NOUN
fbem-193	51	7	is	be	AUX
fbem-193	51	8	essentially	essentially	ADV
fbem-193	51	9	the	the	DET
fbem-193	51	10	difference	difference	NOUN
fbem-193	51	11	degree	degree	NOUN
fbem-193	51	12	of	of	ADP
fbem-193	51	13	geometry	geometry	NOUN
fbem-193	51	14	between	between	ADP
fbem-193	51	15	curves	curve	NOUN
fbem-193	51	16	.	.	PUNCT
fbem-193	52	1	therefore	therefore	ADV
fbem-193	52	2	,	,	PUNCT
fbem-193	52	3	the	the	DET
fbem-193	52	4	difference	difference	NOUN
fbem-193	52	5	between	between	ADP
fbem-193	52	6	curves	curve	NOUN
fbem-193	52	7	can	can	AUX
fbem-193	52	8	be	be	AUX
fbem-193	52	9	used	use	VERB
fbem-193	52	10	as	as	ADP
fbem-193	52	11	a	a	DET
fbem-193	52	12	measure	measure	NOUN
fbem-193	52	13	of	of	ADP
fbem-193	52	14	correlation	correlation	NOUN
fbem-193	52	15	degree	degree	NOUN
fbem-193	52	16	.	.	PUNCT
fbem-193	53	1	for	for	ADP
fbem-193	53	2	a	a	DET
fbem-193	53	3	reference	reference	NOUN
fbem-193	53	4	sequence	sequence	NOUN
fbem-193	53	5	x0	x0	PROPN
fbem-193	53	6	,	,	PUNCT
fbem-193	53	7	there	there	PRON
fbem-193	53	8	are	be	VERB
fbem-193	53	9	several	several	ADJ
fbem-193	53	10	comparison	comparison	NOUN
fbem-193	53	11	sequences	sequence	NOUN
fbem-193	53	12	nxxx	nxxx	ADV
fbem-193	53	13	,	,	PUNCT
fbem-193	53	14	...	...	PUNCT
fbem-193	53	15	,	,	PUNCT
fbem-193	53	16	,	,	PUNCT
fbem-193	53	17	21	21	NUM
fbem-193	53	18	,	,	PUNCT
fbem-193	53	19	and	and	CCONJ
fbem-193	53	20	the	the	DET
fbem-193	53	21	correlation	correlation	NOUN
fbem-193	53	22	coefficient	coefficient	NOUN
fbem-193	53	23	between	between	ADP
fbem-193	53	24	each	each	DET
fbem-193	53	25	comparison	comparison	NOUN
fbem-193	53	26	sequence	sequence	NOUN
fbem-193	53	27	and	and	CCONJ
fbem-193	53	28	the	the	DET
fbem-193	53	29	reference	reference	NOUN
fbem-193	53	30	sequence	sequence	NOUN
fbem-193	53	31	at	at	ADP
fbem-193	53	32	each	each	DET
fbem-193	53	33	time	time	NOUN
fbem-193	53	34	(	(	PUNCT
fbem-193	53	35	i.e.	i.e.	X
fbem-193	53	36	each	each	DET
fbem-193	53	37	point	point	NOUN
fbem-193	53	38	in	in	ADP
fbem-193	53	39	the	the	DET
fbem-193	53	40	curve	curve	NOUN
fbem-193	53	41	)	)	PUNCT
fbem-193	53	42	𝜁	𝜁	PROPN
fbem-193	53	43	can	can	AUX
fbem-193	53	44	be	be	AUX
fbem-193	53	45	calculated	calculate	VERB
fbem-193	53	46	by	by	ADP
fbem-193	53	47	the	the	DET
fbem-193	53	48	following	follow	VERB
fbem-193	53	49	formula	formula	NOUN
fbem-193	53	50	:	:	PUNCT
fbem-193	53	51	𝜌	𝜌	SCONJ
fbem-193	53	52	the	the	DET
fbem-193	53	53	resolution	resolution	NOUN
fbem-193	53	54	coefficient	coefficient	NOUN
fbem-193	53	55	is	be	AUX
fbem-193	53	56	generally	generally	ADV
fbem-193	53	57	between	between	ADP
fbem-193	53	58	0	0	NUM
fbem-193	53	59	and	and	CCONJ
fbem-193	53	60	1	1	NUM
fbem-193	53	61	,	,	PUNCT
fbem-193	53	62	usually	usually	ADV
fbem-193	53	63	0.5	0.5	NUM
fbem-193	53	64	.	.	PUNCT
fbem-193	54	1	𝛥	𝛥	PROPN
fbem-193	54	2	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
fbem-193	54	3	is	be	AUX
fbem-193	54	4	the	the	DET
fbem-193	54	5	second	second	ADJ
fbem-193	54	6	level	level	NOUN
fbem-193	54	7	minimum	minimum	NOUN
fbem-193	54	8	difference	difference	NOUN
fbem-193	54	9	,	,	PUNCT
fbem-193	54	10	𝛥	𝛥	PRON
fbem-193	54	11	𝑚𝑎𝑥	𝑚𝑎𝑥	NOUN
fbem-193	54	12	is	be	AUX
fbem-193	54	13	the	the	DET
fbem-193	54	14	maximum	maximum	ADJ
fbem-193	54	15	difference	difference	NOUN
fbem-193	54	16	between	between	ADP
fbem-193	54	17	two	two	NUM
fbem-193	54	18	levels	level	NOUN
fbem-193	54	19	.	.	PUNCT
fbem-193	55	1	the	the	DET
fbem-193	55	2	absolute	absolute	ADJ
fbem-193	55	3	difference	difference	NOUN
fbem-193	55	4	between	between	ADP
fbem-193	55	5	each	each	DET
fbem-193	55	6	point	point	NOUN
fbem-193	55	7	on	on	ADP
fbem-193	55	8	the	the	DET
fbem-193	55	9	curve	curve	NOUN
fbem-193	55	10	of	of	ADP
fbem-193	55	11	the	the	DET
fbem-193	55	12	comparison	comparison	NOUN
fbem-193	55	13	sequence	sequence	NOUN
fbem-193	55	14	𝑋	𝑋	NOUN
fbem-193	55	15	and	and	CCONJ
fbem-193	55	16	each	each	DET
fbem-193	55	17	point	point	NOUN
fbem-193	55	18	on	on	ADP
fbem-193	55	19	the	the	DET
fbem-193	55	20	curve	curve	NOUN
fbem-193	55	21	of	of	ADP
fbem-193	55	22	the	the	DET
fbem-193	55	23	reference	reference	NOUN
fbem-193	55	24	sequence	sequence	NOUN
fbem-193	55	25	𝑋	𝑋	PROPN
fbem-193	55	26	is	be	AUX
fbem-193	55	27	recorded	record	VERB
fbem-193	55	28	as	as	ADP
fbem-193	55	29	𝛥	𝛥	PROPN
fbem-193	55	30	𝑘	𝑘	PROPN
fbem-193	55	31	。	。	PUNCT
fbem-193	55	32	so	so	CCONJ
fbem-193	55	33	correlation	correlation	NOUN
fbem-193	55	34	coefficient	coefficient	NOUN
fbem-193	55	35	𝜁	𝜁	PROPN
fbem-193	55	36	can	can	AUX
fbem-193	55	37	also	also	ADV
fbem-193	55	38	be	be	AUX
fbem-193	55	39	simplified	simplify	VERB
fbem-193	55	40	as	as	ADP
fbem-193	55	41	equation	equation	NOUN
fbem-193	55	42	(	(	PUNCT
fbem-193	55	43	6	6	NUM
fbem-193	55	44	):	):	PUNCT
fbem-193	55	45	𝜁	𝜁	PROPN
fbem-193	55	46	(	(	PUNCT
fbem-193	55	47	6	6	NUM
fbem-193	55	48	)	)	PUNCT
fbem-193	55	49	calculate	calculate	VERB
fbem-193	55	50	the	the	DET
fbem-193	55	51	correlation	correlation	NOUN
fbem-193	55	52	degree	degree	NOUN
fbem-193	55	53	.	.	PUNCT
fbem-193	56	1	because	because	SCONJ
fbem-193	56	2	the	the	DET
fbem-193	56	3	correlation	correlation	NOUN
fbem-193	56	4	coefficient	coefficient	NOUN
fbem-193	56	5	is	be	AUX
fbem-193	56	6	the	the	DET
fbem-193	56	7	correlation	correlation	NOUN
fbem-193	56	8	degree	degree	NOUN
fbem-193	56	9	value	value	NOUN
fbem-193	56	10	of	of	ADP
fbem-193	56	11	the	the	DET
fbem-193	56	12	comparison	comparison	NOUN
fbem-193	56	13	series	series	NOUN
fbem-193	56	14	and	and	CCONJ
fbem-193	56	15	the	the	DET
fbem-193	56	16	reference	reference	NOUN
fbem-193	56	17	series	series	NOUN
fbem-193	56	18	at	at	ADP
fbem-193	56	19	each	each	DET
fbem-193	56	20	time	time	NOUN
fbem-193	56	21	(	(	PUNCT
fbem-193	56	22	i.e.	i.e.	X
fbem-193	56	23	each	each	DET
fbem-193	56	24	point	point	NOUN
fbem-193	56	25	in	in	ADP
fbem-193	56	26	the	the	DET
fbem-193	56	27	curve	curve	NOUN
fbem-193	56	28	)	)	PUNCT
fbem-193	56	29	,	,	PUNCT
fbem-193	56	30	it	it	PRON
fbem-193	56	31	has	have	VERB
fbem-193	56	32	more	more	ADJ
fbem-193	56	33	than	than	ADP
fbem-193	56	34	one	one	NUM
fbem-193	56	35	number	number	NOUN
fbem-193	56	36	,	,	PUNCT
fbem-193	56	37	and	and	CCONJ
fbem-193	56	38	the	the	DET
fbem-193	56	39	information	information	NOUN
fbem-193	56	40	is	be	AUX
fbem-193	56	41	too	too	ADV
fbem-193	56	42	scattered	scatter	VERB
fbem-193	56	43	to	to	PART
fbem-193	56	44	facilitate	facilitate	VERB
fbem-193	56	45	the	the	DET
fbem-193	56	46	overall	overall	ADJ
fbem-193	56	47	comparison	comparison	NOUN
fbem-193	56	48	.	.	PUNCT
fbem-193	57	1	therefore	therefore	ADV
fbem-193	57	2	,	,	PUNCT
fbem-193	57	3	it	it	PRON
fbem-193	57	4	is	be	AUX
fbem-193	57	5	necessary	necessary	ADJ
fbem-193	57	6	to	to	PART
fbem-193	57	7	concentrate	concentrate	VERB
fbem-193	57	8	the	the	DET
fbem-193	57	9	correlation	correlation	NOUN
fbem-193	57	10	coefficient	coefficient	NOUN
fbem-193	57	11	of	of	ADP
fbem-193	57	12	each	each	DET
fbem-193	57	13	time	time	NOUN
fbem-193	57	14	(	(	PUNCT
fbem-193	57	15	i.e.	i.e.	X
fbem-193	57	16	each	each	DET
fbem-193	57	17	point	point	NOUN
fbem-193	57	18	in	in	ADP
fbem-193	57	19	the	the	DET
fbem-193	57	20	curve	curve	NOUN
fbem-193	57	21	)	)	PUNCT
fbem-193	57	22	into	into	ADP
fbem-193	57	23	one	one	NUM
fbem-193	57	24	value	value	NOUN
fbem-193	57	25	,	,	PUNCT
fbem-193	57	26	that	that	ADV
fbem-193	57	27	is	is	ADV
fbem-193	57	28	,	,	PUNCT
fbem-193	57	29	calculate	calculate	VERB
fbem-193	57	30	its	its	PRON
fbem-193	57	31	average	average	ADJ
fbem-193	57	32	value	value	NOUN
fbem-193	57	33	as	as	ADP
fbem-193	57	34	the	the	DET
fbem-193	57	35	quantitative	quantitative	ADJ
fbem-193	57	36	expression	expression	NOUN
fbem-193	57	37	of	of	ADP
fbem-193	57	38	the	the	DET
fbem-193	57	39	correlation	correlation	NOUN
fbem-193	57	40	degree	degree	NOUN
fbem-193	57	41	between	between	ADP
fbem-193	57	42	the	the	DET
fbem-193	57	43	comparison	comparison	NOUN
fbem-193	57	44	series	series	NOUN
fbem-193	57	45	and	and	CCONJ
fbem-193	57	46	the	the	DET
fbem-193	57	47	reference	reference	NOUN
fbem-193	57	48	series	series	NOUN
fbem-193	57	49	.	.	PUNCT
fbem-193	58	1	the	the	DET
fbem-193	58	2	correlation	correlation	NOUN
fbem-193	58	3	degree	degree	NOUN
fbem-193	58	4	formula	formula	NOUN
fbem-193	58	5	is	be	AUX
fbem-193	58	6	as	as	SCONJ
fbem-193	58	7	follows	follow	VERB
fbem-193	58	8	(	(	PUNCT
fbem-193	58	9	7	7	NUM
fbem-193	58	10	):	):	PUNCT
fbem-193	58	11	𝑟	𝑟	NOUN
fbem-193	58	12	∑	∑	PUNCT
fbem-193	58	13	𝜁	𝜁	PROPN
fbem-193	58	14	𝑘	𝑘	X
fbem-193	58	15	(	(	PUNCT
fbem-193	58	16	7	7	NUM
fbem-193	58	17	)	)	PUNCT
fbem-193	58	18	𝑟	𝑟	NOUN
fbem-193	58	19	is	be	AUX
fbem-193	58	20	the	the	DET
fbem-193	58	21	grey	grey	ADJ
fbem-193	58	22	correlation	correlation	NOUN
fbem-193	58	23	degree	degree	NOUN
fbem-193	58	24	of	of	ADP
fbem-193	58	25	the	the	DET
fbem-193	58	26	comparison	comparison	NOUN
fbem-193	58	27	sequence	sequence	NOUN
fbem-193	58	28	xi	xi	INTJ
fbem-193	58	29	to	to	ADP
fbem-193	58	30	the	the	DET
fbem-193	58	31	reference	reference	NOUN
fbem-193	58	32	sequence	sequence	NOUN
fbem-193	58	33	𝑋	𝑋	NOUN
fbem-193	58	34	,	,	PUNCT
fbem-193	58	35	or	or	CCONJ
fbem-193	58	36	called	call	VERB
fbem-193	58	37	sequence	sequence	NOUN
fbem-193	58	38	correlation	correlation	NOUN
fbem-193	58	39	degree	degree	NOUN
fbem-193	58	40	,	,	PUNCT
fbem-193	58	41	average	average	ADJ
fbem-193	58	42	correlation	correlation	NOUN
fbem-193	58	43	degree	degree	NOUN
fbem-193	58	44	and	and	CCONJ
fbem-193	58	45	line	line	NOUN
fbem-193	58	46	correlation	correlation	NOUN
fbem-193	58	47	degree	degree	NOUN
fbem-193	58	48	.	.	PUNCT
fbem-193	59	1	the	the	PRON
fbem-193	59	2	closer	close	ADJ
fbem-193	59	3	the	the	DET
fbem-193	59	4	𝑟	𝑟	PRON
fbem-193	59	5	value	value	NOUN
fbem-193	59	6	is	be	AUX
fbem-193	59	7	to	to	ADP
fbem-193	59	8	1	1	NUM
fbem-193	59	9	,	,	PUNCT
fbem-193	59	10	the	the	PRON
fbem-193	59	11	better	well	ADJ
fbem-193	59	12	the	the	DET
fbem-193	59	13	correlation	correlation	NOUN
fbem-193	59	14	.	.	PUNCT
fbem-193	60	1	relevance	relevance	NOUN
fbem-193	60	2	ranking	ranking	NOUN
fbem-193	60	3	.	.	PUNCT
fbem-193	61	1	the	the	DET
fbem-193	61	2	correlation	correlation	NOUN
fbem-193	61	3	degree	degree	NOUN
fbem-193	61	4	between	between	ADP
fbem-193	61	5	factors	factor	NOUN
fbem-193	61	6	is	be	AUX
fbem-193	61	7	mainly	mainly	ADV
fbem-193	61	8	described	describe	VERB
fbem-193	61	9	by	by	ADP
fbem-193	61	10	the	the	DET
fbem-193	61	11	order	order	NOUN
fbem-193	61	12	of	of	ADP
fbem-193	61	13	correlation	correlation	NOUN
fbem-193	61	14	degree	degree	NOUN
fbem-193	61	15	,	,	PUNCT
fbem-193	61	16	not	not	PART
fbem-193	61	17	only	only	ADV
fbem-193	61	18	the	the	DET
fbem-193	61	19	size	size	NOUN
fbem-193	61	20	of	of	ADP
fbem-193	61	21	correlation	correlation	NOUN
fbem-193	61	22	degree	degree	NOUN
fbem-193	61	23	.	.	PUNCT
fbem-193	62	1	the	the	DET
fbem-193	62	2	correlation	correlation	NOUN
fbem-193	62	3	degree	degree	NOUN
fbem-193	62	4	of	of	ADP
fbem-193	62	5	m	m	PROPN
fbem-193	62	6	subsequences	subsequence	NOUN
fbem-193	62	7	to	to	ADP
fbem-193	62	8	the	the	DET
fbem-193	62	9	same	same	ADJ
fbem-193	62	10	parent	parent	NOUN
fbem-193	62	11	sequence	sequence	NOUN
fbem-193	62	12	is	be	AUX
fbem-193	62	13	arranged	arrange	VERB
fbem-193	62	14	in	in	ADP
fbem-193	62	15	order	order	NOUN
fbem-193	62	16	of	of	ADP
fbem-193	62	17	magnitude	magnitude	NOUN
fbem-193	62	18	to	to	PART
fbem-193	62	19	form	form	VERB
fbem-193	62	20	the	the	DET
fbem-193	62	21	correlation	correlation	NOUN
fbem-193	62	22	order	order	NOUN
fbem-193	62	23	,	,	PUNCT
fbem-193	62	24	which	which	PRON
fbem-193	62	25	is	be	AUX
fbem-193	62	26	52	52	NUM
fbem-193	62	27	recorded	record	VERB
fbem-193	62	28	as	as	ADP
fbem-193	62	29	}	}	PUNCT
fbem-193	62	30	{	{	PUNCT
fbem-193	62	31	x	x	NOUN
fbem-193	62	32	,	,	PUNCT
fbem-193	62	33	which	which	PRON
fbem-193	62	34	reflects	reflect	VERB
fbem-193	62	35	the	the	DET
fbem-193	62	36	"	"	PUNCT
fbem-193	62	37	good	good	ADJ
fbem-193	62	38	and	and	CCONJ
fbem-193	62	39	bad	bad	ADJ
fbem-193	62	40	"	"	PUNCT
fbem-193	62	41	relationship	relationship	NOUN
fbem-193	62	42	of	of	ADP
fbem-193	62	43	each	each	DET
fbem-193	62	44	subsequence	subsequence	NOUN
fbem-193	62	45	to	to	ADP
fbem-193	62	46	the	the	DET
fbem-193	62	47	parent	parent	NOUN
fbem-193	62	48	sequence	sequence	NOUN
fbem-193	62	49	.	.	PUNCT
fbem-193	63	1	if	if	SCONJ
fbem-193	63	2	ji	ji	PROPN
fbem-193	63	3	rr	rr	VERB
fbem-193	63	4	00	00	PUNCT
fbem-193	64	1			INTJ
fbem-193	64	2	,	,	PUNCT
fbem-193	64	3	}	}	PUNCT
fbem-193	64	4	{	{	PUNCT
fbem-193	64	5	ix	ix	ADV
fbem-193	64	6	is	be	AUX
fbem-193	64	7	said	say	VERB
fbem-193	64	8	to	to	PART
fbem-193	64	9	be	be	AUX
fbem-193	64	10	better	well	ADJ
fbem-193	64	11	than	than	ADP
fbem-193	64	12	}	}	PUNCT
fbem-193	64	13	{	{	PUNCT
fbem-193	64	14	jx	jx	NOUN
fbem-193	64	15	for	for	ADP
fbem-193	64	16	the	the	DET
fbem-193	64	17	same	same	ADJ
fbem-193	64	18	parent	parent	NOUN
fbem-193	64	19	sequence	sequence	NOUN
fbem-193	64	20	}	}	PUNCT
fbem-193	64	21	{	{	PUNCT
fbem-193	64	22	0x	0x	NOUN
fbem-193	64	23	,	,	PUNCT
fbem-193	64	24	and	and	CCONJ
fbem-193	64	25	is	be	AUX
fbem-193	64	26	recorded	record	VERB
fbem-193	64	27	as	as	ADP
fbem-193	64	28	}	}	PUNCT
fbem-193	64	29	{	{	PUNCT
fbem-193	64	30	}	}	PUNCT
fbem-193	64	31	{	{	PUNCT
fbem-193	64	32	ji	ji	PROPN
fbem-193	64	33	xx	xx	NUM
fbem-193	64	34			INTJ
fbem-193	64	35	;	;	PUNCT
fbem-193	64	36	r0i	r0i	NOUN
fbem-193	64	37	represents	represent	VERB
fbem-193	64	38	the	the	DET
fbem-193	64	39	eigenvalue	eigenvalue	NOUN
fbem-193	64	40	of	of	ADP
fbem-193	64	41	the	the	DET
fbem-193	64	42	i	i	PROPN
fbem-193	64	43	-	-	PUNCT
fbem-193	64	44	th	th	X
fbem-193	64	45	subsequence	subsequence	NOUN
fbem-193	64	46	to	to	ADP
fbem-193	64	47	the	the	DET
fbem-193	64	48	parent	parent	NOUN
fbem-193	64	49	sequence	sequence	NOUN
fbem-193	64	50	.	.	PUNCT
fbem-193	65	1	2.2	2.2	NUM
fbem-193	65	2	.	.	PUNCT
fbem-193	66	1	the	the	DET
fbem-193	66	2	bioactivity	bioactivity	NOUN
fbem-193	66	3	prediction	prediction	NOUN
fbem-193	66	4	model	model	NOUN
fbem-193	66	5	of	of	ADP
fbem-193	66	6	pic50	pic50	NOUN
fbem-193	66	7	was	be	AUX
fbem-193	66	8	established	establish	VERB
fbem-193	66	9	there	there	PRON
fbem-193	66	10	is	be	VERB
fbem-193	66	11	not	not	PART
fbem-193	66	12	a	a	DET
fbem-193	66	13	simple	simple	ADJ
fbem-193	66	14	linear	linear	NOUN
fbem-193	66	15	relationship	relationship	NOUN
fbem-193	66	16	between	between	ADP
fbem-193	66	17	molecular	molecular	ADJ
fbem-193	66	18	descriptors	descriptor	NOUN
fbem-193	66	19	and	and	CCONJ
fbem-193	66	20	compound	compound	VERB
fbem-193	66	21	molecular	molecular	ADJ
fbem-193	66	22	activity	activity	NOUN
fbem-193	66	23	,	,	PUNCT
fbem-193	66	24	so	so	SCONJ
fbem-193	66	25	cluster	cluster	NOUN
fbem-193	66	26	analysis	analysis	NOUN
fbem-193	66	27	and	and	CCONJ
fbem-193	66	28	decision	decision	NOUN
fbem-193	66	29	tree	tree	NOUN
fbem-193	66	30	are	be	AUX
fbem-193	66	31	not	not	PART
fbem-193	66	32	suitable	suitable	ADJ
fbem-193	66	33	.	.	PUNCT
fbem-193	67	1	a	a	DET
fbem-193	67	2	neural	neural	ADJ
fbem-193	67	3	network	network	NOUN
fbem-193	67	4	is	be	AUX
fbem-193	67	5	needed	need	VERB
fbem-193	67	6	to	to	PART
fbem-193	67	7	solve	solve	VERB
fbem-193	67	8	this	this	DET
fbem-193	67	9	nonlinear	nonlinear	ADJ
fbem-193	67	10	problem	problem	NOUN
fbem-193	67	11	.	.	PUNCT
fbem-193	68	1	firstly	firstly	ADV
fbem-193	68	2	,	,	PUNCT
fbem-193	68	3	based	base	VERB
fbem-193	68	4	on	on	ADP
fbem-193	68	5	the	the	DET
fbem-193	68	6	above	above	ADJ
fbem-193	68	7	work	work	NOUN
fbem-193	68	8	,	,	PUNCT
fbem-193	68	9	this	this	DET
fbem-193	68	10	paper	paper	NOUN
fbem-193	68	11	selects	select	VERB
fbem-193	68	12	the	the	DET
fbem-193	68	13	molecular	molecular	ADJ
fbem-193	68	14	descriptor	descriptor	NOUN
fbem-193	68	15	variables	variable	NOUN
fbem-193	68	16	with	with	ADP
fbem-193	68	17	high	high	ADJ
fbem-193	68	18	correlation	correlation	NOUN
fbem-193	68	19	with	with	ADP
fbem-193	68	20	compound	compound	NOUN
fbem-193	68	21	activity	activity	NOUN
fbem-193	68	22	and	and	CCONJ
fbem-193	68	23	then	then	ADV
fbem-193	68	24	carries	carry	VERB
fbem-193	68	25	out	out	ADP
fbem-193	68	26	the	the	DET
fbem-193	68	27	feature	feature	NOUN
fbem-193	68	28	construction	construction	NOUN
fbem-193	68	29	,	,	PUNCT
fbem-193	68	30	feature	feature	NOUN
fbem-193	68	31	dimension	dimension	NOUN
fbem-193	68	32	increase	increase	NOUN
fbem-193	68	33	,	,	PUNCT
fbem-193	68	34	and	and	CCONJ
fbem-193	68	35	pca	pca	NOUN
fbem-193	68	36	dimension	dimension	NOUN
fbem-193	68	37	reduction	reduction	NOUN
fbem-193	68	38	of	of	ADP
fbem-193	68	39	the	the	DET
fbem-193	68	40	variables	variable	NOUN
fbem-193	68	41	takes	take	VERB
fbem-193	68	42	them	they	PRON
fbem-193	68	43	as	as	ADP
fbem-193	68	44	the	the	DET
fbem-193	68	45	feature	feature	NOUN
fbem-193	68	46	parameters	parameter	NOUN
fbem-193	68	47	and	and	CCONJ
fbem-193	68	48	selects	select	VERB
fbem-193	68	49	the	the	DET
fbem-193	68	50	pic50	pic50	ADJ
fbem-193	68	51	parameter	parameter	NOUN
fbem-193	68	52	between	between	ADP
fbem-193	68	53	pic50	pic50	NOUN
fbem-193	68	54	and	and	CCONJ
fbem-193	68	55	ic50_nm	ic50_nm	ADJ
fbem-193	68	56	as	as	ADP
fbem-193	68	57	the	the	DET
fbem-193	68	58	measurement	measurement	NOUN
fbem-193	68	59	standard	standard	NOUN
fbem-193	68	60	of	of	ADP
fbem-193	68	61	biological	biological	ADJ
fbem-193	68	62	activity	activity	NOUN
fbem-193	68	63	.	.	PUNCT
fbem-193	69	1	in	in	ADP
fbem-193	69	2	the	the	DET
fbem-193	69	3	part	part	NOUN
fbem-193	69	4	of	of	ADP
fbem-193	69	5	the	the	DET
fbem-193	69	6	neural	neural	ADJ
fbem-193	69	7	network	network	NOUN
fbem-193	69	8	model	model	NOUN
fbem-193	69	9	,	,	PUNCT
fbem-193	69	10	this	this	DET
fbem-193	69	11	paper	paper	NOUN
fbem-193	69	12	intends	intend	VERB
fbem-193	69	13	to	to	PART
fbem-193	69	14	use	use	VERB
fbem-193	69	15	lightgbm	lightgbm	ADJ
fbem-193	69	16	,	,	PUNCT
fbem-193	69	17	traditional	traditional	ADJ
fbem-193	69	18	neural	neural	ADJ
fbem-193	69	19	network	network	NOUN
fbem-193	69	20	,	,	PUNCT
fbem-193	69	21	and	and	CCONJ
fbem-193	69	22	resnet	resnet	VERB
fbem-193	69	23	residual	residual	ADJ
fbem-193	69	24	network	network	NOUN
fbem-193	69	25	to	to	PART
fbem-193	69	26	establish	establish	VERB
fbem-193	69	27	models	model	NOUN
fbem-193	69	28	respectively	respectively	ADV
fbem-193	69	29	for	for	ADP
fbem-193	69	30	model	model	NOUN
fbem-193	69	31	comparison	comparison	NOUN
fbem-193	69	32	,	,	PUNCT
fbem-193	69	33	and	and	CCONJ
fbem-193	69	34	finally	finally	ADV
fbem-193	69	35	do	do	VERB
fbem-193	69	36	model	model	NOUN
fbem-193	69	37	fusion	fusion	NOUN
fbem-193	69	38	.	.	PUNCT
fbem-193	70	1	the	the	DET
fbem-193	70	2	overall	overall	ADJ
fbem-193	70	3	solution	solution	NOUN
fbem-193	70	4	flow	flow	NOUN
fbem-193	70	5	is	be	AUX
fbem-193	70	6	shown	show	VERB
fbem-193	70	7	in	in	ADP
fbem-193	70	8	figure	figure	NOUN
fbem-193	70	9	2	2	NUM
fbem-193	70	10	.	.	PUNCT
fbem-193	71	1	start	start	VERB
fbem-193	71	2	sample	sample	NOUN
fbem-193	71	3	 	 	SPACE
fbem-193	71	4	data	datum	NOUN
fbem-193	71	5	 	 	SPACE
fbem-193	71	6	feature	feature	NOUN
fbem-193	71	7	 	 	SPACE
fbem-193	71	8	engineering	engineering	NOUN
fbem-193	71	9	lightgbm	lightgbm	VERB
fbem-193	71	10	nn	nn	X
fbem-193	71	11	resnet	resnet	NOUN
fbem-193	71	12	sort	sort	NOUN
fbem-193	71	13	 	 	SPACE
fbem-193	71	14	out	out	ADP
fbem-193	71	15	 	 	SPACE
fbem-193	71	16	the	the	DET
fbem-193	71	17	 	 	SPACE
fbem-193	71	18	prediction	prediction	NOUN
fbem-193	71	19	 	 	SPACE
fbem-193	71	20	results	result	NOUN
fbem-193	71	21	 	 	SPACE
fbem-193	71	22	of	of	ADP
fbem-193	71	23	  	  	SPACE
fbem-193	71	24	the	the	DET
fbem-193	71	25	 	 	SPACE
fbem-193	71	26	model	model	NOUN
fbem-193	71	27	model	model	NOUN
fbem-193	71	28	 	 	SPACE
fbem-193	71	29	validation	validation	NOUN
fbem-193	71	30	 	 	SPACE
fbem-193	71	31	and	and	CCONJ
fbem-193	71	32	 	 	SPACE
fbem-193	71	33	evaluation	evaluation	NOUN
fbem-193	71	34	stacking	stacking	NOUN
fbem-193	71	35	 	 	SPACE
fbem-193	71	36	fusion	fusion	NOUN
fbem-193	71	37	end	end	NOUN
fbem-193	71	38	figure	figure	NOUN
fbem-193	71	39	2	2	NUM
fbem-193	71	40	.	.	PUNCT
fbem-193	71	41	flow	flow	VERB
fbem-193	71	42	chart	chart	NOUN
fbem-193	71	43	of	of	ADP
fbem-193	71	44	building	building	NOUN
fbem-193	71	45	prediction	prediction	NOUN
fbem-193	71	46	model	model	NOUN
fbem-193	71	47	2.2.1	2.2.1	NUM
fbem-193	71	48	.	.	PUNCT
fbem-193	72	1	selection	selection	NOUN
fbem-193	72	2	of	of	ADP
fbem-193	72	3	measurement	measurement	NOUN
fbem-193	72	4	criteria	criterion	NOUN
fbem-193	72	5	two	two	NUM
fbem-193	72	6	groups	group	NOUN
fbem-193	72	7	of	of	ADP
fbem-193	72	8	values	value	NOUN
fbem-193	72	9	are	be	AUX
fbem-193	72	10	used	use	VERB
fbem-193	72	11	in	in	ADP
fbem-193	72	12	the	the	DET
fbem-193	72	13	compound	compound	NOUN
fbem-193	72	14	molecular	molecular	ADJ
fbem-193	72	15	activity	activity	NOUN
fbem-193	72	16	table	table	NOUN
fbem-193	72	17	to	to	PART
fbem-193	72	18	quantify	quantify	VERB
fbem-193	72	19	the	the	DET
fbem-193	72	20	molecular	molecular	ADJ
fbem-193	72	21	activity	activity	NOUN
fbem-193	72	22	,	,	PUNCT
fbem-193	72	23	namely	namely	ADV
fbem-193	72	24	pic50	pic50	NOUN
fbem-193	72	25	and	and	CCONJ
fbem-193	72	26	ic50_nm	ic50_nm	NOUN
fbem-193	72	27	.	.	PUNCT
fbem-193	73	1	ic50_nm	ic50_nm	NOUN
fbem-193	73	2	is	be	AUX
fbem-193	73	3	the	the	DET
fbem-193	73	4	semi	semi	ADJ
fbem-193	73	5	inhibitory	inhibitory	ADJ
fbem-193	73	6	concentration	concentration	NOUN
fbem-193	73	7	(	(	PUNCT
fbem-193	73	8	or	or	CCONJ
fbem-193	73	9	semi	semi	ADV
fbem-193	73	10	inhibitory	inhibitory	ADJ
fbem-193	73	11	rate	rate	NOUN
fbem-193	73	12	)	)	PUNCT
fbem-193	73	13	,	,	PUNCT
fbem-193	73	14	that	that	ADV
fbem-193	73	15	is	is	ADV
fbem-193	73	16	,	,	PUNCT
fbem-193	73	17	the	the	DET
fbem-193	73	18	concentration	concentration	NOUN
fbem-193	73	19	of	of	ADP
fbem-193	73	20	drugs	drug	NOUN
fbem-193	73	21	or	or	CCONJ
fbem-193	73	22	inhibitors	inhibitor	NOUN
fbem-193	73	23	required	require	VERB
fbem-193	73	24	to	to	PART
fbem-193	73	25	inhibit	inhibit	VERB
fbem-193	73	26	half	half	NOUN
fbem-193	73	27	of	of	ADP
fbem-193	73	28	the	the	DET
fbem-193	73	29	specified	specified	ADJ
fbem-193	73	30	biological	biological	ADJ
fbem-193	73	31	process	process	NOUN
fbem-193	73	32	(	(	PUNCT
fbem-193	73	33	or	or	CCONJ
fbem-193	73	34	a	a	DET
fbem-193	73	35	component	component	NOUN
fbem-193	73	36	in	in	ADP
fbem-193	73	37	the	the	DET
fbem-193	73	38	process	process	NOUN
fbem-193	73	39	,	,	PUNCT
fbem-193	73	40	such	such	ADJ
fbem-193	73	41	as	as	ADP
fbem-193	73	42	enzyme	enzyme	NOUN
fbem-193	73	43	,	,	PUNCT
fbem-193	73	44	receptor	receptor	NOUN
fbem-193	73	45	,	,	PUNCT
fbem-193	73	46	cell	cell	NOUN
fbem-193	73	47	,	,	PUNCT
fbem-193	73	48	etc	etc	X
fbem-193	73	49	.	.	X
fbem-193	73	50	)	)	PUNCT
fbem-193	73	51	,	,	PUNCT
fbem-193	73	52	it	it	PRON
fbem-193	73	53	is	be	AUX
fbem-193	73	54	used	use	VERB
fbem-193	73	55	in	in	ADP
fbem-193	73	56	pharmacy	pharmacy	NOUN
fbem-193	73	57	to	to	PART
fbem-193	73	58	characterize	characterize	VERB
fbem-193	73	59	the	the	DET
fbem-193	73	60	antagonistic	antagonistic	ADJ
fbem-193	73	61	ability	ability	NOUN
fbem-193	73	62	of	of	ADP
fbem-193	73	63	antagonists	antagonist	NOUN
fbem-193	73	64	in	in	ADP
fbem-193	73	65	vitro	vitro	VERB
fbem-193	73	66	.	.	PUNCT
fbem-193	74	1	there	there	PRON
fbem-193	74	2	is	be	VERB
fbem-193	74	3	a	a	DET
fbem-193	74	4	positive	positive	ADJ
fbem-193	74	5	correlation	correlation	NOUN
fbem-193	74	6	between	between	ADP
fbem-193	74	7	plc50	plc50	PROPN
fbem-193	74	8	and	and	CCONJ
fbem-193	74	9	ic50_nm	ic50_nm	NOUN
fbem-193	74	10	,	,	PUNCT
fbem-193	74	11	and	and	CCONJ
fbem-193	74	12	both	both	PRON
fbem-193	74	13	have	have	VERB
fbem-193	74	14	the	the	DET
fbem-193	74	15	function	function	NOUN
fbem-193	74	16	of	of	ADP
fbem-193	74	17	characterizing	characterize	VERB
fbem-193	74	18	the	the	DET
fbem-193	74	19	molecular	molecular	ADJ
fbem-193	74	20	activity	activity	NOUN
fbem-193	74	21	of	of	ADP
fbem-193	74	22	compounds	compound	NOUN
fbem-193	74	23	.	.	PUNCT
fbem-193	75	1	observe	observe	VERB
fbem-193	75	2	the	the	DET
fbem-193	75	3	data	data	NOUN
fbem-193	75	4	distribution	distribution	NOUN
fbem-193	75	5	of	of	ADP
fbem-193	75	6	pic50	pic50	NOUN
fbem-193	75	7	and	and	CCONJ
fbem-193	75	8	ic50_nm	ic50_nm	NOUN
fbem-193	75	9	respectively	respectively	ADV
fbem-193	75	10	.	.	PUNCT
fbem-193	76	1	as	as	SCONJ
fbem-193	76	2	shown	show	VERB
fbem-193	76	3	in	in	ADP
fbem-193	76	4	figure	figure	NOUN
fbem-193	76	5	3	3	NUM
fbem-193	76	6	,	,	PUNCT
fbem-193	76	7	the	the	DET
fbem-193	76	8	distribution	distribution	NOUN
fbem-193	76	9	of	of	ADP
fbem-193	76	10	ic50_nm	ic50_nm	NOUN
fbem-193	76	11	is	be	AUX
fbem-193	76	12	a	a	DET
fbem-193	76	13	heavy	heavy	ADJ
fbem-193	76	14	-	-	PUNCT
fbem-193	76	15	tailed	tail	VERB
fbem-193	76	16	distribution	distribution	NOUN
fbem-193	76	17	,	,	PUNCT
fbem-193	76	18	which	which	PRON
fbem-193	76	19	is	be	AUX
fbem-193	76	20	quite	quite	ADV
fbem-193	76	21	different	different	ADJ
fbem-193	76	22	from	from	ADP
fbem-193	76	23	the	the	DET
fbem-193	76	24	normal	normal	ADJ
fbem-193	76	25	distribution	distribution	NOUN
fbem-193	76	26	,	,	PUNCT
fbem-193	76	27	which	which	PRON
fbem-193	76	28	is	be	AUX
fbem-193	76	29	not	not	PART
fbem-193	76	30	conducive	conducive	ADJ
fbem-193	76	31	to	to	ADP
fbem-193	76	32	model	model	NOUN
fbem-193	76	33	training	training	NOUN
fbem-193	76	34	.	.	PUNCT
fbem-193	77	1	moreover	moreover	ADV
fbem-193	77	2	,	,	PUNCT
fbem-193	77	3	according	accord	VERB
fbem-193	77	4	to	to	ADP
fbem-193	77	5	the	the	DET
fbem-193	77	6	general	general	ADJ
fbem-193	77	7	data	datum	NOUN
fbem-193	77	8	processing	processing	NOUN
fbem-193	77	9	method	method	NOUN
fbem-193	77	10	,	,	PUNCT
fbem-193	77	11	the	the	DET
fbem-193	77	12	long	long	ADJ
fbem-193	77	13	tail	tail	NOUN
fbem-193	77	14	on	on	ADP
fbem-193	77	15	the	the	DET
fbem-193	77	16	right	right	ADJ
fbem-193	77	17	needs	need	NOUN
fbem-193	77	18	to	to	PART
fbem-193	77	19	be	be	AUX
fbem-193	77	20	truncated	truncate	VERB
fbem-193	77	21	,	,	PUNCT
fbem-193	77	22	which	which	PRON
fbem-193	77	23	is	be	AUX
fbem-193	77	24	not	not	PART
fbem-193	77	25	applicable	applicable	ADJ
fbem-193	77	26	when	when	SCONJ
fbem-193	77	27	the	the	DET
fbem-193	77	28	amount	amount	NOUN
fbem-193	77	29	of	of	ADP
fbem-193	77	30	data	datum	NOUN
fbem-193	77	31	given	give	VERB
fbem-193	77	32	in	in	ADP
fbem-193	77	33	this	this	DET
fbem-193	77	34	question	question	NOUN
fbem-193	77	35	is	be	AUX
fbem-193	77	36	small	small	ADJ
fbem-193	77	37	.	.	PUNCT
fbem-193	78	1	it	it	PRON
fbem-193	78	2	can	can	AUX
fbem-193	78	3	be	be	AUX
fbem-193	78	4	seen	see	VERB
fbem-193	78	5	that	that	SCONJ
fbem-193	78	6	the	the	DET
fbem-193	78	7	distribution	distribution	NOUN
fbem-193	78	8	of	of	ADP
fbem-193	78	9	pic50	pic50	NOUN
fbem-193	78	10	is	be	AUX
fbem-193	78	11	relatively	relatively	ADV
fbem-193	78	12	uniform	uniform	ADJ
fbem-193	78	13	and	and	CCONJ
fbem-193	78	14	close	close	ADJ
fbem-193	78	15	to	to	ADP
fbem-193	78	16	the	the	DET
fbem-193	78	17	normal	normal	ADJ
fbem-193	78	18	distribution	distribution	NOUN
fbem-193	78	19	,	,	PUNCT
fbem-193	78	20	which	which	PRON
fbem-193	78	21	is	be	AUX
fbem-193	78	22	more	more	ADV
fbem-193	78	23	suitable	suitable	ADJ
fbem-193	78	24	as	as	ADP
fbem-193	78	25	the	the	DET
fbem-193	78	26	result	result	NOUN
fbem-193	78	27	set	set	VERB
fbem-193	78	28	than	than	ADP
fbem-193	78	29	ic50_nm	ic50_nm	PROPN
fbem-193	78	30	.	.	PUNCT
fbem-193	79	1	therefore	therefore	ADV
fbem-193	79	2	,	,	PUNCT
fbem-193	79	3	pic50	pic50	NOUN
fbem-193	79	4	is	be	AUX
fbem-193	79	5	selected	select	VERB
fbem-193	79	6	as	as	ADP
fbem-193	79	7	the	the	DET
fbem-193	79	8	measurement	measurement	NOUN
fbem-193	79	9	standard	standard	NOUN
fbem-193	79	10	of	of	ADP
fbem-193	79	11	biological	biological	ADJ
fbem-193	79	12	activity	activity	NOUN
fbem-193	79	13	in	in	ADP
fbem-193	79	14	this	this	DET
fbem-193	79	15	paper	paper	NOUN
fbem-193	79	16	.	.	PUNCT
fbem-193	80	1	figure	figure	NOUN
fbem-193	80	2	3	3	NUM
fbem-193	80	3	.	.	PUNCT
fbem-193	80	4	data	datum	NOUN
fbem-193	80	5	distribution	distribution	NOUN
fbem-193	80	6	2.2.2	2.2.2	NUM
fbem-193	80	7	.	.	PUNCT
fbem-193	81	1	resnet	resnet	NOUN
fbem-193	81	2	compared	compare	VERB
fbem-193	81	3	with	with	ADP
fbem-193	81	4	ordinary	ordinary	ADJ
fbem-193	81	5	deep	deep	ADJ
fbem-193	81	6	neural	neural	ADJ
fbem-193	81	7	networks	network	NOUN
fbem-193	81	8	,	,	PUNCT
fbem-193	81	9	resnet	resnet	VERB
fbem-193	81	10	[	[	X
fbem-193	81	11	3	3	X
fbem-193	81	12	]	]	PUNCT
fbem-193	81	13	has	have	VERB
fbem-193	81	14	many	many	ADJ
fbem-193	81	15	"	"	PUNCT
fbem-193	81	16	bypasses	bypass	NOUN
fbem-193	81	17	"	"	PUNCT
fbem-193	81	18	,	,	PUNCT
fbem-193	81	19	i.e.	i.e.	X
fbem-193	81	20	shortcut	shortcut	NOUN
fbem-193	81	21	paths	path	NOUN
fbem-193	81	22	.	.	PUNCT
fbem-193	82	1	the	the	DET
fbem-193	82	2	layers	layer	NOUN
fbem-193	82	3	circled	circle	VERB
fbem-193	82	4	at	at	ADP
fbem-193	82	5	the	the	DET
fbem-193	82	6	beginning	beginning	NOUN
fbem-193	82	7	and	and	CCONJ
fbem-193	82	8	end	end	VERB
fbem-193	82	9	form	form	NOUN
fbem-193	82	10	a	a	DET
fbem-193	82	11	residual	residual	ADJ
fbem-193	82	12	unit	unit	NOUN
fbem-193	82	13	.	.	PUNCT
fbem-193	83	1	each	each	DET
fbem-193	83	2	residual	residual	ADJ
fbem-193	83	3	unit	unit	NOUN
fbem-193	83	4	is	be	AUX
fbem-193	83	5	stacked	stack	VERB
fbem-193	83	6	by	by	ADP
fbem-193	83	7	convolution	convolution	NOUN
fbem-193	83	8	conv	conv	ADJ
fbem-193	83	9	layer	layer	NOUN
fbem-193	83	10	,	,	PUNCT
fbem-193	83	11	batch	batch	NOUN
fbem-193	83	12	normalized	normalize	VERB
fbem-193	83	13	bn	bn	NOUN
fbem-193	83	14	layer	layer	NOUN
fbem-193	83	15	,	,	PUNCT
fbem-193	83	16	and	and	CCONJ
fbem-193	83	17	nonlinear	nonlinear	ADJ
fbem-193	83	18	activation	activation	NOUN
fbem-193	83	19	function	function	VERB
fbem-193	83	20	relu	relu	NOUN
fbem-193	83	21	layer	layer	NOUN
fbem-193	83	22	.	.	PUNCT
fbem-193	84	1	it	it	PRON
fbem-193	84	2	has	have	VERB
fbem-193	84	3	two	two	NUM
fbem-193	84	4	layers	layer	NOUN
fbem-193	84	5	,	,	PUNCT
fbem-193	84	6	as	as	SCONJ
fbem-193	84	7	shown	show	VERB
fbem-193	84	8	in	in	ADP
fbem-193	84	9	the	the	DET
fbem-193	84	10	formula	formula	NOUN
fbem-193	84	11	,	,	PUNCT
fbem-193	84	12	in	in	ADP
fbem-193	84	13	which	which	PRON
fbem-193	84	14	σ	σ	NOUN
fbem-193	84	15	represents	represent	VERB
fbem-193	84	16	the	the	DET
fbem-193	84	17	nonlinear	nonlinear	ADJ
fbem-193	84	18	function	function	NOUN
fbem-193	84	19	relu	relu	NOUN
fbem-193	84	20	;	;	PUNCT
fbem-193	84	21	then	then	ADV
fbem-193	84	22	,	,	PUNCT
fbem-193	84	23	the	the	DET
fbem-193	84	24	output	output	NOUN
fbem-193	84	25	y	y	PROPN
fbem-193	84	26	is	be	AUX
fbem-193	84	27	obtained	obtain	VERB
fbem-193	84	28	through	through	ADP
fbem-193	84	29	a	a	DET
fbem-193	84	30	shortcut	shortcut	NOUN
fbem-193	84	31	and	and	CCONJ
fbem-193	84	32	the	the	DET
fbem-193	84	33	second	second	ADJ
fbem-193	84	34	relu	relu	NOUN
fbem-193	84	35	.	.	PUNCT
fbem-193	85	1	when	when	SCONJ
fbem-193	85	2	the	the	DET
fbem-193	85	3	input	input	NOUN
fbem-193	85	4	and	and	CCONJ
fbem-193	85	5	output	output	NOUN
fbem-193	85	6	dimensions	dimension	NOUN
fbem-193	85	7	need	need	VERB
fbem-193	85	8	to	to	PART
fbem-193	85	9	be	be	AUX
fbem-193	85	10	changed	change	VERB
fbem-193	85	11	(	(	PUNCT
fbem-193	85	12	such	such	ADJ
fbem-193	85	13	as	as	ADP
fbem-193	85	14	changing	change	VERB
fbem-193	85	15	the	the	DET
fbem-193	85	16	number	number	NOUN
fbem-193	85	17	of	of	ADP
fbem-193	85	18	channels	channel	NOUN
fbem-193	85	19	)	)	PUNCT
fbem-193	85	20	,	,	PUNCT
fbem-193	85	21	a	a	DET
fbem-193	85	22	linear	linear	ADJ
fbem-193	85	23	transformation	transformation	NOUN
fbem-193	85	24	ws	ws	NOUN
fbem-193	85	25	can	can	AUX
fbem-193	85	26	be	be	AUX
fbem-193	85	27	made	make	VERB
fbem-193	85	28	for	for	ADP
fbem-193	85	29	x	x	PUNCT
fbem-193	85	30	during	during	ADP
fbem-193	85	31	the	the	DET
fbem-193	85	32	shortcut	shortcut	NOUN
fbem-193	85	33	.	.	PUNCT
fbem-193	86	1	the	the	DET
fbem-193	86	2	experiment	experiment	NOUN
fbem-193	86	3	shows	show	VERB
fbem-193	86	4	that	that	SCONJ
fbem-193	86	5	there	there	PRON
fbem-193	86	6	is	be	VERB
fbem-193	86	7	no	no	DET
fbem-193	86	8	need	need	NOUN
fbem-193	86	9	for	for	ADP
fbem-193	86	10	another	another	DET
fbem-193	86	11	dimension	dimension	NOUN
fbem-193	86	12	transformation	transformation	NOUN
fbem-193	86	13	.	.	PUNCT
fbem-193	87	1	unless	unless	SCONJ
fbem-193	87	2	the	the	DET
fbem-193	87	3	demand	demand	NOUN
fbem-193	87	4	is	be	AUX
fbem-193	87	5	the	the	DET
fbem-193	87	6	output	output	NOUN
fbem-193	87	7	of	of	ADP
fbem-193	87	8	a	a	DET
fbem-193	87	9	specific	specific	ADJ
fbem-193	87	10	dimension	dimension	NOUN
fbem-193	87	11	,	,	PUNCT
fbem-193	87	12	the	the	DET
fbem-193	87	13	residual	residual	ADJ
fbem-193	87	14	block	block	NOUN
fbem-193	87	15	often	often	ADV
fbem-193	87	16	needs	need	VERB
fbem-193	87	17	more	more	ADJ
fbem-193	87	18	than	than	ADP
fbem-193	87	19	two	two	NUM
fbem-193	87	20	layers	layer	NOUN
fbem-193	87	21	,	,	PUNCT
fbem-193	87	22	a	a	DET
fbem-193	87	23	single	single	ADJ
fbem-193	87	24	layer	layer	NOUN
fbem-193	87	25	of	of	ADP
fbem-193	87	26	residual	residual	ADJ
fbem-193	87	27	blocks	block	NOUN
fbem-193	87	28	does	do	AUX
fbem-193	87	29	not	not	PART
fbem-193	87	30	improve	improve	VERB
fbem-193	87	31	.	.	PUNCT
fbem-193	88	1	this	this	DET
fbem-193	88	2	residual	residual	ADJ
fbem-193	88	3	element	element	NOUN
fbem-193	88	4	has	have	VERB
fbem-193	88	5	two	two	NUM
fbem-193	88	6	layers	layer	NOUN
fbem-193	88	7	.	.	PUNCT
fbem-193	89	1	the	the	DET
fbem-193	89	2	expression	expression	NOUN
fbem-193	89	3	of	of	ADP
fbem-193	89	4	𝐹	𝐹	PROPN
fbem-193	89	5	is	be	AUX
fbem-193	89	6	as	as	SCONJ
fbem-193	89	7	shown	show	VERB
fbem-193	89	8	in	in	ADP
fbem-193	89	9	equation	equation	NOUN
fbem-193	89	10	(	(	PUNCT
fbem-193	89	11	8)	8)	NUM
fbem-193	89	12	,	,	PUNCT
fbem-193	89	13	and	and	CCONJ
fbem-193	89	14	then	then	ADV
fbem-193	89	15	the	the	DET
fbem-193	89	16	output	output	NOUN
fbem-193	89	17	y	y	PROPN
fbem-193	89	18	is	be	AUX
fbem-193	89	19	obtained	obtain	VERB
fbem-193	89	20	through	through	ADP
fbem-193	89	21	a	a	DET
fbem-193	89	22	shortcut	shortcut	NOUN
fbem-193	89	23	and	and	CCONJ
fbem-193	89	24	the	the	DET
fbem-193	89	25	second	second	ADJ
fbem-193	89	26	relu	relu	NOUN
fbem-193	89	27	,	,	PUNCT
fbem-193	89	28	as	as	SCONJ
fbem-193	89	29	shown	show	VERB
fbem-193	89	30	in	in	ADP
fbem-193	89	31	equation	equation	NOUN
fbem-193	89	32	(	(	PUNCT
fbem-193	89	33	9	9	NUM
fbem-193	89	34	)	)	PUNCT
fbem-193	89	35	.	.	PUNCT
fbem-193	90	1	𝐹	𝐹	PROPN
fbem-193	90	2	𝑊	𝑊	VERB
fbem-193	90	3	𝜎	𝜎	NOUN
fbem-193	90	4	𝑊	𝑊	NOUN
fbem-193	90	5	𝑥	𝑥	X
fbem-193	90	6	(	(	PUNCT
fbem-193	90	7	8)	8)	NUM
fbem-193	90	8	𝑦	𝑦	NOUN
fbem-193	90	9	𝐹	𝐹	PROPN
fbem-193	90	10	𝑥	𝑥	NOUN
fbem-193	90	11	,	,	PUNCT
fbem-193	90	12	𝑊	𝑊	VERB
fbem-193	90	13	𝑥	𝑥	PROPN
fbem-193	90	14	𝑦	𝑦	NOUN
fbem-193	90	15	𝐹	𝐹	PROPN
fbem-193	91	1	𝑥	𝑥	NOUN
fbem-193	91	2	,	,	PUNCT
fbem-193	91	3	𝑊	𝑊	PROPN
fbem-193	91	4	𝑊	𝑊	NOUN
fbem-193	91	5	𝑥	𝑥	NOUN
fbem-193	91	6	(	(	PUNCT
fbem-193	91	7	9	9	NUM
fbem-193	91	8	)	)	PUNCT
fbem-193	91	9	in	in	ADP
fbem-193	91	10	resnet	resnet	NOUN
fbem-193	91	11	,	,	PUNCT
fbem-193	91	12	all	all	DET
fbem-193	91	13	residual	residual	ADJ
fbem-193	91	14	blocks	block	NOUN
fbem-193	91	15	do	do	AUX
fbem-193	91	16	not	not	PART
fbem-193	91	17	have	have	VERB
fbem-193	91	18	a	a	DET
fbem-193	91	19	pooling	pool	VERB
fbem-193	91	20	layer	layer	NOUN
fbem-193	91	21	,	,	PUNCT
fbem-193	91	22	and	and	CCONJ
fbem-193	91	23	down	down	ADV
fbem-193	91	24	sampling	sampling	NOUN
fbem-193	91	25	is	be	AUX
fbem-193	91	26	realized	realize	VERB
fbem-193	91	27	through	through	ADP
fbem-193	91	28	the	the	DET
fbem-193	91	29	stride	stride	NOUN
fbem-193	91	30	of	of	ADP
fbem-193	91	31	conv	conv	ADJ
fbem-193	91	32	;	;	PUNCT
fbem-193	91	33	get	get	VERB
fbem-193	91	34	the	the	DET
fbem-193	91	35	final	final	ADJ
fbem-193	91	36	feature	feature	NOUN
fbem-193	91	37	through	through	ADP
fbem-193	91	38	average	average	ADJ
fbem-193	91	39	pooling	pooling	NOUN
fbem-193	91	40	,	,	PUNCT
fbem-193	91	41	not	not	PART
fbem-193	91	42	through	through	ADP
fbem-193	91	43	the	the	DET
fbem-193	91	44	full	full	ADJ
fbem-193	91	45	connection	connection	NOUN
fbem-193	91	46	layer	layer	NOUN
fbem-193	91	47	;	;	PUNCT
fbem-193	91	48	each	each	DET
fbem-193	91	49	convolution	convolution	NOUN
fbem-193	91	50	layer	layer	NOUN
fbem-193	91	51	is	be	AUX
fbem-193	91	52	followed	follow	VERB
fbem-193	91	53	by	by	ADP
fbem-193	91	54	a	a	DET
fbem-193	91	55	batch	batch	NOUN
fbem-193	91	56	norm	norm	NOUN
fbem-193	91	57	layer	layer	NOUN
fbem-193	91	58	.	.	PUNCT
fbem-193	92	1	resnet	resnet	NOUN
fbem-193	92	2	structure	structure	NOUN
fbem-193	92	3	is	be	AUX
fbem-193	92	4	very	very	ADV
fbem-193	92	5	easy	easy	ADJ
fbem-193	92	6	to	to	PART
fbem-193	92	7	modify	modify	VERB
fbem-193	92	8	and	and	CCONJ
fbem-193	92	9	expand	expand	VERB
fbem-193	92	10	.	.	PUNCT
fbem-193	93	1	by	by	ADP
fbem-193	93	2	adjusting	adjust	VERB
fbem-193	93	3	the	the	DET
fbem-193	93	4	number	number	NOUN
fbem-193	93	5	of	of	ADP
fbem-193	93	6	channels	channel	NOUN
fbem-193	93	7	in	in	ADP
fbem-193	93	8	the	the	DET
fbem-193	93	9	block	block	NOUN
fbem-193	93	10	and	and	CCONJ
fbem-193	93	11	the	the	DET
fbem-193	93	12	number	number	NOUN
fbem-193	93	13	of	of	ADP
fbem-193	93	14	stacked	stack	VERB
fbem-193	93	15	blocks	block	NOUN
fbem-193	93	16	,	,	PUNCT
fbem-193	93	17	you	you	PRON
fbem-193	93	18	can	can	AUX
fbem-193	93	19	easily	easily	ADV
fbem-193	93	20	adjust	adjust	VERB
fbem-193	93	21	the	the	DET
fbem-193	93	22	width	width	ADJ
fbem-193	93	23	and	and	CCONJ
fbem-193	93	24	depth	depth	NOUN
fbem-193	93	25	of	of	ADP
fbem-193	93	26	the	the	DET
fbem-193	93	27	network	network	NOUN
fbem-193	93	28	to	to	PART
fbem-193	93	29	obtain	obtain	VERB
fbem-193	93	30	networks	network	NOUN
fbem-193	93	31	with	with	ADP
fbem-193	93	32	different	different	ADJ
fbem-193	93	33	expression	expression	NOUN
fbem-193	93	34	abilities	ability	NOUN
fbem-193	93	35	without	without	ADP
fbem-193	93	36	worrying	worry	VERB
fbem-193	93	37	too	too	ADV
fbem-193	93	38	much	much	ADJ
fbem-193	93	39	about	about	ADP
fbem-193	93	40	the	the	DET
fbem-193	93	41	"	"	PUNCT
fbem-193	93	42	degradation	degradation	NOUN
fbem-193	93	43	"	"	PUNCT
fbem-193	93	44	of	of	ADP
fbem-193	93	45	the	the	DET
fbem-193	93	46	network	network	NOUN
fbem-193	93	47	.	.	PUNCT
fbem-193	94	1	as	as	ADV
fbem-193	94	2	long	long	ADV
fbem-193	94	3	as	as	SCONJ
fbem-193	94	4	the	the	DET
fbem-193	94	5	training	training	NOUN
fbem-193	94	6	data	datum	NOUN
fbem-193	94	7	is	be	AUX
fbem-193	94	8	sufficient	sufficient	ADJ
fbem-193	94	9	and	and	CCONJ
fbem-193	94	10	the	the	DET
fbem-193	94	11	network	network	NOUN
fbem-193	94	12	is	be	AUX
fbem-193	94	13	gradually	gradually	ADV
fbem-193	94	14	deepened	deepen	VERB
fbem-193	94	15	,	,	PUNCT
fbem-193	94	16	you	you	PRON
fbem-193	94	17	can	can	AUX
fbem-193	94	18	obtain	obtain	VERB
fbem-193	94	19	better	well	ADJ
fbem-193	94	20	performance	performance	NOUN
fbem-193	94	21	.	.	PUNCT
fbem-193	95	1	2.3	2.3	NUM
fbem-193	95	2	.	.	PUNCT
fbem-193	95	3	establish	establish	VERB
fbem-193	95	4	admet	admet	PROPN
fbem-193	95	5	property	property	NOUN
fbem-193	95	6	classification	classification	NOUN
fbem-193	95	7	model	model	NOUN
fbem-193	95	8	according	accord	VERB
fbem-193	95	9	to	to	ADP
fbem-193	95	10	the	the	DET
fbem-193	95	11	properties	property	NOUN
fbem-193	95	12	of	of	ADP
fbem-193	95	13	admet	admet	NOUN
fbem-193	95	14	,	,	PUNCT
fbem-193	95	15	they	they	PRON
fbem-193	95	16	are	be	AUX
fbem-193	95	17	divided	divide	VERB
fbem-193	95	18	53	53	NUM
fbem-193	95	19	into	into	ADP
fbem-193	95	20	two	two	NUM
fbem-193	95	21	categories	category	NOUN
fbem-193	95	22	.	.	PUNCT
fbem-193	96	1	first	first	ADV
fbem-193	96	2	,	,	PUNCT
fbem-193	96	3	we	we	PRON
fbem-193	96	4	need	need	VERB
fbem-193	96	5	to	to	PART
fbem-193	96	6	process	process	VERB
fbem-193	96	7	the	the	DET
fbem-193	96	8	molecular	molecular	ADJ
fbem-193	96	9	descriptor	descriptor	NOUN
fbem-193	96	10	data	datum	NOUN
fbem-193	96	11	,	,	PUNCT
fbem-193	96	12	eliminate	eliminate	VERB
fbem-193	96	13	the	the	DET
fbem-193	96	14	columns	column	NOUN
fbem-193	96	15	with	with	ADP
fbem-193	96	16	unique	unique	ADJ
fbem-193	96	17	values	value	NOUN
fbem-193	96	18	,	,	PUNCT
fbem-193	96	19	and	and	CCONJ
fbem-193	96	20	normalize	normalize	VERB
fbem-193	96	21	all	all	DET
fbem-193	96	22	the	the	DET
fbem-193	96	23	data	datum	NOUN
fbem-193	96	24	.	.	PUNCT
fbem-193	97	1	lightgbm	lightgbm	ADJ
fbem-193	97	2	,	,	PUNCT
fbem-193	97	3	logistic	logistic	ADJ
fbem-193	97	4	,	,	PUNCT
fbem-193	97	5	and	and	CCONJ
fbem-193	97	6	resnet	resnet	NOUN
fbem-193	97	7	were	be	AUX
fbem-193	97	8	used	use	VERB
fbem-193	97	9	to	to	PART
fbem-193	97	10	establish	establish	VERB
fbem-193	97	11	models	model	NOUN
fbem-193	97	12	and	and	CCONJ
fbem-193	97	13	compare	compare	VERB
fbem-193	97	14	them	they	PRON
fbem-193	97	15	.	.	PUNCT
fbem-193	98	1	the	the	DET
fbem-193	98	2	training	training	NOUN
fbem-193	98	3	and	and	CCONJ
fbem-193	98	4	prediction	prediction	NOUN
fbem-193	98	5	are	be	AUX
fbem-193	98	6	carried	carry	VERB
fbem-193	98	7	out	out	ADP
fbem-193	98	8	through	through	ADP
fbem-193	98	9	50	50	NUM
fbem-193	98	10	%	%	NOUN
fbem-193	98	11	cross	cross	NOUN
fbem-193	98	12	-	-	NOUN
fbem-193	98	13	validation	validation	NOUN
fbem-193	98	14	of	of	ADP
fbem-193	98	15	the	the	DET
fbem-193	98	16	lightgbm	lightgbm	ADJ
fbem-193	98	17	model	model	NOUN
fbem-193	98	18	and	and	CCONJ
fbem-193	98	19	logistic	logistic	ADJ
fbem-193	98	20	model	model	NOUN
fbem-193	98	21	.	.	PUNCT
fbem-193	99	1	the	the	DET
fbem-193	99	2	model	model	NOUN
fbem-193	99	3	fusion	fusion	NOUN
fbem-193	99	4	of	of	ADP
fbem-193	99	5	the	the	DET
fbem-193	99	6	three	three	NUM
fbem-193	99	7	models	model	NOUN
fbem-193	99	8	is	be	AUX
fbem-193	99	9	realized	realize	VERB
fbem-193	99	10	by	by	ADP
fbem-193	99	11	choquet	choquet	NOUN
fbem-193	99	12	fuzzy	fuzzy	ADJ
fbem-193	99	13	integral	integral	ADJ
fbem-193	99	14	[	[	X
fbem-193	99	15	5	5	NUM
fbem-193	99	16	]	]	PUNCT
fbem-193	99	17	,	,	PUNCT
fbem-193	99	18	and	and	CCONJ
fbem-193	99	19	the	the	DET
fbem-193	99	20	final	final	ADJ
fbem-193	99	21	prediction	prediction	NOUN
fbem-193	99	22	results	result	NOUN
fbem-193	99	23	are	be	AUX
fbem-193	99	24	obtained	obtain	VERB
fbem-193	99	25	.	.	PUNCT
fbem-193	100	1	the	the	DET
fbem-193	100	2	idea	idea	NOUN
fbem-193	100	3	flow	flow	NOUN
fbem-193	100	4	chart	chart	NOUN
fbem-193	100	5	of	of	ADP
fbem-193	100	6	question	question	NOUN
fbem-193	100	7	3	3	NUM
fbem-193	100	8	is	be	AUX
fbem-193	100	9	shown	show	VERB
fbem-193	100	10	in	in	ADP
fbem-193	100	11	figure	figure	NOUN
fbem-193	100	12	4	4	NUM
fbem-193	100	13	.	.	PUNCT
fbem-193	101	1	start	start	VERB
fbem-193	101	2	sample	sample	NOUN
fbem-193	101	3	 	 	SPACE
fbem-193	101	4	data	datum	NOUN
fbem-193	101	5	 	 	SPACE
fbem-193	101	6	feature	feature	NOUN
fbem-193	101	7	 	 	SPACE
fbem-193	101	8	engineering	engineering	NOUN
fbem-193	101	9	lightgbm	lightgbm	VERB
fbem-193	101	10	nn	nn	X
fbem-193	101	11	resnet	resnet	NOUN
fbem-193	101	12	sort	sort	NOUN
fbem-193	101	13	 	 	SPACE
fbem-193	101	14	out	out	ADP
fbem-193	101	15	 	 	SPACE
fbem-193	101	16	the	the	DET
fbem-193	101	17	 	 	SPACE
fbem-193	101	18	prediction	prediction	NOUN
fbem-193	101	19	 	 	SPACE
fbem-193	101	20	results	result	NOUN
fbem-193	101	21	 	 	SPACE
fbem-193	101	22	of	of	ADP
fbem-193	101	23	  	  	SPACE
fbem-193	101	24	the	the	DET
fbem-193	101	25	 	 	SPACE
fbem-193	101	26	model	model	NOUN
fbem-193	101	27	model	model	NOUN
fbem-193	101	28	 	 	SPACE
fbem-193	101	29	validation	validation	NOUN
fbem-193	101	30	 	 	SPACE
fbem-193	101	31	and	and	CCONJ
fbem-193	101	32	 	 	SPACE
fbem-193	101	33	evaluation	evaluation	NOUN
fbem-193	101	34	model	model	NOUN
fbem-193	101	35	 	 	SPACE
fbem-193	101	36	fusion	fusion	NOUN
fbem-193	101	37	 	 	SPACE
fbem-193	101	38	based	base	VERB
fbem-193	101	39	 	 	SPACE
fbem-193	101	40	on	on	ADP
fbem-193	101	41	 	 	SPACE
fbem-193	101	42	choquet	choquet	NOUN
fbem-193	101	43	  	  	SPACE
fbem-193	101	44	fuzzy	fuzzy	ADJ
fbem-193	101	45	 	 	SPACE
fbem-193	101	46	integral	integral	ADJ
fbem-193	101	47	end	end	NOUN
fbem-193	101	48	figure	figure	NOUN
fbem-193	101	49	4	4	NUM
fbem-193	101	50	.	.	PUNCT
fbem-193	101	51	flow	flow	VERB
fbem-193	101	52	chart	chart	NOUN
fbem-193	101	53	of	of	ADP
fbem-193	101	54	establishing	establish	VERB
fbem-193	101	55	classification	classification	NOUN
fbem-193	101	56	model	model	NOUN
fbem-193	101	57	2.3.1	2.3.1	NUM
fbem-193	101	58	.	.	PUNCT
fbem-193	101	59	choquet	choquet	VERB
fbem-193	101	60	fuzzy	fuzzy	ADJ
fbem-193	101	61	integral	integral	ADJ
fbem-193	101	62	choquet	choquet	NOUN
fbem-193	101	63	integral	integral	ADJ
fbem-193	101	64	is	be	AUX
fbem-193	101	65	an	an	DET
fbem-193	101	66	integral	integral	ADJ
fbem-193	101	67	representation	representation	NOUN
fbem-193	101	68	theory	theory	NOUN
fbem-193	101	69	based	base	VERB
fbem-193	101	70	on	on	ADP
fbem-193	101	71	convex	convex	NOUN
fbem-193	101	72	set	set	VERB
fbem-193	101	73	and	and	CCONJ
fbem-193	101	74	convex	convex	VERB
fbem-193	101	75	cone	cone	NOUN
fbem-193	101	76	theory	theory	NOUN
fbem-193	101	77	.	.	PUNCT
fbem-193	102	1	for	for	ADP
fbem-193	102	2	any	any	DET
fbem-193	102	3	kx	kx	NOUN
fbem-193	102	4	in	in	ADP
fbem-193	102	5	compact	compact	ADJ
fbem-193	102	6	convex	convex	NOUN
fbem-193	102	7	set	set	VERB
fbem-193	102	8	in	in	ADP
fbem-193	102	9	locally	locally	ADV
fbem-193	102	10	convex	convex	ADJ
fbem-193	102	11	space	space	NOUN
fbem-193	102	12	,	,	PUNCT
fbem-193	102	13	there	there	PRON
fbem-193	102	14	is	be	VERB
fbem-193	102	15	a	a	DET
fbem-193	102	16	probability	probability	NOUN
fbem-193	102	17	measure	measure	NOUN
fbem-193	102	18	on	on	ADP
fbem-193	102	19	the	the	DET
fbem-193	102	20	endpoint	endpoint	NOUN
fbem-193	102	21	set	set	VERB
fbem-193	102	22	𝑒𝑥𝑡𝐾	𝑒𝑥𝑡𝐾	NOUN
fbem-193	102	23	of	of	ADP
fbem-193	102	24	k	k	PROPN
fbem-193	102	25	,	,	PUNCT
fbem-193	102	26	so	so	SCONJ
fbem-193	102	27	that	that	SCONJ
fbem-193	102	28	for	for	ADP
fbem-193	102	29	any	any	DET
fbem-193	102	30	*	*	PROPN
fbem-193	102	31	*	*	PROPN
fbem-193	102	32	xx	xx	NUM
fbem-193	102	33			NOUN
fbem-193	102	34	,	,	PUNCT
fbem-193	102	35	there	there	PRON
fbem-193	102	36	is	be	VERB
fbem-193	102	37	equation	equation	NOUN
fbem-193	102	38	(	(	PUNCT
fbem-193	102	39	10	10	NUM
fbem-193	102	40	):	):	PUNCT
fbem-193	102	41	⟨𝑥∗	⟨𝑥∗	NOUN
fbem-193	102	42	,	,	PUNCT
fbem-193	102	43	𝑥⟩	𝑥⟩	NOUN
fbem-193	102	44	⟨𝑥∗	⟨𝑥∗	PROPN
fbem-193	102	45	,	,	PUNCT
fbem-193	102	46	𝑦⟩𝑑𝜇	𝑦⟩𝑑𝜇	PROPN
fbem-193	102	47	𝑦	𝑦	NOUN
fbem-193	102	48	(	(	PUNCT
fbem-193	102	49	10	10	NUM
fbem-193	102	50	)	)	PUNCT
fbem-193	102	51	2.3.2	2.3.2	NUM
fbem-193	102	52	.	.	PUNCT
fbem-193	103	1	logistic	logistic	ADJ
fbem-193	103	2	regression	regression	NOUN
fbem-193	103	3	model	model	NOUN
fbem-193	103	4	logistic	logistic	ADJ
fbem-193	103	5	regression	regression	NOUN
fbem-193	103	6	is	be	AUX
fbem-193	103	7	a	a	DET
fbem-193	103	8	common	common	ADJ
fbem-193	103	9	binary	binary	ADJ
fbem-193	103	10	classification	classification	NOUN
fbem-193	103	11	algorithm	algorithm	NOUN
fbem-193	103	12	model	model	NOUN
fbem-193	103	13	.	.	PUNCT
fbem-193	104	1	although	although	SCONJ
fbem-193	104	2	it	it	PRON
fbem-193	104	3	has	have	VERB
fbem-193	104	4	the	the	DET
fbem-193	104	5	word	word	NOUN
fbem-193	104	6	regression	regression	NOUN
fbem-193	104	7	,	,	PUNCT
fbem-193	104	8	it	it	PRON
fbem-193	104	9	is	be	AUX
fbem-193	104	10	a	a	DET
fbem-193	104	11	classification	classification	NOUN
fbem-193	104	12	model	model	NOUN
fbem-193	104	13	.	.	PUNCT
fbem-193	105	1	it	it	PRON
fbem-193	105	2	is	be	AUX
fbem-193	105	3	mainly	mainly	ADV
fbem-193	105	4	used	use	VERB
fbem-193	105	5	in	in	ADP
fbem-193	105	6	epidemiology	epidemiology	NOUN
fbem-193	105	7	.	.	PUNCT
fbem-193	106	1	it	it	PRON
fbem-193	106	2	is	be	AUX
fbem-193	106	3	often	often	ADV
fbem-193	106	4	used	use	VERB
fbem-193	106	5	to	to	PART
fbem-193	106	6	explore	explore	VERB
fbem-193	106	7	the	the	DET
fbem-193	106	8	risk	risk	NOUN
fbem-193	106	9	factors	factor	NOUN
fbem-193	106	10	of	of	ADP
fbem-193	106	11	the	the	DET
fbem-193	106	12	disease	disease	NOUN
fbem-193	106	13	and	and	CCONJ
fbem-193	106	14	predict	predict	VERB
fbem-193	106	15	the	the	DET
fbem-193	106	16	probability	probability	NOUN
fbem-193	106	17	of	of	ADP
fbem-193	106	18	a	a	DET
fbem-193	106	19	disease	disease	NOUN
fbem-193	106	20	according	accord	VERB
fbem-193	106	21	to	to	ADP
fbem-193	106	22	the	the	DET
fbem-193	106	23	risk	risk	NOUN
fbem-193	106	24	factors	factor	NOUN
fbem-193	106	25	,	,	PUNCT
fbem-193	106	26	which	which	PRON
fbem-193	106	27	is	be	AUX
fbem-193	106	28	similar	similar	ADJ
fbem-193	106	29	to	to	ADP
fbem-193	106	30	the	the	DET
fbem-193	106	31	background	background	NOUN
fbem-193	106	32	of	of	ADP
fbem-193	106	33	this	this	DET
fbem-193	106	34	question	question	NOUN
fbem-193	106	35	.	.	PUNCT
fbem-193	107	1	the	the	DET
fbem-193	107	2	basic	basic	ADJ
fbem-193	107	3	form	form	NOUN
fbem-193	107	4	of	of	ADP
fbem-193	107	5	the	the	DET
fbem-193	107	6	logistic	logistic	ADJ
fbem-193	107	7	model	model	NOUN
fbem-193	107	8	is	be	AUX
fbem-193	107	9	shown	show	VERB
fbem-193	107	10	in	in	ADP
fbem-193	107	11	equation	equation	NOUN
fbem-193	107	12	(	(	PUNCT
fbem-193	107	13	11	11	NUM
fbem-193	107	14	)	)	PUNCT
fbem-193	107	15	.	.	PUNCT
fbem-193	108	1	however	however	ADV
fbem-193	108	2	,	,	PUNCT
fbem-193	108	3	in	in	ADP
fbem-193	108	4	the	the	DET
fbem-193	108	5	practical	practical	ADJ
fbem-193	108	6	application	application	NOUN
fbem-193	108	7	of	of	ADP
fbem-193	108	8	the	the	DET
fbem-193	108	9	model	model	NOUN
fbem-193	108	10	,	,	PUNCT
fbem-193	108	11	p	p	NOUN
fbem-193	108	12	is	be	AUX
fbem-193	108	13	generally	generally	ADV
fbem-193	108	14	not	not	PART
fbem-193	108	15	directly	directly	ADV
fbem-193	108	16	regressed	regress	VERB
fbem-193	108	17	,	,	PUNCT
fbem-193	108	18	but	but	CCONJ
fbem-193	108	19	the	the	DET
fbem-193	108	20	monotonic	monotonic	ADJ
fbem-193	108	21	continuous	continuous	ADJ
fbem-193	108	22	probability	probability	NOUN
fbem-193	108	23	function	function	NOUN
fbem-193	108	24	π	π	PROPN
fbem-193	108	25	is	be	AUX
fbem-193	108	26	defined	define	VERB
fbem-193	108	27	first	first	ADV
fbem-193	108	28	,	,	PUNCT
fbem-193	108	29	as	as	SCONJ
fbem-193	108	30	shown	show	VERB
fbem-193	108	31	in	in	ADP
fbem-193	108	32	equation	equation	NOUN
fbem-193	108	33	(	(	PUNCT
fbem-193	108	34	12	12	NUM
fbem-193	108	35	)	)	PUNCT
fbem-193	108	36	.	.	PUNCT
fbem-193	109	1	𝑃	𝑃	VERB
fbem-193	109	2	𝑌	𝑌	PROPN
fbem-193	109	3	1|𝑥	1|𝑥	NUM
fbem-193	109	4	,	,	PUNCT
fbem-193	109	5	𝑥	𝑥	PROPN
fbem-193	109	6	.	.	PUNCT
fbem-193	109	7	.	.	PUNCT
fbem-193	109	8	.	.	PUNCT
fbem-193	110	1	𝑥	𝑥	X
fbem-193	110	2	...	...	PUNCT
fbem-193	110	3	...	...	PUNCT
fbem-193	111	1	(	(	PUNCT
fbem-193	111	2	11	11	NUM
fbem-193	111	3	)	)	PUNCT
fbem-193	111	4	𝜋	𝜋	NOUN
fbem-193	111	5	𝑃	𝑃	NOUN
fbem-193	111	6	𝑌	𝑌	PROPN
fbem-193	111	7	1|𝑥	1|𝑥	NUM
fbem-193	111	8	,	,	PUNCT
fbem-193	111	9	𝑥	𝑥	PROPN
fbem-193	111	10	.	.	PUNCT
fbem-193	111	11	.	.	PUNCT
fbem-193	111	12	.	.	PUNCT
fbem-193	112	1	𝑥	𝑥	NOUN
fbem-193	112	2	0	0	NUM
fbem-193	113	1	𝜋	𝜋	NOUN
fbem-193	113	2	1	1	NUM
fbem-193	113	3	(	(	PUNCT
fbem-193	113	4	12	12	NUM
fbem-193	113	5	)	)	PUNCT
fbem-193	113	6	therefore	therefore	ADV
fbem-193	113	7	,	,	PUNCT
fbem-193	113	8	the	the	DET
fbem-193	113	9	logistic	logistic	ADJ
fbem-193	113	10	model	model	NOUN
fbem-193	113	11	is	be	AUX
fbem-193	113	12	transformed	transform	VERB
fbem-193	113	13	into	into	ADP
fbem-193	113	14	equation	equation	NOUN
fbem-193	113	15	(	(	PUNCT
fbem-193	113	16	13	13	NUM
fbem-193	113	17	):	):	PUNCT
fbem-193	113	18	𝑃	𝑃	NOUN
fbem-193	113	19	𝑌	𝑌	PROPN
fbem-193	113	20	1|𝑥	1|𝑥	NUM
fbem-193	113	21	,	,	PUNCT
fbem-193	113	22	𝑥	𝑥	PROPN
fbem-193	113	23	.	.	PUNCT
fbem-193	113	24	.	.	PUNCT
fbem-193	113	25	.	.	PUNCT
fbem-193	114	1	𝑥	𝑥	X
fbem-193	114	2	...	...	PUNCT
fbem-193	114	3	...	...	PUNCT
fbem-193	115	1	(	(	PUNCT
fbem-193	115	2	13	13	NUM
fbem-193	115	3	)	)	PUNCT
fbem-193	115	4	according	accord	VERB
fbem-193	115	5	to	to	ADP
fbem-193	115	6	the	the	DET
fbem-193	115	7	above	above	ADJ
fbem-193	115	8	principles	principle	NOUN
fbem-193	115	9	,	,	PUNCT
fbem-193	115	10	this	this	DET
fbem-193	115	11	paper	paper	NOUN
fbem-193	115	12	establishes	establish	VERB
fbem-193	115	13	a	a	DET
fbem-193	115	14	logistic	logistic	ADJ
fbem-193	115	15	binary	binary	ADJ
fbem-193	115	16	classification	classification	NOUN
fbem-193	115	17	model	model	NOUN
fbem-193	115	18	,	,	PUNCT
fbem-193	115	19	taking	take	VERB
fbem-193	115	20	bce	bce	NOUN
fbem-193	115	21	as	as	ADP
fbem-193	115	22	the	the	DET
fbem-193	115	23	loss	loss	NOUN
fbem-193	115	24	function	function	NOUN
fbem-193	115	25	,	,	PUNCT
fbem-193	115	26	and	and	CCONJ
fbem-193	115	27	its	its	PRON
fbem-193	115	28	calculation	calculation	NOUN
fbem-193	115	29	formula	formula	NOUN
fbem-193	115	30	is	be	AUX
fbem-193	115	31	shown	show	VERB
fbem-193	115	32	in	in	ADP
fbem-193	115	33	equation	equation	NOUN
fbem-193	115	34	(	(	PUNCT
fbem-193	115	35	14	14	NUM
fbem-193	115	36	)	)	PUNCT
fbem-193	115	37	.	.	PUNCT
fbem-193	116	1	where	where	SCONJ
fbem-193	116	2	y	y	PROPN
fbem-193	116	3	is	be	AUX
fbem-193	116	4	the	the	DET
fbem-193	116	5	label	label	NOUN
fbem-193	116	6	0	0	NUM
fbem-193	116	7	or	or	CCONJ
fbem-193	116	8	1	1	NUM
fbem-193	116	9	,	,	PUNCT
fbem-193	116	10	a	a	PRON
fbem-193	116	11	is	be	AUX
fbem-193	116	12	the	the	DET
fbem-193	116	13	output	output	NOUN
fbem-193	116	14	of	of	ADP
fbem-193	116	15	the	the	DET
fbem-193	116	16	network	network	NOUN
fbem-193	116	17	through	through	ADP
fbem-193	116	18	the	the	DET
fbem-193	116	19	sigmoid	sigmoid	NOUN
fbem-193	116	20	function	function	NOUN
fbem-193	116	21	,	,	PUNCT
fbem-193	116	22	the	the	DET
fbem-193	116	23	range	range	NOUN
fbem-193	116	24	is	be	AUX
fbem-193	116	25	(	(	PUNCT
fbem-193	116	26	0,1	0,1	NUM
fbem-193	116	27	)	)	PUNCT
fbem-193	116	28	,	,	PUNCT
fbem-193	116	29	and	and	CCONJ
fbem-193	116	30	n	n	PRON
fbem-193	116	31	is	be	AUX
fbem-193	116	32	the	the	DET
fbem-193	116	33	number	number	NOUN
fbem-193	116	34	of	of	ADP
fbem-193	116	35	samples	sample	NOUN
fbem-193	116	36	.	.	PUNCT
fbem-193	117	1	the	the	DET
fbem-193	117	2	network	network	NOUN
fbem-193	117	3	outputs	output	VERB
fbem-193	117	4	a	a	DET
fbem-193	117	5	value	value	NOUN
fbem-193	117	6	,	,	PUNCT
fbem-193	117	7	and	and	CCONJ
fbem-193	117	8	bce	bce	PROPN
fbem-193	117	9	gives	give	VERB
fbem-193	117	10	a	a	DET
fbem-193	117	11	loss	loss	NOUN
fbem-193	117	12	according	accord	VERB
fbem-193	117	13	to	to	ADP
fbem-193	117	14	the	the	DET
fbem-193	117	15	value	value	NOUN
fbem-193	117	16	and	and	CCONJ
fbem-193	117	17	the	the	DET
fbem-193	117	18	corresponding	correspond	VERB
fbem-193	117	19	label	label	NOUN
fbem-193	117	20	.	.	PUNCT
fbem-193	118	1	𝑙𝑜𝑠𝑠	𝑙𝑜𝑠𝑠	NOUN
fbem-193	118	2	∑	∑	PROPN
fbem-193	118	3	𝑦	𝑦	NOUN
fbem-193	118	4	𝑙𝑛	𝑙𝑛	NOUN
fbem-193	118	5	𝑎	𝑎	PROPN
fbem-193	118	6	1	1	NUM
fbem-193	118	7	𝑦	𝑦	NUM
fbem-193	118	8	𝑙𝑛	𝑙𝑛	NOUN
fbem-193	118	9	1	1	NUM
fbem-193	118	10	𝑎	𝑎	PRON
fbem-193	118	11	(	(	PUNCT
fbem-193	118	12	14	14	NUM
fbem-193	118	13	)	)	PUNCT
fbem-193	118	14	all	all	DET
fbem-193	118	15	models	model	NOUN
fbem-193	118	16	adopt	adopt	VERB
fbem-193	118	17	50	50	NUM
fbem-193	118	18	%	%	NOUN
fbem-193	118	19	cross	cross	NOUN
fbem-193	118	20	validation	validation	NOUN
fbem-193	118	21	,	,	PUNCT
fbem-193	118	22	and	and	CCONJ
fbem-193	118	23	then	then	ADV
fbem-193	118	24	realize	realize	VERB
fbem-193	118	25	data	datum	NOUN
fbem-193	118	26	fusion	fusion	NOUN
fbem-193	118	27	through	through	ADP
fbem-193	118	28	choquet	choquet	NOUN
fbem-193	118	29	fuzzy	fuzzy	ADJ
fbem-193	118	30	integral	integral	ADJ
fbem-193	118	31	,	,	PUNCT
fbem-193	118	32	so	so	SCONJ
fbem-193	118	33	as	as	SCONJ
fbem-193	118	34	to	to	PART
fbem-193	118	35	improve	improve	VERB
fbem-193	118	36	the	the	DET
fbem-193	118	37	generalization	generalization	NOUN
fbem-193	118	38	ability	ability	NOUN
fbem-193	118	39	of	of	ADP
fbem-193	118	40	the	the	DET
fbem-193	118	41	model	model	NOUN
fbem-193	118	42	.	.	PUNCT
fbem-193	119	1	2.4	2.4	NUM
fbem-193	119	2	.	.	PUNCT
fbem-193	119	3	nsga	nsga	PROPN
fbem-193	119	4	ii	ii	PROPN
fbem-193	119	5	algorithm	algorithm	PROPN
fbem-193	119	6	nsgaii	nsgaii	ADJ
fbem-193	119	7	algorithm	algorithm	NOUN
fbem-193	119	8	[	[	X
fbem-193	119	9	2	2	NUM
fbem-193	119	10	]	]	PUNCT
fbem-193	119	11	is	be	AUX
fbem-193	119	12	a	a	DET
fbem-193	119	13	genetic	genetic	ADJ
fbem-193	119	14	algorithm	algorithm	NOUN
fbem-193	119	15	that	that	PRON
fbem-193	119	16	sorts	sort	VERB
fbem-193	119	17	the	the	DET
fbem-193	119	18	non	non	X
fbem-193	119	19	dominated	dominate	VERB
fbem-193	119	20	solutions	solution	NOUN
fbem-193	119	21	mixed	mix	VERB
fbem-193	119	22	by	by	ADP
fbem-193	119	23	parents	parent	NOUN
fbem-193	119	24	and	and	CCONJ
fbem-193	119	25	children	child	NOUN
fbem-193	119	26	,	,	PUNCT
fbem-193	119	27	selects	select	VERB
fbem-193	119	28	the	the	DET
fbem-193	119	29	winning	win	VERB
fbem-193	119	30	individuals	individual	NOUN
fbem-193	119	31	according	accord	VERB
fbem-193	119	32	to	to	ADP
fbem-193	119	33	the	the	DET
fbem-193	119	34	crowding	crowd	VERB
fbem-193	119	35	degree	degree	NOUN
fbem-193	119	36	and	and	CCONJ
fbem-193	119	37	crowding	crowd	VERB
fbem-193	119	38	operator	operator	NOUN
fbem-193	119	39	in	in	ADP
fbem-193	119	40	the	the	DET
fbem-193	119	41	same	same	ADJ
fbem-193	119	42	level	level	NOUN
fbem-193	119	43	order	order	NOUN
fbem-193	119	44	,	,	PUNCT
fbem-193	119	45	then	then	ADV
fbem-193	119	46	retains	retain	VERB
fbem-193	119	47	the	the	DET
fbem-193	119	48	elite	elite	ADJ
fbem-193	119	49	solutions	solution	NOUN
fbem-193	119	50	,	,	PUNCT
fbem-193	119	51	and	and	CCONJ
fbem-193	119	52	continues	continue	VERB
fbem-193	119	53	to	to	PART
fbem-193	119	54	cross	cross	VERB
fbem-193	119	55	,	,	PUNCT
fbem-193	119	56	mutate	mutate	ADJ
fbem-193	119	57	and	and	CCONJ
fbem-193	119	58	select	select	ADJ
fbem-193	119	59	until	until	ADP
fbem-193	119	60	the	the	DET
fbem-193	119	61	final	final	ADJ
fbem-193	119	62	convergence	convergence	NOUN
fbem-193	119	63	.	.	PUNCT
fbem-193	120	1	it	it	PRON
fbem-193	120	2	proposes	propose	VERB
fbem-193	120	3	a	a	DET
fbem-193	120	4	fast	fast	ADJ
fbem-193	120	5	non	non	NOUN
fbem-193	120	6	dominated	dominate	VERB
fbem-193	120	7	sorting	sorting	NOUN
fbem-193	120	8	.	.	PUNCT
fbem-193	121	1	the	the	DET
fbem-193	121	2	core	core	ADJ
fbem-193	121	3	idea	idea	NOUN
fbem-193	121	4	of	of	ADP
fbem-193	121	5	fast	fast	ADJ
fbem-193	121	6	non	non	NOUN
fbem-193	121	7	dominated	dominate	VERB
fbem-193	121	8	sorting	sorting	NOUN
fbem-193	121	9	is	be	AUX
fbem-193	121	10	to	to	PART
fbem-193	121	11	obtain	obtain	VERB
fbem-193	121	12	the	the	DET
fbem-193	121	13	dominated	dominate	VERB
fbem-193	121	14	degree	degree	NOUN
fbem-193	121	15	np	np	INTJ
fbem-193	121	16	of	of	ADP
fbem-193	121	17	each	each	DET
fbem-193	121	18	p	p	NOUN
fbem-193	121	19	in	in	ADP
fbem-193	121	20	the	the	DET
fbem-193	121	21	population	population	NOUN
fbem-193	121	22	through	through	ADP
fbem-193	121	23	calculation	calculation	NOUN
fbem-193	121	24	and	and	CCONJ
fbem-193	121	25	comparison	comparison	NOUN
fbem-193	121	26	,	,	PUNCT
fbem-193	121	27	and	and	CCONJ
fbem-193	121	28	obtain	obtain	VERB
fbem-193	121	29	a	a	DET
fbem-193	121	30	multi	multi	ADJ
fbem-193	121	31	-	-	ADJ
fbem-193	121	32	layer	layer	ADJ
fbem-193	121	33	non	non	NOUN
fbem-193	121	34	dominated	dominate	VERB
fbem-193	121	35	surface	surface	NOUN
fbem-193	121	36	through	through	ADP
fbem-193	121	37	the	the	DET
fbem-193	121	38	size	size	NOUN
fbem-193	121	39	of	of	ADP
fbem-193	121	40	the	the	DET
fbem-193	121	41	dominant	dominant	ADJ
fbem-193	121	42	degree	degree	NOUN
fbem-193	121	43	,	,	PUNCT
fbem-193	121	44	which	which	PRON
fbem-193	121	45	can	can	AUX
fbem-193	121	46	well	well	ADV
fbem-193	121	47	reduce	reduce	VERB
fbem-193	121	48	the	the	DET
fbem-193	121	49	complexity	complexity	NOUN
fbem-193	121	50	of	of	ADP
fbem-193	121	51	the	the	DET
fbem-193	121	52	algorithm	algorithm	NOUN
fbem-193	121	53	.	.	PUNCT
fbem-193	122	1	in	in	ADP
fbem-193	122	2	addition	addition	NOUN
fbem-193	122	3	,	,	PUNCT
fbem-193	122	4	the	the	DET
fbem-193	122	5	nsgaii	nsgaii	ADJ
fbem-193	122	6	algorithm	algorithm	NOUN
fbem-193	122	7	also	also	ADV
fbem-193	122	8	proposes	propose	VERB
fbem-193	122	9	a	a	DET
fbem-193	122	10	crowded	crowded	ADJ
fbem-193	122	11	comparison	comparison	NOUN
fbem-193	122	12	operator	operator	NOUN
fbem-193	122	13	to	to	PART
fbem-193	122	14	avoid	avoid	VERB
fbem-193	122	15	the	the	DET
fbem-193	122	16	uncertainty	uncertainty	NOUN
fbem-193	122	17	of	of	ADP
fbem-193	122	18	human	human	ADJ
fbem-193	122	19	input	input	NOUN
fbem-193	122	20	parameters	parameter	NOUN
fbem-193	122	21	.	.	PUNCT
fbem-193	123	1	(	(	PUNCT
fbem-193	123	2	1	1	X
fbem-193	123	3	)	)	PUNCT
fbem-193	123	4	non	non	ADJ
fbem-193	123	5	-	-	ADJ
fbem-193	123	6	dominated	dominate	VERB
fbem-193	123	7	solution	solution	NOUN
fbem-193	123	8	:	:	PUNCT
fbem-193	123	9	assuming	assume	VERB
fbem-193	123	10	that	that	SCONJ
fbem-193	123	11	any	any	DET
fbem-193	123	12	two	two	NUM
fbem-193	123	13	solutions	solution	NOUN
fbem-193	123	14	s1	s1	NOUN
fbem-193	123	15	and	and	CCONJ
fbem-193	123	16	s2	s2	NOUN
fbem-193	123	17	are	be	AUX
fbem-193	123	18	better	well	ADJ
fbem-193	123	19	than	than	ADP
fbem-193	123	20	s2	s2	VERB
fbem-193	123	21	for	for	ADP
fbem-193	123	22	all	all	DET
fbem-193	123	23	targets	target	NOUN
fbem-193	123	24	,	,	PUNCT
fbem-193	123	25	s1	s1	NOUN
fbem-193	123	26	dominates	dominate	VERB
fbem-193	123	27	s2	s2	PROPN
fbem-193	123	28	.	.	PUNCT
fbem-193	124	1	if	if	SCONJ
fbem-193	124	2	the	the	DET
fbem-193	124	3	solution	solution	NOUN
fbem-193	124	4	of	of	ADP
fbem-193	124	5	s1	s1	NOUN
fbem-193	124	6	is	be	AUX
fbem-193	124	7	not	not	PART
fbem-193	124	8	dominated	dominate	VERB
fbem-193	124	9	by	by	ADP
fbem-193	124	10	other	other	ADJ
fbem-193	124	11	solutions	solution	NOUN
fbem-193	124	12	,	,	PUNCT
fbem-193	124	13	s1	s1	PROPN
fbem-193	124	14	is	be	AUX
fbem-193	124	15	called	call	VERB
fbem-193	124	16	non	non	NOUN
fbem-193	124	17	dominated	dominate	VERB
fbem-193	124	18	solution	solution	NOUN
fbem-193	124	19	(	(	PUNCT
fbem-193	124	20	non	non	X
fbem-193	124	21	dominated	dominate	VERB
fbem-193	124	22	solution	solution	NOUN
fbem-193	124	23	)	)	PUNCT
fbem-193	124	24	,	,	PUNCT
fbem-193	124	25	also	also	ADV
fbem-193	124	26	known	know	VERB
fbem-193	124	27	as	as	ADP
fbem-193	124	28	pareto	pareto	ADJ
fbem-193	124	29	solution	solution	NOUN
fbem-193	124	30	.	.	PUNCT
fbem-193	125	1	(	(	PUNCT
fbem-193	125	2	2	2	X
fbem-193	125	3	)	)	PUNCT
fbem-193	125	4	congestion	congestion	NOUN
fbem-193	125	5	comparison	comparison	NOUN
fbem-193	125	6	operator	operator	NOUN
fbem-193	125	7	.	.	PUNCT
fbem-193	126	1	firstly	firstly	ADV
fbem-193	126	2	,	,	PUNCT
fbem-193	126	3	the	the	DET
fbem-193	126	4	crowding	crowd	VERB
fbem-193	126	5	distance	distance	NOUN
fbem-193	126	6	is	be	AUX
fbem-193	126	7	defined	define	VERB
fbem-193	126	8	to	to	PART
fbem-193	126	9	quantitatively	quantitatively	ADV
fbem-193	126	10	calculate	calculate	VERB
fbem-193	126	11	the	the	DET
fbem-193	126	12	density	density	NOUN
fbem-193	126	13	of	of	ADP
fbem-193	126	14	each	each	DET
fbem-193	126	15	individual	individual	NOUN
fbem-193	126	16	.	.	PUNCT
fbem-193	127	1	the	the	DET
fbem-193	127	2	calculation	calculation	NOUN
fbem-193	127	3	of	of	ADP
fbem-193	127	4	crowding	crowd	VERB
fbem-193	127	5	distance	distance	NOUN
fbem-193	127	6	needs	need	VERB
fbem-193	127	7	to	to	PART
fbem-193	127	8	first	first	ADV
fbem-193	127	9	sort	sort	VERB
fbem-193	127	10	each	each	DET
fbem-193	127	11	individual	individual	NOUN
fbem-193	127	12	in	in	ADP
fbem-193	127	13	the	the	DET
fbem-193	127	14	same	same	ADJ
fbem-193	127	15	non	non	NOUN
fbem-193	127	16	dominated	dominate	VERB
fbem-193	127	17	surface	surface	NOUN
fbem-193	127	18	in	in	ADP
fbem-193	127	19	ascending	ascend	VERB
fbem-193	127	20	order	order	NOUN
fbem-193	127	21	on	on	ADP
fbem-193	127	22	each	each	DET
fbem-193	127	23	target	target	NOUN
fbem-193	127	24	,	,	PUNCT
fbem-193	127	25	in	in	ADP
fbem-193	127	26	which	which	PRON
fbem-193	127	27	the	the	DET
fbem-193	127	28	crowding	crowd	VERB
fbem-193	127	29	distance	distance	NOUN
fbem-193	127	30	of	of	ADP
fbem-193	127	31	the	the	DET
fbem-193	127	32	individuals	individual	NOUN
fbem-193	127	33	with	with	ADP
fbem-193	127	34	the	the	DET
fbem-193	127	35	maximum	maximum	ADJ
fbem-193	127	36	and	and	CCONJ
fbem-193	127	37	minimum	minimum	ADJ
fbem-193	127	38	values	value	NOUN
fbem-193	127	39	on	on	ADP
fbem-193	127	40	this	this	DET
fbem-193	127	41	target	target	NOUN
fbem-193	127	42	is	be	AUX
fbem-193	127	43	set	set	VERB
fbem-193	127	44	to	to	PART
fbem-193	127	45	infinity	infinity	NOUN
fbem-193	127	46	.	.	PUNCT
fbem-193	128	1	the	the	DET
fbem-193	128	2	crowding	crowd	VERB
fbem-193	128	3	distance	distance	NOUN
fbem-193	128	4	of	of	ADP
fbem-193	128	5	individual	individual	NOUN
fbem-193	128	6	i	i	PRON
fbem-193	128	7	is	be	AUX
fbem-193	128	8	equal	equal	ADJ
fbem-193	128	9	to	to	ADP
fbem-193	128	10	the	the	DET
fbem-193	128	11	sum	sum	NOUN
fbem-193	128	12	of	of	ADP
fbem-193	128	13	the	the	DET
fbem-193	128	14	absolute	absolute	ADJ
fbem-193	128	15	values	value	NOUN
fbem-193	128	16	of	of	ADP
fbem-193	128	17	the	the	DET
fbem-193	128	18	difference	difference	NOUN
fbem-193	128	19	between	between	ADP
fbem-193	128	20	the	the	DET
fbem-193	128	21	function	function	NOUN
fbem-193	128	22	values	value	NOUN
fbem-193	128	23	of	of	ADP
fbem-193	128	24	individual	individual	ADJ
fbem-193	128	25	i-1	i-1	NOUN
fbem-193	128	26	and	and	CCONJ
fbem-193	128	27	i+1	i+1	NUM
fbem-193	128	28	on	on	ADP
fbem-193	128	29	each	each	DET
fbem-193	128	30	target	target	NOUN
fbem-193	128	31	.	.	PUNCT
fbem-193	129	1	through	through	ADP
fbem-193	129	2	the	the	DET
fbem-193	129	3	crowding	crowd	VERB
fbem-193	129	4	distance	distance	NOUN
fbem-193	129	5	,	,	PUNCT
fbem-193	129	6	the	the	DET
fbem-193	129	7	crowding	crowd	VERB
fbem-193	129	8	comparison	comparison	NOUN
fbem-193	129	9	operator	operator	NOUN
fbem-193	129	10	can	can	AUX
fbem-193	129	11	be	be	AUX
fbem-193	129	12	obtained	obtain	VERB
fbem-193	129	13	.	.	PUNCT
fbem-193	130	1	(	(	PUNCT
fbem-193	130	2	3	3	NUM
fbem-193	130	3	)	)	PUNCT
fbem-193	130	4	according	accord	VERB
fbem-193	130	5	to	to	ADP
fbem-193	130	6	the	the	DET
fbem-193	130	7	above	above	ADJ
fbem-193	130	8	model	model	NOUN
fbem-193	130	9	principle	principle	NOUN
fbem-193	130	10	,	,	PUNCT
fbem-193	130	11	firstly	firstly	ADV
fbem-193	130	12	,	,	PUNCT
fbem-193	130	13	set	set	VERB
fbem-193	130	14	the	the	DET
fbem-193	130	15	model	model	NOUN
fbem-193	130	16	objective	objective	ADJ
fbem-193	130	17	function	function	NOUN
fbem-193	130	18	f(x	f(x	PROPN
fbem-193	130	19	)	)	PUNCT
fbem-193	130	20	,	,	PUNCT
fbem-193	130	21	f1(x	f1(x	PROPN
fbem-193	130	22	)	)	PUNCT
fbem-193	130	23	as	as	ADP
fbem-193	130	24	the	the	DET
fbem-193	130	25	value	value	NOUN
fbem-193	130	26	of	of	ADP
fbem-193	130	27	pic50	pic50	NOUN
fbem-193	130	28	predicted	predict	VERB
fbem-193	130	29	by	by	ADP
fbem-193	130	30	molecular	molecular	ADJ
fbem-193	130	31	descriptor	descriptor	NOUN
fbem-193	130	32	data	datum	NOUN
fbem-193	130	33	to	to	PART
fbem-193	130	34	analyze	analyze	VERB
fbem-193	130	35	the	the	DET
fbem-193	130	36	biological	biological	ADJ
fbem-193	130	37	activity	activity	NOUN
fbem-193	130	38	.	.	PUNCT
fbem-193	131	1	the	the	DET
fbem-193	131	2	greater	great	ADJ
fbem-193	131	3	the	the	DET
fbem-193	131	4	value	value	NOUN
fbem-193	131	5	,	,	PUNCT
fbem-193	131	6	the	the	PRON
fbem-193	131	7	higher	high	ADJ
fbem-193	131	8	the	the	DET
fbem-193	131	9	biological	biological	ADJ
fbem-193	131	10	activity	activity	NOUN
fbem-193	131	11	;	;	PUNCT
fbem-193	131	12	f2(x	f2(x	X
fbem-193	131	13	)	)	PUNCT
fbem-193	131	14	is	be	AUX
fbem-193	131	15	to	to	PART
fbem-193	131	16	predict	predict	VERB
fbem-193	131	17	the	the	DET
fbem-193	131	18	admet	admet	PROPN
fbem-193	131	19	property	property	NOUN
fbem-193	131	20	through	through	ADP
fbem-193	131	21	the	the	DET
fbem-193	131	22	molecular	molecular	ADJ
fbem-193	131	23	descriptor	descriptor	NOUN
fbem-193	131	24	data	datum	NOUN
fbem-193	131	25	and	and	CCONJ
fbem-193	131	26	calculate	calculate	VERB
fbem-193	131	27	its	its	PRON
fbem-193	131	28	score	score	NOUN
fbem-193	131	29	.	.	PUNCT
fbem-193	132	1	through	through	ADP
fbem-193	132	2	the	the	DET
fbem-193	132	3	property	property	NOUN
fbem-193	132	4	analysis	analysis	NOUN
fbem-193	132	5	,	,	PUNCT
fbem-193	132	6	it	it	PRON
fbem-193	132	7	is	be	AUX
fbem-193	132	8	proposed	propose	VERB
fbem-193	132	9	to	to	PART
fbem-193	132	10	adopt	adopt	VERB
fbem-193	132	11	the	the	DET
fbem-193	132	12	case	case	NOUN
fbem-193	132	13	that	that	SCONJ
fbem-193	132	14	the	the	DET
fbem-193	132	15	coca-2	coca-2	NUM
fbem-193	132	16	value	value	NOUN
fbem-193	132	17	is	be	AUX
fbem-193	132	18	1	1	NUM
fbem-193	132	19	,	,	PUNCT
fbem-193	132	20	cyp3a4	cyp3a4	NOUN
fbem-193	132	21	value	value	NOUN
fbem-193	132	22	is	be	AUX
fbem-193	132	23	1	1	NUM
fbem-193	132	24	,	,	PUNCT
fbem-193	132	25	herg	herg	PROPN
fbem-193	132	26	value	value	NOUN
fbem-193	132	27	is	be	AUX
fbem-193	132	28	0	0	NUM
fbem-193	132	29	,	,	PUNCT
fbem-193	132	30	hob	hob	NOUN
fbem-193	132	31	value	value	NOUN
fbem-193	132	32	is	be	AUX
fbem-193	132	33	1	1	NUM
fbem-193	132	34	and	and	CCONJ
fbem-193	132	35	mn	mn	PROPN
fbem-193	132	36	value	value	NOUN
fbem-193	132	37	is	be	AUX
fbem-193	132	38	0	0	NUM
fbem-193	132	39	,	,	PUNCT
fbem-193	132	40	indicating	indicate	VERB
fbem-193	132	41	that	that	SCONJ
fbem-193	132	42	the	the	DET
fbem-193	132	43	five	five	NUM
fbem-193	132	44	properties	property	NOUN
fbem-193	132	45	are	be	AUX
fbem-193	132	46	better	well	ADJ
fbem-193	132	47	.	.	PUNCT
fbem-193	133	1	then	then	ADV
fbem-193	133	2	set	set	VERB
fbem-193	133	3	the	the	DET
fbem-193	133	4	inequality	inequality	NOUN
fbem-193	133	5	constraint	constraint	NOUN
fbem-193	133	6	condition	condition	NOUN
fbem-193	133	7	of	of	ADP
fbem-193	133	8	the	the	DET
fbem-193	133	9	model	model	NOUN
fbem-193	133	10	,	,	PUNCT
fbem-193	133	11	g1(x	g1(x	NOUN
fbem-193	133	12	)	)	PUNCT
fbem-193	133	13	is	be	AUX
fbem-193	133	14	the	the	DET
fbem-193	133	15	predicted	predict	VERB
fbem-193	133	16	pic50	pic50	NOUN
fbem-193	133	17	value	value	NOUN
fbem-193	133	18	,	,	PUNCT
fbem-193	133	19	which	which	PRON
fbem-193	133	20	shall	shall	AUX
fbem-193	133	21	not	not	PART
fbem-193	133	22	be	be	AUX
fbem-193	133	23	less	less	ADJ
fbem-193	133	24	than	than	ADP
fbem-193	133	25	a	a	DET
fbem-193	133	26	certain	certain	ADJ
fbem-193	133	27	value	value	NOUN
fbem-193	133	28	;	;	PUNCT
fbem-193	133	29	g2(x	g2(x	X
fbem-193	133	30	)	)	PUNCT
fbem-193	133	31	is	be	AUX
fbem-193	133	32	the	the	DET
fbem-193	133	33	predicted	predict	VERB
fbem-193	133	34	five	five	NUM
fbem-193	133	35	admet	admet	NOUN
fbem-193	133	36	properties	property	NOUN
fbem-193	133	37	,	,	PUNCT
fbem-193	133	38	and	and	CCONJ
fbem-193	133	39	at	at	ADV
fbem-193	133	40	least	least	ADV
fbem-193	133	41	three	three	NUM
fbem-193	133	42	properties	property	NOUN
fbem-193	133	43	are	be	AUX
fbem-193	133	44	good	good	ADJ
fbem-193	133	45	.	.	PUNCT
fbem-193	134	1	finally	finally	ADV
fbem-193	134	2	,	,	PUNCT
fbem-193	134	3	the	the	DET
fbem-193	134	4	objective	objective	ADJ
fbem-193	134	5	function	function	NOUN
fbem-193	134	6	and	and	CCONJ
fbem-193	134	7	constraints	constraint	NOUN
fbem-193	134	8	are	be	AUX
fbem-193	134	9	obtained	obtain	VERB
fbem-193	134	10	,	,	PUNCT
fbem-193	134	11	as	as	SCONJ
fbem-193	134	12	shown	show	VERB
fbem-193	134	13	in	in	ADP
fbem-193	134	14	equation	equation	NOUN
fbem-193	134	15	(	(	PUNCT
fbem-193	134	16	15	15	NUM
fbem-193	134	17	):	):	PUNCT
fbem-193	134	18	𝑓1	𝑓1	ADJ
fbem-193	134	19	𝑋	𝑋	NOUN
fbem-193	134	20	𝑝𝑟𝑒𝑑𝑖𝑐𝑡2	𝑝𝑟𝑒𝑑𝑖𝑐𝑡2	NOUN
fbem-193	134	21	𝑋	𝑋	PROPN
fbem-193	134	22	𝑓2	𝑓2	VERB
fbem-193	134	23	𝑋	𝑋	NOUN
fbem-193	134	24	𝑝𝑟𝑒𝑑𝑖𝑐𝑡3	𝑝𝑟𝑒𝑑𝑖𝑐𝑡3	NOUN
fbem-193	134	25	𝑋	𝑋	PROPN
fbem-193	134	26	𝑔1	𝑔1	PROPN
fbem-193	134	27	𝑋	𝑋	PROPN
fbem-193	134	28	𝑝𝐼𝐶50	𝑝𝐼𝐶50	AUX
fbem-193	134	29	𝑝𝑟𝑒𝑑𝑖𝑐𝑡2	𝑝𝑟𝑒𝑑𝑖𝑐𝑡2	NOUN
fbem-193	134	30	𝑋	𝑋	NOUN
fbem-193	134	31	𝑔2	𝑔2	VERB
fbem-193	134	32	𝑋	𝑋	PROPN
fbem-193	134	33	3	3	NUM
fbem-193	134	34	𝑝𝑟𝑒𝑑𝑖𝑐𝑡3	𝑝𝑟𝑒𝑑𝑖𝑐𝑡3	NOUN
fbem-193	134	35	𝑋	𝑋	PROPN
fbem-193	134	36	(	(	PUNCT
fbem-193	134	37	15	15	NUM
fbem-193	134	38	)	)	PUNCT
fbem-193	134	39	k	k	NOUN
fbem-193	134	40	54	54	NUM
fbem-193	134	41	3	3	NUM
fbem-193	134	42	.	.	PUNCT
fbem-193	134	43	experimental	experimental	ADJ
fbem-193	134	44	results	result	NOUN
fbem-193	134	45	3.1	3.1	NUM
fbem-193	134	46	.	.	PUNCT
fbem-193	135	1	fitting	fitting	ADJ
fbem-193	135	2	effect	effect	NOUN
fbem-193	135	3	of	of	ADP
fbem-193	135	4	prediction	prediction	NOUN
fbem-193	135	5	model	model	NOUN
fbem-193	135	6	comparing	compare	VERB
fbem-193	135	7	the	the	DET
fbem-193	135	8	predicted	predict	VERB
fbem-193	135	9	value	value	NOUN
fbem-193	135	10	of	of	ADP
fbem-193	135	11	the	the	DET
fbem-193	135	12	lightgbm	lightgbm	ADJ
fbem-193	135	13	model	model	NOUN
fbem-193	135	14	with	with	ADP
fbem-193	135	15	the	the	DET
fbem-193	135	16	real	real	ADJ
fbem-193	135	17	value	value	NOUN
fbem-193	135	18	,	,	PUNCT
fbem-193	135	19	the	the	DET
fbem-193	135	20	error	error	NOUN
fbem-193	135	21	is	be	AUX
fbem-193	135	22	obvious	obvious	ADJ
fbem-193	135	23	,	,	PUNCT
fbem-193	135	24	and	and	CCONJ
fbem-193	135	25	the	the	DET
fbem-193	135	26	average	average	ADJ
fbem-193	135	27	absolute	absolute	ADJ
fbem-193	135	28	error	error	NOUN
fbem-193	135	29	(	(	PUNCT
fbem-193	135	30	mae	mae	PROPN
fbem-193	135	31	)	)	PUNCT
fbem-193	135	32	is	be	AUX
fbem-193	135	33	about	about	ADV
fbem-193	135	34	0.42	0.42	NUM
fbem-193	135	35	;	;	PUNCT
fbem-193	135	36	compared	compare	VERB
fbem-193	135	37	with	with	ADP
fbem-193	135	38	the	the	DET
fbem-193	135	39	real	real	ADJ
fbem-193	135	40	value	value	NOUN
fbem-193	135	41	,	,	PUNCT
fbem-193	135	42	the	the	DET
fbem-193	135	43	predicted	predict	VERB
fbem-193	135	44	value	value	NOUN
fbem-193	135	45	of	of	ADP
fbem-193	135	46	the	the	DET
fbem-193	135	47	nn	nn	PROPN
fbem-193	135	48	model	model	NOUN
fbem-193	135	49	and	and	CCONJ
fbem-193	135	50	resnet	resnet	NOUN
fbem-193	135	51	has	have	VERB
fbem-193	135	52	a	a	DET
fbem-193	135	53	good	good	ADJ
fbem-193	135	54	fitting	fitting	ADJ
fbem-193	135	55	effect	effect	NOUN
fbem-193	135	56	.	.	PUNCT
fbem-193	136	1	the	the	DET
fbem-193	136	2	predicted	predict	VERB
fbem-193	136	3	value	value	NOUN
fbem-193	136	4	accurately	accurately	ADV
fbem-193	136	5	describes	describe	VERB
fbem-193	136	6	the	the	DET
fbem-193	136	7	changing	change	VERB
fbem-193	136	8	trend	trend	NOUN
fbem-193	136	9	of	of	ADP
fbem-193	136	10	the	the	DET
fbem-193	136	11	real	real	ADJ
fbem-193	136	12	value	value	NOUN
fbem-193	136	13	,	,	PUNCT
fbem-193	136	14	and	and	CCONJ
fbem-193	136	15	the	the	DET
fbem-193	136	16	average	average	ADJ
fbem-193	136	17	errors	error	NOUN
fbem-193	136	18	are	be	AUX
fbem-193	136	19	about	about	ADV
fbem-193	136	20	0.07	0.07	NUM
fbem-193	136	21	and	and	CCONJ
fbem-193	136	22	0.12	0.12	NUM
fbem-193	136	23	respectively	respectively	ADV
fbem-193	136	24	.	.	PUNCT
fbem-193	137	1	figure	figure	NOUN
fbem-193	137	2	5	5	NUM
fbem-193	137	3	shows	show	VERB
fbem-193	137	4	the	the	DET
fbem-193	137	5	comparison	comparison	NOUN
fbem-193	137	6	between	between	ADP
fbem-193	137	7	the	the	DET
fbem-193	137	8	predicted	predict	VERB
fbem-193	137	9	value	value	NOUN
fbem-193	137	10	and	and	CCONJ
fbem-193	137	11	the	the	DET
fbem-193	137	12	real	real	ADJ
fbem-193	137	13	value	value	NOUN
fbem-193	137	14	of	of	ADP
fbem-193	137	15	resnet	resnet	NOUN
fbem-193	137	16	.	.	PUNCT
fbem-193	138	1	table	table	NOUN
fbem-193	138	2	1	1	NUM
fbem-193	138	3	shows	show	VERB
fbem-193	138	4	the	the	DET
fbem-193	138	5	comparison	comparison	NOUN
fbem-193	138	6	of	of	ADP
fbem-193	138	7	evaluation	evaluation	NOUN
fbem-193	138	8	indexes	index	NOUN
fbem-193	138	9	of	of	ADP
fbem-193	138	10	the	the	DET
fbem-193	138	11	three	three	NUM
fbem-193	138	12	models	model	NOUN
fbem-193	138	13	.	.	PUNCT
fbem-193	139	1	figure	figure	NOUN
fbem-193	139	2	5	5	NUM
fbem-193	139	3	.	.	PUNCT
fbem-193	139	4	comparison	comparison	NOUN
fbem-193	139	5	between	between	ADP
fbem-193	139	6	predicted	predict	VERB
fbem-193	139	7	value	value	NOUN
fbem-193	139	8	and	and	CCONJ
fbem-193	139	9	real	real	ADJ
fbem-193	139	10	value	value	NOUN
fbem-193	139	11	of	of	ADP
fbem-193	139	12	resnet	resnet	ADJ
fbem-193	139	13	table	table	NOUN
fbem-193	139	14	1	1	NUM
fbem-193	139	15	.	.	PUNCT
fbem-193	139	16	comparison	comparison	NOUN
fbem-193	139	17	of	of	ADP
fbem-193	139	18	evaluation	evaluation	NOUN
fbem-193	139	19	indexes	index	NOUN
fbem-193	139	20	of	of	ADP
fbem-193	139	21	each	each	DET
fbem-193	139	22	model	model	NOUN
fbem-193	139	23	model	model	NOUN
fbem-193	139	24	type	type	PROPN
fbem-193	139	25	mae	mae	PROPN
fbem-193	139	26	lightgbm	lightgbm	VERB
fbem-193	139	27	0.422	0.422	NUM
fbem-193	139	28	nn	nn	NUM
fbem-193	139	29	0.140	0.140	NUM
fbem-193	139	30	resnet	resnet	PROPN
fbem-193	139	31	0.069	0.069	NUM
fbem-193	139	32	table	table	NOUN
fbem-193	139	33	1	1	NUM
fbem-193	139	34	shows	show	VERB
fbem-193	139	35	the	the	DET
fbem-193	139	36	average	average	ADJ
fbem-193	139	37	absolute	absolute	ADJ
fbem-193	139	38	errors	error	NOUN
fbem-193	139	39	of	of	ADP
fbem-193	139	40	the	the	DET
fbem-193	139	41	above	above	ADJ
fbem-193	139	42	three	three	NUM
fbem-193	139	43	models	model	NOUN
fbem-193	139	44	are	be	AUX
fbem-193	139	45	0.422	0.422	NUM
fbem-193	139	46	,	,	PUNCT
fbem-193	139	47	0.140	0.140	NUM
fbem-193	139	48	,	,	PUNCT
fbem-193	139	49	and	and	CCONJ
fbem-193	139	50	0.069	0.069	NUM
fbem-193	139	51	.	.	PUNCT
fbem-193	140	1	from	from	ADP
fbem-193	140	2	the	the	DET
fbem-193	140	3	analysis	analysis	NOUN
fbem-193	140	4	of	of	ADP
fbem-193	140	5	the	the	DET
fbem-193	140	6	above	above	ADJ
fbem-193	140	7	table	table	NOUN
fbem-193	140	8	,	,	PUNCT
fbem-193	140	9	it	it	PRON
fbem-193	140	10	can	can	AUX
fbem-193	140	11	be	be	AUX
fbem-193	140	12	seen	see	VERB
fbem-193	140	13	that	that	SCONJ
fbem-193	140	14	the	the	DET
fbem-193	140	15	prediction	prediction	NOUN
fbem-193	140	16	data	datum	NOUN
fbem-193	140	17	of	of	ADP
fbem-193	140	18	nn	nn	PROPN
fbem-193	140	19	and	and	CCONJ
fbem-193	140	20	resnet	resnet	NOUN
fbem-193	140	21	models	model	NOUN
fbem-193	140	22	have	have	VERB
fbem-193	140	23	better	well	ADJ
fbem-193	140	24	estimation	estimation	NOUN
fbem-193	140	25	advantages	advantage	NOUN
fbem-193	140	26	.	.	PUNCT
fbem-193	141	1	the	the	DET
fbem-193	141	2	average	average	ADJ
fbem-193	141	3	absolute	absolute	ADJ
fbem-193	141	4	error	error	NOUN
fbem-193	141	5	is	be	AUX
fbem-193	141	6	as	as	ADV
fbem-193	141	7	low	low	ADJ
fbem-193	141	8	as	as	ADP
fbem-193	141	9	0.06	0.06	NUM
fbem-193	141	10	.	.	PROPN
fbem-193	142	1	3.2	3.2	NUM
fbem-193	142	2	.	.	PUNCT
fbem-193	143	1	fitting	fitting	ADJ
fbem-193	143	2	effect	effect	NOUN
fbem-193	143	3	of	of	ADP
fbem-193	143	4	classification	classification	NOUN
fbem-193	143	5	model	model	NOUN
fbem-193	143	6	the	the	DET
fbem-193	143	7	sample	sample	NOUN
fbem-193	143	8	data	datum	NOUN
fbem-193	143	9	of	of	ADP
fbem-193	143	10	main	main	ADJ
fbem-193	143	11	variables	variable	NOUN
fbem-193	143	12	are	be	AUX
fbem-193	143	13	divided	divide	VERB
fbem-193	143	14	into	into	ADP
fbem-193	143	15	a	a	DET
fbem-193	143	16	training	training	NOUN
fbem-193	143	17	set	set	NOUN
fbem-193	143	18	and	and	CCONJ
fbem-193	143	19	verification	verification	NOUN
fbem-193	143	20	set	set	NOUN
fbem-193	143	21	,	,	PUNCT
fbem-193	143	22	in	in	ADP
fbem-193	143	23	which	which	PRON
fbem-193	143	24	the	the	DET
fbem-193	143	25	verification	verification	NOUN
fbem-193	143	26	set	set	VERB
fbem-193	143	27	accounts	account	NOUN
fbem-193	143	28	for	for	ADP
fbem-193	143	29	20	20	NUM
fbem-193	143	30	%	%	NOUN
fbem-193	143	31	of	of	ADP
fbem-193	143	32	the	the	DET
fbem-193	143	33	total	total	ADJ
fbem-193	143	34	data	datum	NOUN
fbem-193	143	35	set	set	VERB
fbem-193	143	36	,	,	PUNCT
fbem-193	143	37	and	and	CCONJ
fbem-193	143	38	the	the	DET
fbem-193	143	39	test	test	NOUN
fbem-193	143	40	results	result	NOUN
fbem-193	143	41	are	be	AUX
fbem-193	143	42	shown	show	VERB
fbem-193	143	43	in	in	ADP
fbem-193	143	44	the	the	DET
fbem-193	143	45	following	follow	VERB
fbem-193	143	46	figure	figure	NOUN
fbem-193	143	47	:	:	PUNCT
fbem-193	143	48	figure	figure	NOUN
fbem-193	143	49	6	6	NUM
fbem-193	143	50	shows	show	VERB
fbem-193	143	51	the	the	DET
fbem-193	143	52	prediction	prediction	NOUN
fbem-193	143	53	results	result	NOUN
fbem-193	143	54	of	of	ADP
fbem-193	143	55	lightgbm	lightgbm	ADJ
fbem-193	143	56	,	,	PUNCT
fbem-193	143	57	logistic	logistic	ADJ
fbem-193	143	58	,	,	PUNCT
fbem-193	143	59	resnet	resnet	NOUN
fbem-193	143	60	,	,	PUNCT
fbem-193	143	61	and	and	CCONJ
fbem-193	143	62	choquet	choquet	VERB
fbem-193	143	63	fusion	fusion	NOUN
fbem-193	143	64	models	model	NOUN
fbem-193	143	65	for	for	ADP
fbem-193	143	66	the	the	DET
fbem-193	143	67	training	training	NOUN
fbem-193	143	68	set	set	NOUN
fbem-193	143	69	,	,	PUNCT
fbem-193	143	70	"	"	PUNCT
fbem-193	143	71	1	1	NUM
fbem-193	143	72	"	"	PUNCT
fbem-193	143	73	means	mean	VERB
fbem-193	143	74	the	the	DET
fbem-193	143	75	prediction	prediction	NOUN
fbem-193	143	76	is	be	AUX
fbem-193	143	77	correct	correct	ADJ
fbem-193	143	78	,	,	PUNCT
fbem-193	143	79	and	and	CCONJ
fbem-193	143	80	"	"	PUNCT
fbem-193	143	81	0	0	NUM
fbem-193	143	82	"	"	PUNCT
fbem-193	143	83	means	mean	VERB
fbem-193	143	84	the	the	DET
fbem-193	143	85	55	55	NUM
fbem-193	143	86	prediction	prediction	NOUN
fbem-193	143	87	fails	fail	VERB
fbem-193	143	88	.	.	PUNCT
fbem-193	144	1	it	it	PRON
fbem-193	144	2	can	can	AUX
fbem-193	144	3	be	be	AUX
fbem-193	144	4	seen	see	VERB
fbem-193	144	5	that	that	SCONJ
fbem-193	144	6	the	the	DET
fbem-193	144	7	overall	overall	ADJ
fbem-193	144	8	prediction	prediction	NOUN
fbem-193	144	9	effect	effect	NOUN
fbem-193	144	10	of	of	ADP
fbem-193	144	11	the	the	DET
fbem-193	144	12	four	four	NUM
fbem-193	144	13	models	model	NOUN
fbem-193	144	14	is	be	AUX
fbem-193	144	15	good	good	ADJ
fbem-193	144	16	,	,	PUNCT
fbem-193	144	17	in	in	ADP
fbem-193	144	18	which	which	PRON
fbem-193	144	19	the	the	DET
fbem-193	144	20	prediction	prediction	NOUN
fbem-193	144	21	effect	effect	NOUN
fbem-193	144	22	error	error	NOUN
fbem-193	144	23	of	of	ADP
fbem-193	144	24	the	the	DET
fbem-193	144	25	logistic	logistic	ADJ
fbem-193	144	26	model	model	NOUN
fbem-193	144	27	is	be	AUX
fbem-193	144	28	obvious	obvious	ADJ
fbem-193	144	29	,	,	PUNCT
fbem-193	144	30	and	and	CCONJ
fbem-193	144	31	the	the	DET
fbem-193	144	32	prediction	prediction	NOUN
fbem-193	144	33	effect	effect	NOUN
fbem-193	144	34	of	of	ADP
fbem-193	144	35	the	the	DET
fbem-193	144	36	choquet	choquet	NOUN
fbem-193	144	37	fusion	fusion	NOUN
fbem-193	144	38	model	model	NOUN
fbem-193	144	39	is	be	AUX
fbem-193	144	40	more	more	ADV
fbem-193	144	41	ideal	ideal	ADJ
fbem-193	144	42	.	.	PUNCT
fbem-193	145	1	figure	figure	VERB
fbem-193	145	2	6	6	NUM
fbem-193	145	3	.	.	PUNCT
fbem-193	145	4	prediction	prediction	NOUN
fbem-193	145	5	results	result	NOUN
fbem-193	145	6	of	of	ADP
fbem-193	145	7	four	four	NUM
fbem-193	145	8	models	model	NOUN
fbem-193	145	9	firstly	firstly	ADV
fbem-193	145	10	,	,	PUNCT
fbem-193	145	11	this	this	DET
fbem-193	145	12	paper	paper	NOUN
fbem-193	145	13	analyzes	analyze	VERB
fbem-193	145	14	that	that	SCONJ
fbem-193	145	15	there	there	PRON
fbem-193	145	16	is	be	VERB
fbem-193	145	17	no	no	DET
fbem-193	145	18	extreme	extreme	ADJ
fbem-193	145	19	imbalance	imbalance	NOUN
fbem-193	145	20	in	in	ADP
fbem-193	145	21	the	the	DET
fbem-193	145	22	distribution	distribution	NOUN
fbem-193	145	23	of	of	ADP
fbem-193	145	24	data	datum	NOUN
fbem-193	145	25	categories	category	NOUN
fbem-193	145	26	in	in	ADP
fbem-193	145	27	admet	admet	NOUN
fbem-193	145	28	,	,	PUNCT
fbem-193	145	29	and	and	CCONJ
fbem-193	145	30	uses	use	VERB
fbem-193	145	31	accuracy	accuracy	NOUN
fbem-193	145	32	and	and	CCONJ
fbem-193	145	33	f1	f1	NOUN
fbem-193	145	34	-	-	PUNCT
fbem-193	145	35	score	score	NOUN
fbem-193	145	36	as	as	ADP
fbem-193	145	37	the	the	DET
fbem-193	145	38	evaluation	evaluation	NOUN
fbem-193	145	39	index	index	NOUN
fbem-193	145	40	of	of	ADP
fbem-193	145	41	the	the	DET
fbem-193	145	42	model	model	NOUN
fbem-193	145	43	.	.	PUNCT
fbem-193	146	1	figure	figure	VERB
fbem-193	146	2	7	7	NUM
fbem-193	146	3	shows	show	VERB
fbem-193	146	4	the	the	DET
fbem-193	146	5	accuracy	accuracy	NOUN
fbem-193	146	6	evaluation	evaluation	NOUN
fbem-193	146	7	results	result	NOUN
fbem-193	146	8	of	of	ADP
fbem-193	146	9	lightgbm	lightgbm	ADJ
fbem-193	146	10	,	,	PUNCT
fbem-193	146	11	logistic	logistic	ADJ
fbem-193	146	12	,	,	PUNCT
fbem-193	146	13	resnet	resnet	NOUN
fbem-193	146	14	and	and	CCONJ
fbem-193	146	15	choquet	choquet	VERB
fbem-193	146	16	fusion	fusion	NOUN
fbem-193	146	17	models	model	NOUN
fbem-193	146	18	.	.	PUNCT
fbem-193	147	1	table	table	NOUN
fbem-193	147	2	2	2	NUM
fbem-193	147	3	.	.	PUNCT
fbem-193	147	4	comparison	comparison	NOUN
fbem-193	147	5	of	of	ADP
fbem-193	147	6	model	model	NOUN
fbem-193	147	7	evaluation	evaluation	NOUN
fbem-193	147	8	indexes	index	NOUN
fbem-193	147	9	model	model	NOUN
fbem-193	147	10	type	type	NOUN
fbem-193	147	11	f1	f1	NOUN
fbem-193	147	12	-	-	PUNCT
fbem-193	147	13	score	score	NOUN
fbem-193	147	14	accuracy	accuracy	NOUN
fbem-193	147	15	lightgbm	lightgbm	VERB
fbem-193	147	16	0.87	0.87	NUM
fbem-193	147	17	0.94	0.94	NUM
fbem-193	147	18	logistics	logistic	NOUN
fbem-193	147	19	0.84	0.84	NUM
fbem-193	147	20	0.87	0.87	NUM
fbem-193	147	21	resnet	resnet	NOUN
fbem-193	147	22	0.93	0.93	NUM
fbem-193	147	23	0.97	0.97	NUM
fbem-193	147	24	choquet	choquet	NOUN
fbem-193	147	25	fusion	fusion	NOUN
fbem-193	147	26	model	model	NOUN
fbem-193	147	27	0.93	0.93	NUM
fbem-193	147	28	0.98	0.98	NUM
fbem-193	147	29	table	table	NOUN
fbem-193	147	30	2	2	NUM
fbem-193	147	31	shows	show	VERB
fbem-193	147	32	that	that	SCONJ
fbem-193	147	33	the	the	DET
fbem-193	147	34	results	result	NOUN
fbem-193	147	35	of	of	ADP
fbem-193	147	36	choquet	choquet	NOUN
fbem-193	147	37	fusion	fusion	NOUN
fbem-193	147	38	after	after	SCONJ
fbem-193	147	39	50	50	NUM
fbem-193	147	40	%	%	NOUN
fbem-193	147	41	cross	cross	ADJ
fbem-193	147	42	-	-	ADJ
fbem-193	147	43	validation	validation	ADJ
fbem-193	147	44	improve	improve	VERB
fbem-193	147	45	the	the	DET
fbem-193	147	46	generalization	generalization	NOUN
fbem-193	147	47	ability	ability	NOUN
fbem-193	147	48	of	of	ADP
fbem-193	147	49	the	the	DET
fbem-193	147	50	model	model	NOUN
fbem-193	147	51	and	and	CCONJ
fbem-193	147	52	improve	improve	VERB
fbem-193	147	53	the	the	DET
fbem-193	147	54	accuracy	accuracy	NOUN
fbem-193	147	55	of	of	ADP
fbem-193	147	56	model	model	NOUN
fbem-193	147	57	classification	classification	NOUN
fbem-193	147	58	to	to	ADP
fbem-193	147	59	varying	vary	VERB
fbem-193	147	60	degrees	degree	NOUN
fbem-193	147	61	.	.	PUNCT
fbem-193	148	1	among	among	ADP
fbem-193	148	2	them	they	PRON
fbem-193	148	3	,	,	PUNCT
fbem-193	148	4	the	the	DET
fbem-193	148	5	effect	effect	NOUN
fbem-193	148	6	of	of	ADP
fbem-193	148	7	the	the	DET
fbem-193	148	8	logistics	logistic	NOUN
fbem-193	148	9	model	model	NOUN
fbem-193	148	10	is	be	AUX
fbem-193	148	11	not	not	PART
fbem-193	148	12	ideal	ideal	ADJ
fbem-193	148	13	,	,	PUNCT
fbem-193	148	14	the	the	DET
fbem-193	148	15	effect	effect	NOUN
fbem-193	148	16	of	of	ADP
fbem-193	148	17	the	the	DET
fbem-193	148	18	choquet	choquet	NOUN
fbem-193	148	19	fusion	fusion	NOUN
fbem-193	148	20	model	model	NOUN
fbem-193	148	21	is	be	AUX
fbem-193	148	22	the	the	DET
fbem-193	148	23	best	good	ADJ
fbem-193	148	24	,	,	PUNCT
fbem-193	148	25	and	and	CCONJ
fbem-193	148	26	each	each	DET
fbem-193	148	27	model	model	NOUN
fbem-193	148	28	has	have	VERB
fbem-193	148	29	a	a	DET
fbem-193	148	30	good	good	ADJ
fbem-193	148	31	classification	classification	NOUN
fbem-193	148	32	effect	effect	NOUN
fbem-193	148	33	on	on	ADP
fbem-193	148	34	the	the	DET
fbem-193	148	35	properties	property	NOUN
fbem-193	148	36	of	of	ADP
fbem-193	148	37	cyp3a4	cyp3a4	PROPN
fbem-193	148	38	in	in	ADP
fbem-193	148	39	admet	admet	PROPN
fbem-193	148	40	.	.	PUNCT
fbem-193	149	1	3.3	3.3	NUM
fbem-193	149	2	.	.	PUNCT
fbem-193	150	1	optimizing	optimize	VERB
fbem-193	150	2	modeling	modeling	NOUN
fbem-193	150	3	effect	effect	NOUN
fbem-193	150	4	the	the	DET
fbem-193	150	5	numerical	numerical	ADJ
fbem-193	150	6	variation	variation	NOUN
fbem-193	150	7	trend	trend	NOUN
fbem-193	150	8	of	of	ADP
fbem-193	150	9	molecular	molecular	ADJ
fbem-193	150	10	descriptors	descriptor	NOUN
fbem-193	150	11	is	be	AUX
fbem-193	150	12	shown	show	VERB
fbem-193	150	13	in	in	ADP
fbem-193	150	14	figure	figure	NOUN
fbem-193	150	15	8	8	NUM
fbem-193	150	16	.	.	PUNCT
fbem-193	151	1	more	more	ADJ
fbem-193	151	2	than	than	ADP
fbem-193	151	3	70	70	NUM
fbem-193	151	4	%	%	NOUN
fbem-193	151	5	of	of	ADP
fbem-193	151	6	molecular	molecular	ADJ
fbem-193	151	7	descriptors	descriptor	NOUN
fbem-193	151	8	can	can	AUX
fbem-193	151	9	basically	basically	ADV
fbem-193	151	10	outline	outline	VERB
fbem-193	151	11	the	the	DET
fbem-193	151	12	value	value	NOUN
fbem-193	151	13	range	range	NOUN
fbem-193	151	14	under	under	ADP
fbem-193	151	15	the	the	DET
fbem-193	151	16	condition	condition	NOUN
fbem-193	151	17	of	of	ADP
fbem-193	151	18	good	good	ADJ
fbem-193	151	19	biological	biological	ADJ
fbem-193	151	20	activity	activity	NOUN
fbem-193	151	21	.	.	PUNCT
fbem-193	152	1	the	the	DET
fbem-193	152	2	value	value	NOUN
fbem-193	152	3	range	range	NOUN
fbem-193	152	4	results	result	NOUN
fbem-193	152	5	of	of	ADP
fbem-193	152	6	some	some	DET
fbem-193	152	7	representative	representative	ADJ
fbem-193	152	8	molecular	molecular	ADJ
fbem-193	152	9	descriptors	descriptor	NOUN
fbem-193	152	10	are	be	AUX
fbem-193	152	11	shown	show	VERB
fbem-193	152	12	in	in	ADP
fbem-193	152	13	table	table	NOUN
fbem-193	152	14	3	3	NUM
fbem-193	152	15	.	.	X
fbem-193	152	16	56	56	NUM
fbem-193	152	17	figure	figure	NOUN
fbem-193	152	18	7	7	NUM
fbem-193	152	19	.	.	NOUN
fbem-193	152	20	accuracy	accuracy	NOUN
fbem-193	152	21	evaluation	evaluation	NOUN
fbem-193	152	22	results	result	NOUN
fbem-193	152	23	of	of	ADP
fbem-193	152	24	four	four	NUM
fbem-193	152	25	models	model	NOUN
fbem-193	152	26	figure	figure	VERB
fbem-193	152	27	8	8	NUM
fbem-193	152	28	.	.	PUNCT
fbem-193	153	1	change	change	NOUN
fbem-193	153	2	trend	trend	NOUN
fbem-193	153	3	of	of	ADP
fbem-193	153	4	some	some	DET
fbem-193	153	5	molecular	molecular	ADJ
fbem-193	153	6	descriptors	descriptor	NOUN
fbem-193	153	7	57	57	NUM
fbem-193	153	8	table	table	NOUN
fbem-193	153	9	3	3	NUM
fbem-193	153	10	.	.	PUNCT
fbem-193	153	11	value	value	NOUN
fbem-193	153	12	range	range	NOUN
fbem-193	153	13	of	of	ADP
fbem-193	153	14	partial	partial	ADJ
fbem-193	153	15	molecular	molecular	ADJ
fbem-193	153	16	descriptors	descriptor	NOUN
fbem-193	153	17	molecular	molecular	ADJ
fbem-193	153	18	descriptor	descriptor	NOUN
fbem-193	153	19	value	value	NOUN
fbem-193	153	20	range	range	NOUN
fbem-193	153	21	atsc5	atsc5	NOUN
fbem-193	154	1	[	[	X
fbem-193	154	2	0.4	0.4	NUM
fbem-193	154	3	,	,	PUNCT
fbem-193	154	4	0.6	0.6	NUM
fbem-193	154	5	]	]	PUNCT
fbem-193	154	6	atsc4	atsc4	VERB
fbem-193	155	1	[	[	X
fbem-193	155	2	-0.9	-0.9	NOUN
fbem-193	155	3	,	,	PUNCT
fbem-193	155	4	-0.7	-0.7	PROPN
fbem-193	155	5	]	]	PUNCT
fbem-193	155	6	atsc3	atsc3	X
fbem-193	156	1	[	[	X
fbem-193	156	2	0.4	0.4	NUM
fbem-193	156	3	,	,	PUNCT
fbem-193	156	4	0.45	0.45	NUM
fbem-193	156	5	]	]	PUNCT
fbem-193	156	6	alogp2	alogp2	PUNCT
fbem-193	157	1	[	[	X
fbem-193	157	2	140	140	NUM
fbem-193	157	3	,	,	PUNCT
fbem-193	157	4	150	150	NUM
fbem-193	157	5	]	]	PUNCT
fbem-193	157	6	xlogp	xlogp	NOUN
fbem-193	158	1	[	[	X
fbem-193	158	2	11	11	NUM
fbem-193	158	3	,	,	PUNCT
fbem-193	158	4	13	13	NUM
fbem-193	158	5	]	]	PUNCT
fbem-193	158	6	bcutp-1l	bcutp-1l	PUNCT
fbem-193	159	1	[	[	X
fbem-193	159	2	5.3	5.3	NUM
fbem-193	159	3	,	,	PUNCT
fbem-193	159	4	5.7	5.7	NUM
fbem-193	159	5	]	]	PUNCT
fbem-193	159	6	eta_shape_y	eta_shape_y	PROPN
fbem-193	160	1	[	[	X
fbem-193	160	2	0.38	0.38	NUM
fbem-193	160	3	,	,	PUNCT
fbem-193	160	4	0.42	0.42	NUM
fbem-193	160	5	]	]	X
fbem-193	160	6	minhbd	minhbd	NOUN
fbem-193	161	1	[	[	X
fbem-193	161	2	0.7	0.7	NUM
fbem-193	161	3	,	,	PUNCT
fbem-193	161	4	0.75	0.75	NUM
fbem-193	161	5	]	]	PUNCT
fbem-193	161	6	hmin	hmin	NOUN
fbem-193	162	1	[	[	X
fbem-193	162	2	0.3	0.3	NUM
fbem-193	162	3	,	,	PUNCT
fbem-193	162	4	0.4	0.4	NUM
fbem-193	162	5	]	]	PUNCT
fbem-193	162	6	minsch3	minsch3	NOUN
fbem-193	163	1	[	[	X
fbem-193	163	2	2.3	2.3	NUM
fbem-193	163	3	,	,	PUNCT
fbem-193	163	4	2.5	2.5	NUM
fbem-193	163	5	]	]	PUNCT
fbem-193	163	6	minhba	minhba	NOUN
fbem-193	163	7	[	[	X
fbem-193	163	8	12	12	NUM
fbem-193	163	9	,	,	PUNCT
fbem-193	163	10	14	14	NUM
fbem-193	163	11	]	]	SYM
fbem-193	163	12	eta_shape_p	eta_shape_p	PROPN
fbem-193	164	1	[	[	X
fbem-193	164	2	0.3	0.3	NUM
fbem-193	164	3	,	,	PUNCT
fbem-193	164	4	0.35	0.35	NUM
fbem-193	164	5	]	]	X
fbem-193	164	6	topopsa	topopsa	NOUN
fbem-193	164	7	[	[	X
fbem-193	164	8	840	840	NUM
fbem-193	164	9	,	,	PUNCT
fbem-193	164	10	900	900	NUM
fbem-193	164	11	]	]	X
fbem-193	164	12	mdec-22	mdec-22	PROPN
fbem-193	164	13	[	[	X
fbem-193	164	14	5	5	NUM
fbem-193	164	15	,	,	PUNCT
fbem-193	164	16	10	10	NUM
fbem-193	164	17	]	]	SYM
fbem-193	164	18	4	4	NUM
fbem-193	164	19	.	.	X
fbem-193	164	20	conclusion	conclusion	NOUN
fbem-193	164	21	in	in	ADP
fbem-193	164	22	this	this	DET
fbem-193	164	23	paper	paper	NOUN
fbem-193	164	24	,	,	PUNCT
fbem-193	164	25	we	we	PRON
fbem-193	164	26	make	make	VERB
fbem-193	164	27	full	full	ADJ
fbem-193	164	28	use	use	NOUN
fbem-193	164	29	of	of	ADP
fbem-193	164	30	grey	grey	ADJ
fbem-193	164	31	correlation	correlation	NOUN
fbem-193	164	32	analysis	analysis	NOUN
fbem-193	164	33	,	,	PUNCT
fbem-193	164	34	spearman	spearman	NOUN
fbem-193	164	35	correlation	correlation	NOUN
fbem-193	164	36	coefficient	coefficient	NOUN
fbem-193	164	37	analysis	analysis	NOUN
fbem-193	164	38	,	,	PUNCT
fbem-193	164	39	fusion	fusion	NOUN
fbem-193	164	40	tree	tree	NOUN
fbem-193	164	41	model	model	NOUN
fbem-193	164	42	,	,	PUNCT
fbem-193	164	43	and	and	CCONJ
fbem-193	164	44	l1	l1	PROPN
fbem-193	164	45	,	,	PUNCT
fbem-193	164	46	l2	l2	NOUN
fbem-193	164	47	penalty	penalty	NOUN
fbem-193	164	48	item	item	NOUN
fbem-193	164	49	lightgbm	lightgbm	ADJ
fbem-193	164	50	,	,	PUNCT
fbem-193	164	51	resnet	resnet	NOUN
fbem-193	164	52	,	,	PUNCT
fbem-193	164	53	nn	nn	ADJ
fbem-193	164	54	,	,	PUNCT
fbem-193	164	55	logistic	logistic	ADJ
fbem-193	164	56	,	,	PUNCT
fbem-193	164	57	choquet	choquet	VERB
fbem-193	164	58	fuzzy	fuzzy	ADJ
fbem-193	164	59	integral	integral	ADJ
fbem-193	164	60	,	,	PUNCT
fbem-193	164	61	and	and	CCONJ
fbem-193	164	62	nsgaii	nsgaii	PRON
fbem-193	164	63	algorithm	algorithm	NOUN
fbem-193	164	64	to	to	PART
fbem-193	164	65	study	study	VERB
fbem-193	164	66	the	the	DET
fbem-193	164	67	optimal	optimal	ADJ
fbem-193	164	68	modeling	modeling	NOUN
fbem-193	164	69	of	of	ADP
fbem-193	164	70	anti	anti	ADJ
fbem-193	164	71	-	-	ADJ
fbem-193	164	72	breast	breast	ADJ
fbem-193	164	73	cancer	cancer	NOUN
fbem-193	164	74	drug	drug	NOUN
fbem-193	164	75	candidates	candidate	NOUN
fbem-193	164	76	.	.	PUNCT
fbem-193	165	1	the	the	DET
fbem-193	165	2	depth	depth	NOUN
fbem-193	165	3	learning	learning	NOUN
fbem-193	165	4	model	model	NOUN
fbem-193	165	5	based	base	VERB
fbem-193	165	6	on	on	ADP
fbem-193	165	7	nn	nn	X
fbem-193	165	8	neural	neural	ADJ
fbem-193	165	9	network	network	NOUN
fbem-193	165	10	and	and	CCONJ
fbem-193	165	11	resnet	resnet	ADJ
fbem-193	165	12	residual	residual	ADJ
fbem-193	165	13	network	network	NOUN
fbem-193	165	14	have	have	VERB
fbem-193	165	15	higher	high	ADJ
fbem-193	165	16	accuracy	accuracy	NOUN
fbem-193	165	17	,	,	PUNCT
fbem-193	165	18	better	well	ADV
fbem-193	165	19	fitting	fitting	ADJ
fbem-193	165	20	effect	effect	NOUN
fbem-193	165	21	,	,	PUNCT
fbem-193	165	22	and	and	CCONJ
fbem-193	165	23	more	more	ADV
fbem-193	165	24	accurate	accurate	ADJ
fbem-193	165	25	prediction	prediction	NOUN
fbem-193	165	26	results	result	NOUN
fbem-193	165	27	.	.	PUNCT
fbem-193	166	1	through	through	ADP
fbem-193	166	2	the	the	DET
fbem-193	166	3	comparison	comparison	NOUN
fbem-193	166	4	of	of	ADP
fbem-193	166	5	the	the	DET
fbem-193	166	6	three	three	NUM
fbem-193	166	7	models	model	NOUN
fbem-193	166	8	,	,	PUNCT
fbem-193	166	9	the	the	DET
fbem-193	166	10	accuracy	accuracy	NOUN
fbem-193	166	11	of	of	ADP
fbem-193	166	12	the	the	DET
fbem-193	166	13	prediction	prediction	NOUN
fbem-193	166	14	results	result	NOUN
fbem-193	166	15	of	of	ADP
fbem-193	166	16	this	this	DET
fbem-193	166	17	question	question	NOUN
fbem-193	166	18	is	be	AUX
fbem-193	166	19	ensured	ensure	VERB
fbem-193	166	20	.	.	PUNCT
fbem-193	167	1	the	the	DET
fbem-193	167	2	fuzzy	fuzzy	ADJ
fbem-193	167	3	integral	integral	ADJ
fbem-193	167	4	fusion	fusion	NOUN
fbem-193	167	5	multi	multi	ADJ
fbem-193	167	6	-	-	ADJ
fbem-193	167	7	fold	fold	ADJ
fbem-193	167	8	verification	verification	NOUN
fbem-193	167	9	model	model	NOUN
fbem-193	167	10	is	be	AUX
fbem-193	167	11	used	use	VERB
fbem-193	167	12	to	to	PART
fbem-193	167	13	improve	improve	VERB
fbem-193	167	14	the	the	DET
fbem-193	167	15	accuracy	accuracy	NOUN
fbem-193	167	16	and	and	CCONJ
fbem-193	167	17	generalization	generalization	NOUN
fbem-193	167	18	ability	ability	NOUN
fbem-193	167	19	.	.	PUNCT
fbem-193	168	1	nsgaⅱ	nsgaⅱ	NOUN
fbem-193	168	2	algorithm	algorithm	NOUN
fbem-193	168	3	is	be	AUX
fbem-193	168	4	used	use	VERB
fbem-193	168	5	to	to	PART
fbem-193	168	6	optimize	optimize	VERB
fbem-193	168	7	the	the	DET
fbem-193	168	8	value	value	NOUN
fbem-193	168	9	of	of	ADP
fbem-193	168	10	molecular	molecular	ADJ
fbem-193	168	11	descriptor	descriptor	NOUN
fbem-193	168	12	,	,	PUNCT
fbem-193	168	13	and	and	CCONJ
fbem-193	168	14	the	the	DET
fbem-193	168	15	value	value	NOUN
fbem-193	168	16	range	range	NOUN
fbem-193	168	17	of	of	ADP
fbem-193	168	18	molecular	molecular	ADJ
fbem-193	168	19	descriptor	descriptor	NOUN
fbem-193	168	20	in	in	ADP
fbem-193	168	21	the	the	DET
fbem-193	168	22	case	case	NOUN
fbem-193	168	23	of	of	ADP
fbem-193	168	24	high	high	ADJ
fbem-193	168	25	biological	biological	ADJ
fbem-193	168	26	activity	activity	NOUN
fbem-193	168	27	is	be	AUX
fbem-193	168	28	obtained	obtain	VERB
fbem-193	168	29	.	.	PUNCT
fbem-193	169	1	however	however	ADV
fbem-193	169	2	,	,	PUNCT
fbem-193	169	3	in	in	ADP
fbem-193	169	4	the	the	DET
fbem-193	169	5	classification	classification	NOUN
fbem-193	169	6	model	model	NOUN
fbem-193	169	7	,	,	PUNCT
fbem-193	169	8	the	the	DET
fbem-193	169	9	distribution	distribution	NOUN
fbem-193	169	10	of	of	ADP
fbem-193	169	11	target	target	NOUN
fbem-193	169	12	classes	class	NOUN
fbem-193	169	13	is	be	AUX
fbem-193	169	14	still	still	ADV
fbem-193	169	15	unbalanced	unbalanced	ADJ
fbem-193	169	16	,	,	PUNCT
fbem-193	169	17	and	and	CCONJ
fbem-193	169	18	the	the	DET
fbem-193	169	19	accuracy	accuracy	NOUN
fbem-193	169	20	used	use	VERB
fbem-193	169	21	in	in	ADP
fbem-193	169	22	training	training	NOUN
fbem-193	169	23	may	may	AUX
fbem-193	169	24	not	not	PART
fbem-193	169	25	well	well	ADV
fbem-193	169	26	reflect	reflect	VERB
fbem-193	169	27	the	the	DET
fbem-193	169	28	real	real	ADJ
fbem-193	169	29	generalization	generalization	NOUN
fbem-193	169	30	accuracy	accuracy	NOUN
fbem-193	169	31	.	.	PUNCT
fbem-193	170	1	references	reference	NOUN
fbem-193	170	2	[	[	X
fbem-193	170	3	1	1	X
fbem-193	170	4	]	]	PUNCT
fbem-193	170	5	ni	ni	PROPN
fbem-193	170	6	wenting	wenting	NOUN
fbem-193	170	7	.	.	PUNCT
fbem-193	171	1	exploring	explore	VERB
fbem-193	171	2	the	the	DET
fbem-193	171	3	effect	effect	NOUN
fbem-193	171	4	of	of	ADP
fbem-193	171	5	cryptotanshinone	cryptotanshinone	NOUN
fbem-193	171	6	on	on	ADP
fbem-193	171	7	erα+	erα+	NOUN
fbem-193	171	8	based	base	VERB
fbem-193	171	9	on	on	ADP
fbem-193	171	10	bcrp	bcrp	ADV
fbem-193	171	11	molecular	molecular	ADJ
fbem-193	171	12	mechanism	mechanism	NOUN
fbem-193	171	13	of	of	ADP
fbem-193	171	14	proliferation	proliferation	NOUN
fbem-193	171	15	inhibition	inhibition	NOUN
fbem-193	171	16	in	in	ADP
fbem-193	171	17	breast	breast	NOUN
fbem-193	171	18	cancer	cancer	NOUN
fbem-193	172	1	[	[	X
fbem-193	172	2	d	d	X
fbem-193	172	3	]	]	X
fbem-193	172	4	.	.	PUNCT
fbem-193	173	1	nanjing	nanjing	PROPN
fbem-193	173	2	university	university	PROPN
fbem-193	173	3	of	of	ADP
fbem-193	173	4	chinese	chinese	ADJ
fbem-193	173	5	medicine	medicine	NOUN
fbem-193	173	6	,	,	PUNCT
fbem-193	173	7	2019	2019	NUM
fbem-193	173	8	.	.	PUNCT
fbem-193	174	1	[	[	X
fbem-193	174	2	2	2	X
fbem-193	174	3	]	]	PUNCT
fbem-193	174	4	deb	deb	PROPN
fbem-193	174	5	k	k	PROPN
fbem-193	174	6	,	,	PUNCT
fbem-193	174	7	pratap	pratap	PROPN
fbem-193	174	8	a	a	PROPN
fbem-193	174	9	,	,	PUNCT
fbem-193	174	10	agarwal	agarwal	PROPN
fbem-193	174	11	s	s	PROPN
fbem-193	174	12	,	,	PUNCT
fbem-193	174	13	et	et	PROPN
fbem-193	174	14	al	al	PROPN
fbem-193	174	15	.	.	PUNCT
fbem-193	175	1	a	a	DET
fbem-193	175	2	fast	fast	ADJ
fbem-193	175	3	and	and	CCONJ
fbem-193	175	4	elitist	elitist	ADJ
fbem-193	175	5	multiobjective	multiobjective	ADJ
fbem-193	175	6	genetic	genetic	ADJ
fbem-193	175	7	algorithm	algorithm	NOUN
fbem-193	175	8	:	:	PUNCT
fbem-193	175	9	nsga	nsga	NOUN
fbem-193	175	10	-	-	PUNCT
fbem-193	175	11	ii[j	ii[j	PRON
fbem-193	175	12	]	]	PUNCT
fbem-193	175	13	.	.	PUNCT
fbem-193	176	1	ieee	ieee	NOUN
fbem-193	176	2	transactions	transaction	NOUN
fbem-193	176	3	on	on	ADP
fbem-193	176	4	evolutionary	evolutionary	ADJ
fbem-193	176	5	computation	computation	NOUN
fbem-193	176	6	,	,	PUNCT
fbem-193	176	7	2002	2002	NUM
fbem-193	176	8	,	,	PUNCT
fbem-193	176	9	6(2	6(2	NUM
fbem-193	176	10	):	):	PUNCT
fbem-193	176	11	182	182	NUM
fbem-193	176	12	-	-	SYM
fbem-193	176	13	197	197	NUM
fbem-193	176	14	.	.	PUNCT
fbem-193	177	1	[	[	X
fbem-193	177	2	3	3	X
fbem-193	177	3	]	]	PUNCT
fbem-193	177	4	he	he	PRON
fbem-193	177	5	k	k	PROPN
fbem-193	177	6	,	,	PUNCT
fbem-193	177	7	zhang	zhang	PROPN
fbem-193	177	8	x	x	X
fbem-193	177	9	,	,	PUNCT
fbem-193	177	10	ren	ren	PROPN
fbem-193	177	11	s	s	PART
fbem-193	177	12	,	,	PUNCT
fbem-193	177	13	et	et	PROPN
fbem-193	177	14	al	al	PROPN
fbem-193	177	15	.	.	PROPN
fbem-193	177	16	residual	residual	ADJ
fbem-193	177	17	for	for	ADP
fbem-193	177	18	image	image	NOUN
fbem-193	177	19	recognition[j	recognition[j	NOUN
fbem-193	177	20	]	]	PUNCT
fbem-193	177	21	.	.	PUNCT
fbem-193	178	1	ieee	ieee	PROPN
fbem-193	178	2	,	,	PUNCT
fbem-193	178	3	2016	2016	NUM
fbem-193	178	4	.	.	PUNCT
fbem-193	179	1	[	[	X
fbem-193	179	2	4	4	NUM
fbem-193	179	3	]	]	X
fbem-193	179	4	meng	meng	PROPN
fbem-193	179	5	q.	q.	PROPN
fbem-193	179	6	lightgbm	lightgbm	VERB
fbem-193	179	7	:	:	PUNCT
fbem-193	179	8	a	a	DET
fbem-193	179	9	highly	highly	ADV
fbem-193	179	10	efficient	efficient	ADJ
fbem-193	179	11	gradient	gradient	NOUN
fbem-193	179	12	boosting	boost	VERB
fbem-193	179	13	decision	decision	NOUN
fbem-193	179	14	tree	tree	NOUN
fbem-193	179	15	.	.	PUNCT
fbem-193	180	1	2018	2018	NUM
fbem-193	180	2	.	.	PUNCT
fbem-193	181	1	[	[	X
fbem-193	181	2	5	5	X
fbem-193	181	3	]	]	X
fbem-193	181	4	islam	islam	PROPN
fbem-193	181	5	m	m	PROPN
fbem-193	181	6	a	a	PROPN
fbem-193	181	7	,	,	PUNCT
fbem-193	181	8	anderson	anderson	PROPN
fbem-193	181	9	dt	dt	PROPN
fbem-193	181	10	,	,	PUNCT
fbem-193	181	11	pinar	pinar	PROPN
fbem-193	181	12	a	a	DET
fbem-193	181	13	j	j	PROPN
fbem-193	181	14	,	,	PUNCT
fbem-193	181	15	et	et	PROPN
fbem-193	181	16	al	al	PROPN
fbem-193	181	17	.	.	PROPN
fbem-193	181	18	enabling	enable	VERB
fbem-193	181	19	explainable	explainable	ADJ
fbem-193	181	20	fusion	fusion	NOUN
fbem-193	181	21	in	in	ADP
fbem-193	181	22	deep	deep	ADJ
fbem-193	181	23	learning	learning	NOUN
fbem-193	181	24	with	with	ADP
fbem-193	181	25	fuzzy	fuzzy	ADJ
fbem-193	181	26	integral	integral	ADJ
fbem-193	181	27	neural	neural	ADJ
fbem-193	181	28	networks[j	networks[j	PROPN
fbem-193	181	29	]	]	X
fbem-193	181	30	.	.	PUNCT
fbem-193	182	1	ieee	ieee	NOUN
fbem-193	182	2	transactions	transaction	NOUN
fbem-193	182	3	on	on	ADP
fbem-193	182	4	fuzzy	fuzzy	ADJ
fbem-193	182	5	systems	system	NOUN
fbem-193	182	6	,	,	PUNCT
fbem-193	182	7	2019	2019	NUM
fbem-193	182	8	.	.	PUNCT