id	sid	tid	token	lemma	pos
bracis-28382	1	1	ensemble	ensemble	ADJ
bracis-28382	1	2	architectures	architecture	NOUN
bracis-28382	1	3	and	and	CCONJ
bracis-28382	1	4	 	 	SPACE
bracis-28382	1	5	efficient	efficient	ADJ
bracis-28382	1	6	fusion	fusion	NOUN
bracis-28382	1	7	techniques	technique	NOUN
bracis-28382	1	8	for	for	ADP
bracis-28382	1	9	 	 	SPACE
bracis-28382	1	10	convolutional	convolutional	ADJ
bracis-28382	1	11	neural	neural	ADJ
bracis-28382	1	12	networks	network	NOUN
bracis-28382	1	13	:	:	PUNCT
bracis-28382	1	14	an	an	DET
bracis-28382	1	15	analysis	analysis	NOUN
bracis-28382	1	16	on	on	ADP
bracis-28382	1	17	 	 	SPACE
bracis-28382	1	18	resource	resource	NOUN
bracis-28382	1	19	optimization	optimization	NOUN
bracis-28382	1	20	strategies	strategy	NOUN
bracis-28382	1	21	|	|	ADV
bracis-28382	1	22	springer	springer	NOUN
bracis-28382	1	23	nature	nature	PROPN
bracis-28382	1	24	link	link	PROPN
bracis-28382	1	25	(	(	PUNCT
bracis-28382	1	26	formerly	formerly	ADV
bracis-28382	1	27	springerlink	springerlink	NOUN
bracis-28382	1	28	)	)	PUNCT
bracis-28382	1	29	skip	skip	VERB
bracis-28382	1	30	to	to	ADP
bracis-28382	1	31	main	main	ADJ
bracis-28382	1	32	content	content	NOUN
bracis-28382	1	33	advertisement	advertisement	NOUN
bracis-28382	1	34	log	log	NOUN
bracis-28382	1	35	in	in	ADP
bracis-28382	1	36	menu	menu	NOUN
bracis-28382	1	37	find	find	VERB
bracis-28382	1	38	a	a	DET
bracis-28382	1	39	journal	journal	NOUN
bracis-28382	1	40	publish	publish	VERB
bracis-28382	1	41	with	with	ADP
bracis-28382	1	42	us	we	PRON
bracis-28382	1	43	track	track	VERB
bracis-28382	1	44	your	your	PRON
bracis-28382	1	45	research	research	NOUN
bracis-28382	1	46	search	search	NOUN
bracis-28382	1	47	cart	cart	NOUN
bracis-28382	1	48	home	home	NOUN
bracis-28382	1	49	intelligent	intelligent	ADJ
bracis-28382	1	50	systems	system	NOUN
bracis-28382	1	51	conference	conference	NOUN
bracis-28382	1	52	paper	paper	NOUN
bracis-28382	1	53	ensemble	ensemble	ADJ
bracis-28382	1	54	architectures	architecture	NOUN
bracis-28382	1	55	and	and	CCONJ
bracis-28382	1	56	 	 	SPACE
bracis-28382	1	57	efficient	efficient	ADJ
bracis-28382	1	58	fusion	fusion	NOUN
bracis-28382	1	59	techniques	technique	NOUN
bracis-28382	1	60	for	for	ADP
bracis-28382	1	61	 	 	SPACE
bracis-28382	1	62	convolutional	convolutional	ADJ
bracis-28382	1	63	neural	neural	ADJ
bracis-28382	1	64	networks	network	NOUN
bracis-28382	1	65	:	:	PUNCT
bracis-28382	1	66	an	an	DET
bracis-28382	1	67	analysis	analysis	NOUN
bracis-28382	1	68	on	on	ADP
bracis-28382	1	69	 	 	SPACE
bracis-28382	1	70	resource	resource	NOUN
bracis-28382	1	71	optimization	optimization	NOUN
bracis-28382	1	72	strategies	strategy	NOUN
bracis-28382	1	73	conference	conference	NOUN
bracis-28382	1	74	paper	paper	NOUN
bracis-28382	1	75	first	first	ADV
bracis-28382	1	76	online	online	ADV
bracis-28382	1	77	:	:	PUNCT
bracis-28382	1	78	12	12	NUM
bracis-28382	1	79	october	october	NOUN
bracis-28382	1	80	2023	2023	NUM
bracis-28382	1	81	pp	pp	SYM
bracis-28382	1	82	107–121	107–121	NUM
bracis-28382	1	83	cite	cite	VERB
bracis-28382	1	84	this	this	DET
bracis-28382	1	85	conference	conference	NOUN
bracis-28382	1	86	paper	paper	NOUN
bracis-28382	1	87	access	access	NOUN
bracis-28382	1	88	provided	provide	VERB
bracis-28382	1	89	by	by	ADP
bracis-28382	1	90	university	university	PROPN
bracis-28382	1	91	of	of	ADP
bracis-28382	1	92	notre	notre	PROPN
bracis-28382	1	93	dame	dame	PROPN
bracis-28382	1	94	hesburgh	hesburgh	PROPN
bracis-28382	1	95	library	library	PROPN
bracis-28382	1	96	download	download	PROPN
bracis-28382	1	97	book	book	NOUN
bracis-28382	1	98	pdf	pdf	PROPN
bracis-28382	1	99	download	download	NOUN
bracis-28382	1	100	book	book	NOUN
bracis-28382	1	101	epub	epub	PROPN
bracis-28382	1	102	intelligent	intelligent	ADJ
bracis-28382	1	103	systems	system	NOUN
bracis-28382	1	104	(	(	PUNCT
bracis-28382	1	105	bracis	bracis	NOUN
bracis-28382	1	106	2023	2023	NUM
bracis-28382	1	107	)	)	PUNCT
bracis-28382	1	108	ensemble	ensemble	ADJ
bracis-28382	1	109	architectures	architecture	NOUN
bracis-28382	1	110	and	and	CCONJ
bracis-28382	1	111	 	 	SPACE
bracis-28382	1	112	efficient	efficient	ADJ
bracis-28382	1	113	fusion	fusion	NOUN
bracis-28382	1	114	techniques	technique	NOUN
bracis-28382	1	115	for	for	ADP
bracis-28382	1	116	 	 	SPACE
bracis-28382	1	117	convolutional	convolutional	ADJ
bracis-28382	1	118	neural	neural	ADJ
bracis-28382	1	119	networks	network	NOUN
bracis-28382	1	120	:	:	PUNCT
bracis-28382	1	121	an	an	DET
bracis-28382	1	122	analysis	analysis	NOUN
bracis-28382	1	123	on	on	ADP
bracis-28382	1	124	 	 	SPACE
bracis-28382	1	125	resource	resource	NOUN
bracis-28382	1	126	optimization	optimization	NOUN
bracis-28382	1	127	strategies	strategy	NOUN
bracis-28382	1	128	download	download	NOUN
bracis-28382	1	129	book	book	NOUN
bracis-28382	1	130	pdf	pdf	PROPN
bracis-28382	1	131	download	download	NOUN
bracis-28382	1	132	book	book	PROPN
bracis-28382	1	133	epub	epub	PROPN
bracis-28382	1	134	cícero	cícero	PROPN
bracis-28382	1	135	l.	l.	PROPN
bracis-28382	1	136	costa	costa	PROPN
bracis-28382	1	137	  	  	SPACE
bracis-28382	1	138	orcid	orcid	NOUN
bracis-28382	1	139	:	:	PUNCT
bracis-28382	1	140	orcid.org/0000-0003-3789-50749,10	orcid.org/0000-0003-3789-50749,10	NOUN
bracis-28382	1	141	,	,	PUNCT
bracis-28382	1	142	danielli	danielli	PROPN
bracis-28382	1	143	a.	a.	PROPN
bracis-28382	1	144	lima	lima	PROPN
bracis-28382	1	145	  	  	SPACE
bracis-28382	1	146	orcid	orcid	NOUN
bracis-28382	1	147	:	:	PUNCT
bracis-28382	1	148	orcid.org/0000-0003-0324-66909	orcid.org/0000-0003-0324-66909	ADJ
bracis-28382	1	149	,	,	PUNCT
bracis-28382	1	150	celia	celia	PROPN
bracis-28382	1	151	a.	a.	PROPN
bracis-28382	1	152	zorzo	zorzo	PROPN
bracis-28382	1	153	barcelos10	barcelos10	PROPN
bracis-28382	1	154	&	&	CCONJ
bracis-28382	1	155	…	…	PUNCT
bracis-28382	1	156	bruno	bruno	PROPN
bracis-28382	1	157	a.	a.	PROPN
bracis-28382	1	158	n.	n.	PROPN
bracis-28382	1	159	travençolo	travençolo	PROPN
bracis-28382	1	160	  	  	SPACE
bracis-28382	1	161	orcid	orcid	NOUN
bracis-28382	1	162	:	:	PUNCT
bracis-28382	1	163	orcid.org/0000-0001-7690-301x10	orcid.org/0000-0001-7690-301x10	PROPN
bracis-28382	1	164	  	  	SPACE
bracis-28382	1	165	show	show	VERB
bracis-28382	1	166	authors	author	NOUN
bracis-28382	1	167	part	part	NOUN
bracis-28382	1	168	of	of	ADP
bracis-28382	1	169	the	the	DET
bracis-28382	1	170	book	book	NOUN
bracis-28382	1	171	series	series	NOUN
bracis-28382	1	172	:	:	PUNCT
bracis-28382	1	173	lecture	lecture	NOUN
bracis-28382	1	174	notes	note	NOUN
bracis-28382	1	175	in	in	ADP
bracis-28382	1	176	computer	computer	NOUN
bracis-28382	1	177	science	science	NOUN
bracis-28382	1	178	(	(	PUNCT
bracis-28382	1	179	(	(	PUNCT
bracis-28382	1	180	lnai	lnai	ADJ
bracis-28382	1	181	,	,	PUNCT
bracis-28382	1	182	volume	volume	NOUN
bracis-28382	1	183	14196	14196	NUM
bracis-28382	1	184	)	)	PUNCT
bracis-28382	1	185	)	)	PUNCT
bracis-28382	1	186	included	include	VERB
bracis-28382	1	187	in	in	ADP
bracis-28382	1	188	the	the	DET
bracis-28382	1	189	following	follow	VERB
bracis-28382	1	190	conference	conference	NOUN
bracis-28382	1	191	series	series	NOUN
bracis-28382	1	192	:	:	PUNCT
bracis-28382	1	193	brazilian	brazilian	ADJ
bracis-28382	1	194	conference	conference	NOUN
bracis-28382	1	195	on	on	ADP
bracis-28382	1	196	intelligent	intelligent	ADJ
bracis-28382	1	197	systems	system	NOUN
bracis-28382	1	198	533	533	NUM
bracis-28382	1	199	accesses	access	NOUN
bracis-28382	1	200	2	2	NUM
bracis-28382	1	201	citations	citation	NOUN
bracis-28382	1	202	abstract	abstract	ADP
bracis-28382	1	203	the	the	DET
bracis-28382	1	204	human	human	ADJ
bracis-28382	1	205	gastrointestinal	gastrointestinal	ADJ
bracis-28382	1	206	tract	tract	NOUN
bracis-28382	1	207	is	be	AUX
bracis-28382	1	208	prone	prone	ADJ
bracis-28382	1	209	to	to	ADP
bracis-28382	1	210	various	various	ADJ
bracis-28382	1	211	abnormalities	abnormality	NOUN
bracis-28382	1	212	,	,	PUNCT
bracis-28382	1	213	including	include	VERB
bracis-28382	1	214	lethal	lethal	ADJ
bracis-28382	1	215	diseases	disease	NOUN
bracis-28382	1	216	such	such	ADJ
bracis-28382	1	217	as	as	ADP
bracis-28382	1	218	cancer	cancer	NOUN
bracis-28382	1	219	,	,	PUNCT
bracis-28382	1	220	necessitating	necessitate	VERB
bracis-28382	1	221	better	well	ADJ
bracis-28382	1	222	endoscopic	endoscopic	ADJ
bracis-28382	1	223	performance	performance	NOUN
bracis-28382	1	224	and	and	CCONJ
bracis-28382	1	225	standardized	standardized	ADJ
bracis-28382	1	226	screening	screening	NOUN
bracis-28382	1	227	.	.	PUNCT
bracis-28382	2	1	endoscopic	endoscopic	ADJ
bracis-28382	2	2	scoring	scoring	NOUN
bracis-28382	2	3	systems	system	NOUN
bracis-28382	2	4	lack	lack	VERB
bracis-28382	2	5	generalizability	generalizability	NOUN
bracis-28382	2	6	,	,	PUNCT
bracis-28382	2	7	emphasizing	emphasize	VERB
bracis-28382	2	8	the	the	DET
bracis-28382	2	9	need	need	NOUN
bracis-28382	2	10	for	for	ADP
bracis-28382	2	11	artificial	artificial	ADJ
bracis-28382	2	12	intelligence	intelligence	NOUN
bracis-28382	2	13	-	-	PUNCT
bracis-28382	2	14	based	base	VERB
bracis-28382	2	15	solutions	solution	NOUN
bracis-28382	2	16	.	.	PUNCT
bracis-28382	3	1	using	use	VERB
bracis-28382	3	2	the	the	DET
bracis-28382	3	3	hyperkvasir	hyperkvasir	NOUN
bracis-28382	3	4	dataset	dataset	NOUN
bracis-28382	3	5	,	,	PUNCT
bracis-28382	3	6	we	we	PRON
bracis-28382	3	7	employed	employ	VERB
bracis-28382	3	8	deep	deep	ADJ
bracis-28382	3	9	learning	learning	NOUN
bracis-28382	3	10	,	,	PUNCT
bracis-28382	3	11	specifically	specifically	ADV
bracis-28382	3	12	convolutional	convolutional	ADJ
bracis-28382	3	13	neural	neural	ADJ
bracis-28382	3	14	networks	network	NOUN
bracis-28382	3	15	,	,	PUNCT
bracis-28382	3	16	or	or	CCONJ
bracis-28382	3	17	shortly	shortly	ADV
bracis-28382	3	18	cnns	cnns	ADJ
bracis-28382	3	19	,	,	PUNCT
bracis-28382	3	20	to	to	PART
bracis-28382	3	21	analyze	analyze	VERB
bracis-28382	3	22	endoscopic	endoscopic	ADJ
bracis-28382	3	23	images	image	NOUN
bracis-28382	3	24	and	and	CCONJ
bracis-28382	3	25	videos	video	NOUN
bracis-28382	3	26	.	.	PUNCT
bracis-28382	4	1	our	our	PRON
bracis-28382	4	2	study	study	NOUN
bracis-28382	4	3	focused	focus	VERB
bracis-28382	4	4	on	on	ADP
bracis-28382	4	5	improving	improve	VERB
bracis-28382	4	6	the	the	DET
bracis-28382	4	7	classification	classification	NOUN
bracis-28382	4	8	of	of	ADP
bracis-28382	4	9	gastrointestinal	gastrointestinal	ADJ
bracis-28382	4	10	tract	tract	NOUN
bracis-28382	4	11	diseases	disease	NOUN
bracis-28382	4	12	by	by	ADP
bracis-28382	4	13	proposing	propose	VERB
bracis-28382	4	14	various	various	ADJ
bracis-28382	4	15	cnn	cnn	PROPN
bracis-28382	4	16	ensembles	ensemble	NOUN
bracis-28382	4	17	and	and	CCONJ
bracis-28382	4	18	fusion	fusion	NOUN
bracis-28382	4	19	techniques	technique	NOUN
bracis-28382	4	20	.	.	PUNCT
bracis-28382	5	1	through	through	ADP
bracis-28382	5	2	the	the	DET
bracis-28382	5	3	use	use	NOUN
bracis-28382	5	4	of	of	ADP
bracis-28382	5	5	seven	seven	NUM
bracis-28382	5	6	cnn	cnn	PROPN
bracis-28382	5	7	models	model	NOUN
bracis-28382	5	8	and	and	CCONJ
bracis-28382	5	9	effective	effective	ADJ
bracis-28382	5	10	merging	merging	NOUN
bracis-28382	5	11	techniques	technique	NOUN
bracis-28382	5	12	,	,	PUNCT
bracis-28382	5	13	we	we	PRON
bracis-28382	5	14	achieved	achieve	VERB
bracis-28382	5	15	enhanced	enhanced	ADJ
bracis-28382	5	16	performance	performance	NOUN
bracis-28382	5	17	.	.	PUNCT
bracis-28382	6	1	validation	validation	NOUN
bracis-28382	6	2	involved	involve	VERB
bracis-28382	6	3	literature	literature	PROPN
bracis-28382	6	4	review	review	NOUN
bracis-28382	6	5	and	and	CCONJ
bracis-28382	6	6	experiments	experiment	NOUN
bracis-28382	6	7	.	.	PUNCT
bracis-28382	7	1	densenet-161	densenet-161	ADJ
bracis-28382	7	2	influenced	influence	VERB
bracis-28382	7	3	the	the	DET
bracis-28382	7	4	merger	merger	NOUN
bracis-28382	7	5	process	process	NOUN
bracis-28382	7	6	,	,	PUNCT
bracis-28382	7	7	and	and	CCONJ
bracis-28382	7	8	integrating	integrate	VERB
bracis-28382	7	9	resnet152	resnet152	PROPN
bracis-28382	7	10	and	and	CCONJ
bracis-28382	7	11	vgg	vgg	ADJ
bracis-28382	7	12	further	far	ADV
bracis-28382	7	13	enhanced	enhance	VERB
bracis-28382	7	14	effectiveness	effectiveness	NOUN
bracis-28382	7	15	.	.	PUNCT
bracis-28382	8	1	resource	resource	NOUN
bracis-28382	8	2	analysis	analysis	NOUN
bracis-28382	8	3	included	include	VERB
bracis-28382	8	4	gpu	gpu	NOUN
bracis-28382	8	5	model	model	NOUN
bracis-28382	8	6	,	,	PUNCT
bracis-28382	8	7	ram	ram	NOUN
bracis-28382	8	8	usage	usage	NOUN
bracis-28382	8	9	,	,	PUNCT
bracis-28382	8	10	and	and	CCONJ
bracis-28382	8	11	execution	execution	NOUN
bracis-28382	8	12	time	time	NOUN
bracis-28382	8	13	.	.	PUNCT
bracis-28382	9	1	results	result	NOUN
bracis-28382	9	2	demonstrated	demonstrate	VERB
bracis-28382	9	3	comparable	comparable	ADJ
bracis-28382	9	4	performance	performance	NOUN
bracis-28382	9	5	to	to	ADP
bracis-28382	9	6	the	the	DET
bracis-28382	9	7	previous	previous	ADJ
bracis-28382	9	8	model	model	NOUN
bracis-28382	9	9	,	,	PUNCT
bracis-28382	9	10	with	with	ADP
bracis-28382	9	11	f1	f1	NOUN
bracis-28382	9	12	-	-	PUNCT
bracis-28382	9	13	score	score	NOUN
bracis-28382	9	14	of	of	ADP
bracis-28382	9	15	0.910	0.910	NUM
bracis-28382	9	16	and	and	CCONJ
bracis-28382	9	17	matthews	matthews	PROPN
bracis-28382	9	18	correlation	correlation	NOUN
bracis-28382	9	19	coefficient	coefficient	NOUN
bracis-28382	9	20	,	,	PUNCT
bracis-28382	9	21	mcc	mcc	NOUN
bracis-28382	9	22	for	for	ADP
bracis-28382	9	23	short	short	ADJ
bracis-28382	9	24	,	,	PUNCT
bracis-28382	9	25	of	of	ADP
bracis-28382	9	26	0.902	0.902	NUM
bracis-28382	9	27	,	,	PUNCT
bracis-28382	9	28	using	use	VERB
bracis-28382	9	29	10	10	NUM
bracis-28382	9	30	 	 	SPACE
bracis-28382	9	31	gb	gb	NOUN
bracis-28382	9	32	gpu	gpu	PROPN
bracis-28382	9	33	ram	ram	NOUN
bracis-28382	9	34	(	(	PUNCT
bracis-28382	9	35	compared	compare	VERB
bracis-28382	9	36	to	to	ADP
bracis-28382	9	37	15.8	15.8	NUM
bracis-28382	9	38	 	 	SPACE
bracis-28382	9	39	gb	gb	NOUN
bracis-28382	9	40	)	)	PUNCT
bracis-28382	9	41	.	.	PUNCT
bracis-28382	10	1	with	with	ADP
bracis-28382	10	2	24.7	24.7	NUM
bracis-28382	10	3	 	 	SPACE
bracis-28382	10	4	gb	gb	NOUN
bracis-28382	10	5	gpu	gpu	PROPN
bracis-28382	10	6	ram	ram	NOUN
bracis-28382	10	7	,	,	PUNCT
bracis-28382	10	8	f1	f1	NOUN
bracis-28382	10	9	-	-	PUNCT
bracis-28382	10	10	score	score	NOUN
bracis-28382	10	11	of	of	ADP
bracis-28382	10	12	0.913	0.913	NUM
bracis-28382	10	13	and	and	CCONJ
bracis-28382	10	14	mcc	mcc	NOUN
bracis-28382	10	15	of	of	ADP
bracis-28382	10	16	0.905	0.905	NUM
bracis-28382	10	17	were	be	AUX
bracis-28382	10	18	achieved	achieve	VERB
bracis-28382	10	19	.	.	PUNCT
bracis-28382	11	1	these	these	DET
bracis-28382	11	2	findings	finding	NOUN
bracis-28382	11	3	advance	advance	VERB
bracis-28382	11	4	our	our	PRON
bracis-28382	11	5	understanding	understanding	NOUN
bracis-28382	11	6	of	of	ADP
bracis-28382	11	7	ensemble	ensemble	ADJ
bracis-28382	11	8	architectures	architecture	NOUN
bracis-28382	11	9	and	and	CCONJ
bracis-28382	11	10	fusion	fusion	NOUN
bracis-28382	11	11	techniques	technique	NOUN
bracis-28382	11	12	.	.	PUNCT
bracis-28382	12	1	access	access	NOUN
bracis-28382	12	2	provided	provide	VERB
bracis-28382	12	3	by	by	ADP
bracis-28382	12	4	university	university	PROPN
bracis-28382	12	5	of	of	ADP
bracis-28382	12	6	notre	notre	PROPN
bracis-28382	12	7	dame	dame	PROPN
bracis-28382	12	8	hesburgh	hesburgh	PROPN
bracis-28382	12	9	library	library	PROPN
bracis-28382	12	10	.	.	PUNCT
bracis-28382	13	1	download	download	PROPN
bracis-28382	13	2	conference	conference	NOUN
bracis-28382	13	3	paper	paper	NOUN
bracis-28382	13	4	pdf	pdf	NOUN
bracis-28382	13	5	similar	similar	ADJ
bracis-28382	13	6	content	content	NOUN
bracis-28382	13	7	being	be	AUX
bracis-28382	13	8	viewed	view	VERB
bracis-28382	13	9	by	by	ADP
bracis-28382	13	10	others	other	NOUN
bracis-28382	13	11	evaluating	evaluate	VERB
bracis-28382	13	12	efficientnet	efficientnet	ADJ
bracis-28382	13	13	architectures	architecture	NOUN
bracis-28382	13	14	for	for	ADP
bracis-28382	13	15	pathology	pathology	NOUN
bracis-28382	13	16	detection	detection	NOUN
bracis-28382	13	17	in	in	ADP
bracis-28382	13	18	endoscopic	endoscopic	ADJ
bracis-28382	13	19	gastrointestinal	gastrointestinal	ADJ
bracis-28382	13	20	tract	tract	NOUN
bracis-28382	13	21	images	image	NOUN
bracis-28382	13	22	article	article	NOUN
bracis-28382	13	23	02	02	NUM
bracis-28382	13	24	may	may	AUX
bracis-28382	13	25	2025	2025	NUM
bracis-28382	13	26	empirical	empirical	ADJ
bracis-28382	13	27	study	study	NOUN
bracis-28382	13	28	of	of	ADP
bracis-28382	13	29	 	 	SPACE
bracis-28382	13	30	attention	attention	NOUN
bracis-28382	13	31	-	-	PUNCT
bracis-28382	13	32	based	base	VERB
bracis-28382	13	33	models	model	NOUN
bracis-28382	13	34	for	for	ADP
bracis-28382	13	35	 	 	SPACE
bracis-28382	13	36	automatic	automatic	ADJ
bracis-28382	13	37	classification	classification	NOUN
bracis-28382	13	38	of	of	ADP
bracis-28382	13	39	 	 	SPACE
bracis-28382	13	40	gastrointestinal	gastrointestinal	ADJ
bracis-28382	13	41	endoscopy	endoscopy	NOUN
bracis-28382	13	42	images	image	NOUN
bracis-28382	13	43	chapter	chapter	NOUN
bracis-28382	13	44	©	©	PROPN
bracis-28382	13	45	2023	2023	NUM
bracis-28382	13	46	exploring	explore	VERB
bracis-28382	13	47	the	the	DET
bracis-28382	13	48	effectiveness	effectiveness	NOUN
bracis-28382	13	49	of	of	ADP
bracis-28382	13	50	deep	deep	ADJ
bracis-28382	13	51	learning	learning	NOUN
bracis-28382	13	52	architectures	architecture	NOUN
bracis-28382	13	53	for	for	ADP
bracis-28382	13	54	colorectal	colorectal	ADJ
bracis-28382	13	55	polyp	polyp	NOUN
bracis-28382	13	56	detection	detection	NOUN
bracis-28382	13	57	:	:	PUNCT
bracis-28382	13	58	performance	performance	NOUN
bracis-28382	13	59	analysis	analysis	NOUN
bracis-28382	13	60	and	and	CCONJ
bracis-28382	13	61	insights	insight	NOUN
bracis-28382	13	62	article	article	NOUN
bracis-28382	13	63	18	18	NUM
bracis-28382	13	64	april	april	PROPN
bracis-28382	13	65	2024	2024	NUM
bracis-28382	13	66	explore	explore	VERB
bracis-28382	13	67	related	relate	VERB
bracis-28382	13	68	subjects	subject	NOUN
bracis-28382	13	69	discover	discover	VERB
bracis-28382	13	70	the	the	DET
bracis-28382	13	71	latest	late	ADJ
bracis-28382	13	72	articles	article	NOUN
bracis-28382	13	73	,	,	PUNCT
bracis-28382	13	74	books	book	NOUN
bracis-28382	13	75	and	and	CCONJ
bracis-28382	13	76	news	news	NOUN
bracis-28382	13	77	in	in	ADP
bracis-28382	13	78	related	related	ADJ
bracis-28382	13	79	subjects	subject	NOUN
bracis-28382	13	80	,	,	PUNCT
bracis-28382	13	81	suggested	suggest	VERB
bracis-28382	13	82	using	use	VERB
bracis-28382	13	83	machine	machine	NOUN
bracis-28382	13	84	learning	learning	NOUN
bracis-28382	13	85	.	.	PUNCT
bracis-28382	14	1	computational	computational	ADJ
bracis-28382	14	2	intelligence	intelligence	NOUN
bracis-28382	14	3	computer	computer	NOUN
bracis-28382	14	4	vision	vision	NOUN
bracis-28382	14	5	gastroenterology	gastroenterology	NOUN
bracis-28382	14	6	gastrointestinal	gastrointestinal	ADJ
bracis-28382	14	7	system	system	NOUN
bracis-28382	14	8	machine	machine	NOUN
bracis-28382	14	9	learning	learn	VERB
bracis-28382	14	10	artificial	artificial	ADJ
bracis-28382	14	11	intelligence	intelligence	NOUN
bracis-28382	14	12	1	1	NUM
bracis-28382	14	13	introduction	introduction	NOUN
bracis-28382	14	14	the	the	DET
bracis-28382	14	15	human	human	ADJ
bracis-28382	14	16	gastrointestinal	gastrointestinal	NOUN
bracis-28382	14	17	(	(	PUNCT
bracis-28382	14	18	gi	gi	NOUN
bracis-28382	14	19	)	)	PUNCT
bracis-28382	14	20	tract	tract	NOUN
bracis-28382	14	21	is	be	AUX
bracis-28382	14	22	susceptible	susceptible	ADJ
bracis-28382	14	23	to	to	ADP
bracis-28382	14	24	several	several	ADJ
bracis-28382	14	25	abnormal	abnormal	ADJ
bracis-28382	14	26	mucosal	mucosal	NOUN
bracis-28382	14	27	findings	finding	NOUN
bracis-28382	14	28	,	,	PUNCT
bracis-28382	14	29	including	include	VERB
bracis-28382	14	30	life	life	NOUN
bracis-28382	14	31	-	-	PUNCT
bracis-28382	14	32	threatening	threaten	VERB
bracis-28382	14	33	diseases	disease	NOUN
bracis-28382	14	34	[	[	X
bracis-28382	14	35	2	2	NUM
bracis-28382	14	36	]	]	PUNCT
bracis-28382	14	37	.	.	PUNCT
bracis-28382	15	1	gi	gi	NOUN
bracis-28382	15	2	cancer	cancer	NOUN
bracis-28382	15	3	alone	alone	ADV
bracis-28382	15	4	accounts	account	VERB
bracis-28382	15	5	for	for	ADP
bracis-28382	15	6	millions	million	NOUN
bracis-28382	15	7	of	of	ADP
bracis-28382	15	8	new	new	ADJ
bracis-28382	15	9	cases	case	NOUN
bracis-28382	15	10	annually	annually	ADV
bracis-28382	15	11	,	,	PUNCT
bracis-28382	15	12	emphasizing	emphasize	VERB
bracis-28382	15	13	the	the	DET
bracis-28382	15	14	need	need	NOUN
bracis-28382	15	15	for	for	ADP
bracis-28382	15	16	improved	improve	VERB
bracis-28382	15	17	endoscopic	endoscopic	ADJ
bracis-28382	15	18	performance	performance	NOUN
bracis-28382	15	19	and	and	CCONJ
bracis-28382	15	20	systematic	systematic	ADJ
bracis-28382	15	21	screening	screening	NOUN
bracis-28382	15	22	[	[	X
bracis-28382	15	23	10	10	NUM
bracis-28382	15	24	]	]	PUNCT
bracis-28382	15	25	.	.	PUNCT
bracis-28382	16	1	gastrointestinal	gastrointestinal	ADJ
bracis-28382	16	2	exams	exam	NOUN
bracis-28382	16	3	and	and	CCONJ
bracis-28382	16	4	colonoscopy	colonoscopy	NOUN
bracis-28382	16	5	are	be	AUX
bracis-28382	16	6	essential	essential	ADJ
bracis-28382	16	7	procedures	procedure	NOUN
bracis-28382	16	8	to	to	PART
bracis-28382	16	9	investigate	investigate	VERB
bracis-28382	16	10	the	the	DET
bracis-28382	16	11	human	human	ADJ
bracis-28382	16	12	gi	gi	NOUN
bracis-28382	16	13	tract	tract	NOUN
bracis-28382	16	14	[	[	X
bracis-28382	16	15	9	9	NUM
bracis-28382	16	16	]	]	PUNCT
bracis-28382	16	17	.	.	PUNCT
bracis-28382	17	1	these	these	DET
bracis-28382	17	2	tests	test	NOUN
bracis-28382	17	3	play	play	VERB
bracis-28382	17	4	a	a	DET
bracis-28382	17	5	vital	vital	ADJ
bracis-28382	17	6	role	role	NOUN
bracis-28382	17	7	in	in	ADP
bracis-28382	17	8	the	the	DET
bracis-28382	17	9	diagnosis	diagnosis	NOUN
bracis-28382	17	10	and	and	CCONJ
bracis-28382	17	11	management	management	NOUN
bracis-28382	17	12	of	of	ADP
bracis-28382	17	13	gastrointestinal	gastrointestinal	ADJ
bracis-28382	17	14	conditions	condition	NOUN
bracis-28382	17	15	,	,	PUNCT
bracis-28382	17	16	contributing	contribute	VERB
bracis-28382	17	17	to	to	ADP
bracis-28382	17	18	the	the	DET
bracis-28382	17	19	early	early	ADJ
bracis-28382	17	20	detection	detection	NOUN
bracis-28382	17	21	,	,	PUNCT
bracis-28382	17	22	treatment	treatment	NOUN
bracis-28382	17	23	and	and	CCONJ
bracis-28382	17	24	prevention	prevention	NOUN
bracis-28382	17	25	of	of	ADP
bracis-28382	17	26	serious	serious	ADJ
bracis-28382	17	27	complications	complication	NOUN
bracis-28382	17	28	[	[	X
bracis-28382	17	29	2	2	NUM
bracis-28382	17	30	,	,	PUNCT
bracis-28382	17	31	5	5	NUM
bracis-28382	17	32	,	,	PUNCT
bracis-28382	17	33	7	7	NUM
bracis-28382	17	34	]	]	PUNCT
bracis-28382	17	35	.	.	PUNCT
bracis-28382	18	1	however	however	ADV
bracis-28382	18	2	,	,	PUNCT
bracis-28382	18	3	current	current	ADJ
bracis-28382	18	4	endoscopic	endoscopic	ADJ
bracis-28382	18	5	scoring	scoring	NOUN
bracis-28382	18	6	systems	system	NOUN
bracis-28382	18	7	lack	lack	VERB
bracis-28382	18	8	standardization	standardization	NOUN
bracis-28382	18	9	and	and	CCONJ
bracis-28382	18	10	are	be	AUX
bracis-28382	18	11	subjective	subjective	ADJ
bracis-28382	18	12	[	[	X
bracis-28382	18	13	2	2	NUM
bracis-28382	18	14	,	,	PUNCT
bracis-28382	18	15	7	7	NUM
bracis-28382	18	16	]	]	PUNCT
bracis-28382	18	17	.	.	PUNCT
bracis-28382	19	1	in	in	ADP
bracis-28382	19	2	this	this	DET
bracis-28382	19	3	context	context	NOUN
bracis-28382	19	4	,	,	PUNCT
bracis-28382	19	5	artificial	artificial	ADJ
bracis-28382	19	6	intelligence	intelligence	NOUN
bracis-28382	19	7	(	(	PUNCT
bracis-28382	19	8	ai)-enabled	ai)-enable	VERB
bracis-28382	19	9	computer	computer	NOUN
bracis-28382	19	10	-	-	PUNCT
bracis-28382	19	11	assisted	assist	VERB
bracis-28382	19	12	diagnostic	diagnostic	ADJ
bracis-28382	19	13	systems	system	NOUN
bracis-28382	19	14	,	,	PUNCT
bracis-28382	19	15	particularly	particularly	ADV
bracis-28382	19	16	machine	machine	NOUN
bracis-28382	19	17	learning	learning	NOUN
bracis-28382	19	18	,	,	PUNCT
bracis-28382	19	19	have	have	AUX
bracis-28382	19	20	shown	show	VERB
bracis-28382	19	21	promise	promise	NOUN
bracis-28382	19	22	in	in	ADP
bracis-28382	19	23	healthcare	healthcare	NOUN
bracis-28382	19	24	,	,	PUNCT
bracis-28382	19	25	but	but	CCONJ
bracis-28382	19	26	the	the	DET
bracis-28382	19	27	scarcity	scarcity	NOUN
bracis-28382	19	28	of	of	ADP
bracis-28382	19	29	medical	medical	ADJ
bracis-28382	19	30	data	datum	NOUN
bracis-28382	19	31	impedes	impede	VERB
bracis-28382	19	32	progress	progress	NOUN
bracis-28382	19	33	[	[	X
bracis-28382	19	34	2	2	NUM
bracis-28382	19	35	,	,	PUNCT
bracis-28382	19	36	8	8	NUM
bracis-28382	19	37	]	]	PUNCT
bracis-28382	19	38	.	.	PUNCT
bracis-28382	20	1	to	to	PART
bracis-28382	20	2	solve	solve	VERB
bracis-28382	20	3	this	this	PRON
bracis-28382	20	4	,	,	PUNCT
bracis-28382	20	5	we	we	PRON
bracis-28382	20	6	used	use	VERB
bracis-28382	20	7	a	a	DET
bracis-28382	20	8	database	database	NOUN
bracis-28382	20	9	(	(	PUNCT
bracis-28382	20	10	db	db	PROPN
bracis-28382	20	11	)	)	PUNCT
bracis-28382	20	12	,	,	PUNCT
bracis-28382	20	13	called	call	VERB
bracis-28382	20	14	hyperkvasir	hyperkvasir	NOUN
bracis-28382	20	15	,	,	PUNCT
bracis-28382	20	16	a	a	DET
bracis-28382	20	17	large	large	ADJ
bracis-28382	20	18	dataset	dataset	NOUN
bracis-28382	20	19	of	of	ADP
bracis-28382	20	20	gastrointestinal	gastrointestinal	ADJ
bracis-28382	20	21	images	image	NOUN
bracis-28382	20	22	and	and	CCONJ
bracis-28382	20	23	videos	video	NOUN
bracis-28382	20	24	collected	collect	VERB
bracis-28382	20	25	during	during	ADP
bracis-28382	20	26	real	real	ADJ
bracis-28382	20	27	exams	exam	NOUN
bracis-28382	20	28	[	[	X
bracis-28382	20	29	2	2	NUM
bracis-28382	20	30	]	]	PUNCT
bracis-28382	20	31	.	.	PUNCT
bracis-28382	21	1	the	the	DET
bracis-28382	21	2	dataset	dataset	NOUN
bracis-28382	21	3	contains	contain	VERB
bracis-28382	21	4	over	over	ADP
bracis-28382	21	5	\(1.1	\(1.1	NOUN
bracis-28382	21	6	\times	\time	VERB
bracis-28382	21	7	10	10	NUM
bracis-28382	21	8	^	^	SYM
bracis-28382	21	9	5\	5\	NUM
bracis-28382	21	10	)	)	PUNCT
bracis-28382	21	11	images	image	NOUN
bracis-28382	21	12	and	and	CCONJ
bracis-28382	21	13	374	374	NUM
bracis-28382	21	14	videos	video	NOUN
bracis-28382	21	15	and	and	CCONJ
bracis-28382	21	16	represents	represent	VERB
bracis-28382	21	17	anatomical	anatomical	ADJ
bracis-28382	21	18	landmarks	landmark	NOUN
bracis-28382	21	19	as	as	ADV
bracis-28382	21	20	well	well	ADV
bracis-28382	21	21	as	as	ADP
bracis-28382	21	22	pathological	pathological	ADJ
bracis-28382	21	23	and	and	CCONJ
bracis-28382	21	24	normal	normal	ADJ
bracis-28382	21	25	findings	finding	NOUN
bracis-28382	21	26	[	[	X
bracis-28382	21	27	2	2	NUM
bracis-28382	21	28	]	]	PUNCT
bracis-28382	21	29	.	.	PUNCT
bracis-28382	22	1	over	over	ADP
bracis-28382	22	2	the	the	DET
bracis-28382	22	3	years	year	NOUN
bracis-28382	22	4	,	,	PUNCT
bracis-28382	22	5	machine	machine	NOUN
bracis-28382	22	6	learning	learning	NOUN
bracis-28382	22	7	has	have	AUX
bracis-28382	22	8	evolved	evolve	VERB
bracis-28382	22	9	into	into	ADP
bracis-28382	22	10	deep	deep	ADJ
bracis-28382	22	11	learning	learning	NOUN
bracis-28382	22	12	algorithms	algorithm	NOUN
bracis-28382	22	13	,	,	PUNCT
bracis-28382	22	14	relying	rely	VERB
bracis-28382	22	15	primarily	primarily	ADV
bracis-28382	22	16	on	on	ADP
bracis-28382	22	17	the	the	DET
bracis-28382	22	18	deep	deep	ADJ
bracis-28382	22	19	neural	neural	ADJ
bracis-28382	22	20	network	network	NOUN
bracis-28382	22	21	(	(	PUNCT
bracis-28382	22	22	dnn	dnn	PROPN
bracis-28382	22	23	)	)	PUNCT
bracis-28382	22	24	.	.	PUNCT
bracis-28382	23	1	convolutional	convolutional	ADJ
bracis-28382	23	2	neural	neural	ADJ
bracis-28382	23	3	networks	network	NOUN
bracis-28382	23	4	(	(	PUNCT
bracis-28382	23	5	cnn	cnn	PROPN
bracis-28382	23	6	)	)	PUNCT
bracis-28382	23	7	,	,	PUNCT
bracis-28382	23	8	a	a	DET
bracis-28382	23	9	type	type	NOUN
bracis-28382	23	10	of	of	ADP
bracis-28382	23	11	dnn	dnn	PROPN
bracis-28382	23	12	,	,	PUNCT
bracis-28382	23	13	have	have	AUX
bracis-28382	23	14	emerged	emerge	VERB
bracis-28382	23	15	as	as	ADP
bracis-28382	23	16	a	a	DET
bracis-28382	23	17	powerful	powerful	ADJ
bracis-28382	23	18	tool	tool	NOUN
bracis-28382	23	19	for	for	ADP
bracis-28382	23	20	image	image	NOUN
bracis-28382	23	21	analysis	analysis	NOUN
bracis-28382	23	22	and	and	CCONJ
bracis-28382	23	23	classification	classification	NOUN
bracis-28382	23	24	,	,	PUNCT
bracis-28382	23	25	including	include	VERB
bracis-28382	23	26	medical	medical	ADJ
bracis-28382	23	27	imaging	imaging	NOUN
bracis-28382	23	28	tasks	task	NOUN
bracis-28382	23	29	.	.	PUNCT
bracis-28382	24	1	cnn	cnn	PROPN
bracis-28382	24	2	ensemble	ensemble	PROPN
bracis-28382	24	3	architectures	architecture	NOUN
bracis-28382	24	4	have	have	AUX
bracis-28382	24	5	been	be	AUX
bracis-28382	24	6	widely	widely	ADV
bracis-28382	24	7	employed	employ	VERB
bracis-28382	24	8	to	to	PART
bracis-28382	24	9	improve	improve	VERB
bracis-28382	24	10	forecast	forecast	NOUN
bracis-28382	24	11	accuracy	accuracy	NOUN
bracis-28382	24	12	by	by	ADP
bracis-28382	24	13	combining	combine	VERB
bracis-28382	24	14	the	the	DET
bracis-28382	24	15	outputs	output	NOUN
bracis-28382	24	16	of	of	ADP
bracis-28382	24	17	various	various	ADJ
bracis-28382	24	18	models	model	NOUN
bracis-28382	24	19	.	.	PUNCT
bracis-28382	25	1	these	these	DET
bracis-28382	25	2	sets	set	VERB
bracis-28382	25	3	leverage	leverage	VERB
bracis-28382	25	4	the	the	DET
bracis-28382	25	5	diversity	diversity	NOUN
bracis-28382	25	6	of	of	ADP
bracis-28382	25	7	individual	individual	ADJ
bracis-28382	25	8	cnn	cnn	PROPN
bracis-28382	25	9	models	model	NOUN
bracis-28382	25	10	to	to	PART
bracis-28382	25	11	improve	improve	VERB
bracis-28382	25	12	overall	overall	ADJ
bracis-28382	25	13	performance	performance	NOUN
bracis-28382	25	14	.	.	PUNCT
bracis-28382	26	1	in	in	ADP
bracis-28382	26	2	addition	addition	NOUN
bracis-28382	26	3	,	,	PUNCT
bracis-28382	26	4	fusion	fusion	NOUN
bracis-28382	26	5	techniques	technique	NOUN
bracis-28382	26	6	are	be	AUX
bracis-28382	26	7	employed	employ	VERB
bracis-28382	26	8	to	to	PART
bracis-28382	26	9	effectively	effectively	ADV
bracis-28382	26	10	integrate	integrate	VERB
bracis-28382	26	11	predictions	prediction	NOUN
bracis-28382	26	12	from	from	ADP
bracis-28382	26	13	multiple	multiple	ADJ
bracis-28382	26	14	cnn	cnn	PROPN
bracis-28382	26	15	models	model	NOUN
bracis-28382	26	16	 	 	SPACE
bracis-28382	27	1	[	[	X
bracis-28382	27	2	11	11	NUM
bracis-28382	27	3	,	,	PUNCT
bracis-28382	27	4	16	16	NUM
bracis-28382	27	5	]	]	PUNCT
bracis-28382	27	6	.	.	PUNCT
bracis-28382	28	1	in	in	ADP
bracis-28382	28	2	this	this	DET
bracis-28382	28	3	work	work	NOUN
bracis-28382	28	4	,	,	PUNCT
bracis-28382	28	5	our	our	PRON
bracis-28382	28	6	main	main	ADJ
bracis-28382	28	7	objective	objective	NOUN
bracis-28382	28	8	is	be	AUX
bracis-28382	28	9	to	to	PART
bracis-28382	28	10	propose	propose	VERB
bracis-28382	28	11	a	a	DET
bracis-28382	28	12	new	new	ADJ
bracis-28382	28	13	ensemble	ensemble	ADJ
bracis-28382	28	14	architecture	architecture	NOUN
bracis-28382	28	15	and	and	CCONJ
bracis-28382	28	16	efficient	efficient	ADJ
bracis-28382	28	17	fusion	fusion	NOUN
bracis-28382	28	18	techniques	technique	NOUN
bracis-28382	28	19	for	for	ADP
bracis-28382	28	20	cnns	cnn	NOUN
bracis-28382	28	21	in	in	ADP
bracis-28382	28	22	the	the	DET
bracis-28382	28	23	classification	classification	NOUN
bracis-28382	28	24	of	of	ADP
bracis-28382	28	25	gastrointestinal	gastrointestinal	ADJ
bracis-28382	28	26	tract	tract	NOUN
bracis-28382	28	27	diseases	disease	NOUN
bracis-28382	28	28	using	use	VERB
bracis-28382	28	29	the	the	DET
bracis-28382	28	30	hyperkvasir	hyperkvasir	PROPN
bracis-28382	28	31	dataset	dataset	NOUN
bracis-28382	28	32	,	,	PUNCT
bracis-28382	28	33	aiming	aim	VERB
bracis-28382	28	34	to	to	PART
bracis-28382	28	35	obtain	obtain	VERB
bracis-28382	28	36	better	well	ADJ
bracis-28382	28	37	results	result	NOUN
bracis-28382	28	38	than	than	ADP
bracis-28382	28	39	in	in	ADP
bracis-28382	28	40	the	the	DET
bracis-28382	28	41	literature	literature	NOUN
bracis-28382	28	42	and	and	CCONJ
bracis-28382	28	43	to	to	PART
bracis-28382	28	44	optimize	optimize	VERB
bracis-28382	28	45	computational	computational	ADJ
bracis-28382	28	46	resources	resource	NOUN
bracis-28382	28	47	.	.	PUNCT
bracis-28382	29	1	to	to	PART
bracis-28382	29	2	achieve	achieve	VERB
bracis-28382	29	3	this	this	PRON
bracis-28382	29	4	,	,	PUNCT
bracis-28382	29	5	we	we	PRON
bracis-28382	29	6	performed	perform	VERB
bracis-28382	29	7	a	a	DET
bracis-28382	29	8	thorough	thorough	ADJ
bracis-28382	29	9	literature	literature	NOUN
bracis-28382	29	10	review	review	NOUN
bracis-28382	29	11	to	to	PART
bracis-28382	29	12	identify	identify	VERB
bracis-28382	29	13	relevant	relevant	ADJ
bracis-28382	29	14	studies	study	NOUN
bracis-28382	29	15	on	on	ADP
bracis-28382	29	16	the	the	DET
bracis-28382	29	17	use	use	NOUN
bracis-28382	29	18	of	of	ADP
bracis-28382	29	19	deep	deep	ADJ
bracis-28382	29	20	learning	learning	NOUN
bracis-28382	29	21	methods	method	NOUN
bracis-28382	29	22	in	in	ADP
bracis-28382	29	23	similar	similar	ADJ
bracis-28382	29	24	health	health	NOUN
bracis-28382	29	25	domains	domain	NOUN
bracis-28382	29	26	.	.	PUNCT
bracis-28382	30	1	in	in	ADP
bracis-28382	30	2	addition	addition	NOUN
bracis-28382	30	3	,	,	PUNCT
bracis-28382	30	4	we	we	PRON
bracis-28382	30	5	performed	perform	VERB
bracis-28382	30	6	several	several	ADJ
bracis-28382	30	7	experiments	experiment	NOUN
bracis-28382	30	8	to	to	PART
bracis-28382	30	9	evaluate	evaluate	VERB
bracis-28382	30	10	the	the	DET
bracis-28382	30	11	effectiveness	effectiveness	NOUN
bracis-28382	30	12	of	of	ADP
bracis-28382	30	13	our	our	PRON
bracis-28382	30	14	proposed	propose	VERB
bracis-28382	30	15	approach	approach	NOUN
bracis-28382	30	16	.	.	PUNCT
bracis-28382	31	1	2	2	NUM
bracis-28382	31	2	theoretical	theoretical	ADJ
bracis-28382	31	3	foundation	foundation	NOUN
bracis-28382	31	4	since	since	SCONJ
bracis-28382	31	5	the	the	DET
bracis-28382	31	6	emergence	emergence	NOUN
bracis-28382	31	7	of	of	ADP
bracis-28382	31	8	computers	computer	NOUN
bracis-28382	31	9	,	,	PUNCT
bracis-28382	31	10	there	there	PRON
bracis-28382	31	11	have	have	AUX
bracis-28382	31	12	been	be	AUX
bracis-28382	31	13	research	research	NOUN
bracis-28382	31	14	efforts	effort	NOUN
bracis-28382	31	15	to	to	PART
bracis-28382	31	16	make	make	VERB
bracis-28382	31	17	them	they	PRON
bracis-28382	31	18	reproduce	reproduce	VERB
bracis-28382	31	19	biological	biological	ADJ
bracis-28382	31	20	characteristics	characteristic	NOUN
bracis-28382	31	21	;	;	PUNCT
bracis-28382	31	22	these	these	PRON
bracis-28382	31	23	are	be	AUX
bracis-28382	31	24	known	know	VERB
bracis-28382	31	25	as	as	ADP
bracis-28382	31	26	bioinspired	bioinspire	VERB
bracis-28382	31	27	research	research	NOUN
bracis-28382	31	28	.	.	PUNCT
bracis-28382	32	1	among	among	ADP
bracis-28382	32	2	the	the	DET
bracis-28382	32	3	bioinspired	bioinspired	ADJ
bracis-28382	32	4	research	research	NOUN
bracis-28382	32	5	,	,	PUNCT
bracis-28382	32	6	there	there	PRON
bracis-28382	32	7	is	be	VERB
bracis-28382	32	8	one	one	NUM
bracis-28382	32	9	that	that	PRON
bracis-28382	32	10	seeks	seek	VERB
bracis-28382	32	11	to	to	PART
bracis-28382	32	12	simulate	simulate	VERB
bracis-28382	32	13	the	the	DET
bracis-28382	32	14	functioning	functioning	NOUN
bracis-28382	32	15	of	of	ADP
bracis-28382	32	16	the	the	DET
bracis-28382	32	17	brain	brain	NOUN
bracis-28382	32	18	through	through	ADP
bracis-28382	32	19	artificial	artificial	ADJ
bracis-28382	32	20	neural	neural	ADJ
bracis-28382	32	21	networks	network	NOUN
bracis-28382	32	22	.	.	PUNCT
bracis-28382	33	1	these	these	DET
bracis-28382	33	2	networks	network	NOUN
bracis-28382	33	3	have	have	AUX
bracis-28382	33	4	undergone	undergo	VERB
bracis-28382	33	5	many	many	ADJ
bracis-28382	33	6	transformations	transformation	NOUN
bracis-28382	33	7	,	,	PUNCT
bracis-28382	33	8	as	as	SCONJ
bracis-28382	33	9	reported	report	VERB
bracis-28382	33	10	in	in	ADP
bracis-28382	33	11	the	the	DET
bracis-28382	33	12	papers	paper	NOUN
bracis-28382	33	13	[	[	X
bracis-28382	33	14	4	4	NUM
bracis-28382	33	15	,	,	PUNCT
bracis-28382	33	16	11,12,13	11,12,13	NUM
bracis-28382	33	17	,	,	PUNCT
bracis-28382	33	18	16,17,18	16,17,18	NUM
bracis-28382	33	19	]	]	PUNCT
bracis-28382	33	20	.	.	PUNCT
bracis-28382	34	1	this	this	DET
bracis-28382	34	2	section	section	NOUN
bracis-28382	34	3	provides	provide	VERB
bracis-28382	34	4	an	an	DET
bracis-28382	34	5	overview	overview	NOUN
bracis-28382	34	6	of	of	ADP
bracis-28382	34	7	the	the	DET
bracis-28382	34	8	hyperkvasir	hyperkvasir	ADJ
bracis-28382	34	9	database	database	NOUN
bracis-28382	35	1	[	[	X
bracis-28382	35	2	2	2	NUM
bracis-28382	35	3	]	]	PUNCT
bracis-28382	35	4	,	,	PUNCT
bracis-28382	35	5	the	the	DET
bracis-28382	35	6	dataset	dataset	NOUN
bracis-28382	35	7	utilized	utilize	VERB
bracis-28382	35	8	in	in	ADP
bracis-28382	35	9	this	this	DET
bracis-28382	35	10	study	study	NOUN
bracis-28382	35	11	.	.	PUNCT
bracis-28382	36	1	we	we	PRON
bracis-28382	36	2	reviewed	review	VERB
bracis-28382	36	3	the	the	DET
bracis-28382	36	4	literature	literature	NOUN
bracis-28382	36	5	on	on	ADP
bracis-28382	36	6	deep	deep	ADJ
bracis-28382	36	7	learning	learning	NOUN
bracis-28382	36	8	in	in	ADP
bracis-28382	36	9	digital	digital	ADJ
bracis-28382	36	10	imaging	imaging	NOUN
bracis-28382	36	11	(	(	PUNCT
bracis-28382	36	12	di	di	NOUN
bracis-28382	36	13	)	)	PUNCT
bracis-28382	36	14	and	and	CCONJ
bracis-28382	36	15	consider	consider	VERB
bracis-28382	36	16	borgli	borgli	NOUN
bracis-28382	36	17	et	et	PROPN
bracis-28382	36	18	al	al	PROPN
bracis-28382	36	19	.	.	PROPN
bracis-28382	36	20	’s	’s	PART
bracis-28382	36	21	general	general	ADJ
bracis-28382	36	22	model	model	NOUN
bracis-28382	36	23	[	[	X
bracis-28382	36	24	2	2	NUM
bracis-28382	36	25	]	]	PUNCT
bracis-28382	36	26	as	as	ADP
bracis-28382	36	27	a	a	DET
bracis-28382	36	28	reference	reference	NOUN
bracis-28382	36	29	for	for	ADP
bracis-28382	36	30	our	our	PRON
bracis-28382	36	31	research	research	NOUN
bracis-28382	36	32	.	.	PUNCT
bracis-28382	37	1	our	our	PRON
bracis-28382	37	2	objective	objective	NOUN
bracis-28382	37	3	is	be	AUX
bracis-28382	37	4	to	to	PART
bracis-28382	37	5	establish	establish	VERB
bracis-28382	37	6	a	a	DET
bracis-28382	37	7	robust	robust	ADJ
bracis-28382	37	8	foundation	foundation	NOUN
bracis-28382	37	9	by	by	ADP
bracis-28382	37	10	analyzing	analyze	VERB
bracis-28382	37	11	the	the	DET
bracis-28382	37	12	dataset	dataset	NOUN
bracis-28382	37	13	and	and	CCONJ
bracis-28382	37	14	surveying	surveying	NOUN
bracis-28382	37	15	related	relate	VERB
bracis-28382	37	16	studies	study	NOUN
bracis-28382	37	17	.	.	PUNCT
bracis-28382	38	1	2.1	2.1	NUM
bracis-28382	38	2	hyperkvasir	hyperkvasir	PROPN
bracis-28382	38	3	dataset	dataset	VERB
bracis-28382	38	4	the	the	DET
bracis-28382	38	5	hyperkvasir	hyperkvasir	NOUN
bracis-28382	38	6	datasetfootnote	datasetfootnote	VERB
bracis-28382	38	7	1	1	NUM
bracis-28382	38	8	is	be	AUX
bracis-28382	38	9	composed	compose	VERB
bracis-28382	38	10	of	of	ADP
bracis-28382	38	11	images	image	NOUN
bracis-28382	38	12	and	and	CCONJ
bracis-28382	38	13	videos	video	NOUN
bracis-28382	38	14	.	.	PUNCT
bracis-28382	39	1	the	the	DET
bracis-28382	39	2	dataset	dataset	NOUN
bracis-28382	39	3	content	content	NOUN
bracis-28382	39	4	was	be	AUX
bracis-28382	39	5	collected	collect	VERB
bracis-28382	39	6	between	between	ADP
bracis-28382	39	7	2008	2008	NUM
bracis-28382	39	8	and	and	CCONJ
bracis-28382	39	9	2016	2016	NUM
bracis-28382	39	10	,	,	PUNCT
bracis-28382	39	11	in	in	ADP
bracis-28382	39	12	a	a	DET
bracis-28382	39	13	hospital	hospital	NOUN
bracis-28382	39	14	in	in	ADP
bracis-28382	39	15	norway	norway	PROPN
bracis-28382	39	16	.	.	PUNCT
bracis-28382	40	1	in	in	ADP
bracis-28382	40	2	this	this	DET
bracis-28382	40	3	work	work	NOUN
bracis-28382	40	4	,	,	PUNCT
bracis-28382	40	5	10639	10639	NUM
bracis-28382	40	6	labels	label	NOUN
bracis-28382	40	7	available	available	ADJ
bracis-28382	40	8	in	in	ADP
bracis-28382	40	9	the	the	DET
bracis-28382	40	10	dataset	dataset	NOUN
bracis-28382	40	11	are	be	AUX
bracis-28382	40	12	used	use	VERB
bracis-28382	40	13	.	.	PUNCT
bracis-28382	41	1	the	the	DET
bracis-28382	41	2	images	image	NOUN
bracis-28382	41	3	are	be	AUX
bracis-28382	41	4	separated	separate	VERB
bracis-28382	41	5	into	into	ADP
bracis-28382	41	6	23	23	NUM
bracis-28382	41	7	classes	class	NOUN
bracis-28382	41	8	,	,	PUNCT
bracis-28382	41	9	in	in	ADP
bracis-28382	41	10	fig	fig	NOUN
bracis-28382	41	11	.	.	PUNCT
bracis-28382	41	12	 	 	SPACE
bracis-28382	42	1	1	1	NUM
bracis-28382	42	2	it	it	PRON
bracis-28382	42	3	is	be	AUX
bracis-28382	42	4	possible	possible	ADJ
bracis-28382	42	5	to	to	PART
bracis-28382	42	6	see	see	VERB
bracis-28382	42	7	examples	example	NOUN
bracis-28382	42	8	of	of	ADP
bracis-28382	42	9	images	image	NOUN
bracis-28382	42	10	contained	contain	VERB
bracis-28382	42	11	in	in	ADP
bracis-28382	42	12	the	the	DET
bracis-28382	42	13	dataset	dataset	NOUN
bracis-28382	42	14	.	.	PUNCT
bracis-28382	43	1	class	class	NOUN
bracis-28382	43	2	labels	label	NOUN
bracis-28382	43	3	are	be	AUX
bracis-28382	43	4	z	z	NOUN
bracis-28382	43	5	-	-	PUNCT
bracis-28382	43	6	line	line	NOUN
bracis-28382	43	7	,	,	PUNCT
bracis-28382	43	8	pylorus	pylorus	NOUN
bracis-28382	43	9	,	,	PUNCT
bracis-28382	43	10	retroflex	retroflex	NOUN
bracis-28382	43	11	stomach	stomach	NOUN
bracis-28382	43	12	,	,	PUNCT
bracis-28382	43	13	barrett	barrett	PROPN
bracis-28382	43	14	’s	’s	PROPN
bracis-28382	43	15	,	,	PUNCT
bracis-28382	43	16	short	short	ADJ
bracis-28382	43	17	segment	segment	NOUN
bracis-28382	43	18	,	,	PUNCT
bracis-28382	43	19	esophagitis	esophagitis	NOUN
bracis-28382	43	20	grade	grade	NOUN
bracis-28382	43	21	a	a	NOUN
bracis-28382	43	22	,	,	PUNCT
bracis-28382	43	23	esophagitis	esophagitis	NOUN
bracis-28382	43	24	grade	grade	NOUN
bracis-28382	43	25	b	b	X
bracis-28382	43	26	-	-	PUNCT
bracis-28382	43	27	d	d	PROPN
bracis-28382	43	28	,	,	PUNCT
bracis-28382	43	29	cecum	cecum	NOUN
bracis-28382	43	30	,	,	PUNCT
bracis-28382	43	31	retroflex	retroflex	NOUN
bracis-28382	43	32	rectum	rectum	NOUN
bracis-28382	43	33	,	,	PUNCT
bracis-28382	43	34	terminal	terminal	ADJ
bracis-28382	43	35	ileum	ileum	NOUN
bracis-28382	43	36	,	,	PUNCT
bracis-28382	43	37	polyps	polyp	NOUN
bracis-28382	43	38	,	,	PUNCT
bracis-28382	43	39	ulcerative	ulcerative	ADJ
bracis-28382	43	40	colitis	colitis	NOUN
bracis-28382	43	41	grade	grade	NOUN
bracis-28382	43	42	0–1	0–1	NOUN
bracis-28382	43	43	,	,	PUNCT
bracis-28382	43	44	ulcerative	ulcerative	ADJ
bracis-28382	43	45	colitis	colitis	NOUN
bracis-28382	43	46	grade	grade	NOUN
bracis-28382	43	47	1	1	NUM
bracis-28382	43	48	,	,	PUNCT
bracis-28382	43	49	ulcerative	ulcerative	ADJ
bracis-28382	43	50	colitis	colitis	NOUN
bracis-28382	43	51	grade	grade	NOUN
bracis-28382	43	52	1–2	1–2	NUM
bracis-28382	43	53	,	,	PUNCT
bracis-28382	43	54	ulcerative	ulcerative	ADJ
bracis-28382	43	55	colitis	colitis	NOUN
bracis-28382	43	56	grade	grade	NOUN
bracis-28382	43	57	2	2	NUM
bracis-28382	43	58	,	,	PUNCT
bracis-28382	43	59	ulcerative	ulcerative	ADJ
bracis-28382	43	60	colitis	colitis	NOUN
bracis-28382	43	61	grade	grade	NOUN
bracis-28382	43	62	\(2	\(2	NOUN
bracis-28382	43	63	-	-	SYM
bracis-28382	43	64	3\	3\	NUM
bracis-28382	43	65	)	)	PUNCT
bracis-28382	43	66	,	,	PUNCT
bracis-28382	43	67	ulcerative	ulcerative	ADJ
bracis-28382	43	68	colitis	colitis	NOUN
bracis-28382	43	69	grade	grade	NOUN
bracis-28382	43	70	3	3	NUM
bracis-28382	43	71	,	,	PUNCT
bracis-28382	43	72	hemorrhoids	hemorrhoid	NOUN
bracis-28382	43	73	,	,	PUNCT
bracis-28382	43	74	dyed	dye	VERB
bracis-28382	43	75	lifted	lift	VERB
bracis-28382	43	76	polyps	polyp	NOUN
bracis-28382	43	77	,	,	PUNCT
bracis-28382	43	78	dyed	dye	VERB
bracis-28382	43	79	resection	resection	NOUN
bracis-28382	43	80	margins	margin	NOUN
bracis-28382	43	81	,	,	PUNCT
bracis-28382	43	82	bbps	bbps	PROPN
bracis-28382	43	83	0–1	0–1	NOUN
bracis-28382	43	84	,	,	PUNCT
bracis-28382	43	85	bbps	bbps	PROPN
bracis-28382	43	86	2–3	2–3	NUM
bracis-28382	43	87	,	,	PUNCT
bracis-28382	43	88	impacted	impact	VERB
bracis-28382	43	89	stool	stool	NOUN
bracis-28382	43	90	.	.	PUNCT
bracis-28382	44	1	the	the	DET
bracis-28382	44	2	dataset	dataset	NOUN
bracis-28382	44	3	offers	offer	VERB
bracis-28382	44	4	a	a	DET
bracis-28382	44	5	file	file	NOUN
bracis-28382	44	6	(	(	PUNCT
bracis-28382	44	7	.csv	.csv	VERB
bracis-28382	44	8	)	)	PUNCT
bracis-28382	44	9	with	with	ADP
bracis-28382	44	10	the	the	DET
bracis-28382	44	11	division	division	NOUN
bracis-28382	44	12	of	of	ADP
bracis-28382	44	13	classes	class	NOUN
bracis-28382	44	14	studied	study	VERB
bracis-28382	44	15	by	by	ADP
bracis-28382	44	16	borgli	borgli	NOUN
bracis-28382	44	17	 	 	SPACE
bracis-28382	45	1	[	[	X
bracis-28382	45	2	2	2	NUM
bracis-28382	45	3	]	]	PUNCT
bracis-28382	45	4	.	.	PUNCT
bracis-28382	46	1	fig	fig	NOUN
bracis-28382	46	2	.	.	PUNCT
bracis-28382	47	1	1	1	NUM
bracis-28382	47	2	.	.	X
bracis-28382	47	3	example	example	NOUN
bracis-28382	47	4	of	of	ADP
bracis-28382	47	5	images	image	NOUN
bracis-28382	47	6	present	present	ADJ
bracis-28382	47	7	in	in	ADP
bracis-28382	47	8	the	the	DET
bracis-28382	47	9	gastrointestinal	gastrointestinal	ADJ
bracis-28382	47	10	disease	disease	NOUN
bracis-28382	47	11	image	image	NOUN
bracis-28382	47	12	database	database	NOUN
bracis-28382	47	13	.	.	PUNCT
bracis-28382	48	1	these	these	DET
bracis-28382	48	2	images	image	NOUN
bracis-28382	48	3	are	be	AUX
bracis-28382	48	4	not	not	PART
bracis-28382	48	5	sequential	sequential	ADJ
bracis-28382	48	6	.	.	PUNCT
bracis-28382	49	1	full	full	ADJ
bracis-28382	49	2	size	size	NOUN
bracis-28382	49	3	image	image	NOUN
bracis-28382	49	4	2.2	2.2	NUM
bracis-28382	49	5	related	relate	VERB
bracis-28382	49	6	works	work	NOUN
bracis-28382	49	7	in	in	ADP
bracis-28382	49	8	our	our	PRON
bracis-28382	49	9	study	study	NOUN
bracis-28382	49	10	,	,	PUNCT
bracis-28382	49	11	we	we	PRON
bracis-28382	49	12	started	start	VERB
bracis-28382	49	13	by	by	ADP
bracis-28382	49	14	establishing	establish	VERB
bracis-28382	49	15	a	a	DET
bracis-28382	49	16	solid	solid	ADJ
bracis-28382	49	17	foundation	foundation	NOUN
bracis-28382	49	18	using	use	VERB
bracis-28382	49	19	the	the	DET
bracis-28382	49	20	reference	reference	NOUN
bracis-28382	49	21	article	article	NOUN
bracis-28382	49	22	[	[	X
bracis-28382	49	23	2	2	NUM
bracis-28382	49	24	]	]	PUNCT
bracis-28382	49	25	.	.	PUNCT
bracis-28382	50	1	expanding	expand	VERB
bracis-28382	50	2	upon	upon	SCONJ
bracis-28382	50	3	this	this	DET
bracis-28382	50	4	work	work	NOUN
bracis-28382	50	5	,	,	PUNCT
bracis-28382	50	6	we	we	PRON
bracis-28382	50	7	created	create	VERB
bracis-28382	50	8	a	a	DET
bracis-28382	50	9	comprehensive	comprehensive	ADJ
bracis-28382	50	10	graph	graph	NOUN
bracis-28382	50	11	,	,	PUNCT
bracis-28382	50	12	as	as	SCONJ
bracis-28382	50	13	illustrated	illustrate	VERB
bracis-28382	50	14	in	in	ADP
bracis-28382	50	15	fig	fig	NOUN
bracis-28382	50	16	.	.	PUNCT
bracis-28382	50	17	 	 	SPACE
bracis-28382	50	18	2	2	NUM
bracis-28382	50	19	,	,	PUNCT
bracis-28382	50	20	to	to	PART
bracis-28382	50	21	visually	visually	ADV
bracis-28382	50	22	illustrate	illustrate	VERB
bracis-28382	50	23	the	the	DET
bracis-28382	50	24	interconnectedness	interconnectedness	NOUN
bracis-28382	50	25	of	of	ADP
bracis-28382	50	26	relevant	relevant	ADJ
bracis-28382	50	27	papers	paper	NOUN
bracis-28382	50	28	in	in	ADP
bracis-28382	50	29	our	our	PRON
bracis-28382	50	30	research	research	NOUN
bracis-28382	50	31	field	field	NOUN
bracis-28382	50	32	.	.	PUNCT
bracis-28382	51	1	this	this	DET
bracis-28382	51	2	graph	graph	NOUN
bracis-28382	51	3	provides	provide	VERB
bracis-28382	51	4	a	a	DET
bracis-28382	51	5	valuable	valuable	ADJ
bracis-28382	51	6	representation	representation	NOUN
bracis-28382	51	7	of	of	ADP
bracis-28382	51	8	the	the	DET
bracis-28382	51	9	network	network	NOUN
bracis-28382	51	10	of	of	ADP
bracis-28382	51	11	related	related	ADJ
bracis-28382	51	12	literature	literature	NOUN
bracis-28382	51	13	,	,	PUNCT
bracis-28382	51	14	with	with	ADP
bracis-28382	51	15	a	a	DET
bracis-28382	51	16	specific	specific	ADJ
bracis-28382	51	17	focus	focus	NOUN
bracis-28382	51	18	on	on	ADP
bracis-28382	51	19	the	the	DET
bracis-28382	51	20	hyperkvasir	hyperkvasir	ADJ
bracis-28382	51	21	image	image	NOUN
bracis-28382	51	22	and	and	CCONJ
bracis-28382	51	23	video	video	NOUN
bracis-28382	51	24	dataset	dataset	NOUN
bracis-28382	51	25	for	for	ADP
bracis-28382	51	26	gastrointestinal	gastrointestinal	ADJ
bracis-28382	51	27	endoscopy	endoscopy	NOUN
bracis-28382	51	28	,	,	PUNCT
bracis-28382	51	29	as	as	SCONJ
bracis-28382	51	30	discussed	discuss	VERB
bracis-28382	51	31	by	by	ADP
bracis-28382	51	32	borgli	borgli	PROPN
bracis-28382	51	33	et	et	PROPN
bracis-28382	51	34	al	al	PROPN
bracis-28382	51	35	.	.	PUNCT
bracis-28382	52	1	[	[	X
bracis-28382	52	2	2	2	NUM
bracis-28382	52	3	]	]	PUNCT
bracis-28382	52	4	.	.	PUNCT
bracis-28382	53	1	fig	fig	NOUN
bracis-28382	53	2	.	.	PUNCT
bracis-28382	54	1	2	2	X
bracis-28382	54	2	.	.	X
bracis-28382	54	3	graph	graph	NOUN
bracis-28382	54	4	for	for	ADP
bracis-28382	54	5	connected	connected	ADJ
bracis-28382	54	6	papers	paper	NOUN
bracis-28382	54	7	with	with	ADP
bracis-28382	54	8	hyperkvasir	hyperkvasir	ADJ
bracis-28382	54	9	image	image	NOUN
bracis-28382	54	10	and	and	CCONJ
bracis-28382	54	11	video	video	NOUN
bracis-28382	54	12	dataset	dataset	NOUN
bracis-28382	54	13	for	for	ADP
bracis-28382	54	14	gastrointestinal	gastrointestinal	ADJ
bracis-28382	54	15	endoscopy	endoscopy	NOUN
bracis-28382	54	16	,	,	PUNCT
bracis-28382	54	17	borgli	borgli	PROPN
bracis-28382	54	18	et	et	PROPN
bracis-28382	54	19	al	al	PROPN
bracis-28382	54	20	.	.	PUNCT
bracis-28382	55	1	[	[	X
bracis-28382	55	2	2	2	NUM
bracis-28382	55	3	]	]	PUNCT
bracis-28382	55	4	.	.	PUNCT
bracis-28382	56	1	full	full	ADJ
bracis-28382	56	2	size	size	NOUN
bracis-28382	56	3	image	image	NOUN
bracis-28382	56	4	upon	upon	SCONJ
bracis-28382	56	5	analyzing	analyze	VERB
bracis-28382	56	6	the	the	DET
bracis-28382	56	7	graph	graph	NOUN
bracis-28382	56	8	,	,	PUNCT
bracis-28382	56	9	we	we	PRON
bracis-28382	56	10	identified	identify	VERB
bracis-28382	56	11	a	a	DET
bracis-28382	56	12	total	total	NOUN
bracis-28382	56	13	of	of	ADP
bracis-28382	56	14	41	41	NUM
bracis-28382	56	15	studies	study	NOUN
bracis-28382	56	16	connected	connect	VERB
bracis-28382	56	17	to	to	ADP
bracis-28382	56	18	the	the	DET
bracis-28382	56	19	article	article	NOUN
bracis-28382	56	20	[	[	X
bracis-28382	56	21	2	2	NUM
bracis-28382	56	22	]	]	PUNCT
bracis-28382	56	23	,	,	PUNCT
bracis-28382	56	24	resulting	result	VERB
bracis-28382	56	25	in	in	ADP
bracis-28382	56	26	a	a	DET
bracis-28382	56	27	set	set	NOUN
bracis-28382	56	28	of	of	ADP
bracis-28382	56	29	42	42	NUM
bracis-28382	56	30	relevant	relevant	ADJ
bracis-28382	56	31	studies	study	NOUN
bracis-28382	56	32	for	for	ADP
bracis-28382	56	33	our	our	PRON
bracis-28382	56	34	research	research	NOUN
bracis-28382	56	35	.	.	PUNCT
bracis-28382	57	1	however	however	ADV
bracis-28382	57	2	,	,	PUNCT
bracis-28382	57	3	we	we	PRON
bracis-28382	57	4	established	establish	VERB
bracis-28382	57	5	inclusion	inclusion	NOUN
bracis-28382	57	6	criteria	criterion	NOUN
bracis-28382	57	7	,	,	PUNCT
bracis-28382	57	8	considering	consider	VERB
bracis-28382	57	9	only	only	ADJ
bracis-28382	57	10	studies	study	NOUN
bracis-28382	57	11	published	publish	VERB
bracis-28382	57	12	after	after	ADP
bracis-28382	57	13	2019	2019	NUM
bracis-28382	57	14	,	,	PUNCT
bracis-28382	57	15	that	that	ADV
bracis-28382	57	16	is	is	ADV
bracis-28382	57	17	,	,	PUNCT
bracis-28382	57	18	after	after	ADP
bracis-28382	57	19	the	the	DET
bracis-28382	57	20	publication	publication	NOUN
bracis-28382	57	21	date	date	NOUN
bracis-28382	57	22	of	of	ADP
bracis-28382	57	23	the	the	DET
bracis-28382	57	24	base	base	NOUN
bracis-28382	57	25	article	article	NOUN
bracis-28382	57	26	.	.	PUNCT
bracis-28382	58	1	additionally	additionally	ADV
bracis-28382	58	2	,	,	PUNCT
bracis-28382	58	3	we	we	PRON
bracis-28382	58	4	excluded	exclude	VERB
bracis-28382	58	5	systematic	systematic	ADJ
bracis-28382	58	6	literature	literature	NOUN
bracis-28382	58	7	reviews	review	NOUN
bracis-28382	58	8	or	or	CCONJ
bracis-28382	58	9	survey	survey	NOUN
bracis-28382	58	10	studies	study	NOUN
bracis-28382	58	11	from	from	ADP
bracis-28382	58	12	our	our	PRON
bracis-28382	58	13	analysis	analysis	NOUN
bracis-28382	58	14	.	.	PUNCT
bracis-28382	59	1	the	the	DET
bracis-28382	59	2	10	10	NUM
bracis-28382	59	3	remaining	remain	VERB
bracis-28382	59	4	studies	study	NOUN
bracis-28382	59	5	were	be	AUX
bracis-28382	59	6	evaluated	evaluate	VERB
bracis-28382	59	7	for	for	ADP
bracis-28382	59	8	their	their	PRON
bracis-28382	59	9	degree	degree	NOUN
bracis-28382	59	10	of	of	ADP
bracis-28382	59	11	similarity	similarity	NOUN
bracis-28382	59	12	to	to	ADP
bracis-28382	59	13	the	the	DET
bracis-28382	59	14	base	base	NOUN
bracis-28382	59	15	article	article	NOUN
bracis-28382	59	16	,	,	PUNCT
bracis-28382	59	17	represented	represent	VERB
bracis-28382	59	18	by	by	ADP
bracis-28382	59	19	the	the	DET
bracis-28382	59	20	similarity	similarity	NOUN
bracis-28382	59	21	index	index	NOUN
bracis-28382	59	22	sbp	sbp	NOUN
bracis-28382	59	23	(	(	PUNCT
bracis-28382	59	24	similar	similar	ADJ
bracis-28382	59	25	based	base	VERB
bracis-28382	59	26	-	-	NOUN
bracis-28382	59	27	paper	paper	NOUN
bracis-28382	59	28	)	)	PUNCT
bracis-28382	59	29	,	,	PUNCT
bracis-28382	59	30	ranging	range	VERB
bracis-28382	59	31	from	from	ADP
bracis-28382	59	32	12	12	NUM
bracis-28382	59	33	%	%	NOUN
bracis-28382	59	34	to	to	PART
bracis-28382	59	35	100	100	NUM
bracis-28382	59	36	%	%	NOUN
bracis-28382	59	37	.	.	PUNCT
bracis-28382	60	1	the	the	PRON
bracis-28382	60	2	higher	high	ADJ
bracis-28382	60	3	the	the	DET
bracis-28382	60	4	sbpfootnote	sbpfootnote	ADJ
bracis-28382	60	5	2	2	NUM
bracis-28382	60	6	value	value	NOUN
bracis-28382	60	7	,	,	PUNCT
bracis-28382	60	8	the	the	PRON
bracis-28382	60	9	greater	great	ADJ
bracis-28382	60	10	the	the	DET
bracis-28382	60	11	similarity	similarity	NOUN
bracis-28382	60	12	between	between	ADP
bracis-28382	60	13	the	the	DET
bracis-28382	60	14	article	article	NOUN
bracis-28382	60	15	and	and	CCONJ
bracis-28382	60	16	the	the	DET
bracis-28382	60	17	base	base	NOUN
bracis-28382	60	18	work	work	NOUN
bracis-28382	60	19	(	(	PUNCT
bracis-28382	60	20	previous	previous	ADJ
bracis-28382	60	21	paper	paper	NOUN
bracis-28382	60	22	[	[	X
bracis-28382	60	23	2	2	NUM
bracis-28382	60	24	]	]	NUM
bracis-28382	60	25	)	)	PUNCT
bracis-28382	60	26	,	,	PUNCT
bracis-28382	60	27	which	which	PRON
bracis-28382	60	28	is	be	AUX
bracis-28382	60	29	relevant	relevant	ADJ
bracis-28382	60	30	to	to	ADP
bracis-28382	60	31	the	the	DET
bracis-28382	60	32	results	result	NOUN
bracis-28382	60	33	obtained	obtain	VERB
bracis-28382	60	34	in	in	ADP
bracis-28382	60	35	our	our	PRON
bracis-28382	60	36	research	research	NOUN
bracis-28382	60	37	.	.	PUNCT
bracis-28382	61	1	to	to	PART
bracis-28382	61	2	gather	gather	VERB
bracis-28382	61	3	related	related	ADJ
bracis-28382	61	4	works	work	NOUN
bracis-28382	61	5	for	for	ADP
bracis-28382	61	6	our	our	PRON
bracis-28382	61	7	paper	paper	NOUN
bracis-28382	61	8	,	,	PUNCT
bracis-28382	61	9	each	each	DET
bracis-28382	61	10	article	article	NOUN
bracis-28382	61	11	was	be	AUX
bracis-28382	61	12	thoroughly	thoroughly	ADV
bracis-28382	61	13	reviewed	review	VERB
bracis-28382	61	14	based	base	VERB
bracis-28382	61	15	on	on	ADP
bracis-28382	61	16	the	the	DET
bracis-28382	61	17	following	follow	VERB
bracis-28382	61	18	parameters	parameter	NOUN
bracis-28382	61	19	:	:	PUNCT
bracis-28382	61	20	study	study	NOUN
bracis-28382	61	21	name	name	NOUN
bracis-28382	61	22	and	and	CCONJ
bracis-28382	61	23	year	year	NOUN
bracis-28382	61	24	,	,	PUNCT
bracis-28382	61	25	task	task	NOUN
bracis-28382	61	26	performed	perform	VERB
bracis-28382	61	27	,	,	PUNCT
bracis-28382	61	28	cnn	cnn	PROPN
bracis-28382	61	29	architecture	architecture	NOUN
bracis-28382	61	30	used	use	VERB
bracis-28382	61	31	,	,	PUNCT
bracis-28382	61	32	methodology	methodology	NOUN
bracis-28382	61	33	approach	approach	NOUN
bracis-28382	61	34	,	,	PUNCT
bracis-28382	61	35	dataset	dataset	NOUN
bracis-28382	61	36	and	and	CCONJ
bracis-28382	61	37	(	(	PUNCT
bracis-28382	61	38	sbp	sbp	NOUN
bracis-28382	61	39	)	)	PUNCT
bracis-28382	61	40	similarity	similarity	NOUN
bracis-28382	61	41	on	on	ADP
bracis-28382	61	42	the	the	DET
bracis-28382	61	43	base	base	NOUN
bracis-28382	61	44	paper	paper	NOUN
bracis-28382	61	45	.	.	PUNCT
bracis-28382	62	1	these	these	DET
bracis-28382	62	2	parameters	parameter	NOUN
bracis-28382	62	3	were	be	AUX
bracis-28382	62	4	used	use	VERB
bracis-28382	62	5	to	to	PART
bracis-28382	62	6	assess	assess	VERB
bracis-28382	62	7	and	and	CCONJ
bracis-28382	62	8	categorize	categorize	VERB
bracis-28382	62	9	the	the	DET
bracis-28382	62	10	papers	paper	NOUN
bracis-28382	62	11	,	,	PUNCT
bracis-28382	62	12	ensuring	ensure	VERB
bracis-28382	62	13	that	that	SCONJ
bracis-28382	62	14	they	they	PRON
bracis-28382	62	15	align	align	VERB
bracis-28382	62	16	with	with	ADP
bracis-28382	62	17	the	the	DET
bracis-28382	62	18	focus	focus	NOUN
bracis-28382	62	19	and	and	CCONJ
bracis-28382	62	20	objectives	objective	NOUN
bracis-28382	62	21	of	of	ADP
bracis-28382	62	22	our	our	PRON
bracis-28382	62	23	research	research	NOUN
bracis-28382	62	24	.	.	PUNCT
bracis-28382	63	1	by	by	ADP
bracis-28382	63	2	analyzing	analyze	VERB
bracis-28382	63	3	each	each	DET
bracis-28382	63	4	article	article	NOUN
bracis-28382	63	5	based	base	VERB
bracis-28382	63	6	on	on	ADP
bracis-28382	63	7	these	these	DET
bracis-28382	63	8	criteria	criterion	NOUN
bracis-28382	63	9	,	,	PUNCT
bracis-28382	63	10	we	we	PRON
bracis-28382	63	11	were	be	AUX
bracis-28382	63	12	able	able	ADJ
bracis-28382	63	13	to	to	PART
bracis-28382	63	14	identify	identify	VERB
bracis-28382	63	15	and	and	CCONJ
bracis-28382	63	16	select	select	VERB
bracis-28382	63	17	relevant	relevant	ADJ
bracis-28382	63	18	works	work	NOUN
bracis-28382	63	19	that	that	PRON
bracis-28382	63	20	contribute	contribute	VERB
bracis-28382	63	21	to	to	ADP
bracis-28382	63	22	our	our	PRON
bracis-28382	63	23	study	study	NOUN
bracis-28382	63	24	.	.	PUNCT
bracis-28382	64	1	table	table	NOUN
bracis-28382	64	2	1	1	NUM
bracis-28382	64	3	.	.	PUNCT
bracis-28382	65	1	state	state	NOUN
bracis-28382	65	2	of	of	ADP
bracis-28382	65	3	the	the	DET
bracis-28382	65	4	art	art	NOUN
bracis-28382	65	5	summarization	summarization	NOUN
bracis-28382	65	6	considering	consider	VERB
bracis-28382	65	7	gi	gi	PART
bracis-28382	65	8	dataset	dataset	VERB
bracis-28382	65	9	for	for	ADP
bracis-28382	65	10	medical	medical	ADJ
bracis-28382	65	11	diagnoses.full	diagnoses.full	ADJ
bracis-28382	65	12	size	size	NOUN
bracis-28382	65	13	table	table	NOUN
bracis-28382	65	14	table	table	NOUN
bracis-28382	65	15	 	 	SPACE
bracis-28382	65	16	1	1	NUM
bracis-28382	65	17	shows	show	VERB
bracis-28382	65	18	several	several	ADJ
bracis-28382	65	19	studies	study	NOUN
bracis-28382	65	20	in	in	ADP
bracis-28382	65	21	the	the	DET
bracis-28382	65	22	context	context	NOUN
bracis-28382	65	23	of	of	ADP
bracis-28382	65	24	gastrointestinal	gastrointestinal	ADJ
bracis-28382	65	25	endoscopy	endoscopy	NOUN
bracis-28382	65	26	.	.	PUNCT
bracis-28382	66	1	the	the	DET
bracis-28382	66	2	studies	study	NOUN
bracis-28382	66	3	cover	cover	VERB
bracis-28382	66	4	a	a	DET
bracis-28382	66	5	range	range	NOUN
bracis-28382	66	6	of	of	ADP
bracis-28382	66	7	tasks	task	NOUN
bracis-28382	66	8	such	such	ADJ
bracis-28382	66	9	as	as	ADP
bracis-28382	66	10	polyp	polyp	NOUN
bracis-28382	66	11	classification	classification	NOUN
bracis-28382	66	12	,	,	PUNCT
bracis-28382	66	13	segmentation	segmentation	NOUN
bracis-28382	66	14	,	,	PUNCT
bracis-28382	66	15	detection	detection	NOUN
bracis-28382	66	16	,	,	PUNCT
bracis-28382	66	17	localization	localization	NOUN
bracis-28382	66	18	,	,	PUNCT
bracis-28382	66	19	and	and	CCONJ
bracis-28382	66	20	abnormality	abnormality	NOUN
bracis-28382	66	21	identification	identification	NOUN
bracis-28382	66	22	.	.	PUNCT
bracis-28382	67	1	various	various	ADJ
bracis-28382	67	2	deep	deep	ADJ
bracis-28382	67	3	learning	learning	NOUN
bracis-28382	67	4	architectures	architecture	NOUN
bracis-28382	67	5	,	,	PUNCT
bracis-28382	67	6	including	include	VERB
bracis-28382	67	7	cnns	cnn	NOUN
bracis-28382	67	8	like	like	ADP
bracis-28382	67	9	resnet-152	resnet-152	NOUN
bracis-28382	67	10	,	,	PUNCT
bracis-28382	67	11	densenet-161	densenet-161	ADJ
bracis-28382	67	12	,	,	PUNCT
bracis-28382	67	13	u	u	NOUN
bracis-28382	67	14	-	-	NOUN
bracis-28382	67	15	net	net	ADJ
bracis-28382	67	16	,	,	PUNCT
bracis-28382	67	17	pix2pix	pix2pix	NOUN
bracis-28382	67	18	and	and	CCONJ
bracis-28382	67	19	hganet	hganet	NOUN
bracis-28382	67	20	are	be	AUX
bracis-28382	67	21	utilized	utilize	VERB
bracis-28382	67	22	in	in	ADP
bracis-28382	67	23	these	these	DET
bracis-28382	67	24	studies	study	NOUN
bracis-28382	67	25	.	.	PUNCT
bracis-28382	68	1	different	different	ADJ
bracis-28382	68	2	methodologies	methodology	NOUN
bracis-28382	68	3	and	and	CCONJ
bracis-28382	68	4	techniques	technique	NOUN
bracis-28382	68	5	such	such	ADJ
bracis-28382	68	6	as	as	ADP
bracis-28382	68	7	fuzzy	fuzzy	ADJ
bracis-28382	68	8	c	c	NOUN
bracis-28382	68	9	-	-	PUNCT
bracis-28382	68	10	means	means	NOUN
bracis-28382	68	11	clustering	clustering	NOUN
bracis-28382	68	12	,	,	PUNCT
bracis-28382	68	13	resunet	resunet	ADJ
bracis-28382	68	14	,	,	PUNCT
bracis-28382	68	15	conditional	conditional	ADJ
bracis-28382	68	16	random	random	ADJ
bracis-28382	68	17	fields	field	NOUN
bracis-28382	68	18	(	(	PUNCT
bracis-28382	68	19	crf	crf	NOUN
bracis-28382	68	20	)	)	PUNCT
bracis-28382	68	21	,	,	PUNCT
bracis-28382	68	22	test	test	NOUN
bracis-28382	68	23	-	-	PUNCT
bracis-28382	68	24	time	time	NOUN
bracis-28382	68	25	augmentation	augmentation	NOUN
bracis-28382	68	26	(	(	PUNCT
bracis-28382	68	27	tta	tta	NOUN
bracis-28382	68	28	)	)	PUNCT
bracis-28382	68	29	,	,	PUNCT
bracis-28382	68	30	and	and	CCONJ
bracis-28382	68	31	adversarial	adversarial	ADJ
bracis-28382	68	32	training	training	NOUN
bracis-28382	68	33	are	be	AUX
bracis-28382	68	34	also	also	ADV
bracis-28382	68	35	employed	employ	VERB
bracis-28382	68	36	.	.	PUNCT
bracis-28382	69	1	multiple	multiple	ADJ
bracis-28382	69	2	datasets	dataset	NOUN
bracis-28382	69	3	are	be	AUX
bracis-28382	69	4	used	use	VERB
bracis-28382	69	5	for	for	ADP
bracis-28382	69	6	evaluation	evaluation	NOUN
bracis-28382	69	7	,	,	PUNCT
bracis-28382	69	8	including	include	VERB
bracis-28382	69	9	the	the	DET
bracis-28382	69	10	hyperkvasir	hyperkvasir	NOUN
bracis-28382	69	11	and	and	CCONJ
bracis-28382	69	12	the	the	DET
bracis-28382	69	13	ead2019	ead2019	ADJ
bracis-28382	69	14	datasets	dataset	NOUN
bracis-28382	69	15	.	.	PUNCT
bracis-28382	70	1	the	the	DET
bracis-28382	70	2	achieved	achieve	VERB
bracis-28382	70	3	similar	similar	ADJ
bracis-28382	70	4	based	base	VERB
bracis-28382	70	5	-	-	PUNCT
bracis-28382	70	6	paper	paper	NOUN
bracis-28382	70	7	(	(	PUNCT
bracis-28382	70	8	sbp	sbp	NOUN
bracis-28382	70	9	)	)	PUNCT
bracis-28382	70	10	rank	rank	NOUN
bracis-28382	70	11	is	be	AUX
bracis-28382	70	12	used	use	VERB
bracis-28382	70	13	as	as	ADP
bracis-28382	70	14	a	a	DET
bracis-28382	70	15	performance	performance	NOUN
bracis-28382	70	16	metric	metric	ADJ
bracis-28382	70	17	,	,	PUNCT
bracis-28382	70	18	with	with	ADP
bracis-28382	70	19	higher	high	ADJ
bracis-28382	70	20	values	value	NOUN
bracis-28382	70	21	indicating	indicate	VERB
bracis-28382	70	22	better	well	ADJ
bracis-28382	70	23	results	result	NOUN
bracis-28382	70	24	,	,	PUNCT
bracis-28382	70	25	which	which	PRON
bracis-28382	70	26	means	mean	VERB
bracis-28382	70	27	is	be	AUX
bracis-28382	70	28	most	most	ADV
bracis-28382	70	29	similar	similar	ADJ
bracis-28382	70	30	to	to	ADP
bracis-28382	70	31	paper	paper	NOUN
bracis-28382	70	32	[	[	X
bracis-28382	70	33	2	2	NUM
bracis-28382	70	34	]	]	PUNCT
bracis-28382	70	35	.	.	PUNCT
bracis-28382	71	1	these	these	DET
bracis-28382	71	2	studies	study	NOUN
bracis-28382	71	3	provided	provide	VERB
bracis-28382	71	4	valuable	valuable	ADJ
bracis-28382	71	5	insights	insight	NOUN
bracis-28382	71	6	and	and	CCONJ
bracis-28382	71	7	advancements	advancement	NOUN
bracis-28382	71	8	in	in	ADP
bracis-28382	71	9	leveraging	leverage	VERB
bracis-28382	71	10	deep	deep	ADJ
bracis-28382	71	11	learning	learning	NOUN
bracis-28382	71	12	and	and	CCONJ
bracis-28382	71	13	clustering	cluster	VERB
bracis-28382	71	14	techniques	technique	NOUN
bracis-28382	71	15	for	for	ADP
bracis-28382	71	16	gastrointestinal	gastrointestinal	ADJ
bracis-28382	71	17	endoscopy	endoscopy	NOUN
bracis-28382	71	18	.	.	PUNCT
bracis-28382	72	1	they	they	PRON
bracis-28382	72	2	contribute	contribute	VERB
bracis-28382	72	3	to	to	ADP
bracis-28382	72	4	the	the	DET
bracis-28382	72	5	development	development	NOUN
bracis-28382	72	6	of	of	ADP
bracis-28382	72	7	automated	automate	VERB
bracis-28382	72	8	systems	system	NOUN
bracis-28382	72	9	for	for	ADP
bracis-28382	72	10	polyp	polyp	NOUN
bracis-28382	72	11	classification	classification	NOUN
bracis-28382	72	12	,	,	PUNCT
bracis-28382	72	13	segmentation	segmentation	NOUN
bracis-28382	72	14	,	,	PUNCT
bracis-28382	72	15	and	and	CCONJ
bracis-28382	72	16	abnormality	abnormality	NOUN
bracis-28382	72	17	detection	detection	NOUN
bracis-28382	72	18	,	,	PUNCT
bracis-28382	72	19	which	which	PRON
bracis-28382	72	20	can	can	AUX
bracis-28382	72	21	improve	improve	VERB
bracis-28382	72	22	the	the	DET
bracis-28382	72	23	efficiency	efficiency	NOUN
bracis-28382	72	24	and	and	CCONJ
bracis-28382	72	25	accuracy	accuracy	NOUN
bracis-28382	72	26	of	of	ADP
bracis-28382	72	27	medical	medical	ADJ
bracis-28382	72	28	diagnoses	diagnosis	NOUN
bracis-28382	72	29	.	.	PUNCT
bracis-28382	73	1	besides	besides	SCONJ
bracis-28382	73	2	that	that	PRON
bracis-28382	73	3	,	,	PUNCT
bracis-28382	73	4	these	these	DET
bracis-28382	73	5	papers	paper	NOUN
bracis-28382	73	6	served	serve	VERB
bracis-28382	73	7	as	as	ADP
bracis-28382	73	8	the	the	DET
bracis-28382	73	9	foundation	foundation	NOUN
bracis-28382	73	10	for	for	ADP
bracis-28382	73	11	our	our	PRON
bracis-28382	73	12	study	study	NOUN
bracis-28382	73	13	,	,	PUNCT
bracis-28382	73	14	as	as	SCONJ
bracis-28382	73	15	they	they	PRON
bracis-28382	73	16	utilized	utilize	VERB
bracis-28382	73	17	various	various	ADJ
bracis-28382	73	18	cnns	cnn	NOUN
bracis-28382	73	19	for	for	ADP
bracis-28382	73	20	different	different	ADJ
bracis-28382	73	21	approaches	approach	NOUN
bracis-28382	73	22	to	to	ADP
bracis-28382	73	23	gi	gi	VERB
bracis-28382	73	24	problems	problem	NOUN
bracis-28382	73	25	.	.	PUNCT
bracis-28382	74	1	2.3	2.3	NUM
bracis-28382	74	2	background	background	NOUN
bracis-28382	74	3	model	model	NOUN
bracis-28382	74	4	in	in	ADP
bracis-28382	74	5	borgli	borgli	PROPN
bracis-28382	74	6	et	et	PROPN
bracis-28382	74	7	al	al	PROPN
bracis-28382	74	8	.	.	PUNCT
bracis-28382	75	1	[	[	X
bracis-28382	75	2	2	2	NUM
bracis-28382	75	3	]	]	PUNCT
bracis-28382	75	4	,	,	PUNCT
bracis-28382	75	5	the	the	DET
bracis-28382	75	6	authors	author	NOUN
bracis-28382	75	7	proposed	propose	VERB
bracis-28382	75	8	a	a	DET
bracis-28382	75	9	classification	classification	NOUN
bracis-28382	75	10	model	model	NOUN
bracis-28382	75	11	represented	represent	VERB
bracis-28382	75	12	in	in	ADP
bracis-28382	75	13	fig	fig	NOUN
bracis-28382	75	14	.	.	PUNCT
bracis-28382	75	15	 	 	SPACE
bracis-28382	76	1	3	3	X
bracis-28382	76	2	.	.	PUNCT
bracis-28382	77	1	the	the	DET
bracis-28382	77	2	model	model	NOUN
bracis-28382	77	3	is	be	AUX
bracis-28382	77	4	composed	compose	VERB
bracis-28382	77	5	of	of	ADP
bracis-28382	77	6	pre	pre	ADJ
bracis-28382	77	7	-	-	ADJ
bracis-28382	77	8	trained	train	VERB
bracis-28382	77	9	cnns	cnn	NOUN
bracis-28382	77	10	,	,	PUNCT
bracis-28382	77	11	densenet161	densenet161	PROPN
bracis-28382	77	12	and	and	CCONJ
bracis-28382	77	13	resnet152	resnet152	PROPN
bracis-28382	77	14	.	.	PUNCT
bracis-28382	78	1	each	each	DET
bracis-28382	78	2	cnn	cnn	PROPN
bracis-28382	78	3	model	model	NOUN
bracis-28382	78	4	is	be	AUX
bracis-28382	78	5	a	a	DET
bracis-28382	78	6	function	function	NOUN
bracis-28382	78	7	,	,	PUNCT
bracis-28382	78	8	m	m	PRON
bracis-28382	78	9	,	,	PUNCT
bracis-28382	78	10	composed	compose	VERB
bracis-28382	78	11	of	of	ADP
bracis-28382	78	12	a	a	DET
bracis-28382	78	13	set	set	NOUN
bracis-28382	78	14	of	of	ADP
bracis-28382	78	15	subfunctions	subfunction	NOUN
bracis-28382	78	16	(	(	PUNCT
bracis-28382	78	17	convolution	convolution	NOUN
bracis-28382	78	18	,	,	PUNCT
bracis-28382	78	19	pooling	pooling	NOUN
bracis-28382	78	20	,	,	PUNCT
bracis-28382	78	21	batch	batch	NOUN
bracis-28382	78	22	normalization	normalization	NOUN
bracis-28382	78	23	,	,	PUNCT
bracis-28382	78	24	softmax	softmax	NOUN
bracis-28382	78	25	,	,	PUNCT
bracis-28382	78	26	optimize	optimize	NOUN
bracis-28382	78	27	,	,	PUNCT
bracis-28382	78	28	etc	etc	X
bracis-28382	78	29	.	.	X
bracis-28382	78	30	)	)	PUNCT
bracis-28382	79	1	which	which	PRON
bracis-28382	79	2	,	,	PUNCT
bracis-28382	79	3	in	in	ADP
bracis-28382	79	4	this	this	DET
bracis-28382	79	5	case	case	NOUN
bracis-28382	79	6	,	,	PUNCT
bracis-28382	79	7	given	give	VERB
bracis-28382	79	8	an	an	DET
bracis-28382	79	9	input	input	NOUN
bracis-28382	79	10	image	image	NOUN
bracis-28382	79	11	\(\overrightarrow{\chi	\(\overrightarrow{\chi	X
bracis-28382	79	12	}	}	PUNCT
bracis-28382	79	13	\	\	PROPN
bracis-28382	79	14	)	)	PUNCT
bracis-28382	79	15	,	,	PUNCT
bracis-28382	79	16	a	a	DET
bracis-28382	79	17	learning	learning	NOUN
bracis-28382	79	18	rate	rate	NOUN
bracis-28382	79	19	value	value	NOUN
bracis-28382	79	20	\(\eta	\(\eta	PUNCT
bracis-28382	79	21	\	\	NOUN
bracis-28382	79	22	)	)	PUNCT
bracis-28382	79	23	and	and	CCONJ
bracis-28382	79	24	the	the	DET
bracis-28382	79	25	number	number	NOUN
bracis-28382	79	26	of	of	ADP
bracis-28382	79	27	epochs	epoch	NOUN
bracis-28382	79	28	e	e	NOUN
bracis-28382	79	29	,	,	PUNCT
bracis-28382	79	30	returns	return	VERB
bracis-28382	79	31	an	an	DET
bracis-28382	79	32	output	output	NOUN
bracis-28382	79	33	\(\overrightarrow{p}\	\(\overrightarrow{p}\	NUM
bracis-28382	79	34	)	)	PUNCT
bracis-28382	79	35	,	,	PUNCT
bracis-28382	79	36	according	accord	VERB
bracis-28382	79	37	to	to	ADP
bracis-28382	79	38	the	the	DET
bracis-28382	79	39	function	function	NOUN
bracis-28382	79	40	:	:	PUNCT
bracis-28382	79	41	$	$	SYM
bracis-28382	79	42	$	$	SYM
bracis-28382	79	43	\begin{aligned	\begin{aligne	VERB
bracis-28382	79	44	}	}	PUNCT
bracis-28382	79	45	\overrightarrow{p}_{i	\overrightarrow{p}_{i	PROPN
bracis-28382	79	46	}	}	PUNCT
bracis-28382	79	47	=	=	SYM
bracis-28382	79	48	m(\overrightarrow{\chi	m(\overrightarrow{\chi	X
bracis-28382	79	49	}	}	PUNCT
bracis-28382	79	50	,	,	PUNCT
bracis-28382	79	51	\eta	\eta	PROPN
bracis-28382	79	52	,	,	PUNCT
bracis-28382	79	53	e	e	X
bracis-28382	79	54	)	)	PUNCT
bracis-28382	79	55	\end{aligned}$$	\end{aligned}$$	X
bracis-28382	79	56	(	(	PUNCT
bracis-28382	79	57	1	1	X
bracis-28382	79	58	)	)	PUNCT
bracis-28382	79	59	fig	fig	NOUN
bracis-28382	79	60	.	.	PUNCT
bracis-28382	80	1	3	3	X
bracis-28382	80	2	.	.	X
bracis-28382	80	3	previous	previous	ADJ
bracis-28382	80	4	model	model	NOUN
bracis-28382	80	5	[	[	X
bracis-28382	80	6	2	2	NUM
bracis-28382	80	7	]	]	PUNCT
bracis-28382	80	8	for	for	ADP
bracis-28382	80	9	cnn	cnn	PROPN
bracis-28382	80	10	models	model	NOUN
bracis-28382	80	11	training	training	NOUN
bracis-28382	80	12	and	and	CCONJ
bracis-28382	80	13	fusion	fusion	NOUN
bracis-28382	80	14	process	process	NOUN
bracis-28382	80	15	.	.	PUNCT
bracis-28382	81	1	full	full	ADJ
bracis-28382	81	2	size	size	NOUN
bracis-28382	81	3	image	image	NOUN
bracis-28382	81	4	the	the	DET
bracis-28382	81	5	output	output	NOUN
bracis-28382	81	6	,	,	PUNCT
bracis-28382	81	7	\(\overrightarrow{p}\	\(\overrightarrow{p}\	NOUN
bracis-28382	81	8	)	)	PUNCT
bracis-28382	81	9	,	,	PUNCT
bracis-28382	81	10	is	be	AUX
bracis-28382	81	11	a	a	DET
bracis-28382	81	12	probability	probability	NOUN
bracis-28382	81	13	vector	vector	NOUN
bracis-28382	81	14	that	that	PRON
bracis-28382	81	15	indicates	indicate	VERB
bracis-28382	81	16	the	the	DET
bracis-28382	81	17	probability	probability	NOUN
bracis-28382	81	18	that	that	SCONJ
bracis-28382	81	19	\(\overrightarrow{v}_i\	\(\overrightarrow{v}_i\	PROPN
bracis-28382	81	20	)	)	PUNCT
bracis-28382	81	21	belongs	belong	VERB
bracis-28382	81	22	to	to	ADP
bracis-28382	81	23	one	one	NUM
bracis-28382	81	24	of	of	ADP
bracis-28382	81	25	the	the	DET
bracis-28382	81	26	classes	class	NOUN
bracis-28382	81	27	of	of	ADP
bracis-28382	81	28	the	the	DET
bracis-28382	81	29	problem	problem	NOUN
bracis-28382	81	30	.	.	PUNCT
bracis-28382	82	1	the	the	DET
bracis-28382	82	2	vector	vector	NOUN
bracis-28382	82	3	\(\overrightarrow{p	\(\overrightarrow{p	PROPN
bracis-28382	82	4	}	}	PUNCT
bracis-28382	82	5	=[	=[	NOUN
bracis-28382	82	6	c_1	c_1	PROPN
bracis-28382	82	7	,	,	PUNCT
bracis-28382	82	8	c_2	c_2	PROPN
bracis-28382	82	9	,	,	PUNCT
bracis-28382	82	10	c_3	c_3	PROPN
bracis-28382	82	11	,	,	PUNCT
bracis-28382	82	12	\cdots	\cdot	NOUN
bracis-28382	82	13	,	,	PUNCT
bracis-28382	82	14	c_{23}]\	c_{23}]\	NOUN
bracis-28382	82	15	)	)	PUNCT
bracis-28382	82	16	,	,	PUNCT
bracis-28382	83	1	where	where	SCONJ
bracis-28382	83	2	\(c	\(c	ADJ
bracis-28382	83	3	\in	\in	PROPN
bracis-28382	83	4	c\	c\	NOUN
bracis-28382	83	5	)	)	PUNCT
bracis-28382	83	6	for	for	ADP
bracis-28382	83	7	each	each	DET
bracis-28382	83	8	gi	gi	NOUN
bracis-28382	83	9	class	class	NOUN
bracis-28382	83	10	and	and	CCONJ
bracis-28382	83	11	\(|c|	\(|c|	NOUN
bracis-28382	83	12	=	=	SYM
bracis-28382	83	13	23\	23\	NUM
bracis-28382	83	14	)	)	PUNCT
bracis-28382	84	1	.	.	PUNCT
bracis-28382	85	1	given	give	VERB
bracis-28382	85	2	a	a	DET
bracis-28382	85	3	dataset	dataset	NOUN
bracis-28382	85	4	with	with	ADP
bracis-28382	85	5	10639	10639	NUM
bracis-28382	85	6	gastrointestinal	gastrointestinal	ADJ
bracis-28382	85	7	images	image	NOUN
bracis-28382	85	8	,	,	PUNCT
bracis-28382	85	9	\(\overrightarrow{\chi	\(\overrightarrow{\chi	X
bracis-28382	85	10	}	}	PUNCT
bracis-28382	85	11	\	\	NOUN
bracis-28382	85	12	)	)	PUNCT
bracis-28382	85	13	,	,	PUNCT
bracis-28382	85	14	divided	divide	VERB
bracis-28382	85	15	into	into	ADP
bracis-28382	85	16	two	two	NUM
bracis-28382	85	17	splits	split	NOUN
bracis-28382	85	18	,	,	PUNCT
bracis-28382	85	19	one	one	PRON
bracis-28382	85	20	set	set	VERB
bracis-28382	85	21	with	with	ADP
bracis-28382	85	22	5315	5315	NUM
bracis-28382	85	23	images	image	NOUN
bracis-28382	85	24	and	and	CCONJ
bracis-28382	85	25	another	another	DET
bracis-28382	85	26	set	set	NOUN
bracis-28382	85	27	with	with	ADP
bracis-28382	85	28	5324	5324	NUM
bracis-28382	85	29	images	image	NOUN
bracis-28382	85	30	.	.	PUNCT
bracis-28382	86	1	the	the	DET
bracis-28382	86	2	model	model	NOUN
bracis-28382	86	3	proposed	propose	VERB
bracis-28382	86	4	in	in	ADP
bracis-28382	86	5	[	[	X
bracis-28382	86	6	2	2	NUM
bracis-28382	86	7	]	]	PUNCT
bracis-28382	86	8	alternates	alternate	NOUN
bracis-28382	86	9	sets	set	NOUN
bracis-28382	86	10	for	for	ADP
bracis-28382	86	11	training	training	NOUN
bracis-28382	86	12	and	and	CCONJ
bracis-28382	86	13	validation	validation	NOUN
bracis-28382	86	14	.	.	PUNCT
bracis-28382	87	1	the	the	DET
bracis-28382	87	2	final	final	ADJ
bracis-28382	87	3	response	response	NOUN
bracis-28382	87	4	of	of	ADP
bracis-28382	87	5	the	the	DET
bracis-28382	87	6	model	model	NOUN
bracis-28382	87	7	is	be	AUX
bracis-28382	87	8	the	the	DET
bracis-28382	87	9	average	average	NOUN
bracis-28382	87	10	of	of	ADP
bracis-28382	87	11	the	the	DET
bracis-28382	87	12	results	result	NOUN
bracis-28382	87	13	of	of	ADP
bracis-28382	87	14	the	the	DET
bracis-28382	87	15	two	two	NUM
bracis-28382	87	16	splits	split	NOUN
bracis-28382	87	17	.	.	PUNCT
bracis-28382	88	1	for	for	ADP
bracis-28382	88	2	each	each	DET
bracis-28382	88	3	split	split	NOUN
bracis-28382	88	4	,	,	PUNCT
bracis-28382	88	5	the	the	DET
bracis-28382	88	6	authors	author	NOUN
bracis-28382	88	7	trained	train	VERB
bracis-28382	88	8	the	the	DET
bracis-28382	88	9	cnns	cnn	NOUN
bracis-28382	88	10	models	model	NOUN
bracis-28382	88	11	\(m_{1}\	\(m_{1}\	ADV
bracis-28382	88	12	)	)	PUNCT
bracis-28382	88	13	and	and	CCONJ
bracis-28382	88	14	\(m_{2}\	\(m_{2}\	NOUN
bracis-28382	88	15	)	)	PUNCT
bracis-28382	88	16	,	,	PUNCT
bracis-28382	88	17	respectively	respectively	ADV
bracis-28382	88	18	,	,	PUNCT
bracis-28382	88	19	densenet161	densenet161	PROPN
bracis-28382	88	20	and	and	CCONJ
bracis-28382	88	21	resnet152	resnet152	PROPN
bracis-28382	88	22	,	,	PUNCT
bracis-28382	88	23	using	use	VERB
bracis-28382	88	24	\(\eta	\(\eta	NOUN
bracis-28382	88	25	=	=	ADJ
bracis-28382	88	26	0.001\	0.001\	NUM
bracis-28382	88	27	)	)	PUNCT
bracis-28382	88	28	,	,	PUNCT
bracis-28382	88	29	\(e	\(e	NOUN
bracis-28382	88	30	=	=	SYM
bracis-28382	88	31	50\	50\	NUM
bracis-28382	88	32	)	)	PUNCT
bracis-28382	88	33	and	and	CCONJ
bracis-28382	88	34	optimize	optimize	VERB
bracis-28382	88	35	sgd	sgd	PROPN
bracis-28382	88	36	,	,	PUNCT
bracis-28382	88	37	stochastic	stochastic	ADJ
bracis-28382	88	38	gradient	gradient	ADJ
bracis-28382	88	39	descent	descent	NOUN
bracis-28382	88	40	;	;	PUNCT
bracis-28382	88	41	\(m_{1}\	\(m_{1}\	X
bracis-28382	88	42	)	)	PUNCT
bracis-28382	88	43	and	and	CCONJ
bracis-28382	88	44	\(m_{2}\	\(m_{2}\	NOUN
bracis-28382	88	45	)	)	PUNCT
bracis-28382	88	46	generated	generate	VERB
bracis-28382	88	47	the	the	DET
bracis-28382	88	48	responses	response	NOUN
bracis-28382	88	49	\(\overrightarrow{p}_{1}\	\(\overrightarrow{p}_{1}\	ADJ
bracis-28382	88	50	)	)	PUNCT
bracis-28382	88	51	and	and	CCONJ
bracis-28382	88	52	\(\overrightarrow{p}_{2}\	\(\overrightarrow{p}_{2}\	NOUN
bracis-28382	88	53	)	)	PUNCT
bracis-28382	88	54	,	,	PUNCT
bracis-28382	88	55	respectively	respectively	ADV
bracis-28382	88	56	.	.	PUNCT
bracis-28382	89	1	after	after	ADP
bracis-28382	89	2	training	training	NOUN
bracis-28382	89	3	,	,	PUNCT
bracis-28382	89	4	the	the	DET
bracis-28382	89	5	best	good	ADJ
bracis-28382	89	6	weight	weight	NOUN
bracis-28382	89	7	set	set	VERB
bracis-28382	89	8	\(\overrightarrow{w}\	\(\overrightarrow{w}\	NOUN
bracis-28382	89	9	)	)	PUNCT
bracis-28382	89	10	for	for	ADP
bracis-28382	89	11	each	each	DET
bracis-28382	89	12	model	model	NOUN
bracis-28382	89	13	was	be	AUX
bracis-28382	89	14	found	find	VERB
bracis-28382	89	15	and	and	CCONJ
bracis-28382	89	16	the	the	DET
bracis-28382	89	17	best	well	ADV
bracis-28382	89	18	-	-	PUNCT
bracis-28382	89	19	trained	train	VERB
bracis-28382	89	20	models	model	NOUN
bracis-28382	89	21	\(m_{1}^{b}\	\(m_{1}^{b}\	NOUN
bracis-28382	89	22	)	)	PUNCT
bracis-28382	89	23	and	and	CCONJ
bracis-28382	89	24	\(m_{2}^{b}\	\(m_{2}^{b}\	NOUN
bracis-28382	89	25	)	)	PUNCT
bracis-28382	89	26	are	be	AUX
bracis-28382	89	27	saved	save	VERB
bracis-28382	89	28	.	.	PUNCT
bracis-28382	90	1	using	use	VERB
bracis-28382	90	2	the	the	DET
bracis-28382	90	3	trained	train	VERB
bracis-28382	90	4	models	model	NOUN
bracis-28382	90	5	,	,	PUNCT
bracis-28382	90	6	a	a	DET
bracis-28382	90	7	model	model	NOUN
bracis-28382	90	8	\(m^{\nu	\(m^{\nu	NOUN
bracis-28382	90	9	}	}	PUNCT
bracis-28382	90	10	\	\	NOUN
bracis-28382	90	11	)	)	PUNCT
bracis-28382	90	12	is	be	AUX
bracis-28382	90	13	created	create	VERB
bracis-28382	90	14	:	:	PUNCT
bracis-28382	90	15	$	$	SYM
bracis-28382	90	16	$	$	SYM
bracis-28382	90	17	\begin{aligned	\begin{aligne	VERB
bracis-28382	90	18	}	}	PUNCT
bracis-28382	90	19	\overrightarrow{p}_{i}^{\nu	\overrightarrow{p}_{i}^{\nu	PUNCT
bracis-28382	90	20	}	}	PUNCT
bracis-28382	90	21	=	=	SYM
bracis-28382	90	22	m^{\nu	m^{\nu	NOUN
bracis-28382	90	23	}	}	PUNCT
bracis-28382	90	24	(	(	PUNCT
bracis-28382	90	25	\overrightarrow{\chi	\overrightarrow{\chi	PROPN
bracis-28382	90	26	}	}	PUNCT
bracis-28382	90	27	,	,	PUNCT
bracis-28382	90	28	\eta	\eta	PROPN
bracis-28382	90	29	,	,	PUNCT
bracis-28382	90	30	e	e	NOUN
bracis-28382	90	31	,	,	PUNCT
bracis-28382	90	32	m_{1}^{b	m_{1}^{b	NOUN
bracis-28382	90	33	}	}	PUNCT
bracis-28382	90	34	,	,	PUNCT
bracis-28382	90	35	m_{2}^{b	m_{2}^{b	NOUN
bracis-28382	90	36	}	}	PUNCT
bracis-28382	90	37	)	)	PUNCT
bracis-28382	90	38	,	,	PUNCT
bracis-28382	90	39	\end{aligned}$$	\end{aligned}$$	X
bracis-28382	90	40	(	(	PUNCT
bracis-28382	90	41	2	2	NUM
bracis-28382	90	42	)	)	PUNCT
bracis-28382	90	43	since	since	SCONJ
bracis-28382	90	44	\(\overrightarrow{p}_{i}^{\nu	\(\overrightarrow{p}_{i}^{\nu	PROPN
bracis-28382	90	45	}	}	PUNCT
bracis-28382	90	46	=	=	SYM
bracis-28382	90	47	\frac{(\overrightarrow{p}_{1}^{b	\frac{(\overrightarrow{p}_{1}^{b	NOUN
bracis-28382	90	48	}	}	PUNCT
bracis-28382	90	49	+	+	NUM
bracis-28382	90	50	\overrightarrow{p}_{2}^{b})}{2}\	\overrightarrow{p}_{2}^{b})}{2}\	NOUN
bracis-28382	90	51	)	)	PUNCT
bracis-28382	90	52	,	,	PUNCT
bracis-28382	90	53	\(\overrightarrow{p}_{1}^{b}\	\(\overrightarrow{p}_{1}^{b}\	PROPN
bracis-28382	90	54	)	)	PUNCT
bracis-28382	90	55	and	and	CCONJ
bracis-28382	90	56	\(\overrightarrow{p}_{2}^{b}\	\(\overrightarrow{p}_{2}^{b}\	PROPN
bracis-28382	90	57	)	)	PUNCT
bracis-28382	90	58	are	be	AUX
bracis-28382	90	59	output	output	NOUN
bracis-28382	90	60	of	of	ADP
bracis-28382	90	61	\(m_{1}^{b}\	\(m_{1}^{b}\	NOUN
bracis-28382	90	62	)	)	PUNCT
bracis-28382	90	63	and	and	CCONJ
bracis-28382	90	64	\(m_{2}^{b}\	\(m_{2}^{b}\	NOUN
bracis-28382	90	65	)	)	PUNCT
bracis-28382	90	66	,	,	PUNCT
bracis-28382	90	67	respectively	respectively	ADV
bracis-28382	90	68	.	.	PUNCT
bracis-28382	91	1	for	for	ADP
bracis-28382	91	2	each	each	DET
bracis-28382	91	3	split	split	NOUN
bracis-28382	91	4	,	,	PUNCT
bracis-28382	91	5	the	the	DET
bracis-28382	91	6	cnn	cnn	PROPN
bracis-28382	91	7	model	model	NOUN
bracis-28382	91	8	\(m^{\nu	\(m^{\nu	PROPN
bracis-28382	91	9	}	}	PUNCT
bracis-28382	91	10	\	\	NOUN
bracis-28382	91	11	)	)	PUNCT
bracis-28382	91	12	was	be	AUX
bracis-28382	91	13	trained	train	VERB
bracis-28382	91	14	using	use	VERB
bracis-28382	91	15	\(\eta	\(\eta	NOUN
bracis-28382	91	16	=	=	ADJ
bracis-28382	91	17	0.001\	0.001\	NUM
bracis-28382	91	18	)	)	PUNCT
bracis-28382	91	19	and	and	CCONJ
bracis-28382	92	1	\(e	\(e	NOUN
bracis-28382	92	2	=	=	ADJ
bracis-28382	92	3	50\	50\	NUM
bracis-28382	92	4	)	)	PUNCT
bracis-28382	92	5	.	.	PUNCT
bracis-28382	93	1	3	3	NUM
bracis-28382	93	2	proposal	proposal	NOUN
bracis-28382	93	3	in	in	ADP
bracis-28382	93	4	this	this	DET
bracis-28382	93	5	paper	paper	NOUN
bracis-28382	93	6	,	,	PUNCT
bracis-28382	93	7	we	we	PRON
bracis-28382	93	8	have	have	VERB
bracis-28382	93	9	two	two	NUM
bracis-28382	93	10	proposals	proposal	NOUN
bracis-28382	93	11	.	.	PUNCT
bracis-28382	94	1	the	the	DET
bracis-28382	94	2	first	first	ADJ
bracis-28382	94	3	proposal	proposal	NOUN
bracis-28382	94	4	sought	seek	VERB
bracis-28382	94	5	to	to	PART
bracis-28382	94	6	overcome	overcome	VERB
bracis-28382	94	7	the	the	DET
bracis-28382	94	8	literature	literature	NOUN
bracis-28382	94	9	results	result	NOUN
bracis-28382	94	10	using	use	VERB
bracis-28382	94	11	fewer	few	ADJ
bracis-28382	94	12	gpu	gpu	NOUN
bracis-28382	94	13	resources	resource	NOUN
bracis-28382	94	14	than	than	ADP
bracis-28382	94	15	the	the	DET
bracis-28382	94	16	second	second	ADJ
bracis-28382	94	17	proposal	proposal	NOUN
bracis-28382	94	18	,	,	PUNCT
bracis-28382	94	19	which	which	PRON
bracis-28382	94	20	is	be	AUX
bracis-28382	94	21	an	an	DET
bracis-28382	94	22	expansion	expansion	NOUN
bracis-28382	94	23	of	of	ADP
bracis-28382	94	24	what	what	PRON
bracis-28382	94	25	the	the	DET
bracis-28382	94	26	authors	author	NOUN
bracis-28382	94	27	propose	propose	VERB
bracis-28382	94	28	in	in	ADP
bracis-28382	94	29	[	[	X
bracis-28382	94	30	2	2	NUM
bracis-28382	94	31	]	]	PUNCT
bracis-28382	94	32	.	.	PUNCT
bracis-28382	95	1	the	the	DET
bracis-28382	95	2	second	second	ADJ
bracis-28382	95	3	proposal	proposal	NOUN
bracis-28382	95	4	sought	seek	VERB
bracis-28382	95	5	to	to	PART
bracis-28382	95	6	verify	verify	VERB
bracis-28382	95	7	whether	whether	SCONJ
bracis-28382	95	8	other	other	ADJ
bracis-28382	95	9	cnn	cnn	PROPN
bracis-28382	95	10	fusions	fusion	NOUN
bracis-28382	95	11	,	,	PUNCT
bracis-28382	95	12	even	even	ADV
bracis-28382	95	13	using	use	VERB
bracis-28382	95	14	more	more	ADJ
bracis-28382	95	15	gpu	gpu	NOUN
bracis-28382	95	16	resources	resource	NOUN
bracis-28382	95	17	,	,	PUNCT
bracis-28382	95	18	outperformed	outperform	VERB
bracis-28382	95	19	the	the	DET
bracis-28382	95	20	literature	literature	NOUN
bracis-28382	95	21	results	result	NOUN
bracis-28382	95	22	.	.	PUNCT
bracis-28382	96	1	the	the	DET
bracis-28382	96	2	cnns	cnns	PROPN
bracis-28382	96	3	models	model	NOUN
bracis-28382	96	4	used	use	VERB
bracis-28382	96	5	are	be	AUX
bracis-28382	96	6	accessible	accessible	ADJ
bracis-28382	96	7	through	through	ADP
bracis-28382	96	8	the	the	DET
bracis-28382	96	9	pytorch	pytorch	NOUN
bracis-28382	96	10	framework	framework	NOUN
bracis-28382	96	11	.	.	PUNCT
bracis-28382	97	1	3.1	3.1	NUM
bracis-28382	97	2	fusion	fusion	NOUN
bracis-28382	97	3	and	and	CCONJ
bracis-28382	97	4	 	 	SPACE
bracis-28382	97	5	ensemble	ensemble	ADJ
bracis-28382	97	6	processes	process	VERB
bracis-28382	97	7	our	our	PRON
bracis-28382	97	8	first	first	ADJ
bracis-28382	97	9	proposal	proposal	NOUN
bracis-28382	97	10	was	be	AUX
bracis-28382	97	11	to	to	PART
bracis-28382	97	12	individually	individually	ADV
bracis-28382	97	13	train	train	VERB
bracis-28382	97	14	a	a	DET
bracis-28382	97	15	set	set	NOUN
bracis-28382	97	16	of	of	ADP
bracis-28382	97	17	cnns	cnns	ADJ
bracis-28382	97	18	models	model	NOUN
bracis-28382	97	19	\(\{m_{1	\(\{m_{1	NOUN
bracis-28382	97	20	}	}	PUNCT
bracis-28382	97	21	,	,	PUNCT
bracis-28382	97	22	m_{2},\	m_{2},\	ADJ
bracis-28382	97	23	)	)	PUNCT
bracis-28382	97	24	\(m_{3	\(m_{3	ADV
bracis-28382	97	25	}	}	PUNCT
bracis-28382	97	26	,	,	PUNCT
bracis-28382	97	27	...	...	PUNCT
bracis-28382	97	28	,	,	PUNCT
bracis-28382	97	29	m_{n}\}\	m_{n}\}\	NOUN
bracis-28382	97	30	)	)	PUNCT
bracis-28382	97	31	and	and	CCONJ
bracis-28382	97	32	get	get	VERB
bracis-28382	97	33	their	their	PRON
bracis-28382	97	34	respective	respective	ADJ
bracis-28382	97	35	answers	answer	NOUN
bracis-28382	97	36	\(\{\overrightarrow{p}_{1	\(\{\overrightarrow{p}_{1	NOUN
bracis-28382	97	37	}	}	PUNCT
bracis-28382	97	38	,	,	PUNCT
bracis-28382	97	39	\overrightarrow{p}_{2	\overrightarrow{p}_{2	PROPN
bracis-28382	97	40	}	}	PUNCT
bracis-28382	97	41	,	,	PUNCT
bracis-28382	97	42	\cdots	\cdot	NOUN
bracis-28382	97	43	,	,	PUNCT
bracis-28382	97	44	\overrightarrow{p}_{n}\}\	\overrightarrow{p}_{n}\}\	PROPN
bracis-28382	97	45	)	)	PUNCT
bracis-28382	97	46	,	,	PUNCT
bracis-28382	97	47	for	for	ADP
bracis-28382	97	48	\(n	\(n	NOUN
bracis-28382	97	49	=	=	SYM
bracis-28382	97	50	7\	7\	PROPN
bracis-28382	97	51	)	)	PUNCT
bracis-28382	97	52	.	.	PUNCT
bracis-28382	98	1	the	the	DET
bracis-28382	98	2	cnns	cnns	PROPN
bracis-28382	98	3	were	be	AUX
bracis-28382	98	4	densenet121	densenet121	PROPN
bracis-28382	98	5	,	,	PUNCT
bracis-28382	98	6	densenet161	densenet161	PROPN
bracis-28382	98	7	,	,	PUNCT
bracis-28382	98	8	densenet201	densenet201	PROPN
bracis-28382	98	9	,	,	PUNCT
bracis-28382	98	10	efficientnet_b0	efficientnet_b0	NOUN
bracis-28382	98	11	,	,	PUNCT
bracis-28382	98	12	mobilenetv2	mobilenetv2	PROPN
bracis-28382	98	13	,	,	PUNCT
bracis-28382	98	14	resnet152	resnet152	PROPN
bracis-28382	98	15	e	e	PROPN
bracis-28382	98	16	vgg16	vgg16	PROPN
bracis-28382	98	17	.	.	PUNCT
bracis-28382	99	1	each	each	DET
bracis-28382	99	2	model	model	NOUN
bracis-28382	99	3	was	be	AUX
bracis-28382	99	4	trained	train	VERB
bracis-28382	99	5	adopting	adopt	VERB
bracis-28382	99	6	the	the	DET
bracis-28382	99	7	following	follow	VERB
bracis-28382	99	8	values	value	NOUN
bracis-28382	99	9	for	for	ADP
bracis-28382	99	10	\(\eta	\(\eta	NOUN
bracis-28382	99	11	=	=	SYM
bracis-28382	99	12	\{0.0001,\	\{0.0001,\	NOUN
bracis-28382	99	13	)	)	PUNCT
bracis-28382	99	14	0.0003	0.0003	NUM
bracis-28382	99	15	,	,	PUNCT
bracis-28382	99	16	  	  	SPACE
bracis-28382	99	17	0.0005	0.0005	NUM
bracis-28382	99	18	,	,	PUNCT
bracis-28382	99	19	  	  	SPACE
bracis-28382	99	20	0.001	0.001	NUM
bracis-28382	99	21	,	,	PUNCT
bracis-28382	99	22	  	  	SPACE
bracis-28382	99	23	0.003	0.003	NUM
bracis-28382	99	24	,	,	PUNCT
bracis-28382	99	25	  	  	SPACE
bracis-28382	99	26	\(0.005\}\	\(0.005\}\	NOUN
bracis-28382	99	27	)	)	PUNCT
bracis-28382	99	28	,	,	PUNCT
bracis-28382	99	29	\(e	\(e	NOUN
bracis-28382	99	30	=	=	SYM
bracis-28382	99	31	50\	50\	NUM
bracis-28382	99	32	)	)	PUNCT
bracis-28382	99	33	and	and	CCONJ
bracis-28382	99	34	optimize	optimize	NOUN
bracis-28382	99	35	sgd	sgd	PROPN
bracis-28382	99	36	,	,	PUNCT
bracis-28382	99	37	as	as	SCONJ
bracis-28382	99	38	shown	show	VERB
bracis-28382	99	39	in	in	ADP
bracis-28382	99	40	fig	fig	NOUN
bracis-28382	99	41	.	.	PUNCT
bracis-28382	99	42	 	 	SPACE
bracis-28382	100	1	4	4	NUM
bracis-28382	100	2	.	.	PUNCT
bracis-28382	100	3	after	after	ADP
bracis-28382	100	4	training	training	NOUN
bracis-28382	100	5	,	,	PUNCT
bracis-28382	100	6	each	each	DET
bracis-28382	100	7	model	model	NOUN
bracis-28382	100	8	was	be	AUX
bracis-28382	100	9	tested	test	VERB
bracis-28382	100	10	and	and	CCONJ
bracis-28382	100	11	the	the	DET
bracis-28382	100	12	responses	response	NOUN
bracis-28382	100	13	were	be	AUX
bracis-28382	100	14	fused	fuse	VERB
bracis-28382	100	15	.	.	PUNCT
bracis-28382	101	1	each	each	DET
bracis-28382	101	2	network	network	NOUN
bracis-28382	101	3	could	could	AUX
bracis-28382	101	4	participate	participate	VERB
bracis-28382	101	5	or	or	CCONJ
bracis-28382	101	6	not	not	PART
bracis-28382	101	7	in	in	ADP
bracis-28382	101	8	the	the	DET
bracis-28382	101	9	fusion	fusion	NOUN
bracis-28382	101	10	.	.	PUNCT
bracis-28382	102	1	fusions	fusion	NOUN
bracis-28382	102	2	occur	occur	VERB
bracis-28382	102	3	between	between	ADP
bracis-28382	102	4	trained	train	VERB
bracis-28382	102	5	models	model	NOUN
bracis-28382	102	6	with	with	ADP
bracis-28382	102	7	the	the	DET
bracis-28382	102	8	same	same	ADJ
bracis-28382	102	9	learning	learning	NOUN
bracis-28382	102	10	rate	rate	NOUN
bracis-28382	102	11	,	,	PUNCT
bracis-28382	102	12	the	the	DET
bracis-28382	102	13	total	total	NOUN
bracis-28382	102	14	of	of	ADP
bracis-28382	102	15	fusions	fusion	NOUN
bracis-28382	102	16	were	be	AUX
bracis-28382	102	17	\(2^{n	\(2^{n	ADJ
bracis-28382	102	18	}	}	PUNCT
bracis-28382	102	19	\times	\times	ADP
bracis-28382	102	20	6\	6\	NOUN
bracis-28382	102	21	)	)	PUNCT
bracis-28382	102	22	.	.	PUNCT
bracis-28382	103	1	fig	fig	NOUN
bracis-28382	103	2	.	.	PUNCT
bracis-28382	104	1	4	4	X
bracis-28382	104	2	.	.	X
bracis-28382	105	1	our	our	PRON
bracis-28382	105	2	proposal	proposal	NOUN
bracis-28382	105	3	for	for	ADP
bracis-28382	105	4	ensemble	ensemble	ADJ
bracis-28382	105	5	architecture	architecture	NOUN
bracis-28382	105	6	for	for	ADP
bracis-28382	105	7	training	training	NOUN
bracis-28382	105	8	and	and	CCONJ
bracis-28382	105	9	fusion	fusion	NOUN
bracis-28382	105	10	process	process	NOUN
bracis-28382	105	11	.	.	PUNCT
bracis-28382	106	1	full	full	ADJ
bracis-28382	106	2	size	size	NOUN
bracis-28382	106	3	image	image	NOUN
bracis-28382	106	4	for	for	ADP
bracis-28382	106	5	this	this	DET
bracis-28382	106	6	proposal	proposal	NOUN
bracis-28382	106	7	,	,	PUNCT
bracis-28382	106	8	two	two	NUM
bracis-28382	106	9	fusion	fusion	NOUN
bracis-28382	106	10	alternatives	alternative	NOUN
bracis-28382	106	11	were	be	AUX
bracis-28382	106	12	analyzed	analyze	VERB
bracis-28382	106	13	,	,	PUNCT
bracis-28382	106	14	by	by	ADP
bracis-28382	106	15	average	average	ADJ
bracis-28382	106	16	and	and	CCONJ
bracis-28382	106	17	by	by	ADP
bracis-28382	106	18	voting	vote	VERB
bracis-28382	106	19	.	.	PUNCT
bracis-28382	107	1	in	in	ADP
bracis-28382	107	2	average	average	ADJ
bracis-28382	107	3	fusion	fusion	NOUN
bracis-28382	107	4	,	,	PUNCT
bracis-28382	107	5	each	each	DET
bracis-28382	107	6	trained	train	VERB
bracis-28382	107	7	model	model	NOUN
bracis-28382	107	8	,	,	PUNCT
bracis-28382	107	9	\(m_{i}\	\(m_{i}\	PROPN
bracis-28382	107	10	)	)	PUNCT
bracis-28382	107	11	,	,	PUNCT
bracis-28382	107	12	generates	generate	VERB
bracis-28382	107	13	an	an	DET
bracis-28382	107	14	output	output	NOUN
bracis-28382	107	15	\(\overrightarrow{p}_{i}\	\(\overrightarrow{p}_{i}\	NOUN
bracis-28382	107	16	)	)	PUNCT
bracis-28382	107	17	and	and	CCONJ
bracis-28382	107	18	the	the	DET
bracis-28382	107	19	fusion	fusion	NOUN
bracis-28382	107	20	is	be	AUX
bracis-28382	107	21	given	give	VERB
bracis-28382	107	22	by	by	ADP
bracis-28382	107	23	\(\overrightarrow{p}_{\tau	\(\overrightarrow{p}_{\tau	PROPN
bracis-28382	107	24	}	}	PUNCT
bracis-28382	107	25	=	=	PUNCT
bracis-28382	107	26	\frac{1}{n}\sum	\frac{1}{n}\sum	NOUN
bracis-28382	107	27	_	_	PRON
bracis-28382	107	28	{	{	PUNCT
bracis-28382	107	29	i=1}^{n	i=1}^{n	ADJ
bracis-28382	107	30	}	}	PUNCT
bracis-28382	107	31	\overrightarrow{p}_{i}\	\overrightarrow{p}_{i}\	PROPN
bracis-28382	107	32	)	)	PUNCT
bracis-28382	107	33	,	,	PUNCT
bracis-28382	107	34	where	where	SCONJ
bracis-28382	107	35	n	n	PRON
bracis-28382	107	36	is	be	AUX
bracis-28382	107	37	the	the	DET
bracis-28382	107	38	number	number	NOUN
bracis-28382	107	39	of	of	ADP
bracis-28382	107	40	models	model	NOUN
bracis-28382	107	41	of	of	ADP
bracis-28382	107	42	cnns	cnn	NOUN
bracis-28382	107	43	and	and	CCONJ
bracis-28382	107	44	\(\overrightarrow{p}_{\tau	\(\overrightarrow{p}_{\tau	PROPN
bracis-28382	107	45	}	}	PUNCT
bracis-28382	107	46	\	\	NOUN
bracis-28382	107	47	)	)	PUNCT
bracis-28382	107	48	is	be	AUX
bracis-28382	107	49	the	the	DET
bracis-28382	107	50	average	average	ADJ
bracis-28382	107	51	output	output	NOUN
bracis-28382	107	52	of	of	ADP
bracis-28382	107	53	the	the	DET
bracis-28382	107	54	models	model	NOUN
bracis-28382	107	55	that	that	PRON
bracis-28382	107	56	make	make	VERB
bracis-28382	107	57	up	up	ADP
bracis-28382	107	58	the	the	DET
bracis-28382	107	59	fusion	fusion	NOUN
bracis-28382	107	60	,	,	PUNCT
bracis-28382	107	61	according	accord	VERB
bracis-28382	107	62	to	to	ADP
bracis-28382	107	63	fig	fig	NOUN
bracis-28382	107	64	.	.	PUNCT
bracis-28382	107	65	 	 	SPACE
bracis-28382	107	66	5(a	5(a	NUM
bracis-28382	107	67	)	)	PUNCT
bracis-28382	107	68	.	.	PUNCT
bracis-28382	108	1	fig	fig	NOUN
bracis-28382	108	2	.	.	PUNCT
bracis-28382	109	1	5	5	NUM
bracis-28382	109	2	.	.	X
bracis-28382	109	3	different	different	ADJ
bracis-28382	109	4	fusion	fusion	NOUN
bracis-28382	109	5	schemes	scheme	NOUN
bracis-28382	109	6	for	for	ADP
bracis-28382	109	7	combining	combine	VERB
bracis-28382	109	8	models	model	NOUN
bracis-28382	109	9	.	.	PUNCT
bracis-28382	110	1	full	full	ADJ
bracis-28382	110	2	size	size	NOUN
bracis-28382	110	3	image	image	NOUN
bracis-28382	110	4	in	in	ADP
bracis-28382	110	5	fusion	fusion	NOUN
bracis-28382	110	6	by	by	ADP
bracis-28382	110	7	voting	voting	NOUN
bracis-28382	110	8	,	,	PUNCT
bracis-28382	110	9	considering	consider	VERB
bracis-28382	110	10	the	the	DET
bracis-28382	110	11	values	value	NOUN
bracis-28382	110	12	in	in	ADP
bracis-28382	110	13	fig	fig	NOUN
bracis-28382	110	14	.	.	PUNCT
bracis-28382	110	15	 	 	SPACE
bracis-28382	110	16	5(a	5(a	NUM
bracis-28382	110	17	)	)	PUNCT
bracis-28382	110	18	,	,	PUNCT
bracis-28382	110	19	each	each	DET
bracis-28382	110	20	network	network	NOUN
bracis-28382	110	21	that	that	PRON
bracis-28382	110	22	makes	make	VERB
bracis-28382	110	23	up	up	ADP
bracis-28382	110	24	the	the	DET
bracis-28382	110	25	fusion	fusion	NOUN
bracis-28382	110	26	votes	vote	NOUN
bracis-28382	110	27	in	in	ADP
bracis-28382	110	28	the	the	DET
bracis-28382	110	29	class	class	NOUN
bracis-28382	110	30	that	that	PRON
bracis-28382	110	31	receives	receive	VERB
bracis-28382	110	32	the	the	DET
bracis-28382	110	33	highest	high	ADJ
bracis-28382	110	34	percentage	percentage	NOUN
bracis-28382	110	35	of	of	ADP
bracis-28382	110	36	probability	probability	NOUN
bracis-28382	110	37	,	,	PUNCT
bracis-28382	110	38	as	as	SCONJ
bracis-28382	110	39	shown	show	VERB
bracis-28382	110	40	in	in	ADP
bracis-28382	110	41	fig	fig	NOUN
bracis-28382	110	42	.	.	PUNCT
bracis-28382	110	43	 	 	SPACE
bracis-28382	110	44	5(b	5(b	NUM
bracis-28382	110	45	)	)	PUNCT
bracis-28382	110	46	.	.	PUNCT
bracis-28382	111	1	in	in	ADP
bracis-28382	111	2	case	case	NOUN
bracis-28382	111	3	of	of	ADP
bracis-28382	111	4	a	a	DET
bracis-28382	111	5	tie	tie	NOUN
bracis-28382	111	6	,	,	PUNCT
bracis-28382	111	7	the	the	DET
bracis-28382	111	8	first	first	ADJ
bracis-28382	111	9	tiebreaker	tiebreaker	NOUN
bracis-28382	111	10	considered	consider	VERB
bracis-28382	111	11	the	the	DET
bracis-28382	111	12	number	number	NOUN
bracis-28382	111	13	of	of	ADP
bracis-28382	111	14	times	time	NOUN
bracis-28382	111	15	the	the	DET
bracis-28382	111	16	class	class	NOUN
bracis-28382	111	17	was	be	AUX
bracis-28382	111	18	in	in	ADP
bracis-28382	111	19	first	first	ADJ
bracis-28382	111	20	and	and	CCONJ
bracis-28382	111	21	second	second	ADJ
bracis-28382	111	22	place	place	NOUN
bracis-28382	111	23	in	in	ADP
bracis-28382	111	24	the	the	DET
bracis-28382	111	25	voting	voting	NOUN
bracis-28382	111	26	.	.	PUNCT
bracis-28382	112	1	if	if	SCONJ
bracis-28382	112	2	the	the	DET
bracis-28382	112	3	tie	tie	NOUN
bracis-28382	112	4	remains	remain	VERB
bracis-28382	112	5	,	,	PUNCT
bracis-28382	112	6	among	among	ADP
bracis-28382	112	7	the	the	DET
bracis-28382	112	8	classes	class	NOUN
bracis-28382	112	9	that	that	PRON
bracis-28382	112	10	met	meet	VERB
bracis-28382	112	11	the	the	DET
bracis-28382	112	12	first	first	ADJ
bracis-28382	112	13	tiebreaker	tiebreaker	NOUN
bracis-28382	112	14	criterion	criterion	NOUN
bracis-28382	112	15	,	,	PUNCT
bracis-28382	112	16	the	the	DET
bracis-28382	112	17	one	one	NOUN
bracis-28382	112	18	with	with	ADP
bracis-28382	112	19	the	the	DET
bracis-28382	112	20	highest	high	ADJ
bracis-28382	112	21	percentage	percentage	NOUN
bracis-28382	112	22	of	of	ADP
bracis-28382	112	23	probability	probability	NOUN
bracis-28382	112	24	is	be	AUX
bracis-28382	112	25	chosen	choose	VERB
bracis-28382	112	26	.	.	PUNCT
bracis-28382	113	1	in	in	ADP
bracis-28382	113	2	our	our	PRON
bracis-28382	113	3	second	second	ADJ
bracis-28382	113	4	proposal	proposal	NOUN
bracis-28382	113	5	,	,	PUNCT
bracis-28382	113	6	we	we	PRON
bracis-28382	113	7	created	create	VERB
bracis-28382	113	8	models	model	NOUN
bracis-28382	113	9	with	with	ADP
bracis-28382	113	10	different	different	ADJ
bracis-28382	113	11	fusions	fusion	NOUN
bracis-28382	113	12	of	of	ADP
bracis-28382	113	13	pre	pre	ADJ
bracis-28382	113	14	-	-	ADJ
bracis-28382	113	15	trained	train	VERB
bracis-28382	113	16	cnns	cnn	NOUN
bracis-28382	113	17	,	,	PUNCT
bracis-28382	113	18	so	so	ADV
bracis-28382	113	19	\(m^{\nu	\(m^{\nu	ADJ
bracis-28382	113	20	}	}	PUNCT
bracis-28382	113	21	\	\	NOUN
bracis-28382	113	22	)	)	PUNCT
bracis-28382	113	23	was	be	AUX
bracis-28382	113	24	the	the	DET
bracis-28382	113	25	composition	composition	NOUN
bracis-28382	113	26	of	of	ADP
bracis-28382	113	27	best	good	ADJ
bracis-28382	113	28	models	model	NOUN
bracis-28382	113	29	\(\{m_{1}^{b}\	\(\{m_{1}^{b}\	NOUN
bracis-28382	113	30	)	)	PUNCT
bracis-28382	113	31	,	,	PUNCT
bracis-28382	113	32	\(m_{2}^{b}\	\(m_{2}^{b}\	NOUN
bracis-28382	113	33	)	)	PUNCT
bracis-28382	113	34	,	,	PUNCT
bracis-28382	113	35	\(\cdots	\(\cdot	NOUN
bracis-28382	113	36	,	,	PUNCT
bracis-28382	113	37	m_{n}^{b}\}\	m_{n}^{b}\}\	NOUN
bracis-28382	113	38	)	)	PUNCT
bracis-28382	113	39	,	,	PUNCT
bracis-28382	113	40	for	for	ADP
bracis-28382	113	41	different	different	ADJ
bracis-28382	113	42	values	value	NOUN
bracis-28382	113	43	of	of	ADP
bracis-28382	113	44	\(2	\(2	NUM
bracis-28382	113	45	\le	\le	NOUN
bracis-28382	113	46	n	n	CCONJ
bracis-28382	113	47	\le	\le	PROPN
bracis-28382	113	48	7\	7\	NUM
bracis-28382	113	49	)	)	PUNCT
bracis-28382	113	50	.	.	PUNCT
bracis-28382	114	1	the	the	DET
bracis-28382	114	2	results	result	NOUN
bracis-28382	114	3	of	of	ADP
bracis-28382	114	4	the	the	DET
bracis-28382	114	5	proposals	proposal	NOUN
bracis-28382	114	6	are	be	AUX
bracis-28382	114	7	presented	present	VERB
bracis-28382	114	8	in	in	ADP
bracis-28382	114	9	sect	sect	NOUN
bracis-28382	114	10	.	.	PUNCT
bracis-28382	114	11	 	 	SPACE
bracis-28382	115	1	4	4	NUM
bracis-28382	115	2	.	.	PUNCT
bracis-28382	116	1	in	in	ADP
bracis-28382	116	2	the	the	DET
bracis-28382	116	3	first	first	ADJ
bracis-28382	116	4	proposal	proposal	NOUN
bracis-28382	116	5	,	,	PUNCT
bracis-28382	116	6	with	with	ADP
bracis-28382	116	7	trained	train	VERB
bracis-28382	116	8	models	model	NOUN
bracis-28382	116	9	,	,	PUNCT
bracis-28382	116	10	it	it	PRON
bracis-28382	116	11	is	be	AUX
bracis-28382	116	12	possible	possible	ADJ
bracis-28382	116	13	to	to	PART
bracis-28382	116	14	perform	perform	VERB
bracis-28382	116	15	fusions	fusion	NOUN
bracis-28382	116	16	between	between	ADP
bracis-28382	116	17	models	model	NOUN
bracis-28382	116	18	without	without	ADP
bracis-28382	116	19	having	have	VERB
bracis-28382	116	20	to	to	PART
bracis-28382	116	21	train	train	VERB
bracis-28382	116	22	them	they	PRON
bracis-28382	116	23	again	again	ADV
bracis-28382	116	24	.	.	PUNCT
bracis-28382	117	1	in	in	ADP
bracis-28382	117	2	the	the	DET
bracis-28382	117	3	second	second	ADJ
bracis-28382	117	4	proposal	proposal	NOUN
bracis-28382	117	5	,	,	PUNCT
bracis-28382	117	6	each	each	DET
bracis-28382	117	7	new	new	ADJ
bracis-28382	117	8	fusion	fusion	NOUN
bracis-28382	117	9	generates	generate	VERB
bracis-28382	117	10	a	a	DET
bracis-28382	117	11	new	new	ADJ
bracis-28382	117	12	model	model	NOUN
bracis-28382	117	13	that	that	PRON
bracis-28382	117	14	needs	need	VERB
bracis-28382	117	15	to	to	PART
bracis-28382	117	16	be	be	AUX
bracis-28382	117	17	trained	train	VERB
bracis-28382	117	18	.	.	PUNCT
bracis-28382	118	1	3.2	3.2	NUM
bracis-28382	118	2	evaluation	evaluation	NOUN
bracis-28382	118	3	methodology	methodology	NOUN
bracis-28382	118	4	our	our	PRON
bracis-28382	118	5	approach	approach	NOUN
bracis-28382	118	6	involved	involve	VERB
bracis-28382	118	7	the	the	DET
bracis-28382	118	8	utilization	utilization	NOUN
bracis-28382	118	9	of	of	ADP
bracis-28382	118	10	four	four	NUM
bracis-28382	118	11	metrics	metric	NOUN
bracis-28382	118	12	precision	precision	NOUN
bracis-28382	118	13	,	,	PUNCT
bracis-28382	118	14	recall	recall	NOUN
bracis-28382	118	15	,	,	PUNCT
bracis-28382	118	16	f1	f1	NOUN
bracis-28382	118	17	-	-	PUNCT
bracis-28382	118	18	score	score	NOUN
bracis-28382	118	19	,	,	PUNCT
bracis-28382	118	20	and	and	CCONJ
bracis-28382	118	21	matthews	matthews	PROPN
bracis-28382	118	22	correlation	correlation	NOUN
bracis-28382	118	23	coefficient	coefficient	NOUN
bracis-28382	118	24	(	(	PUNCT
bracis-28382	118	25	mcc	mcc	NOUN
bracis-28382	118	26	)	)	PUNCT
bracis-28382	118	27	–	–	PUNCT
bracis-28382	118	28	to	to	PART
bracis-28382	118	29	evaluate	evaluate	VERB
bracis-28382	118	30	the	the	DET
bracis-28382	118	31	performance	performance	NOUN
bracis-28382	118	32	of	of	ADP
bracis-28382	118	33	our	our	PRON
bracis-28382	118	34	model	model	NOUN
bracis-28382	118	35	and	and	CCONJ
bracis-28382	118	36	gain	gain	VERB
bracis-28382	118	37	valuable	valuable	ADJ
bracis-28382	118	38	insights	insight	NOUN
bracis-28382	118	39	.	.	PUNCT
bracis-28382	119	1	additionally	additionally	ADV
bracis-28382	119	2	,	,	PUNCT
bracis-28382	119	3	we	we	PRON
bracis-28382	119	4	employed	employ	VERB
bracis-28382	119	5	both	both	DET
bracis-28382	119	6	macro	macro	ADJ
bracis-28382	119	7	and	and	CCONJ
bracis-28382	119	8	micro	micro	ADJ
bracis-28382	119	9	averages	average	NOUN
bracis-28382	119	10	to	to	PART
bracis-28382	119	11	further	far	ADV
bracis-28382	119	12	analyze	analyze	VERB
bracis-28382	119	13	the	the	DET
bracis-28382	119	14	overall	overall	ADJ
bracis-28382	119	15	performance	performance	NOUN
bracis-28382	119	16	of	of	ADP
bracis-28382	119	17	our	our	PRON
bracis-28382	119	18	model	model	NOUN
bracis-28382	119	19	[	[	X
bracis-28382	119	20	15	15	NUM
bracis-28382	119	21	]	]	PUNCT
bracis-28382	119	22	.	.	PUNCT
bracis-28382	120	1	in	in	ADP
bracis-28382	120	2	classification	classification	NOUN
bracis-28382	120	3	tasks	task	NOUN
bracis-28382	120	4	,	,	PUNCT
bracis-28382	120	5	true	true	ADJ
bracis-28382	120	6	positive	positive	ADJ
bracis-28382	120	7	(	(	PUNCT
bracis-28382	120	8	tp	tp	NOUN
bracis-28382	120	9	)	)	PUNCT
bracis-28382	120	10	,	,	PUNCT
bracis-28382	120	11	true	true	ADJ
bracis-28382	120	12	negative	negative	ADJ
bracis-28382	120	13	(	(	PUNCT
bracis-28382	120	14	tn	tn	NOUN
bracis-28382	120	15	)	)	PUNCT
bracis-28382	120	16	,	,	PUNCT
bracis-28382	120	17	false	false	ADJ
bracis-28382	120	18	positive	positive	ADJ
bracis-28382	120	19	(	(	PUNCT
bracis-28382	120	20	fp	fp	NOUN
bracis-28382	120	21	)	)	PUNCT
bracis-28382	120	22	,	,	PUNCT
bracis-28382	120	23	and	and	CCONJ
bracis-28382	120	24	false	false	ADJ
bracis-28382	120	25	negative	negative	ADJ
bracis-28382	120	26	(	(	PUNCT
bracis-28382	120	27	fn	fn	NOUN
bracis-28382	120	28	)	)	PUNCT
bracis-28382	120	29	are	be	AUX
bracis-28382	120	30	commonly	commonly	ADV
bracis-28382	120	31	used	use	VERB
bracis-28382	120	32	terms	term	NOUN
bracis-28382	120	33	that	that	PRON
bracis-28382	120	34	represent	represent	VERB
bracis-28382	120	35	the	the	DET
bracis-28382	120	36	outcomes	outcome	NOUN
bracis-28382	120	37	of	of	ADP
bracis-28382	120	38	the	the	DET
bracis-28382	120	39	predictions	prediction	NOUN
bracis-28382	120	40	made	make	VERB
bracis-28382	120	41	by	by	ADP
bracis-28382	120	42	a	a	DET
bracis-28382	120	43	model	model	NOUN
bracis-28382	120	44	.	.	PUNCT
bracis-28382	121	1	tp	tp	NOUN
bracis-28382	121	2	refers	refer	VERB
bracis-28382	121	3	to	to	ADP
bracis-28382	121	4	correct	correct	ADJ
bracis-28382	121	5	predictions	prediction	NOUN
bracis-28382	121	6	of	of	ADP
bracis-28382	121	7	the	the	DET
bracis-28382	121	8	positive	positive	ADJ
bracis-28382	121	9	class	class	NOUN
bracis-28382	121	10	,	,	PUNCT
bracis-28382	121	11	where	where	SCONJ
bracis-28382	121	12	the	the	DET
bracis-28382	121	13	model	model	NOUN
bracis-28382	121	14	identifies	identify	VERB
bracis-28382	121	15	positive	positive	ADJ
bracis-28382	121	16	instances	instance	NOUN
bracis-28382	121	17	correctly	correctly	ADV
bracis-28382	121	18	.	.	PUNCT
bracis-28382	122	1	tn	tn	NOUN
bracis-28382	122	2	represents	represent	VERB
bracis-28382	122	3	correct	correct	ADJ
bracis-28382	122	4	predictions	prediction	NOUN
bracis-28382	122	5	of	of	ADP
bracis-28382	122	6	the	the	DET
bracis-28382	122	7	negative	negative	ADJ
bracis-28382	122	8	class	class	NOUN
bracis-28382	122	9	,	,	PUNCT
bracis-28382	122	10	where	where	SCONJ
bracis-28382	122	11	the	the	DET
bracis-28382	122	12	model	model	NOUN
bracis-28382	122	13	identifies	identify	VERB
bracis-28382	122	14	negative	negative	ADJ
bracis-28382	122	15	instances	instance	NOUN
bracis-28382	122	16	correctly	correctly	ADV
bracis-28382	122	17	.	.	PUNCT
bracis-28382	123	1	fp	fp	PROPN
bracis-28382	123	2	refers	refer	VERB
bracis-28382	123	3	to	to	ADP
bracis-28382	123	4	incorrect	incorrect	ADJ
bracis-28382	123	5	predictions	prediction	NOUN
bracis-28382	123	6	of	of	ADP
bracis-28382	123	7	the	the	DET
bracis-28382	123	8	positive	positive	ADJ
bracis-28382	123	9	class	class	NOUN
bracis-28382	123	10	,	,	PUNCT
bracis-28382	123	11	where	where	SCONJ
bracis-28382	123	12	the	the	DET
bracis-28382	123	13	model	model	NOUN
bracis-28382	123	14	identifies	identify	VERB
bracis-28382	123	15	negative	negative	ADJ
bracis-28382	123	16	instances	instance	NOUN
bracis-28382	123	17	as	as	ADP
bracis-28382	123	18	positive	positive	ADJ
bracis-28382	123	19	.	.	PUNCT
bracis-28382	124	1	fn	fn	NOUN
bracis-28382	124	2	represents	represent	VERB
bracis-28382	124	3	incorrect	incorrect	ADJ
bracis-28382	124	4	predictions	prediction	NOUN
bracis-28382	124	5	of	of	ADP
bracis-28382	124	6	the	the	DET
bracis-28382	124	7	negative	negative	ADJ
bracis-28382	124	8	class	class	NOUN
bracis-28382	124	9	,	,	PUNCT
bracis-28382	124	10	where	where	SCONJ
bracis-28382	124	11	the	the	DET
bracis-28382	124	12	model	model	NOUN
bracis-28382	124	13	identifies	identify	VERB
bracis-28382	124	14	positive	positive	ADJ
bracis-28382	124	15	instances	instance	NOUN
bracis-28382	124	16	as	as	ADP
bracis-28382	124	17	negative	negative	ADJ
bracis-28382	124	18	 	 	SPACE
bracis-28382	125	1	[	[	X
bracis-28382	125	2	15	15	NUM
bracis-28382	125	3	]	]	PUNCT
bracis-28382	125	4	.	.	PUNCT
bracis-28382	126	1	matthews	matthews	PROPN
bracis-28382	126	2	correlation	correlation	NOUN
bracis-28382	126	3	coefficient	coefficient	NOUN
bracis-28382	126	4	,	,	PUNCT
bracis-28382	126	5	which	which	PRON
bracis-28382	126	6	is	be	AUX
bracis-28382	126	7	a	a	DET
bracis-28382	126	8	measure	measure	NOUN
bracis-28382	126	9	of	of	ADP
bracis-28382	126	10	the	the	DET
bracis-28382	126	11	quality	quality	NOUN
bracis-28382	126	12	of	of	ADP
bracis-28382	126	13	binary	binary	NOUN
bracis-28382	126	14	(	(	PUNCT
bracis-28382	126	15	two	two	NUM
bracis-28382	126	16	-	-	PUNCT
bracis-28382	126	17	class	class	NOUN
bracis-28382	126	18	)	)	PUNCT
bracis-28382	126	19	classification	classification	NOUN
bracis-28382	126	20	models	model	NOUN
bracis-28382	126	21	.	.	PUNCT
bracis-28382	127	1	it	it	PRON
bracis-28382	127	2	takes	take	VERB
bracis-28382	127	3	into	into	ADP
bracis-28382	127	4	account	account	NOUN
bracis-28382	127	5	tp	tp	PROPN
bracis-28382	127	6	,	,	PUNCT
bracis-28382	127	7	tn	tn	PROPN
bracis-28382	127	8	,	,	PUNCT
bracis-28382	127	9	fp	fp	PROPN
bracis-28382	127	10	and	and	CCONJ
bracis-28382	127	11	fn	fn	NOUN
bracis-28382	127	12	to	to	PART
bracis-28382	127	13	provide	provide	VERB
bracis-28382	127	14	a	a	DET
bracis-28382	127	15	balanced	balanced	ADJ
bracis-28382	127	16	assessment	assessment	NOUN
bracis-28382	127	17	of	of	ADP
bracis-28382	127	18	the	the	DET
bracis-28382	127	19	model	model	NOUN
bracis-28382	127	20	’s	’s	PART
bracis-28382	127	21	performance	performance	NOUN
bracis-28382	127	22	,	,	PUNCT
bracis-28382	127	23	as	as	SCONJ
bracis-28382	127	24	shown	show	VERB
bracis-28382	127	25	in	in	ADP
bracis-28382	127	26	eq	eq	PROPN
bracis-28382	127	27	.	.	PUNCT
bracis-28382	127	28	 	 	SPACE
bracis-28382	127	29	3	3	X
bracis-28382	127	30	.	.	PUNCT
bracis-28382	128	1	the	the	DET
bracis-28382	128	2	mcc	mcc	PROPN
bracis-28382	128	3	ranges	range	VERB
bracis-28382	128	4	from	from	ADP
bracis-28382	128	5	\([-1,+1]\	\([-1,+1]\	PROPN
bracis-28382	128	6	)	)	PUNCT
bracis-28382	128	7	,	,	PUNCT
bracis-28382	128	8	where	where	SCONJ
bracis-28382	128	9	a	a	DET
bracis-28382	128	10	value	value	NOUN
bracis-28382	128	11	of	of	ADP
bracis-28382	128	12	\((+1)\	\((+1)\	NUM
bracis-28382	128	13	)	)	PUNCT
bracis-28382	128	14	indicates	indicate	VERB
bracis-28382	128	15	a	a	DET
bracis-28382	128	16	perfect	perfect	ADJ
bracis-28382	128	17	classification	classification	NOUN
bracis-28382	128	18	,	,	PUNCT
bracis-28382	128	19	(	(	PUNCT
bracis-28382	128	20	0	0	NUM
bracis-28382	128	21	)	)	PUNCT
bracis-28382	128	22	indicates	indicate	VERB
bracis-28382	128	23	a	a	DET
bracis-28382	128	24	random	random	ADJ
bracis-28382	128	25	classification	classification	NOUN
bracis-28382	128	26	,	,	PUNCT
bracis-28382	128	27	and	and	CCONJ
bracis-28382	128	28	\((-1)\	\((-1)\	X
bracis-28382	128	29	)	)	PUNCT
bracis-28382	128	30	indicates	indicate	VERB
bracis-28382	128	31	a	a	DET
bracis-28382	128	32	completely	completely	ADV
bracis-28382	128	33	wrong	wrong	ADJ
bracis-28382	128	34	classification	classification	NOUN
bracis-28382	128	35	.	.	PUNCT
bracis-28382	129	1	mcc	mcc	PROPN
bracis-28382	129	2	values	value	NOUN
bracis-28382	129	3	closer	close	ADV
bracis-28382	129	4	to	to	ADP
bracis-28382	129	5	\((+1)\	\((+1)\	NUM
bracis-28382	129	6	)	)	PUNCT
bracis-28382	129	7	indicate	indicate	VERB
bracis-28382	129	8	better	well	ADJ
bracis-28382	129	9	performance	performance	NOUN
bracis-28382	129	10	of	of	ADP
bracis-28382	129	11	the	the	DET
bracis-28382	129	12	classification	classification	NOUN
bracis-28382	129	13	model	model	NOUN
bracis-28382	129	14	 	 	SPACE
bracis-28382	130	1	[	[	X
bracis-28382	130	2	3	3	NUM
bracis-28382	130	3	]	]	PUNCT
bracis-28382	130	4	.	.	PUNCT
bracis-28382	131	1	$	$	SYM
bracis-28382	131	2	$	$	SYM
bracis-28382	131	3	\begin{aligned	\begin{aligne	VERB
bracis-28382	131	4	}	}	PUNCT
bracis-28382	131	5	mcc	mcc	NOUN
bracis-28382	131	6	=	=	PROPN
bracis-28382	131	7	\frac{tp	\frac{tp	NOUN
bracis-28382	131	8	\times	\times	ADP
bracis-28382	131	9	tn	tn	NOUN
bracis-28382	131	10	fp	fp	NOUN
bracis-28382	131	11	\times	\times	ADP
bracis-28382	131	12	fn}{\sqrt{(tp+fp)(tp+fn)(tn+fp)(tn+fn	fn}{\sqrt{(tp+fp)(tp+fn)(tn+fp)(tn+fn	NOUN
bracis-28382	131	13	)	)	PUNCT
bracis-28382	131	14	}	}	PUNCT
bracis-28382	131	15	}	}	PUNCT
bracis-28382	131	16	\end{aligned}$$	\end{aligned}$$	X
bracis-28382	131	17	(	(	PUNCT
bracis-28382	131	18	3	3	NUM
bracis-28382	131	19	)	)	PUNCT
bracis-28382	131	20	micro	micro	NOUN
bracis-28382	131	21	-	-	NOUN
bracis-28382	131	22	average	average	ADJ
bracis-28382	131	23	is	be	AUX
bracis-28382	131	24	a	a	DET
bracis-28382	131	25	method	method	NOUN
bracis-28382	131	26	of	of	ADP
bracis-28382	131	27	aggregating	aggregate	VERB
bracis-28382	131	28	the	the	DET
bracis-28382	131	29	performance	performance	NOUN
bracis-28382	131	30	metrics	metric	NOUN
bracis-28382	131	31	across	across	ADP
bracis-28382	131	32	all	all	DET
bracis-28382	131	33	classes	class	NOUN
bracis-28382	131	34	in	in	ADP
bracis-28382	131	35	a	a	DET
bracis-28382	131	36	multi	multi	ADJ
bracis-28382	131	37	-	-	ADJ
bracis-28382	131	38	class	class	ADJ
bracis-28382	131	39	classification	classification	NOUN
bracis-28382	131	40	problem	problem	NOUN
bracis-28382	131	41	.	.	PUNCT
bracis-28382	132	1	the	the	DET
bracis-28382	132	2	formulas	formula	NOUN
bracis-28382	132	3	for	for	ADP
bracis-28382	132	4	micro	micro	ADJ
bracis-28382	132	5	-	-	ADJ
bracis-28382	132	6	average	average	ADJ
bracis-28382	132	7	precision	precision	NOUN
bracis-28382	132	8	(	(	PUNCT
bracis-28382	132	9	mip	mip	PROPN
bracis-28382	132	10	)	)	PUNCT
bracis-28382	132	11	(	(	PUNCT
bracis-28382	132	12	eq	eq	NOUN
bracis-28382	132	13	.	.	PUNCT
bracis-28382	132	14	 	 	SPACE
bracis-28382	132	15	4	4	NUM
bracis-28382	132	16	)	)	PUNCT
bracis-28382	132	17	,	,	PUNCT
bracis-28382	132	18	recall	recall	INTJ
bracis-28382	132	19	(	(	PUNCT
bracis-28382	132	20	mir	mir	PROPN
bracis-28382	132	21	)	)	PUNCT
bracis-28382	132	22	(	(	PUNCT
bracis-28382	132	23	eq	eq	NOUN
bracis-28382	132	24	.	.	PUNCT
bracis-28382	132	25	 	 	SPACE
bracis-28382	132	26	5	5	NUM
bracis-28382	132	27	)	)	PUNCT
bracis-28382	132	28	,	,	PUNCT
bracis-28382	132	29	and	and	CCONJ
bracis-28382	132	30	f1	f1	NOUN
bracis-28382	132	31	-	-	PUNCT
bracis-28382	132	32	score	score	NOUN
bracis-28382	132	33	(	(	PUNCT
bracis-28382	132	34	mif1	mif1	NOUN
bracis-28382	132	35	)	)	PUNCT
bracis-28382	132	36	(	(	PUNCT
bracis-28382	132	37	eq	eq	NOUN
bracis-28382	132	38	.	.	PUNCT
bracis-28382	132	39	 	 	SPACE
bracis-28382	132	40	6	6	NUM
bracis-28382	132	41	)	)	PUNCT
bracis-28382	132	42	are	be	AUX
bracis-28382	132	43	as	as	SCONJ
bracis-28382	132	44	follows	follow	VERB
bracis-28382	132	45	 	 	SPACE
bracis-28382	133	1	[	[	X
bracis-28382	133	2	19	19	NUM
bracis-28382	133	3	]	]	NOUN
bracis-28382	133	4	:	:	PUNCT
bracis-28382	133	5	macro	macro	ADJ
bracis-28382	133	6	-	-	NOUN
bracis-28382	133	7	average	average	ADJ
bracis-28382	133	8	,	,	PUNCT
bracis-28382	133	9	on	on	ADP
bracis-28382	133	10	the	the	DET
bracis-28382	133	11	other	other	ADJ
bracis-28382	133	12	hand	hand	NOUN
bracis-28382	133	13	,	,	PUNCT
bracis-28382	133	14	calculates	calculate	VERB
bracis-28382	133	15	the	the	DET
bracis-28382	133	16	performance	performance	NOUN
bracis-28382	133	17	metrics	metric	NOUN
bracis-28382	133	18	for	for	ADP
bracis-28382	133	19	each	each	DET
bracis-28382	133	20	class	class	NOUN
bracis-28382	133	21	individually	individually	ADV
bracis-28382	133	22	and	and	CCONJ
bracis-28382	133	23	then	then	ADV
bracis-28382	133	24	takes	take	VERB
bracis-28382	133	25	the	the	DET
bracis-28382	133	26	average	average	NOUN
bracis-28382	133	27	across	across	ADP
bracis-28382	133	28	all	all	DET
bracis-28382	133	29	classes	class	NOUN
bracis-28382	133	30	.	.	PUNCT
bracis-28382	134	1	the	the	DET
bracis-28382	134	2	formulas	formula	NOUN
bracis-28382	134	3	for	for	ADP
bracis-28382	134	4	macro	macro	ADJ
bracis-28382	134	5	-	-	ADJ
bracis-28382	134	6	average	average	ADJ
bracis-28382	134	7	precision	precision	NOUN
bracis-28382	134	8	(	(	PUNCT
bracis-28382	134	9	map	map	NOUN
bracis-28382	134	10	)	)	PUNCT
bracis-28382	134	11	(	(	PUNCT
bracis-28382	134	12	eq	eq	NOUN
bracis-28382	134	13	.	.	PUNCT
bracis-28382	134	14	 	 	SPACE
bracis-28382	134	15	7	7	NUM
bracis-28382	134	16	)	)	PUNCT
bracis-28382	134	17	,	,	PUNCT
bracis-28382	134	18	recall	recall	NOUN
bracis-28382	134	19	(	(	PUNCT
bracis-28382	134	20	mar	mar	PROPN
bracis-28382	134	21	)	)	PUNCT
bracis-28382	134	22	(	(	PUNCT
bracis-28382	134	23	eq	eq	NOUN
bracis-28382	134	24	.	.	PUNCT
bracis-28382	134	25	 	 	SPACE
bracis-28382	134	26	8)	8)	NUM
bracis-28382	134	27	,	,	PUNCT
bracis-28382	134	28	and	and	CCONJ
bracis-28382	134	29	f1	f1	NOUN
bracis-28382	134	30	-	-	PUNCT
bracis-28382	134	31	score	score	NOUN
bracis-28382	134	32	(	(	PUNCT
bracis-28382	134	33	maf1	maf1	PROPN
bracis-28382	134	34	)	)	PUNCT
bracis-28382	134	35	(	(	PUNCT
bracis-28382	134	36	eq	eq	NOUN
bracis-28382	134	37	.	.	PUNCT
bracis-28382	134	38	 	 	SPACE
bracis-28382	134	39	9	9	NUM
bracis-28382	134	40	)	)	PUNCT
bracis-28382	134	41	are	be	AUX
bracis-28382	134	42	as	as	SCONJ
bracis-28382	134	43	follows	follow	VERB
bracis-28382	134	44	 	 	SPACE
bracis-28382	135	1	[	[	X
bracis-28382	135	2	19	19	NUM
bracis-28382	135	3	]	]	NOUN
bracis-28382	135	4	:	:	PUNCT
bracis-28382	135	5	where	where	SCONJ
bracis-28382	135	6	precision\(_i\	precision\(_i\	NOUN
bracis-28382	135	7	)	)	PUNCT
bracis-28382	135	8	,	,	PUNCT
bracis-28382	135	9	recall\(_i\	recall\(_i\	PROPN
bracis-28382	135	10	)	)	PUNCT
bracis-28382	135	11	,	,	PUNCT
bracis-28382	135	12	and	and	CCONJ
bracis-28382	135	13	f1	f1	NOUN
bracis-28382	135	14	-	-	PUNCT
bracis-28382	135	15	score\(_i\	score\(_i\	NOUN
bracis-28382	135	16	)	)	PUNCT
bracis-28382	135	17	represent	represent	VERB
bracis-28382	135	18	the	the	DET
bracis-28382	135	19	precision	precision	NOUN
bracis-28382	135	20	,	,	PUNCT
bracis-28382	135	21	recall	recall	NOUN
bracis-28382	135	22	,	,	PUNCT
bracis-28382	135	23	and	and	CCONJ
bracis-28382	135	24	f1	f1	NOUN
bracis-28382	135	25	-	-	PUNCT
bracis-28382	135	26	score	score	NOUN
bracis-28382	135	27	of	of	ADP
bracis-28382	135	28	class	class	NOUN
bracis-28382	135	29	i	i	PROPN
bracis-28382	135	30	,	,	PUNCT
bracis-28382	135	31	and	and	CCONJ
bracis-28382	135	32	n	n	PRON
bracis-28382	135	33	is	be	AUX
bracis-28382	135	34	the	the	DET
bracis-28382	135	35	total	total	ADJ
bracis-28382	135	36	number	number	NOUN
bracis-28382	135	37	of	of	ADP
bracis-28382	135	38	classes	class	NOUN
bracis-28382	135	39	.	.	PUNCT
bracis-28382	136	1	by	by	ADP
bracis-28382	136	2	using	use	VERB
bracis-28382	136	3	micro	micro	ADJ
bracis-28382	136	4	and	and	CCONJ
bracis-28382	136	5	macro	macro	ADJ
bracis-28382	136	6	averaging	averaging	NOUN
bracis-28382	136	7	,	,	PUNCT
bracis-28382	136	8	we	we	PRON
bracis-28382	136	9	can	can	AUX
bracis-28382	136	10	gain	gain	VERB
bracis-28382	136	11	insights	insight	NOUN
bracis-28382	136	12	into	into	ADP
bracis-28382	136	13	the	the	DET
bracis-28382	136	14	overall	overall	ADJ
bracis-28382	136	15	performance	performance	NOUN
bracis-28382	136	16	of	of	ADP
bracis-28382	136	17	the	the	DET
bracis-28382	136	18	classification	classification	NOUN
bracis-28382	136	19	model	model	NOUN
bracis-28382	136	20	,	,	PUNCT
bracis-28382	136	21	considering	consider	VERB
bracis-28382	136	22	both	both	CCONJ
bracis-28382	136	23	the	the	DET
bracis-28382	136	24	individual	individual	ADJ
bracis-28382	136	25	class	class	NOUN
bracis-28382	136	26	performance	performance	NOUN
bracis-28382	136	27	and	and	CCONJ
bracis-28382	136	28	the	the	DET
bracis-28382	136	29	overall	overall	ADJ
bracis-28382	136	30	performance	performance	NOUN
bracis-28382	136	31	across	across	ADP
bracis-28382	136	32	all	all	DET
bracis-28382	136	33	classes	class	NOUN
bracis-28382	136	34	.	.	PUNCT
bracis-28382	137	1	4	4	NUM
bracis-28382	137	2	results	result	NOUN
bracis-28382	137	3	and	and	CCONJ
bracis-28382	137	4	 	 	SPACE
bracis-28382	137	5	discussion	discussion	NOUN
bracis-28382	137	6	in	in	ADP
bracis-28382	137	7	this	this	DET
bracis-28382	137	8	section	section	NOUN
bracis-28382	137	9	,	,	PUNCT
bracis-28382	137	10	we	we	PRON
bracis-28382	137	11	present	present	VERB
bracis-28382	137	12	a	a	DET
bracis-28382	137	13	comprehensive	comprehensive	ADJ
bracis-28382	137	14	analysis	analysis	NOUN
bracis-28382	137	15	of	of	ADP
bracis-28382	137	16	various	various	ADJ
bracis-28382	137	17	aspects	aspect	NOUN
bracis-28382	137	18	related	relate	VERB
bracis-28382	137	19	to	to	ADP
bracis-28382	137	20	convolutional	convolutional	ADJ
bracis-28382	137	21	neural	neural	ADJ
bracis-28382	137	22	networks	network	NOUN
bracis-28382	137	23	(	(	PUNCT
bracis-28382	137	24	cnns	cnns	PROPN
bracis-28382	137	25	)	)	PUNCT
bracis-28382	137	26	and	and	CCONJ
bracis-28382	137	27	their	their	PRON
bracis-28382	137	28	fusion	fusion	NOUN
bracis-28382	137	29	configurations	configuration	NOUN
bracis-28382	137	30	.	.	PUNCT
bracis-28382	138	1	firstly	firstly	ADV
bracis-28382	138	2	,	,	PUNCT
bracis-28382	138	3	we	we	PRON
bracis-28382	138	4	discuss	discuss	VERB
bracis-28382	138	5	the	the	DET
bracis-28382	138	6	analysis	analysis	NOUN
bracis-28382	138	7	for	for	ADP
bracis-28382	138	8	individual	individual	ADJ
bracis-28382	138	9	cnns	cnn	NOUN
bracis-28382	138	10	.	.	PUNCT
bracis-28382	139	1	next	next	ADV
bracis-28382	139	2	,	,	PUNCT
bracis-28382	139	3	we	we	PRON
bracis-28382	139	4	delve	delve	VERB
bracis-28382	139	5	into	into	ADP
bracis-28382	139	6	the	the	DET
bracis-28382	139	7	evaluation	evaluation	NOUN
bracis-28382	139	8	of	of	ADP
bracis-28382	139	9	fusion	fusion	NOUN
bracis-28382	139	10	configurations	configuration	NOUN
bracis-28382	139	11	and	and	CCONJ
bracis-28382	139	12	cnn	cnn	NOUN
bracis-28382	139	13	performance	performance	NOUN
bracis-28382	139	14	metrics	metric	NOUN
bracis-28382	139	15	.	.	PUNCT
bracis-28382	140	1	furthermore	furthermore	ADV
bracis-28382	140	2	,	,	PUNCT
bracis-28382	140	3	we	we	PRON
bracis-28382	140	4	investigate	investigate	VERB
bracis-28382	140	5	the	the	DET
bracis-28382	140	6	fusion	fusion	NOUN
bracis-28382	140	7	with	with	ADP
bracis-28382	140	8	optimal	optimal	ADJ
bracis-28382	140	9	training	training	NOUN
bracis-28382	140	10	cnn	cnn	PROPN
bracis-28382	140	11	models	model	NOUN
bracis-28382	140	12	.	.	PUNCT
bracis-28382	141	1	lastly	lastly	ADV
bracis-28382	141	2	,	,	PUNCT
bracis-28382	141	3	we	we	PRON
bracis-28382	141	4	conduct	conduct	VERB
bracis-28382	141	5	a	a	DET
bracis-28382	141	6	comprehensive	comprehensive	ADJ
bracis-28382	141	7	analysis	analysis	NOUN
bracis-28382	141	8	of	of	ADP
bracis-28382	141	9	resource	resource	NOUN
bracis-28382	141	10	consumption	consumption	NOUN
bracis-28382	141	11	for	for	ADP
bracis-28382	141	12	the	the	DET
bracis-28382	141	13	cnn	cnn	PROPN
bracis-28382	141	14	models	model	NOUN
bracis-28382	141	15	.	.	PUNCT
bracis-28382	142	1	by	by	ADP
bracis-28382	142	2	examining	examine	VERB
bracis-28382	142	3	these	these	DET
bracis-28382	142	4	four	four	NUM
bracis-28382	142	5	aspects	aspect	NOUN
bracis-28382	142	6	,	,	PUNCT
bracis-28382	142	7	we	we	PRON
bracis-28382	142	8	gain	gain	VERB
bracis-28382	142	9	a	a	DET
bracis-28382	142	10	comprehensive	comprehensive	ADJ
bracis-28382	142	11	understanding	understanding	NOUN
bracis-28382	142	12	of	of	ADP
bracis-28382	142	13	the	the	DET
bracis-28382	142	14	individual	individual	NOUN
bracis-28382	142	15	and	and	CCONJ
bracis-28382	142	16	fused	fuse	VERB
bracis-28382	142	17	cnn	cnn	PROPN
bracis-28382	142	18	models	model	NOUN
bracis-28382	142	19	,	,	PUNCT
bracis-28382	142	20	their	their	PRON
bracis-28382	142	21	performance	performance	NOUN
bracis-28382	142	22	metrics	metric	NOUN
bracis-28382	142	23	,	,	PUNCT
bracis-28382	142	24	optimal	optimal	ADJ
bracis-28382	142	25	training	training	NOUN
bracis-28382	142	26	configurations	configuration	NOUN
bracis-28382	142	27	,	,	PUNCT
bracis-28382	142	28	and	and	CCONJ
bracis-28382	142	29	resource	resource	NOUN
bracis-28382	142	30	requirements	requirement	NOUN
bracis-28382	142	31	.	.	PUNCT
bracis-28382	143	1	this	this	DET
bracis-28382	143	2	knowledge	knowledge	NOUN
bracis-28382	143	3	enables	enable	VERB
bracis-28382	143	4	us	we	PRON
bracis-28382	143	5	to	to	PART
bracis-28382	143	6	make	make	VERB
bracis-28382	143	7	informed	informed	ADJ
bracis-28382	143	8	decisions	decision	NOUN
bracis-28382	143	9	and	and	CCONJ
bracis-28382	143	10	design	design	VERB
bracis-28382	143	11	more	more	ADV
bracis-28382	143	12	effective	effective	ADJ
bracis-28382	143	13	and	and	CCONJ
bracis-28382	143	14	resource	resource	NOUN
bracis-28382	143	15	-	-	PUNCT
bracis-28382	143	16	efficient	efficient	ADJ
bracis-28382	143	17	cnn	cnn	PROPN
bracis-28382	143	18	-	-	PUNCT
bracis-28382	143	19	based	base	VERB
bracis-28382	143	20	systems	system	NOUN
bracis-28382	143	21	.	.	PUNCT
bracis-28382	144	1	4.1	4.1	NUM
bracis-28382	144	2	analysis	analysis	NOUN
bracis-28382	144	3	for	for	ADP
bracis-28382	144	4	 	 	SPACE
bracis-28382	144	5	individual	individual	ADJ
bracis-28382	144	6	convolutional	convolutional	ADJ
bracis-28382	144	7	neural	neural	ADJ
bracis-28382	144	8	networks	network	NOUN
bracis-28382	144	9	in	in	ADP
bracis-28382	144	10	this	this	DET
bracis-28382	144	11	section	section	NOUN
bracis-28382	144	12	,	,	PUNCT
bracis-28382	144	13	we	we	PRON
bracis-28382	144	14	evaluate	evaluate	VERB
bracis-28382	144	15	the	the	DET
bracis-28382	144	16	individual	individual	ADJ
bracis-28382	144	17	performance	performance	NOUN
bracis-28382	144	18	of	of	ADP
bracis-28382	144	19	the	the	DET
bracis-28382	144	20	cnn	cnn	PROPN
bracis-28382	144	21	models	model	NOUN
bracis-28382	144	22	and	and	CCONJ
bracis-28382	144	23	their	their	PRON
bracis-28382	144	24	effectiveness	effectiveness	NOUN
bracis-28382	144	25	in	in	ADP
bracis-28382	144	26	tackling	tackle	VERB
bracis-28382	144	27	the	the	DET
bracis-28382	144	28	given	give	VERB
bracis-28382	144	29	task	task	NOUN
bracis-28382	144	30	.	.	PUNCT
bracis-28382	145	1	this	this	DET
bracis-28382	145	2	analysis	analysis	NOUN
bracis-28382	145	3	provides	provide	VERB
bracis-28382	145	4	insights	insight	NOUN
bracis-28382	145	5	into	into	ADP
bracis-28382	145	6	the	the	DET
bracis-28382	145	7	strengths	strength	NOUN
bracis-28382	145	8	and	and	CCONJ
bracis-28382	145	9	weaknesses	weakness	NOUN
bracis-28382	145	10	of	of	ADP
bracis-28382	145	11	each	each	DET
bracis-28382	145	12	individual	individual	ADJ
bracis-28382	145	13	model	model	NOUN
bracis-28382	145	14	.	.	PUNCT
bracis-28382	146	1	table	table	NOUN
bracis-28382	146	2	 	 	SPACE
bracis-28382	146	3	2	2	NUM
bracis-28382	146	4	present	present	ADJ
bracis-28382	146	5	differents	different	NOUN
bracis-28382	146	6	cnns	cnn	NOUN
bracis-28382	146	7	and	and	CCONJ
bracis-28382	146	8	configurations	configuration	NOUN
bracis-28382	146	9	,	,	PUNCT
bracis-28382	146	10	such	such	ADJ
bracis-28382	146	11	as	as	ADP
bracis-28382	146	12	learning	learn	VERB
bracis-28382	146	13	rate	rate	NOUN
bracis-28382	146	14	(	(	PUNCT
bracis-28382	146	15	lr	lr	NOUN
bracis-28382	146	16	)	)	PUNCT
bracis-28382	146	17	,	,	PUNCT
bracis-28382	146	18	in	in	ADP
bracis-28382	146	19	addition	addition	NOUN
bracis-28382	146	20	,	,	PUNCT
bracis-28382	146	21	performance	performance	NOUN
bracis-28382	146	22	metrics	metric	NOUN
bracis-28382	146	23	,	,	PUNCT
bracis-28382	146	24	including	include	VERB
bracis-28382	146	25	matthews	matthews	NOUN
bracis-28382	146	26	correlation	correlation	NOUN
bracis-28382	146	27	coefficient	coefficient	NOUN
bracis-28382	146	28	(	(	PUNCT
bracis-28382	146	29	mcc	mcc	NOUN
bracis-28382	146	30	)	)	PUNCT
bracis-28382	146	31	,	,	PUNCT
bracis-28382	146	32	precision	precision	NOUN
bracis-28382	146	33	,	,	PUNCT
bracis-28382	146	34	recall	recall	NOUN
bracis-28382	146	35	,	,	PUNCT
bracis-28382	146	36	and	and	CCONJ
bracis-28382	146	37	f1	f1	NOUN
bracis-28382	146	38	-	-	PUNCT
bracis-28382	146	39	score	score	NOUN
bracis-28382	146	40	.	.	PUNCT
bracis-28382	147	1	each	each	DET
bracis-28382	147	2	row	row	NOUN
bracis-28382	147	3	represents	represent	VERB
bracis-28382	147	4	a	a	DET
bracis-28382	147	5	different	different	ADJ
bracis-28382	147	6	cnn	cnn	PROPN
bracis-28382	147	7	model	model	NOUN
bracis-28382	147	8	,	,	PUNCT
bracis-28382	147	9	denoted	denote	VERB
bracis-28382	147	10	by	by	ADP
bracis-28382	147	11	\(m_{1}\	\(m_{1}\	NOUN
bracis-28382	147	12	)	)	PUNCT
bracis-28382	147	13	to	to	ADP
bracis-28382	147	14	\(m_{7}\	\(m_{7}\	ADJ
bracis-28382	147	15	)	)	PUNCT
bracis-28382	147	16	.	.	PUNCT
bracis-28382	148	1	analyzing	analyze	VERB
bracis-28382	148	2	the	the	DET
bracis-28382	148	3	results	result	NOUN
bracis-28382	148	4	,	,	PUNCT
bracis-28382	148	5	it	it	PRON
bracis-28382	148	6	can	can	AUX
bracis-28382	148	7	be	be	AUX
bracis-28382	148	8	observed	observe	VERB
bracis-28382	148	9	that	that	SCONJ
bracis-28382	148	10	different	different	ADJ
bracis-28382	148	11	cnn	cnn	PROPN
bracis-28382	148	12	models	model	NOUN
bracis-28382	148	13	achieve	achieve	VERB
bracis-28382	148	14	varying	vary	VERB
bracis-28382	148	15	levels	level	NOUN
bracis-28382	148	16	of	of	ADP
bracis-28382	148	17	performance	performance	NOUN
bracis-28382	148	18	across	across	ADP
bracis-28382	148	19	the	the	DET
bracis-28382	148	20	evaluated	evaluated	ADJ
bracis-28382	148	21	metrics	metric	NOUN
bracis-28382	148	22	.	.	PUNCT
bracis-28382	149	1	among	among	ADP
bracis-28382	149	2	the	the	DET
bracis-28382	149	3	models	model	NOUN
bracis-28382	149	4	,	,	PUNCT
bracis-28382	149	5	\(m_{2}\	\(m_{2}\	NUM
bracis-28382	149	6	)	)	PUNCT
bracis-28382	149	7	(	(	PUNCT
bracis-28382	149	8	densenet161	densenet161	PROPN
bracis-28382	149	9	)	)	PUNCT
bracis-28382	149	10	stands	stand	VERB
bracis-28382	149	11	out	out	ADP
bracis-28382	149	12	with	with	ADP
bracis-28382	149	13	the	the	DET
bracis-28382	149	14	highest	high	ADJ
bracis-28382	149	15	precision	precision	NOUN
bracis-28382	149	16	,	,	PUNCT
bracis-28382	149	17	recall	recall	NOUN
bracis-28382	149	18	,	,	PUNCT
bracis-28382	149	19	f1	f1	NOUN
bracis-28382	149	20	-	-	PUNCT
bracis-28382	149	21	score	score	NOUN
bracis-28382	149	22	,	,	PUNCT
bracis-28382	149	23	and	and	CCONJ
bracis-28382	149	24	mcc	mcc	PROPN
bracis-28382	149	25	values	value	NOUN
bracis-28382	149	26	.	.	PUNCT
bracis-28382	150	1	on	on	ADP
bracis-28382	150	2	the	the	DET
bracis-28382	150	3	other	other	ADJ
bracis-28382	150	4	hand	hand	NOUN
bracis-28382	150	5	,	,	PUNCT
bracis-28382	150	6	\(m_{5}\	\(m_{5}\	X
bracis-28382	150	7	)	)	PUNCT
bracis-28382	150	8	(	(	PUNCT
bracis-28382	150	9	mobilenetv2	mobilenetv2	PROPN
bracis-28382	150	10	)	)	PUNCT
bracis-28382	150	11	and	and	CCONJ
bracis-28382	150	12	\(m_{7}\	\(m_{7}\	NOUN
bracis-28382	150	13	)	)	PUNCT
bracis-28382	150	14	(	(	PUNCT
bracis-28382	150	15	vgg16	vgg16	NOUN
bracis-28382	150	16	)	)	PUNCT
bracis-28382	150	17	exhibit	exhibit	VERB
bracis-28382	150	18	slightly	slightly	ADV
bracis-28382	150	19	lower	low	ADJ
bracis-28382	150	20	performance	performance	NOUN
bracis-28382	150	21	in	in	ADP
bracis-28382	150	22	terms	term	NOUN
bracis-28382	150	23	of	of	ADP
bracis-28382	150	24	precision	precision	NOUN
bracis-28382	150	25	,	,	PUNCT
bracis-28382	150	26	recall	recall	NOUN
bracis-28382	150	27	,	,	PUNCT
bracis-28382	150	28	f1	f1	NOUN
bracis-28382	150	29	-	-	PUNCT
bracis-28382	150	30	score	score	NOUN
bracis-28382	150	31	,	,	PUNCT
bracis-28382	150	32	and	and	CCONJ
bracis-28382	150	33	mcc	mcc	PROPN
bracis-28382	150	34	.	.	PROPN
bracis-28382	150	35	table	table	PROPN
bracis-28382	150	36	2	2	NUM
bracis-28382	150	37	.	.	PUNCT
bracis-28382	150	38	individual	individual	ADJ
bracis-28382	150	39	convolutional	convolutional	ADJ
bracis-28382	150	40	neural	neural	ADJ
bracis-28382	150	41	networks	network	NOUN
bracis-28382	150	42	results.full	results.full	NOUN
bracis-28382	150	43	size	size	NOUN
bracis-28382	150	44	table	table	NOUN
bracis-28382	150	45	4.2	4.2	NUM
bracis-28382	150	46	analysis	analysis	NOUN
bracis-28382	150	47	of	of	ADP
bracis-28382	150	48	 	 	SPACE
bracis-28382	150	49	fusion	fusion	NOUN
bracis-28382	150	50	configurations	configuration	NOUN
bracis-28382	150	51	and	and	CCONJ
bracis-28382	150	52	 	 	SPACE
bracis-28382	150	53	cnn	cnn	NOUN
bracis-28382	150	54	performance	performance	NOUN
bracis-28382	150	55	metrics	metric	NOUN
bracis-28382	150	56	in	in	ADP
bracis-28382	150	57	this	this	DET
bracis-28382	150	58	section	section	NOUN
bracis-28382	150	59	,	,	PUNCT
bracis-28382	150	60	we	we	PRON
bracis-28382	150	61	explore	explore	VERB
bracis-28382	150	62	different	different	ADJ
bracis-28382	150	63	fusion	fusion	NOUN
bracis-28382	150	64	techniques	technique	NOUN
bracis-28382	150	65	and	and	CCONJ
bracis-28382	150	66	assess	assess	VERB
bracis-28382	150	67	their	their	PRON
bracis-28382	150	68	impact	impact	NOUN
bracis-28382	150	69	on	on	ADP
bracis-28382	150	70	the	the	DET
bracis-28382	150	71	overall	overall	ADJ
bracis-28382	150	72	performance	performance	NOUN
bracis-28382	150	73	of	of	ADP
bracis-28382	150	74	the	the	DET
bracis-28382	150	75	system	system	NOUN
bracis-28382	150	76	.	.	PUNCT
bracis-28382	151	1	table	table	NOUN
bracis-28382	151	2	 	 	SPACE
bracis-28382	151	3	3	3	NUM
bracis-28382	151	4	presents	present	VERB
bracis-28382	151	5	the	the	DET
bracis-28382	151	6	results	result	NOUN
bracis-28382	151	7	obtained	obtain	VERB
bracis-28382	151	8	from	from	ADP
bracis-28382	151	9	the	the	DET
bracis-28382	151	10	fusion	fusion	NOUN
bracis-28382	151	11	of	of	ADP
bracis-28382	151	12	multiple	multiple	ADJ
bracis-28382	151	13	convolutional	convolutional	ADJ
bracis-28382	151	14	neural	neural	ADJ
bracis-28382	151	15	networks	network	NOUN
bracis-28382	151	16	(	(	PUNCT
bracis-28382	151	17	cnns	cnns	PROPN
bracis-28382	151	18	)	)	PUNCT
bracis-28382	151	19	,	,	PUNCT
bracis-28382	151	20	ensembles	ensemble	NOUN
bracis-28382	151	21	,	,	PUNCT
bracis-28382	151	22	using	use	VERB
bracis-28382	151	23	the	the	DET
bracis-28382	151	24	average	average	ADJ
bracis-28382	151	25	method	method	NOUN
bracis-28382	151	26	.	.	PUNCT
bracis-28382	152	1	each	each	DET
bracis-28382	152	2	row	row	NOUN
bracis-28382	152	3	in	in	ADP
bracis-28382	152	4	the	the	DET
bracis-28382	152	5	table	table	NOUN
bracis-28382	152	6	represents	represent	VERB
bracis-28382	152	7	a	a	DET
bracis-28382	152	8	different	different	ADJ
bracis-28382	152	9	fusion	fusion	NOUN
bracis-28382	152	10	scenario	scenario	NOUN
bracis-28382	152	11	,	,	PUNCT
bracis-28382	152	12	denoted	denote	VERB
bracis-28382	152	13	by	by	ADP
bracis-28382	152	14	\(f_{i}\	\(f_{i}\	NOUN
bracis-28382	152	15	)	)	PUNCT
bracis-28382	152	16	,	,	PUNCT
bracis-28382	152	17	where	where	SCONJ
bracis-28382	152	18	multiple	multiple	ADJ
bracis-28382	152	19	cnn	cnn	PROPN
bracis-28382	152	20	models	model	NOUN
bracis-28382	152	21	(	(	PUNCT
bracis-28382	152	22	\(m_{1}\	\(m_{1}\	ADV
bracis-28382	152	23	)	)	PUNCT
bracis-28382	152	24	to	to	ADP
bracis-28382	152	25	\(m_{7}\	\(m_{7}\	ADJ
bracis-28382	152	26	)	)	PUNCT
bracis-28382	152	27	)	)	PUNCT
bracis-28382	152	28	are	be	AUX
bracis-28382	152	29	combined	combine	VERB
bracis-28382	152	30	,	,	PUNCT
bracis-28382	152	31	where	where	SCONJ
bracis-28382	152	32	(	(	PUNCT
bracis-28382	152	33	y	y	NOUN
bracis-28382	152	34	)	)	PUNCT
bracis-28382	152	35	indicates	indicate	VERB
bracis-28382	152	36	the	the	DET
bracis-28382	152	37	presence	presence	NOUN
bracis-28382	152	38	of	of	ADP
bracis-28382	152	39	a	a	DET
bracis-28382	152	40	model	model	NOUN
bracis-28382	152	41	in	in	ADP
bracis-28382	152	42	the	the	DET
bracis-28382	152	43	fusion	fusion	NOUN
bracis-28382	152	44	configuration	configuration	NOUN
bracis-28382	152	45	,	,	PUNCT
bracis-28382	152	46	while	while	SCONJ
bracis-28382	152	47	(	(	PUNCT
bracis-28382	152	48	n	n	CCONJ
bracis-28382	152	49	)	)	PUNCT
bracis-28382	152	50	denotes	denote	VERB
bracis-28382	152	51	the	the	DET
bracis-28382	152	52	absence	absence	NOUN
bracis-28382	152	53	of	of	ADP
bracis-28382	152	54	that	that	DET
bracis-28382	152	55	model	model	NOUN
bracis-28382	152	56	.	.	PUNCT
bracis-28382	153	1	the	the	DET
bracis-28382	153	2	table	table	NOUN
bracis-28382	153	3	also	also	ADV
bracis-28382	153	4	includes	include	VERB
bracis-28382	153	5	the	the	DET
bracis-28382	153	6	lr	lr	NOUN
bracis-28382	153	7	used	use	VERB
bracis-28382	153	8	for	for	ADP
bracis-28382	153	9	each	each	DET
bracis-28382	153	10	fusion	fusion	NOUN
bracis-28382	153	11	scenario	scenario	NOUN
bracis-28382	153	12	.	.	PUNCT
bracis-28382	154	1	the	the	DET
bracis-28382	154	2	evaluation	evaluation	NOUN
bracis-28382	154	3	metrics	metric	NOUN
bracis-28382	154	4	used	use	VERB
bracis-28382	154	5	to	to	PART
bracis-28382	154	6	assess	assess	VERB
bracis-28382	154	7	the	the	DET
bracis-28382	154	8	performance	performance	NOUN
bracis-28382	154	9	of	of	ADP
bracis-28382	154	10	the	the	DET
bracis-28382	154	11	fusion	fusion	NOUN
bracis-28382	154	12	approach	approach	NOUN
bracis-28382	154	13	are	be	AUX
bracis-28382	154	14	precision	precision	NOUN
bracis-28382	154	15	,	,	PUNCT
bracis-28382	154	16	recall	recall	NOUN
bracis-28382	154	17	,	,	PUNCT
bracis-28382	154	18	f1	f1	NOUN
bracis-28382	154	19	-	-	PUNCT
bracis-28382	154	20	score	score	NOUN
bracis-28382	154	21	,	,	PUNCT
bracis-28382	154	22	and	and	CCONJ
bracis-28382	154	23	mcc	mcc	NOUN
bracis-28382	154	24	.	.	PROPN
bracis-28382	154	25	analyzing	analyze	VERB
bracis-28382	154	26	the	the	DET
bracis-28382	154	27	results	result	NOUN
bracis-28382	154	28	,	,	PUNCT
bracis-28382	154	29	it	it	PRON
bracis-28382	154	30	can	can	AUX
bracis-28382	154	31	be	be	AUX
bracis-28382	154	32	seen	see	VERB
bracis-28382	154	33	that	that	SCONJ
bracis-28382	154	34	different	different	ADJ
bracis-28382	154	35	ensemble	ensemble	ADJ
bracis-28382	154	36	architectures	architecture	NOUN
bracis-28382	154	37	and	and	CCONJ
bracis-28382	154	38	their	their	PRON
bracis-28382	154	39	fusion	fusion	NOUN
bracis-28382	154	40	responses	response	NOUN
bracis-28382	154	41	generate	generate	VERB
bracis-28382	154	42	varying	vary	VERB
bracis-28382	154	43	levels	level	NOUN
bracis-28382	154	44	of	of	ADP
bracis-28382	154	45	performance	performance	NOUN
bracis-28382	154	46	in	in	ADP
bracis-28382	154	47	the	the	DET
bracis-28382	154	48	evaluated	evaluated	ADJ
bracis-28382	154	49	metrics	metric	NOUN
bracis-28382	154	50	.	.	PUNCT
bracis-28382	155	1	table	table	NOUN
bracis-28382	155	2	3	3	NUM
bracis-28382	155	3	.	.	PUNCT
bracis-28382	156	1	results	result	NOUN
bracis-28382	156	2	obtained	obtain	VERB
bracis-28382	156	3	with	with	ADP
bracis-28382	156	4	fusion	fusion	NOUN
bracis-28382	156	5	of	of	ADP
bracis-28382	156	6	cnn	cnn	NOUN
bracis-28382	156	7	by	by	ADP
bracis-28382	156	8	average.full	average.full	ADJ
bracis-28382	156	9	size	size	NOUN
bracis-28382	156	10	table	table	NOUN
bracis-28382	156	11	among	among	ADP
bracis-28382	156	12	the	the	DET
bracis-28382	156	13	merger	merger	NOUN
bracis-28382	156	14	scenarios	scenario	NOUN
bracis-28382	156	15	,	,	PUNCT
bracis-28382	156	16	\(f_3\	\(f_3\	NOUN
bracis-28382	156	17	)	)	PUNCT
bracis-28382	156	18	displays	display	VERB
bracis-28382	156	19	the	the	DET
bracis-28382	156	20	highest	high	ADJ
bracis-28382	156	21	f1	f1	ADJ
bracis-28382	156	22	-	-	PUNCT
bracis-28382	156	23	score	score	NOUN
bracis-28382	156	24	value	value	NOUN
bracis-28382	156	25	for	for	ADP
bracis-28382	156	26	macro	macro	NOUN
bracis-28382	156	27	-	-	NOUN
bracis-28382	156	28	average	average	ADJ
bracis-28382	156	29	.	.	PUNCT
bracis-28382	157	1	this	this	DET
bracis-28382	157	2	scenario	scenario	NOUN
bracis-28382	157	3	combines	combine	VERB
bracis-28382	157	4	specific	specific	ADJ
bracis-28382	157	5	cnn	cnn	NOUN
bracis-28382	157	6	models	model	NOUN
bracis-28382	157	7	(	(	PUNCT
bracis-28382	157	8	\(m_{2}\	\(m_{2}\	NUM
bracis-28382	157	9	)	)	PUNCT
bracis-28382	157	10	,	,	PUNCT
bracis-28382	157	11	\(m_{4}\	\(m_{4}\	NOUN
bracis-28382	157	12	)	)	PUNCT
bracis-28382	157	13	,	,	PUNCT
bracis-28382	157	14	\(m_{6}\	\(m_{6}\	VERB
bracis-28382	157	15	)	)	PUNCT
bracis-28382	157	16	and	and	CCONJ
bracis-28382	157	17	\(m_{7}\	\(m_{7}\	NOUN
bracis-28382	157	18	)	)	PUNCT
bracis-28382	157	19	)	)	PUNCT
bracis-28382	157	20	and	and	CCONJ
bracis-28382	157	21	achieves	achieve	VERB
bracis-28382	157	22	remarkable	remarkable	ADJ
bracis-28382	157	23	performance	performance	NOUN
bracis-28382	157	24	in	in	ADP
bracis-28382	157	25	correctly	correctly	ADV
bracis-28382	157	26	classifying	classify	VERB
bracis-28382	157	27	positive	positive	ADJ
bracis-28382	157	28	and	and	CCONJ
bracis-28382	157	29	negative	negative	ADJ
bracis-28382	157	30	instances	instance	NOUN
bracis-28382	157	31	.	.	PUNCT
bracis-28382	158	1	these	these	DET
bracis-28382	158	2	scenarios	scenario	NOUN
bracis-28382	158	3	show	show	VERB
bracis-28382	158	4	the	the	DET
bracis-28382	158	5	effectiveness	effectiveness	NOUN
bracis-28382	158	6	of	of	ADP
bracis-28382	158	7	ensemble	ensemble	ADJ
bracis-28382	158	8	methods	method	NOUN
bracis-28382	158	9	to	to	PART
bracis-28382	158	10	improve	improve	VERB
bracis-28382	158	11	classification	classification	NOUN
bracis-28382	158	12	accuracy	accuracy	NOUN
bracis-28382	158	13	.	.	PUNCT
bracis-28382	159	1	fusion	fusion	NOUN
bracis-28382	159	2	\(f_1\	\(f_1\	PROPN
bracis-28382	159	3	)	)	PUNCT
bracis-28382	159	4	stands	stand	VERB
bracis-28382	159	5	out	out	ADP
bracis-28382	159	6	,	,	PUNCT
bracis-28382	159	7	achieving	achieve	VERB
bracis-28382	159	8	relatively	relatively	ADV
bracis-28382	159	9	high	high	ADJ
bracis-28382	159	10	values	value	NOUN
bracis-28382	159	11	of	of	ADP
bracis-28382	159	12	accuracy	accuracy	NOUN
bracis-28382	159	13	,	,	PUNCT
bracis-28382	159	14	recall	recall	NOUN
bracis-28382	159	15	,	,	PUNCT
bracis-28382	159	16	f1	f1	NOUN
bracis-28382	159	17	-	-	PUNCT
bracis-28382	159	18	score	score	NOUN
bracis-28382	159	19	and	and	CCONJ
bracis-28382	159	20	mcc	mcc	NOUN
bracis-28382	159	21	,	,	PUNCT
bracis-28382	159	22	for	for	ADP
bracis-28382	159	23	micro	micro	PROPN
bracis-28382	159	24	average	average	NOUN
bracis-28382	159	25	.	.	PUNCT
bracis-28382	160	1	this	this	PRON
bracis-28382	160	2	suggests	suggest	VERB
bracis-28382	160	3	that	that	SCONJ
bracis-28382	160	4	the	the	DET
bracis-28382	160	5	combination	combination	NOUN
bracis-28382	160	6	of	of	ADP
bracis-28382	160	7	models	model	NOUN
bracis-28382	160	8	\(m_2\	\(m_2\	PROPN
bracis-28382	160	9	)	)	PUNCT
bracis-28382	160	10	,	,	PUNCT
bracis-28382	160	11	\(m_4\	\(m_4\	PROPN
bracis-28382	160	12	)	)	PUNCT
bracis-28382	160	13	,	,	PUNCT
bracis-28382	160	14	\(m_6\	\(m_6\	PROPN
bracis-28382	160	15	)	)	PUNCT
bracis-28382	160	16	and	and	CCONJ
bracis-28382	160	17	\(m_7\	\(m_7\	PROPN
bracis-28382	160	18	)	)	PUNCT
bracis-28382	160	19	with	with	ADP
bracis-28382	160	20	an	an	DET
bracis-28382	160	21	lr	lr	NOUN
bracis-28382	160	22	of	of	ADP
bracis-28382	160	23	\(\eta	\(\eta	NOUN
bracis-28382	160	24	=	=	SYM
bracis-28382	160	25	0.003\	0.003\	PROPN
bracis-28382	160	26	)	)	PUNCT
bracis-28382	160	27	leads	lead	VERB
bracis-28382	160	28	to	to	ADP
bracis-28382	160	29	successful	successful	ADJ
bracis-28382	160	30	predictions	prediction	NOUN
bracis-28382	160	31	with	with	ADP
bracis-28382	160	32	high	high	ADJ
bracis-28382	160	33	accuracy	accuracy	NOUN
bracis-28382	160	34	and	and	CCONJ
bracis-28382	160	35	completeness	completeness	NOUN
bracis-28382	160	36	.	.	PUNCT
bracis-28382	161	1	considering	consider	VERB
bracis-28382	161	2	the	the	DET
bracis-28382	161	3	cnn	cnn	PROPN
bracis-28382	161	4	models	model	NOUN
bracis-28382	161	5	that	that	PRON
bracis-28382	161	6	appeared	appear	VERB
bracis-28382	161	7	more	more	ADV
bracis-28382	161	8	frequently	frequently	ADV
bracis-28382	161	9	in	in	ADP
bracis-28382	161	10	the	the	DET
bracis-28382	161	11	fusion	fusion	NOUN
bracis-28382	161	12	experiments	experiment	NOUN
bracis-28382	161	13	,	,	PUNCT
bracis-28382	161	14	the	the	DET
bracis-28382	161	15	models	model	NOUN
bracis-28382	161	16	\(m_2\	\(m_2\	PROPN
bracis-28382	161	17	)	)	PUNCT
bracis-28382	161	18	,	,	PUNCT
bracis-28382	161	19	\(m_6\	\(m_6\	PROPN
bracis-28382	161	20	)	)	PUNCT
bracis-28382	161	21	and	and	CCONJ
bracis-28382	161	22	\(m_7\	\(m_7\	PROPN
bracis-28382	161	23	)	)	PUNCT
bracis-28382	161	24	were	be	AUX
bracis-28382	161	25	used	use	VERB
bracis-28382	161	26	in	in	ADP
bracis-28382	161	27	a	a	DET
bracis-28382	161	28	greater	great	ADJ
bracis-28382	161	29	number	number	NOUN
bracis-28382	161	30	of	of	ADP
bracis-28382	161	31	experiments	experiment	NOUN
bracis-28382	161	32	.	.	PUNCT
bracis-28382	162	1	this	this	PRON
bracis-28382	162	2	suggests	suggest	VERB
bracis-28382	162	3	that	that	SCONJ
bracis-28382	162	4	these	these	DET
bracis-28382	162	5	models	model	NOUN
bracis-28382	162	6	have	have	VERB
bracis-28382	162	7	a	a	DET
bracis-28382	162	8	greater	great	ADJ
bracis-28382	162	9	impact	impact	NOUN
bracis-28382	162	10	on	on	ADP
bracis-28382	162	11	the	the	DET
bracis-28382	162	12	overall	overall	ADJ
bracis-28382	162	13	performance	performance	NOUN
bracis-28382	162	14	of	of	ADP
bracis-28382	162	15	the	the	DET
bracis-28382	162	16	ensemble	ensemble	ADJ
bracis-28382	162	17	architectures	architecture	NOUN
bracis-28382	162	18	.	.	PUNCT
bracis-28382	163	1	table	table	NOUN
bracis-28382	163	2	 	 	SPACE
bracis-28382	163	3	4	4	NUM
bracis-28382	163	4	shows	show	VERB
bracis-28382	163	5	the	the	DET
bracis-28382	163	6	results	result	NOUN
bracis-28382	163	7	of	of	ADP
bracis-28382	163	8	the	the	DET
bracis-28382	163	9	cnn	cnn	PROPN
bracis-28382	163	10	merger	merger	NOUN
bracis-28382	163	11	using	use	VERB
bracis-28382	163	12	a	a	DET
bracis-28382	163	13	voting	voting	NOUN
bracis-28382	163	14	mechanism	mechanism	NOUN
bracis-28382	163	15	where	where	SCONJ
bracis-28382	163	16	each	each	DET
bracis-28382	163	17	model	model	NOUN
bracis-28382	163	18	in	in	ADP
bracis-28382	163	19	the	the	DET
bracis-28382	163	20	ensemble	ensemble	ADJ
bracis-28382	163	21	makes	make	VERB
bracis-28382	163	22	an	an	DET
bracis-28382	163	23	independent	independent	ADJ
bracis-28382	163	24	prediction	prediction	NOUN
bracis-28382	163	25	,	,	PUNCT
bracis-28382	163	26	and	and	CCONJ
bracis-28382	163	27	the	the	DET
bracis-28382	163	28	final	final	ADJ
bracis-28382	163	29	prediction	prediction	NOUN
bracis-28382	163	30	is	be	AUX
bracis-28382	163	31	based	base	VERB
bracis-28382	163	32	on	on	ADP
bracis-28382	163	33	the	the	DET
bracis-28382	163	34	highest	high	ADJ
bracis-28382	163	35	number	number	NOUN
bracis-28382	163	36	of	of	ADP
bracis-28382	163	37	votes	vote	NOUN
bracis-28382	163	38	.	.	PUNCT
bracis-28382	164	1	table	table	NOUN
bracis-28382	164	2	4	4	NUM
bracis-28382	164	3	.	.	PUNCT
bracis-28382	165	1	results	result	NOUN
bracis-28382	165	2	obtained	obtain	VERB
bracis-28382	165	3	with	with	ADP
bracis-28382	165	4	cnn	cnn	PROPN
bracis-28382	165	5	fusion	fusion	NOUN
bracis-28382	165	6	by	by	ADP
bracis-28382	165	7	vote.full	vote.full	NOUN
bracis-28382	165	8	size	size	NOUN
bracis-28382	165	9	table	table	NOUN
bracis-28382	165	10	upon	upon	SCONJ
bracis-28382	165	11	analyzing	analyze	VERB
bracis-28382	165	12	the	the	DET
bracis-28382	165	13	results	result	NOUN
bracis-28382	165	14	,	,	PUNCT
bracis-28382	165	15	it	it	PRON
bracis-28382	165	16	is	be	AUX
bracis-28382	165	17	evident	evident	ADJ
bracis-28382	165	18	that	that	SCONJ
bracis-28382	165	19	the	the	DET
bracis-28382	165	20	performance	performance	NOUN
bracis-28382	165	21	of	of	ADP
bracis-28382	165	22	the	the	DET
bracis-28382	165	23	fusion	fusion	NOUN
bracis-28382	165	24	models	model	NOUN
bracis-28382	165	25	varies	vary	VERB
bracis-28382	165	26	depending	depend	VERB
bracis-28382	165	27	on	on	ADP
bracis-28382	165	28	the	the	DET
bracis-28382	165	29	specific	specific	ADJ
bracis-28382	165	30	combination	combination	NOUN
bracis-28382	165	31	of	of	ADP
bracis-28382	165	32	cnn	cnn	PROPN
bracis-28382	165	33	models	model	NOUN
bracis-28382	165	34	used	use	VERB
bracis-28382	165	35	.	.	PUNCT
bracis-28382	166	1	\(f_2\	\(f_2\	PROPN
bracis-28382	166	2	)	)	PUNCT
bracis-28382	166	3	stands	stand	VERB
bracis-28382	166	4	out	out	ADP
bracis-28382	166	5	as	as	SCONJ
bracis-28382	166	6	it	it	PRON
bracis-28382	166	7	achieves	achieve	VERB
bracis-28382	166	8	the	the	DET
bracis-28382	166	9	highest	high	ADJ
bracis-28382	166	10	values	value	NOUN
bracis-28382	166	11	in	in	ADP
bracis-28382	166	12	terms	term	NOUN
bracis-28382	166	13	of	of	ADP
bracis-28382	166	14	f1	f1	NOUN
bracis-28382	166	15	-	-	PUNCT
bracis-28382	166	16	score	score	NOUN
bracis-28382	166	17	for	for	ADP
bracis-28382	166	18	macro	macro	NOUN
bracis-28382	166	19	(	(	PUNCT
bracis-28382	166	20	0.61582	0.61582	NUM
bracis-28382	166	21	)	)	PUNCT
bracis-28382	166	22	,	,	PUNCT
bracis-28382	166	23	f1	f1	NOUN
bracis-28382	166	24	-	-	PUNCT
bracis-28382	166	25	score	score	NOUN
bracis-28382	166	26	for	for	ADP
bracis-28382	166	27	micro	micro	ADJ
bracis-28382	166	28	average	average	ADJ
bracis-28382	166	29	(	(	PUNCT
bracis-28382	166	30	0.90892	0.90892	NUM
bracis-28382	166	31	)	)	PUNCT
bracis-28382	166	32	and	and	CCONJ
bracis-28382	166	33	mcc	mcc	PROPN
bracis-28382	166	34	(	(	PUNCT
bracis-28382	166	35	0.90115	0.90115	NUM
bracis-28382	166	36	)	)	PUNCT
bracis-28382	166	37	.	.	PUNCT
bracis-28382	167	1	this	this	DET
bracis-28382	167	2	combination	combination	NOUN
bracis-28382	167	3	includes	include	VERB
bracis-28382	167	4	models	model	NOUN
bracis-28382	167	5	\(m_1\	\(m_1\	PROPN
bracis-28382	167	6	)	)	PUNCT
bracis-28382	167	7	,	,	PUNCT
bracis-28382	167	8	\(m_2\	\(m_2\	PROPN
bracis-28382	167	9	)	)	PUNCT
bracis-28382	167	10	,	,	PUNCT
bracis-28382	167	11	\(m_3\	\(m_3\	PROPN
bracis-28382	167	12	)	)	PUNCT
bracis-28382	167	13	,	,	PUNCT
bracis-28382	167	14	\(m_4\	\(m_4\	PROPN
bracis-28382	167	15	)	)	PUNCT
bracis-28382	167	16	,	,	PUNCT
bracis-28382	167	17	and	and	CCONJ
bracis-28382	167	18	\(m_7\	\(m_7\	PROPN
bracis-28382	167	19	)	)	PUNCT
bracis-28382	167	20	,	,	PUNCT
bracis-28382	167	21	indicating	indicate	VERB
bracis-28382	167	22	that	that	SCONJ
bracis-28382	167	23	these	these	DET
bracis-28382	167	24	models	model	NOUN
bracis-28382	167	25	contribute	contribute	VERB
bracis-28382	167	26	significantly	significantly	ADV
bracis-28382	167	27	to	to	ADP
bracis-28382	167	28	the	the	DET
bracis-28382	167	29	overall	overall	ADJ
bracis-28382	167	30	performance	performance	NOUN
bracis-28382	167	31	of	of	ADP
bracis-28382	167	32	the	the	DET
bracis-28382	167	33	fusion	fusion	NOUN
bracis-28382	167	34	model	model	NOUN
bracis-28382	167	35	.	.	PUNCT
bracis-28382	168	1	4.3	4.3	NUM
bracis-28382	168	2	fusion	fusion	NOUN
bracis-28382	168	3	with	with	ADP
bracis-28382	168	4	 	 	SPACE
bracis-28382	168	5	optimal	optimal	ADJ
bracis-28382	168	6	training	training	NOUN
bracis-28382	168	7	cnn	cnn	PROPN
bracis-28382	168	8	models	model	NOUN
bracis-28382	168	9	in	in	ADP
bracis-28382	168	10	this	this	DET
bracis-28382	168	11	section	section	NOUN
bracis-28382	168	12	,	,	PUNCT
bracis-28382	168	13	we	we	PRON
bracis-28382	168	14	explore	explore	VERB
bracis-28382	168	15	the	the	DET
bracis-28382	168	16	integration	integration	NOUN
bracis-28382	168	17	of	of	ADP
bracis-28382	168	18	specific	specific	ADJ
bracis-28382	168	19	cnn	cnn	PROPN
bracis-28382	168	20	models	model	NOUN
bracis-28382	168	21	to	to	PART
bracis-28382	168	22	further	far	ADV
bracis-28382	168	23	enhance	enhance	VERB
bracis-28382	168	24	the	the	DET
bracis-28382	168	25	system	system	NOUN
bracis-28382	168	26	’s	’s	PART
bracis-28382	168	27	performance	performance	NOUN
bracis-28382	168	28	and	and	CCONJ
bracis-28382	168	29	achieve	achieve	VERB
bracis-28382	168	30	superior	superior	ADJ
bracis-28382	168	31	results	result	NOUN
bracis-28382	168	32	.	.	PUNCT
bracis-28382	169	1	table	table	NOUN
bracis-28382	169	2	 	 	SPACE
bracis-28382	169	3	5	5	NUM
bracis-28382	169	4	presents	present	VERB
bracis-28382	169	5	the	the	DET
bracis-28382	169	6	results	result	NOUN
bracis-28382	169	7	of	of	ADP
bracis-28382	169	8	the	the	DET
bracis-28382	169	9	fusion	fusion	NOUN
bracis-28382	169	10	of	of	ADP
bracis-28382	169	11	trained	train	VERB
bracis-28382	169	12	cnn	cnn	PROPN
bracis-28382	169	13	models	model	NOUN
bracis-28382	169	14	using	use	VERB
bracis-28382	169	15	different	different	ADJ
bracis-28382	169	16	combinations	combination	NOUN
bracis-28382	169	17	.	.	PUNCT
bracis-28382	170	1	in	in	ADP
bracis-28382	170	2	our	our	PRON
bracis-28382	170	3	experiments	experiment	NOUN
bracis-28382	170	4	,	,	PUNCT
bracis-28382	170	5	in	in	ADP
bracis-28382	170	6	\(f_4^b\	\(f_4^b\	NOUN
bracis-28382	170	7	)	)	PUNCT
bracis-28382	170	8	,	,	PUNCT
bracis-28382	170	9	considering	consider	VERB
bracis-28382	170	10	the	the	DET
bracis-28382	170	11	amount	amount	NOUN
bracis-28382	170	12	of	of	ADP
bracis-28382	170	13	cnns	cnn	NOUN
bracis-28382	170	14	that	that	PRON
bracis-28382	170	15	make	make	VERB
bracis-28382	170	16	up	up	ADP
bracis-28382	170	17	the	the	DET
bracis-28382	170	18	fusion	fusion	NOUN
bracis-28382	170	19	,	,	PUNCT
bracis-28382	170	20	we	we	PRON
bracis-28382	170	21	had	have	VERB
bracis-28382	170	22	the	the	DET
bracis-28382	170	23	best	good	ADJ
bracis-28382	170	24	performance	performance	NOUN
bracis-28382	170	25	compared	compare	VERB
bracis-28382	170	26	to	to	ADP
bracis-28382	170	27	other	other	ADJ
bracis-28382	170	28	combinations	combination	NOUN
bracis-28382	170	29	,	,	PUNCT
bracis-28382	170	30	considering	consider	VERB
bracis-28382	170	31	both	both	DET
bracis-28382	170	32	micro	micro	NOUN
bracis-28382	170	33	-	-	NOUN
bracis-28382	170	34	average	average	ADJ
bracis-28382	170	35	,	,	PUNCT
bracis-28382	170	36	f1	f1	NOUN
bracis-28382	170	37	-	-	PUNCT
bracis-28382	170	38	score	score	NOUN
bracis-28382	170	39	(	(	PUNCT
bracis-28382	170	40	0.913	0.913	NUM
bracis-28382	170	41	)	)	PUNCT
bracis-28382	170	42	and	and	CCONJ
bracis-28382	170	43	mcc	mcc	PROPN
bracis-28382	170	44	(	(	PUNCT
bracis-28382	170	45	0.905	0.905	NUM
bracis-28382	170	46	)	)	PUNCT
bracis-28382	170	47	.	.	PUNCT
bracis-28382	171	1	overall	overall	ADV
bracis-28382	171	2	,	,	PUNCT
bracis-28382	171	3	the	the	DET
bracis-28382	171	4	analysis	analysis	NOUN
bracis-28382	171	5	of	of	ADP
bracis-28382	171	6	the	the	DET
bracis-28382	171	7	fusion	fusion	NOUN
bracis-28382	171	8	results	result	NOUN
bracis-28382	171	9	indicates	indicate	VERB
bracis-28382	171	10	that	that	SCONJ
bracis-28382	171	11	the	the	DET
bracis-28382	171	12	combinations	combination	NOUN
bracis-28382	171	13	involving	involve	VERB
bracis-28382	171	14	\(m_2^b\	\(m_2^b\	NUM
bracis-28382	171	15	)	)	PUNCT
bracis-28382	171	16	(	(	PUNCT
bracis-28382	171	17	densenet161	densenet161	PROPN
bracis-28382	171	18	)	)	PUNCT
bracis-28382	171	19	,	,	PUNCT
bracis-28382	171	20	\(m_4^b\	\(m_4^b\	NOUN
bracis-28382	171	21	)	)	PUNCT
bracis-28382	171	22	(	(	PUNCT
bracis-28382	171	23	efficientnet_b0	efficientnet_b0	NOUN
bracis-28382	171	24	)	)	PUNCT
bracis-28382	171	25	,	,	PUNCT
bracis-28382	171	26	\(m_6^b\	\(m_6^b\	NUM
bracis-28382	171	27	)	)	PUNCT
bracis-28382	171	28	(	(	PUNCT
bracis-28382	171	29	resnet152	resnet152	PROPN
bracis-28382	171	30	)	)	PUNCT
bracis-28382	171	31	,	,	PUNCT
bracis-28382	171	32	and	and	CCONJ
bracis-28382	171	33	\(m_7^b\	\(m_7^b\	NOUN
bracis-28382	171	34	)	)	PUNCT
bracis-28382	171	35	(	(	PUNCT
bracis-28382	171	36	vgg16	vgg16	NOUN
bracis-28382	171	37	)	)	PUNCT
bracis-28382	171	38	generally	generally	ADV
bracis-28382	171	39	lead	lead	VERB
bracis-28382	171	40	to	to	ADP
bracis-28382	171	41	better	well	ADJ
bracis-28382	171	42	performance	performance	NOUN
bracis-28382	171	43	,	,	PUNCT
bracis-28382	171	44	with	with	ADP
bracis-28382	171	45	higher	high	ADJ
bracis-28382	171	46	f1	f1	NOUN
bracis-28382	171	47	-	-	PUNCT
bracis-28382	171	48	scores	score	NOUN
bracis-28382	171	49	and	and	CCONJ
bracis-28382	171	50	mcc	mcc	NOUN
bracis-28382	171	51	values	value	NOUN
bracis-28382	171	52	.	.	PUNCT
bracis-28382	172	1	the	the	DET
bracis-28382	172	2	presence	presence	NOUN
bracis-28382	172	3	of	of	ADP
bracis-28382	172	4	\(m_1^b\	\(m_1^b\	NOUN
bracis-28382	172	5	)	)	PUNCT
bracis-28382	172	6	and	and	CCONJ
bracis-28382	172	7	\(m_5^b\	\(m_5^b\	VERB
bracis-28382	172	8	)	)	PUNCT
bracis-28382	172	9	does	do	AUX
bracis-28382	172	10	not	not	PART
bracis-28382	172	11	contribute	contribute	VERB
bracis-28382	172	12	significantly	significantly	ADV
bracis-28382	172	13	to	to	ADP
bracis-28382	172	14	the	the	DET
bracis-28382	172	15	overall	overall	ADJ
bracis-28382	172	16	performance	performance	NOUN
bracis-28382	172	17	improvement	improvement	NOUN
bracis-28382	172	18	.	.	PUNCT
bracis-28382	173	1	table	table	NOUN
bracis-28382	173	2	5	5	NUM
bracis-28382	173	3	.	.	PUNCT
bracis-28382	173	4	fusion	fusion	NOUN
bracis-28382	173	5	with	with	ADP
bracis-28382	173	6	trained	train	VERB
bracis-28382	173	7	cnn	cnn	PROPN
bracis-28382	173	8	models.full	models.full	PROPN
bracis-28382	173	9	size	size	NOUN
bracis-28382	173	10	table	table	NOUN
bracis-28382	173	11	4.4	4.4	NUM
bracis-28382	173	12	resource	resource	NOUN
bracis-28382	173	13	consumption	consumption	NOUN
bracis-28382	173	14	analysis	analysis	NOUN
bracis-28382	173	15	for	for	ADP
bracis-28382	173	16	 	 	SPACE
bracis-28382	173	17	cnn	cnn	PROPN
bracis-28382	173	18	models	model	NOUN
bracis-28382	173	19	in	in	ADP
bracis-28382	173	20	this	this	DET
bracis-28382	173	21	section	section	NOUN
bracis-28382	173	22	,	,	PUNCT
bracis-28382	173	23	we	we	PRON
bracis-28382	173	24	present	present	VERB
bracis-28382	173	25	table	table	NOUN
bracis-28382	173	26	 	 	SPACE
bracis-28382	173	27	6	6	NUM
bracis-28382	173	28	,	,	PUNCT
bracis-28382	173	29	which	which	PRON
bracis-28382	173	30	provides	provide	VERB
bracis-28382	173	31	details	detail	NOUN
bracis-28382	173	32	such	such	ADJ
bracis-28382	173	33	as	as	ADP
bracis-28382	173	34	the	the	DET
bracis-28382	173	35	cnn	cnn	PROPN
bracis-28382	173	36	model	model	NOUN
bracis-28382	173	37	name	name	PROPN
bracis-28382	173	38	,	,	PUNCT
bracis-28382	173	39	gpu	gpu	NOUN
bracis-28382	173	40	model	model	NOUN
bracis-28382	173	41	used	use	VERB
bracis-28382	173	42	for	for	ADP
bracis-28382	173	43	execution	execution	NOUN
bracis-28382	173	44	,	,	PUNCT
bracis-28382	173	45	gpu	gpu	NOUN
bracis-28382	173	46	ram	ram	NOUN
bracis-28382	173	47	capacity	capacity	NOUN
bracis-28382	173	48	,	,	PUNCT
bracis-28382	173	49	execution	execution	NOUN
bracis-28382	173	50	time	time	NOUN
bracis-28382	173	51	in	in	ADP
bracis-28382	173	52	minutes	minute	NOUN
bracis-28382	173	53	,	,	PUNCT
bracis-28382	173	54	and	and	CCONJ
bracis-28382	173	55	the	the	DET
bracis-28382	173	56	number	number	NOUN
bracis-28382	173	57	of	of	ADP
bracis-28382	173	58	parameters	parameter	NOUN
bracis-28382	173	59	for	for	ADP
bracis-28382	173	60	each	each	DET
bracis-28382	173	61	model	model	NOUN
bracis-28382	173	62	.	.	PUNCT
bracis-28382	174	1	to	to	PART
bracis-28382	174	2	measure	measure	VERB
bracis-28382	174	3	the	the	DET
bracis-28382	174	4	execution	execution	NOUN
bracis-28382	174	5	time	time	NOUN
bracis-28382	174	6	and	and	CCONJ
bracis-28382	174	7	gpu	gpu	NOUN
bracis-28382	174	8	consumption	consumption	NOUN
bracis-28382	174	9	,	,	PUNCT
bracis-28382	174	10	the	the	DET
bracis-28382	174	11	timeit	timeit	NOUN
bracis-28382	174	12	module	module	NOUN
bracis-28382	174	13	and	and	CCONJ
bracis-28382	174	14	the	the	DET
bracis-28382	174	15	psutil	psutil	PROPN
bracis-28382	174	16	library	library	NOUN
bracis-28382	174	17	were	be	AUX
bracis-28382	174	18	used	use	VERB
bracis-28382	174	19	,	,	PUNCT
bracis-28382	174	20	respectively	respectively	ADV
bracis-28382	174	21	.	.	PUNCT
bracis-28382	175	1	all	all	DET
bracis-28382	175	2	network	network	NOUN
bracis-28382	175	3	models	model	NOUN
bracis-28382	175	4	,	,	PUNCT
bracis-28382	175	5	\(m_1\	\(m_1\	PROPN
bracis-28382	175	6	)	)	PUNCT
bracis-28382	175	7	to	to	ADP
bracis-28382	175	8	\(m_7\	\(m_7\	PROPN
bracis-28382	175	9	)	)	PUNCT
bracis-28382	175	10	,	,	PUNCT
bracis-28382	175	11	utilize	utilize	VERB
bracis-28382	175	12	the	the	DET
bracis-28382	175	13	tesla	tesla	PROPN
bracis-28382	175	14	v100	v100	PROPN
bracis-28382	175	15	-	-	PUNCT
bracis-28382	175	16	sxm2	sxm2	PROPN
bracis-28382	175	17	-	-	PUNCT
bracis-28382	175	18	16	16	NUM
bracis-28382	175	19	 	 	SPACE
bracis-28382	175	20	gb	gb	PROPN
bracis-28382	175	21	gpu	gpu	PROPN
bracis-28382	175	22	model	model	NOUN
bracis-28382	175	23	.	.	PUNCT
bracis-28382	176	1	additionally	additionally	ADV
bracis-28382	176	2	,	,	PUNCT
bracis-28382	176	3	the	the	DET
bracis-28382	176	4	\(f_1^{b*}\	\(f_1^{b*}\	NOUN
bracis-28382	176	5	)	)	PUNCT
bracis-28382	176	6	model	model	NOUN
bracis-28382	176	7	[	[	X
bracis-28382	176	8	2	2	NUM
bracis-28382	176	9	]	]	PUNCT
bracis-28382	176	10	employs	employ	VERB
bracis-28382	176	11	the	the	DET
bracis-28382	176	12	tesla	tesla	PROPN
bracis-28382	176	13	v100	v100	PROPN
bracis-28382	176	14	-	-	PUNCT
bracis-28382	176	15	smx2	smx2	PROPN
bracis-28382	176	16	-	-	PUNCT
bracis-28382	176	17	16	16	NUM
bracis-28382	176	18	 	 	SPACE
bracis-28382	176	19	gb	gb	NOUN
bracis-28382	176	20	,	,	PUNCT
bracis-28382	176	21	while	while	SCONJ
bracis-28382	176	22	fusion	fusion	NOUN
bracis-28382	176	23	models	model	NOUN
bracis-28382	176	24	\(f_2^b\	\(f_2^b\	VERB
bracis-28382	176	25	)	)	PUNCT
bracis-28382	176	26	to	to	PART
bracis-28382	176	27	\(f_7^b\	\(f_7^b\	VERB
bracis-28382	176	28	)	)	PUNCT
bracis-28382	176	29	,	,	PUNCT
bracis-28382	176	30	for	for	ADP
bracis-28382	176	31	table	table	NOUN
bracis-28382	176	32	 	 	SPACE
bracis-28382	176	33	5	5	NUM
bracis-28382	176	34	and	and	CCONJ
bracis-28382	176	35	table	table	NOUN
bracis-28382	176	36	 	 	SPACE
bracis-28382	176	37	6	6	NUM
bracis-28382	176	38	,	,	PUNCT
bracis-28382	176	39	utilize	utilize	VERB
bracis-28382	176	40	the	the	DET
bracis-28382	176	41	nvidia	nvidia	PROPN
bracis-28382	176	42	a100	a100	PROPN
bracis-28382	176	43	-	-	PUNCT
bracis-28382	176	44	sxm-40	sxm-40	NOUN
bracis-28382	176	45	 	 	SPACE
bracis-28382	176	46	gb	gb	PROPN
bracis-28382	176	47	gpu	gpu	PROPN
bracis-28382	176	48	model	model	NOUN
bracis-28382	176	49	.	.	PUNCT
bracis-28382	177	1	these	these	DET
bracis-28382	177	2	data	datum	NOUN
bracis-28382	177	3	allow	allow	VERB
bracis-28382	177	4	us	we	PRON
bracis-28382	177	5	to	to	PART
bracis-28382	177	6	analyze	analyze	VERB
bracis-28382	177	7	the	the	DET
bracis-28382	177	8	computational	computational	ADJ
bracis-28382	177	9	cost	cost	NOUN
bracis-28382	177	10	associated	associate	VERB
bracis-28382	177	11	with	with	ADP
bracis-28382	177	12	achieving	achieve	VERB
bracis-28382	177	13	the	the	DET
bracis-28382	177	14	results	result	NOUN
bracis-28382	177	15	presented	present	VERB
bracis-28382	177	16	in	in	ADP
bracis-28382	177	17	table	table	NOUN
bracis-28382	177	18	 	 	SPACE
bracis-28382	177	19	3	3	NUM
bracis-28382	177	20	,	,	PUNCT
bracis-28382	177	21	table	table	NOUN
bracis-28382	177	22	 	 	SPACE
bracis-28382	177	23	4	4	NUM
bracis-28382	177	24	and	and	CCONJ
bracis-28382	177	25	table	table	NOUN
bracis-28382	177	26	 	 	SPACE
bracis-28382	177	27	5	5	NUM
bracis-28382	177	28	.	.	PUNCT
bracis-28382	178	1	in	in	ADP
bracis-28382	178	2	table	table	NOUN
bracis-28382	178	3	 	 	SPACE
bracis-28382	178	4	3	3	NUM
bracis-28382	178	5	,	,	PUNCT
bracis-28382	178	6	the	the	DET
bracis-28382	178	7	\(f_{1}\	\(f_{1}\	NOUN
bracis-28382	178	8	)	)	PUNCT
bracis-28382	178	9	result	result	NOUN
bracis-28382	178	10	,	,	PUNCT
bracis-28382	178	11	including	include	VERB
bracis-28382	178	12	\(m_{2}\	\(m_{2}\	NOUN
bracis-28382	178	13	)	)	PUNCT
bracis-28382	178	14	,	,	PUNCT
bracis-28382	178	15	\(m_{4}\	\(m_{4}\	NOUN
bracis-28382	178	16	)	)	PUNCT
bracis-28382	178	17	,	,	PUNCT
bracis-28382	178	18	\(m_{6}\	\(m_{6}\	PROPN
bracis-28382	178	19	)	)	PUNCT
bracis-28382	178	20	,	,	PUNCT
bracis-28382	178	21	and	and	CCONJ
bracis-28382	178	22	\(m_{7}\	\(m_{7}\	NOUN
bracis-28382	178	23	)	)	PUNCT
bracis-28382	178	24	,	,	PUNCT
bracis-28382	178	25	achieved	achieve	VERB
bracis-28382	178	26	the	the	DET
bracis-28382	178	27	highest	high	ADJ
bracis-28382	178	28	f1	f1	NOUN
bracis-28382	178	29	-	-	PUNCT
bracis-28382	178	30	score	score	NOUN
bracis-28382	178	31	(	(	PUNCT
bracis-28382	178	32	0.91014	0.91014	NUM
bracis-28382	178	33	)	)	PUNCT
bracis-28382	178	34	with	with	ADP
bracis-28382	178	35	the	the	DET
bracis-28382	178	36	least	least	ADJ
bracis-28382	178	37	number	number	NOUN
bracis-28382	178	38	of	of	ADP
bracis-28382	178	39	models	model	NOUN
bracis-28382	178	40	used	use	VERB
bracis-28382	178	41	for	for	ADP
bracis-28382	178	42	micro	micro	NOUN
bracis-28382	178	43	-	-	NOUN
bracis-28382	178	44	average	average	ADJ
bracis-28382	178	45	.	.	PUNCT
bracis-28382	179	1	the	the	DET
bracis-28382	179	2	models	model	NOUN
bracis-28382	179	3	were	be	AUX
bracis-28382	179	4	executed	execute	VERB
bracis-28382	179	5	individually	individually	ADV
bracis-28382	179	6	on	on	ADP
bracis-28382	179	7	the	the	DET
bracis-28382	179	8	gpu	gpu	NOUN
bracis-28382	179	9	,	,	PUNCT
bracis-28382	179	10	resulting	result	VERB
bracis-28382	179	11	in	in	ADP
bracis-28382	179	12	a	a	DET
bracis-28382	179	13	total	total	ADJ
bracis-28382	179	14	gpu	gpu	NOUN
bracis-28382	179	15	consumption	consumption	NOUN
bracis-28382	179	16	equal	equal	ADJ
bracis-28382	179	17	to	to	ADP
bracis-28382	179	18	the	the	DET
bracis-28382	179	19	highest	high	ADJ
bracis-28382	179	20	consumption	consumption	NOUN
bracis-28382	179	21	among	among	ADP
bracis-28382	179	22	the	the	DET
bracis-28382	179	23	individual	individual	ADJ
bracis-28382	179	24	models	model	NOUN
bracis-28382	179	25	,	,	PUNCT
bracis-28382	179	26	which	which	PRON
bracis-28382	179	27	is	be	AUX
bracis-28382	179	28	10	10	NUM
bracis-28382	179	29	 	 	SPACE
bracis-28382	179	30	gb	gb	NOUN
bracis-28382	179	31	for	for	ADP
bracis-28382	179	32	\(m_{2}\	\(m_{2}\	NOUN
bracis-28382	179	33	)	)	PUNCT
bracis-28382	179	34	.	.	PUNCT
bracis-28382	180	1	thus	thus	ADV
bracis-28382	180	2	,	,	PUNCT
bracis-28382	180	3	the	the	DET
bracis-28382	180	4	proposed	propose	VERB
bracis-28382	180	5	ensemble	ensemble	ADJ
bracis-28382	180	6	\(f_{1}\	\(f_{1}\	NOUN
bracis-28382	180	7	)	)	PUNCT
bracis-28382	180	8	with	with	ADP
bracis-28382	180	9	cnn	cnn	PROPN
bracis-28382	180	10	model	model	NOUN
bracis-28382	180	11	averaging	averaging	NOUN
bracis-28382	180	12	has	have	VERB
bracis-28382	180	13	a	a	DET
bracis-28382	180	14	maximum	maximum	ADJ
bracis-28382	180	15	gpu	gpu	NOUN
bracis-28382	180	16	consumption	consumption	NOUN
bracis-28382	180	17	of	of	ADP
bracis-28382	180	18	10	10	NUM
bracis-28382	180	19	 	 	SPACE
bracis-28382	180	20	gb	gb	NOUN
bracis-28382	180	21	.	.	PUNCT
bracis-28382	181	1	in	in	ADP
bracis-28382	181	2	table	table	NOUN
bracis-28382	181	3	 	 	SPACE
bracis-28382	181	4	4	4	NUM
bracis-28382	181	5	,	,	PUNCT
bracis-28382	181	6	using	use	VERB
bracis-28382	181	7	the	the	DET
bracis-28382	181	8	technique	technique	NOUN
bracis-28382	181	9	of	of	ADP
bracis-28382	181	10	fusion	fusion	NOUN
bracis-28382	181	11	by	by	ADP
bracis-28382	181	12	vote	vote	NOUN
bracis-28382	181	13	,	,	PUNCT
bracis-28382	181	14	the	the	DET
bracis-28382	181	15	ensemble	ensemble	ADJ
bracis-28382	181	16	\(f_{2}\	\(f_{2}\	NOUN
bracis-28382	181	17	)	)	PUNCT
bracis-28382	181	18	achieved	achieve	VERB
bracis-28382	181	19	the	the	DET
bracis-28382	181	20	highest	high	ADJ
bracis-28382	181	21	f1	f1	NOUN
bracis-28382	181	22	-	-	PUNCT
bracis-28382	181	23	score	score	NOUN
bracis-28382	181	24	of	of	ADP
bracis-28382	181	25	0.90892	0.90892	NUM
bracis-28382	181	26	for	for	ADP
bracis-28382	181	27	micro	micro	ADJ
bracis-28382	181	28	and	and	CCONJ
bracis-28382	181	29	f1	f1	NOUN
bracis-28382	181	30	-	-	PUNCT
bracis-28382	181	31	score	score	NOUN
bracis-28382	181	32	of	of	ADP
bracis-28382	181	33	0.61582	0.61582	NUM
bracis-28382	181	34	for	for	ADP
bracis-28382	181	35	macro	macro	NOUN
bracis-28382	181	36	.	.	PUNCT
bracis-28382	182	1	the	the	DET
bracis-28382	182	2	set	set	NOUN
bracis-28382	182	3	\(f_{2}\	\(f_{2}\	NOUN
bracis-28382	182	4	)	)	PUNCT
bracis-28382	182	5	consisted	consist	VERB
bracis-28382	182	6	of	of	ADP
bracis-28382	182	7	models	model	NOUN
bracis-28382	182	8	\(m_{1}\	\(m_{1}\	ADV
bracis-28382	182	9	)	)	PUNCT
bracis-28382	182	10	,	,	PUNCT
bracis-28382	182	11	\(m_{2}\	\(m_{2}\	NUM
bracis-28382	182	12	)	)	PUNCT
bracis-28382	182	13	,	,	PUNCT
bracis-28382	182	14	\(m_{3}\	\(m_{3}\	X
bracis-28382	182	15	)	)	PUNCT
bracis-28382	182	16	,	,	PUNCT
bracis-28382	182	17	\(m_{4}\	\(m_{4}\	NOUN
bracis-28382	182	18	)	)	PUNCT
bracis-28382	182	19	and	and	CCONJ
bracis-28382	182	20	\(m_{7}\	\(m_{7}\	NOUN
bracis-28382	182	21	)	)	PUNCT
bracis-28382	182	22	.	.	PUNCT
bracis-28382	183	1	the	the	DET
bracis-28382	183	2	gpu	gpu	NOUN
bracis-28382	183	3	consumption	consumption	NOUN
bracis-28382	183	4	for	for	ADP
bracis-28382	183	5	the	the	DET
bracis-28382	183	6	set	set	NOUN
bracis-28382	183	7	\(f_{1}\	\(f_{1}\	NOUN
bracis-28382	183	8	)	)	PUNCT
bracis-28382	183	9	corresponds	correspond	VERB
bracis-28382	183	10	to	to	ADP
bracis-28382	183	11	that	that	PRON
bracis-28382	183	12	of	of	ADP
bracis-28382	183	13	the	the	DET
bracis-28382	183	14	model	model	NOUN
bracis-28382	183	15	\(m_{2}\	\(m_{2}\	PROPN
bracis-28382	183	16	)	)	PUNCT
bracis-28382	183	17	,	,	PUNCT
bracis-28382	183	18	which	which	PRON
bracis-28382	183	19	is	be	AUX
bracis-28382	183	20	10	10	NUM
bracis-28382	183	21	 	 	SPACE
bracis-28382	183	22	gb	gb	NOUN
bracis-28382	183	23	.	.	PUNCT
bracis-28382	183	24	table	table	NOUN
bracis-28382	183	25	6	6	NUM
bracis-28382	183	26	.	.	PUNCT
bracis-28382	183	27	resource	resource	NOUN
bracis-28382	183	28	consumption	consumption	NOUN
bracis-28382	183	29	for	for	ADP
bracis-28382	183	30	network	network	NOUN
bracis-28382	183	31	models.full	models.full	NOUN
bracis-28382	183	32	size	size	NOUN
bracis-28382	183	33	table	table	NOUN
bracis-28382	183	34	in	in	ADP
bracis-28382	183	35	fusion	fusion	NOUN
bracis-28382	183	36	with	with	ADP
bracis-28382	183	37	optimal	optimal	ADJ
bracis-28382	183	38	training	training	NOUN
bracis-28382	183	39	cnn	cnn	PROPN
bracis-28382	183	40	models	model	NOUN
bracis-28382	183	41	,	,	PUNCT
bracis-28382	183	42	as	as	SCONJ
bracis-28382	183	43	shown	show	VERB
bracis-28382	183	44	in	in	ADP
bracis-28382	183	45	table	table	NOUN
bracis-28382	183	46	 	 	SPACE
bracis-28382	183	47	5	5	NUM
bracis-28382	183	48	,	,	PUNCT
bracis-28382	183	49	for	for	ADP
bracis-28382	183	50	\(f_1^{b*}\	\(f_1^{b*}\	NOUN
bracis-28382	183	51	)	)	PUNCT
bracis-28382	183	52	,	,	PUNCT
bracis-28382	183	53	the	the	DET
bracis-28382	183	54	f1	f1	NOUN
bracis-28382	183	55	-	-	PUNCT
bracis-28382	183	56	score	score	NOUN
bracis-28382	183	57	is	be	AUX
bracis-28382	183	58	0.910	0.910	NUM
bracis-28382	183	59	,	,	PUNCT
bracis-28382	183	60	which	which	PRON
bracis-28382	183	61	matches	match	VERB
bracis-28382	183	62	our	our	PRON
bracis-28382	183	63	proposal	proposal	NOUN
bracis-28382	183	64	in	in	ADP
bracis-28382	183	65	table	table	NOUN
bracis-28382	183	66	 	 	SPACE
bracis-28382	183	67	3	3	NUM
bracis-28382	183	68	.	.	PUNCT
bracis-28382	184	1	the	the	DET
bracis-28382	184	2	approach	approach	NOUN
bracis-28382	184	3	in	in	ADP
bracis-28382	184	4	[	[	X
bracis-28382	184	5	2	2	NUM
bracis-28382	184	6	]	]	PUNCT
bracis-28382	184	7	,	,	PUNCT
bracis-28382	184	8	\(f_1^{b*}\	\(f_1^{b*}\	NOUN
bracis-28382	184	9	)	)	PUNCT
bracis-28382	184	10	,	,	PUNCT
bracis-28382	184	11	requires	require	VERB
bracis-28382	184	12	15.8	15.8	NUM
bracis-28382	184	13	 	 	SPACE
bracis-28382	184	14	gb	gb	NOUN
bracis-28382	184	15	of	of	ADP
bracis-28382	184	16	gpu	gpu	PROPN
bracis-28382	184	17	,	,	PUNCT
bracis-28382	184	18	as	as	SCONJ
bracis-28382	184	19	the	the	DET
bracis-28382	184	20	best	good	ADJ
bracis-28382	184	21	models	model	NOUN
bracis-28382	184	22	\(m_{2}^b\	\(m_{2}^b\	PROPN
bracis-28382	184	23	)	)	PUNCT
bracis-28382	184	24	and	and	CCONJ
bracis-28382	184	25	\(m_{6}^b\	\(m_{6}^b\	PROPN
bracis-28382	184	26	)	)	PUNCT
bracis-28382	184	27	are	be	AUX
bracis-28382	184	28	trained	train	VERB
bracis-28382	184	29	together	together	ADV
bracis-28382	184	30	.	.	PUNCT
bracis-28382	185	1	building	build	VERB
bracis-28382	185	2	upon	upon	SCONJ
bracis-28382	185	3	the	the	DET
bracis-28382	185	4	combination	combination	NOUN
bracis-28382	185	5	of	of	ADP
bracis-28382	185	6	models	model	NOUN
bracis-28382	185	7	proposed	propose	VERB
bracis-28382	185	8	in	in	ADP
bracis-28382	185	9	[	[	X
bracis-28382	185	10	2	2	NUM
bracis-28382	185	11	]	]	PUNCT
bracis-28382	185	12	,	,	PUNCT
bracis-28382	185	13	we	we	PRON
bracis-28382	185	14	introduce	introduce	VERB
bracis-28382	185	15	ensembles	ensemble	NOUN
bracis-28382	185	16	\(f_{2}^b\	\(f_{2}^b\	NOUN
bracis-28382	185	17	)	)	PUNCT
bracis-28382	185	18	to	to	ADP
bracis-28382	185	19	\(f_{7}^b\	\(f_{7}^b\	PROPN
bracis-28382	185	20	)	)	PUNCT
bracis-28382	185	21	,	,	PUNCT
bracis-28382	185	22	with	with	ADP
bracis-28382	185	23	\(f_{4}^b\	\(f_{4}^b\	PROPN
bracis-28382	185	24	)	)	PUNCT
bracis-28382	185	25	achieving	achieve	VERB
bracis-28382	185	26	the	the	DET
bracis-28382	185	27	best	good	ADJ
bracis-28382	185	28	result	result	NOUN
bracis-28382	185	29	.	.	PUNCT
bracis-28382	186	1	figure	figure	NOUN
bracis-28382	186	2	 	 	SPACE
bracis-28382	186	3	6	6	NUM
bracis-28382	186	4	depicts	depict	VERB
bracis-28382	186	5	a	a	DET
bracis-28382	186	6	bubble	bubble	NOUN
bracis-28382	186	7	chart	chart	NOUN
bracis-28382	186	8	illustrating	illustrate	VERB
bracis-28382	186	9	that	that	SCONJ
bracis-28382	186	10	we	we	PRON
bracis-28382	186	11	have	have	AUX
bracis-28382	186	12	achieved	achieve	VERB
bracis-28382	186	13	comparable	comparable	ADJ
bracis-28382	186	14	results	result	NOUN
bracis-28382	186	15	(	(	PUNCT
bracis-28382	186	16	indicated	indicate	VERB
bracis-28382	186	17	by	by	ADP
bracis-28382	186	18	the	the	DET
bracis-28382	186	19	blue	blue	ADJ
bracis-28382	186	20	and	and	CCONJ
bracis-28382	186	21	red	red	ADJ
bracis-28382	186	22	bubbles	bubble	NOUN
bracis-28382	186	23	)	)	PUNCT
bracis-28382	186	24	when	when	SCONJ
bracis-28382	186	25	compared	compare	VERB
bracis-28382	186	26	to	to	ADP
bracis-28382	186	27	the	the	DET
bracis-28382	186	28	fusion	fusion	NOUN
bracis-28382	186	29	model	model	NOUN
bracis-28382	186	30	\(f_1^{b*}\	\(f_1^{b*}\	NOUN
bracis-28382	186	31	)	)	PUNCT
bracis-28382	186	32	in	in	ADP
bracis-28382	186	33	table	table	NOUN
bracis-28382	186	34	 	 	SPACE
bracis-28382	186	35	5	5	NUM
bracis-28382	186	36	(	(	PUNCT
bracis-28382	186	37	green	green	ADJ
bracis-28382	186	38	bubble	bubble	NOUN
bracis-28382	186	39	)	)	PUNCT
bracis-28382	186	40	,	,	PUNCT
bracis-28382	186	41	as	as	SCONJ
bracis-28382	186	42	presented	present	VERB
bracis-28382	186	43	in	in	ADP
bracis-28382	186	44	[	[	X
bracis-28382	186	45	2	2	NUM
bracis-28382	186	46	]	]	PUNCT
bracis-28382	186	47	.	.	PUNCT
bracis-28382	187	1	our	our	PRON
bracis-28382	187	2	proposal	proposal	NOUN
bracis-28382	187	3	\(f_{1}\	\(f_{1}\	VERB
bracis-28382	187	4	)	)	PUNCT
bracis-28382	187	5	in	in	ADP
bracis-28382	187	6	table	table	NOUN
bracis-28382	187	7	 	 	SPACE
bracis-28382	187	8	3	3	NUM
bracis-28382	187	9	attained	attain	VERB
bracis-28382	187	10	the	the	DET
bracis-28382	187	11	same	same	ADJ
bracis-28382	187	12	results	result	NOUN
bracis-28382	187	13	while	while	SCONJ
bracis-28382	187	14	utilizing	utilize	VERB
bracis-28382	187	15	10	10	NUM
bracis-28382	187	16	 	 	SPACE
bracis-28382	187	17	gb	gb	NOUN
bracis-28382	187	18	of	of	ADP
bracis-28382	187	19	gpu	gpu	PROPN
bracis-28382	187	20	,	,	PUNCT
bracis-28382	187	21	which	which	PRON
bracis-28382	187	22	is	be	AUX
bracis-28382	187	23	\(36.7\%\	\(36.7\%\	NOUN
bracis-28382	187	24	)	)	PUNCT
bracis-28382	187	25	less	less	ADJ
bracis-28382	187	26	than	than	ADP
bracis-28382	187	27	the	the	DET
bracis-28382	187	28	consumption	consumption	NOUN
bracis-28382	187	29	of	of	ADP
bracis-28382	187	30	[	[	X
bracis-28382	187	31	2	2	NUM
bracis-28382	187	32	]	]	PUNCT
bracis-28382	187	33	with	with	ADP
bracis-28382	187	34	15.8	15.8	NUM
bracis-28382	187	35	 	 	SPACE
bracis-28382	187	36	gb	gb	NOUN
bracis-28382	187	37	gpu	gpu	PROPN
bracis-28382	187	38	.	.	PUNCT
bracis-28382	188	1	the	the	DET
bracis-28382	188	2	purple	purple	ADJ
bracis-28382	188	3	bubbles	bubble	NOUN
bracis-28382	188	4	demonstrate	demonstrate	VERB
bracis-28382	188	5	that	that	SCONJ
bracis-28382	188	6	our	our	PRON
bracis-28382	188	7	ensemble	ensemble	ADJ
bracis-28382	188	8	architectures	architecture	NOUN
bracis-28382	188	9	using	use	VERB
bracis-28382	188	10	fusion	fusion	NOUN
bracis-28382	188	11	with	with	ADP
bracis-28382	188	12	optimal	optimal	ADJ
bracis-28382	188	13	training	training	NOUN
bracis-28382	188	14	cnn	cnn	PROPN
bracis-28382	188	15	models	model	NOUN
bracis-28382	188	16	obtain	obtain	VERB
bracis-28382	188	17	better	well	ADJ
bracis-28382	188	18	results	result	NOUN
bracis-28382	188	19	than	than	ADP
bracis-28382	188	20	[	[	X
bracis-28382	188	21	2	2	NUM
bracis-28382	188	22	]	]	PUNCT
bracis-28382	188	23	,	,	PUNCT
bracis-28382	188	24	albeit	albeit	SCONJ
bracis-28382	188	25	at	at	ADP
bracis-28382	188	26	a	a	DET
bracis-28382	188	27	higher	high	ADJ
bracis-28382	188	28	gpu	gpu	NOUN
bracis-28382	188	29	cost	cost	NOUN
bracis-28382	188	30	.	.	PUNCT
bracis-28382	189	1	fig	fig	NOUN
bracis-28382	189	2	.	.	PUNCT
bracis-28382	190	1	6	6	NUM
bracis-28382	190	2	.	.	X
bracis-28382	190	3	bubble	bubble	NOUN
bracis-28382	190	4	chart	chart	NOUN
bracis-28382	190	5	for	for	ADP
bracis-28382	190	6	resource	resource	NOUN
bracis-28382	190	7	consumption	consumption	NOUN
bracis-28382	190	8	analysis	analysis	NOUN
bracis-28382	190	9	and	and	CCONJ
bracis-28382	190	10	comparative	comparative	ADJ
bracis-28382	190	11	results	result	NOUN
bracis-28382	190	12	.	.	PUNCT
bracis-28382	191	1	the	the	DET
bracis-28382	191	2	diameter	diameter	NOUN
bracis-28382	191	3	of	of	ADP
bracis-28382	191	4	the	the	DET
bracis-28382	191	5	bubbles	bubble	NOUN
bracis-28382	191	6	is	be	AUX
bracis-28382	191	7	associated	associate	VERB
bracis-28382	191	8	with	with	ADP
bracis-28382	191	9	gpu	gpu	NOUN
bracis-28382	191	10	consumption	consumption	NOUN
bracis-28382	191	11	.	.	PUNCT
bracis-28382	192	1	(	(	PUNCT
bracis-28382	192	2	color	color	NOUN
bracis-28382	192	3	figure	figure	NOUN
bracis-28382	192	4	online	online	ADV
bracis-28382	192	5	)	)	PUNCT
bracis-28382	192	6	full	full	ADJ
bracis-28382	192	7	size	size	NOUN
bracis-28382	192	8	image	image	NOUN
bracis-28382	192	9	5	5	NUM
bracis-28382	192	10	conclusions	conclusion	NOUN
bracis-28382	192	11	in	in	ADP
bracis-28382	192	12	conclusion	conclusion	NOUN
bracis-28382	192	13	,	,	PUNCT
bracis-28382	192	14	to	to	PART
bracis-28382	192	15	aid	aid	VERB
bracis-28382	192	16	in	in	ADP
bracis-28382	192	17	the	the	DET
bracis-28382	192	18	diagnosis	diagnosis	NOUN
bracis-28382	192	19	of	of	ADP
bracis-28382	192	20	diseases	disease	NOUN
bracis-28382	192	21	of	of	ADP
bracis-28382	192	22	the	the	DET
bracis-28382	192	23	human	human	ADJ
bracis-28382	192	24	gastrointestinal	gastrointestinal	ADJ
bracis-28382	192	25	tract	tract	NOUN
bracis-28382	192	26	,	,	PUNCT
bracis-28382	192	27	through	through	ADP
bracis-28382	192	28	image	image	NOUN
bracis-28382	192	29	classification	classification	NOUN
bracis-28382	192	30	,	,	PUNCT
bracis-28382	192	31	our	our	PRON
bracis-28382	192	32	objective	objective	NOUN
bracis-28382	192	33	was	be	AUX
bracis-28382	192	34	to	to	PART
bracis-28382	192	35	propose	propose	VERB
bracis-28382	192	36	ensemble	ensemble	ADJ
bracis-28382	192	37	architectures	architecture	NOUN
bracis-28382	192	38	and	and	CCONJ
bracis-28382	192	39	efficient	efficient	ADJ
bracis-28382	192	40	fusion	fusion	NOUN
bracis-28382	192	41	techniques	technique	NOUN
bracis-28382	192	42	for	for	ADP
bracis-28382	192	43	cnns	cnn	NOUN
bracis-28382	192	44	,	,	PUNCT
bracis-28382	192	45	aiming	aim	VERB
bracis-28382	192	46	to	to	PART
bracis-28382	192	47	obtain	obtain	VERB
bracis-28382	192	48	better	well	ADJ
bracis-28382	192	49	results	result	NOUN
bracis-28382	192	50	than	than	ADP
bracis-28382	192	51	in	in	ADP
bracis-28382	192	52	the	the	DET
bracis-28382	192	53	literature	literature	NOUN
bracis-28382	192	54	and	and	CCONJ
bracis-28382	192	55	to	to	PART
bracis-28382	192	56	optimize	optimize	VERB
bracis-28382	192	57	computational	computational	ADJ
bracis-28382	192	58	resources	resource	NOUN
bracis-28382	192	59	.	.	PUNCT
bracis-28382	193	1	a	a	DET
bracis-28382	193	2	literature	literature	NOUN
bracis-28382	193	3	review	review	NOUN
bracis-28382	193	4	and	and	CCONJ
bracis-28382	193	5	extensive	extensive	ADJ
bracis-28382	193	6	experiments	experiment	NOUN
bracis-28382	193	7	were	be	AUX
bracis-28382	193	8	conducted	conduct	VERB
bracis-28382	193	9	to	to	PART
bracis-28382	193	10	validate	validate	VERB
bracis-28382	193	11	the	the	DET
bracis-28382	193	12	effectiveness	effectiveness	NOUN
bracis-28382	193	13	of	of	ADP
bracis-28382	193	14	the	the	DET
bracis-28382	193	15	proposed	propose	VERB
bracis-28382	193	16	approach	approach	NOUN
bracis-28382	193	17	.	.	PUNCT
bracis-28382	194	1	the	the	DET
bracis-28382	194	2	findings	finding	NOUN
bracis-28382	194	3	of	of	ADP
bracis-28382	194	4	this	this	DET
bracis-28382	194	5	study	study	NOUN
bracis-28382	194	6	highlight	highlight	VERB
bracis-28382	194	7	the	the	DET
bracis-28382	194	8	significant	significant	ADJ
bracis-28382	194	9	contribution	contribution	NOUN
bracis-28382	194	10	of	of	ADP
bracis-28382	194	11	densenet161	densenet161	PROPN
bracis-28382	194	12	and	and	CCONJ
bracis-28382	194	13	resnet152	resnet152	PROPN
bracis-28382	194	14	to	to	ADP
bracis-28382	194	15	the	the	DET
bracis-28382	194	16	fusion	fusion	NOUN
bracis-28382	194	17	process	process	NOUN
bracis-28382	194	18	in	in	ADP
bracis-28382	194	19	all	all	DET
bracis-28382	194	20	experiments	experiment	NOUN
bracis-28382	194	21	.	.	PUNCT
bracis-28382	195	1	furthermore	furthermore	ADV
bracis-28382	195	2	,	,	PUNCT
bracis-28382	195	3	our	our	PRON
bracis-28382	195	4	findings	finding	NOUN
bracis-28382	195	5	demonstrate	demonstrate	VERB
bracis-28382	195	6	a	a	DET
bracis-28382	195	7	similar	similar	ADJ
bracis-28382	195	8	level	level	NOUN
bracis-28382	195	9	of	of	ADP
bracis-28382	195	10	performance	performance	NOUN
bracis-28382	195	11	compared	compare	VERB
bracis-28382	195	12	to	to	ADP
bracis-28382	195	13	the	the	DET
bracis-28382	195	14	previous	previous	ADJ
bracis-28382	195	15	model	model	NOUN
bracis-28382	195	16	,	,	PUNCT
bracis-28382	195	17	as	as	SCONJ
bracis-28382	195	18	indicated	indicate	VERB
bracis-28382	195	19	by	by	ADP
bracis-28382	195	20	an	an	DET
bracis-28382	195	21	f1	f1	NOUN
bracis-28382	195	22	-	-	PUNCT
bracis-28382	195	23	score	score	NOUN
bracis-28382	195	24	of	of	ADP
bracis-28382	195	25	0.910	0.910	NUM
bracis-28382	195	26	and	and	CCONJ
bracis-28382	195	27	mcc	mcc	NOUN
bracis-28382	195	28	of	of	ADP
bracis-28382	195	29	0.902	0.902	NUM
bracis-28382	195	30	.	.	PUNCT
bracis-28382	196	1	remarkably	remarkably	ADV
bracis-28382	196	2	,	,	PUNCT
bracis-28382	196	3	our	our	PRON
bracis-28382	196	4	approach	approach	NOUN
bracis-28382	196	5	achieves	achieve	VERB
bracis-28382	196	6	this	this	DET
bracis-28382	196	7	performance	performance	NOUN
bracis-28382	196	8	using	use	VERB
bracis-28382	196	9	just	just	ADV
bracis-28382	196	10	10	10	NUM
bracis-28382	196	11	 	 	SPACE
bracis-28382	196	12	gb	gb	NOUN
bracis-28382	196	13	of	of	ADP
bracis-28382	196	14	gpu	gpu	NOUN
bracis-28382	196	15	ram	ram	NOUN
bracis-28382	196	16	,	,	PUNCT
bracis-28382	196	17	in	in	ADP
bracis-28382	196	18	contrast	contrast	NOUN
bracis-28382	196	19	to	to	ADP
bracis-28382	196	20	the	the	DET
bracis-28382	196	21	previous	previous	ADJ
bracis-28382	196	22	model	model	NOUN
bracis-28382	196	23	’s	’s	PART
bracis-28382	196	24	requirement	requirement	NOUN
bracis-28382	196	25	of	of	ADP
bracis-28382	196	26	15.8	15.8	NUM
bracis-28382	196	27	 	 	SPACE
bracis-28382	196	28	gb	gb	NOUN
bracis-28382	196	29	.	.	PUNCT
bracis-28382	197	1	we	we	PRON
bracis-28382	197	2	were	be	AUX
bracis-28382	197	3	able	able	ADJ
bracis-28382	197	4	to	to	PART
bracis-28382	197	5	achieve	achieve	VERB
bracis-28382	197	6	a	a	DET
bracis-28382	197	7	minimally	minimally	ADV
bracis-28382	197	8	higher	high	ADJ
bracis-28382	197	9	f1	f1	NOUN
bracis-28382	197	10	value	value	NOUN
bracis-28382	197	11	of	of	ADP
bracis-28382	197	12	0.913	0.913	NUM
bracis-28382	197	13	and	and	CCONJ
bracis-28382	197	14	mcc	mcc	NOUN
bracis-28382	197	15	of	of	ADP
bracis-28382	197	16	0.905	0.905	NUM
bracis-28382	197	17	,	,	PUNCT
bracis-28382	197	18	but	but	CCONJ
bracis-28382	197	19	using	use	VERB
bracis-28382	197	20	24.7	24.7	NUM
bracis-28382	197	21	 	 	SPACE
bracis-28382	197	22	gb	gb	NOUN
bracis-28382	197	23	of	of	ADP
bracis-28382	197	24	gpu	gpu	NOUN
bracis-28382	197	25	ram	ram	NOUN
bracis-28382	197	26	.	.	PUNCT
bracis-28382	198	1	these	these	DET
bracis-28382	198	2	findings	finding	NOUN
bracis-28382	198	3	contribute	contribute	VERB
bracis-28382	198	4	to	to	ADP
bracis-28382	198	5	our	our	PRON
bracis-28382	198	6	understanding	understanding	NOUN
bracis-28382	198	7	of	of	ADP
bracis-28382	198	8	individual	individual	ADJ
bracis-28382	198	9	model	model	NOUN
bracis-28382	198	10	performance	performance	NOUN
bracis-28382	198	11	,	,	PUNCT
bracis-28382	198	12	fusion	fusion	NOUN
bracis-28382	198	13	techniques	technique	NOUN
bracis-28382	198	14	,	,	PUNCT
bracis-28382	198	15	and	and	CCONJ
bracis-28382	198	16	resource	resource	NOUN
bracis-28382	198	17	utilization	utilization	NOUN
bracis-28382	198	18	,	,	PUNCT
bracis-28382	198	19	paving	pave	VERB
bracis-28382	198	20	the	the	DET
bracis-28382	198	21	way	way	NOUN
bracis-28382	198	22	for	for	ADP
bracis-28382	198	23	the	the	DET
bracis-28382	198	24	design	design	NOUN
bracis-28382	198	25	and	and	CCONJ
bracis-28382	198	26	implementation	implementation	NOUN
bracis-28382	198	27	of	of	ADP
bracis-28382	198	28	more	more	ADV
bracis-28382	198	29	efficient	efficient	ADJ
bracis-28382	198	30	and	and	CCONJ
bracis-28382	198	31	effective	effective	ADJ
bracis-28382	198	32	deep	deep	ADJ
bracis-28382	198	33	learning	learning	NOUN
bracis-28382	198	34	-	-	PUNCT
bracis-28382	198	35	based	base	VERB
bracis-28382	198	36	systems	system	NOUN
bracis-28382	198	37	in	in	ADP
bracis-28382	198	38	endoscopic	endoscopic	ADJ
bracis-28382	198	39	scoring	scoring	NOUN
bracis-28382	198	40	.	.	PUNCT
bracis-28382	199	1	the	the	DET
bracis-28382	199	2	main	main	ADJ
bracis-28382	199	3	challenge	challenge	NOUN
bracis-28382	199	4	was	be	AUX
bracis-28382	199	5	accessing	access	VERB
bracis-28382	199	6	sufficient	sufficient	ADJ
bracis-28382	199	7	computational	computational	ADJ
bracis-28382	199	8	resources	resource	NOUN
bracis-28382	199	9	.	.	PUNCT
bracis-28382	200	1	future	future	ADJ
bracis-28382	200	2	research	research	NOUN
bracis-28382	200	3	should	should	AUX
bracis-28382	200	4	explore	explore	VERB
bracis-28382	200	5	model	model	NOUN
bracis-28382	200	6	compression	compression	NOUN
bracis-28382	200	7	techniques	technique	NOUN
bracis-28382	200	8	to	to	PART
bracis-28382	200	9	reduce	reduce	VERB
bracis-28382	200	10	computational	computational	ADJ
bracis-28382	200	11	requirements	requirement	NOUN
bracis-28382	200	12	.	.	PUNCT
bracis-28382	201	1	additionally	additionally	ADV
bracis-28382	201	2	,	,	PUNCT
bracis-28382	201	3	further	further	ADJ
bracis-28382	201	4	experiments	experiment	NOUN
bracis-28382	201	5	and	and	CCONJ
bracis-28382	201	6	analysis	analysis	NOUN
bracis-28382	201	7	are	be	AUX
bracis-28382	201	8	needed	need	VERB
bracis-28382	201	9	to	to	PART
bracis-28382	201	10	identify	identify	VERB
bracis-28382	201	11	optimal	optimal	ADJ
bracis-28382	201	12	model	model	NOUN
bracis-28382	201	13	combinations	combination	NOUN
bracis-28382	201	14	and	and	CCONJ
bracis-28382	201	15	refine	refine	VERB
bracis-28382	201	16	the	the	DET
bracis-28382	201	17	fusion	fusion	NOUN
bracis-28382	201	18	process	process	NOUN
bracis-28382	201	19	.	.	PUNCT
bracis-28382	202	1	evaluating	evaluate	VERB
bracis-28382	202	2	fusion	fusion	NOUN
bracis-28382	202	3	alternatives	alternative	NOUN
bracis-28382	202	4	on	on	ADP
bracis-28382	202	5	different	different	ADJ
bracis-28382	202	6	datasets	dataset	NOUN
bracis-28382	202	7	is	be	AUX
bracis-28382	202	8	crucial	crucial	ADJ
bracis-28382	202	9	for	for	ADP
bracis-28382	202	10	assessing	assess	VERB
bracis-28382	202	11	performance	performance	NOUN
bracis-28382	202	12	and	and	CCONJ
bracis-28382	202	13	generalizability	generalizability	NOUN
bracis-28382	202	14	.	.	PUNCT
bracis-28382	203	1	notes	note	VERB
bracis-28382	203	2	1.available	1.available	NUM
bracis-28382	203	3	at	at	ADP
bracis-28382	203	4	:	:	PUNCT
bracis-28382	203	5	https://datasets.simula.no/hyper-kvasir	https://datasets.simula.no/hyper-kvasir	NOUN
bracis-28382	203	6	.	.	PUNCT
bracis-28382	204	1	2.available	2.available	NUM
bracis-28382	204	2	at	at	ADP
bracis-28382	204	3	:	:	PUNCT
bracis-28382	204	4	https://www.connectedpapers.com/main	https://www.connectedpapers.com/main	NUM
bracis-28382	204	5	.	.	PUNCT
bracis-28382	204	6	references	reference	NOUN
bracis-28382	204	7	ali	ali	PROPN
bracis-28382	204	8	,	,	PUNCT
bracis-28382	204	9	s.	s.	PROPN
bracis-28382	204	10	,	,	PUNCT
bracis-28382	204	11	et	et	PROPN
bracis-28382	204	12	al	al	PROPN
bracis-28382	204	13	.	.	PROPN
bracis-28382	204	14	:	:	PUNCT
bracis-28382	205	1	an	an	DET
bracis-28382	205	2	objective	objective	ADJ
bracis-28382	205	3	comparison	comparison	NOUN
bracis-28382	205	4	of	of	ADP
bracis-28382	205	5	detection	detection	NOUN
bracis-28382	205	6	and	and	CCONJ
bracis-28382	205	7	segmentation	segmentation	NOUN
bracis-28382	205	8	algorithms	algorithm	NOUN
bracis-28382	205	9	for	for	ADP
bracis-28382	205	10	artefacts	artefact	NOUN
bracis-28382	205	11	in	in	ADP
bracis-28382	205	12	clinical	clinical	ADJ
bracis-28382	205	13	endoscopy	endoscopy	NOUN
bracis-28382	205	14	.	.	PUNCT
bracis-28382	206	1	sci	sci	PROPN
bracis-28382	206	2	.	.	PUNCT
bracis-28382	206	3	rep	rep	PROPN
bracis-28382	206	4	.	.	PROPN
bracis-28382	206	5	10(1	10(1	NUM
bracis-28382	206	6	)	)	PUNCT
bracis-28382	206	7	,	,	PUNCT
bracis-28382	206	8	2748	2748	NUM
bracis-28382	206	9	(	(	PUNCT
bracis-28382	206	10	2020	2020	NUM
bracis-28382	206	11	)	)	PUNCT
bracis-28382	206	12	article	article	NOUN
bracis-28382	206	13	  	  	SPACE
bracis-28382	206	14	google	google	PROPN
bracis-28382	206	15	scholar	scholar	NOUN
bracis-28382	206	16	  	  	SPACE
bracis-28382	206	17	borgli	borgli	NOUN
bracis-28382	206	18	,	,	PUNCT
bracis-28382	206	19	h.	h.	PROPN
bracis-28382	206	20	,	,	PUNCT
bracis-28382	206	21	et	et	PROPN
bracis-28382	206	22	al	al	PROPN
bracis-28382	206	23	.	.	PROPN
bracis-28382	206	24	:	:	PUNCT
bracis-28382	207	1	hyperkvasir	hyperkvasir	PROPN
bracis-28382	207	2	,	,	PUNCT
bracis-28382	207	3	a	a	DET
bracis-28382	207	4	comprehensive	comprehensive	ADJ
bracis-28382	207	5	multi	multi	ADJ
bracis-28382	207	6	-	-	ADJ
bracis-28382	207	7	class	class	ADJ
bracis-28382	207	8	image	image	NOUN
bracis-28382	207	9	and	and	CCONJ
bracis-28382	207	10	video	video	NOUN
bracis-28382	207	11	dataset	dataset	NOUN
bracis-28382	207	12	for	for	ADP
bracis-28382	207	13	gastrointestinal	gastrointestinal	ADJ
bracis-28382	207	14	endoscopy	endoscopy	NOUN
bracis-28382	207	15	.	.	PUNCT
bracis-28382	208	1	sci	sci	PROPN
bracis-28382	208	2	.	.	PROPN
bracis-28382	208	3	data	data	PROPN
bracis-28382	208	4	7(1	7(1	NUM
bracis-28382	208	5	)	)	PUNCT
bracis-28382	208	6	,	,	PUNCT
bracis-28382	208	7	283	283	NUM
bracis-28382	208	8	(	(	PUNCT
bracis-28382	208	9	2020	2020	NUM
bracis-28382	208	10	)	)	PUNCT
bracis-28382	208	11	article	article	NOUN
bracis-28382	208	12	  	  	SPACE
bracis-28382	208	13	google	google	PROPN
bracis-28382	208	14	scholar	scholar	NOUN
bracis-28382	208	15	  	  	SPACE
bracis-28382	208	16	chicco	chicco	NOUN
bracis-28382	208	17	,	,	PUNCT
bracis-28382	208	18	d.	d.	PROPN
bracis-28382	208	19	,	,	PUNCT
bracis-28382	208	20	jurman	jurman	NOUN
bracis-28382	208	21	,	,	PUNCT
bracis-28382	208	22	g.	g.	PROPN
bracis-28382	208	23	:	:	PUNCT
bracis-28382	208	24	the	the	DET
bracis-28382	208	25	advantages	advantage	NOUN
bracis-28382	208	26	of	of	ADP
bracis-28382	208	27	the	the	DET
bracis-28382	208	28	matthews	matthews	PROPN
bracis-28382	208	29	correlation	correlation	NOUN
bracis-28382	208	30	coefficient	coefficient	NOUN
bracis-28382	208	31	(	(	PUNCT
bracis-28382	208	32	mcc	mcc	NOUN
bracis-28382	208	33	)	)	PUNCT
bracis-28382	208	34	over	over	ADP
bracis-28382	208	35	f1	f1	ADJ
bracis-28382	208	36	score	score	NOUN
bracis-28382	208	37	and	and	CCONJ
bracis-28382	208	38	accuracy	accuracy	NOUN
bracis-28382	208	39	in	in	ADP
bracis-28382	208	40	binary	binary	ADJ
bracis-28382	208	41	classification	classification	NOUN
bracis-28382	208	42	evaluation	evaluation	NOUN
bracis-28382	208	43	.	.	PUNCT
bracis-28382	209	1	bmc	bmc	PROPN
bracis-28382	209	2	genom	genom	PROPN
bracis-28382	209	3	.	.	PUNCT
bracis-28382	210	1	21	21	NUM
bracis-28382	210	2	,	,	PUNCT
bracis-28382	210	3	1–13	1–13	NOUN
bracis-28382	210	4	(	(	PUNCT
bracis-28382	210	5	2020	2020	NUM
bracis-28382	210	6	)	)	PUNCT
bracis-28382	210	7	article	article	NOUN
bracis-28382	210	8	  	  	SPACE
bracis-28382	210	9	google	google	PROPN
bracis-28382	210	10	scholar	scholar	NOUN
bracis-28382	210	11	  	  	SPACE
bracis-28382	210	12	fukushima	fukushima	PROPN
bracis-28382	210	13	,	,	PUNCT
bracis-28382	210	14	k.	k.	PROPN
bracis-28382	210	15	:	:	PUNCT
bracis-28382	210	16	neocognitron	neocognitron	PROPN
bracis-28382	210	17	:	:	PUNCT
bracis-28382	210	18	a	a	DET
bracis-28382	210	19	self	self	NOUN
bracis-28382	210	20	-	-	PUNCT
bracis-28382	210	21	organizing	organize	VERB
bracis-28382	210	22	neural	neural	ADJ
bracis-28382	210	23	network	network	NOUN
bracis-28382	210	24	model	model	NOUN
bracis-28382	210	25	for	for	ADP
bracis-28382	210	26	a	a	DET
bracis-28382	210	27	mechanism	mechanism	NOUN
bracis-28382	210	28	of	of	ADP
bracis-28382	210	29	pattern	pattern	NOUN
bracis-28382	210	30	recognition	recognition	NOUN
bracis-28382	210	31	unaffected	unaffected	ADJ
bracis-28382	210	32	by	by	ADP
bracis-28382	210	33	shift	shift	NOUN
bracis-28382	210	34	in	in	ADP
bracis-28382	210	35	position	position	NOUN
bracis-28382	210	36	.	.	PUNCT
bracis-28382	211	1	biol	biol	PROPN
bracis-28382	211	2	.	.	PUNCT
bracis-28382	212	1	cybern	cybern	PROPN
bracis-28382	212	2	.	.	PUNCT
bracis-28382	213	1	36(4	36(4	NUM
bracis-28382	213	2	)	)	PUNCT
bracis-28382	213	3	,	,	PUNCT
bracis-28382	213	4	193–202	193–202	NUM
bracis-28382	213	5	(	(	PUNCT
bracis-28382	213	6	1980	1980	NUM
bracis-28382	213	7	)	)	PUNCT
bracis-28382	213	8	google	google	PROPN
bracis-28382	213	9	scholar	scholar	NOUN
bracis-28382	213	10	  	  	SPACE
bracis-28382	213	11	hicks	hick	NOUN
bracis-28382	213	12	,	,	PUNCT
bracis-28382	213	13	s.a	s.a	PROPN
bracis-28382	213	14	.	.	PROPN
bracis-28382	213	15	,	,	PUNCT
bracis-28382	214	1	jha	jha	PROPN
bracis-28382	214	2	,	,	PUNCT
bracis-28382	214	3	d.	d.	PROPN
bracis-28382	214	4	,	,	PUNCT
bracis-28382	214	5	thambawita	thambawita	PROPN
bracis-28382	214	6	,	,	PUNCT
bracis-28382	214	7	v.	v.	PROPN
bracis-28382	214	8	,	,	PUNCT
bracis-28382	214	9	halvorsen	halvorsen	PROPN
bracis-28382	214	10	,	,	PUNCT
bracis-28382	214	11	p.	p.	NOUN
bracis-28382	214	12	,	,	PUNCT
bracis-28382	214	13	hammer	hammer	NOUN
bracis-28382	214	14	,	,	PUNCT
bracis-28382	214	15	h.l	h.l	PROPN
bracis-28382	214	16	.	.	PROPN
bracis-28382	214	17	,	,	PUNCT
bracis-28382	214	18	riegler	riegler	NOUN
bracis-28382	214	19	,	,	PUNCT
bracis-28382	214	20	m.a	m.a	PROPN
bracis-28382	214	21	.	.	PROPN
bracis-28382	214	22	:	:	PUNCT
bracis-28382	215	1	the	the	DET
bracis-28382	215	2	endotect	endotect	NOUN
bracis-28382	215	3	2020	2020	NUM
bracis-28382	215	4	challenge	challenge	NOUN
bracis-28382	215	5	:	:	PUNCT
bracis-28382	215	6	evaluation	evaluation	NOUN
bracis-28382	215	7	and	and	CCONJ
bracis-28382	215	8	comparison	comparison	NOUN
bracis-28382	215	9	of	of	ADP
bracis-28382	215	10	classification	classification	NOUN
bracis-28382	215	11	,	,	PUNCT
bracis-28382	215	12	segmentation	segmentation	NOUN
bracis-28382	215	13	and	and	CCONJ
bracis-28382	215	14	inference	inference	NOUN
bracis-28382	215	15	time	time	NOUN
bracis-28382	215	16	for	for	ADP
bracis-28382	215	17	endoscopy	endoscopy	NOUN
bracis-28382	215	18	.	.	PUNCT
bracis-28382	216	1	in	in	ADP
bracis-28382	216	2	:	:	PUNCT
bracis-28382	216	3	del	del	PROPN
bracis-28382	216	4	bimbo	bimbo	PROPN
bracis-28382	216	5	,	,	PUNCT
bracis-28382	216	6	a.	a.	PROPN
bracis-28382	216	7	,	,	PUNCT
bracis-28382	216	8	et	et	PROPN
bracis-28382	216	9	al	al	PROPN
bracis-28382	216	10	.	.	PUNCT
bracis-28382	216	11	(	(	PUNCT
bracis-28382	216	12	eds	ed	NOUN
bracis-28382	216	13	.	.	PUNCT
bracis-28382	216	14	)	)	PUNCT
bracis-28382	217	1	icpr	icpr	PROPN
bracis-28382	218	1	2021	2021	NUM
bracis-28382	218	2	.	.	PUNCT
bracis-28382	219	1	lncs	lncs	PROPN
bracis-28382	219	2	,	,	PUNCT
bracis-28382	219	3	vol	vol	NOUN
bracis-28382	219	4	.	.	PROPN
bracis-28382	219	5	12668	12668	NUM
bracis-28382	219	6	,	,	PUNCT
bracis-28382	219	7	pp	pp	ADV
bracis-28382	219	8	.	.	PUNCT
bracis-28382	220	1	263–274	263–274	NUM
bracis-28382	220	2	.	.	PUNCT
bracis-28382	220	3	springer	springer	NOUN
bracis-28382	220	4	,	,	PUNCT
bracis-28382	220	5	cham	cham	PROPN
bracis-28382	220	6	(	(	PUNCT
bracis-28382	220	7	2021	2021	NUM
bracis-28382	220	8	)	)	PUNCT
bracis-28382	220	9	.	.	PUNCT
bracis-28382	221	1	https://doi.org/10.1007/978-3-030-68793-9_18	https://doi.org/10.1007/978-3-030-68793-9_18	ADJ
bracis-28382	221	2	chapter	chapter	NOUN
bracis-28382	221	3	  	  	SPACE
bracis-28382	221	4	google	google	PROPN
bracis-28382	221	5	scholar	scholar	NOUN
bracis-28382	221	6	  	  	SPACE
bracis-28382	221	7	iqbal	iqbal	PROPN
bracis-28382	221	8	,	,	PUNCT
bracis-28382	221	9	i.	i.	PROPN
bracis-28382	221	10	,	,	PUNCT
bracis-28382	221	11	walayat	walayat	PROPN
bracis-28382	221	12	,	,	PUNCT
bracis-28382	221	13	k.	k.	PROPN
bracis-28382	221	14	,	,	PUNCT
bracis-28382	221	15	kakar	kakar	PROPN
bracis-28382	221	16	,	,	PUNCT
bracis-28382	221	17	m.u	m.u	PROPN
bracis-28382	221	18	.	.	PROPN
bracis-28382	221	19	,	,	PUNCT
bracis-28382	221	20	ma	ma	PROPN
bracis-28382	221	21	,	,	PUNCT
bracis-28382	221	22	j.	j.	PROPN
bracis-28382	221	23	:	:	PUNCT
bracis-28382	221	24	automated	automate	VERB
bracis-28382	221	25	identification	identification	NOUN
bracis-28382	221	26	of	of	ADP
bracis-28382	221	27	human	human	ADJ
bracis-28382	221	28	gastrointestinal	gastrointestinal	ADJ
bracis-28382	221	29	tract	tract	NOUN
bracis-28382	221	30	abnormalities	abnormality	NOUN
bracis-28382	221	31	based	base	VERB
bracis-28382	221	32	on	on	ADP
bracis-28382	221	33	deep	deep	ADJ
bracis-28382	221	34	convolutional	convolutional	ADJ
bracis-28382	221	35	neural	neural	ADJ
bracis-28382	221	36	network	network	NOUN
bracis-28382	221	37	with	with	ADP
bracis-28382	221	38	endoscopic	endoscopic	ADJ
bracis-28382	221	39	images	image	NOUN
bracis-28382	221	40	.	.	PUNCT
bracis-28382	222	1	intell	intell	PROPN
bracis-28382	222	2	.	.	PUNCT
bracis-28382	223	1	syst	syst	PROPN
bracis-28382	223	2	.	.	PUNCT
bracis-28382	224	1	appl	appl	PROPN
bracis-28382	224	2	.	.	PROPN
bracis-28382	225	1	16	16	NUM
bracis-28382	225	2	,	,	PUNCT
bracis-28382	225	3	200149	200149	NUM
bracis-28382	225	4	(	(	PUNCT
bracis-28382	225	5	2022	2022	NUM
bracis-28382	225	6	)	)	PUNCT
bracis-28382	225	7	google	google	PROPN
bracis-28382	225	8	scholar	scholar	NOUN
bracis-28382	225	9	  	  	SPACE
bracis-28382	225	10	jha	jha	PROPN
bracis-28382	225	11	,	,	PUNCT
bracis-28382	225	12	d.	d.	PROPN
bracis-28382	225	13	,	,	PUNCT
bracis-28382	225	14	et	et	PROPN
bracis-28382	225	15	al	al	PROPN
bracis-28382	225	16	.	.	PROPN
bracis-28382	225	17	:	:	PUNCT
bracis-28382	225	18	real	real	ADJ
bracis-28382	225	19	-	-	PUNCT
bracis-28382	225	20	time	time	NOUN
bracis-28382	225	21	polyp	polyp	NOUN
bracis-28382	225	22	detection	detection	NOUN
bracis-28382	225	23	,	,	PUNCT
bracis-28382	225	24	localization	localization	NOUN
bracis-28382	225	25	and	and	CCONJ
bracis-28382	225	26	segmentation	segmentation	NOUN
bracis-28382	225	27	in	in	ADP
bracis-28382	225	28	colonoscopy	colonoscopy	NOUN
bracis-28382	225	29	using	use	VERB
bracis-28382	225	30	deep	deep	ADJ
bracis-28382	225	31	learning	learning	NOUN
bracis-28382	225	32	.	.	PUNCT
bracis-28382	226	1	ieee	ieee	NOUN
bracis-28382	226	2	access	access	NOUN
bracis-28382	226	3	9	9	NUM
bracis-28382	226	4	,	,	PUNCT
bracis-28382	226	5	40496–40510	40496–40510	NUM
bracis-28382	226	6	(	(	PUNCT
bracis-28382	226	7	2021	2021	NUM
bracis-28382	226	8	)	)	PUNCT
bracis-28382	226	9	article	article	NOUN
bracis-28382	226	10	  	  	SPACE
bracis-28382	226	11	google	google	PROPN
bracis-28382	226	12	scholar	scholar	NOUN
bracis-28382	226	13	  	  	SPACE
bracis-28382	226	14	jha	jha	PROPN
bracis-28382	226	15	,	,	PUNCT
bracis-28382	226	16	d.	d.	PROPN
bracis-28382	226	17	,	,	PUNCT
bracis-28382	226	18	et	et	PROPN
bracis-28382	226	19	al	al	PROPN
bracis-28382	226	20	.	.	PUNCT
bracis-28382	226	21	:	:	PUNCT
bracis-28382	227	1	medico	medico	PROPN
bracis-28382	227	2	multimedia	multimedia	PROPN
bracis-28382	227	3	task	task	NOUN
bracis-28382	227	4	at	at	ADP
bracis-28382	227	5	mediaeval	mediaeval	ADJ
bracis-28382	227	6	2020	2020	NUM
bracis-28382	227	7	:	:	PUNCT
bracis-28382	227	8	automatic	automatic	ADJ
bracis-28382	227	9	polyp	polyp	NOUN
bracis-28382	227	10	segmentation	segmentation	NOUN
bracis-28382	227	11	.	.	PUNCT
bracis-28382	228	1	arxiv	arxiv	PROPN
bracis-28382	228	2	preprint	preprint	NOUN
bracis-28382	228	3	arxiv:2012.15244	arxiv:2012.15244	PROPN
bracis-28382	228	4	(	(	PUNCT
bracis-28382	228	5	2020	2020	NUM
bracis-28382	228	6	)	)	PUNCT
bracis-28382	228	7	jha	jha	PROPN
bracis-28382	228	8	,	,	PUNCT
bracis-28382	228	9	d.	d.	PROPN
bracis-28382	228	10	,	,	PUNCT
bracis-28382	228	11	et	et	PROPN
bracis-28382	228	12	al	al	PROPN
bracis-28382	228	13	.	.	PUNCT
bracis-28382	228	14	:	:	PUNCT
bracis-28382	229	1	a	a	DET
bracis-28382	229	2	comprehensive	comprehensive	ADJ
bracis-28382	229	3	study	study	NOUN
bracis-28382	229	4	on	on	ADP
bracis-28382	229	5	colorectal	colorectal	ADJ
bracis-28382	229	6	polyp	polyp	NOUN
bracis-28382	229	7	segmentation	segmentation	NOUN
bracis-28382	229	8	with	with	ADP
bracis-28382	229	9	resunet++	resunet++	NOUN
bracis-28382	229	10	,	,	PUNCT
bracis-28382	229	11	conditional	conditional	ADJ
bracis-28382	229	12	random	random	ADJ
bracis-28382	229	13	field	field	NOUN
bracis-28382	229	14	and	and	CCONJ
bracis-28382	229	15	test	test	NOUN
bracis-28382	229	16	-	-	PUNCT
bracis-28382	229	17	time	time	NOUN
bracis-28382	229	18	augmentation	augmentation	NOUN
bracis-28382	229	19	.	.	PUNCT
bracis-28382	230	1	ieee	ieee	PROPN
bracis-28382	230	2	j.	j.	PROPN
bracis-28382	230	3	biomed	biome	VERB
bracis-28382	230	4	.	.	PUNCT
bracis-28382	231	1	health	health	NOUN
bracis-28382	231	2	inform	inform	NOUN
bracis-28382	231	3	.	.	PUNCT
bracis-28382	232	1	25(6	25(6	NUM
bracis-28382	232	2	)	)	PUNCT
bracis-28382	232	3	,	,	PUNCT
bracis-28382	232	4	2029–2040	2029–2040	NUM
bracis-28382	232	5	(	(	PUNCT
bracis-28382	232	6	2021	2021	NUM
bracis-28382	232	7	)	)	PUNCT
bracis-28382	232	8	article	article	NOUN
bracis-28382	232	9	  	  	SPACE
bracis-28382	232	10	google	google	PROPN
bracis-28382	232	11	scholar	scholar	NOUN
bracis-28382	232	12	  	  	SPACE
bracis-28382	232	13	jha	jha	PROPN
bracis-28382	232	14	,	,	PUNCT
bracis-28382	232	15	d.	d.	PROPN
bracis-28382	232	16	,	,	PUNCT
bracis-28382	232	17	et	et	PROPN
bracis-28382	232	18	al	al	PROPN
bracis-28382	232	19	.	.	PROPN
bracis-28382	232	20	:	:	PUNCT
bracis-28382	233	1	kvasir	kvasir	PROPN
bracis-28382	233	2	-	-	PUNCT
bracis-28382	233	3	seg	seg	PROPN
bracis-28382	233	4	:	:	PUNCT
bracis-28382	233	5	a	a	DET
bracis-28382	233	6	segmented	segment	VERB
bracis-28382	233	7	polyp	polyp	NOUN
bracis-28382	233	8	dataset	dataset	NOUN
bracis-28382	233	9	.	.	PUNCT
bracis-28382	234	1	in	in	ADP
bracis-28382	234	2	:	:	PUNCT
bracis-28382	234	3	ro	ro	PROPN
bracis-28382	234	4	,	,	PUNCT
bracis-28382	234	5	y.m	y.m	PROPN
bracis-28382	234	6	.	.	PROPN
bracis-28382	234	7	,	,	PUNCT
bracis-28382	234	8	et	et	PROPN
bracis-28382	234	9	al	al	PROPN
bracis-28382	234	10	.	.	PUNCT
bracis-28382	234	11	(	(	PUNCT
bracis-28382	234	12	eds	ed	NOUN
bracis-28382	234	13	.	.	PUNCT
bracis-28382	234	14	)	)	PUNCT
bracis-28382	235	1	mmm	mmm	INTJ
bracis-28382	236	1	2020	2020	NUM
bracis-28382	236	2	.	.	PUNCT
bracis-28382	237	1	lncs	lncs	PROPN
bracis-28382	237	2	,	,	PUNCT
bracis-28382	237	3	vol	vol	NOUN
bracis-28382	237	4	.	.	PROPN
bracis-28382	237	5	11962	11962	NUM
bracis-28382	237	6	,	,	PUNCT
bracis-28382	237	7	pp	pp	ADP
bracis-28382	237	8	.	.	PUNCT
bracis-28382	238	1	451–462	451–462	NUM
bracis-28382	238	2	.	.	PUNCT
bracis-28382	238	3	springer	springer	NOUN
bracis-28382	238	4	,	,	PUNCT
bracis-28382	238	5	cham	cham	PROPN
bracis-28382	238	6	(	(	PUNCT
bracis-28382	238	7	2020	2020	NUM
bracis-28382	238	8	)	)	PUNCT
bracis-28382	238	9	.	.	PUNCT
bracis-28382	239	1	https://doi.org/10.1007/978-3-030-37734-2_37	https://doi.org/10.1007/978-3-030-37734-2_37	PROPN
bracis-28382	239	2	chapter	chapter	NOUN
bracis-28382	239	3	  	  	SPACE
bracis-28382	239	4	google	google	PROPN
bracis-28382	239	5	scholar	scholar	NOUN
bracis-28382	239	6	  	  	SPACE
bracis-28382	239	7	krizhevsky	krizhevsky	NOUN
bracis-28382	239	8	,	,	PUNCT
bracis-28382	239	9	a.	a.	NOUN
bracis-28382	239	10	,	,	PUNCT
bracis-28382	239	11	sutskever	sutskever	PROPN
bracis-28382	239	12	,	,	PUNCT
bracis-28382	239	13	i.	i.	PROPN
bracis-28382	239	14	,	,	PUNCT
bracis-28382	239	15	hinton	hinton	PROPN
bracis-28382	239	16	,	,	PUNCT
bracis-28382	239	17	g.e	g.e	PROPN
bracis-28382	239	18	.	.	PUNCT
bracis-28382	239	19	:	:	PUNCT
bracis-28382	240	1	imagenet	imagenet	PROPN
bracis-28382	240	2	classification	classification	NOUN
bracis-28382	240	3	with	with	ADP
bracis-28382	240	4	deep	deep	ADJ
bracis-28382	240	5	convolutional	convolutional	ADJ
bracis-28382	240	6	neural	neural	ADJ
bracis-28382	240	7	networks	network	NOUN
bracis-28382	240	8	.	.	PUNCT
bracis-28382	241	1	in	in	ADP
bracis-28382	241	2	:	:	PUNCT
bracis-28382	241	3	advances	advance	NOUN
bracis-28382	241	4	in	in	ADP
bracis-28382	241	5	neural	neural	ADJ
bracis-28382	241	6	information	information	NOUN
bracis-28382	241	7	processing	processing	NOUN
bracis-28382	241	8	systems	system	NOUN
bracis-28382	241	9	,	,	PUNCT
bracis-28382	241	10	vol	vol	NOUN
bracis-28382	241	11	.	.	PROPN
bracis-28382	241	12	25	25	NUM
bracis-28382	241	13	,	,	PUNCT
bracis-28382	241	14	pp	pp	ADJ
bracis-28382	241	15	.	.	PUNCT
bracis-28382	242	1	1097–1105	1097–1105	NUM
bracis-28382	242	2	(	(	PUNCT
bracis-28382	242	3	2012	2012	NUM
bracis-28382	242	4	)	)	PUNCT
bracis-28382	242	5	google	google	PROPN
bracis-28382	242	6	scholar	scholar	NOUN
bracis-28382	242	7	  	  	SPACE
bracis-28382	242	8	lecun	lecun	ADJ
bracis-28382	242	9	,	,	PUNCT
bracis-28382	242	10	y.	y.	PROPN
bracis-28382	242	11	,	,	PUNCT
bracis-28382	242	12	bengio	bengio	PROPN
bracis-28382	242	13	,	,	PUNCT
bracis-28382	242	14	y.	y.	PROPN
bracis-28382	242	15	,	,	PUNCT
bracis-28382	242	16	hinton	hinton	PROPN
bracis-28382	242	17	,	,	PUNCT
bracis-28382	242	18	g.	g.	PROPN
bracis-28382	242	19	:	:	PUNCT
bracis-28382	242	20	deep	deep	ADJ
bracis-28382	242	21	learning	learning	NOUN
bracis-28382	242	22	.	.	PUNCT
bracis-28382	243	1	nature	nature	NOUN
bracis-28382	243	2	521(7553	521(7553	NUM
bracis-28382	243	3	)	)	PUNCT
bracis-28382	243	4	,	,	PUNCT
bracis-28382	243	5	436–444	436–444	NUM
bracis-28382	243	6	(	(	PUNCT
bracis-28382	243	7	2015	2015	NUM
bracis-28382	243	8	)	)	PUNCT
bracis-28382	243	9	article	article	NOUN
bracis-28382	243	10	  	  	SPACE
bracis-28382	243	11	google	google	PROPN
bracis-28382	243	12	scholar	scholar	NOUN
bracis-28382	243	13	  	  	SPACE
bracis-28382	243	14	lecun	lecun	ADJ
bracis-28382	243	15	,	,	PUNCT
bracis-28382	243	16	y.	y.	PROPN
bracis-28382	243	17	,	,	PUNCT
bracis-28382	243	18	et	et	PROPN
bracis-28382	243	19	al	al	PROPN
bracis-28382	243	20	.	.	PUNCT
bracis-28382	243	21	:	:	PUNCT
bracis-28382	244	1	backpropagation	backpropagation	NOUN
bracis-28382	244	2	applied	apply	VERB
bracis-28382	244	3	to	to	ADP
bracis-28382	244	4	handwritten	handwritten	ADJ
bracis-28382	244	5	zip	zip	NOUN
bracis-28382	244	6	code	code	NOUN
bracis-28382	244	7	recognition	recognition	NOUN
bracis-28382	244	8	.	.	PUNCT
bracis-28382	245	1	neural	neural	ADJ
bracis-28382	245	2	comput	comput	NOUN
bracis-28382	245	3	.	.	PUNCT
bracis-28382	246	1	1(4	1(4	NUM
bracis-28382	246	2	)	)	PUNCT
bracis-28382	246	3	,	,	PUNCT
bracis-28382	246	4	541–551	541–551	NUM
bracis-28382	246	5	(	(	PUNCT
bracis-28382	246	6	1989	1989	NUM
bracis-28382	246	7	)	)	PUNCT
bracis-28382	246	8	article	article	NOUN
bracis-28382	246	9	  	  	SPACE
bracis-28382	246	10	google	google	PROPN
bracis-28382	246	11	scholar	scholar	NOUN
bracis-28382	246	12	  	  	SPACE
bracis-28382	246	13	naess	naess	NOUN
bracis-28382	246	14	,	,	PUNCT
bracis-28382	246	15	e.	e.	PROPN
bracis-28382	246	16	,	,	PUNCT
bracis-28382	246	17	thambawita	thambawita	PROPN
bracis-28382	246	18	,	,	PUNCT
bracis-28382	246	19	v.	v.	PROPN
bracis-28382	246	20	,	,	PUNCT
bracis-28382	246	21	hicks	hicks	PROPN
bracis-28382	246	22	,	,	PUNCT
bracis-28382	246	23	s.a	s.a	PROPN
bracis-28382	246	24	.	.	PROPN
bracis-28382	246	25	,	,	PUNCT
bracis-28382	246	26	riegler	riegler	NOUN
bracis-28382	246	27	,	,	PUNCT
bracis-28382	246	28	m.a	m.a	PROPN
bracis-28382	246	29	.	.	PROPN
bracis-28382	246	30	,	,	PUNCT
bracis-28382	246	31	halvorsen	halvorsen	PROPN
bracis-28382	246	32	,	,	PUNCT
bracis-28382	246	33	p.	p.	NOUN
bracis-28382	246	34	:	:	PUNCT
bracis-28382	246	35	pyramidal	pyramidal	ADJ
bracis-28382	246	36	segmentation	segmentation	NOUN
bracis-28382	246	37	of	of	ADP
bracis-28382	246	38	medical	medical	ADJ
bracis-28382	246	39	images	image	NOUN
bracis-28382	246	40	using	use	VERB
bracis-28382	246	41	adversarial	adversarial	ADJ
bracis-28382	246	42	training	training	NOUN
bracis-28382	246	43	.	.	PUNCT
bracis-28382	247	1	in	in	ADP
bracis-28382	247	2	:	:	PUNCT
bracis-28382	247	3	proceedings	proceeding	NOUN
bracis-28382	247	4	of	of	ADP
bracis-28382	247	5	the	the	DET
bracis-28382	247	6	2021	2021	NUM
bracis-28382	247	7	workshop	workshop	NOUN
bracis-28382	247	8	on	on	ADP
bracis-28382	247	9	intelligent	intelligent	ADJ
bracis-28382	247	10	cross	cross	ADJ
bracis-28382	247	11	-	-	ADJ
bracis-28382	247	12	data	data	ADJ
bracis-28382	247	13	analysis	analysis	NOUN
bracis-28382	247	14	and	and	CCONJ
bracis-28382	247	15	retrieval	retrieval	NOUN
bracis-28382	247	16	,	,	PUNCT
bracis-28382	247	17	pp	pp	ADP
bracis-28382	247	18	.	.	PUNCT
bracis-28382	248	1	33–38	33–38	NUM
bracis-28382	248	2	(	(	PUNCT
bracis-28382	248	3	2021	2021	NUM
bracis-28382	248	4	)	)	PUNCT
bracis-28382	248	5	google	google	PROPN
bracis-28382	248	6	scholar	scholar	NOUN
bracis-28382	248	7	  	  	SPACE
bracis-28382	248	8	sarkar	sarkar	NOUN
bracis-28382	248	9	,	,	PUNCT
bracis-28382	248	10	d.	d.	PROPN
bracis-28382	248	11	,	,	PUNCT
bracis-28382	248	12	bali	bali	PROPN
bracis-28382	248	13	,	,	PUNCT
bracis-28382	248	14	r.	r.	PROPN
bracis-28382	248	15	,	,	PUNCT
bracis-28382	248	16	sharma	sharma	PROPN
bracis-28382	248	17	,	,	PUNCT
bracis-28382	248	18	t.	t.	NOUN
bracis-28382	248	19	:	:	PUNCT
bracis-28382	248	20	practical	practical	ADJ
bracis-28382	248	21	machine	machine	NOUN
bracis-28382	248	22	learning	learn	VERB
bracis-28382	248	23	with	with	ADP
bracis-28382	248	24	python	python	PROPN
bracis-28382	248	25	(	(	PUNCT
bracis-28382	248	26	2018	2018	NUM
bracis-28382	248	27	)	)	PUNCT
bracis-28382	248	28	.	.	PUNCT
bracis-28382	249	1	https://doi.org/10.1007/978-1-4842-3207-1	https://doi.org/10.1007/978-1-4842-3207-1	PROPN
bracis-28382	249	2	sze	sze	PROPN
bracis-28382	249	3	,	,	PUNCT
bracis-28382	249	4	v.	v.	PROPN
bracis-28382	249	5	,	,	PUNCT
bracis-28382	249	6	chen	chen	PROPN
bracis-28382	249	7	,	,	PUNCT
bracis-28382	249	8	y.h	y.h	PROPN
bracis-28382	249	9	.	.	PROPN
bracis-28382	249	10	,	,	PUNCT
bracis-28382	249	11	yang	yang	PROPN
bracis-28382	249	12	,	,	PUNCT
bracis-28382	249	13	t.j	t.j	PROPN
bracis-28382	249	14	.	.	PROPN
bracis-28382	249	15	,	,	PUNCT
bracis-28382	249	16	emer	emer	PROPN
bracis-28382	249	17	,	,	PUNCT
bracis-28382	249	18	j.s	j.s	PROPN
bracis-28382	249	19	.	.	PUNCT
bracis-28382	249	20	:	:	PUNCT
bracis-28382	249	21	efficient	efficient	ADJ
bracis-28382	249	22	processing	processing	NOUN
bracis-28382	249	23	of	of	ADP
bracis-28382	249	24	deep	deep	ADJ
bracis-28382	249	25	neural	neural	ADJ
bracis-28382	249	26	networks	network	NOUN
bracis-28382	249	27	:	:	PUNCT
bracis-28382	249	28	a	a	DET
bracis-28382	249	29	tutorial	tutorial	NOUN
bracis-28382	249	30	and	and	CCONJ
bracis-28382	249	31	survey	survey	NOUN
bracis-28382	249	32	.	.	PUNCT
bracis-28382	250	1	proc	proc	NOUN
bracis-28382	250	2	.	.	PUNCT
bracis-28382	251	1	ieee	ieee	NOUN
bracis-28382	251	2	105(12	105(12	NUM
bracis-28382	251	3	)	)	PUNCT
bracis-28382	251	4	,	,	PUNCT
bracis-28382	251	5	2295–2329	2295–2329	NUM
bracis-28382	251	6	(	(	PUNCT
bracis-28382	251	7	2017	2017	NUM
bracis-28382	251	8	)	)	PUNCT
bracis-28382	251	9	article	article	NOUN
bracis-28382	251	10	  	  	SPACE
bracis-28382	251	11	google	google	PROPN
bracis-28382	251	12	scholar	scholar	NOUN
bracis-28382	251	13	  	  	SPACE
bracis-28382	251	14	sze	sze	PROPN
bracis-28382	251	15	,	,	PUNCT
bracis-28382	251	16	v.	v.	PROPN
bracis-28382	251	17	,	,	PUNCT
bracis-28382	251	18	chen	chen	PROPN
bracis-28382	251	19	,	,	PUNCT
bracis-28382	251	20	y.h	y.h	PROPN
bracis-28382	251	21	.	.	PROPN
bracis-28382	251	22	,	,	PUNCT
bracis-28382	251	23	yang	yang	PROPN
bracis-28382	251	24	,	,	PUNCT
bracis-28382	251	25	t.j	t.j	PROPN
bracis-28382	251	26	.	.	PROPN
bracis-28382	251	27	,	,	PUNCT
bracis-28382	251	28	emer	emer	PROPN
bracis-28382	251	29	,	,	PUNCT
bracis-28382	251	30	j.s	j.s	PROPN
bracis-28382	251	31	.	.	PUNCT
bracis-28382	251	32	:	:	PUNCT
bracis-28382	252	1	efficient	efficient	ADJ
bracis-28382	252	2	processing	processing	NOUN
bracis-28382	252	3	of	of	ADP
bracis-28382	252	4	deep	deep	ADJ
bracis-28382	252	5	neural	neural	ADJ
bracis-28382	252	6	networks	network	NOUN
bracis-28382	252	7	.	.	PUNCT
bracis-28382	253	1	synth	synth	NOUN
bracis-28382	253	2	.	.	PUNCT
bracis-28382	254	1	lect	lect	PROPN
bracis-28382	254	2	.	.	PUNCT
bracis-28382	255	1	comput	comput	NOUN
bracis-28382	255	2	.	.	PUNCT
bracis-28382	256	1	archit	archit	VERB
bracis-28382	256	2	.	.	PUNCT
bracis-28382	257	1	15(2	15(2	NUM
bracis-28382	257	2	)	)	PUNCT
bracis-28382	257	3	,	,	PUNCT
bracis-28382	257	4	1–341	1–341	NUM
bracis-28382	257	5	(	(	PUNCT
bracis-28382	257	6	2020	2020	NUM
bracis-28382	257	7	)	)	PUNCT
bracis-28382	257	8	math	math	NOUN
bracis-28382	257	9	  	  	SPACE
bracis-28382	257	10	google	google	PROPN
bracis-28382	257	11	scholar	scholar	NOUN
bracis-28382	257	12	  	  	SPACE
bracis-28382	257	13	szegedy	szegedy	PROPN
bracis-28382	257	14	,	,	PUNCT
bracis-28382	257	15	c.	c.	NOUN
bracis-28382	257	16	,	,	PUNCT
bracis-28382	257	17	ioffe	ioffe	PROPN
bracis-28382	257	18	,	,	PUNCT
bracis-28382	257	19	s.	s.	PROPN
bracis-28382	257	20	,	,	PUNCT
bracis-28382	257	21	vanhoucke	vanhoucke	PROPN
bracis-28382	257	22	,	,	PUNCT
bracis-28382	257	23	v.	v.	ADV
bracis-28382	257	24	,	,	PUNCT
bracis-28382	257	25	alemi	alemi	PROPN
bracis-28382	257	26	,	,	PUNCT
bracis-28382	257	27	a.a	a.a	PROPN
bracis-28382	257	28	.	.	PROPN
bracis-28382	257	29	:	:	PUNCT
bracis-28382	257	30	inception	inception	NOUN
bracis-28382	257	31	-	-	PUNCT
bracis-28382	257	32	v4	v4	NOUN
bracis-28382	257	33	,	,	PUNCT
bracis-28382	257	34	inception	inception	NOUN
bracis-28382	257	35	-	-	PUNCT
bracis-28382	257	36	resnet	resnet	NOUN
bracis-28382	257	37	and	and	CCONJ
bracis-28382	257	38	the	the	DET
bracis-28382	257	39	impact	impact	NOUN
bracis-28382	257	40	of	of	ADP
bracis-28382	257	41	residual	residual	ADJ
bracis-28382	257	42	connections	connection	NOUN
bracis-28382	257	43	on	on	ADP
bracis-28382	257	44	learning	learn	VERB
bracis-28382	257	45	.	.	PUNCT
bracis-28382	258	1	in	in	ADP
bracis-28382	258	2	:	:	PUNCT
bracis-28382	258	3	thirty	thirty	NUM
bracis-28382	258	4	-	-	PUNCT
bracis-28382	258	5	first	first	ADV
bracis-28382	258	6	aaai	aaai	PROPN
bracis-28382	258	7	conference	conference	NOUN
bracis-28382	258	8	on	on	ADP
bracis-28382	258	9	artificial	artificial	ADJ
bracis-28382	258	10	intelligence	intelligence	NOUN
bracis-28382	258	11	(	(	PUNCT
bracis-28382	258	12	2017	2017	NUM
bracis-28382	258	13	)	)	PUNCT
bracis-28382	258	14	google	google	PROPN
bracis-28382	258	15	scholar	scholar	NOUN
bracis-28382	258	16	  	  	SPACE
bracis-28382	258	17	takahashi	takahashi	PROPN
bracis-28382	258	18	,	,	PUNCT
bracis-28382	258	19	k.	k.	PROPN
bracis-28382	258	20	,	,	PUNCT
bracis-28382	258	21	yamamoto	yamamoto	PROPN
bracis-28382	258	22	,	,	PUNCT
bracis-28382	258	23	k.	k.	PROPN
bracis-28382	258	24	,	,	PUNCT
bracis-28382	258	25	kuchiba	kuchiba	PROPN
bracis-28382	258	26	,	,	PUNCT
bracis-28382	258	27	a.	a.	NOUN
bracis-28382	258	28	,	,	PUNCT
bracis-28382	258	29	koyama	koyama	PROPN
bracis-28382	258	30	,	,	PUNCT
bracis-28382	258	31	t.	t.	NOUN
bracis-28382	258	32	:	:	PUNCT
bracis-28382	258	33	confidence	confidence	NOUN
bracis-28382	258	34	interval	interval	NOUN
bracis-28382	258	35	for	for	ADP
bracis-28382	258	36	micro	micro	ADJ
bracis-28382	258	37	-	-	VERB
bracis-28382	258	38	averaged	average	VERB
bracis-28382	258	39	f	f	PROPN
bracis-28382	258	40	1	1	NUM
bracis-28382	258	41	and	and	CCONJ
bracis-28382	258	42	macro	macro	ADJ
bracis-28382	258	43	-	-	VERB
bracis-28382	258	44	averaged	average	VERB
bracis-28382	258	45	f	f	PROPN
bracis-28382	258	46	1	1	NUM
bracis-28382	258	47	scores	score	NOUN
bracis-28382	258	48	.	.	PUNCT
bracis-28382	259	1	appl	appl	PROPN
bracis-28382	259	2	.	.	PUNCT
bracis-28382	260	1	intell	intell	PROPN
bracis-28382	260	2	.	.	PUNCT
bracis-28382	261	1	52(5	52(5	NUM
bracis-28382	261	2	)	)	PUNCT
bracis-28382	261	3	,	,	PUNCT
bracis-28382	261	4	4961–4972	4961–4972	NUM
bracis-28382	261	5	(	(	PUNCT
bracis-28382	261	6	2022	2022	NUM
bracis-28382	261	7	)	)	PUNCT
bracis-28382	261	8	article	article	NOUN
bracis-28382	261	9	  	  	SPACE
bracis-28382	261	10	google	google	PROPN
bracis-28382	261	11	scholar	scholar	NOUN
bracis-28382	261	12	  	  	SPACE
bracis-28382	261	13	thambawita	thambawita	NOUN
bracis-28382	261	14	,	,	PUNCT
bracis-28382	261	15	v.	v.	ADV
bracis-28382	261	16	,	,	PUNCT
bracis-28382	261	17	et	et	PROPN
bracis-28382	261	18	al	al	PROPN
bracis-28382	261	19	.	.	PROPN
bracis-28382	261	20	:	:	PUNCT
bracis-28382	262	1	an	an	DET
bracis-28382	262	2	extensive	extensive	ADJ
bracis-28382	262	3	study	study	NOUN
bracis-28382	262	4	on	on	ADP
bracis-28382	262	5	cross	cross	ADJ
bracis-28382	262	6	-	-	ADJ
bracis-28382	262	7	dataset	dataset	ADJ
bracis-28382	262	8	bias	bias	NOUN
bracis-28382	262	9	and	and	CCONJ
bracis-28382	262	10	evaluation	evaluation	NOUN
bracis-28382	262	11	metrics	metric	NOUN
bracis-28382	262	12	interpretation	interpretation	NOUN
bracis-28382	262	13	for	for	ADP
bracis-28382	262	14	machine	machine	NOUN
bracis-28382	262	15	learning	learning	NOUN
bracis-28382	262	16	applied	apply	VERB
bracis-28382	262	17	to	to	ADP
bracis-28382	262	18	gastrointestinal	gastrointestinal	ADJ
bracis-28382	262	19	tract	tract	NOUN
bracis-28382	262	20	abnormality	abnormality	NOUN
bracis-28382	262	21	classification	classification	NOUN
bracis-28382	262	22	.	.	PUNCT
bracis-28382	263	1	acm	acm	PROPN
bracis-28382	263	2	trans	trans	PROPN
bracis-28382	263	3	.	.	PUNCT
bracis-28382	264	1	comput	comput	PROPN
bracis-28382	264	2	.	.	PUNCT
bracis-28382	265	1	healthc	healthc	PROPN
bracis-28382	265	2	.	.	PUNCT
bracis-28382	266	1	1(3	1(3	NUM
bracis-28382	266	2	)	)	PUNCT
bracis-28382	267	1	,	,	PUNCT
bracis-28382	267	2	1–29	1–29	PROPN
bracis-28382	267	3	(	(	PUNCT
bracis-28382	267	4	2020	2020	NUM
bracis-28382	267	5	)	)	PUNCT
bracis-28382	267	6	article	article	NOUN
bracis-28382	267	7	  	  	SPACE
bracis-28382	267	8	google	google	PROPN
bracis-28382	267	9	scholar	scholar	NOUN
bracis-28382	267	10	  	  	SPACE
bracis-28382	267	11	download	download	NOUN
bracis-28382	267	12	references	reference	NOUN
bracis-28382	267	13	acknowledgements	acknowledgement	NOUN
bracis-28382	267	14	this	this	DET
bracis-28382	267	15	study	study	NOUN
bracis-28382	267	16	was	be	AUX
bracis-28382	267	17	financed	finance	VERB
bracis-28382	267	18	in	in	ADP
bracis-28382	267	19	part	part	NOUN
bracis-28382	267	20	by	by	ADP
bracis-28382	267	21	coordenação	coordenação	PROPN
bracis-28382	267	22	de	de	PROPN
bracis-28382	267	23	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-28382	267	24	de	de	X
bracis-28382	267	25	pessoal	pessoal	PROPN
bracis-28382	267	26	de	de	PROPN
bracis-28382	267	27	nível	nível	PROPN
bracis-28382	267	28	superior	superior	PROPN
bracis-28382	267	29	brasil	brasil	PROPN
bracis-28382	267	30	(	(	PUNCT
bracis-28382	267	31	capes	cape	NOUN
bracis-28382	267	32	)	)	PUNCT
bracis-28382	267	33	finance	finance	NOUN
bracis-28382	267	34	code	code	NOUN
bracis-28382	267	35	001	001	NUM
bracis-28382	267	36	*	*	PUNCT
bracis-28382	267	37	and	and	CCONJ
bracis-28382	267	38	conselho	conselho	VERB
bracis-28382	267	39	nacional	nacional	PROPN
bracis-28382	267	40	de	de	X
bracis-28382	267	41	desenvolvimento	desenvolvimento	PROPN
bracis-28382	267	42	científico	científico	PROPN
bracis-28382	267	43	e	e	NOUN
bracis-28382	267	44	tecnológico	tecnológico	PROPN
bracis-28382	267	45	(	(	PUNCT
bracis-28382	267	46	grant	grant	PROPN
bracis-28382	267	47	306436/2022	306436/2022	NUM
bracis-28382	267	48	-	-	SYM
bracis-28382	267	49	1	1	NUM
bracis-28382	267	50	)	)	PUNCT
bracis-28382	267	51	.	.	PUNCT
bracis-28382	268	1	in	in	ADP
bracis-28382	268	2	addition	addition	NOUN
bracis-28382	268	3	,	,	PUNCT
bracis-28382	268	4	it	it	PRON
bracis-28382	268	5	had	have	VERB
bracis-28382	268	6	the	the	DET
bracis-28382	268	7	support	support	NOUN
bracis-28382	268	8	of	of	ADP
bracis-28382	268	9	the	the	DET
bracis-28382	268	10	instituto	instituto	PROPN
bracis-28382	268	11	federal	federal	PROPN
bracis-28382	268	12	do	do	AUX
bracis-28382	268	13	triângulo	triângulo	PROPN
bracis-28382	268	14	mineiro	mineiro	PROPN
bracis-28382	268	15	e	e	PROPN
bracis-28382	268	16	universidade	universidade	PROPN
bracis-28382	268	17	federal	federal	PROPN
bracis-28382	268	18	de	de	PROPN
bracis-28382	268	19	uberlândia	uberlândia	PROPN
bracis-28382	268	20	.	.	PUNCT
bracis-28382	269	1	author	author	NOUN
bracis-28382	269	2	information	information	NOUN
bracis-28382	269	3	authors	author	NOUN
bracis-28382	269	4	and	and	CCONJ
bracis-28382	269	5	affiliations	affiliation	NOUN
bracis-28382	269	6	federal	federal	PROPN
bracis-28382	269	7	institute	institute	PROPN
bracis-28382	269	8	of	of	ADP
bracis-28382	269	9	triângulo	triângulo	PROPN
bracis-28382	269	10	mineiro	mineiro	PROPN
bracis-28382	269	11	(	(	PUNCT
bracis-28382	269	12	iftm	iftm	NOUN
bracis-28382	269	13	)	)	PUNCT
bracis-28382	269	14	campus	campus	NOUN
bracis-28382	269	15	patrocínio	patrocínio	NOUN
bracis-28382	269	16	,	,	PUNCT
bracis-28382	269	17	uberaba	uberaba	PROPN
bracis-28382	269	18	,	,	PUNCT
bracis-28382	269	19	mg	mg	PROPN
bracis-28382	269	20	,	,	PUNCT
bracis-28382	269	21	brazil	brazil	PROPN
bracis-28382	269	22	cícero	cícero	PROPN
bracis-28382	269	23	l.	l.	PROPN
bracis-28382	269	24	costa	costa	PROPN
bracis-28382	269	25	 	 	SPACE
bracis-28382	269	26	&	&	CCONJ
bracis-28382	269	27	 	 	SPACE
bracis-28382	269	28	danielli	danielli	PROPN
bracis-28382	269	29	a.	a.	PROPN
bracis-28382	269	30	lima	lima	PROPN
bracis-28382	269	31	federal	federal	PROPN
bracis-28382	269	32	university	university	PROPN
bracis-28382	269	33	of	of	ADP
bracis-28382	269	34	uberlândia	uberlândia	PROPN
bracis-28382	269	35	(	(	PUNCT
bracis-28382	269	36	ufu	ufu	PROPN
bracis-28382	269	37	)	)	PUNCT
bracis-28382	269	38	campus	campus	NOUN
bracis-28382	269	39	santa	santa	PROPN
bracis-28382	269	40	mônica	mônica	PROPN
bracis-28382	269	41	,	,	PUNCT
bracis-28382	269	42	uberlândia	uberlândia	PROPN
bracis-28382	269	43	,	,	PUNCT
bracis-28382	269	44	mg	mg	PROPN
bracis-28382	269	45	,	,	PUNCT
bracis-28382	269	46	brazil	brazil	PROPN
bracis-28382	269	47	cícero	cícero	PROPN
bracis-28382	269	48	l.	l.	PROPN
bracis-28382	269	49	costa	costa	PROPN
bracis-28382	269	50	,	,	PUNCT
bracis-28382	269	51	 	 	SPACE
bracis-28382	269	52	celia	celia	PROPN
bracis-28382	269	53	a.	a.	PROPN
bracis-28382	269	54	zorzo	zorzo	PROPN
bracis-28382	269	55	barcelos	barcelos	PROPN
bracis-28382	269	56	 	 	SPACE
bracis-28382	269	57	&	&	CCONJ
bracis-28382	269	58	 	 	SPACE
bracis-28382	269	59	bruno	bruno	PROPN
bracis-28382	269	60	a.	a.	PROPN
bracis-28382	269	61	n.	n.	PROPN
bracis-28382	269	62	travençolo	travençolo	PROPN
bracis-28382	269	63	authors	author	NOUN
bracis-28382	269	64	cícero	cícero	VERB
bracis-28382	269	65	l.	l.	PROPN
bracis-28382	269	66	costaview	costaview	PROPN
bracis-28382	269	67	author	author	NOUN
bracis-28382	269	68	publications	publication	NOUN
bracis-28382	269	69	search	search	NOUN
bracis-28382	269	70	author	author	NOUN
bracis-28382	269	71	on	on	ADP
bracis-28382	269	72	:	:	PUNCT
bracis-28382	269	73	pubmed	pubmed	PROPN
bracis-28382	269	74	 	 	SPACE
bracis-28382	269	75	google	google	PROPN
bracis-28382	269	76	scholar	scholar	NOUN
bracis-28382	269	77	danielli	danielli	PROPN
bracis-28382	269	78	a.	a.	NOUN
bracis-28382	269	79	limaview	limaview	PROPN
bracis-28382	269	80	author	author	NOUN
bracis-28382	269	81	publications	publication	NOUN
bracis-28382	269	82	search	search	NOUN
bracis-28382	269	83	author	author	NOUN
bracis-28382	269	84	on	on	ADP
bracis-28382	269	85	:	:	PUNCT
bracis-28382	269	86	pubmed	pubmed	PROPN
bracis-28382	269	87	 	 	SPACE
bracis-28382	269	88	google	google	PROPN
bracis-28382	269	89	scholar	scholar	PROPN
bracis-28382	269	90	celia	celia	PROPN
bracis-28382	269	91	a.	a.	PROPN
bracis-28382	269	92	zorzo	zorzo	PROPN
bracis-28382	269	93	barcelosview	barcelosview	NOUN
bracis-28382	269	94	author	author	NOUN
bracis-28382	269	95	publications	publication	NOUN
bracis-28382	269	96	search	search	NOUN
bracis-28382	269	97	author	author	NOUN
bracis-28382	269	98	on	on	ADP
bracis-28382	269	99	:	:	PUNCT
bracis-28382	269	100	pubmed	pubmed	PROPN
bracis-28382	269	101	 	 	SPACE
bracis-28382	269	102	google	google	PROPN
bracis-28382	269	103	scholar	scholar	PROPN
bracis-28382	269	104	bruno	bruno	PROPN
bracis-28382	269	105	a.	a.	PROPN
bracis-28382	269	106	n.	n.	PROPN
bracis-28382	269	107	travençoloview	travençoloview	PROPN
bracis-28382	269	108	author	author	NOUN
bracis-28382	269	109	publications	publication	NOUN
bracis-28382	269	110	search	search	NOUN
bracis-28382	269	111	author	author	NOUN
bracis-28382	269	112	on	on	ADP
bracis-28382	269	113	:	:	PUNCT
bracis-28382	269	114	pubmed	pubmed	PROPN
bracis-28382	269	115	 	 	SPACE
bracis-28382	269	116	google	google	PROPN
bracis-28382	269	117	scholar	scholar	NOUN
bracis-28382	269	118	corresponding	correspond	VERB
bracis-28382	269	119	author	author	NOUN
bracis-28382	269	120	correspondence	correspondence	NOUN
bracis-28382	269	121	to	to	PART
bracis-28382	269	122	cícero	cícero	PROPN
bracis-28382	269	123	l.	l.	PROPN
bracis-28382	269	124	costa	costa	PROPN
bracis-28382	269	125	.	.	PUNCT
bracis-28382	270	1	editor	editor	NOUN
bracis-28382	270	2	information	information	NOUN
bracis-28382	270	3	editors	editor	NOUN
bracis-28382	270	4	and	and	CCONJ
bracis-28382	270	5	affiliations	affiliation	NOUN
bracis-28382	270	6	federal	federal	PROPN
bracis-28382	270	7	university	university	PROPN
bracis-28382	270	8	of	of	ADP
bracis-28382	270	9	são	são	PROPN
bracis-28382	270	10	carlos	carlos	PROPN
bracis-28382	270	11	,	,	PUNCT
bracis-28382	270	12	são	são	PROPN
bracis-28382	270	13	carlos	carlos	PROPN
bracis-28382	270	14	,	,	PUNCT
bracis-28382	270	15	brazil	brazil	PROPN
bracis-28382	270	16	murilo	murilo	PROPN
bracis-28382	270	17	c.	c.	PROPN
bracis-28382	270	18	naldi	naldi	PROPN
bracis-28382	270	19	centro	centro	PROPN
bracis-28382	270	20	universitario	universitario	PROPN
bracis-28382	270	21	da	da	PROPN
bracis-28382	270	22	fei	fei	PROPN
bracis-28382	270	23	,	,	PUNCT
bracis-28382	270	24	são	são	PROPN
bracis-28382	270	25	bernardo	bernardo	PROPN
bracis-28382	270	26	do	do	AUX
bracis-28382	270	27	campo	campo	PROPN
bracis-28382	270	28	,	,	PUNCT
bracis-28382	270	29	brazil	brazil	PROPN
bracis-28382	270	30	reinaldo	reinaldo	PROPN
bracis-28382	270	31	a.	a.	PROPN
bracis-28382	270	32	c.	c.	PROPN
bracis-28382	270	33	bianchi	bianchi	PROPN
bracis-28382	270	34	rights	right	NOUN
bracis-28382	270	35	and	and	CCONJ
bracis-28382	270	36	permissions	permission	NOUN
bracis-28382	270	37	reprints	reprint	NOUN
bracis-28382	270	38	and	and	CCONJ
bracis-28382	270	39	permissions	permission	VERB
bracis-28382	270	40	copyright	copyright	NOUN
bracis-28382	270	41	information	information	NOUN
bracis-28382	270	42	©	©	ADP
bracis-28382	270	43	2023	2023	NUM
bracis-28382	270	44	the	the	DET
bracis-28382	270	45	author(s	author(s	NOUN
bracis-28382	270	46	)	)	PUNCT
bracis-28382	270	47	,	,	PUNCT
bracis-28382	270	48	under	under	ADP
bracis-28382	270	49	exclusive	exclusive	ADJ
bracis-28382	270	50	license	license	NOUN
bracis-28382	270	51	to	to	ADP
bracis-28382	270	52	springer	springer	NOUN
bracis-28382	270	53	nature	nature	PROPN
bracis-28382	270	54	switzerland	switzerland	PROPN
bracis-28382	270	55	ag	ag	PROPN
bracis-28382	270	56	about	about	ADP
bracis-28382	270	57	this	this	DET
bracis-28382	270	58	paper	paper	NOUN
bracis-28382	270	59	cite	cite	VERB
bracis-28382	270	60	this	this	DET
bracis-28382	270	61	paper	paper	NOUN
bracis-28382	270	62	costa	costa	PROPN
bracis-28382	270	63	,	,	PUNCT
bracis-28382	270	64	c.l	c.l	PROPN
bracis-28382	270	65	.	.	PROPN
bracis-28382	270	66	,	,	PUNCT
bracis-28382	270	67	lima	lima	PROPN
bracis-28382	270	68	,	,	PUNCT
bracis-28382	270	69	d.a	d.a	PROPN
bracis-28382	270	70	.	.	PROPN
bracis-28382	270	71	,	,	PUNCT
bracis-28382	270	72	zorzo	zorzo	PROPN
bracis-28382	270	73	barcelos	barcelo	NOUN
bracis-28382	270	74	,	,	PUNCT
bracis-28382	270	75	c.a	c.a	PROPN
bracis-28382	270	76	.	.	PROPN
bracis-28382	270	77	,	,	PUNCT
bracis-28382	270	78	travençolo	travençolo	ADV
bracis-28382	270	79	,	,	PUNCT
bracis-28382	270	80	b.a.n	b.a.n	NOUN
bracis-28382	270	81	.	.	PUNCT
bracis-28382	271	1	(	(	PUNCT
bracis-28382	271	2	2023	2023	NUM
bracis-28382	271	3	)	)	PUNCT
bracis-28382	271	4	.	.	PUNCT
bracis-28382	272	1	ensemble	ensemble	ADJ
bracis-28382	272	2	architectures	architecture	NOUN
bracis-28382	272	3	and	and	CCONJ
bracis-28382	272	4	 	 	SPACE
bracis-28382	272	5	efficient	efficient	ADJ
bracis-28382	272	6	fusion	fusion	NOUN
bracis-28382	272	7	techniques	technique	NOUN
bracis-28382	272	8	for	for	ADP
bracis-28382	272	9	 	 	SPACE
bracis-28382	272	10	convolutional	convolutional	ADJ
bracis-28382	272	11	neural	neural	ADJ
bracis-28382	272	12	networks	network	NOUN
bracis-28382	272	13	:	:	PUNCT
bracis-28382	272	14	an	an	DET
bracis-28382	272	15	analysis	analysis	NOUN
bracis-28382	272	16	on	on	ADP
bracis-28382	272	17	 	 	SPACE
bracis-28382	272	18	resource	resource	NOUN
bracis-28382	272	19	optimization	optimization	NOUN
bracis-28382	272	20	strategies	strategy	NOUN
bracis-28382	272	21	.	.	PUNCT
bracis-28382	273	1	in	in	ADP
bracis-28382	273	2	:	:	PUNCT
bracis-28382	273	3	naldi	naldi	PROPN
bracis-28382	273	4	,	,	PUNCT
bracis-28382	273	5	m.c	m.c	PROPN
bracis-28382	273	6	.	.	PROPN
bracis-28382	273	7	,	,	PUNCT
bracis-28382	273	8	bianchi	bianchi	PROPN
bracis-28382	273	9	,	,	PUNCT
bracis-28382	273	10	r.a.c	r.a.c	ADP
bracis-28382	273	11	.	.	PUNCT
bracis-28382	273	12	(	(	PUNCT
bracis-28382	273	13	eds	ed	NOUN
bracis-28382	273	14	)	)	PUNCT
bracis-28382	273	15	intelligent	intelligent	ADJ
bracis-28382	273	16	systems	system	NOUN
bracis-28382	273	17	.	.	PUNCT
bracis-28382	274	1	bracis	bracis	PROPN
bracis-28382	274	2	2023	2023	NUM
bracis-28382	274	3	.	.	PUNCT
bracis-28382	275	1	lecture	lecture	NOUN
bracis-28382	275	2	notes	note	NOUN
bracis-28382	275	3	in	in	ADP
bracis-28382	275	4	computer	computer	NOUN
bracis-28382	275	5	science	science	NOUN
bracis-28382	275	6	(	(	PUNCT
bracis-28382	275	7	)	)	PUNCT
bracis-28382	275	8	,	,	PUNCT
bracis-28382	275	9	vol	vol	NOUN
bracis-28382	275	10	14196	14196	NUM
bracis-28382	275	11	.	.	PUNCT
bracis-28382	276	1	springer	springer	NOUN
bracis-28382	276	2	,	,	PUNCT
bracis-28382	276	3	cham	cham	PROPN
bracis-28382	276	4	.	.	PUNCT
bracis-28382	277	1	https://doi.org/10.1007/978-3-031-45389-2_8	https://doi.org/10.1007/978-3-031-45389-2_8	PROPN
bracis-28382	278	1	download	download	PROPN
bracis-28382	278	2	citation	citation	NOUN
bracis-28382	278	3	.ris	.ris	PUNCT
bracis-28382	279	1	.enw	.enw	PROPN
bracis-28382	279	2	.bib	.bib	PUNCT
bracis-28382	280	1	doi	doi	PROPN
bracis-28382	280	2	:	:	PUNCT
bracis-28382	280	3	https://doi.org/10.1007/978-3-031-45389-2_8	https://doi.org/10.1007/978-3-031-45389-2_8	PUNCT
bracis-28382	280	4	published	publish	VERB
bracis-28382	280	5	:	:	PUNCT
bracis-28382	280	6	12	12	NUM
bracis-28382	280	7	october	october	PROPN
bracis-28382	280	8	2023	2023	NUM
bracis-28382	280	9	publisher	publisher	NOUN
bracis-28382	280	10	name	name	NOUN
bracis-28382	280	11	:	:	PUNCT
bracis-28382	280	12	springer	springer	NOUN
bracis-28382	280	13	,	,	PUNCT
bracis-28382	280	14	cham	cham	PROPN
bracis-28382	280	15	print	print	PROPN
bracis-28382	280	16	isbn	isbn	PROPN
bracis-28382	280	17	:	:	PUNCT
bracis-28382	280	18	978	978	NUM
bracis-28382	280	19	-	-	SYM
bracis-28382	280	20	3	3	NUM
bracis-28382	280	21	-	-	PUNCT
bracis-28382	280	22	031	031	NUM
bracis-28382	280	23	-	-	PUNCT
bracis-28382	280	24	45388	45388	NUM
bracis-28382	280	25	-	-	SYM
bracis-28382	280	26	5	5	NUM
bracis-28382	280	27	online	online	ADJ
bracis-28382	280	28	isbn	isbn	NOUN
bracis-28382	280	29	:	:	PUNCT
bracis-28382	280	30	978	978	NUM
bracis-28382	280	31	-	-	SYM
bracis-28382	280	32	3	3	NUM
bracis-28382	280	33	-	-	PUNCT
bracis-28382	280	34	031	031	NUM
bracis-28382	280	35	-	-	PUNCT
bracis-28382	280	36	45389	45389	NUM
bracis-28382	280	37	-	-	SYM
bracis-28382	280	38	2	2	NUM
bracis-28382	280	39	ebook	ebook	NOUN
bracis-28382	280	40	packages	package	NOUN
bracis-28382	280	41	:	:	PUNCT
bracis-28382	280	42	computer	computer	NOUN
bracis-28382	280	43	sciencecomputer	sciencecomputer	NOUN
bracis-28382	280	44	science	science	NOUN
bracis-28382	280	45	(	(	PUNCT
bracis-28382	280	46	r0	r0	NOUN
bracis-28382	280	47	)	)	PUNCT
bracis-28382	280	48	share	share	VERB
bracis-28382	280	49	this	this	DET
bracis-28382	280	50	paper	paper	NOUN
bracis-28382	280	51	anyone	anyone	PRON
bracis-28382	280	52	you	you	PRON
bracis-28382	280	53	share	share	VERB
bracis-28382	280	54	the	the	DET
bracis-28382	280	55	following	follow	VERB
bracis-28382	280	56	link	link	NOUN
bracis-28382	280	57	with	with	ADP
bracis-28382	280	58	will	will	AUX
bracis-28382	280	59	be	be	AUX
bracis-28382	280	60	able	able	ADJ
bracis-28382	280	61	to	to	PART
bracis-28382	280	62	read	read	VERB
bracis-28382	280	63	this	this	DET
bracis-28382	280	64	content	content	NOUN
bracis-28382	280	65	:	:	PUNCT
bracis-28382	280	66	get	get	VERB
bracis-28382	280	67	shareable	shareable	ADJ
bracis-28382	280	68	linksorry	linksorry	NOUN
bracis-28382	280	69	,	,	PUNCT
bracis-28382	280	70	a	a	DET
bracis-28382	280	71	shareable	shareable	ADJ
bracis-28382	280	72	link	link	NOUN
bracis-28382	280	73	is	be	AUX
bracis-28382	280	74	not	not	PART
bracis-28382	280	75	currently	currently	ADV
bracis-28382	280	76	available	available	ADJ
bracis-28382	280	77	for	for	ADP
bracis-28382	280	78	this	this	DET
bracis-28382	280	79	article	article	NOUN
bracis-28382	280	80	.	.	PUNCT
bracis-28382	281	1	copy	copy	VERB
bracis-28382	281	2	shareable	shareable	ADJ
bracis-28382	281	3	link	link	NOUN
bracis-28382	281	4	to	to	PART
bracis-28382	281	5	clipboard	clipboard	NOUN
bracis-28382	281	6	provided	provide	VERB
bracis-28382	281	7	by	by	ADP
bracis-28382	281	8	the	the	DET
bracis-28382	281	9	springer	springer	NOUN
bracis-28382	281	10	nature	nature	PROPN
bracis-28382	281	11	sharedit	sharedit	PROPN
bracis-28382	281	12	content	content	NOUN
bracis-28382	281	13	-	-	PUNCT
bracis-28382	281	14	sharing	share	VERB
bracis-28382	281	15	initiative	initiative	NOUN
bracis-28382	281	16	keywords	keyword	VERB
bracis-28382	281	17	convolutional	convolutional	ADJ
bracis-28382	281	18	neural	neural	ADJ
bracis-28382	281	19	networks	network	NOUN
bracis-28382	281	20	gastrointestinal	gastrointestinal	ADJ
bracis-28382	281	21	abnormalities	abnormality	NOUN
bracis-28382	281	22	ensembles	ensemble	VERB
bracis-28382	281	23	performance	performance	NOUN
bracis-28382	281	24	image	image	NOUN
bracis-28382	281	25	classification	classification	NOUN
bracis-28382	281	26	performance	performance	NOUN
bracis-28382	281	27	fusion	fusion	NOUN
bracis-28382	281	28	techniques	technique	NOUN
bracis-28382	281	29	resource	resource	NOUN
bracis-28382	281	30	consumption	consumption	NOUN
bracis-28382	281	31	publish	publish	VERB
bracis-28382	281	32	with	with	ADP
bracis-28382	281	33	us	us	PROPN
bracis-28382	281	34	policies	policy	NOUN
bracis-28382	281	35	and	and	CCONJ
bracis-28382	281	36	ethics	ethic	NOUN
bracis-28382	281	37	profiles	profile	NOUN
bracis-28382	281	38	danielli	danielli	VERB
bracis-28382	281	39	a.	a.	PROPN
bracis-28382	281	40	lima	lima	PROPN
bracis-28382	281	41	view	view	PROPN
bracis-28382	281	42	author	author	NOUN
bracis-28382	281	43	profile	profile	PROPN
bracis-28382	281	44	bruno	bruno	PROPN
bracis-28382	281	45	a.	a.	PROPN
bracis-28382	281	46	n.	n.	PROPN
bracis-28382	281	47	travençolo	travençolo	PROPN
bracis-28382	281	48	view	view	NOUN
bracis-28382	281	49	author	author	NOUN
bracis-28382	281	50	profile	profile	NOUN
bracis-28382	281	51	search	search	NOUN
bracis-28382	281	52	search	search	NOUN
bracis-28382	281	53	by	by	ADP
bracis-28382	281	54	keyword	keyword	NOUN
bracis-28382	281	55	or	or	CCONJ
bracis-28382	281	56	author	author	NOUN
bracis-28382	281	57	search	search	NOUN
bracis-28382	281	58	navigation	navigation	NOUN
bracis-28382	281	59	find	find	VERB
bracis-28382	281	60	a	a	DET
bracis-28382	281	61	journal	journal	NOUN
bracis-28382	281	62	publish	publish	VERB
bracis-28382	281	63	with	with	ADP
bracis-28382	281	64	us	we	PRON
bracis-28382	281	65	track	track	VERB
bracis-28382	281	66	your	your	PRON
bracis-28382	281	67	research	research	NOUN
bracis-28382	281	68	discover	discover	VERB
bracis-28382	281	69	content	content	NOUN
bracis-28382	281	70	journals	journal	NOUN
bracis-28382	281	71	a	a	DET
bracis-28382	281	72	-	-	PUNCT
bracis-28382	281	73	z	z	NOUN
bracis-28382	281	74	books	book	NOUN
bracis-28382	281	75	a	a	DET
bracis-28382	281	76	-	-	PUNCT
bracis-28382	281	77	z	z	NOUN
bracis-28382	281	78	publish	publish	NOUN
bracis-28382	281	79	with	with	ADP
bracis-28382	281	80	us	us	PROPN
bracis-28382	281	81	journal	journal	PROPN
bracis-28382	281	82	finder	finder	PROPN
bracis-28382	281	83	publish	publish	VERB
bracis-28382	281	84	your	your	PRON
bracis-28382	281	85	research	research	NOUN
bracis-28382	281	86	language	language	NOUN
bracis-28382	281	87	editing	edit	VERB
bracis-28382	281	88	open	open	ADJ
bracis-28382	281	89	access	access	NOUN
bracis-28382	281	90	publishing	publishing	NOUN
bracis-28382	281	91	products	product	NOUN
bracis-28382	281	92	and	and	CCONJ
bracis-28382	281	93	services	service	NOUN
bracis-28382	281	94	our	our	PRON
bracis-28382	281	95	products	product	NOUN
bracis-28382	281	96	librarians	librarian	VERB
bracis-28382	281	97	societies	society	NOUN
bracis-28382	281	98	partners	partner	NOUN
bracis-28382	281	99	and	and	CCONJ
bracis-28382	281	100	advertisers	advertiser	NOUN
bracis-28382	281	101	our	our	PRON
bracis-28382	281	102	brands	brand	NOUN
bracis-28382	281	103	springer	springer	NOUN
bracis-28382	281	104	nature	nature	PROPN
bracis-28382	281	105	portfolio	portfolio	PROPN
bracis-28382	281	106	bmc	bmc	PROPN
bracis-28382	281	107	palgrave	palgrave	PROPN
bracis-28382	281	108	macmillan	macmillan	PROPN
bracis-28382	281	109	apress	apress	PROPN
bracis-28382	281	110	discover	discover	VERB
bracis-28382	281	111	your	your	PRON
bracis-28382	281	112	privacy	privacy	NOUN
bracis-28382	281	113	choices	choice	NOUN
bracis-28382	281	114	/	/	SYM
bracis-28382	281	115	manage	manage	NOUN
bracis-28382	281	116	cookies	cookie	NOUN
bracis-28382	281	117	your	your	PRON
bracis-28382	281	118	us	us	PROPN
bracis-28382	282	1	state	state	NOUN
bracis-28382	282	2	privacy	privacy	NOUN
bracis-28382	282	3	rights	right	NOUN
bracis-28382	282	4	accessibility	accessibility	NOUN
bracis-28382	282	5	statement	statement	NOUN
bracis-28382	282	6	terms	term	NOUN
bracis-28382	282	7	and	and	CCONJ
bracis-28382	282	8	conditions	condition	NOUN
bracis-28382	282	9	privacy	privacy	NOUN
bracis-28382	282	10	policy	policy	NOUN
bracis-28382	282	11	help	help	NOUN
bracis-28382	282	12	and	and	CCONJ
bracis-28382	282	13	support	support	VERB
bracis-28382	282	14	legal	legal	ADJ
bracis-28382	282	15	notice	notice	NOUN
bracis-28382	282	16	cancel	cancel	VERB
bracis-28382	282	17	contracts	contract	NOUN
bracis-28382	282	18	here	here	ADV
bracis-28382	282	19	129.74.145.123	129.74.145.123	NUM
bracis-28382	282	20	hesburgh	hesburgh	PROPN
bracis-28382	282	21	library	library	PROPN
bracis-28382	282	22	er	er	INTJ
bracis-28382	282	23	unit	unit	NOUN
bracis-28382	282	24	(	(	PUNCT
bracis-28382	282	25	3005732405	3005732405	NUM
bracis-28382	282	26	)	)	PUNCT
bracis-28382	282	27	northeast	northeast	ADJ
bracis-28382	282	28	research	research	NOUN
bracis-28382	282	29	libraries	library	NOUN
bracis-28382	282	30	(	(	PUNCT
bracis-28382	282	31	nerl	nerl	PROPN
bracis-28382	282	32	)	)	PUNCT
bracis-28382	282	33	(	(	PUNCT
bracis-28382	282	34	8200828607	8200828607	NUM
bracis-28382	282	35	)	)	PUNCT
bracis-28382	282	36	nerl	nerl	VERB
bracis-28382	282	37	ta	ta	X
bracis-28382	282	38	account	account	NOUN
bracis-28382	282	39	(	(	PUNCT
bracis-28382	282	40	3006206169	3006206169	NUM
bracis-28382	282	41	)	)	PUNCT
bracis-28382	282	42	university	university	NOUN
bracis-28382	282	43	of	of	ADP
bracis-28382	282	44	notre	notre	PROPN
bracis-28382	282	45	dame	dame	PROPN
bracis-28382	282	46	hesburgh	hesburgh	PROPN
bracis-28382	282	47	library	library	NOUN
bracis-28382	282	48	(	(	PUNCT
bracis-28382	282	49	3000184373	3000184373	NUM
bracis-28382	282	50	)	)	PUNCT
bracis-28382	283	1	©	©	ADP
bracis-28382	283	2	2025	2025	NUM
bracis-28382	283	3	springer	springer	NOUN
bracis-28382	283	4	nature	nature	NOUN