id	sid	tid	token	lemma	pos
bracis-28378	1	1	convolutional	convolutional	ADJ
bracis-28378	1	2	neural	neural	ADJ
bracis-28378	1	3	networks	network	NOUN
bracis-28378	1	4	for	for	ADP
bracis-28378	1	5	 	 	SPACE
bracis-28378	1	6	the	the	DET
bracis-28378	1	7	 	 	SPACE
bracis-28378	1	8	molecular	molecular	ADJ
bracis-28378	1	9	detection	detection	NOUN
bracis-28378	1	10	of	of	ADP
bracis-28378	1	11	 	 	SPACE
bracis-28378	1	12	covid-19	covid-19	PROPN
bracis-28378	1	13	|	|	NOUN
bracis-28378	1	14	springer	springer	NOUN
bracis-28378	1	15	nature	nature	PROPN
bracis-28378	1	16	link	link	PROPN
bracis-28378	1	17	(	(	PUNCT
bracis-28378	1	18	formerly	formerly	ADV
bracis-28378	1	19	springerlink	springerlink	NOUN
bracis-28378	1	20	)	)	PUNCT
bracis-28378	1	21	skip	skip	VERB
bracis-28378	1	22	to	to	ADP
bracis-28378	1	23	main	main	ADJ
bracis-28378	1	24	content	content	NOUN
bracis-28378	1	25	advertisement	advertisement	NOUN
bracis-28378	1	26	account	account	NOUN
bracis-28378	1	27	menu	menu	NOUN
bracis-28378	1	28	find	find	VERB
bracis-28378	1	29	a	a	DET
bracis-28378	1	30	journal	journal	NOUN
bracis-28378	1	31	publish	publish	VERB
bracis-28378	1	32	with	with	ADP
bracis-28378	1	33	us	we	PRON
bracis-28378	1	34	track	track	VERB
bracis-28378	1	35	your	your	PRON
bracis-28378	1	36	research	research	NOUN
bracis-28378	1	37	search	search	NOUN
bracis-28378	1	38	cart	cart	NOUN
bracis-28378	1	39	home	home	NOUN
bracis-28378	1	40	intelligent	intelligent	ADJ
bracis-28378	1	41	systems	system	NOUN
bracis-28378	1	42	conference	conference	NOUN
bracis-28378	1	43	paper	paper	NOUN
bracis-28378	1	44	convolutional	convolutional	ADJ
bracis-28378	1	45	neural	neural	ADJ
bracis-28378	1	46	networks	network	NOUN
bracis-28378	1	47	for	for	ADP
bracis-28378	1	48	 	 	SPACE
bracis-28378	1	49	the	the	DET
bracis-28378	1	50	 	 	SPACE
bracis-28378	1	51	molecular	molecular	ADJ
bracis-28378	1	52	detection	detection	NOUN
bracis-28378	1	53	of	of	ADP
bracis-28378	1	54	 	 	SPACE
bracis-28378	1	55	covid-19	covid-19	PROPN
bracis-28378	1	56	conference	conference	NOUN
bracis-28378	1	57	paper	paper	NOUN
bracis-28378	1	58	first	first	ADV
bracis-28378	1	59	online	online	ADV
bracis-28378	1	60	:	:	PUNCT
bracis-28378	1	61	12	12	NUM
bracis-28378	1	62	october	october	NOUN
bracis-28378	1	63	2023	2023	NUM
bracis-28378	1	64	pp	pp	ADP
bracis-28378	1	65	51–62	51–62	NUM
bracis-28378	1	66	cite	cite	VERB
bracis-28378	1	67	this	this	DET
bracis-28378	1	68	conference	conference	NOUN
bracis-28378	1	69	paper	paper	NOUN
bracis-28378	1	70	download	download	NOUN
bracis-28378	1	71	book	book	NOUN
bracis-28378	1	72	pdf	pdf	PROPN
bracis-28378	1	73	download	download	NOUN
bracis-28378	1	74	book	book	NOUN
bracis-28378	1	75	epub	epub	PROPN
bracis-28378	1	76	intelligent	intelligent	ADJ
bracis-28378	1	77	systems	system	NOUN
bracis-28378	1	78	(	(	PUNCT
bracis-28378	1	79	bracis	bracis	NOUN
bracis-28378	1	80	2023	2023	NUM
bracis-28378	1	81	)	)	PUNCT
bracis-28378	1	82	convolutional	convolutional	ADJ
bracis-28378	1	83	neural	neural	ADJ
bracis-28378	1	84	networks	network	NOUN
bracis-28378	1	85	for	for	ADP
bracis-28378	1	86	 	 	SPACE
bracis-28378	1	87	the	the	DET
bracis-28378	1	88	 	 	SPACE
bracis-28378	1	89	molecular	molecular	ADJ
bracis-28378	1	90	detection	detection	NOUN
bracis-28378	1	91	of	of	ADP
bracis-28378	1	92	 	 	SPACE
bracis-28378	1	93	covid-19	covid-19	PROPN
bracis-28378	1	94	download	download	NOUN
bracis-28378	1	95	book	book	NOUN
bracis-28378	1	96	pdf	pdf	PROPN
bracis-28378	1	97	download	download	NOUN
bracis-28378	1	98	book	book	PROPN
bracis-28378	1	99	epub	epub	PROPN
bracis-28378	1	100	anisio	anisio	PROPN
bracis-28378	1	101	p.	p.	PROPN
bracis-28378	1	102	santos	santos	PROPN
bracis-28378	2	1	jr	jr	PROPN
bracis-28378	2	2	.	.	PUNCT
bracis-28378	2	3	  	  	SPACE
bracis-28378	2	4	orcid	orcid	NOUN
bracis-28378	2	5	:	:	PUNCT
bracis-28378	2	6	orcid.org/0000-0002-7823-38549	orcid.org/0000-0002-7823-38549	NOUN
bracis-28378	2	7	,	,	PUNCT
bracis-28378	2	8	anage	anage	NOUN
bracis-28378	2	9	c.	c.	NOUN
bracis-28378	2	10	mundim	mundim	PROPN
bracis-28378	2	11	filho	filho	PROPN
bracis-28378	2	12	  	  	SPACE
bracis-28378	2	13	orcid	orcid	NOUN
bracis-28378	2	14	:	:	PUNCT
bracis-28378	2	15	orcid.org/0000-0002-9334-10529	orcid.org/0000-0002-9334-10529	ADV
bracis-28378	2	16	,	,	PUNCT
bracis-28378	2	17	robinson	robinson	PROPN
bracis-28378	2	18	sabino	sabino	PROPN
bracis-28378	2	19	-	-	PUNCT
bracis-28378	2	20	silva	silva	NOUN
bracis-28378	2	21	  	  	SPACE
bracis-28378	2	22	orcid	orcid	NOUN
bracis-28378	2	23	:	:	PUNCT
bracis-28378	3	1	orcid.org/0000-0002-2104-578010	orcid.org/0000-0002-2104-578010	PROPN
bracis-28378	3	2	&	&	CCONJ
bracis-28378	3	3	…	…	PUNCT
bracis-28378	3	4	murillo	murillo	PROPN
bracis-28378	3	5	g.	g.	PROPN
bracis-28378	3	6	carneiro	carneiro	PROPN
bracis-28378	3	7	  	  	SPACE
bracis-28378	3	8	orcid	orcid	PROPN
bracis-28378	3	9	:	:	PUNCT
bracis-28378	3	10	orcid.org/0000-0002-2915-89909	orcid.org/0000-0002-2915-89909	ADJ
bracis-28378	3	11	  	  	SPACE
bracis-28378	3	12	show	show	NOUN
bracis-28378	3	13	authors	author	NOUN
bracis-28378	3	14	part	part	NOUN
bracis-28378	3	15	of	of	ADP
bracis-28378	3	16	the	the	DET
bracis-28378	3	17	book	book	NOUN
bracis-28378	3	18	series	series	NOUN
bracis-28378	3	19	:	:	PUNCT
bracis-28378	3	20	lecture	lecture	NOUN
bracis-28378	3	21	notes	note	NOUN
bracis-28378	3	22	in	in	ADP
bracis-28378	3	23	computer	computer	NOUN
bracis-28378	3	24	science	science	NOUN
bracis-28378	3	25	(	(	PUNCT
bracis-28378	3	26	(	(	PUNCT
bracis-28378	3	27	lnai	lnai	ADJ
bracis-28378	3	28	,	,	PUNCT
bracis-28378	3	29	volume	volume	NOUN
bracis-28378	3	30	14196	14196	NUM
bracis-28378	3	31	)	)	PUNCT
bracis-28378	3	32	)	)	PUNCT
bracis-28378	3	33	included	include	VERB
bracis-28378	3	34	in	in	ADP
bracis-28378	3	35	the	the	DET
bracis-28378	3	36	following	follow	VERB
bracis-28378	3	37	conference	conference	NOUN
bracis-28378	3	38	series	series	NOUN
bracis-28378	3	39	:	:	PUNCT
bracis-28378	3	40	brazilian	brazilian	ADJ
bracis-28378	3	41	conference	conference	NOUN
bracis-28378	3	42	on	on	ADP
bracis-28378	3	43	intelligent	intelligent	ADJ
bracis-28378	3	44	systems	system	NOUN
bracis-28378	3	45	514	514	NUM
bracis-28378	3	46	accesses	access	VERB
bracis-28378	3	47	4	4	NUM
bracis-28378	3	48	citations	citation	NOUN
bracis-28378	3	49	abstract	abstract	ADV
bracis-28378	3	50	the	the	DET
bracis-28378	3	51	ongoing	ongoing	ADJ
bracis-28378	3	52	covid-19	covid-19	PROPN
bracis-28378	3	53	pandemic	pandemic	NOUN
bracis-28378	3	54	caused	cause	VERB
bracis-28378	3	55	an	an	DET
bracis-28378	3	56	unprecedented	unprecedented	ADJ
bracis-28378	3	57	overburning	overburning	NOUN
bracis-28378	3	58	of	of	ADP
bracis-28378	3	59	healthcare	healthcare	NOUN
bracis-28378	3	60	systems	system	NOUN
bracis-28378	3	61	and	and	CCONJ
bracis-28378	3	62	still	still	ADV
bracis-28378	3	63	represents	represent	VERB
bracis-28378	3	64	a	a	DET
bracis-28378	3	65	global	global	ADJ
bracis-28378	3	66	health	health	NOUN
bracis-28378	3	67	issue	issue	NOUN
bracis-28378	3	68	with	with	ADP
bracis-28378	3	69	the	the	DET
bracis-28378	3	70	emergence	emergence	NOUN
bracis-28378	3	71	of	of	ADP
bracis-28378	3	72	covid-19	covid-19	PROPN
bracis-28378	3	73	variants	variant	NOUN
bracis-28378	3	74	.	.	PUNCT
bracis-28378	4	1	the	the	DET
bracis-28378	4	2	relevance	relevance	NOUN
bracis-28378	4	3	of	of	ADP
bracis-28378	4	4	mass	mass	ADJ
bracis-28378	4	5	testing	testing	NOUN
bracis-28378	4	6	for	for	ADP
bracis-28378	4	7	covid-19	covid-19	PROPN
bracis-28378	4	8	in	in	ADP
bracis-28378	4	9	the	the	DET
bracis-28378	4	10	find	find	NOUN
bracis-28378	4	11	-	-	PUNCT
bracis-28378	4	12	test	test	NOUN
bracis-28378	4	13	-	-	PUNCT
bracis-28378	4	14	trace	trace	NOUN
bracis-28378	4	15	-	-	PUNCT
bracis-28378	4	16	isolate	isolate	NOUN
bracis-28378	4	17	-	-	PUNCT
bracis-28378	4	18	support	support	NOUN
bracis-28378	4	19	strategy	strategy	NOUN
bracis-28378	4	20	suggested	suggest	VERB
bracis-28378	4	21	by	by	ADP
bracis-28378	4	22	the	the	DET
bracis-28378	4	23	world	world	PROPN
bracis-28378	4	24	health	health	PROPN
bracis-28378	4	25	organization	organization	NOUN
bracis-28378	4	26	(	(	PUNCT
bracis-28378	4	27	who	who	PRON
bracis-28378	4	28	)	)	PUNCT
bracis-28378	4	29	is	be	AUX
bracis-28378	4	30	imperative	imperative	ADJ
bracis-28378	4	31	to	to	PART
bracis-28378	4	32	reduce	reduce	VERB
bracis-28378	4	33	covid-19	covid-19	PROPN
bracis-28378	4	34	transmission	transmission	NOUN
bracis-28378	4	35	.	.	PUNCT
bracis-28378	5	1	although	although	SCONJ
bracis-28378	5	2	real	real	ADJ
bracis-28378	5	3	-	-	PUNCT
bracis-28378	5	4	time	time	NOUN
bracis-28378	5	5	polymerase	polymerase	NOUN
bracis-28378	5	6	chain	chain	NOUN
bracis-28378	5	7	reaction	reaction	NOUN
bracis-28378	5	8	(	(	PUNCT
bracis-28378	5	9	rt	rt	NOUN
bracis-28378	5	10	-	-	PUNCT
bracis-28378	5	11	pcr	pcr	NOUN
bracis-28378	5	12	)	)	PUNCT
bracis-28378	5	13	is	be	AUX
bracis-28378	5	14	considered	consider	VERB
bracis-28378	5	15	a	a	DET
bracis-28378	5	16	reference	reference	NOUN
bracis-28378	5	17	standard	standard	NOUN
bracis-28378	5	18	for	for	ADP
bracis-28378	5	19	covid-19	covid-19	PROPN
bracis-28378	5	20	detection	detection	NOUN
bracis-28378	5	21	,	,	PUNCT
bracis-28378	5	22	it	it	PRON
bracis-28378	5	23	is	be	AUX
bracis-28378	5	24	an	an	DET
bracis-28378	5	25	expensive	expensive	ADJ
bracis-28378	5	26	,	,	PUNCT
bracis-28378	5	27	lengthened	lengthened	ADJ
bracis-28378	5	28	,	,	PUNCT
bracis-28378	5	29	and	and	CCONJ
bracis-28378	5	30	laborious	laborious	ADJ
bracis-28378	5	31	process	process	NOUN
bracis-28378	5	32	,	,	PUNCT
bracis-28378	5	33	and	and	CCONJ
bracis-28378	5	34	problems	problem	NOUN
bracis-28378	5	35	in	in	ADP
bracis-28378	5	36	rna	rna	NOUN
bracis-28378	5	37	extraction	extraction	NOUN
bracis-28378	5	38	can	can	AUX
bracis-28378	5	39	reduce	reduce	VERB
bracis-28378	5	40	the	the	DET
bracis-28378	5	41	sensitivity	sensitivity	NOUN
bracis-28378	5	42	.	.	PUNCT
bracis-28378	6	1	in	in	ADP
bracis-28378	6	2	this	this	DET
bracis-28378	6	3	context	context	NOUN
bracis-28378	6	4	,	,	PUNCT
bracis-28378	6	5	the	the	DET
bracis-28378	6	6	raman	raman	NOUN
bracis-28378	6	7	spectroscopy	spectroscopy	VERB
bracis-28378	6	8	analysis	analysis	NOUN
bracis-28378	6	9	in	in	ADP
bracis-28378	6	10	biofluids	biofluid	NOUN
bracis-28378	6	11	is	be	AUX
bracis-28378	6	12	a	a	DET
bracis-28378	6	13	label	label	NOUN
bracis-28378	6	14	-	-	PUNCT
bracis-28378	6	15	free	free	ADJ
bracis-28378	6	16	method	method	NOUN
bracis-28378	6	17	performing	perform	VERB
bracis-28378	6	18	a	a	DET
bracis-28378	6	19	suitable	suitable	ADJ
bracis-28378	6	20	cost	cost	NOUN
bracis-28378	6	21	-	-	PUNCT
bracis-28378	6	22	benefit	benefit	NOUN
bracis-28378	6	23	application	application	NOUN
bracis-28378	6	24	for	for	ADP
bracis-28378	6	25	covid-19	covid-19	PROPN
bracis-28378	6	26	detection	detection	NOUN
bracis-28378	6	27	.	.	PUNCT
bracis-28378	7	1	we	we	PRON
bracis-28378	7	2	propose	propose	VERB
bracis-28378	7	3	a	a	DET
bracis-28378	7	4	convolutional	convolutional	ADJ
bracis-28378	7	5	neural	neural	ADJ
bracis-28378	7	6	network	network	NOUN
bracis-28378	7	7	(	(	PUNCT
bracis-28378	7	8	cnn	cnn	PROPN
bracis-28378	7	9	)	)	PUNCT
bracis-28378	7	10	architecture	architecture	NOUN
bracis-28378	7	11	that	that	PRON
bracis-28378	7	12	processes	process	VERB
bracis-28378	7	13	spectra	spectra	ADJ
bracis-28378	7	14	images	image	NOUN
bracis-28378	7	15	generated	generate	VERB
bracis-28378	7	16	by	by	ADP
bracis-28378	7	17	the	the	DET
bracis-28378	7	18	raman	raman	NOUN
bracis-28378	7	19	spectrum	spectrum	NOUN
bracis-28378	7	20	and	and	CCONJ
bracis-28378	7	21	returns	return	VERB
bracis-28378	7	22	the	the	DET
bracis-28378	7	23	covid-19	covid-19	PROPN
bracis-28378	7	24	diagnosis	diagnosis	NOUN
bracis-28378	7	25	of	of	ADP
bracis-28378	7	26	the	the	DET
bracis-28378	7	27	spectrum	spectrum	NOUN
bracis-28378	7	28	sample	sample	NOUN
bracis-28378	7	29	.	.	PUNCT
bracis-28378	8	1	the	the	DET
bracis-28378	8	2	predictive	predictive	ADJ
bracis-28378	8	3	performance	performance	NOUN
bracis-28378	8	4	of	of	ADP
bracis-28378	8	5	the	the	DET
bracis-28378	8	6	cnn	cnn	PROPN
bracis-28378	8	7	was	be	AUX
bracis-28378	8	8	compared	compare	VERB
bracis-28378	8	9	against	against	ADP
bracis-28378	8	10	several	several	ADJ
bracis-28378	8	11	other	other	ADJ
bracis-28378	8	12	algorithms	algorithm	NOUN
bracis-28378	8	13	widely	widely	ADV
bracis-28378	8	14	adopted	adopt	VERB
bracis-28378	8	15	in	in	ADP
bracis-28378	8	16	the	the	DET
bracis-28378	8	17	literature	literature	NOUN
bracis-28378	8	18	.	.	PUNCT
bracis-28378	9	1	the	the	DET
bracis-28378	9	2	cnn	cnn	PROPN
bracis-28378	9	3	architecture	architecture	NOUN
bracis-28378	9	4	discriminates	discriminate	VERB
bracis-28378	9	5	covid-19	covid-19	PROPN
bracis-28378	9	6	with	with	ADP
bracis-28378	9	7	raman	raman	ADJ
bracis-28378	9	8	spectroscopy	spectroscopy	NOUN
bracis-28378	9	9	of	of	ADP
bracis-28378	9	10	blood	blood	NOUN
bracis-28378	9	11	samples	sample	NOUN
bracis-28378	9	12	with	with	ADP
bracis-28378	9	13	96.8	96.8	NUM
bracis-28378	9	14	%	%	NOUN
bracis-28378	9	15	accuracy	accuracy	NOUN
bracis-28378	9	16	,	,	PUNCT
bracis-28378	9	17	95.5	95.5	NUM
bracis-28378	9	18	%	%	NOUN
bracis-28378	9	19	sensitivity	sensitivity	NOUN
bracis-28378	9	20	,	,	PUNCT
bracis-28378	9	21	and	and	CCONJ
bracis-28378	9	22	98.2	98.2	NUM
bracis-28378	9	23	%	%	NOUN
bracis-28378	9	24	of	of	ADP
bracis-28378	9	25	specificity	specificity	NOUN
bracis-28378	9	26	,	,	PUNCT
bracis-28378	9	27	representing	represent	VERB
bracis-28378	9	28	the	the	DET
bracis-28378	9	29	best	good	ADJ
bracis-28378	9	30	results	result	NOUN
bracis-28378	9	31	as	as	ADV
bracis-28378	9	32	well	well	ADV
bracis-28378	9	33	as	as	ADP
bracis-28378	9	34	a	a	DET
bracis-28378	9	35	promising	promising	ADJ
bracis-28378	9	36	alternative	alternative	NOUN
bracis-28378	9	37	to	to	PART
bracis-28378	9	38	distinguish	distinguish	VERB
bracis-28378	9	39	samples	sample	NOUN
bracis-28378	9	40	.	.	PUNCT
bracis-28378	10	1	moreover	moreover	ADV
bracis-28378	10	2	,	,	PUNCT
bracis-28378	10	3	we	we	PRON
bracis-28378	10	4	also	also	ADV
bracis-28378	10	5	present	present	VERB
bracis-28378	10	6	a	a	DET
bracis-28378	10	7	model	model	NOUN
bracis-28378	10	8	explanation	explanation	NOUN
bracis-28378	10	9	analysis	analysis	NOUN
bracis-28378	10	10	that	that	PRON
bracis-28378	10	11	contributes	contribute	VERB
bracis-28378	10	12	to	to	ADP
bracis-28378	10	13	clarifying	clarify	VERB
bracis-28378	10	14	the	the	DET
bracis-28378	10	15	salient	salient	NOUN
bracis-28378	10	16	features	feature	NOUN
bracis-28378	10	17	taken	take	VERB
bracis-28378	10	18	into	into	ADP
bracis-28378	10	19	account	account	NOUN
bracis-28378	10	20	by	by	ADP
bracis-28378	10	21	our	our	PRON
bracis-28378	10	22	cnn	cnn	PROPN
bracis-28378	10	23	.	.	PUNCT
bracis-28378	11	1	download	download	PROPN
bracis-28378	11	2	conference	conference	PROPN
bracis-28378	11	3	paper	paper	NOUN
bracis-28378	11	4	pdf	pdf	NOUN
bracis-28378	11	5	similar	similar	ADJ
bracis-28378	11	6	content	content	NOUN
bracis-28378	11	7	being	be	AUX
bracis-28378	11	8	viewed	view	VERB
bracis-28378	11	9	by	by	ADP
bracis-28378	11	10	others	other	NOUN
bracis-28378	11	11	detection	detection	NOUN
bracis-28378	11	12	of	of	ADP
bracis-28378	11	13	covid-19	covid-19	PROPN
bracis-28378	11	14	-	-	PUNCT
bracis-28378	11	15	affected	affect	VERB
bracis-28378	11	16	persons	person	NOUN
bracis-28378	11	17	using	use	VERB
bracis-28378	11	18	convolutional	convolutional	ADJ
bracis-28378	11	19	neural	neural	ADJ
bracis-28378	11	20	network	network	NOUN
bracis-28378	11	21	from	from	ADP
bracis-28378	11	22	x	x	NOUN
bracis-28378	11	23	-	-	NOUN
bracis-28378	11	24	rays	ray	NOUN
bracis-28378	11	25	’	'	PUNCT
bracis-28378	11	26	images	image	NOUN
bracis-28378	11	27	chapter	chapter	NOUN
bracis-28378	11	28	©	©	ADP
bracis-28378	11	29	2023	2023	NUM
bracis-28378	11	30	decision	decision	NOUN
bracis-28378	11	31	and	and	CCONJ
bracis-28378	11	32	feature	feature	NOUN
bracis-28378	11	33	level	level	NOUN
bracis-28378	11	34	fusion	fusion	NOUN
bracis-28378	11	35	of	of	ADP
bracis-28378	11	36	deep	deep	ADJ
bracis-28378	11	37	features	feature	NOUN
bracis-28378	11	38	extracted	extract	VERB
bracis-28378	11	39	from	from	ADP
bracis-28378	11	40	public	public	ADJ
bracis-28378	11	41	covid-19	covid-19	PROPN
bracis-28378	11	42	data	data	NOUN
bracis-28378	11	43	-	-	PUNCT
bracis-28378	11	44	sets	set	NOUN
bracis-28378	11	45	article	article	NOUN
bracis-28378	11	46	30	30	NUM
bracis-28378	11	47	october	october	PROPN
bracis-28378	11	48	2021	2021	NUM
bracis-28378	11	49	a	a	DET
bracis-28378	11	50	nonclinical	nonclinical	ADJ
bracis-28378	11	51	spectroscopic	spectroscopic	ADJ
bracis-28378	11	52	approach	approach	NOUN
bracis-28378	11	53	for	for	ADP
bracis-28378	11	54	diagnosing	diagnose	VERB
bracis-28378	11	55	covid-19	covid-19	PROPN
bracis-28378	11	56	:	:	PUNCT
bracis-28378	11	57	a	a	DET
bracis-28378	11	58	concise	concise	ADJ
bracis-28378	11	59	perspective	perspective	NOUN
bracis-28378	11	60	article	article	NOUN
bracis-28378	11	61	12	12	NUM
bracis-28378	11	62	september	september	PROPN
bracis-28378	11	63	2021	2021	NUM
bracis-28378	11	64	explore	explore	VERB
bracis-28378	11	65	related	relate	VERB
bracis-28378	11	66	subjects	subject	NOUN
bracis-28378	11	67	discover	discover	VERB
bracis-28378	11	68	the	the	DET
bracis-28378	11	69	latest	late	ADJ
bracis-28378	11	70	articles	article	NOUN
bracis-28378	11	71	,	,	PUNCT
bracis-28378	11	72	books	book	NOUN
bracis-28378	11	73	and	and	CCONJ
bracis-28378	11	74	news	news	NOUN
bracis-28378	11	75	in	in	ADP
bracis-28378	11	76	related	related	ADJ
bracis-28378	11	77	subjects	subject	NOUN
bracis-28378	11	78	,	,	PUNCT
bracis-28378	11	79	suggested	suggest	VERB
bracis-28378	11	80	using	use	VERB
bracis-28378	11	81	machine	machine	NOUN
bracis-28378	11	82	learning	learning	NOUN
bracis-28378	11	83	.	.	PUNCT
bracis-28378	12	1	molecular	molecular	ADJ
bracis-28378	12	2	spectroscopy	spectroscopy	NOUN
bracis-28378	12	3	optical	optical	ADJ
bracis-28378	12	4	spectroscopy	spectroscopy	NOUN
bracis-28378	12	5	raman	raman	NOUN
bracis-28378	12	6	spectroscopy	spectroscopy	NOUN
bracis-28378	12	7	resonance	resonance	NOUN
bracis-28378	12	8	raman	raman	NOUN
bracis-28378	12	9	spectroscopy	spectroscopy	NOUN
bracis-28378	12	10	spectroscopy	spectroscopy	VERB
bracis-28378	12	11	surface	surface	NOUN
bracis-28378	12	12	-	-	PUNCT
bracis-28378	12	13	enhanced	enhance	VERB
bracis-28378	12	14	raman	raman	NOUN
bracis-28378	12	15	spectroscopy	spectroscopy	VERB
bracis-28378	12	16	1	1	NUM
bracis-28378	12	17	introduction	introduction	NOUN
bracis-28378	12	18	the	the	DET
bracis-28378	12	19	covid-19	covid-19	PROPN
bracis-28378	12	20	pandemic	pandemic	NOUN
bracis-28378	12	21	caused	cause	VERB
bracis-28378	12	22	an	an	DET
bracis-28378	12	23	unprecedented	unprecedented	ADJ
bracis-28378	12	24	global	global	ADJ
bracis-28378	12	25	effect	effect	NOUN
bracis-28378	12	26	on	on	ADP
bracis-28378	12	27	private	private	ADJ
bracis-28378	12	28	and	and	CCONJ
bracis-28378	12	29	public	public	ADJ
bracis-28378	12	30	healthcare	healthcare	NOUN
bracis-28378	12	31	systems	system	NOUN
bracis-28378	12	32	and	and	CCONJ
bracis-28378	12	33	social	social	ADJ
bracis-28378	12	34	and	and	CCONJ
bracis-28378	12	35	economic	economic	ADJ
bracis-28378	12	36	impacts	impact	NOUN
bracis-28378	12	37	.	.	PUNCT
bracis-28378	13	1	among	among	ADP
bracis-28378	13	2	the	the	DET
bracis-28378	13	3	covid-19	covid-19	PROPN
bracis-28378	13	4	containment	containment	NOUN
bracis-28378	13	5	measures	measure	NOUN
bracis-28378	13	6	is	be	AUX
bracis-28378	13	7	vaccination	vaccination	NOUN
bracis-28378	13	8	.	.	PUNCT
bracis-28378	14	1	however	however	ADV
bracis-28378	14	2	,	,	PUNCT
bracis-28378	14	3	the	the	DET
bracis-28378	14	4	distribution	distribution	NOUN
bracis-28378	14	5	of	of	ADP
bracis-28378	14	6	covid-19	covid-19	PROPN
bracis-28378	14	7	vaccines	vaccine	NOUN
bracis-28378	14	8	continues	continue	VERB
bracis-28378	14	9	to	to	PART
bracis-28378	14	10	be	be	AUX
bracis-28378	14	11	applied	apply	VERB
bracis-28378	14	12	with	with	ADP
bracis-28378	14	13	low	low	ADJ
bracis-28378	14	14	vaccination	vaccination	NOUN
bracis-28378	14	15	coverage	coverage	NOUN
bracis-28378	14	16	in	in	ADP
bracis-28378	14	17	underdeveloped	underdeveloped	ADJ
bracis-28378	14	18	countries	country	NOUN
bracis-28378	14	19	,	,	PUNCT
bracis-28378	14	20	especially	especially	ADV
bracis-28378	14	21	adapted	adapt	VERB
bracis-28378	14	22	vaccines	vaccine	NOUN
bracis-28378	14	23	to	to	ADP
bracis-28378	14	24	prevalent	prevalent	ADJ
bracis-28378	14	25	covid-19	covid-19	PROPN
bracis-28378	14	26	variants	variant	NOUN
bracis-28378	14	27	.	.	PUNCT
bracis-28378	15	1	therefore	therefore	ADV
bracis-28378	15	2	,	,	PUNCT
bracis-28378	15	3	mass	mass	ADJ
bracis-28378	15	4	testing	testing	NOUN
bracis-28378	15	5	for	for	ADP
bracis-28378	15	6	covid-19	covid-19	PROPN
bracis-28378	15	7	is	be	AUX
bracis-28378	15	8	still	still	ADV
bracis-28378	15	9	a	a	DET
bracis-28378	15	10	strategic	strategic	ADJ
bracis-28378	15	11	preventive	preventive	ADJ
bracis-28378	15	12	measure	measure	NOUN
bracis-28378	15	13	to	to	PART
bracis-28378	15	14	reduce	reduce	VERB
bracis-28378	15	15	its	its	PRON
bracis-28378	15	16	transmission	transmission	NOUN
bracis-28378	15	17	.	.	PUNCT
bracis-28378	16	1	there	there	PRON
bracis-28378	16	2	is	be	VERB
bracis-28378	16	3	a	a	DET
bracis-28378	16	4	need	need	NOUN
bracis-28378	16	5	for	for	ADP
bracis-28378	16	6	new	new	ADJ
bracis-28378	16	7	techniques	technique	NOUN
bracis-28378	16	8	developed	develop	VERB
bracis-28378	16	9	to	to	PART
bracis-28378	16	10	prevent	prevent	VERB
bracis-28378	16	11	it	it	PRON
bracis-28378	16	12	from	from	ADP
bracis-28378	16	13	mass	mass	NOUN
bracis-28378	16	14	propagating	propagate	VERB
bracis-28378	16	15	again	again	ADV
bracis-28378	16	16	and	and	CCONJ
bracis-28378	16	17	also	also	ADV
bracis-28378	16	18	to	to	PART
bracis-28378	16	19	prevent	prevent	VERB
bracis-28378	16	20	possible	possible	ADJ
bracis-28378	16	21	pandemic	pandemic	ADJ
bracis-28378	16	22	scenarios	scenario	NOUN
bracis-28378	16	23	.	.	PUNCT
bracis-28378	17	1	locations	location	NOUN
bracis-28378	17	2	such	such	ADJ
bracis-28378	17	3	as	as	ADP
bracis-28378	17	4	airports	airport	NOUN
bracis-28378	17	5	,	,	PUNCT
bracis-28378	17	6	schools	school	NOUN
bracis-28378	17	7	,	,	PUNCT
bracis-28378	17	8	workplaces	workplace	NOUN
bracis-28378	17	9	,	,	PUNCT
bracis-28378	17	10	and	and	CCONJ
bracis-28378	17	11	remote	remote	ADJ
bracis-28378	17	12	communities	community	NOUN
bracis-28378	17	13	would	would	AUX
bracis-28378	17	14	benefit	benefit	VERB
bracis-28378	17	15	from	from	ADP
bracis-28378	17	16	faster	fast	ADJ
bracis-28378	17	17	and	and	CCONJ
bracis-28378	17	18	reagent	reagent	ADJ
bracis-28378	17	19	-	-	PUNCT
bracis-28378	17	20	free	free	ADJ
bracis-28378	17	21	screening	screening	NOUN
bracis-28378	17	22	techniques	technique	NOUN
bracis-28378	17	23	.	.	PUNCT
bracis-28378	18	1	vibrational	vibrational	ADJ
bracis-28378	18	2	spectroscopy	spectroscopy	NOUN
bracis-28378	18	3	is	be	AUX
bracis-28378	18	4	considered	consider	VERB
bracis-28378	18	5	a	a	DET
bracis-28378	18	6	promising	promising	ADJ
bracis-28378	18	7	method	method	NOUN
bracis-28378	18	8	for	for	ADP
bracis-28378	18	9	biological	biological	ADJ
bracis-28378	18	10	analyses	analysis	NOUN
bracis-28378	18	11	.	.	PUNCT
bracis-28378	19	1	it	it	PRON
bracis-28378	19	2	enables	enable	VERB
bracis-28378	19	3	label	label	NOUN
bracis-28378	19	4	-	-	PUNCT
bracis-28378	19	5	free	free	ADJ
bracis-28378	19	6	extraction	extraction	NOUN
bracis-28378	19	7	of	of	ADP
bracis-28378	19	8	biochemical	biochemical	ADJ
bracis-28378	19	9	information	information	NOUN
bracis-28378	19	10	and	and	CCONJ
bracis-28378	19	11	images	image	NOUN
bracis-28378	19	12	toward	toward	ADP
bracis-28378	19	13	diagnosis	diagnosis	NOUN
bracis-28378	19	14	and	and	CCONJ
bracis-28378	19	15	the	the	DET
bracis-28378	19	16	assessment	assessment	NOUN
bracis-28378	19	17	of	of	ADP
bracis-28378	19	18	the	the	DET
bracis-28378	19	19	biochemical	biochemical	ADJ
bracis-28378	19	20	and	and	CCONJ
bracis-28378	19	21	molecular	molecular	ADJ
bracis-28378	19	22	composition	composition	NOUN
bracis-28378	19	23	of	of	ADP
bracis-28378	19	24	biofluids	biofluid	NOUN
bracis-28378	19	25	[	[	X
bracis-28378	19	26	1	1	NUM
bracis-28378	19	27	]	]	PUNCT
bracis-28378	19	28	.	.	PUNCT
bracis-28378	20	1	vibrational	vibrational	ADJ
bracis-28378	20	2	spectroscopy	spectroscopy	NOUN
bracis-28378	20	3	techniques	technique	NOUN
bracis-28378	20	4	are	be	AUX
bracis-28378	20	5	bioanalytical	bioanalytical	ADJ
bracis-28378	20	6	approaches	approach	NOUN
bracis-28378	20	7	with	with	ADP
bracis-28378	20	8	great	great	ADJ
bracis-28378	20	9	potential	potential	NOUN
bracis-28378	20	10	to	to	PART
bracis-28378	20	11	discriminate	discriminate	VERB
bracis-28378	20	12	between	between	ADP
bracis-28378	20	13	healthy	healthy	ADJ
bracis-28378	20	14	and	and	CCONJ
bracis-28378	20	15	pathological	pathological	ADJ
bracis-28378	20	16	conditions	condition	NOUN
bracis-28378	20	17	,	,	PUNCT
bracis-28378	20	18	like	like	ADP
bracis-28378	20	19	diabetes	diabetes	NOUN
bracis-28378	20	20	mellitus	mellitus	NOUN
bracis-28378	21	1	[	[	X
bracis-28378	21	2	4	4	X
bracis-28378	21	3	]	]	PUNCT
bracis-28378	21	4	and	and	CCONJ
bracis-28378	21	5	zika	zika	X
bracis-28378	21	6	virus	virus	NOUN
bracis-28378	21	7	[	[	X
bracis-28378	21	8	15	15	NUM
bracis-28378	21	9	]	]	PUNCT
bracis-28378	21	10	.	.	PUNCT
bracis-28378	22	1	in	in	ADP
bracis-28378	22	2	addition	addition	NOUN
bracis-28378	22	3	,	,	PUNCT
bracis-28378	22	4	it	it	PRON
bracis-28378	22	5	allows	allow	VERB
bracis-28378	22	6	the	the	DET
bracis-28378	22	7	analysis	analysis	NOUN
bracis-28378	22	8	of	of	ADP
bracis-28378	22	9	different	different	ADJ
bracis-28378	22	10	bio	bio	NOUN
bracis-28378	22	11	-	-	PUNCT
bracis-28378	22	12	fluids	fluid	NOUN
bracis-28378	22	13	,	,	PUNCT
bracis-28378	22	14	such	such	ADJ
bracis-28378	22	15	as	as	ADP
bracis-28378	22	16	blood	blood	NOUN
bracis-28378	22	17	,	,	PUNCT
bracis-28378	22	18	urine	urine	NOUN
bracis-28378	22	19	,	,	PUNCT
bracis-28378	22	20	saliva	saliva	NOUN
bracis-28378	22	21	,	,	PUNCT
bracis-28378	22	22	and	and	CCONJ
bracis-28378	22	23	tissues	tissue	NOUN
bracis-28378	22	24	[	[	X
bracis-28378	22	25	2	2	NUM
bracis-28378	22	26	,	,	PUNCT
bracis-28378	22	27	14	14	NUM
bracis-28378	22	28	,	,	PUNCT
bracis-28378	22	29	18	18	NUM
bracis-28378	22	30	]	]	PUNCT
bracis-28378	22	31	.	.	PUNCT
bracis-28378	23	1	among	among	ADP
bracis-28378	23	2	several	several	ADJ
bracis-28378	23	3	vibrational	vibrational	ADJ
bracis-28378	23	4	spectroscopy	spectroscopy	NOUN
bracis-28378	23	5	technologies	technology	NOUN
bracis-28378	23	6	,	,	PUNCT
bracis-28378	23	7	raman	raman	NOUN
bracis-28378	23	8	is	be	AUX
bracis-28378	23	9	known	know	VERB
bracis-28378	23	10	by	by	ADP
bracis-28378	23	11	its	its	PRON
bracis-28378	23	12	ability	ability	NOUN
bracis-28378	23	13	to	to	PART
bracis-28378	23	14	determine	determine	VERB
bracis-28378	23	15	molecular	molecular	ADJ
bracis-28378	23	16	components	component	NOUN
bracis-28378	23	17	of	of	ADP
bracis-28378	23	18	various	various	ADJ
bracis-28378	23	19	types	type	NOUN
bracis-28378	23	20	of	of	ADP
bracis-28378	23	21	materials	material	NOUN
bracis-28378	23	22	quickly	quickly	ADV
bracis-28378	23	23	and	and	CCONJ
bracis-28378	23	24	without	without	ADP
bracis-28378	23	25	the	the	DET
bracis-28378	23	26	need	need	NOUN
bracis-28378	23	27	for	for	ADP
bracis-28378	23	28	the	the	DET
bracis-28378	23	29	use	use	NOUN
bracis-28378	23	30	of	of	ADP
bracis-28378	23	31	reagents	reagent	NOUN
bracis-28378	23	32	.	.	PUNCT
bracis-28378	24	1	it	it	PRON
bracis-28378	24	2	uses	use	VERB
bracis-28378	24	3	inelastic	inelastic	ADJ
bracis-28378	24	4	light	light	ADJ
bracis-28378	24	5	scattering	scattering	NOUN
bracis-28378	24	6	based	base	VERB
bracis-28378	24	7	on	on	ADP
bracis-28378	24	8	a	a	DET
bracis-28378	24	9	monochromatic	monochromatic	ADJ
bracis-28378	24	10	laser	laser	NOUN
bracis-28378	24	11	source	source	NOUN
bracis-28378	24	12	.	.	PUNCT
bracis-28378	25	1	the	the	DET
bracis-28378	25	2	changes	change	NOUN
bracis-28378	25	3	in	in	ADP
bracis-28378	25	4	the	the	DET
bracis-28378	25	5	spectra	spectra	NOUN
bracis-28378	25	6	represent	represent	VERB
bracis-28378	25	7	parts	part	NOUN
bracis-28378	25	8	of	of	ADP
bracis-28378	25	9	specific	specific	ADJ
bracis-28378	25	10	molecules	molecule	NOUN
bracis-28378	25	11	.	.	PUNCT
bracis-28378	26	1	each	each	DET
bracis-28378	26	2	raman	raman	NOUN
bracis-28378	26	3	shift	shift	NOUN
bracis-28378	26	4	is	be	AUX
bracis-28378	26	5	unique	unique	ADJ
bracis-28378	26	6	in	in	ADP
bracis-28378	26	7	each	each	DET
bracis-28378	26	8	wavenumber	wavenumber	NOUN
bracis-28378	26	9	frequency	frequency	NOUN
bracis-28378	26	10	,	,	PUNCT
bracis-28378	26	11	representing	represent	VERB
bracis-28378	26	12	a	a	DET
bracis-28378	26	13	specific	specific	ADJ
bracis-28378	26	14	functional	functional	ADJ
bracis-28378	26	15	group	group	NOUN
bracis-28378	26	16	[	[	X
bracis-28378	26	17	8	8	NUM
bracis-28378	26	18	]	]	PUNCT
bracis-28378	26	19	.	.	PUNCT
bracis-28378	27	1	the	the	DET
bracis-28378	27	2	application	application	NOUN
bracis-28378	27	3	of	of	ADP
bracis-28378	27	4	biofluids	biofluid	NOUN
bracis-28378	27	5	in	in	ADP
bracis-28378	27	6	raman	raman	NOUN
bracis-28378	27	7	spectroscopy	spectroscopy	NOUN
bracis-28378	27	8	for	for	ADP
bracis-28378	27	9	diagnostic	diagnostic	ADJ
bracis-28378	27	10	or	or	CCONJ
bracis-28378	27	11	screening	screen	VERB
bracis-28378	27	12	fields	field	NOUN
bracis-28378	27	13	permits	permit	VERB
bracis-28378	27	14	simple	simple	ADJ
bracis-28378	27	15	sample	sample	NOUN
bracis-28378	27	16	preparation	preparation	NOUN
bracis-28378	27	17	without	without	ADP
bracis-28378	27	18	the	the	DET
bracis-28378	27	19	insertion	insertion	NOUN
bracis-28378	27	20	of	of	ADP
bracis-28378	27	21	reagents	reagent	NOUN
bracis-28378	27	22	and	and	CCONJ
bracis-28378	27	23	thus	thus	ADV
bracis-28378	27	24	can	can	AUX
bracis-28378	27	25	be	be	AUX
bracis-28378	27	26	considered	consider	VERB
bracis-28378	27	27	a	a	DET
bracis-28378	27	28	green	green	ADJ
bracis-28378	27	29	technology	technology	NOUN
bracis-28378	27	30	due	due	ADP
bracis-28378	27	31	to	to	ADP
bracis-28378	27	32	a	a	DET
bracis-28378	27	33	significant	significant	ADJ
bracis-28378	27	34	reduction	reduction	NOUN
bracis-28378	27	35	in	in	ADP
bracis-28378	27	36	environmental	environmental	ADJ
bracis-28378	27	37	waste	waste	NOUN
bracis-28378	27	38	[	[	X
bracis-28378	27	39	8	8	NUM
bracis-28378	27	40	]	]	PUNCT
bracis-28378	27	41	.	.	PUNCT
bracis-28378	28	1	furthermore	furthermore	ADV
bracis-28378	28	2	,	,	PUNCT
bracis-28378	28	3	its	its	PRON
bracis-28378	28	4	usage	usage	NOUN
bracis-28378	28	5	has	have	AUX
bracis-28378	28	6	been	be	AUX
bracis-28378	28	7	investigated	investigate	VERB
bracis-28378	28	8	in	in	ADP
bracis-28378	28	9	the	the	DET
bracis-28378	28	10	diagnosis	diagnosis	NOUN
bracis-28378	28	11	of	of	ADP
bracis-28378	28	12	several	several	ADJ
bracis-28378	28	13	diseases	disease	NOUN
bracis-28378	28	14	like	like	ADP
bracis-28378	28	15	breast	breast	NOUN
bracis-28378	28	16	,	,	PUNCT
bracis-28378	28	17	colon	colon	NOUN
bracis-28378	28	18	,	,	PUNCT
bracis-28378	28	19	lung	lung	NOUN
bracis-28378	28	20	,	,	PUNCT
bracis-28378	28	21	and	and	CCONJ
bracis-28378	28	22	prostate	prostate	NOUN
bracis-28378	28	23	cancers	cancer	NOUN
bracis-28378	28	24	[	[	X
bracis-28378	28	25	9	9	NUM
bracis-28378	28	26	]	]	PUNCT
bracis-28378	28	27	.	.	PUNCT
bracis-28378	29	1	in	in	ADP
bracis-28378	29	2	this	this	DET
bracis-28378	29	3	paper	paper	NOUN
bracis-28378	29	4	,	,	PUNCT
bracis-28378	29	5	we	we	PRON
bracis-28378	29	6	are	be	AUX
bracis-28378	29	7	interested	interested	ADJ
bracis-28378	29	8	in	in	ADP
bracis-28378	29	9	the	the	DET
bracis-28378	29	10	analysis	analysis	NOUN
bracis-28378	29	11	of	of	ADP
bracis-28378	29	12	raman	raman	NOUN
bracis-28378	29	13	spectra	spectra	NOUN
bracis-28378	29	14	obtained	obtain	VERB
bracis-28378	29	15	from	from	ADP
bracis-28378	29	16	blood	blood	NOUN
bracis-28378	29	17	serum	serum	NOUN
bracis-28378	29	18	samples	sample	NOUN
bracis-28378	29	19	for	for	ADP
bracis-28378	29	20	the	the	DET
bracis-28378	29	21	detection	detection	NOUN
bracis-28378	29	22	of	of	ADP
bracis-28378	29	23	covid-19	covid-19	PROPN
bracis-28378	29	24	.	.	PUNCT
bracis-28378	30	1	the	the	DET
bracis-28378	30	2	ongoing	ongoing	ADJ
bracis-28378	30	3	covid-19	covid-19	PROPN
bracis-28378	30	4	pandemic	pandemic	NOUN
bracis-28378	30	5	caused	cause	VERB
bracis-28378	30	6	an	an	DET
bracis-28378	30	7	unprecedented	unprecedented	ADJ
bracis-28378	30	8	overburning	overburning	NOUN
bracis-28378	30	9	of	of	ADP
bracis-28378	30	10	healthcare	healthcare	NOUN
bracis-28378	30	11	systems	system	NOUN
bracis-28378	30	12	and	and	CCONJ
bracis-28378	30	13	still	still	ADV
bracis-28378	30	14	represents	represent	VERB
bracis-28378	30	15	a	a	DET
bracis-28378	30	16	global	global	ADJ
bracis-28378	30	17	health	health	NOUN
bracis-28378	30	18	issue	issue	NOUN
bracis-28378	30	19	with	with	ADP
bracis-28378	30	20	the	the	DET
bracis-28378	30	21	emergence	emergence	NOUN
bracis-28378	30	22	of	of	ADP
bracis-28378	30	23	covid-19	covid-19	PROPN
bracis-28378	30	24	variants	variant	NOUN
bracis-28378	30	25	.	.	PUNCT
bracis-28378	31	1	due	due	ADP
bracis-28378	31	2	to	to	ADP
bracis-28378	31	3	the	the	DET
bracis-28378	31	4	relevance	relevance	NOUN
bracis-28378	31	5	of	of	ADP
bracis-28378	31	6	the	the	DET
bracis-28378	31	7	topic	topic	NOUN
bracis-28378	31	8	,	,	PUNCT
bracis-28378	31	9	there	there	PRON
bracis-28378	31	10	are	be	VERB
bracis-28378	31	11	already	already	ADV
bracis-28378	31	12	some	some	DET
bracis-28378	31	13	related	related	ADJ
bracis-28378	31	14	works	work	NOUN
bracis-28378	31	15	in	in	ADP
bracis-28378	31	16	the	the	DET
bracis-28378	31	17	literature	literature	NOUN
bracis-28378	31	18	.	.	PUNCT
bracis-28378	32	1	in	in	ADP
bracis-28378	32	2	[	[	X
bracis-28378	32	3	18	18	NUM
bracis-28378	32	4	]	]	PUNCT
bracis-28378	32	5	the	the	DET
bracis-28378	32	6	authors	author	NOUN
bracis-28378	32	7	presented	present	VERB
bracis-28378	32	8	a	a	DET
bracis-28378	32	9	support	support	NOUN
bracis-28378	32	10	vector	vector	NOUN
bracis-28378	32	11	machine	machine	NOUN
bracis-28378	32	12	(	(	PUNCT
bracis-28378	32	13	svm	svm	PROPN
bracis-28378	32	14	)	)	PUNCT
bracis-28378	32	15	model	model	NOUN
bracis-28378	32	16	to	to	PART
bracis-28378	32	17	detect	detect	VERB
bracis-28378	32	18	covid-19	covid-19	PROPN
bracis-28378	32	19	using	use	VERB
bracis-28378	32	20	raman	raman	NOUN
bracis-28378	32	21	spectrum	spectrum	NOUN
bracis-28378	32	22	of	of	ADP
bracis-28378	32	23	serum	serum	NOUN
bracis-28378	32	24	samples	sample	NOUN
bracis-28378	32	25	,	,	PUNCT
bracis-28378	32	26	and	and	CCONJ
bracis-28378	32	27	in	in	ADP
bracis-28378	32	28	[	[	X
bracis-28378	32	29	19	19	NUM
bracis-28378	32	30	]	]	PUNCT
bracis-28378	32	31	the	the	DET
bracis-28378	32	32	authors	author	NOUN
bracis-28378	32	33	extended	extend	VERB
bracis-28378	32	34	the	the	DET
bracis-28378	32	35	work	work	NOUN
bracis-28378	32	36	of	of	ADP
bracis-28378	32	37	[	[	X
bracis-28378	32	38	18	18	NUM
bracis-28378	32	39	]	]	PUNCT
bracis-28378	32	40	by	by	ADP
bracis-28378	32	41	combining	combine	VERB
bracis-28378	32	42	the	the	DET
bracis-28378	32	43	svm	svm	NOUN
bracis-28378	32	44	with	with	ADP
bracis-28378	32	45	an	an	DET
bracis-28378	32	46	extreme	extreme	ADJ
bracis-28378	32	47	gradient	gradient	NOUN
bracis-28378	32	48	boosting	boost	VERB
bracis-28378	32	49	(	(	PUNCT
bracis-28378	32	50	xgb	xgb	ADJ
bracis-28378	32	51	)	)	PUNCT
bracis-28378	32	52	technique	technique	NOUN
bracis-28378	32	53	.	.	PUNCT
bracis-28378	33	1	despite	despite	SCONJ
bracis-28378	33	2	the	the	DET
bracis-28378	33	3	raman	raman	NOUN
bracis-28378	33	4	spectroscopy	spectroscopy	NOUN
bracis-28378	33	5	data	datum	NOUN
bracis-28378	33	6	used	use	VERB
bracis-28378	33	7	in	in	ADP
bracis-28378	33	8	[	[	X
bracis-28378	33	9	18	18	NUM
bracis-28378	33	10	,	,	PUNCT
bracis-28378	33	11	19	19	NUM
bracis-28378	33	12	]	]	PUNCT
bracis-28378	33	13	being	be	AUX
bracis-28378	33	14	the	the	DET
bracis-28378	33	15	same	same	ADJ
bracis-28378	33	16	considered	consider	VERB
bracis-28378	33	17	in	in	ADP
bracis-28378	33	18	our	our	PRON
bracis-28378	33	19	research	research	NOUN
bracis-28378	33	20	,	,	PUNCT
bracis-28378	33	21	our	our	PRON
bracis-28378	33	22	work	work	NOUN
bracis-28378	33	23	goes	go	VERB
bracis-28378	33	24	a	a	DET
bracis-28378	33	25	step	step	NOUN
bracis-28378	33	26	further	far	ADV
bracis-28378	33	27	by	by	ADP
bracis-28378	33	28	investigating	investigate	VERB
bracis-28378	33	29	deep	deep	ADJ
bracis-28378	33	30	learning	learning	NOUN
bracis-28378	33	31	techniques	technique	NOUN
bracis-28378	33	32	,	,	PUNCT
bracis-28378	33	33	like	like	ADP
bracis-28378	33	34	convolutional	convolutional	ADJ
bracis-28378	33	35	neural	neural	ADJ
bracis-28378	33	36	networks	network	NOUN
bracis-28378	33	37	(	(	PUNCT
bracis-28378	33	38	cnns	cnns	PROPN
bracis-28378	33	39	)	)	PUNCT
bracis-28378	33	40	.	.	PUNCT
bracis-28378	34	1	different	different	ADJ
bracis-28378	34	2	from	from	ADP
bracis-28378	34	3	most	most	ADJ
bracis-28378	34	4	raman	raman	ADJ
bracis-28378	34	5	spectra	spectra	ADJ
bracis-28378	34	6	analysis	analysis	NOUN
bracis-28378	34	7	,	,	PUNCT
bracis-28378	34	8	which	which	PRON
bracis-28378	34	9	adopts	adopt	VERB
bracis-28378	34	10	simple	simple	ADJ
bracis-28378	34	11	statistical	statistical	ADJ
bracis-28378	34	12	analysis	analysis	NOUN
bracis-28378	34	13	[	[	X
bracis-28378	34	14	6	6	NUM
bracis-28378	34	15	]	]	PUNCT
bracis-28378	34	16	,	,	PUNCT
bracis-28378	34	17	and	and	CCONJ
bracis-28378	34	18	also	also	ADV
bracis-28378	34	19	of	of	ADP
bracis-28378	34	20	some	some	DET
bracis-28378	34	21	machine	machine	NOUN
bracis-28378	34	22	learning	learn	VERB
bracis-28378	34	23	initiatives	initiative	NOUN
bracis-28378	34	24	with	with	ADP
bracis-28378	34	25	raman	raman	NOUN
bracis-28378	34	26	,	,	PUNCT
bracis-28378	34	27	which	which	PRON
bracis-28378	34	28	are	be	AUX
bracis-28378	34	29	focused	focus	VERB
bracis-28378	34	30	on	on	ADP
bracis-28378	34	31	traditional	traditional	ADJ
bracis-28378	34	32	classifiers	classifier	NOUN
bracis-28378	34	33	[	[	X
bracis-28378	34	34	18	18	NUM
bracis-28378	34	35	,	,	PUNCT
bracis-28378	34	36	19	19	NUM
bracis-28378	34	37	]	]	PUNCT
bracis-28378	34	38	,	,	PUNCT
bracis-28378	34	39	we	we	PRON
bracis-28378	34	40	hypothesize	hypothesize	VERB
bracis-28378	34	41	that	that	SCONJ
bracis-28378	34	42	convolutional	convolutional	ADJ
bracis-28378	34	43	neural	neural	ADJ
bracis-28378	34	44	networks	network	NOUN
bracis-28378	34	45	[	[	X
bracis-28378	34	46	2	2	NUM
bracis-28378	34	47	]	]	PUNCT
bracis-28378	34	48	can	can	AUX
bracis-28378	34	49	contribute	contribute	VERB
bracis-28378	34	50	in	in	ADP
bracis-28378	34	51	the	the	DET
bracis-28378	34	52	detection	detection	NOUN
bracis-28378	34	53	of	of	ADP
bracis-28378	34	54	covid-19	covid-19	PROPN
bracis-28378	34	55	from	from	ADP
bracis-28378	34	56	raman	raman	NOUN
bracis-28378	34	57	spectra	spectra	NOUN
bracis-28378	34	58	of	of	ADP
bracis-28378	34	59	serum	serum	NOUN
bracis-28378	34	60	samples	sample	NOUN
bracis-28378	34	61	by	by	ADP
bracis-28378	34	62	efficiently	efficiently	ADV
bracis-28378	34	63	learning	learn	VERB
bracis-28378	34	64	robust	robust	ADJ
bracis-28378	34	65	representations	representation	NOUN
bracis-28378	34	66	of	of	ADP
bracis-28378	34	67	such	such	DET
bracis-28378	34	68	a	a	DET
bracis-28378	34	69	problem	problem	NOUN
bracis-28378	34	70	and	and	CCONJ
bracis-28378	34	71	also	also	ADV
bracis-28378	34	72	improve	improve	VERB
bracis-28378	34	73	model	model	NOUN
bracis-28378	34	74	explainability	explainability	NOUN
bracis-28378	34	75	.	.	PUNCT
bracis-28378	35	1	despite	despite	SCONJ
bracis-28378	35	2	some	some	DET
bracis-28378	35	3	few	few	ADJ
bracis-28378	35	4	works	work	NOUN
bracis-28378	35	5	have	have	AUX
bracis-28378	35	6	already	already	ADV
bracis-28378	35	7	applied	apply	VERB
bracis-28378	35	8	1d	1d	NUM
bracis-28378	35	9	cnn	cnn	NOUN
bracis-28378	35	10	to	to	PART
bracis-28378	35	11	classify	classify	VERB
bracis-28378	35	12	breast	breast	NOUN
bracis-28378	35	13	cancer	cancer	NOUN
bracis-28378	35	14	,	,	PUNCT
bracis-28378	35	15	minerals	mineral	NOUN
bracis-28378	35	16	,	,	PUNCT
bracis-28378	35	17	and	and	CCONJ
bracis-28378	35	18	pancreatic	pancreatic	ADJ
bracis-28378	35	19	cancer	cancer	NOUN
bracis-28378	35	20	by	by	ADP
bracis-28378	35	21	raman	raman	NOUN
bracis-28378	35	22	spectroscopy	spectroscopy	NOUN
bracis-28378	35	23	,	,	PUNCT
bracis-28378	35	24	e.g.	e.g.	ADV
bracis-28378	35	25	,	,	PUNCT
bracis-28378	35	26	[	[	X
bracis-28378	35	27	11	11	NUM
bracis-28378	35	28	,	,	PUNCT
bracis-28378	35	29	13	13	NUM
bracis-28378	35	30	,	,	PUNCT
bracis-28378	35	31	16	16	NUM
bracis-28378	35	32	]	]	PUNCT
bracis-28378	35	33	,	,	PUNCT
bracis-28378	35	34	the	the	DET
bracis-28378	35	35	investigation	investigation	NOUN
bracis-28378	35	36	of	of	ADP
bracis-28378	35	37	such	such	ADJ
bracis-28378	35	38	architectures	architecture	NOUN
bracis-28378	35	39	for	for	ADP
bracis-28378	35	40	covid-19	covid-19	PROPN
bracis-28378	35	41	detection	detection	NOUN
bracis-28378	35	42	from	from	ADP
bracis-28378	35	43	raman	raman	NOUN
bracis-28378	35	44	spectra	spectra	NOUN
bracis-28378	35	45	is	be	AUX
bracis-28378	35	46	yet	yet	ADV
bracis-28378	35	47	a	a	DET
bracis-28378	35	48	barely	barely	ADV
bracis-28378	35	49	explored	explore	VERB
bracis-28378	35	50	topic	topic	NOUN
bracis-28378	35	51	in	in	ADP
bracis-28378	35	52	the	the	DET
bracis-28378	35	53	literature	literature	NOUN
bracis-28378	35	54	.	.	PUNCT
bracis-28378	36	1	therefore	therefore	ADV
bracis-28378	36	2	,	,	PUNCT
bracis-28378	36	3	the	the	DET
bracis-28378	36	4	work	work	NOUN
bracis-28378	36	5	most	most	ADV
bracis-28378	36	6	related	related	ADJ
bracis-28378	36	7	to	to	ADP
bracis-28378	36	8	ours	ours	PRON
bracis-28378	36	9	in	in	ADP
bracis-28378	36	10	the	the	DET
bracis-28378	36	11	literature	literature	NOUN
bracis-28378	36	12	is	be	AUX
bracis-28378	36	13	the	the	DET
bracis-28378	36	14	study	study	NOUN
bracis-28378	36	15	presented	present	VERB
bracis-28378	36	16	in	in	ADP
bracis-28378	36	17	[	[	X
bracis-28378	36	18	5	5	NUM
bracis-28378	36	19	]	]	PUNCT
bracis-28378	36	20	,	,	PUNCT
bracis-28378	36	21	which	which	PRON
bracis-28378	36	22	investigated	investigate	VERB
bracis-28378	36	23	traditional	traditional	ADJ
bracis-28378	36	24	and	and	CCONJ
bracis-28378	36	25	deep	deep	ADJ
bracis-28378	36	26	learning	learning	NOUN
bracis-28378	36	27	techniques	technique	NOUN
bracis-28378	36	28	for	for	ADP
bracis-28378	36	29	the	the	DET
bracis-28378	36	30	diagnosis	diagnosis	NOUN
bracis-28378	36	31	of	of	ADP
bracis-28378	36	32	covid-19	covid-19	PROPN
bracis-28378	36	33	using	use	VERB
bracis-28378	36	34	raman	raman	NOUN
bracis-28378	36	35	spectroscopy	spectroscopy	NOUN
bracis-28378	36	36	.	.	PUNCT
bracis-28378	37	1	in	in	ADP
bracis-28378	37	2	that	that	DET
bracis-28378	37	3	work	work	NOUN
bracis-28378	37	4	,	,	PUNCT
bracis-28378	37	5	the	the	DET
bracis-28378	37	6	authors	author	NOUN
bracis-28378	37	7	evaluated	evaluate	VERB
bracis-28378	37	8	svm	svm	PROPN
bracis-28378	37	9	,	,	PUNCT
bracis-28378	37	10	xgb	xgb	NUM
bracis-28378	37	11	,	,	PUNCT
bracis-28378	37	12	random	random	ADJ
bracis-28378	37	13	forest	forest	NOUN
bracis-28378	37	14	(	(	PUNCT
bracis-28378	37	15	rf	rf	NOUN
bracis-28378	37	16	)	)	PUNCT
bracis-28378	37	17	,	,	PUNCT
bracis-28378	37	18	and	and	CCONJ
bracis-28378	37	19	cnn	cnn	PROPN
bracis-28378	37	20	,	,	PUNCT
bracis-28378	37	21	which	which	PRON
bracis-28378	37	22	achieved	achieve	VERB
bracis-28378	37	23	good	good	ADJ
bracis-28378	37	24	predictive	predictive	ADJ
bracis-28378	37	25	performance	performance	NOUN
bracis-28378	37	26	over	over	ADP
bracis-28378	37	27	several	several	ADJ
bracis-28378	37	28	groups	group	NOUN
bracis-28378	37	29	of	of	ADP
bracis-28378	37	30	experiments	experiment	NOUN
bracis-28378	37	31	.	.	PUNCT
bracis-28378	38	1	however	however	ADV
bracis-28378	38	2	,	,	PUNCT
bracis-28378	38	3	our	our	PRON
bracis-28378	38	4	work	work	NOUN
bracis-28378	38	5	differs	differ	VERB
bracis-28378	38	6	from	from	ADP
bracis-28378	38	7	this	this	PRON
bracis-28378	38	8	for	for	ADP
bracis-28378	38	9	some	some	DET
bracis-28378	38	10	reasons	reason	NOUN
bracis-28378	38	11	,	,	PUNCT
bracis-28378	38	12	such	such	ADJ
bracis-28378	38	13	as	as	ADP
bracis-28378	38	14	:	:	PUNCT
bracis-28378	38	15	we	we	PRON
bracis-28378	38	16	consider	consider	VERB
bracis-28378	38	17	raman	raman	ADJ
bracis-28378	38	18	spectra	spectra	NOUN
bracis-28378	38	19	of	of	ADP
bracis-28378	38	20	serum	serum	NOUN
bracis-28378	38	21	samples	sample	NOUN
bracis-28378	38	22	instead	instead	ADV
bracis-28378	38	23	of	of	ADP
bracis-28378	38	24	saliva	saliva	NOUN
bracis-28378	38	25	ones	one	NOUN
bracis-28378	38	26	;	;	PUNCT
bracis-28378	38	27	we	we	PRON
bracis-28378	38	28	consider	consider	VERB
bracis-28378	38	29	a	a	DET
bracis-28378	38	30	publicly	publicly	ADV
bracis-28378	38	31	available	available	ADJ
bracis-28378	38	32	raman	raman	NOUN
bracis-28378	38	33	data	datum	NOUN
bracis-28378	38	34	set	set	VERB
bracis-28378	38	35	instead	instead	ADV
bracis-28378	38	36	of	of	ADP
bracis-28378	38	37	a	a	DET
bracis-28378	38	38	private	private	ADJ
bracis-28378	38	39	one	one	NOUN
bracis-28378	38	40	,	,	PUNCT
bracis-28378	38	41	which	which	PRON
bracis-28378	38	42	benefits	benefit	VERB
bracis-28378	38	43	reproducibility	reproducibility	NOUN
bracis-28378	38	44	aspects	aspect	NOUN
bracis-28378	38	45	;	;	PUNCT
bracis-28378	38	46	and	and	CCONJ
bracis-28378	38	47	besides	besides	SCONJ
bracis-28378	38	48	the	the	DET
bracis-28378	38	49	predictive	predictive	ADJ
bracis-28378	38	50	performance	performance	NOUN
bracis-28378	38	51	,	,	PUNCT
bracis-28378	38	52	we	we	PRON
bracis-28378	38	53	also	also	ADV
bracis-28378	38	54	are	be	AUX
bracis-28378	38	55	interested	interested	ADJ
bracis-28378	38	56	in	in	ADP
bracis-28378	38	57	the	the	DET
bracis-28378	38	58	explainability	explainability	NOUN
bracis-28378	38	59	analysis	analysis	NOUN
bracis-28378	38	60	.	.	PUNCT
bracis-28378	39	1	the	the	DET
bracis-28378	39	2	main	main	ADJ
bracis-28378	39	3	obstacle	obstacle	NOUN
bracis-28378	39	4	to	to	PART
bracis-28378	39	5	differentiate	differentiate	VERB
bracis-28378	39	6	each	each	DET
bracis-28378	39	7	class	class	NOUN
bracis-28378	39	8	based	base	VERB
bracis-28378	39	9	on	on	ADP
bracis-28378	39	10	the	the	DET
bracis-28378	39	11	raman	raman	NOUN
bracis-28378	39	12	spectrum	spectrum	NOUN
bracis-28378	39	13	from	from	ADP
bracis-28378	39	14	control	control	NOUN
bracis-28378	39	15	and	and	CCONJ
bracis-28378	39	16	covid-19	covid-19	PROPN
bracis-28378	39	17	samples	sample	NOUN
bracis-28378	39	18	is	be	AUX
bracis-28378	39	19	the	the	DET
bracis-28378	39	20	similarity	similarity	NOUN
bracis-28378	39	21	of	of	ADP
bracis-28378	39	22	both	both	DET
bracis-28378	39	23	spectra	spectra	PROPN
bracis-28378	39	24	.	.	PUNCT
bracis-28378	40	1	the	the	DET
bracis-28378	40	2	complexity	complexity	NOUN
bracis-28378	40	3	of	of	ADP
bracis-28378	40	4	the	the	DET
bracis-28378	40	5	dataset	dataset	NOUN
bracis-28378	40	6	is	be	AUX
bracis-28378	40	7	a	a	DET
bracis-28378	40	8	critical	critical	ADJ
bracis-28378	40	9	feature	feature	NOUN
bracis-28378	40	10	to	to	PART
bracis-28378	40	11	solve	solve	VERB
bracis-28378	40	12	issues	issue	NOUN
bracis-28378	40	13	for	for	ADP
bracis-28378	40	14	discriminating	discriminate	VERB
bracis-28378	40	15	samples	sample	NOUN
bracis-28378	40	16	of	of	ADP
bracis-28378	40	17	each	each	DET
bracis-28378	40	18	class	class	NOUN
bracis-28378	40	19	.	.	PUNCT
bracis-28378	41	1	truncation	truncation	NOUN
bracis-28378	41	2	in	in	ADP
bracis-28378	41	3	regions	region	NOUN
bracis-28378	41	4	with	with	ADP
bracis-28378	41	5	organic	organic	ADJ
bracis-28378	41	6	compounds	compound	NOUN
bracis-28378	41	7	can	can	AUX
bracis-28378	41	8	be	be	AUX
bracis-28378	41	9	performed	perform	VERB
bracis-28378	41	10	at	at	ADP
bracis-28378	41	11	specific	specific	ADJ
bracis-28378	41	12	wavelength	wavelength	NOUN
bracis-28378	41	13	regions	region	NOUN
bracis-28378	41	14	.	.	PUNCT
bracis-28378	42	1	the	the	DET
bracis-28378	42	2	raman	raman	NOUN
bracis-28378	42	3	dataset	dataset	NOUN
bracis-28378	42	4	analyses	analysis	NOUN
bracis-28378	42	5	and	and	CCONJ
bracis-28378	42	6	interpretation	interpretation	NOUN
bracis-28378	42	7	require	require	NOUN
bracis-28378	42	8	expertise	expertise	NOUN
bracis-28378	42	9	due	due	ADP
bracis-28378	42	10	to	to	ADP
bracis-28378	42	11	the	the	DET
bracis-28378	42	12	potential	potential	ADJ
bracis-28378	42	13	overlap	overlap	NOUN
bracis-28378	42	14	of	of	ADP
bracis-28378	42	15	peaks	peak	NOUN
bracis-28378	42	16	corresponding	correspond	VERB
bracis-28378	42	17	to	to	ADP
bracis-28378	42	18	distinct	distinct	ADJ
bracis-28378	42	19	chemical	chemical	NOUN
bracis-28378	42	20	components	component	NOUN
bracis-28378	42	21	.	.	PUNCT
bracis-28378	43	1	the	the	DET
bracis-28378	43	2	raman	raman	ADJ
bracis-28378	43	3	spectra	spectra	ADJ
bracis-28378	43	4	differentiation	differentiation	NOUN
bracis-28378	43	5	can	can	AUX
bracis-28378	43	6	be	be	AUX
bracis-28378	43	7	especially	especially	ADV
bracis-28378	43	8	problematic	problematic	ADJ
bracis-28378	43	9	in	in	ADP
bracis-28378	43	10	complex	complex	ADJ
bracis-28378	43	11	biofluids	biofluid	NOUN
bracis-28378	43	12	with	with	ADP
bracis-28378	43	13	thousands	thousand	NOUN
bracis-28378	43	14	of	of	ADP
bracis-28378	43	15	molecular	molecular	ADJ
bracis-28378	43	16	components	component	NOUN
bracis-28378	43	17	,	,	PUNCT
bracis-28378	43	18	featuring	feature	VERB
bracis-28378	43	19	variability	variability	NOUN
bracis-28378	43	20	which	which	PRON
bracis-28378	43	21	is	be	AUX
bracis-28378	43	22	an	an	DET
bracis-28378	43	23	issue	issue	NOUN
bracis-28378	43	24	for	for	ADP
bracis-28378	43	25	discrimination	discrimination	NOUN
bracis-28378	43	26	.	.	PUNCT
bracis-28378	44	1	this	this	DET
bracis-28378	44	2	spectral	spectral	ADJ
bracis-28378	44	3	variability	variability	NOUN
bracis-28378	44	4	can	can	AUX
bracis-28378	44	5	impact	impact	VERB
bracis-28378	44	6	the	the	DET
bracis-28378	44	7	accuracy	accuracy	NOUN
bracis-28378	44	8	and	and	CCONJ
bracis-28378	44	9	discrimination	discrimination	NOUN
bracis-28378	44	10	associated	associate	VERB
bracis-28378	44	11	with	with	ADP
bracis-28378	44	12	high	high	ADJ
bracis-28378	44	13	-	-	PUNCT
bracis-28378	44	14	dimensional	dimensional	ADJ
bracis-28378	44	15	data	datum	NOUN
bracis-28378	44	16	,	,	PUNCT
bracis-28378	44	17	with	with	ADP
bracis-28378	44	18	a	a	DET
bracis-28378	44	19	large	large	ADJ
bracis-28378	44	20	number	number	NOUN
bracis-28378	44	21	of	of	ADP
bracis-28378	44	22	wavelengths	wavelength	NOUN
bracis-28378	44	23	contributing	contribute	VERB
bracis-28378	44	24	to	to	ADP
bracis-28378	44	25	the	the	DET
bracis-28378	44	26	spectrum	spectrum	NOUN
bracis-28378	44	27	.	.	PUNCT
bracis-28378	45	1	the	the	DET
bracis-28378	45	2	management	management	NOUN
bracis-28378	45	3	of	of	ADP
bracis-28378	45	4	high	high	ADJ
bracis-28378	45	5	-	-	PUNCT
bracis-28378	45	6	dimensional	dimensional	ADJ
bracis-28378	45	7	data	datum	NOUN
bracis-28378	45	8	is	be	AUX
bracis-28378	45	9	a	a	DET
bracis-28378	45	10	challenge	challenge	NOUN
bracis-28378	45	11	for	for	ADP
bracis-28378	45	12	computational	computational	ADJ
bracis-28378	45	13	complexity	complexity	NOUN
bracis-28378	45	14	,	,	PUNCT
bracis-28378	45	15	feature	feature	NOUN
bracis-28378	45	16	selection	selection	NOUN
bracis-28378	45	17	,	,	PUNCT
bracis-28378	45	18	and	and	CCONJ
bracis-28378	45	19	generalization	generalization	NOUN
bracis-28378	45	20	of	of	ADP
bracis-28378	45	21	the	the	DET
bracis-28378	45	22	classification	classification	NOUN
bracis-28378	45	23	models	model	NOUN
bracis-28378	45	24	for	for	ADP
bracis-28378	45	25	spectral	spectral	ADJ
bracis-28378	45	26	datasets	dataset	NOUN
bracis-28378	45	27	.	.	PUNCT
bracis-28378	46	1	this	this	DET
bracis-28378	46	2	paper	paper	NOUN
bracis-28378	46	3	aims	aim	VERB
bracis-28378	46	4	to	to	PART
bracis-28378	46	5	contribute	contribute	VERB
bracis-28378	46	6	to	to	ADP
bracis-28378	46	7	the	the	DET
bracis-28378	46	8	development	development	NOUN
bracis-28378	46	9	and	and	CCONJ
bracis-28378	46	10	evaluation	evaluation	NOUN
bracis-28378	46	11	of	of	ADP
bracis-28378	46	12	cnns	cnn	NOUN
bracis-28378	46	13	for	for	ADP
bracis-28378	46	14	the	the	DET
bracis-28378	46	15	detection	detection	NOUN
bracis-28378	46	16	of	of	ADP
bracis-28378	46	17	covid-19	covid-19	PROPN
bracis-28378	46	18	using	use	VERB
bracis-28378	46	19	raman	raman	NOUN
bracis-28378	46	20	spectra	spectra	NOUN
bracis-28378	46	21	of	of	ADP
bracis-28378	46	22	serum	serum	NOUN
bracis-28378	46	23	samples	sample	NOUN
bracis-28378	46	24	,	,	PUNCT
bracis-28378	46	25	in	in	ADP
bracis-28378	46	26	order	order	NOUN
bracis-28378	46	27	to	to	PART
bracis-28378	46	28	obtain	obtain	VERB
bracis-28378	46	29	more	more	ADV
bracis-28378	46	30	accurate	accurate	ADJ
bracis-28378	46	31	models	model	NOUN
bracis-28378	46	32	.	.	PUNCT
bracis-28378	47	1	to	to	PART
bracis-28378	47	2	be	be	AUX
bracis-28378	47	3	specific	specific	ADJ
bracis-28378	47	4	,	,	PUNCT
bracis-28378	47	5	the	the	DET
bracis-28378	47	6	study	study	NOUN
bracis-28378	47	7	presents	present	VERB
bracis-28378	47	8	a	a	DET
bracis-28378	47	9	one	one	NUM
bracis-28378	47	10	-	-	PUNCT
bracis-28378	47	11	dimensional	dimensional	ADJ
bracis-28378	47	12	(	(	PUNCT
bracis-28378	47	13	1d	1d	NUM
bracis-28378	47	14	)	)	PUNCT
bracis-28378	47	15	cnn	cnn	NOUN
bracis-28378	47	16	architecture	architecture	NOUN
bracis-28378	47	17	to	to	PART
bracis-28378	47	18	process	process	VERB
bracis-28378	47	19	raman	raman	NOUN
bracis-28378	47	20	spectra	spectra	NOUN
bracis-28378	47	21	as	as	ADV
bracis-28378	47	22	well	well	ADV
bracis-28378	47	23	as	as	ADP
bracis-28378	47	24	an	an	DET
bracis-28378	47	25	explainability	explainability	NOUN
bracis-28378	47	26	analysis	analysis	NOUN
bracis-28378	47	27	of	of	ADP
bracis-28378	47	28	its	its	PRON
bracis-28378	47	29	salient	salient	NOUN
bracis-28378	47	30	features	feature	NOUN
bracis-28378	47	31	.	.	PUNCT
bracis-28378	48	1	in	in	ADP
bracis-28378	48	2	summary	summary	NOUN
bracis-28378	48	3	,	,	PUNCT
bracis-28378	48	4	the	the	DET
bracis-28378	48	5	main	main	ADJ
bracis-28378	48	6	contributions	contribution	NOUN
bracis-28378	48	7	of	of	ADP
bracis-28378	48	8	our	our	PRON
bracis-28378	48	9	work	work	NOUN
bracis-28378	48	10	are	be	AUX
bracis-28378	48	11	listed	list	VERB
bracis-28378	48	12	as	as	SCONJ
bracis-28378	48	13	follows	follow	VERB
bracis-28378	48	14	:	:	PUNCT
bracis-28378	48	15	development	development	NOUN
bracis-28378	48	16	and	and	CCONJ
bracis-28378	48	17	evaluation	evaluation	NOUN
bracis-28378	48	18	of	of	ADP
bracis-28378	48	19	the	the	DET
bracis-28378	48	20	proposed	propose	VERB
bracis-28378	48	21	1d	1d	NUM
bracis-28378	48	22	cnn	cnn	PROPN
bracis-28378	48	23	method	method	NOUN
bracis-28378	48	24	for	for	ADP
bracis-28378	48	25	detection	detection	NOUN
bracis-28378	48	26	of	of	ADP
bracis-28378	48	27	covid-19	covid-19	PROPN
bracis-28378	48	28	from	from	ADP
bracis-28378	48	29	raman	raman	NOUN
bracis-28378	48	30	spectra	spectra	NOUN
bracis-28378	48	31	of	of	ADP
bracis-28378	48	32	serum	serum	NOUN
bracis-28378	48	33	samples	sample	NOUN
bracis-28378	48	34	;	;	PUNCT
bracis-28378	48	35	comparative	comparative	ADJ
bracis-28378	48	36	evaluation	evaluation	NOUN
bracis-28378	48	37	of	of	ADP
bracis-28378	48	38	several	several	ADJ
bracis-28378	48	39	traditional	traditional	ADJ
bracis-28378	48	40	and	and	CCONJ
bracis-28378	48	41	deep	deep	ADJ
bracis-28378	48	42	learning	learning	NOUN
bracis-28378	48	43	techniques	technique	NOUN
bracis-28378	48	44	for	for	ADP
bracis-28378	48	45	the	the	DET
bracis-28378	48	46	problem	problem	NOUN
bracis-28378	48	47	;	;	PUNCT
bracis-28378	48	48	explainability	explainability	NOUN
bracis-28378	48	49	analysis	analysis	NOUN
bracis-28378	48	50	regarding	regard	VERB
bracis-28378	48	51	salient	salient	NOUN
bracis-28378	48	52	raman	raman	ADJ
bracis-28378	48	53	shifts	shift	NOUN
bracis-28378	48	54	to	to	PART
bracis-28378	48	55	detect	detect	VERB
bracis-28378	48	56	and	and	CCONJ
bracis-28378	48	57	discriminate	discriminate	VERB
bracis-28378	48	58	covid-19	covid-19	PROPN
bracis-28378	48	59	and	and	CCONJ
bracis-28378	48	60	healthy	healthy	ADJ
bracis-28378	48	61	groups	group	NOUN
bracis-28378	48	62	.	.	PUNCT
bracis-28378	49	1	the	the	DET
bracis-28378	49	2	remainder	remainder	NOUN
bracis-28378	49	3	of	of	ADP
bracis-28378	49	4	the	the	DET
bracis-28378	49	5	paper	paper	NOUN
bracis-28378	49	6	is	be	AUX
bracis-28378	49	7	organized	organize	VERB
bracis-28378	49	8	as	as	SCONJ
bracis-28378	49	9	follows	follow	VERB
bracis-28378	49	10	.	.	PUNCT
bracis-28378	50	1	section	section	NOUN
bracis-28378	50	2	 	 	SPACE
bracis-28378	50	3	2	2	NUM
bracis-28378	50	4	presents	present	VERB
bracis-28378	50	5	the	the	DET
bracis-28378	50	6	raman	raman	NOUN
bracis-28378	50	7	spectroscopy	spectroscopy	NOUN
bracis-28378	50	8	data	datum	NOUN
bracis-28378	50	9	as	as	ADV
bracis-28378	50	10	well	well	ADV
bracis-28378	50	11	as	as	ADP
bracis-28378	50	12	the	the	DET
bracis-28378	50	13	steps	step	NOUN
bracis-28378	50	14	of	of	ADP
bracis-28378	50	15	data	datum	NOUN
bracis-28378	50	16	preparation	preparation	NOUN
bracis-28378	50	17	and	and	CCONJ
bracis-28378	50	18	preprocessing	preprocessing	NOUN
bracis-28378	50	19	.	.	PUNCT
bracis-28378	51	1	section	section	NOUN
bracis-28378	51	2	 	 	SPACE
bracis-28378	51	3	3	3	NUM
bracis-28378	51	4	describes	describe	VERB
bracis-28378	51	5	the	the	DET
bracis-28378	51	6	1d	1d	NUM
bracis-28378	51	7	cnn	cnn	NOUN
bracis-28378	51	8	proposed	propose	VERB
bracis-28378	51	9	in	in	ADP
bracis-28378	51	10	this	this	DET
bracis-28378	51	11	paper	paper	NOUN
bracis-28378	51	12	.	.	PUNCT
bracis-28378	52	1	section	section	NOUN
bracis-28378	52	2	 	 	SPACE
bracis-28378	52	3	4	4	NUM
bracis-28378	52	4	shows	show	VERB
bracis-28378	52	5	the	the	DET
bracis-28378	52	6	experimental	experimental	ADJ
bracis-28378	52	7	results	result	NOUN
bracis-28378	52	8	and	and	CCONJ
bracis-28378	52	9	explainability	explainability	NOUN
bracis-28378	52	10	analysis	analysis	NOUN
bracis-28378	52	11	regarding	regard	VERB
bracis-28378	52	12	our	our	PRON
bracis-28378	52	13	cnn	cnn	PROPN
bracis-28378	52	14	model	model	NOUN
bracis-28378	52	15	.	.	PUNCT
bracis-28378	53	1	section	section	NOUN
bracis-28378	53	2	 	 	SPACE
bracis-28378	53	3	5	5	NUM
bracis-28378	53	4	concludes	conclude	VERB
bracis-28378	53	5	the	the	DET
bracis-28378	53	6	paper	paper	NOUN
bracis-28378	53	7	.	.	PUNCT
bracis-28378	54	1	2	2	NUM
bracis-28378	54	2	data	datum	NOUN
bracis-28378	54	3	set	set	VERB
bracis-28378	54	4	description	description	NOUN
bracis-28378	54	5	and	and	CCONJ
bracis-28378	54	6	 	 	SPACE
bracis-28378	54	7	preparation	preparation	NOUN
bracis-28378	54	8	the	the	DET
bracis-28378	54	9	data	datum	NOUN
bracis-28378	54	10	adopted	adopt	VERB
bracis-28378	54	11	in	in	ADP
bracis-28378	54	12	this	this	DET
bracis-28378	54	13	work	work	NOUN
bracis-28378	54	14	was	be	AUX
bracis-28378	54	15	publicly	publicly	ADV
bracis-28378	54	16	available	available	ADJ
bracis-28378	54	17	by	by	ADP
bracis-28378	54	18	[	[	X
bracis-28378	54	19	18	18	NUM
bracis-28378	54	20	]	]	PUNCT
bracis-28378	54	21	.	.	PUNCT
bracis-28378	55	1	blood	blood	NOUN
bracis-28378	55	2	samples	sample	NOUN
bracis-28378	55	3	were	be	AUX
bracis-28378	55	4	collected	collect	VERB
bracis-28378	55	5	between	between	ADP
bracis-28378	55	6	february	february	PROPN
bracis-28378	55	7	10th	10th	NOUN
bracis-28378	55	8	and	and	CCONJ
bracis-28378	55	9	may	may	PROPN
bracis-28378	55	10	10th	10th	NUM
bracis-28378	55	11	,	,	PUNCT
bracis-28378	55	12	2020	2020	NUM
bracis-28378	55	13	.	.	PUNCT
bracis-28378	56	1	blood	blood	NOUN
bracis-28378	56	2	samples	sample	NOUN
bracis-28378	56	3	were	be	AUX
bracis-28378	56	4	taken	take	VERB
bracis-28378	56	5	from	from	ADP
bracis-28378	56	6	covid-19	covid-19	PROPN
bracis-28378	56	7	patients	patient	NOUN
bracis-28378	56	8	and	and	CCONJ
bracis-28378	56	9	suspected	suspect	VERB
bracis-28378	56	10	cases	case	NOUN
bracis-28378	56	11	upon	upon	SCONJ
bracis-28378	56	12	admission	admission	NOUN
bracis-28378	56	13	between	between	ADP
bracis-28378	56	14	february	february	PROPN
bracis-28378	56	15	10	10	NUM
bracis-28378	56	16	and	and	CCONJ
bracis-28378	56	17	may	may	AUX
bracis-28378	56	18	10	10	NUM
bracis-28378	56	19	,	,	PUNCT
bracis-28378	56	20	2020	2020	NUM
bracis-28378	56	21	.	.	PUNCT
bracis-28378	57	1	the	the	DET
bracis-28378	57	2	serum	serum	NOUN
bracis-28378	57	3	was	be	AUX
bracis-28378	57	4	isolated	isolate	VERB
bracis-28378	57	5	by	by	ADP
bracis-28378	57	6	centrifuging	centrifuge	VERB
bracis-28378	57	7	at	at	ADP
bracis-28378	57	8	3000	3000	NUM
bracis-28378	57	9	rpm	rpm	NOUN
bracis-28378	57	10	for	for	ADP
bracis-28378	57	11	10	10	NUM
bracis-28378	57	12	 	 	SPACE
bracis-28378	57	13	min	min	NOUN
bracis-28378	57	14	after	after	ADP
bracis-28378	57	15	a	a	DET
bracis-28378	57	16	one	one	NUM
bracis-28378	57	17	-	-	PUNCT
bracis-28378	57	18	hour	hour	NOUN
bracis-28378	57	19	rest	rest	NOUN
bracis-28378	57	20	.	.	PUNCT
bracis-28378	58	1	the	the	DET
bracis-28378	58	2	serum	serum	NOUN
bracis-28378	58	3	samples	sample	NOUN
bracis-28378	58	4	were	be	AUX
bracis-28378	58	5	stored	store	VERB
bracis-28378	58	6	at	at	ADP
bracis-28378	58	7	4\(^\circ	4\(^\circ	NUM
bracis-28378	58	8	\)c	\)c	PUNCT
bracis-28378	58	9	and	and	CCONJ
bracis-28378	58	10	measured	measure	VERB
bracis-28378	58	11	within	within	ADP
bracis-28378	58	12	36	36	NUM
bracis-28378	58	13	 	 	SPACE
bracis-28378	58	14	h.	h.	NOUN
bracis-28378	58	15	for	for	ADP
bracis-28378	58	16	measurement	measurement	NOUN
bracis-28378	58	17	,	,	PUNCT
bracis-28378	58	18	approximately	approximately	ADV
bracis-28378	58	19	0.5	0.5	NUM
bracis-28378	58	20	ml	ml	NOUN
bracis-28378	58	21	of	of	ADP
bracis-28378	58	22	serum	serum	NOUN
bracis-28378	58	23	sample	sample	NOUN
bracis-28378	58	24	was	be	AUX
bracis-28378	58	25	prepared	prepare	VERB
bracis-28378	58	26	in	in	ADP
bracis-28378	58	27	cryopreservation	cryopreservation	NOUN
bracis-28378	58	28	tubes	tube	NOUN
bracis-28378	58	29	and	and	CCONJ
bracis-28378	58	30	strictly	strictly	ADV
bracis-28378	58	31	sealed	seal	VERB
bracis-28378	58	32	for	for	ADP
bracis-28378	58	33	raman	raman	NOUN
bracis-28378	58	34	scan	scan	NOUN
bracis-28378	58	35	.	.	PUNCT
bracis-28378	59	1	additional	additional	ADJ
bracis-28378	59	2	spectral	spectral	ADJ
bracis-28378	59	3	data	datum	NOUN
bracis-28378	59	4	were	be	AUX
bracis-28378	59	5	collected	collect	VERB
bracis-28378	59	6	from	from	ADP
bracis-28378	59	7	cryopreservation	cryopreservation	NOUN
bracis-28378	59	8	tubes	tube	NOUN
bracis-28378	59	9	with	with	ADP
bracis-28378	59	10	saline	saline	ADJ
bracis-28378	59	11	solution	solution	NOUN
bracis-28378	59	12	[	[	X
bracis-28378	59	13	18	18	NUM
bracis-28378	59	14	]	]	PUNCT
bracis-28378	59	15	.	.	PUNCT
bracis-28378	60	1	the	the	DET
bracis-28378	60	2	data	datum	NOUN
bracis-28378	60	3	were	be	AUX
bracis-28378	60	4	obtained	obtain	VERB
bracis-28378	60	5	from	from	ADP
bracis-28378	60	6	blood	blood	NOUN
bracis-28378	60	7	serum	serum	NOUN
bracis-28378	60	8	samples	sample	NOUN
bracis-28378	60	9	in	in	ADP
bracis-28378	60	10	a	a	DET
bracis-28378	60	11	total	total	NOUN
bracis-28378	60	12	of	of	ADP
bracis-28378	60	13	309	309	NUM
bracis-28378	60	14	spectra	spectra	NOUN
bracis-28378	60	15	,	,	PUNCT
bracis-28378	60	16	of	of	ADP
bracis-28378	60	17	which	which	PRON
bracis-28378	60	18	159	159	NUM
bracis-28378	60	19	received	receive	VERB
bracis-28378	60	20	a	a	DET
bracis-28378	60	21	positive	positive	ADJ
bracis-28378	60	22	diagnosis	diagnosis	NOUN
bracis-28378	60	23	for	for	ADP
bracis-28378	60	24	covid-19	covid-19	PROPN
bracis-28378	60	25	(	(	PUNCT
bracis-28378	60	26	covid-19	covid-19	PROPN
bracis-28378	60	27	group	group	NOUN
bracis-28378	60	28	)	)	PUNCT
bracis-28378	60	29	and	and	CCONJ
bracis-28378	60	30	150	150	NUM
bracis-28378	60	31	received	receive	VERB
bracis-28378	60	32	a	a	DET
bracis-28378	60	33	negative	negative	ADJ
bracis-28378	60	34	test	test	NOUN
bracis-28378	60	35	result	result	NOUN
bracis-28378	60	36	for	for	ADP
bracis-28378	60	37	covid-19	covid-19	PROPN
bracis-28378	60	38	(	(	PUNCT
bracis-28378	60	39	healthy	healthy	ADJ
bracis-28378	60	40	group	group	NOUN
bracis-28378	60	41	)	)	PUNCT
bracis-28378	60	42	.	.	PUNCT
bracis-28378	61	1	the	the	DET
bracis-28378	61	2	serum	serum	NOUN
bracis-28378	61	3	samples	sample	NOUN
bracis-28378	61	4	were	be	AUX
bracis-28378	61	5	processed	process	VERB
bracis-28378	61	6	by	by	ADP
bracis-28378	61	7	a	a	DET
bracis-28378	61	8	raman	raman	NOUN
bracis-28378	61	9	spectrometer	spectrometer	NOUN
bracis-28378	61	10	.	.	PUNCT
bracis-28378	62	1	for	for	ADP
bracis-28378	62	2	each	each	DET
bracis-28378	62	3	sample	sample	NOUN
bracis-28378	62	4	,	,	PUNCT
bracis-28378	62	5	the	the	DET
bracis-28378	62	6	equipment	equipment	NOUN
bracis-28378	62	7	is	be	AUX
bracis-28378	62	8	responsible	responsible	ADJ
bracis-28378	62	9	for	for	ADP
bracis-28378	62	10	generating	generate	VERB
bracis-28378	62	11	a	a	DET
bracis-28378	62	12	corresponding	corresponding	ADJ
bracis-28378	62	13	spectrum	spectrum	NOUN
bracis-28378	62	14	.	.	PUNCT
bracis-28378	63	1	figure	figure	NOUN
bracis-28378	63	2	 	 	SPACE
bracis-28378	63	3	1	1	NUM
bracis-28378	63	4	shows	show	VERB
bracis-28378	63	5	the	the	DET
bracis-28378	63	6	average	average	ADJ
bracis-28378	63	7	spectrum	spectrum	NOUN
bracis-28378	63	8	of	of	ADP
bracis-28378	63	9	the	the	DET
bracis-28378	63	10	healthy	healthy	ADJ
bracis-28378	63	11	group	group	NOUN
bracis-28378	63	12	(	(	PUNCT
bracis-28378	63	13	a	a	NOUN
bracis-28378	63	14	)	)	PUNCT
bracis-28378	63	15	,	,	PUNCT
bracis-28378	63	16	the	the	DET
bracis-28378	63	17	average	average	ADJ
bracis-28378	63	18	spectrum	spectrum	NOUN
bracis-28378	63	19	of	of	ADP
bracis-28378	63	20	the	the	DET
bracis-28378	63	21	covid-19	covid-19	PROPN
bracis-28378	63	22	group	group	NOUN
bracis-28378	63	23	(	(	PUNCT
bracis-28378	63	24	b	b	NOUN
bracis-28378	63	25	)	)	PUNCT
bracis-28378	63	26	,	,	PUNCT
bracis-28378	63	27	the	the	DET
bracis-28378	63	28	average	average	ADJ
bracis-28378	63	29	spectrum	spectrum	NOUN
bracis-28378	63	30	of	of	ADP
bracis-28378	63	31	both	both	DET
bracis-28378	63	32	groups	group	NOUN
bracis-28378	63	33	(	(	PUNCT
bracis-28378	63	34	c	c	NOUN
bracis-28378	63	35	)	)	PUNCT
bracis-28378	63	36	and	and	CCONJ
bracis-28378	63	37	all	all	DET
bracis-28378	63	38	spectra	spectra	NOUN
bracis-28378	63	39	from	from	ADP
bracis-28378	63	40	both	both	DET
bracis-28378	63	41	groups	group	NOUN
bracis-28378	63	42	(	(	PUNCT
bracis-28378	63	43	d	d	NOUN
bracis-28378	63	44	)	)	PUNCT
bracis-28378	63	45	.	.	PUNCT
bracis-28378	64	1	one	one	PRON
bracis-28378	64	2	can	can	AUX
bracis-28378	64	3	see	see	VERB
bracis-28378	64	4	some	some	DET
bracis-28378	64	5	interesting	interesting	ADJ
bracis-28378	64	6	regions	region	NOUN
bracis-28378	64	7	in	in	ADP
bracis-28378	64	8	figs	fig	NOUN
bracis-28378	64	9	.	.	PUNCT
bracis-28378	64	10	 	 	SPACE
bracis-28378	64	11	1(c	1(c	NUM
bracis-28378	64	12	)	)	PUNCT
bracis-28378	64	13	and	and	CCONJ
bracis-28378	64	14	1(d	1(d	NUM
bracis-28378	64	15	)	)	PUNCT
bracis-28378	64	16	,	,	PUNCT
bracis-28378	64	17	in	in	ADP
bracis-28378	64	18	which	which	PRON
bracis-28378	64	19	samples	sample	NOUN
bracis-28378	64	20	from	from	ADP
bracis-28378	64	21	different	different	ADJ
bracis-28378	64	22	groups	group	NOUN
bracis-28378	64	23	seem	seem	VERB
bracis-28378	64	24	better	well	ADV
bracis-28378	64	25	separated	separate	VERB
bracis-28378	64	26	.	.	PUNCT
bracis-28378	65	1	fig	fig	NOUN
bracis-28378	65	2	.	.	PUNCT
bracis-28378	66	1	1	1	X
bracis-28378	66	2	.	.	X
bracis-28378	66	3	(	(	PUNCT
bracis-28378	66	4	a	a	X
bracis-28378	66	5	)	)	PUNCT
bracis-28378	66	6	average	average	NOUN
bracis-28378	66	7	of	of	ADP
bracis-28378	66	8	healthy	healthy	ADJ
bracis-28378	66	9	group	group	NOUN
bracis-28378	66	10	spectra	spectra	NOUN
bracis-28378	66	11	,	,	PUNCT
bracis-28378	66	12	(	(	PUNCT
bracis-28378	66	13	b	b	NOUN
bracis-28378	66	14	)	)	PUNCT
bracis-28378	66	15	average	average	NOUN
bracis-28378	66	16	of	of	ADP
bracis-28378	66	17	covid-19	covid-19	PROPN
bracis-28378	66	18	group	group	NOUN
bracis-28378	66	19	spectra	spectra	NOUN
bracis-28378	66	20	,	,	PUNCT
bracis-28378	66	21	(	(	PUNCT
bracis-28378	66	22	c	c	NOUN
bracis-28378	66	23	)	)	PUNCT
bracis-28378	66	24	average	average	NOUN
bracis-28378	66	25	of	of	ADP
bracis-28378	66	26	healthy	healthy	ADJ
bracis-28378	66	27	and	and	CCONJ
bracis-28378	66	28	covid-19	covid-19	PROPN
bracis-28378	66	29	spectra	spectra	NOUN
bracis-28378	66	30	,	,	PUNCT
bracis-28378	66	31	(	(	PUNCT
bracis-28378	66	32	d	d	NOUN
bracis-28378	66	33	)	)	PUNCT
bracis-28378	66	34	total	total	ADJ
bracis-28378	66	35	covid-19	covid-19	PROPN
bracis-28378	66	36	and	and	CCONJ
bracis-28378	66	37	healthy	healthy	ADJ
bracis-28378	66	38	spectral	spectral	ADJ
bracis-28378	66	39	plot	plot	NOUN
bracis-28378	66	40	full	full	ADJ
bracis-28378	66	41	size	size	NOUN
bracis-28378	66	42	image	image	NOUN
bracis-28378	66	43	regarding	regard	VERB
bracis-28378	66	44	data	data	NOUN
bracis-28378	66	45	preparation	preparation	NOUN
bracis-28378	66	46	and	and	CCONJ
bracis-28378	66	47	preprocessing	preprocessing	NOUN
bracis-28378	66	48	,	,	PUNCT
bracis-28378	66	49	two	two	NUM
bracis-28378	66	50	steps	step	NOUN
bracis-28378	66	51	were	be	AUX
bracis-28378	66	52	conducted	conduct	VERB
bracis-28378	66	53	in	in	ADP
bracis-28378	66	54	this	this	DET
bracis-28378	66	55	study	study	NOUN
bracis-28378	66	56	:	:	PUNCT
bracis-28378	66	57	savitzky	savitzky	PROPN
bracis-28378	66	58	-	-	PUNCT
bracis-28378	66	59	golay	golay	NOUN
bracis-28378	66	60	filtering	filtering	NOUN
bracis-28378	66	61	and	and	CCONJ
bracis-28378	66	62	vector	vector	NOUN
bracis-28378	66	63	normalization	normalization	NOUN
bracis-28378	66	64	:	:	PUNCT
bracis-28378	66	65	the	the	DET
bracis-28378	66	66	savitzky	savitzky	NOUN
bracis-28378	66	67	-	-	PUNCT
bracis-28378	66	68	golay	golay	PROPN
bracis-28378	66	69	(	(	PUNCT
bracis-28378	66	70	sg	sg	PROPN
bracis-28378	66	71	)	)	PUNCT
bracis-28378	66	72	is	be	AUX
bracis-28378	66	73	a	a	DET
bracis-28378	66	74	filter	filter	NOUN
bracis-28378	66	75	for	for	ADP
bracis-28378	66	76	smoothing	smoothing	NOUN
bracis-28378	66	77	and	and	CCONJ
bracis-28378	66	78	differentiation	differentiation	NOUN
bracis-28378	66	79	that	that	PRON
bracis-28378	66	80	optimally	optimally	ADV
bracis-28378	66	81	fits	fit	VERB
bracis-28378	66	82	a	a	DET
bracis-28378	66	83	set	set	NOUN
bracis-28378	66	84	of	of	ADP
bracis-28378	66	85	data	datum	NOUN
bracis-28378	66	86	points	point	NOUN
bracis-28378	66	87	to	to	ADP
bracis-28378	66	88	a	a	DET
bracis-28378	66	89	polynomial	polynomial	NOUN
bracis-28378	66	90	in	in	ADP
bracis-28378	66	91	the	the	DET
bracis-28378	66	92	least	least	ADJ
bracis-28378	66	93	-	-	PUNCT
bracis-28378	66	94	squares	square	NOUN
bracis-28378	66	95	sense	sense	NOUN
bracis-28378	66	96	[	[	X
bracis-28378	66	97	17	17	NUM
bracis-28378	66	98	]	]	PUNCT
bracis-28378	66	99	.	.	PUNCT
bracis-28378	67	1	this	this	DET
bracis-28378	67	2	process	process	NOUN
bracis-28378	67	3	is	be	AUX
bracis-28378	67	4	important	important	ADJ
bracis-28378	67	5	to	to	PART
bracis-28378	67	6	reduce	reduce	VERB
bracis-28378	67	7	noise	noise	NOUN
bracis-28378	67	8	and	and	CCONJ
bracis-28378	67	9	smooth	smooth	VERB
bracis-28378	67	10	the	the	DET
bracis-28378	67	11	signal	signal	NOUN
bracis-28378	67	12	while	while	SCONJ
bracis-28378	67	13	maintaining	maintain	VERB
bracis-28378	67	14	higher	high	ADJ
bracis-28378	67	15	-	-	PUNCT
bracis-28378	67	16	order	order	NOUN
bracis-28378	67	17	moments	moment	NOUN
bracis-28378	67	18	of	of	ADP
bracis-28378	67	19	the	the	DET
bracis-28378	67	20	original	original	ADJ
bracis-28378	67	21	spectrum	spectrum	NOUN
bracis-28378	67	22	.	.	PUNCT
bracis-28378	68	1	sg	sg	PROPN
bracis-28378	68	2	has	have	AUX
bracis-28378	68	3	been	be	AUX
bracis-28378	68	4	used	use	VERB
bracis-28378	68	5	to	to	PART
bracis-28378	68	6	normalize	normalize	VERB
bracis-28378	68	7	and	and	CCONJ
bracis-28378	68	8	preprocess	preprocess	NOUN
bracis-28378	68	9	spectral	spectral	ADJ
bracis-28378	68	10	data	datum	NOUN
bracis-28378	68	11	for	for	ADP
bracis-28378	68	12	ftir	ftir	PROPN
bracis-28378	68	13	,	,	PUNCT
bracis-28378	68	14	raman	raman	NOUN
bracis-28378	68	15	,	,	PUNCT
bracis-28378	68	16	and	and	CCONJ
bracis-28378	68	17	other	other	ADJ
bracis-28378	68	18	spectroscopy	spectroscopy	NOUN
bracis-28378	68	19	equipments	equipment	NOUN
bracis-28378	68	20	due	due	ADP
bracis-28378	68	21	to	to	ADP
bracis-28378	68	22	the	the	DET
bracis-28378	68	23	inherent	inherent	ADJ
bracis-28378	68	24	presence	presence	NOUN
bracis-28378	68	25	of	of	ADP
bracis-28378	68	26	noises	noise	NOUN
bracis-28378	68	27	during	during	ADP
bracis-28378	68	28	sample	sample	NOUN
bracis-28378	68	29	collection	collection	NOUN
bracis-28378	68	30	,	,	PUNCT
bracis-28378	68	31	manipulation	manipulation	NOUN
bracis-28378	68	32	,	,	PUNCT
bracis-28378	68	33	and	and	CCONJ
bracis-28378	68	34	so	so	ADV
bracis-28378	68	35	on	on	ADV
bracis-28378	68	36	.	.	PUNCT
bracis-28378	69	1	vector	vector	NOUN
bracis-28378	69	2	normalization	normalization	NOUN
bracis-28378	69	3	is	be	AUX
bracis-28378	69	4	the	the	DET
bracis-28378	69	5	process	process	NOUN
bracis-28378	69	6	in	in	ADP
bracis-28378	69	7	which	which	PRON
bracis-28378	69	8	the	the	DET
bracis-28378	69	9	intensity	intensity	NOUN
bracis-28378	69	10	values	value	NOUN
bracis-28378	69	11	of	of	ADP
bracis-28378	69	12	all	all	DET
bracis-28378	69	13	spectra	spectra	NOUN
bracis-28378	69	14	are	be	AUX
bracis-28378	69	15	normalized	normalize	VERB
bracis-28378	69	16	by	by	ADP
bracis-28378	69	17	the	the	DET
bracis-28378	69	18	euclidean	euclidean	ADJ
bracis-28378	69	19	norm	norm	NOUN
bracis-28378	69	20	.	.	PUNCT
bracis-28378	70	1	3	3	NUM
bracis-28378	70	2	model	model	NOUN
bracis-28378	70	3	description	description	NOUN
bracis-28378	70	4	this	this	DET
bracis-28378	70	5	section	section	NOUN
bracis-28378	70	6	describes	describe	VERB
bracis-28378	70	7	the	the	DET
bracis-28378	70	8	one	one	NUM
bracis-28378	70	9	-	-	PUNCT
bracis-28378	70	10	dimensional	dimensional	ADJ
bracis-28378	70	11	cnn	cnn	NOUN
bracis-28378	70	12	proposed	propose	VERB
bracis-28378	70	13	in	in	ADP
bracis-28378	70	14	this	this	DET
bracis-28378	70	15	study	study	NOUN
bracis-28378	70	16	for	for	ADP
bracis-28378	70	17	the	the	DET
bracis-28378	70	18	detection	detection	NOUN
bracis-28378	70	19	of	of	ADP
bracis-28378	70	20	covid-19	covid-19	PROPN
bracis-28378	70	21	using	use	VERB
bracis-28378	70	22	raman	raman	NOUN
bracis-28378	70	23	spectra	spectra	NOUN
bracis-28378	70	24	of	of	ADP
bracis-28378	70	25	serum	serum	NOUN
bracis-28378	70	26	samples	sample	NOUN
bracis-28378	70	27	.	.	PUNCT
bracis-28378	71	1	the	the	DET
bracis-28378	71	2	proposed	propose	VERB
bracis-28378	71	3	architecture	architecture	NOUN
bracis-28378	71	4	is	be	AUX
bracis-28378	71	5	illustrated	illustrate	VERB
bracis-28378	71	6	by	by	ADP
bracis-28378	71	7	fig	fig	NOUN
bracis-28378	71	8	.	.	PUNCT
bracis-28378	71	9	 	 	SPACE
bracis-28378	72	1	2	2	X
bracis-28378	72	2	.	.	X
bracis-28378	72	3	there	there	PRON
bracis-28378	72	4	are	be	VERB
bracis-28378	72	5	three	three	NUM
bracis-28378	72	6	main	main	ADJ
bracis-28378	72	7	types	type	NOUN
bracis-28378	72	8	of	of	ADP
bracis-28378	72	9	layers	layer	NOUN
bracis-28378	72	10	:	:	PUNCT
bracis-28378	72	11	convolutional	convolutional	ADJ
bracis-28378	72	12	,	,	PUNCT
bracis-28378	72	13	pooling	pooling	NOUN
bracis-28378	72	14	,	,	PUNCT
bracis-28378	72	15	and	and	CCONJ
bracis-28378	72	16	fully	fully	ADV
bracis-28378	72	17	connected	connect	VERB
bracis-28378	72	18	.	.	PUNCT
bracis-28378	73	1	in	in	ADP
bracis-28378	73	2	the	the	DET
bracis-28378	73	3	following	following	NOUN
bracis-28378	73	4	,	,	PUNCT
bracis-28378	73	5	each	each	DET
bracis-28378	73	6	one	one	NUM
bracis-28378	73	7	of	of	ADP
bracis-28378	73	8	them	they	PRON
bracis-28378	73	9	is	be	AUX
bracis-28378	73	10	briefly	briefly	ADV
bracis-28378	73	11	described	describe	VERB
bracis-28378	73	12	.	.	PUNCT
bracis-28378	74	1	fig	fig	NOUN
bracis-28378	74	2	.	.	PUNCT
bracis-28378	75	1	2	2	X
bracis-28378	75	2	.	.	X
bracis-28378	75	3	the	the	DET
bracis-28378	75	4	architecture	architecture	NOUN
bracis-28378	75	5	of	of	ADP
bracis-28378	75	6	the	the	DET
bracis-28378	75	7	one	one	NUM
bracis-28378	75	8	-	-	PUNCT
bracis-28378	75	9	dimensional	dimensional	ADJ
bracis-28378	75	10	cnn	cnn	NOUN
bracis-28378	75	11	proposed	propose	VERB
bracis-28378	75	12	.	.	PUNCT
bracis-28378	76	1	full	full	ADJ
bracis-28378	76	2	size	size	NOUN
bracis-28378	76	3	image	image	NOUN
bracis-28378	76	4	convolutional	convolutional	ADJ
bracis-28378	76	5	layer	layer	NOUN
bracis-28378	76	6	.	.	PUNCT
bracis-28378	77	1	the	the	DET
bracis-28378	77	2	convolutional	convolutional	ADJ
bracis-28378	77	3	layer	layer	NOUN
bracis-28378	77	4	aims	aim	VERB
bracis-28378	77	5	to	to	PART
bracis-28378	77	6	learn	learn	VERB
bracis-28378	77	7	representative	representative	ADJ
bracis-28378	77	8	features	feature	NOUN
bracis-28378	77	9	of	of	ADP
bracis-28378	77	10	the	the	DET
bracis-28378	77	11	input	input	NOUN
bracis-28378	77	12	data	datum	NOUN
bracis-28378	77	13	.	.	PUNCT
bracis-28378	78	1	the	the	DET
bracis-28378	78	2	convolution	convolution	NOUN
bracis-28378	78	3	layer	layer	NOUN
bracis-28378	78	4	is	be	AUX
bracis-28378	78	5	made	make	VERB
bracis-28378	78	6	up	up	ADP
bracis-28378	78	7	of	of	ADP
bracis-28378	78	8	several	several	ADJ
bracis-28378	78	9	convolution	convolution	NOUN
bracis-28378	78	10	kernels	kernel	NOUN
bracis-28378	78	11	,	,	PUNCT
bracis-28378	78	12	also	also	ADV
bracis-28378	78	13	known	know	VERB
bracis-28378	78	14	as	as	ADP
bracis-28378	78	15	filters	filter	NOUN
bracis-28378	78	16	,	,	PUNCT
bracis-28378	78	17	which	which	PRON
bracis-28378	78	18	are	be	AUX
bracis-28378	78	19	used	use	VERB
bracis-28378	78	20	to	to	PART
bracis-28378	78	21	compute	compute	VERB
bracis-28378	78	22	different	different	ADJ
bracis-28378	78	23	feature	feature	NOUN
bracis-28378	78	24	maps	map	NOUN
bracis-28378	78	25	.	.	PUNCT
bracis-28378	79	1	specifically	specifically	ADV
bracis-28378	79	2	,	,	PUNCT
bracis-28378	79	3	each	each	DET
bracis-28378	79	4	neuron	neuron	NOUN
bracis-28378	79	5	in	in	ADP
bracis-28378	79	6	a	a	DET
bracis-28378	79	7	feature	feature	NOUN
bracis-28378	79	8	map	map	NOUN
bracis-28378	79	9	is	be	AUX
bracis-28378	79	10	connected	connect	VERB
bracis-28378	79	11	to	to	ADP
bracis-28378	79	12	a	a	DET
bracis-28378	79	13	region	region	NOUN
bracis-28378	79	14	of	of	ADP
bracis-28378	79	15	neighboring	neighboring	NOUN
bracis-28378	79	16	neurons	neuron	NOUN
bracis-28378	79	17	in	in	ADP
bracis-28378	79	18	the	the	DET
bracis-28378	79	19	previous	previous	ADJ
bracis-28378	79	20	layer	layer	NOUN
bracis-28378	79	21	.	.	PUNCT
bracis-28378	80	1	such	such	DET
bracis-28378	80	2	a	a	DET
bracis-28378	80	3	neighborhood	neighborhood	NOUN
bracis-28378	80	4	is	be	AUX
bracis-28378	80	5	referred	refer	VERB
bracis-28378	80	6	to	to	ADP
bracis-28378	80	7	as	as	ADP
bracis-28378	80	8	the	the	DET
bracis-28378	80	9	receptive	receptive	ADJ
bracis-28378	80	10	field	field	NOUN
bracis-28378	80	11	of	of	ADP
bracis-28378	80	12	the	the	DET
bracis-28378	80	13	neuron	neuron	NOUN
bracis-28378	80	14	.	.	PUNCT
bracis-28378	81	1	mathematically	mathematically	ADV
bracis-28378	81	2	,	,	PUNCT
bracis-28378	81	3	the	the	DET
bracis-28378	81	4	feature	feature	NOUN
bracis-28378	81	5	value	value	NOUN
bracis-28378	81	6	at	at	ADP
bracis-28378	81	7	location	location	NOUN
bracis-28378	81	8	(	(	PUNCT
bracis-28378	81	9	i	i	PROPN
bracis-28378	81	10	,	,	PUNCT
bracis-28378	81	11	j	j	PROPN
bracis-28378	81	12	)	)	PUNCT
bracis-28378	81	13	referring	refer	VERB
bracis-28378	81	14	to	to	ADP
bracis-28378	81	15	the	the	DET
bracis-28378	81	16	kth	kth	PROPN
bracis-28378	81	17	feature	feature	NOUN
bracis-28378	81	18	map	map	NOUN
bracis-28378	81	19	of	of	ADP
bracis-28378	81	20	the	the	DET
bracis-28378	81	21	lth	lth	NOUN
bracis-28378	81	22	layer	layer	NOUN
bracis-28378	81	23	,	,	PUNCT
bracis-28378	81	24	\(z^l_{i	\(z^l_{i	NUM
bracis-28378	81	25	,	,	PUNCT
bracis-28378	81	26	j	j	NOUN
bracis-28378	81	27	,	,	PUNCT
bracis-28378	81	28	k}\	k}\	NOUN
bracis-28378	81	29	)	)	PUNCT
bracis-28378	81	30	is	be	AUX
bracis-28378	81	31	calculated	calculate	VERB
bracis-28378	81	32	as	as	ADP
bracis-28378	81	33	:	:	PUNCT
bracis-28378	81	34	$	$	SYM
bracis-28378	81	35	$	$	SYM
bracis-28378	81	36	\begin{aligned	\begin{aligne	VERB
bracis-28378	81	37	}	}	PUNCT
bracis-28378	81	38	z^l_i	z^l_i	NOUN
bracis-28378	81	39	=	=	SYM
bracis-28378	81	40	\sigma	\sigma	PROPN
bracis-28378	81	41	\left	\left	PROPN
bracis-28378	81	42	(	(	PUNCT
bracis-28378	81	43	w^{l^t}_{k	w^{l^t}_{k	PROPN
bracis-28378	81	44	}	}	SYM
bracis-28378	81	45	x^l_{i	x^l_{i	NUM
bracis-28378	81	46	,	,	PUNCT
bracis-28378	81	47	j	j	NOUN
bracis-28378	81	48	}	}	PUNCT
bracis-28378	81	49	+	+	CCONJ
bracis-28378	81	50	b^l_k	b^l_k	PROPN
bracis-28378	81	51	\right	\right	PROPN
bracis-28378	81	52	)	)	PUNCT
bracis-28378	81	53	~	~	NOUN
bracis-28378	81	54	,	,	PUNCT
bracis-28378	81	55	\end{aligned}$$	\end{aligned}$$	X
bracis-28378	81	56	(	(	PUNCT
bracis-28378	81	57	1	1	NUM
bracis-28378	81	58	)	)	PUNCT
bracis-28378	81	59	in	in	ADP
bracis-28378	81	60	which	which	PRON
bracis-28378	81	61	\(x^l_{i	\(x^l_{i	NOUN
bracis-28378	81	62	,	,	PUNCT
bracis-28378	81	63	j}\	j}\	PROPN
bracis-28378	81	64	)	)	PUNCT
bracis-28378	81	65	is	be	AUX
bracis-28378	81	66	the	the	DET
bracis-28378	81	67	input	input	NOUN
bracis-28378	81	68	centered	center	VERB
bracis-28378	81	69	at	at	ADP
bracis-28378	81	70	position	position	NOUN
bracis-28378	81	71	(	(	PUNCT
bracis-28378	81	72	i	i	PROPN
bracis-28378	81	73	,	,	PUNCT
bracis-28378	81	74	j	j	PROPN
bracis-28378	81	75	)	)	PUNCT
bracis-28378	81	76	referring	refer	VERB
bracis-28378	81	77	to	to	ADP
bracis-28378	81	78	the	the	DET
bracis-28378	81	79	l	l	NOUN
bracis-28378	81	80	-	-	PUNCT
bracis-28378	81	81	th	th	VERB
bracis-28378	81	82	layer	layer	NOUN
bracis-28378	81	83	,	,	PUNCT
bracis-28378	81	84	\(w^{l^t}_{k}\	\(w^{l^t}_{k}\	NUM
bracis-28378	81	85	)	)	PUNCT
bracis-28378	81	86	and	and	CCONJ
bracis-28378	81	87	\(b^l_k\	\(b^l_k\	PROPN
bracis-28378	81	88	)	)	PUNCT
bracis-28378	81	89	are	be	AUX
bracis-28378	81	90	respectively	respectively	ADV
bracis-28378	81	91	the	the	DET
bracis-28378	81	92	weight	weight	NOUN
bracis-28378	81	93	vector	vector	NOUN
bracis-28378	81	94	and	and	CCONJ
bracis-28378	81	95	the	the	DET
bracis-28378	81	96	bias	bias	NOUN
bracis-28378	81	97	term	term	NOUN
bracis-28378	81	98	of	of	ADP
bracis-28378	81	99	the	the	DET
bracis-28378	81	100	k	k	NOUN
bracis-28378	81	101	-	-	PUNCT
bracis-28378	81	102	th	th	VERB
bracis-28378	81	103	filter	filter	NOUN
bracis-28378	81	104	of	of	ADP
bracis-28378	81	105	the	the	DET
bracis-28378	81	106	l	l	NOUN
bracis-28378	81	107	-	-	PUNCT
bracis-28378	81	108	th	th	VERB
bracis-28378	81	109	layer	layer	NOUN
bracis-28378	81	110	,	,	PUNCT
bracis-28378	81	111	and	and	CCONJ
bracis-28378	81	112	\(\sigma	\(\sigma	NOUN
bracis-28378	81	113	\	\	NOUN
bracis-28378	81	114	)	)	PUNCT
bracis-28378	82	1	is	be	AUX
bracis-28378	82	2	the	the	DET
bracis-28378	82	3	activation	activation	NOUN
bracis-28378	82	4	function	function	NOUN
bracis-28378	82	5	which	which	PRON
bracis-28378	82	6	in	in	ADP
bracis-28378	82	7	cnn	cnn	PROPN
bracis-28378	82	8	architecture	architecture	NOUN
bracis-28378	82	9	is	be	AUX
bracis-28378	82	10	usually	usually	ADV
bracis-28378	82	11	relu	relu	NOUN
bracis-28378	82	12	(	(	PUNCT
bracis-28378	82	13	rectified	rectify	VERB
bracis-28378	82	14	linear	linear	ADJ
bracis-28378	82	15	units	unit	NOUN
bracis-28378	82	16	):	):	PUNCT
bracis-28378	82	17	$	$	SYM
bracis-28378	82	18	$	$	SYM
bracis-28378	82	19	\begin{aligned	\begin{aligne	VERB
bracis-28378	82	20	}	}	PUNCT
bracis-28378	82	21	relu(x	relu(x	NOUN
bracis-28378	82	22	)	)	PUNCT
bracis-28378	82	23	=	=	SYM
bracis-28378	82	24	max\{0	max\{0	PROPN
bracis-28378	82	25	,	,	PUNCT
bracis-28378	82	26	x\}~.	x\}~.	PROPN
bracis-28378	82	27	\end{aligned}$$	\end{aligned}$$	X
bracis-28378	82	28	(	(	PUNCT
bracis-28378	82	29	2	2	NUM
bracis-28378	82	30	)	)	PUNCT
bracis-28378	82	31	to	to	PART
bracis-28378	82	32	compute	compute	VERB
bracis-28378	82	33	a	a	DET
bracis-28378	82	34	feature	feature	NOUN
bracis-28378	82	35	map	map	NOUN
bracis-28378	82	36	,	,	PUNCT
bracis-28378	82	37	the	the	DET
bracis-28378	82	38	process	process	NOUN
bracis-28378	82	39	can	can	AUX
bracis-28378	82	40	be	be	AUX
bracis-28378	82	41	divided	divide	VERB
bracis-28378	82	42	into	into	ADP
bracis-28378	82	43	two	two	NUM
bracis-28378	82	44	steps	step	NOUN
bracis-28378	82	45	:	:	PUNCT
bracis-28378	82	46	first	first	ADV
bracis-28378	82	47	,	,	PUNCT
bracis-28378	82	48	the	the	DET
bracis-28378	82	49	input	input	NOUN
bracis-28378	82	50	is	be	AUX
bracis-28378	82	51	convoluted	convolute	VERB
bracis-28378	82	52	with	with	ADP
bracis-28378	82	53	an	an	DET
bracis-28378	82	54	already	already	ADV
bracis-28378	82	55	learned	learn	VERB
bracis-28378	82	56	filter	filter	NOUN
bracis-28378	82	57	,	,	PUNCT
bracis-28378	82	58	and	and	CCONJ
bracis-28378	82	59	then	then	ADV
bracis-28378	82	60	a	a	DET
bracis-28378	82	61	non	non	ADJ
bracis-28378	82	62	-	-	ADJ
bracis-28378	82	63	linear	linear	ADJ
bracis-28378	82	64	activation	activation	NOUN
bracis-28378	82	65	function	function	NOUN
bracis-28378	82	66	is	be	AUX
bracis-28378	82	67	applied	apply	VERB
bracis-28378	82	68	to	to	ADP
bracis-28378	82	69	the	the	DET
bracis-28378	82	70	convolution	convolution	NOUN
bracis-28378	82	71	results	result	NOUN
bracis-28378	82	72	.	.	PUNCT
bracis-28378	83	1	this	this	PRON
bracis-28378	83	2	non	non	ADJ
bracis-28378	83	3	-	-	ADJ
bracis-28378	83	4	linearity	linearity	NOUN
bracis-28378	83	5	is	be	AUX
bracis-28378	83	6	not	not	PART
bracis-28378	83	7	an	an	DET
bracis-28378	83	8	integral	integral	ADJ
bracis-28378	83	9	part	part	NOUN
bracis-28378	83	10	of	of	ADP
bracis-28378	83	11	the	the	DET
bracis-28378	83	12	convolutional	convolutional	ADJ
bracis-28378	83	13	layer	layer	NOUN
bracis-28378	83	14	,	,	PUNCT
bracis-28378	83	15	but	but	CCONJ
bracis-28378	83	16	in	in	ADP
bracis-28378	83	17	practice	practice	NOUN
bracis-28378	83	18	,	,	PUNCT
bracis-28378	83	19	almost	almost	ADV
bracis-28378	83	20	all	all	PRON
bracis-28378	83	21	convolutional	convolutional	ADJ
bracis-28378	83	22	layers	layer	NOUN
bracis-28378	83	23	are	be	AUX
bracis-28378	83	24	followed	follow	VERB
bracis-28378	83	25	by	by	ADP
bracis-28378	83	26	a	a	DET
bracis-28378	83	27	non	non	ADJ
bracis-28378	83	28	-	-	NOUN
bracis-28378	83	29	linearity	linearity	NOUN
bracis-28378	83	30	.	.	PUNCT
bracis-28378	84	1	these	these	DET
bracis-28378	84	2	non	non	NOUN
bracis-28378	84	3	-	-	NOUN
bracis-28378	84	4	linearities	linearity	NOUN
bracis-28378	84	5	are	be	AUX
bracis-28378	84	6	desirable	desirable	ADJ
bracis-28378	84	7	,	,	PUNCT
bracis-28378	84	8	as	as	SCONJ
bracis-28378	84	9	they	they	PRON
bracis-28378	84	10	allow	allow	VERB
bracis-28378	84	11	the	the	DET
bracis-28378	84	12	detection	detection	NOUN
bracis-28378	84	13	of	of	ADP
bracis-28378	84	14	non	non	ADJ
bracis-28378	84	15	-	-	ADJ
bracis-28378	84	16	linear	linear	ADJ
bracis-28378	84	17	features	feature	NOUN
bracis-28378	84	18	[	[	X
bracis-28378	84	19	7	7	NUM
bracis-28378	84	20	]	]	PUNCT
bracis-28378	84	21	.	.	PUNCT
bracis-28378	85	1	pooling	pool	VERB
bracis-28378	85	2	layer	layer	NOUN
bracis-28378	85	3	.	.	PUNCT
bracis-28378	86	1	the	the	DET
bracis-28378	86	2	pooling	pool	VERB
bracis-28378	86	3	layer	layer	NOUN
bracis-28378	86	4	aims	aim	VERB
bracis-28378	86	5	to	to	PART
bracis-28378	86	6	achieve	achieve	VERB
bracis-28378	86	7	displacement	displacement	ADJ
bracis-28378	86	8	invariance	invariance	NOUN
bracis-28378	86	9	,	,	PUNCT
bracis-28378	86	10	reducing	reduce	VERB
bracis-28378	86	11	the	the	DET
bracis-28378	86	12	spatial	spatial	ADJ
bracis-28378	86	13	resolution	resolution	NOUN
bracis-28378	86	14	of	of	ADP
bracis-28378	86	15	feature	feature	NOUN
bracis-28378	86	16	maps	map	NOUN
bracis-28378	86	17	.	.	PUNCT
bracis-28378	87	1	this	this	DET
bracis-28378	87	2	spatial	spatial	ADJ
bracis-28378	87	3	reduction	reduction	NOUN
bracis-28378	87	4	is	be	AUX
bracis-28378	87	5	achieved	achieve	VERB
bracis-28378	87	6	through	through	ADP
bracis-28378	87	7	a	a	DET
bracis-28378	87	8	non	non	ADJ
bracis-28378	87	9	-	-	ADJ
bracis-28378	87	10	unitary	unitary	ADJ
bracis-28378	87	11	stride	stride	NOUN
bracis-28378	87	12	.	.	PUNCT
bracis-28378	88	1	in	in	ADP
bracis-28378	88	2	this	this	DET
bracis-28378	88	3	way	way	NOUN
bracis-28378	88	4	,	,	PUNCT
bracis-28378	88	5	only	only	ADV
bracis-28378	88	6	one	one	NUM
bracis-28378	88	7	activation	activation	NOUN
bracis-28378	88	8	at	at	ADP
bracis-28378	88	9	each	each	DET
bracis-28378	88	10	n	n	NOUN
bracis-28378	88	11	(	(	PUNCT
bracis-28378	88	12	stride	stride	ADJ
bracis-28378	88	13	size	size	NOUN
bracis-28378	88	14	)	)	PUNCT
bracis-28378	88	15	position	position	NOUN
bracis-28378	88	16	of	of	ADP
bracis-28378	88	17	the	the	DET
bracis-28378	88	18	input	input	NOUN
bracis-28378	88	19	is	be	AUX
bracis-28378	88	20	calculated	calculate	VERB
bracis-28378	88	21	in	in	ADP
bracis-28378	88	22	each	each	DET
bracis-28378	88	23	spatial	spatial	ADJ
bracis-28378	88	24	dimension	dimension	NOUN
bracis-28378	88	25	.	.	PUNCT
bracis-28378	89	1	each	each	DET
bracis-28378	89	2	feature	feature	NOUN
bracis-28378	89	3	map	map	NOUN
bracis-28378	89	4	of	of	ADP
bracis-28378	89	5	a	a	DET
bracis-28378	89	6	pooling	pooling	NOUN
bracis-28378	89	7	layer	layer	NOUN
bracis-28378	89	8	is	be	AUX
bracis-28378	89	9	connected	connect	VERB
bracis-28378	89	10	to	to	ADP
bracis-28378	89	11	the	the	DET
bracis-28378	89	12	corresponding	correspond	VERB
bracis-28378	89	13	feature	feature	NOUN
bracis-28378	89	14	map	map	NOUN
bracis-28378	89	15	of	of	ADP
bracis-28378	89	16	the	the	DET
bracis-28378	89	17	previous	previous	ADJ
bracis-28378	89	18	convolutional	convolutional	ADJ
bracis-28378	89	19	layer	layer	NOUN
bracis-28378	89	20	.	.	PUNCT
bracis-28378	90	1	the	the	DET
bracis-28378	90	2	output	output	NOUN
bracis-28378	90	3	generated	generate	VERB
bracis-28378	90	4	by	by	ADP
bracis-28378	90	5	the	the	DET
bracis-28378	90	6	pooling	pooling	NOUN
bracis-28378	90	7	function	function	NOUN
bracis-28378	90	8	for	for	ADP
bracis-28378	90	9	the	the	DET
bracis-28378	90	10	feature	feature	NOUN
bracis-28378	90	11	map	map	NOUN
bracis-28378	90	12	\(z^l_{i	\(z^l_{i	ADP
bracis-28378	90	13	,	,	PUNCT
bracis-28378	90	14	j	j	NOUN
bracis-28378	90	15	,	,	PUNCT
bracis-28378	90	16	k}\	k}\	NOUN
bracis-28378	90	17	)	)	PUNCT
bracis-28378	90	18	is	be	AUX
bracis-28378	90	19	represented	represent	VERB
bracis-28378	90	20	by	by	ADP
bracis-28378	90	21	the	the	DET
bracis-28378	90	22	expression	expression	NOUN
bracis-28378	90	23	:	:	PUNCT
bracis-28378	90	24	$	$	SYM
bracis-28378	90	25	$	$	SYM
bracis-28378	90	26	\begin{aligned	\begin{aligne	VERB
bracis-28378	90	27	}	}	PUNCT
bracis-28378	90	28	p_{m	p_{m	PROPN
bracis-28378	90	29	,	,	PUNCT
bracis-28378	90	30	k	k	NOUN
bracis-28378	90	31	}	}	PUNCT
bracis-28378	90	32	=	=	SYM
bracis-28378	90	33	\underset{n=1}{\overset{n}{\max	\underset{n=1}{\overset{n}{\max	X
bracis-28378	90	34	}	}	PUNCT
bracis-28378	90	35	}	}	PUNCT
bracis-28378	90	36	\left	\left	PROPN
bracis-28378	90	37	(	(	PUNCT
bracis-28378	90	38	z^{l}_{i-1	z^{l}_{i-1	PROPN
bracis-28378	90	39	}	}	PUNCT
bracis-28378	90	40	\times	\times	ADP
bracis-28378	90	41	q	q	NOUN
bracis-28378	90	42	+	+	CCONJ
bracis-28378	90	43	n	n	CCONJ
bracis-28378	90	44	\right	\right	PROPN
bracis-28378	90	45	)	)	PUNCT
bracis-28378	90	46	~	~	NOUN
bracis-28378	90	47	,	,	PUNCT
bracis-28378	90	48	\end{aligned}$$	\end{aligned}$$	X
bracis-28378	90	49	(	(	PUNCT
bracis-28378	90	50	3	3	NUM
bracis-28378	90	51	)	)	PUNCT
bracis-28378	90	52	in	in	ADP
bracis-28378	90	53	which	which	PRON
bracis-28378	90	54	n	n	ADV
bracis-28378	90	55	is	be	AUX
bracis-28378	90	56	the	the	DET
bracis-28378	90	57	cluster	cluster	NOUN
bracis-28378	90	58	size	size	NOUN
bracis-28378	90	59	;	;	PUNCT
bracis-28378	90	60	and	and	CCONJ
bracis-28378	90	61	q	q	NOUN
bracis-28378	90	62	is	be	AUX
bracis-28378	90	63	the	the	DET
bracis-28378	90	64	slide	slide	NOUN
bracis-28378	90	65	size	size	NOUN
bracis-28378	90	66	,	,	PUNCT
bracis-28378	90	67	which	which	PRON
bracis-28378	90	68	determines	determine	VERB
bracis-28378	90	69	the	the	DET
bracis-28378	90	70	degree	degree	NOUN
bracis-28378	90	71	to	to	PART
bracis-28378	90	72	which	which	PRON
bracis-28378	90	73	the	the	DET
bracis-28378	90	74	adjacent	adjacent	ADJ
bracis-28378	90	75	pool	pool	NOUN
bracis-28378	90	76	windows	window	NOUN
bracis-28378	90	77	overlap	overlap	NOUN
bracis-28378	90	78	.	.	PUNCT
bracis-28378	91	1	fully	fully	ADV
bracis-28378	91	2	connected	connect	VERB
bracis-28378	91	3	layer	layer	NOUN
bracis-28378	91	4	and	and	CCONJ
bracis-28378	91	5	dropout	dropout	NOUN
bracis-28378	91	6	.	.	PUNCT
bracis-28378	92	1	fully	fully	ADV
bracis-28378	92	2	connected	connected	ADJ
bracis-28378	92	3	layers	layer	NOUN
bracis-28378	92	4	are	be	AUX
bracis-28378	92	5	usually	usually	ADV
bracis-28378	92	6	located	locate	VERB
bracis-28378	92	7	at	at	ADP
bracis-28378	92	8	the	the	DET
bracis-28378	92	9	end	end	NOUN
bracis-28378	92	10	of	of	ADP
bracis-28378	92	11	the	the	DET
bracis-28378	92	12	network	network	NOUN
bracis-28378	92	13	,	,	PUNCT
bracis-28378	92	14	as	as	SCONJ
bracis-28378	92	15	shown	show	VERB
bracis-28378	92	16	by	by	ADP
bracis-28378	92	17	our	our	PRON
bracis-28378	92	18	proposed	propose	VERB
bracis-28378	92	19	architecture	architecture	NOUN
bracis-28378	92	20	in	in	ADP
bracis-28378	92	21	fig	fig	NOUN
bracis-28378	92	22	.	.	PUNCT
bracis-28378	92	23	 	 	SPACE
bracis-28378	93	1	2	2	X
bracis-28378	93	2	.	.	PUNCT
bracis-28378	93	3	in	in	ADP
bracis-28378	93	4	these	these	DET
bracis-28378	93	5	layers	layer	NOUN
bracis-28378	93	6	,	,	PUNCT
bracis-28378	93	7	the	the	DET
bracis-28378	93	8	features	feature	NOUN
bracis-28378	93	9	extracted	extract	VERB
bracis-28378	93	10	in	in	ADP
bracis-28378	93	11	the	the	DET
bracis-28378	93	12	previous	previous	ADJ
bracis-28378	93	13	convolution	convolution	NOUN
bracis-28378	93	14	layers	layer	NOUN
bracis-28378	93	15	are	be	AUX
bracis-28378	93	16	used	use	VERB
bracis-28378	93	17	to	to	PART
bracis-28378	93	18	obtain	obtain	VERB
bracis-28378	93	19	the	the	DET
bracis-28378	93	20	network	network	NOUN
bracis-28378	93	21	classification	classification	NOUN
bracis-28378	93	22	output	output	NOUN
bracis-28378	93	23	.	.	PUNCT
bracis-28378	94	1	a	a	DET
bracis-28378	94	2	fully	fully	ADV
bracis-28378	94	3	connected	connect	VERB
bracis-28378	94	4	layer	layer	NOUN
bracis-28378	94	5	takes	take	VERB
bracis-28378	94	6	all	all	DET
bracis-28378	94	7	the	the	DET
bracis-28378	94	8	neurons	neuron	NOUN
bracis-28378	94	9	in	in	ADP
bracis-28378	94	10	the	the	DET
bracis-28378	94	11	previous	previous	ADJ
bracis-28378	94	12	layer	layer	NOUN
bracis-28378	94	13	and	and	CCONJ
bracis-28378	94	14	connects	connect	VERB
bracis-28378	94	15	them	they	PRON
bracis-28378	94	16	to	to	ADP
bracis-28378	94	17	every	every	DET
bracis-28378	94	18	neuron	neuron	NOUN
bracis-28378	94	19	in	in	ADP
bracis-28378	94	20	the	the	DET
bracis-28378	94	21	current	current	ADJ
bracis-28378	94	22	layer	layer	NOUN
bracis-28378	94	23	.	.	PUNCT
bracis-28378	95	1	it	it	PRON
bracis-28378	95	2	also	also	ADV
bracis-28378	95	3	establishes	establish	VERB
bracis-28378	95	4	which	which	DET
bracis-28378	95	5	high	high	ADJ
bracis-28378	95	6	-	-	PUNCT
bracis-28378	95	7	level	level	NOUN
bracis-28378	95	8	attributes	attribute	VERB
bracis-28378	95	9	most	most	ADV
bracis-28378	95	10	closely	closely	ADV
bracis-28378	95	11	relate	relate	VERB
bracis-28378	95	12	to	to	ADP
bracis-28378	95	13	the	the	DET
bracis-28378	95	14	object	object	NOUN
bracis-28378	95	15	’s	’s	PART
bracis-28378	95	16	class	class	NOUN
bracis-28378	95	17	.	.	PUNCT
bracis-28378	96	1	dropout	dropout	NOUN
bracis-28378	96	2	is	be	AUX
bracis-28378	96	3	a	a	DET
bracis-28378	96	4	technique	technique	NOUN
bracis-28378	96	5	usually	usually	ADV
bracis-28378	96	6	adopted	adopt	VERB
bracis-28378	96	7	in	in	ADP
bracis-28378	96	8	this	this	DET
bracis-28378	96	9	layer	layer	NOUN
bracis-28378	96	10	,	,	PUNCT
bracis-28378	96	11	in	in	ADP
bracis-28378	96	12	which	which	PRON
bracis-28378	96	13	some	some	DET
bracis-28378	96	14	neurons	neuron	NOUN
bracis-28378	96	15	are	be	AUX
bracis-28378	96	16	randomly	randomly	ADV
bracis-28378	96	17	turned	turn	VERB
bracis-28378	96	18	off	off	ADP
bracis-28378	96	19	,	,	PUNCT
bracis-28378	96	20	along	along	ADP
bracis-28378	96	21	with	with	ADP
bracis-28378	96	22	their	their	PRON
bracis-28378	96	23	connections	connection	NOUN
bracis-28378	96	24	,	,	PUNCT
bracis-28378	96	25	during	during	ADP
bracis-28378	96	26	training	training	NOUN
bracis-28378	96	27	only	only	ADV
bracis-28378	96	28	.	.	PUNCT
bracis-28378	97	1	during	during	ADP
bracis-28378	97	2	test	test	NOUN
bracis-28378	97	3	,	,	PUNCT
bracis-28378	97	4	all	all	DET
bracis-28378	97	5	neurons	neuron	NOUN
bracis-28378	97	6	are	be	AUX
bracis-28378	97	7	kept	keep	VERB
bracis-28378	97	8	active	active	ADJ
bracis-28378	97	9	.	.	PUNCT
bracis-28378	98	1	the	the	DET
bracis-28378	98	2	reason	reason	NOUN
bracis-28378	98	3	for	for	ADP
bracis-28378	98	4	doing	do	VERB
bracis-28378	98	5	this	this	PRON
bracis-28378	98	6	is	be	AUX
bracis-28378	98	7	to	to	PART
bracis-28378	98	8	avoid	avoid	VERB
bracis-28378	98	9	overfitting	overfitte	VERB
bracis-28378	98	10	in	in	ADP
bracis-28378	98	11	training	training	NOUN
bracis-28378	98	12	.	.	PUNCT
bracis-28378	99	1	in	in	ADP
bracis-28378	99	2	our	our	PRON
bracis-28378	99	3	architecture	architecture	NOUN
bracis-28378	99	4	,	,	PUNCT
bracis-28378	99	5	we	we	PRON
bracis-28378	99	6	adopted	adopt	VERB
bracis-28378	99	7	a	a	DET
bracis-28378	99	8	dropout	dropout	NOUN
bracis-28378	99	9	rate	rate	NOUN
bracis-28378	99	10	of	of	ADP
bracis-28378	99	11	20	20	NUM
bracis-28378	99	12	%	%	NOUN
bracis-28378	99	13	between	between	ADP
bracis-28378	99	14	the	the	DET
bracis-28378	99	15	dense	dense	ADJ
bracis-28378	99	16	layers	layer	NOUN
bracis-28378	99	17	.	.	PUNCT
bracis-28378	100	1	finally	finally	ADV
bracis-28378	100	2	,	,	PUNCT
bracis-28378	100	3	after	after	ADP
bracis-28378	100	4	the	the	DET
bracis-28378	100	5	fully	fully	ADV
bracis-28378	100	6	connected	connected	ADJ
bracis-28378	100	7	layers	layer	NOUN
bracis-28378	100	8	and	and	CCONJ
bracis-28378	100	9	the	the	DET
bracis-28378	100	10	dropouts	dropout	NOUN
bracis-28378	100	11	come	come	VERB
bracis-28378	100	12	to	to	ADP
bracis-28378	100	13	the	the	DET
bracis-28378	100	14	output	output	NOUN
bracis-28378	100	15	layer	layer	NOUN
bracis-28378	100	16	.	.	PUNCT
bracis-28378	101	1	for	for	ADP
bracis-28378	101	2	the	the	DET
bracis-28378	101	3	classification	classification	NOUN
bracis-28378	101	4	problem	problem	NOUN
bracis-28378	101	5	,	,	PUNCT
bracis-28378	101	6	it	it	PRON
bracis-28378	101	7	is	be	AUX
bracis-28378	101	8	common	common	ADJ
bracis-28378	101	9	to	to	PART
bracis-28378	101	10	use	use	VERB
bracis-28378	101	11	as	as	ADV
bracis-28378	101	12	many	many	ADJ
bracis-28378	101	13	neurons	neuron	NOUN
bracis-28378	101	14	as	as	SCONJ
bracis-28378	101	15	there	there	PRON
bracis-28378	101	16	are	be	VERB
bracis-28378	101	17	classes	class	NOUN
bracis-28378	101	18	to	to	PART
bracis-28378	101	19	predict	predict	VERB
bracis-28378	101	20	and	and	CCONJ
bracis-28378	101	21	the	the	DET
bracis-28378	101	22	output	output	NOUN
bracis-28378	101	23	has	have	VERB
bracis-28378	101	24	a	a	DET
bracis-28378	101	25	sigmoid	sigmoid	NOUN
bracis-28378	101	26	activation	activation	NOUN
bracis-28378	101	27	function	function	NOUN
bracis-28378	101	28	that	that	PRON
bracis-28378	101	29	can	can	AUX
bracis-28378	101	30	show	show	VERB
bracis-28378	101	31	the	the	DET
bracis-28378	101	32	result	result	NOUN
bracis-28378	101	33	of	of	ADP
bracis-28378	101	34	the	the	DET
bracis-28378	101	35	classification	classification	NOUN
bracis-28378	101	36	.	.	PUNCT
bracis-28378	102	1	the	the	DET
bracis-28378	102	2	sigmoid	sigmoid	NOUN
bracis-28378	102	3	is	be	AUX
bracis-28378	102	4	represented	represent	VERB
bracis-28378	102	5	in	in	ADP
bracis-28378	102	6	the	the	DET
bracis-28378	102	7	following	follow	VERB
bracis-28378	102	8	equation	equation	NOUN
bracis-28378	102	9	:	:	PUNCT
bracis-28378	102	10	$	$	SYM
bracis-28378	102	11	$	$	SYM
bracis-28378	102	12	\begin{aligned	\begin{aligne	VERB
bracis-28378	102	13	}	}	PUNCT
bracis-28378	102	14	\sigma	\sigma	PROPN
bracis-28378	102	15	(	(	PUNCT
bracis-28378	102	16	x	x	X
bracis-28378	102	17	)	)	PUNCT
bracis-28378	102	18	=	=	SYM
bracis-28378	103	1	\dfrac{1}{1+e^{-x}}~.	\dfrac{1}{1+e^{-x}}~.	PROPN
bracis-28378	103	2	\end{aligned}$$	\end{aligned}$$	X
bracis-28378	103	3	(	(	PUNCT
bracis-28378	103	4	4	4	NUM
bracis-28378	103	5	)	)	PUNCT
bracis-28378	103	6	this	this	DET
bracis-28378	103	7	function	function	NOUN
bracis-28378	103	8	only	only	ADV
bracis-28378	103	9	returns	return	VERB
bracis-28378	103	10	values	value	NOUN
bracis-28378	103	11	between	between	ADP
bracis-28378	103	12	0	0	NUM
bracis-28378	103	13	and	and	CCONJ
bracis-28378	103	14	1	1	NUM
bracis-28378	103	15	.	.	PUNCT
bracis-28378	104	1	it	it	PRON
bracis-28378	104	2	is	be	AUX
bracis-28378	104	3	responsible	responsible	ADJ
bracis-28378	104	4	to	to	PART
bracis-28378	104	5	classify	classify	VERB
bracis-28378	104	6	the	the	DET
bracis-28378	104	7	output	output	NOUN
bracis-28378	104	8	and	and	CCONJ
bracis-28378	104	9	is	be	AUX
bracis-28378	104	10	located	locate	VERB
bracis-28378	104	11	in	in	ADP
bracis-28378	104	12	the	the	DET
bracis-28378	104	13	final	final	ADJ
bracis-28378	104	14	step	step	NOUN
bracis-28378	104	15	of	of	ADP
bracis-28378	104	16	our	our	PRON
bracis-28378	104	17	model	model	NOUN
bracis-28378	104	18	shown	show	VERB
bracis-28378	104	19	in	in	ADP
bracis-28378	104	20	fig	fig	NOUN
bracis-28378	104	21	.	.	PUNCT
bracis-28378	104	22	 	 	SPACE
bracis-28378	105	1	2	2	X
bracis-28378	105	2	.	.	PUNCT
bracis-28378	106	1	the	the	DET
bracis-28378	106	2	cnn	cnn	PROPN
bracis-28378	106	3	architecture	architecture	NOUN
bracis-28378	106	4	shown	show	VERB
bracis-28378	106	5	by	by	ADP
bracis-28378	106	6	fig	fig	NOUN
bracis-28378	106	7	.	.	PUNCT
bracis-28378	106	8	 	 	SPACE
bracis-28378	106	9	2	2	NUM
bracis-28378	106	10	receives	receive	VERB
bracis-28378	106	11	a	a	DET
bracis-28378	106	12	raman	raman	NOUN
bracis-28378	106	13	spectrum	spectrum	NOUN
bracis-28378	106	14	as	as	ADP
bracis-28378	106	15	input	input	NOUN
bracis-28378	106	16	.	.	PUNCT
bracis-28378	107	1	it	it	PRON
bracis-28378	107	2	then	then	ADV
bracis-28378	107	3	extracts	extract	VERB
bracis-28378	107	4	features	feature	NOUN
bracis-28378	107	5	of	of	ADP
bracis-28378	107	6	the	the	DET
bracis-28378	107	7	spectrum	spectrum	NOUN
bracis-28378	107	8	through	through	ADP
bracis-28378	107	9	three	three	NUM
bracis-28378	107	10	one	one	NUM
bracis-28378	107	11	-	-	PUNCT
bracis-28378	107	12	dimensional	dimensional	ADJ
bracis-28378	107	13	convolutional	convolutional	ADJ
bracis-28378	107	14	layers	layer	NOUN
bracis-28378	107	15	.	.	PUNCT
bracis-28378	108	1	at	at	ADP
bracis-28378	108	2	the	the	DET
bracis-28378	108	3	end	end	NOUN
bracis-28378	108	4	of	of	ADP
bracis-28378	108	5	each	each	DET
bracis-28378	108	6	convolutional	convolutional	ADJ
bracis-28378	108	7	layer	layer	NOUN
bracis-28378	108	8	,	,	PUNCT
bracis-28378	108	9	relu	relu	NOUN
bracis-28378	108	10	is	be	AUX
bracis-28378	108	11	adopted	adopt	VERB
bracis-28378	108	12	as	as	ADP
bracis-28378	108	13	the	the	DET
bracis-28378	108	14	activation	activation	NOUN
bracis-28378	108	15	function	function	NOUN
bracis-28378	108	16	.	.	PUNCT
bracis-28378	109	1	between	between	ADP
bracis-28378	109	2	each	each	DET
bracis-28378	109	3	convolutional	convolutional	ADJ
bracis-28378	109	4	layer	layer	NOUN
bracis-28378	109	5	,	,	PUNCT
bracis-28378	109	6	there	there	PRON
bracis-28378	109	7	is	be	VERB
bracis-28378	109	8	a	a	DET
bracis-28378	109	9	maxpooling	maxpoole	VERB
bracis-28378	109	10	layer	layer	NOUN
bracis-28378	109	11	.	.	PUNCT
bracis-28378	110	1	by	by	ADP
bracis-28378	110	2	stacking	stack	VERB
bracis-28378	110	3	multiple	multiple	ADJ
bracis-28378	110	4	convolutional	convolutional	ADJ
bracis-28378	110	5	and	and	CCONJ
bracis-28378	110	6	pooling	pool	VERB
bracis-28378	110	7	layers	layer	NOUN
bracis-28378	110	8	,	,	PUNCT
bracis-28378	110	9	one	one	PRON
bracis-28378	110	10	can	can	AUX
bracis-28378	110	11	gradually	gradually	ADV
bracis-28378	110	12	extract	extract	VERB
bracis-28378	110	13	features	feature	NOUN
bracis-28378	110	14	with	with	ADP
bracis-28378	110	15	a	a	DET
bracis-28378	110	16	higher	high	ADJ
bracis-28378	110	17	(	(	PUNCT
bracis-28378	110	18	complex	complex	ADJ
bracis-28378	110	19	)	)	PUNCT
bracis-28378	110	20	level	level	NOUN
bracis-28378	110	21	of	of	ADP
bracis-28378	110	22	abstraction	abstraction	NOUN
bracis-28378	110	23	.	.	PUNCT
bracis-28378	111	1	after	after	ADP
bracis-28378	111	2	extracting	extract	VERB
bracis-28378	111	3	the	the	DET
bracis-28378	111	4	features	feature	NOUN
bracis-28378	111	5	of	of	ADP
bracis-28378	111	6	the	the	DET
bracis-28378	111	7	input	input	NOUN
bracis-28378	111	8	,	,	PUNCT
bracis-28378	111	9	the	the	DET
bracis-28378	111	10	flattening	flattening	NOUN
bracis-28378	111	11	step	step	NOUN
bracis-28378	111	12	transforms	transform	VERB
bracis-28378	111	13	the	the	DET
bracis-28378	111	14	arrays	array	NOUN
bracis-28378	111	15	into	into	ADP
bracis-28378	111	16	an	an	DET
bracis-28378	111	17	one	one	NUM
bracis-28378	111	18	-	-	PUNCT
bracis-28378	111	19	dimensional	dimensional	ADJ
bracis-28378	111	20	vector	vector	NOUN
bracis-28378	111	21	to	to	PART
bracis-28378	111	22	start	start	VERB
bracis-28378	111	23	the	the	DET
bracis-28378	111	24	classification	classification	NOUN
bracis-28378	111	25	method	method	NOUN
bracis-28378	111	26	.	.	PUNCT
bracis-28378	112	1	the	the	DET
bracis-28378	112	2	dense	dense	ADJ
bracis-28378	112	3	layers	layer	NOUN
bracis-28378	112	4	,	,	PUNCT
bracis-28378	112	5	which	which	PRON
bracis-28378	112	6	are	be	AUX
bracis-28378	112	7	also	also	ADV
bracis-28378	112	8	composed	compose	VERB
bracis-28378	112	9	by	by	ADP
bracis-28378	112	10	dropout	dropout	NOUN
bracis-28378	112	11	functions	function	NOUN
bracis-28378	112	12	,	,	PUNCT
bracis-28378	112	13	learn	learn	VERB
bracis-28378	112	14	the	the	DET
bracis-28378	112	15	weights	weight	NOUN
bracis-28378	112	16	to	to	PART
bracis-28378	112	17	accurately	accurately	ADV
bracis-28378	112	18	adjust	adjust	VERB
bracis-28378	112	19	the	the	DET
bracis-28378	112	20	classification	classification	NOUN
bracis-28378	112	21	of	of	ADP
bracis-28378	112	22	each	each	DET
bracis-28378	112	23	group	group	NOUN
bracis-28378	112	24	,	,	PUNCT
bracis-28378	112	25	and	and	CCONJ
bracis-28378	112	26	the	the	DET
bracis-28378	112	27	sigmoid	sigmoid	NOUN
bracis-28378	112	28	function	function	NOUN
bracis-28378	112	29	is	be	AUX
bracis-28378	112	30	used	use	VERB
bracis-28378	112	31	to	to	PART
bracis-28378	112	32	return	return	VERB
bracis-28378	112	33	the	the	DET
bracis-28378	112	34	prediction	prediction	NOUN
bracis-28378	112	35	.	.	PUNCT
bracis-28378	113	1	4	4	NUM
bracis-28378	113	2	experimental	experimental	ADJ
bracis-28378	113	3	results	result	NOUN
bracis-28378	113	4	in	in	ADP
bracis-28378	113	5	this	this	DET
bracis-28378	113	6	section	section	NOUN
bracis-28378	113	7	,	,	PUNCT
bracis-28378	113	8	we	we	PRON
bracis-28378	113	9	present	present	VERB
bracis-28378	113	10	the	the	DET
bracis-28378	113	11	experiments	experiment	NOUN
bracis-28378	113	12	and	and	CCONJ
bracis-28378	113	13	results	result	NOUN
bracis-28378	113	14	obtained	obtain	VERB
bracis-28378	113	15	by	by	ADP
bracis-28378	113	16	our	our	PRON
bracis-28378	113	17	cnn	cnn	PROPN
bracis-28378	113	18	in	in	ADP
bracis-28378	113	19	comparison	comparison	NOUN
bracis-28378	113	20	with	with	ADP
bracis-28378	113	21	other	other	ADJ
bracis-28378	113	22	techniques	technique	NOUN
bracis-28378	113	23	in	in	ADP
bracis-28378	113	24	the	the	DET
bracis-28378	113	25	problem	problem	NOUN
bracis-28378	113	26	of	of	ADP
bracis-28378	113	27	covid-19	covid-19	PROPN
bracis-28378	113	28	detection	detection	NOUN
bracis-28378	113	29	from	from	ADP
bracis-28378	113	30	raman	raman	NOUN
bracis-28378	113	31	spectra	spectra	NOUN
bracis-28378	113	32	.	.	PUNCT
bracis-28378	114	1	in	in	ADP
bracis-28378	114	2	addition	addition	NOUN
bracis-28378	114	3	,	,	PUNCT
bracis-28378	114	4	we	we	PRON
bracis-28378	114	5	also	also	ADV
bracis-28378	114	6	present	present	VERB
bracis-28378	114	7	an	an	DET
bracis-28378	114	8	explainability	explainability	NOUN
bracis-28378	114	9	analysis	analysis	NOUN
bracis-28378	114	10	regarding	regard	VERB
bracis-28378	114	11	the	the	DET
bracis-28378	114	12	salient	salient	NOUN
bracis-28378	114	13	features	feature	NOUN
bracis-28378	114	14	considered	consider	VERB
bracis-28378	114	15	by	by	ADP
bracis-28378	114	16	cnn	cnn	PROPN
bracis-28378	114	17	in	in	ADP
bracis-28378	114	18	its	its	PRON
bracis-28378	114	19	classification	classification	NOUN
bracis-28378	114	20	using	use	VERB
bracis-28378	114	21	shapley	shapley	ADJ
bracis-28378	114	22	additive	additive	ADJ
bracis-28378	114	23	explanations	explanation	NOUN
bracis-28378	114	24	(	(	PUNCT
bracis-28378	114	25	shap	shap	NOUN
bracis-28378	114	26	)	)	PUNCT
bracis-28378	115	1	[	[	X
bracis-28378	115	2	3	3	NUM
bracis-28378	115	3	]	]	PUNCT
bracis-28378	115	4	.	.	PUNCT
bracis-28378	116	1	the	the	DET
bracis-28378	116	2	experiments	experiment	NOUN
bracis-28378	116	3	were	be	AUX
bracis-28378	116	4	conducted	conduct	VERB
bracis-28378	116	5	using	use	VERB
bracis-28378	116	6	a	a	DET
bracis-28378	116	7	k	k	ADJ
bracis-28378	116	8	-	-	ADJ
bracis-28378	116	9	fold	fold	ADJ
bracis-28378	116	10	cross	cross	ADJ
bracis-28378	116	11	-	-	ADJ
bracis-28378	116	12	validation	validation	ADJ
bracis-28378	116	13	process	process	NOUN
bracis-28378	116	14	.	.	PUNCT
bracis-28378	117	1	this	this	DET
bracis-28378	117	2	method	method	NOUN
bracis-28378	117	3	partition	partition	NOUN
bracis-28378	117	4	the	the	DET
bracis-28378	117	5	dataset	dataset	NOUN
bracis-28378	117	6	samples	sample	NOUN
bracis-28378	117	7	in	in	ADP
bracis-28378	117	8	k	k	PROPN
bracis-28378	117	9	disjoint	disjoint	PROPN
bracis-28378	117	10	subsets	subset	NOUN
bracis-28378	117	11	,	,	PUNCT
bracis-28378	117	12	with	with	ADP
bracis-28378	117	13	k-1	k-1	PROPN
bracis-28378	117	14	adopted	adopt	VERB
bracis-28378	117	15	as	as	ADP
bracis-28378	117	16	a	a	DET
bracis-28378	117	17	training	training	NOUN
bracis-28378	117	18	set	set	NOUN
bracis-28378	117	19	and	and	CCONJ
bracis-28378	117	20	the	the	DET
bracis-28378	117	21	remaining	remain	VERB
bracis-28378	117	22	one	one	NUM
bracis-28378	117	23	as	as	ADP
bracis-28378	117	24	a	a	DET
bracis-28378	117	25	test	test	NOUN
bracis-28378	117	26	set	set	NOUN
bracis-28378	117	27	.	.	PUNCT
bracis-28378	118	1	a	a	DET
bracis-28378	118	2	total	total	NOUN
bracis-28378	118	3	of	of	ADP
bracis-28378	118	4	k	k	PROPN
bracis-28378	118	5	executions	execution	NOUN
bracis-28378	118	6	are	be	AUX
bracis-28378	118	7	performed	perform	VERB
bracis-28378	118	8	,	,	PUNCT
bracis-28378	118	9	which	which	PRON
bracis-28378	118	10	means	mean	VERB
bracis-28378	118	11	each	each	DET
bracis-28378	118	12	subset	subset	NOUN
bracis-28378	118	13	is	be	AUX
bracis-28378	118	14	adopted	adopt	VERB
bracis-28378	118	15	as	as	ADP
bracis-28378	118	16	the	the	DET
bracis-28378	118	17	test	test	NOUN
bracis-28378	118	18	set	set	VERB
bracis-28378	118	19	once	once	ADV
bracis-28378	118	20	.	.	PUNCT
bracis-28378	119	1	the	the	DET
bracis-28378	119	2	predictive	predictive	ADJ
bracis-28378	119	3	performance	performance	NOUN
bracis-28378	119	4	of	of	ADP
bracis-28378	119	5	the	the	DET
bracis-28378	119	6	techniques	technique	NOUN
bracis-28378	119	7	is	be	AUX
bracis-28378	119	8	then	then	ADV
bracis-28378	119	9	obtained	obtain	VERB
bracis-28378	119	10	over	over	ADP
bracis-28378	119	11	k	k	PROPN
bracis-28378	119	12	executions	execution	NOUN
bracis-28378	119	13	in	in	ADP
bracis-28378	119	14	which	which	PRON
bracis-28378	119	15	performance	performance	NOUN
bracis-28378	119	16	metrics	metric	NOUN
bracis-28378	119	17	like	like	ADP
bracis-28378	119	18	accuracy	accuracy	NOUN
bracis-28378	119	19	,	,	PUNCT
bracis-28378	119	20	sensitivity	sensitivity	NOUN
bracis-28378	119	21	,	,	PUNCT
bracis-28378	119	22	and	and	CCONJ
bracis-28378	119	23	specificity	specificity	NOUN
bracis-28378	119	24	are	be	AUX
bracis-28378	119	25	calculated	calculate	VERB
bracis-28378	119	26	.	.	PUNCT
bracis-28378	120	1	in	in	ADP
bracis-28378	120	2	this	this	DET
bracis-28378	120	3	study	study	NOUN
bracis-28378	120	4	,	,	PUNCT
bracis-28378	120	5	we	we	PRON
bracis-28378	120	6	considered	consider	VERB
bracis-28378	120	7	5	5	NUM
bracis-28378	120	8	-	-	ADJ
bracis-28378	120	9	fold	fold	ADJ
bracis-28378	120	10	cross	cross	NOUN
bracis-28378	120	11	-	-	NOUN
bracis-28378	120	12	validation	validation	NOUN
bracis-28378	120	13	.	.	PUNCT
bracis-28378	121	1	we	we	PRON
bracis-28378	121	2	compared	compare	VERB
bracis-28378	121	3	our	our	PRON
bracis-28378	121	4	cnn	cnn	PROPN
bracis-28378	121	5	technique	technique	NOUN
bracis-28378	121	6	against	against	ADP
bracis-28378	121	7	widely	widely	ADV
bracis-28378	121	8	known	know	VERB
bracis-28378	121	9	supervised	supervised	ADJ
bracis-28378	121	10	learning	learning	NOUN
bracis-28378	121	11	techniques	technique	NOUN
bracis-28378	121	12	like	like	ADP
bracis-28378	121	13	naive	naive	ADJ
bracis-28378	121	14	bayes	bayes	NOUN
bracis-28378	121	15	(	(	PUNCT
bracis-28378	121	16	nb	nb	PROPN
bracis-28378	121	17	)	)	PUNCT
bracis-28378	121	18	,	,	PUNCT
bracis-28378	121	19	random	random	ADJ
bracis-28378	121	20	forest	forest	NOUN
bracis-28378	121	21	(	(	PUNCT
bracis-28378	121	22	rf	rf	NOUN
bracis-28378	121	23	)	)	PUNCT
bracis-28378	121	24	,	,	PUNCT
bracis-28378	121	25	extreme	extreme	ADJ
bracis-28378	121	26	gradient	gradient	NOUN
bracis-28378	121	27	boosting	boost	VERB
bracis-28378	121	28	(	(	PUNCT
bracis-28378	121	29	xgb	xgb	NUM
bracis-28378	121	30	)	)	PUNCT
bracis-28378	121	31	,	,	PUNCT
bracis-28378	121	32	multi	multi	ADJ
bracis-28378	121	33	-	-	ADJ
bracis-28378	121	34	layer	layer	ADJ
bracis-28378	121	35	perceptron	perceptron	NOUN
bracis-28378	121	36	(	(	PUNCT
bracis-28378	121	37	mlp	mlp	PROPN
bracis-28378	121	38	)	)	PUNCT
bracis-28378	121	39	,	,	PUNCT
bracis-28378	121	40	and	and	CCONJ
bracis-28378	121	41	support	support	VERB
bracis-28378	121	42	vector	vector	NOUN
bracis-28378	121	43	machine	machine	NOUN
bracis-28378	121	44	(	(	PUNCT
bracis-28378	121	45	svm	svm	PROPN
bracis-28378	121	46	)	)	PUNCT
bracis-28378	121	47	as	as	ADV
bracis-28378	121	48	well	well	ADV
bracis-28378	121	49	as	as	ADP
bracis-28378	121	50	against	against	ADP
bracis-28378	121	51	other	other	ADJ
bracis-28378	121	52	deep	deep	ADJ
bracis-28378	121	53	learning	learning	NOUN
bracis-28378	121	54	techniques	technique	NOUN
bracis-28378	121	55	like	like	ADP
bracis-28378	121	56	fully	fully	ADV
bracis-28378	121	57	convolutional	convolutional	ADJ
bracis-28378	121	58	network	network	NOUN
bracis-28378	121	59	(	(	PUNCT
bracis-28378	121	60	fcn	fcn	PROPN
bracis-28378	121	61	)	)	PUNCT
bracis-28378	121	62	,	,	PUNCT
bracis-28378	121	63	multi	multi	ADJ
bracis-28378	121	64	-	-	ADJ
bracis-28378	121	65	channel	channel	ADJ
bracis-28378	121	66	deep	deep	ADJ
bracis-28378	121	67	convolutional	convolutional	ADJ
bracis-28378	121	68	neural	neural	ADJ
bracis-28378	121	69	network	network	NOUN
bracis-28378	121	70	(	(	PUNCT
bracis-28378	121	71	mcdcnn	mcdcnn	PROPN
bracis-28378	121	72	)	)	PUNCT
bracis-28378	121	73	and	and	CCONJ
bracis-28378	121	74	residual	residual	ADJ
bracis-28378	121	75	networks	network	NOUN
bracis-28378	121	76	(	(	PUNCT
bracis-28378	121	77	resnet	resnet	NOUN
bracis-28378	121	78	)	)	PUNCT
bracis-28378	121	79	.	.	PUNCT
bracis-28378	122	1	all	all	DET
bracis-28378	122	2	models	model	NOUN
bracis-28378	122	3	were	be	AUX
bracis-28378	122	4	trained	train	VERB
bracis-28378	122	5	using	use	VERB
bracis-28378	122	6	the	the	DET
bracis-28378	122	7	parameters	parameter	NOUN
bracis-28378	122	8	recommended	recommend	VERB
bracis-28378	122	9	in	in	ADP
bracis-28378	122	10	[	[	X
bracis-28378	122	11	10	10	NUM
bracis-28378	122	12	,	,	PUNCT
bracis-28378	122	13	19	19	NUM
bracis-28378	122	14	]	]	PUNCT
bracis-28378	122	15	.	.	PUNCT
bracis-28378	123	1	regarding	regard	VERB
bracis-28378	123	2	the	the	DET
bracis-28378	123	3	computational	computational	ADJ
bracis-28378	123	4	simulations	simulation	NOUN
bracis-28378	123	5	,	,	PUNCT
bracis-28378	123	6	the	the	DET
bracis-28378	123	7	experiments	experiment	NOUN
bracis-28378	123	8	were	be	AUX
bracis-28378	123	9	done	do	VERB
bracis-28378	123	10	using	use	VERB
bracis-28378	123	11	python	python	NOUN
bracis-28378	123	12	on	on	ADP
bracis-28378	123	13	two	two	NUM
bracis-28378	123	14	machines	machine	NOUN
bracis-28378	123	15	:	:	PUNCT
bracis-28378	123	16	a	a	DET
bracis-28378	123	17	laptop	laptop	NOUN
bracis-28378	123	18	with	with	ADP
bracis-28378	123	19	core	core	NOUN
bracis-28378	123	20	i7	i7	ADJ
bracis-28378	123	21	9th	9th	ADJ
bracis-28378	123	22	gen	gen	NOUN
bracis-28378	123	23	processor	processor	NOUN
bracis-28378	123	24	,	,	PUNCT
bracis-28378	123	25	32	32	NUM
bracis-28378	123	26	gb	gb	NOUN
bracis-28378	123	27	of	of	ADP
bracis-28378	123	28	ram	ram	NOUN
bracis-28378	123	29	,	,	PUNCT
bracis-28378	123	30	and	and	CCONJ
bracis-28378	123	31	geforce	geforce	NOUN
bracis-28378	123	32	gtx	gtx	PROPN
bracis-28378	123	33	1660ti	1660ti	PROPN
bracis-28378	123	34	gpu	gpu	PROPN
bracis-28378	123	35	,	,	PUNCT
bracis-28378	123	36	and	and	CCONJ
bracis-28378	123	37	a	a	DET
bracis-28378	123	38	desktop	desktop	NOUN
bracis-28378	123	39	with	with	ADP
bracis-28378	123	40	ryzen	ryzen	ADJ
bracis-28378	123	41	9	9	NUM
bracis-28378	123	42	processor	processor	NOUN
bracis-28378	123	43	,	,	PUNCT
bracis-28378	123	44	32	32	NUM
bracis-28378	123	45	gb	gb	NOUN
bracis-28378	123	46	of	of	ADP
bracis-28378	123	47	ram	ram	NOUN
bracis-28378	123	48	,	,	PUNCT
bracis-28378	123	49	and	and	CCONJ
bracis-28378	123	50	titan	titan	PROPN
bracis-28378	123	51	v	v	PROPN
bracis-28378	123	52	gpu	gpu	PROPN
bracis-28378	123	53	.	.	PROPN
bracis-28378	123	54	4.1	4.1	NUM
bracis-28378	123	55	predictive	predictive	ADJ
bracis-28378	123	56	results	result	NOUN
bracis-28378	123	57	for	for	ADP
bracis-28378	123	58	 	 	SPACE
bracis-28378	123	59	covid-19	covid-19	PROPN
bracis-28378	123	60	detection	detection	NOUN
bracis-28378	123	61	table	table	NOUN
bracis-28378	123	62	 	 	SPACE
bracis-28378	123	63	1	1	NUM
bracis-28378	123	64	shows	show	VERB
bracis-28378	123	65	the	the	DET
bracis-28378	123	66	predictive	predictive	ADJ
bracis-28378	123	67	results	result	NOUN
bracis-28378	123	68	of	of	ADP
bracis-28378	123	69	the	the	DET
bracis-28378	123	70	techniques	technique	NOUN
bracis-28378	123	71	under	under	ADP
bracis-28378	123	72	analysis	analysis	NOUN
bracis-28378	123	73	in	in	ADP
bracis-28378	123	74	terms	term	NOUN
bracis-28378	123	75	of	of	ADP
bracis-28378	123	76	accuracy	accuracy	NOUN
bracis-28378	123	77	,	,	PUNCT
bracis-28378	123	78	sensitivity	sensitivity	NOUN
bracis-28378	123	79	,	,	PUNCT
bracis-28378	123	80	and	and	CCONJ
bracis-28378	123	81	specificity	specificity	NOUN
bracis-28378	123	82	.	.	PUNCT
bracis-28378	124	1	as	as	SCONJ
bracis-28378	124	2	sensitivity	sensitivity	NOUN
bracis-28378	124	3	and	and	CCONJ
bracis-28378	124	4	specificity	specificity	NOUN
bracis-28378	124	5	covers	cover	VERB
bracis-28378	124	6	different	different	ADJ
bracis-28378	124	7	groups	group	NOUN
bracis-28378	124	8	,	,	PUNCT
bracis-28378	124	9	in	in	ADP
bracis-28378	124	10	order	order	NOUN
bracis-28378	124	11	to	to	PART
bracis-28378	124	12	support	support	VERB
bracis-28378	124	13	our	our	PRON
bracis-28378	124	14	analysis	analysis	NOUN
bracis-28378	124	15	we	we	PRON
bracis-28378	124	16	also	also	ADV
bracis-28378	124	17	evaluate	evaluate	VERB
bracis-28378	124	18	the	the	DET
bracis-28378	124	19	arithmetic	arithmetic	ADJ
bracis-28378	124	20	and	and	CCONJ
bracis-28378	124	21	harmonic	harmonic	ADJ
bracis-28378	124	22	mean	mean	NOUN
bracis-28378	124	23	between	between	ADP
bracis-28378	124	24	both	both	DET
bracis-28378	124	25	metrics	metric	NOUN
bracis-28378	124	26	,	,	PUNCT
bracis-28378	124	27	respectively	respectively	ADV
bracis-28378	124	28	named	name	VERB
bracis-28378	124	29	mean(se	mean(se	NOUN
bracis-28378	124	30	,	,	PUNCT
bracis-28378	124	31	sp	sp	NOUN
bracis-28378	124	32	)	)	PUNCT
bracis-28378	124	33	and	and	CCONJ
bracis-28378	124	34	f1(se	f1(se	PROPN
bracis-28378	124	35	,	,	PUNCT
bracis-28378	124	36	sp	sp	NOUN
bracis-28378	124	37	)	)	PUNCT
bracis-28378	124	38	.	.	PUNCT
bracis-28378	125	1	the	the	DET
bracis-28378	125	2	best	good	ADJ
bracis-28378	125	3	result	result	NOUN
bracis-28378	125	4	obtained	obtain	VERB
bracis-28378	125	5	by	by	ADP
bracis-28378	125	6	each	each	DET
bracis-28378	125	7	metric	metric	NOUN
bracis-28378	125	8	is	be	AUX
bracis-28378	125	9	boldfaced	boldface	VERB
bracis-28378	125	10	in	in	ADP
bracis-28378	125	11	the	the	DET
bracis-28378	125	12	table	table	NOUN
bracis-28378	125	13	.	.	PUNCT
bracis-28378	126	1	among	among	ADP
bracis-28378	126	2	traditional	traditional	ADJ
bracis-28378	126	3	techniques	technique	NOUN
bracis-28378	126	4	,	,	PUNCT
bracis-28378	126	5	rf	rf	NOUN
bracis-28378	126	6	,	,	PUNCT
bracis-28378	126	7	svm	svm	NOUN
bracis-28378	126	8	and	and	CCONJ
bracis-28378	126	9	mlp	mlp	PROPN
bracis-28378	126	10	achieved	achieve	VERB
bracis-28378	126	11	the	the	DET
bracis-28378	126	12	best	good	ADJ
bracis-28378	126	13	results	result	NOUN
bracis-28378	126	14	.	.	PUNCT
bracis-28378	127	1	indeed	indeed	ADV
bracis-28378	127	2	,	,	PUNCT
bracis-28378	127	3	svm	svm	PROPN
bracis-28378	127	4	and	and	CCONJ
bracis-28378	127	5	mlp	mlp	PROPN
bracis-28378	127	6	have	have	VERB
bracis-28378	127	7	respectively	respectively	ADV
bracis-28378	127	8	the	the	DET
bracis-28378	127	9	highest	high	ADJ
bracis-28378	127	10	sensitivity	sensitivity	NOUN
bracis-28378	127	11	and	and	CCONJ
bracis-28378	127	12	specificity	specificity	NOUN
bracis-28378	127	13	in	in	ADP
bracis-28378	127	14	the	the	DET
bracis-28378	127	15	table	table	NOUN
bracis-28378	127	16	.	.	PUNCT
bracis-28378	128	1	however	however	ADV
bracis-28378	128	2	,	,	PUNCT
bracis-28378	128	3	the	the	DET
bracis-28378	128	4	best	good	ADJ
bracis-28378	128	5	overall	overall	ADJ
bracis-28378	128	6	results	result	NOUN
bracis-28378	128	7	were	be	AUX
bracis-28378	128	8	achieved	achieve	VERB
bracis-28378	128	9	by	by	ADP
bracis-28378	128	10	the	the	DET
bracis-28378	128	11	cnn	cnn	PROPN
bracis-28378	128	12	which	which	PRON
bracis-28378	128	13	classified	classify	VERB
bracis-28378	128	14	samples	sample	NOUN
bracis-28378	128	15	correctly	correctly	ADV
bracis-28378	128	16	more	more	ADJ
bracis-28378	128	17	than	than	ADP
bracis-28378	128	18	any	any	DET
bracis-28378	128	19	other	other	ADJ
bracis-28378	128	20	technique	technique	NOUN
bracis-28378	128	21	.	.	PUNCT
bracis-28378	129	1	on	on	ADP
bracis-28378	129	2	the	the	DET
bracis-28378	129	3	other	other	ADJ
bracis-28378	129	4	hand	hand	NOUN
bracis-28378	129	5	,	,	PUNCT
bracis-28378	129	6	worse	bad	ADJ
bracis-28378	129	7	results	result	NOUN
bracis-28378	129	8	were	be	AUX
bracis-28378	129	9	obtained	obtain	VERB
bracis-28378	129	10	by	by	ADP
bracis-28378	129	11	nb	nb	PROPN
bracis-28378	129	12	and	and	CCONJ
bracis-28378	129	13	fcn	fcn	PROPN
bracis-28378	129	14	.	.	PUNCT
bracis-28378	130	1	while	while	SCONJ
bracis-28378	130	2	nb	nb	PROPN
bracis-28378	130	3	is	be	AUX
bracis-28378	130	4	the	the	DET
bracis-28378	130	5	unique	unique	ADJ
bracis-28378	130	6	linear	linear	ADJ
bracis-28378	130	7	technique	technique	NOUN
bracis-28378	130	8	under	under	ADP
bracis-28378	130	9	analysis	analysis	NOUN
bracis-28378	130	10	,	,	PUNCT
bracis-28378	130	11	fcn	fcn	PROPN
bracis-28378	130	12	is	be	AUX
bracis-28378	130	13	a	a	DET
bracis-28378	130	14	deep	deep	ADJ
bracis-28378	130	15	learning	learning	NOUN
bracis-28378	130	16	technique	technique	NOUN
bracis-28378	130	17	essentially	essentially	ADV
bracis-28378	130	18	based	base	VERB
bracis-28378	130	19	on	on	ADP
bracis-28378	130	20	the	the	DET
bracis-28378	130	21	convolutional	convolutional	ADJ
bracis-28378	130	22	layer	layer	NOUN
bracis-28378	130	23	,	,	PUNCT
bracis-28378	130	24	which	which	PRON
bracis-28378	130	25	means	mean	VERB
bracis-28378	130	26	it	it	PRON
bracis-28378	130	27	does	do	AUX
bracis-28378	130	28	not	not	PART
bracis-28378	130	29	have	have	VERB
bracis-28378	130	30	fully	fully	ADV
bracis-28378	130	31	connected	connect	VERB
bracis-28378	130	32	layers	layer	NOUN
bracis-28378	130	33	to	to	PART
bracis-28378	130	34	help	help	VERB
bracis-28378	130	35	in	in	ADP
bracis-28378	130	36	the	the	DET
bracis-28378	130	37	learning	learning	NOUN
bracis-28378	130	38	of	of	ADP
bracis-28378	130	39	complex	complex	ADJ
bracis-28378	130	40	mapping	mapping	NOUN
bracis-28378	130	41	functions	function	NOUN
bracis-28378	130	42	.	.	PUNCT
bracis-28378	131	1	table	table	NOUN
bracis-28378	131	2	1	1	NUM
bracis-28378	131	3	.	.	PUNCT
bracis-28378	131	4	predictive	predictive	ADJ
bracis-28378	131	5	performance	performance	NOUN
bracis-28378	131	6	of	of	ADP
bracis-28378	131	7	the	the	DET
bracis-28378	131	8	techniques	technique	NOUN
bracis-28378	131	9	under	under	ADP
bracis-28378	131	10	analysis	analysis	NOUN
bracis-28378	131	11	for	for	ADP
bracis-28378	131	12	the	the	DET
bracis-28378	131	13	covid-19	covid-19	PROPN
bracis-28378	131	14	detection	detection	NOUN
bracis-28378	131	15	from	from	ADP
bracis-28378	131	16	raman	raman	NOUN
bracis-28378	131	17	spectra.full	spectra.full	NOUN
bracis-28378	131	18	size	size	NOUN
bracis-28378	131	19	table	table	NOUN
bracis-28378	131	20	fig	fig	NOUN
bracis-28378	131	21	.	.	PUNCT
bracis-28378	132	1	3	3	X
bracis-28378	132	2	.	.	X
bracis-28378	132	3	analysis	analysis	NOUN
bracis-28378	132	4	of	of	ADP
bracis-28378	132	5	the	the	DET
bracis-28378	132	6	predictive	predictive	ADJ
bracis-28378	132	7	performance	performance	NOUN
bracis-28378	132	8	of	of	ADP
bracis-28378	132	9	the	the	DET
bracis-28378	132	10	techniques	technique	NOUN
bracis-28378	132	11	under	under	ADP
bracis-28378	132	12	comparison	comparison	NOUN
bracis-28378	132	13	over	over	ADP
bracis-28378	132	14	the	the	DET
bracis-28378	132	15	5	5	NUM
bracis-28378	132	16	-	-	ADJ
bracis-28378	132	17	fold	fold	ADJ
bracis-28378	132	18	cross	cross	NOUN
bracis-28378	132	19	-	-	NOUN
bracis-28378	132	20	validation	validation	NOUN
bracis-28378	132	21	.	.	PUNCT
bracis-28378	133	1	full	full	ADJ
bracis-28378	133	2	size	size	NOUN
bracis-28378	133	3	image	image	NOUN
bracis-28378	133	4	now	now	ADV
bracis-28378	133	5	we	we	PRON
bracis-28378	133	6	analyze	analyze	VERB
bracis-28378	133	7	each	each	DET
bracis-28378	133	8	one	one	NUM
bracis-28378	133	9	of	of	ADP
bracis-28378	133	10	the	the	DET
bracis-28378	133	11	executions	execution	NOUN
bracis-28378	133	12	of	of	ADP
bracis-28378	133	13	the	the	DET
bracis-28378	133	14	5	5	NUM
bracis-28378	133	15	-	-	ADJ
bracis-28378	133	16	fold	fold	ADJ
bracis-28378	133	17	cross	cross	NOUN
bracis-28378	133	18	-	-	NOUN
bracis-28378	133	19	validation	validation	NOUN
bracis-28378	133	20	in	in	ADP
bracis-28378	133	21	order	order	NOUN
bracis-28378	133	22	to	to	PART
bracis-28378	133	23	better	well	ADV
bracis-28378	133	24	understand	understand	VERB
bracis-28378	133	25	the	the	DET
bracis-28378	133	26	performance	performance	NOUN
bracis-28378	133	27	of	of	ADP
bracis-28378	133	28	the	the	DET
bracis-28378	133	29	techniques	technique	NOUN
bracis-28378	133	30	under	under	ADP
bracis-28378	133	31	analysis	analysis	NOUN
bracis-28378	133	32	.	.	PUNCT
bracis-28378	134	1	figure	figure	NOUN
bracis-28378	134	2	 	 	SPACE
bracis-28378	134	3	3	3	NUM
bracis-28378	134	4	shows	show	VERB
bracis-28378	134	5	the	the	DET
bracis-28378	134	6	predictive	predictive	ADJ
bracis-28378	134	7	performance	performance	NOUN
bracis-28378	134	8	of	of	ADP
bracis-28378	134	9	each	each	DET
bracis-28378	134	10	model	model	NOUN
bracis-28378	134	11	in	in	ADP
bracis-28378	134	12	terms	term	NOUN
bracis-28378	134	13	of	of	ADP
bracis-28378	134	14	accuracy	accuracy	NOUN
bracis-28378	134	15	,	,	PUNCT
bracis-28378	134	16	specificity	specificity	NOUN
bracis-28378	134	17	,	,	PUNCT
bracis-28378	134	18	sensitivity	sensitivity	NOUN
bracis-28378	134	19	,	,	PUNCT
bracis-28378	134	20	and	and	CCONJ
bracis-28378	134	21	mean(se	mean(se	NOUN
bracis-28378	134	22	,	,	PUNCT
bracis-28378	134	23	sp	sp	NOUN
bracis-28378	134	24	)	)	PUNCT
bracis-28378	134	25	.	.	PUNCT
bracis-28378	135	1	one	one	PRON
bracis-28378	135	2	can	can	AUX
bracis-28378	135	3	see	see	VERB
bracis-28378	135	4	fcn	fcn	PROPN
bracis-28378	135	5	really	really	ADV
bracis-28378	135	6	had	have	VERB
bracis-28378	135	7	troubles	trouble	NOUN
bracis-28378	135	8	in	in	ADP
bracis-28378	135	9	some	some	DET
bracis-28378	135	10	executions	execution	NOUN
bracis-28378	135	11	.	.	PUNCT
bracis-28378	136	1	one	one	PRON
bracis-28378	136	2	can	can	AUX
bracis-28378	136	3	also	also	ADV
bracis-28378	136	4	see	see	VERB
bracis-28378	136	5	that	that	SCONJ
bracis-28378	136	6	resnet	resnet	NOUN
bracis-28378	136	7	,	,	PUNCT
bracis-28378	136	8	a	a	DET
bracis-28378	136	9	state	state	NOUN
bracis-28378	136	10	-	-	PUNCT
bracis-28378	136	11	of	of	ADP
bracis-28378	136	12	-	-	PUNCT
bracis-28378	136	13	the	the	DET
bracis-28378	136	14	-	-	PUNCT
bracis-28378	136	15	art	art	NOUN
bracis-28378	136	16	deep	deep	ADJ
bracis-28378	136	17	learning	learning	NOUN
bracis-28378	136	18	technique	technique	NOUN
bracis-28378	136	19	,	,	PUNCT
bracis-28378	136	20	had	have	VERB
bracis-28378	136	21	its	its	PRON
bracis-28378	136	22	performance	performance	NOUN
bracis-28378	136	23	oscillating	oscillate	VERB
bracis-28378	136	24	among	among	ADP
bracis-28378	136	25	the	the	DET
bracis-28378	136	26	executions	execution	NOUN
bracis-28378	136	27	.	.	PUNCT
bracis-28378	137	1	for	for	ADP
bracis-28378	137	2	example	example	NOUN
bracis-28378	137	3	,	,	PUNCT
bracis-28378	137	4	in	in	ADP
bracis-28378	137	5	fig	fig	NOUN
bracis-28378	137	6	.	.	PUNCT
bracis-28378	137	7	 	 	SPACE
bracis-28378	137	8	3	3	NUM
bracis-28378	137	9	resnet	resnet	NOUN
bracis-28378	137	10	achieved	achieve	VERB
bracis-28378	137	11	the	the	DET
bracis-28378	137	12	worst	bad	ADJ
bracis-28378	137	13	(	(	PUNCT
bracis-28378	137	14	execution	execution	NOUN
bracis-28378	137	15	1	1	NUM
bracis-28378	137	16	)	)	PUNCT
bracis-28378	137	17	and	and	CCONJ
bracis-28378	137	18	the	the	DET
bracis-28378	137	19	best	good	ADJ
bracis-28378	137	20	predictive	predictive	ADJ
bracis-28378	137	21	result	result	NOUN
bracis-28378	137	22	(	(	PUNCT
bracis-28378	137	23	execution	execution	NOUN
bracis-28378	137	24	3	3	NUM
bracis-28378	137	25	)	)	PUNCT
bracis-28378	137	26	,	,	PUNCT
bracis-28378	137	27	indicating	indicate	VERB
bracis-28378	137	28	that	that	SCONJ
bracis-28378	137	29	the	the	DET
bracis-28378	137	30	model	model	NOUN
bracis-28378	137	31	may	may	AUX
bracis-28378	137	32	be	be	AUX
bracis-28378	137	33	overfitted	overfitte	VERB
bracis-28378	137	34	in	in	ADP
bracis-28378	137	35	some	some	DET
bracis-28378	137	36	scenarios	scenario	NOUN
bracis-28378	137	37	,	,	PUNCT
bracis-28378	137	38	which	which	PRON
bracis-28378	137	39	will	will	AUX
bracis-28378	137	40	be	be	AUX
bracis-28378	137	41	subject	subject	ADJ
bracis-28378	137	42	of	of	ADP
bracis-28378	137	43	our	our	PRON
bracis-28378	137	44	further	further	ADJ
bracis-28378	137	45	investigations	investigation	NOUN
bracis-28378	137	46	.	.	PUNCT
bracis-28378	138	1	regarding	regard	VERB
bracis-28378	138	2	the	the	DET
bracis-28378	138	3	cnn	cnn	PROPN
bracis-28378	138	4	performance	performance	NOUN
bracis-28378	138	5	,	,	PUNCT
bracis-28378	138	6	it	it	PRON
bracis-28378	138	7	was	be	AUX
bracis-28378	138	8	very	very	ADV
bracis-28378	138	9	stable	stable	ADJ
bracis-28378	138	10	in	in	ADP
bracis-28378	138	11	terms	term	NOUN
bracis-28378	138	12	of	of	ADP
bracis-28378	138	13	accuracy	accuracy	NOUN
bracis-28378	138	14	,	,	PUNCT
bracis-28378	138	15	specificity	specificity	NOUN
bracis-28378	138	16	,	,	PUNCT
bracis-28378	138	17	and	and	CCONJ
bracis-28378	138	18	mean(se	mean(se	NOUN
bracis-28378	138	19	,	,	PUNCT
bracis-28378	138	20	sp	sp	NOUN
bracis-28378	138	21	)	)	PUNCT
bracis-28378	138	22	,	,	PUNCT
bracis-28378	138	23	indicating	indicate	VERB
bracis-28378	138	24	that	that	SCONJ
bracis-28378	138	25	such	such	DET
bracis-28378	138	26	a	a	DET
bracis-28378	138	27	technique	technique	NOUN
bracis-28378	138	28	can	can	AUX
bracis-28378	138	29	contribute	contribute	VERB
bracis-28378	138	30	in	in	ADP
bracis-28378	138	31	the	the	DET
bracis-28378	138	32	detection	detection	NOUN
bracis-28378	138	33	of	of	ADP
bracis-28378	138	34	covid-19	covid-19	PROPN
bracis-28378	138	35	from	from	ADP
bracis-28378	138	36	serum	serum	NOUN
bracis-28378	138	37	raman	raman	NOUN
bracis-28378	138	38	spectroscopy	spectroscopy	NOUN
bracis-28378	138	39	samples	sample	NOUN
bracis-28378	138	40	.	.	PUNCT
bracis-28378	139	1	in	in	ADP
bracis-28378	139	2	order	order	NOUN
bracis-28378	139	3	to	to	PART
bracis-28378	139	4	better	well	ADV
bracis-28378	139	5	understand	understand	VERB
bracis-28378	139	6	the	the	DET
bracis-28378	139	7	salient	salient	NOUN
bracis-28378	139	8	features	feature	NOUN
bracis-28378	139	9	that	that	PRON
bracis-28378	139	10	contributed	contribute	VERB
bracis-28378	139	11	to	to	ADP
bracis-28378	139	12	the	the	DET
bracis-28378	139	13	almost	almost	ADV
bracis-28378	139	14	97	97	NUM
bracis-28378	139	15	%	%	NOUN
bracis-28378	139	16	of	of	ADP
bracis-28378	139	17	accuracy	accuracy	NOUN
bracis-28378	139	18	,	,	PUNCT
bracis-28378	139	19	we	we	PRON
bracis-28378	139	20	next	next	ADV
bracis-28378	139	21	investigate	investigate	VERB
bracis-28378	139	22	the	the	DET
bracis-28378	139	23	explainability	explainability	NOUN
bracis-28378	139	24	of	of	ADP
bracis-28378	139	25	the	the	DET
bracis-28378	139	26	cnn	cnn	PROPN
bracis-28378	139	27	model	model	NOUN
bracis-28378	139	28	.	.	PUNCT
bracis-28378	140	1	fig	fig	NOUN
bracis-28378	140	2	.	.	PUNCT
bracis-28378	141	1	4	4	X
bracis-28378	141	2	.	.	X
bracis-28378	141	3	explainability	explainability	NOUN
bracis-28378	141	4	analysis	analysis	NOUN
bracis-28378	141	5	of	of	ADP
bracis-28378	141	6	the	the	DET
bracis-28378	141	7	cnn	cnn	PROPN
bracis-28378	141	8	model	model	NOUN
bracis-28378	141	9	considering	consider	VERB
bracis-28378	141	10	the	the	DET
bracis-28378	141	11	5	5	NUM
bracis-28378	141	12	-	-	ADJ
bracis-28378	141	13	fold	fold	ADJ
bracis-28378	141	14	cross	cross	NOUN
bracis-28378	141	15	-	-	NOUN
bracis-28378	141	16	validation	validation	NOUN
bracis-28378	141	17	for	for	ADP
bracis-28378	141	18	covid-19	covid-19	PROPN
bracis-28378	141	19	detection	detection	NOUN
bracis-28378	141	20	.	.	PUNCT
bracis-28378	142	1	full	full	ADJ
bracis-28378	142	2	size	size	NOUN
bracis-28378	142	3	image	image	NOUN
bracis-28378	142	4	4.2	4.2	NUM
bracis-28378	142	5	explainability	explainability	NOUN
bracis-28378	142	6	analysis	analysis	NOUN
bracis-28378	142	7	the	the	DET
bracis-28378	142	8	shap	shap	PROPN
bracis-28378	142	9	method	method	NOUN
bracis-28378	142	10	is	be	AUX
bracis-28378	142	11	an	an	DET
bracis-28378	142	12	approach	approach	NOUN
bracis-28378	142	13	to	to	PART
bracis-28378	142	14	explain	explain	VERB
bracis-28378	142	15	the	the	DET
bracis-28378	142	16	output	output	NOUN
bracis-28378	142	17	of	of	ADP
bracis-28378	142	18	machine	machine	NOUN
bracis-28378	142	19	learning	learning	NOUN
bracis-28378	142	20	models	model	NOUN
bracis-28378	142	21	.	.	PUNCT
bracis-28378	143	1	it	it	PRON
bracis-28378	143	2	connects	connect	VERB
bracis-28378	143	3	optimal	optimal	ADJ
bracis-28378	143	4	credit	credit	NOUN
bracis-28378	143	5	allocation	allocation	NOUN
bracis-28378	143	6	with	with	ADP
bracis-28378	143	7	local	local	ADJ
bracis-28378	143	8	explanations	explanation	NOUN
bracis-28378	143	9	using	use	VERB
bracis-28378	143	10	the	the	DET
bracis-28378	143	11	classic	classic	ADJ
bracis-28378	143	12	shapley	shapley	ADJ
bracis-28378	143	13	values	value	NOUN
bracis-28378	143	14	from	from	ADP
bracis-28378	143	15	game	game	NOUN
bracis-28378	143	16	theory	theory	NOUN
bracis-28378	143	17	and	and	CCONJ
bracis-28378	143	18	their	their	PRON
bracis-28378	143	19	related	related	ADJ
bracis-28378	143	20	extensions	extension	NOUN
bracis-28378	143	21	[	[	X
bracis-28378	143	22	12	12	NUM
bracis-28378	143	23	]	]	PUNCT
bracis-28378	143	24	.	.	PUNCT
bracis-28378	144	1	with	with	ADP
bracis-28378	144	2	that	that	PRON
bracis-28378	144	3	in	in	ADP
bracis-28378	144	4	mind	mind	NOUN
bracis-28378	144	5	,	,	PUNCT
bracis-28378	144	6	to	to	PART
bracis-28378	144	7	understand	understand	VERB
bracis-28378	144	8	a	a	DET
bracis-28378	144	9	bit	bit	NOUN
bracis-28378	144	10	more	more	ADJ
bracis-28378	144	11	about	about	ADP
bracis-28378	144	12	how	how	SCONJ
bracis-28378	144	13	the	the	DET
bracis-28378	144	14	cnn	cnn	PROPN
bracis-28378	144	15	model	model	NOUN
bracis-28378	144	16	created	create	VERB
bracis-28378	144	17	its	its	PRON
bracis-28378	144	18	inductive	inductive	ADJ
bracis-28378	144	19	mechanism	mechanism	NOUN
bracis-28378	144	20	for	for	ADP
bracis-28378	144	21	covid-19	covid-19	PROPN
bracis-28378	144	22	detection	detection	NOUN
bracis-28378	144	23	,	,	PUNCT
bracis-28378	144	24	some	some	DET
bracis-28378	144	25	shap	shap	NOUN
bracis-28378	144	26	analysis	analysis	NOUN
bracis-28378	144	27	were	be	AUX
bracis-28378	144	28	conducted	conduct	VERB
bracis-28378	144	29	in	in	ADP
bracis-28378	144	30	order	order	NOUN
bracis-28378	144	31	to	to	PART
bracis-28378	144	32	provide	provide	VERB
bracis-28378	144	33	insights	insight	NOUN
bracis-28378	144	34	regarding	regard	VERB
bracis-28378	144	35	the	the	DET
bracis-28378	144	36	cnn	cnn	PROPN
bracis-28378	144	37	most	most	ADV
bracis-28378	144	38	relevant	relevant	ADJ
bracis-28378	144	39	features	feature	NOUN
bracis-28378	144	40	.	.	PUNCT
bracis-28378	145	1	figure	figure	VERB
bracis-28378	145	2	 	 	SPACE
bracis-28378	145	3	4	4	NUM
bracis-28378	145	4	shows	show	VERB
bracis-28378	145	5	the	the	DET
bracis-28378	145	6	shap	shap	PROPN
bracis-28378	145	7	features	feature	NOUN
bracis-28378	145	8	of	of	ADP
bracis-28378	145	9	the	the	DET
bracis-28378	145	10	main	main	ADJ
bracis-28378	145	11	raman	raman	NOUN
bracis-28378	145	12	shift	shift	NOUN
bracis-28378	145	13	capable	capable	ADJ
bracis-28378	145	14	to	to	PART
bracis-28378	145	15	discriminate	discriminate	VERB
bracis-28378	145	16	both	both	DET
bracis-28378	145	17	groups	group	NOUN
bracis-28378	145	18	of	of	ADP
bracis-28378	145	19	samples	sample	NOUN
bracis-28378	145	20	.	.	PUNCT
bracis-28378	146	1	the	the	DET
bracis-28378	146	2	main	main	ADJ
bracis-28378	146	3	raman	raman	NOUN
bracis-28378	146	4	shifts	shift	NOUN
bracis-28378	146	5	between	between	ADP
bracis-28378	146	6	1605–1607	1605–1607	NOUN
bracis-28378	146	7	 	 	SPACE
bracis-28378	146	8	cm\(^{-1}\	cm\(^{-1}\	PROPN
bracis-28378	146	9	)	)	PUNCT
bracis-28378	146	10	can	can	AUX
bracis-28378	146	11	be	be	AUX
bracis-28378	146	12	attributed	attribute	VERB
bracis-28378	146	13	to	to	ADP
bracis-28378	146	14	nucleoproteins	nucleoprotein	NOUN
bracis-28378	146	15	.	.	PUNCT
bracis-28378	147	1	the	the	DET
bracis-28378	147	2	raman	raman	ADJ
bracis-28378	147	3	shifts	shift	NOUN
bracis-28378	147	4	between	between	ADP
bracis-28378	147	5	1448–1450	1448–1450	NUM
bracis-28378	147	6	 	 	SPACE
bracis-28378	147	7	cm\(^{-1}\	cm\(^{-1}\	PROPN
bracis-28378	147	8	)	)	PUNCT
bracis-28378	147	9	and	and	CCONJ
bracis-28378	147	10	1271–1273	1271–1273	NUM
bracis-28378	147	11	 	 	SPACE
bracis-28378	147	12	cm\(^{-1}\	cm\(^{-1}\	PROPN
bracis-28378	147	13	)	)	PUNCT
bracis-28378	147	14	can	can	AUX
bracis-28378	147	15	be	be	AUX
bracis-28378	147	16	attributed	attribute	VERB
bracis-28378	147	17	to	to	ADP
bracis-28378	147	18	(	(	PUNCT
bracis-28378	147	19	ch2	ch2	PROPN
bracis-28378	147	20	/	/	SYM
bracis-28378	147	21	ch3	ch3	PROPN
bracis-28378	147	22	)	)	PUNCT
bracis-28378	147	23	from	from	ADP
bracis-28378	147	24	lipids	lipid	NOUN
bracis-28378	147	25	and	and	CCONJ
bracis-28378	147	26	the	the	DET
bracis-28378	147	27	proline	proline	NOUN
bracis-28378	147	28	from	from	ADP
bracis-28378	147	29	collagen	collagen	NOUN
bracis-28378	147	30	,	,	PUNCT
bracis-28378	147	31	respectively	respectively	ADV
bracis-28378	147	32	.	.	PUNCT
bracis-28378	148	1	besides	besides	SCONJ
bracis-28378	148	2	,	,	PUNCT
bracis-28378	148	3	the	the	DET
bracis-28378	148	4	raman	raman	NOUN
bracis-28378	148	5	shift	shift	NOUN
bracis-28378	148	6	at	at	ADP
bracis-28378	148	7	831	831	NUM
bracis-28378	148	8	 	 	SPACE
bracis-28378	148	9	cm\(^{-1}\	cm\(^{-1}\	PROPN
bracis-28378	148	10	)	)	PUNCT
bracis-28378	148	11	can	can	AUX
bracis-28378	148	12	be	be	AUX
bracis-28378	148	13	attributed	attribute	VERB
bracis-28378	148	14	to	to	ADP
bracis-28378	148	15	the	the	DET
bracis-28378	148	16	amino	amino	NOUN
bracis-28378	148	17	acid	acid	NOUN
bracis-28378	148	18	tyrosine	tyrosine	NOUN
bracis-28378	148	19	.	.	PUNCT
bracis-28378	149	1	furthermore	furthermore	ADV
bracis-28378	149	2	,	,	PUNCT
bracis-28378	149	3	the	the	DET
bracis-28378	149	4	raman	raman	ADJ
bracis-28378	149	5	shifts	shift	NOUN
bracis-28378	149	6	between	between	ADP
bracis-28378	149	7	427–432	427–432	NUM
bracis-28378	149	8	 	 	SPACE
bracis-28378	149	9	cm\(^{-1}\	cm\(^{-1}\	PROPN
bracis-28378	149	10	)	)	PUNCT
bracis-28378	149	11	and	and	CCONJ
bracis-28378	149	12	402	402	NUM
bracis-28378	149	13	-	-	SYM
bracis-28378	149	14	410	410	NUM
bracis-28378	149	15	 	 	SPACE
bracis-28378	149	16	cm\(^{-1}\	cm\(^{-1}\	PROPN
bracis-28378	149	17	)	)	PUNCT
bracis-28378	149	18	were	be	AUX
bracis-28378	149	19	attributed	attribute	VERB
bracis-28378	149	20	to	to	PART
bracis-28378	149	21	phosphate	phosphate	VERB
bracis-28378	149	22	and	and	CCONJ
bracis-28378	149	23	the	the	DET
bracis-28378	149	24	heme	heme	ADJ
bracis-28378	149	25	deformation	deformation	NOUN
bracis-28378	149	26	of	of	ADP
bracis-28378	149	27	proteins	protein	NOUN
bracis-28378	149	28	.	.	PUNCT
bracis-28378	150	1	lastly	lastly	ADV
bracis-28378	150	2	,	,	PUNCT
bracis-28378	150	3	the	the	DET
bracis-28378	150	4	raman	raman	NOUN
bracis-28378	150	5	shift	shift	NOUN
bracis-28378	150	6	at	at	ADP
bracis-28378	150	7	1657	1657	NUM
bracis-28378	150	8	 	 	SPACE
bracis-28378	150	9	cm\(^{-1}\	cm\(^{-1}\	PROPN
bracis-28378	150	10	)	)	PUNCT
bracis-28378	150	11	can	can	AUX
bracis-28378	150	12	be	be	AUX
bracis-28378	150	13	attributed	attribute	VERB
bracis-28378	150	14	to	to	PART
bracis-28378	150	15	amide	amide	VERB
bracis-28378	150	16	i	i	PRON
bracis-28378	150	17	in	in	ADP
bracis-28378	150	18	proteins	protein	NOUN
bracis-28378	150	19	[	[	X
bracis-28378	150	20	19	19	NUM
bracis-28378	150	21	]	]	PUNCT
bracis-28378	150	22	.	.	PUNCT
bracis-28378	151	1	in	in	ADP
bracis-28378	151	2	general	general	ADJ
bracis-28378	151	3	,	,	PUNCT
bracis-28378	151	4	the	the	DET
bracis-28378	151	5	main	main	ADJ
bracis-28378	151	6	raman	raman	NOUN
bracis-28378	151	7	shifts	shift	NOUN
bracis-28378	151	8	used	use	VERB
bracis-28378	151	9	to	to	PART
bracis-28378	151	10	discriminate	discriminate	VERB
bracis-28378	151	11	control	control	NOUN
bracis-28378	151	12	from	from	ADP
bracis-28378	151	13	covid-19	covid-19	PROPN
bracis-28378	151	14	samples	sample	NOUN
bracis-28378	151	15	were	be	AUX
bracis-28378	151	16	related	relate	VERB
bracis-28378	151	17	to	to	ADP
bracis-28378	151	18	proteins	protein	NOUN
bracis-28378	151	19	,	,	PUNCT
bracis-28378	151	20	indicating	indicate	VERB
bracis-28378	151	21	changes	change	NOUN
bracis-28378	151	22	in	in	ADP
bracis-28378	151	23	the	the	DET
bracis-28378	151	24	proteomic	proteomic	ADJ
bracis-28378	151	25	profile	profile	NOUN
bracis-28378	151	26	in	in	ADP
bracis-28378	151	27	the	the	DET
bracis-28378	151	28	serum	serum	NOUN
bracis-28378	151	29	of	of	ADP
bracis-28378	151	30	covid-19	covid-19	PROPN
bracis-28378	151	31	-	-	PUNCT
bracis-28378	151	32	infected	infect	VERB
bracis-28378	151	33	subjects	subject	NOUN
bracis-28378	151	34	.	.	PUNCT
bracis-28378	152	1	5	5	NUM
bracis-28378	152	2	conclusions	conclusion	NOUN
bracis-28378	152	3	this	this	DET
bracis-28378	152	4	paper	paper	NOUN
bracis-28378	152	5	investigated	investigate	VERB
bracis-28378	152	6	deep	deep	ADJ
bracis-28378	152	7	learning	learning	NOUN
bracis-28378	152	8	solutions	solution	NOUN
bracis-28378	152	9	based	base	VERB
bracis-28378	152	10	on	on	ADP
bracis-28378	152	11	cnns	cnn	NOUN
bracis-28378	152	12	for	for	ADP
bracis-28378	152	13	the	the	DET
bracis-28378	152	14	detection	detection	NOUN
bracis-28378	152	15	of	of	ADP
bracis-28378	152	16	covid-19	covid-19	PROPN
bracis-28378	152	17	using	use	VERB
bracis-28378	152	18	raman	raman	NOUN
bracis-28378	152	19	spectra	spectra	NOUN
bracis-28378	152	20	of	of	ADP
bracis-28378	152	21	serum	serum	NOUN
bracis-28378	152	22	samples	sample	NOUN
bracis-28378	152	23	in	in	ADP
bracis-28378	152	24	order	order	NOUN
bracis-28378	152	25	to	to	PART
bracis-28378	152	26	obtain	obtain	VERB
bracis-28378	152	27	more	more	ADV
bracis-28378	152	28	accurate	accurate	ADJ
bracis-28378	152	29	models	model	NOUN
bracis-28378	152	30	.	.	PUNCT
bracis-28378	153	1	to	to	PART
bracis-28378	153	2	be	be	AUX
bracis-28378	153	3	specific	specific	ADJ
bracis-28378	153	4	,	,	PUNCT
bracis-28378	153	5	an	an	DET
bracis-28378	153	6	1d	1d	NUM
bracis-28378	153	7	cnn	cnn	NOUN
bracis-28378	153	8	was	be	AUX
bracis-28378	153	9	proposed	propose	VERB
bracis-28378	153	10	and	and	CCONJ
bracis-28378	153	11	comparatively	comparatively	ADV
bracis-28378	153	12	evaluated	evaluate	VERB
bracis-28378	153	13	against	against	ADP
bracis-28378	153	14	several	several	ADJ
bracis-28378	153	15	traditional	traditional	ADJ
bracis-28378	153	16	and	and	CCONJ
bracis-28378	153	17	deep	deep	ADJ
bracis-28378	153	18	learning	learning	NOUN
bracis-28378	153	19	techniques	technique	NOUN
bracis-28378	153	20	.	.	PUNCT
bracis-28378	154	1	experimental	experimental	ADJ
bracis-28378	154	2	results	result	NOUN
bracis-28378	154	3	showed	show	VERB
bracis-28378	154	4	that	that	SCONJ
bracis-28378	154	5	the	the	DET
bracis-28378	154	6	cnn	cnn	PROPN
bracis-28378	154	7	model	model	NOUN
bracis-28378	154	8	achieved	achieve	VERB
bracis-28378	154	9	the	the	DET
bracis-28378	154	10	highest	high	ADJ
bracis-28378	154	11	predictive	predictive	ADJ
bracis-28378	154	12	performance	performance	NOUN
bracis-28378	154	13	in	in	ADP
bracis-28378	154	14	comparison	comparison	NOUN
bracis-28378	154	15	with	with	ADP
bracis-28378	154	16	other	other	ADJ
bracis-28378	154	17	techniques	technique	NOUN
bracis-28378	154	18	,	,	PUNCT
bracis-28378	154	19	with	with	ADP
bracis-28378	154	20	96.8	96.8	NUM
bracis-28378	154	21	%	%	NOUN
bracis-28378	154	22	accuracy	accuracy	NOUN
bracis-28378	154	23	,	,	PUNCT
bracis-28378	154	24	95.5	95.5	NUM
bracis-28378	154	25	%	%	NOUN
bracis-28378	154	26	sensitivity	sensitivity	NOUN
bracis-28378	154	27	,	,	PUNCT
bracis-28378	154	28	and	and	CCONJ
bracis-28378	154	29	98.2	98.2	NUM
bracis-28378	154	30	%	%	NOUN
bracis-28378	154	31	of	of	ADP
bracis-28378	154	32	specificity	specificity	NOUN
bracis-28378	154	33	,	,	PUNCT
bracis-28378	154	34	outperforming	outperform	VERB
bracis-28378	154	35	even	even	ADV
bracis-28378	154	36	other	other	ADJ
bracis-28378	154	37	robust	robust	ADJ
bracis-28378	154	38	deep	deep	ADJ
bracis-28378	154	39	learning	learning	NOUN
bracis-28378	154	40	solutions	solution	NOUN
bracis-28378	154	41	like	like	ADP
bracis-28378	154	42	resnet	resnet	NOUN
bracis-28378	154	43	.	.	PUNCT
bracis-28378	155	1	in	in	ADP
bracis-28378	155	2	addition	addition	NOUN
bracis-28378	155	3	,	,	PUNCT
bracis-28378	155	4	explainability	explainability	NOUN
bracis-28378	155	5	analysis	analysis	NOUN
bracis-28378	155	6	regarding	regard	VERB
bracis-28378	155	7	salient	salient	NOUN
bracis-28378	155	8	raman	raman	ADJ
bracis-28378	155	9	shifts	shift	NOUN
bracis-28378	155	10	to	to	PART
bracis-28378	155	11	detect	detect	VERB
bracis-28378	155	12	covid-19	covid-19	PROPN
bracis-28378	155	13	and	and	CCONJ
bracis-28378	155	14	healthy	healthy	ADJ
bracis-28378	155	15	groups	group	NOUN
bracis-28378	155	16	were	be	AUX
bracis-28378	155	17	also	also	ADV
bracis-28378	155	18	conducted	conduct	VERB
bracis-28378	155	19	,	,	PUNCT
bracis-28378	155	20	revealing	reveal	VERB
bracis-28378	155	21	some	some	DET
bracis-28378	155	22	proteins	protein	NOUN
bracis-28378	155	23	which	which	PRON
bracis-28378	155	24	probably	probably	ADV
bracis-28378	155	25	are	be	AUX
bracis-28378	155	26	associated	associate	VERB
bracis-28378	155	27	with	with	ADP
bracis-28378	155	28	the	the	DET
bracis-28378	155	29	spectral	spectral	ADJ
bracis-28378	155	30	differences	difference	NOUN
bracis-28378	155	31	between	between	ADP
bracis-28378	155	32	the	the	DET
bracis-28378	155	33	groups	group	NOUN
bracis-28378	155	34	.	.	PUNCT
bracis-28378	156	1	the	the	DET
bracis-28378	156	2	investigation	investigation	NOUN
bracis-28378	156	3	conducted	conduct	VERB
bracis-28378	156	4	here	here	ADV
bracis-28378	156	5	contributes	contribute	VERB
bracis-28378	156	6	to	to	ADP
bracis-28378	156	7	the	the	DET
bracis-28378	156	8	raman	raman	NOUN
bracis-28378	156	9	spectroscopy	spectroscopy	NOUN
bracis-28378	156	10	field	field	NOUN
bracis-28378	156	11	and	and	CCONJ
bracis-28378	156	12	may	may	AUX
bracis-28378	156	13	also	also	ADV
bracis-28378	156	14	impact	impact	VERB
bracis-28378	156	15	the	the	DET
bracis-28378	156	16	society	society	NOUN
bracis-28378	156	17	in	in	ADP
bracis-28378	156	18	the	the	DET
bracis-28378	156	19	future	future	NOUN
bracis-28378	156	20	by	by	ADP
bracis-28378	156	21	providing	provide	VERB
bracis-28378	156	22	regular	regular	ADJ
bracis-28378	156	23	,	,	PUNCT
bracis-28378	156	24	and	and	CCONJ
bracis-28378	156	25	financially	financially	ADV
bracis-28378	156	26	accessible	accessible	ADJ
bracis-28378	156	27	diagnosis	diagnosis	NOUN
bracis-28378	156	28	for	for	ADP
bracis-28378	156	29	the	the	DET
bracis-28378	156	30	population	population	NOUN
bracis-28378	156	31	.	.	PUNCT
bracis-28378	157	1	the	the	DET
bracis-28378	157	2	fast	fast	ADJ
bracis-28378	157	3	and	and	CCONJ
bracis-28378	157	4	accurate	accurate	ADJ
bracis-28378	157	5	results	result	NOUN
bracis-28378	157	6	achieved	achieve	VERB
bracis-28378	157	7	by	by	ADP
bracis-28378	157	8	the	the	DET
bracis-28378	157	9	cnn	cnn	PROPN
bracis-28378	157	10	method	method	NOUN
bracis-28378	157	11	proposed	propose	VERB
bracis-28378	157	12	can	can	AUX
bracis-28378	157	13	make	make	VERB
bracis-28378	157	14	the	the	DET
bracis-28378	157	15	system	system	NOUN
bracis-28378	157	16	suitable	suitable	ADJ
bracis-28378	157	17	for	for	ADP
bracis-28378	157	18	use	use	NOUN
bracis-28378	157	19	in	in	ADP
bracis-28378	157	20	screening	screening	NOUN
bracis-28378	157	21	and	and	CCONJ
bracis-28378	157	22	routine	routine	ADJ
bracis-28378	157	23	examinations	examination	NOUN
bracis-28378	157	24	,	,	PUNCT
bracis-28378	157	25	for	for	ADP
bracis-28378	157	26	example	example	NOUN
bracis-28378	157	27	,	,	PUNCT
bracis-28378	157	28	contributing	contribute	VERB
bracis-28378	157	29	to	to	ADP
bracis-28378	157	30	the	the	DET
bracis-28378	157	31	promotion	promotion	NOUN
bracis-28378	157	32	and	and	CCONJ
bracis-28378	157	33	regular	regular	ADJ
bracis-28378	157	34	testing	testing	NOUN
bracis-28378	157	35	of	of	ADP
bracis-28378	157	36	the	the	DET
bracis-28378	157	37	population	population	NOUN
bracis-28378	157	38	.	.	PUNCT
bracis-28378	158	1	forthcoming	forthcoming	ADJ
bracis-28378	158	2	works	work	NOUN
bracis-28378	158	3	will	will	AUX
bracis-28378	158	4	focuses	focus	VERB
bracis-28378	158	5	on	on	ADP
bracis-28378	158	6	the	the	DET
bracis-28378	158	7	development	development	NOUN
bracis-28378	158	8	of	of	ADP
bracis-28378	158	9	even	even	ADV
bracis-28378	158	10	better	well	ADJ
bracis-28378	158	11	deep	deep	ADJ
bracis-28378	158	12	learning	learning	NOUN
bracis-28378	158	13	architectures	architecture	NOUN
bracis-28378	158	14	as	as	ADV
bracis-28378	158	15	well	well	ADV
bracis-28378	158	16	as	as	ADP
bracis-28378	158	17	in	in	ADP
bracis-28378	158	18	addressing	address	VERB
bracis-28378	158	19	other	other	ADJ
bracis-28378	158	20	applications	application	NOUN
bracis-28378	158	21	based	base	VERB
bracis-28378	158	22	on	on	ADP
bracis-28378	158	23	spectroscopy	spectroscopy	NOUN
bracis-28378	158	24	technologies	technology	NOUN
bracis-28378	158	25	.	.	PUNCT
bracis-28378	159	1	references	reference	NOUN
bracis-28378	159	2	baker	baker	PROPN
bracis-28378	159	3	,	,	PUNCT
bracis-28378	159	4	m.j	m.j	PROPN
bracis-28378	159	5	.	.	PROPN
bracis-28378	159	6	,	,	PUNCT
bracis-28378	159	7	et	et	PROPN
bracis-28378	159	8	al	al	PROPN
bracis-28378	159	9	.	.	PROPN
bracis-28378	159	10	:	:	PUNCT
bracis-28378	160	1	using	use	VERB
bracis-28378	160	2	fourier	fourier	NOUN
bracis-28378	160	3	transform	transform	NOUN
bracis-28378	160	4	ir	ir	NOUN
bracis-28378	160	5	spectroscopy	spectroscopy	NOUN
bracis-28378	160	6	to	to	PART
bracis-28378	160	7	analyze	analyze	VERB
bracis-28378	160	8	biological	biological	ADJ
bracis-28378	160	9	materials	material	NOUN
bracis-28378	160	10	.	.	PUNCT
bracis-28378	161	1	nat	nat	PROPN
bracis-28378	161	2	.	.	PUNCT
bracis-28378	162	1	protoc	protoc	VERB
bracis-28378	162	2	.	.	PUNCT
bracis-28378	163	1	9(8	9(8	NUM
bracis-28378	163	2	)	)	PUNCT
bracis-28378	163	3	,	,	PUNCT
bracis-28378	163	4	1771–1791	1771–1791	NUM
bracis-28378	163	5	(	(	PUNCT
bracis-28378	163	6	2014	2014	NUM
bracis-28378	163	7	)	)	PUNCT
bracis-28378	163	8	article	article	NOUN
bracis-28378	163	9	  	  	SPACE
bracis-28378	163	10	google	google	PROPN
bracis-28378	163	11	scholar	scholar	NOUN
bracis-28378	163	12	  	  	SPACE
bracis-28378	163	13	barauna	barauna	PROPN
bracis-28378	163	14	,	,	PUNCT
bracis-28378	163	15	v.g	v.g	PROPN
bracis-28378	163	16	.	.	PROPN
bracis-28378	163	17	,	,	PUNCT
bracis-28378	163	18	et	et	PROPN
bracis-28378	163	19	al	al	PROPN
bracis-28378	163	20	.	.	PUNCT
bracis-28378	163	21	:	:	PUNCT
bracis-28378	164	1	ultrarapid	ultrarapid	NOUN
bracis-28378	164	2	on	on	ADP
bracis-28378	164	3	-	-	PUNCT
bracis-28378	164	4	site	site	NOUN
bracis-28378	164	5	detection	detection	NOUN
bracis-28378	164	6	of	of	ADP
bracis-28378	164	7	sars	sar	NOUN
bracis-28378	164	8	-	-	PUNCT
bracis-28378	164	9	cov-2	cov-2	PART
bracis-28378	164	10	infection	infection	NOUN
bracis-28378	164	11	using	use	VERB
bracis-28378	164	12	simple	simple	ADJ
bracis-28378	164	13	atr	atr	ADJ
bracis-28378	164	14	-	-	PUNCT
bracis-28378	164	15	ftir	ftir	ADJ
bracis-28378	164	16	spectroscopy	spectroscopy	NOUN
bracis-28378	164	17	and	and	CCONJ
bracis-28378	164	18	an	an	DET
bracis-28378	164	19	analysis	analysis	NOUN
bracis-28378	164	20	algorithm	algorithm	NOUN
bracis-28378	164	21	:	:	PUNCT
bracis-28378	164	22	high	high	ADJ
bracis-28378	164	23	sensitivity	sensitivity	NOUN
bracis-28378	164	24	and	and	CCONJ
bracis-28378	164	25	specificity	specificity	NOUN
bracis-28378	164	26	.	.	PUNCT
bracis-28378	165	1	anal	anal	ADJ
bracis-28378	165	2	.	.	PUNCT
bracis-28378	165	3	chem	chem	PROPN
bracis-28378	165	4	.	.	PUNCT
bracis-28378	166	1	93(5	93(5	NOUN
bracis-28378	166	2	)	)	PUNCT
bracis-28378	166	3	,	,	PUNCT
bracis-28378	166	4	2950–2958	2950–2958	NUM
bracis-28378	166	5	(	(	PUNCT
bracis-28378	166	6	2021	2021	NUM
bracis-28378	166	7	)	)	PUNCT
bracis-28378	166	8	article	article	NOUN
bracis-28378	166	9	  	  	SPACE
bracis-28378	166	10	google	google	PROPN
bracis-28378	166	11	scholar	scholar	NOUN
bracis-28378	166	12	  	  	SPACE
bracis-28378	166	13	van	van	PROPN
bracis-28378	166	14	den	den	PROPN
bracis-28378	166	15	broeck	broeck	NOUN
bracis-28378	166	16	,	,	PUNCT
bracis-28378	166	17	g.	g.	PROPN
bracis-28378	166	18	,	,	PUNCT
bracis-28378	166	19	lykov	lykov	PROPN
bracis-28378	166	20	,	,	PUNCT
bracis-28378	166	21	a.	a.	PROPN
bracis-28378	166	22	,	,	PUNCT
bracis-28378	166	23	schleich	schleich	NOUN
bracis-28378	166	24	,	,	PUNCT
bracis-28378	166	25	m.	m.	NOUN
bracis-28378	166	26	,	,	PUNCT
bracis-28378	166	27	suciu	suciu	PROPN
bracis-28378	166	28	,	,	PUNCT
bracis-28378	166	29	d.	d.	PROPN
bracis-28378	166	30	:	:	PUNCT
bracis-28378	166	31	on	on	ADP
bracis-28378	166	32	the	the	DET
bracis-28378	166	33	tractability	tractability	NOUN
bracis-28378	166	34	of	of	ADP
bracis-28378	166	35	shap	shap	NOUN
bracis-28378	166	36	explanations	explanation	NOUN
bracis-28378	166	37	.	.	PUNCT
bracis-28378	167	1	j.	j.	PROPN
bracis-28378	167	2	artif	artif	PROPN
bracis-28378	167	3	.	.	PUNCT
bracis-28378	168	1	intell	intell	PROPN
bracis-28378	168	2	.	.	PUNCT
bracis-28378	169	1	res	re	NOUN
bracis-28378	169	2	.	.	PROPN
bracis-28378	170	1	74	74	NUM
bracis-28378	170	2	,	,	PUNCT
bracis-28378	170	3	851–886	851–886	NUM
bracis-28378	170	4	(	(	PUNCT
bracis-28378	170	5	2022	2022	NUM
bracis-28378	170	6	)	)	PUNCT
bracis-28378	170	7	article	article	NOUN
bracis-28378	170	8	  	  	SPACE
bracis-28378	170	9	mathscinet	mathscinet	NOUN
bracis-28378	170	10	  	  	SPACE
bracis-28378	170	11	math	math	NOUN
bracis-28378	170	12	  	  	SPACE
bracis-28378	170	13	google	google	PROPN
bracis-28378	170	14	scholar	scholar	NOUN
bracis-28378	170	15	  	  	SPACE
bracis-28378	170	16	caixeta	caixeta	PROPN
bracis-28378	170	17	,	,	PUNCT
bracis-28378	170	18	d.c	d.c	PROPN
bracis-28378	170	19	.	.	PROPN
bracis-28378	170	20	,	,	PUNCT
bracis-28378	170	21	et	et	PROPN
bracis-28378	170	22	al	al	PROPN
bracis-28378	170	23	.	.	PROPN
bracis-28378	170	24	:	:	PUNCT
bracis-28378	171	1	salivary	salivary	VERB
bracis-28378	171	2	atr	atr	PROPN
bracis-28378	171	3	-	-	PUNCT
bracis-28378	171	4	ftir	ftir	ADJ
bracis-28378	171	5	spectroscopy	spectroscopy	NOUN
bracis-28378	171	6	coupled	couple	VERB
bracis-28378	171	7	with	with	ADP
bracis-28378	171	8	support	support	NOUN
bracis-28378	171	9	vector	vector	NOUN
bracis-28378	171	10	machine	machine	NOUN
bracis-28378	171	11	classification	classification	NOUN
bracis-28378	171	12	for	for	ADP
bracis-28378	171	13	screening	screening	NOUN
bracis-28378	171	14	of	of	ADP
bracis-28378	171	15	type	type	NOUN
bracis-28378	171	16	2	2	NUM
bracis-28378	171	17	diabetes	diabetes	NOUN
bracis-28378	171	18	mellitus	mellitus	NOUN
bracis-28378	171	19	.	.	PUNCT
bracis-28378	172	1	diagnostics	diagnostic	NOUN
bracis-28378	172	2	13(8	13(8	NUM
bracis-28378	172	3	)	)	PUNCT
bracis-28378	172	4	,	,	PUNCT
bracis-28378	172	5	1396	1396	NUM
bracis-28378	172	6	(	(	PUNCT
bracis-28378	172	7	2023	2023	NUM
bracis-28378	172	8	)	)	PUNCT
bracis-28378	172	9	article	article	NOUN
bracis-28378	172	10	  	  	SPACE
bracis-28378	172	11	google	google	PROPN
bracis-28378	172	12	scholar	scholar	NOUN
bracis-28378	172	13	  	  	SPACE
bracis-28378	172	14	carlomagno	carlomagno	NOUN
bracis-28378	172	15	,	,	PUNCT
bracis-28378	172	16	c.	c.	PROPN
bracis-28378	172	17	,	,	PUNCT
bracis-28378	172	18	et	et	PROPN
bracis-28378	172	19	al	al	PROPN
bracis-28378	172	20	.	.	PUNCT
bracis-28378	172	21	:	:	PUNCT
bracis-28378	173	1	covid-19	covid-19	PROPN
bracis-28378	173	2	salivary	salivary	ADJ
bracis-28378	173	3	raman	raman	NOUN
bracis-28378	173	4	fingerprint	fingerprint	NOUN
bracis-28378	173	5	:	:	PUNCT
bracis-28378	173	6	innovative	innovative	ADJ
bracis-28378	173	7	approach	approach	NOUN
bracis-28378	173	8	for	for	ADP
bracis-28378	173	9	the	the	DET
bracis-28378	173	10	detection	detection	NOUN
bracis-28378	173	11	of	of	ADP
bracis-28378	173	12	current	current	ADJ
bracis-28378	173	13	and	and	CCONJ
bracis-28378	173	14	past	past	ADJ
bracis-28378	173	15	sars	sar	NOUN
bracis-28378	173	16	-	-	PUNCT
bracis-28378	173	17	cov-2	cov-2	NOUN
bracis-28378	173	18	infections	infection	NOUN
bracis-28378	173	19	.	.	PUNCT
bracis-28378	174	1	sci	sci	PROPN
bracis-28378	174	2	.	.	PROPN
bracis-28378	174	3	rep	rep	PROPN
bracis-28378	174	4	.	.	PROPN
bracis-28378	174	5	11(1	11(1	NUM
bracis-28378	174	6	)	)	PUNCT
bracis-28378	174	7	,	,	PUNCT
bracis-28378	174	8	4943	4943	NUM
bracis-28378	174	9	(	(	PUNCT
bracis-28378	174	10	2021	2021	NUM
bracis-28378	174	11	)	)	PUNCT
bracis-28378	174	12	article	article	NOUN
bracis-28378	174	13	  	  	SPACE
bracis-28378	174	14	mathscinet	mathscinet	NOUN
bracis-28378	174	15	  	  	SPACE
bracis-28378	174	16	google	google	PROPN
bracis-28378	174	17	scholar	scholar	NOUN
bracis-28378	174	18	  	  	SPACE
bracis-28378	174	19	desai	desai	PROPN
bracis-28378	174	20	,	,	PUNCT
bracis-28378	174	21	s.	s.	PROPN
bracis-28378	174	22	,	,	PUNCT
bracis-28378	174	23	et	et	PROPN
bracis-28378	174	24	al	al	PROPN
bracis-28378	174	25	.	.	PROPN
bracis-28378	174	26	:	:	PUNCT
bracis-28378	174	27	raman	raman	NOUN
bracis-28378	174	28	spectroscopy	spectroscopy	NOUN
bracis-28378	174	29	-	-	PUNCT
bracis-28378	174	30	based	base	VERB
bracis-28378	174	31	detection	detection	NOUN
bracis-28378	174	32	of	of	ADP
bracis-28378	174	33	rna	rna	NOUN
bracis-28378	174	34	viruses	virus	NOUN
bracis-28378	174	35	in	in	ADP
bracis-28378	174	36	saliva	saliva	NOUN
bracis-28378	174	37	:	:	PUNCT
bracis-28378	174	38	a	a	DET
bracis-28378	174	39	preliminary	preliminary	ADJ
bracis-28378	174	40	report	report	NOUN
bracis-28378	174	41	.	.	PUNCT
bracis-28378	175	1	j.	j.	PROPN
bracis-28378	175	2	biophotonics	biophotonics	PROPN
bracis-28378	175	3	13(10	13(10	NUM
bracis-28378	175	4	)	)	PUNCT
bracis-28378	175	5	,	,	PUNCT
bracis-28378	175	6	e202000189	e202000189	PROPN
bracis-28378	175	7	(	(	PUNCT
bracis-28378	175	8	2020	2020	NUM
bracis-28378	175	9	)	)	PUNCT
bracis-28378	175	10	article	article	NOUN
bracis-28378	175	11	  	  	SPACE
bracis-28378	175	12	google	google	PROPN
bracis-28378	175	13	scholar	scholar	NOUN
bracis-28378	175	14	  	  	SPACE
bracis-28378	175	15	géron	géron	NOUN
bracis-28378	175	16	,	,	PUNCT
bracis-28378	175	17	a.	a.	NOUN
bracis-28378	175	18	:	:	PUNCT
bracis-28378	175	19	hands	hand	NOUN
bracis-28378	175	20	-	-	PUNCT
bracis-28378	175	21	on	on	ADP
bracis-28378	175	22	machine	machine	NOUN
bracis-28378	175	23	learning	learn	VERB
bracis-28378	175	24	with	with	ADP
bracis-28378	175	25	scikit	scikit	NOUN
bracis-28378	175	26	-	-	PUNCT
bracis-28378	175	27	learn	learn	PROPN
bracis-28378	175	28	,	,	PUNCT
bracis-28378	175	29	keras	keras	PROPN
bracis-28378	175	30	,	,	PUNCT
bracis-28378	175	31	and	and	CCONJ
bracis-28378	175	32	tensorflow	tensorflow	NOUN
bracis-28378	175	33	.	.	PUNCT
bracis-28378	176	1	“	"	PUNCT
bracis-28378	176	2	o’reilly	o’reilly	ADV
bracis-28378	176	3	media	medium	NOUN
bracis-28378	176	4	,	,	PUNCT
bracis-28378	176	5	inc	inc	PROPN
bracis-28378	176	6	”	"	PUNCT
bracis-28378	176	7	(	(	PUNCT
bracis-28378	176	8	2022	2022	NUM
bracis-28378	176	9	)	)	PUNCT
bracis-28378	176	10	google	google	NOUN
bracis-28378	176	11	scholar	scholar	NOUN
bracis-28378	176	12	  	  	SPACE
bracis-28378	176	13	giamougiannis	giamougiannis	NOUN
bracis-28378	176	14	,	,	PUNCT
bracis-28378	176	15	p.	p.	PROPN
bracis-28378	176	16	,	,	PUNCT
bracis-28378	176	17	et	et	PROPN
bracis-28378	176	18	al	al	PROPN
bracis-28378	176	19	.	.	PUNCT
bracis-28378	176	20	:	:	PUNCT
bracis-28378	177	1	a	a	DET
bracis-28378	177	2	comparative	comparative	ADJ
bracis-28378	177	3	analysis	analysis	NOUN
bracis-28378	177	4	of	of	ADP
bracis-28378	177	5	different	different	ADJ
bracis-28378	177	6	biofluids	biofluid	NOUN
bracis-28378	177	7	towards	towards	ADP
bracis-28378	177	8	ovarian	ovarian	ADJ
bracis-28378	177	9	cancer	cancer	NOUN
bracis-28378	177	10	diagnosis	diagnosis	NOUN
bracis-28378	177	11	using	use	VERB
bracis-28378	177	12	raman	raman	NOUN
bracis-28378	177	13	microspectroscopy	microspectroscopy	NOUN
bracis-28378	177	14	.	.	PUNCT
bracis-28378	178	1	anal	anal	ADJ
bracis-28378	178	2	.	.	PUNCT
bracis-28378	179	1	bioanal	bioanal	ADJ
bracis-28378	179	2	.	.	PUNCT
bracis-28378	179	3	chem	chem	NOUN
bracis-28378	179	4	.	.	PUNCT
bracis-28378	180	1	413	413	NUM
bracis-28378	180	2	,	,	PUNCT
bracis-28378	180	3	911–922	911–922	NUM
bracis-28378	180	4	(	(	PUNCT
bracis-28378	180	5	2021	2021	NUM
bracis-28378	180	6	)	)	PUNCT
bracis-28378	180	7	article	article	NOUN
bracis-28378	180	8	  	  	SPACE
bracis-28378	180	9	google	google	PROPN
bracis-28378	180	10	scholar	scholar	NOUN
bracis-28378	180	11	  	  	SPACE
bracis-28378	180	12	hanna	hanna	NOUN
bracis-28378	180	13	,	,	PUNCT
bracis-28378	180	14	k.	k.	PROPN
bracis-28378	180	15	,	,	PUNCT
bracis-28378	180	16	krzoska	krzoska	PROPN
bracis-28378	180	17	,	,	PUNCT
bracis-28378	180	18	e.	e.	PROPN
bracis-28378	180	19	,	,	PUNCT
bracis-28378	180	20	shaaban	shaaban	ADJ
bracis-28378	180	21	,	,	PUNCT
bracis-28378	180	22	a.m.	a.m.	ADV
bracis-28378	180	23	,	,	PUNCT
bracis-28378	180	24	muirhead	muirhead	NOUN
bracis-28378	180	25	,	,	PUNCT
bracis-28378	180	26	d.	d.	PROPN
bracis-28378	180	27	,	,	PUNCT
bracis-28378	180	28	abu	abu	PROPN
bracis-28378	180	29	-	-	PUNCT
bracis-28378	180	30	eid	eid	PROPN
bracis-28378	180	31	,	,	PUNCT
bracis-28378	180	32	r.	r.	PROPN
bracis-28378	180	33	,	,	PUNCT
bracis-28378	180	34	speirs	speir	NOUN
bracis-28378	180	35	,	,	PUNCT
bracis-28378	181	1	v.	v.	CCONJ
bracis-28378	181	2	:	:	PUNCT
bracis-28378	181	3	raman	raman	NOUN
bracis-28378	181	4	spectroscopy	spectroscopy	NOUN
bracis-28378	181	5	:	:	PUNCT
bracis-28378	181	6	current	current	ADJ
bracis-28378	181	7	applications	application	NOUN
bracis-28378	181	8	in	in	ADP
bracis-28378	181	9	breast	breast	NOUN
bracis-28378	181	10	cancer	cancer	NOUN
bracis-28378	181	11	diagnosis	diagnosis	NOUN
bracis-28378	181	12	,	,	PUNCT
bracis-28378	181	13	challenges	challenge	NOUN
bracis-28378	181	14	and	and	CCONJ
bracis-28378	181	15	future	future	ADJ
bracis-28378	181	16	prospects	prospect	NOUN
bracis-28378	181	17	.	.	PUNCT
bracis-28378	182	1	br	br	X
bracis-28378	182	2	.	.	PUNCT
bracis-28378	183	1	j.	j.	PROPN
bracis-28378	183	2	cancer	cancer	PROPN
bracis-28378	183	3	126(8	126(8	NUM
bracis-28378	183	4	)	)	PUNCT
bracis-28378	183	5	,	,	PUNCT
bracis-28378	183	6	1125–1139	1125–1139	NUM
bracis-28378	183	7	(	(	PUNCT
bracis-28378	183	8	2022	2022	NUM
bracis-28378	183	9	)	)	PUNCT
bracis-28378	183	10	article	article	NOUN
bracis-28378	183	11	  	  	SPACE
bracis-28378	183	12	google	google	PROPN
bracis-28378	183	13	scholar	scholar	NOUN
bracis-28378	183	14	  	  	SPACE
bracis-28378	183	15	ismail	ismail	NOUN
bracis-28378	183	16	fawaz	fawaz	NOUN
bracis-28378	183	17	,	,	PUNCT
bracis-28378	183	18	h.	h.	PROPN
bracis-28378	183	19	,	,	PUNCT
bracis-28378	183	20	forestier	forestier	PROPN
bracis-28378	183	21	,	,	PUNCT
bracis-28378	183	22	g.	g.	PROPN
bracis-28378	183	23	,	,	PUNCT
bracis-28378	183	24	weber	weber	PROPN
bracis-28378	183	25	,	,	PUNCT
bracis-28378	183	26	j.	j.	PROPN
bracis-28378	183	27	,	,	PUNCT
bracis-28378	183	28	idoumghar	idoumghar	PROPN
bracis-28378	183	29	,	,	PUNCT
bracis-28378	183	30	l.	l.	PROPN
bracis-28378	183	31	,	,	PUNCT
bracis-28378	183	32	muller	muller	PROPN
bracis-28378	183	33	,	,	PUNCT
bracis-28378	183	34	p.a	p.a	PROPN
bracis-28378	183	35	.	.	PROPN
bracis-28378	183	36	:	:	PUNCT
bracis-28378	184	1	deep	deep	ADJ
bracis-28378	184	2	learning	learning	NOUN
bracis-28378	184	3	for	for	ADP
bracis-28378	184	4	time	time	NOUN
bracis-28378	184	5	series	series	PROPN
bracis-28378	184	6	classification	classification	NOUN
bracis-28378	184	7	:	:	PUNCT
bracis-28378	184	8	a	a	DET
bracis-28378	184	9	review	review	NOUN
bracis-28378	184	10	.	.	PUNCT
bracis-28378	185	1	data	data	PROPN
bracis-28378	185	2	min	min	PROPN
bracis-28378	185	3	.	.	PROPN
bracis-28378	185	4	knowl	knowl	PROPN
bracis-28378	185	5	.	.	PUNCT
bracis-28378	186	1	disc	disc	NOUN
bracis-28378	186	2	.	.	PUNCT
bracis-28378	187	1	33(4	33(4	NUM
bracis-28378	187	2	)	)	PUNCT
bracis-28378	187	3	,	,	PUNCT
bracis-28378	188	1	917–963	917–963	NUM
bracis-28378	188	2	(	(	PUNCT
bracis-28378	188	3	2019	2019	NUM
bracis-28378	188	4	)	)	PUNCT
bracis-28378	188	5	article	article	NOUN
bracis-28378	188	6	  	  	SPACE
bracis-28378	188	7	mathscinet	mathscinet	NOUN
bracis-28378	188	8	  	  	SPACE
bracis-28378	188	9	math	math	NOUN
bracis-28378	188	10	  	  	SPACE
bracis-28378	188	11	google	google	PROPN
bracis-28378	188	12	scholar	scholar	NOUN
bracis-28378	188	13	  	  	SPACE
bracis-28378	188	14	li	li	PROPN
bracis-28378	188	15	,	,	PUNCT
bracis-28378	188	16	z.	z.	PROPN
bracis-28378	188	17	,	,	PUNCT
bracis-28378	188	18	et	et	PROPN
bracis-28378	188	19	al	al	PROPN
bracis-28378	188	20	.	.	PUNCT
bracis-28378	188	21	:	:	PUNCT
bracis-28378	189	1	detection	detection	NOUN
bracis-28378	189	2	of	of	ADP
bracis-28378	189	3	pancreatic	pancreatic	ADJ
bracis-28378	189	4	cancer	cancer	NOUN
bracis-28378	189	5	by	by	ADP
bracis-28378	189	6	convolutional	convolutional	ADJ
bracis-28378	189	7	-	-	PUNCT
bracis-28378	189	8	neural	neural	ADJ
bracis-28378	189	9	-	-	PUNCT
bracis-28378	189	10	network	network	NOUN
bracis-28378	189	11	-	-	PUNCT
bracis-28378	189	12	assisted	assist	VERB
bracis-28378	189	13	spontaneous	spontaneous	ADJ
bracis-28378	189	14	raman	raman	NOUN
bracis-28378	189	15	spectroscopy	spectroscopy	NOUN
bracis-28378	189	16	with	with	ADP
bracis-28378	189	17	critical	critical	ADJ
bracis-28378	189	18	feature	feature	NOUN
bracis-28378	189	19	visualization	visualization	NOUN
bracis-28378	189	20	.	.	PUNCT
bracis-28378	190	1	neural	neural	ADJ
bracis-28378	190	2	netw	netw	NOUN
bracis-28378	190	3	.	.	PUNCT
bracis-28378	191	1	144	144	NUM
bracis-28378	191	2	,	,	PUNCT
bracis-28378	191	3	455–464	455–464	NUM
bracis-28378	191	4	(	(	PUNCT
bracis-28378	191	5	2021	2021	NUM
bracis-28378	191	6	)	)	PUNCT
bracis-28378	191	7	article	article	NOUN
bracis-28378	191	8	  	  	SPACE
bracis-28378	191	9	google	google	PROPN
bracis-28378	191	10	scholar	scholar	NOUN
bracis-28378	191	11	  	  	SPACE
bracis-28378	191	12	lundberg	lundberg	PROPN
bracis-28378	191	13	,	,	PUNCT
bracis-28378	191	14	s.m	s.m	PROPN
bracis-28378	191	15	.	.	PROPN
bracis-28378	191	16	,	,	PUNCT
bracis-28378	191	17	lee	lee	PROPN
bracis-28378	191	18	,	,	PUNCT
bracis-28378	191	19	s.i	s.i	PROPN
bracis-28378	191	20	.	.	PROPN
bracis-28378	191	21	:	:	PUNCT
bracis-28378	191	22	a	a	DET
bracis-28378	191	23	unified	unified	ADJ
bracis-28378	191	24	approach	approach	NOUN
bracis-28378	191	25	to	to	ADP
bracis-28378	191	26	interpreting	interpret	VERB
bracis-28378	191	27	model	model	NOUN
bracis-28378	191	28	predictions	prediction	NOUN
bracis-28378	191	29	.	.	PUNCT
bracis-28378	192	1	in	in	ADP
bracis-28378	192	2	:	:	PUNCT
bracis-28378	192	3	guyon	guyon	NOUN
bracis-28378	192	4	,	,	PUNCT
bracis-28378	192	5	i.	i.	PROPN
bracis-28378	192	6	,	,	PUNCT
bracis-28378	192	7	luxburg	luxburg	PROPN
bracis-28378	192	8	,	,	PUNCT
bracis-28378	192	9	u.v	u.v	PROPN
bracis-28378	192	10	.	.	PROPN
bracis-28378	192	11	,	,	PUNCT
bracis-28378	192	12	bengio	bengio	PROPN
bracis-28378	192	13	,	,	PUNCT
bracis-28378	192	14	s.	s.	PROPN
bracis-28378	192	15	,	,	PUNCT
bracis-28378	192	16	wallach	wallach	PROPN
bracis-28378	192	17	,	,	PUNCT
bracis-28378	192	18	h.	h.	PROPN
bracis-28378	192	19	,	,	PUNCT
bracis-28378	192	20	fergus	fergus	PROPN
bracis-28378	192	21	,	,	PUNCT
bracis-28378	192	22	r.	r.	PROPN
bracis-28378	192	23	,	,	PUNCT
bracis-28378	192	24	vishwanathan	vishwanathan	PROPN
bracis-28378	192	25	,	,	PUNCT
bracis-28378	192	26	s.	s.	PROPN
bracis-28378	192	27	,	,	PUNCT
bracis-28378	192	28	garnett	garnett	PROPN
bracis-28378	192	29	,	,	PUNCT
bracis-28378	192	30	r.	r.	PROPN
bracis-28378	192	31	(	(	PUNCT
bracis-28378	192	32	eds	eds	PROPN
bracis-28378	192	33	.	.	PUNCT
bracis-28378	192	34	)	)	PUNCT
bracis-28378	192	35	advances	advance	NOUN
bracis-28378	192	36	in	in	ADP
bracis-28378	192	37	neural	neural	ADJ
bracis-28378	192	38	information	information	NOUN
bracis-28378	192	39	processing	processing	NOUN
bracis-28378	192	40	systems	system	NOUN
bracis-28378	192	41	30	30	NUM
bracis-28378	192	42	,	,	PUNCT
bracis-28378	192	43	pp	pp	ADJ
bracis-28378	192	44	.	.	PUNCT
bracis-28378	192	45	4765–4774	4765–4774	NUM
bracis-28378	192	46	.	.	PUNCT
bracis-28378	193	1	curran	curran	PROPN
bracis-28378	193	2	associates	associates	PROPN
bracis-28378	193	3	,	,	PUNCT
bracis-28378	193	4	inc	inc	PROPN
bracis-28378	193	5	.	.	PROPN
bracis-28378	193	6	(	(	PUNCT
bracis-28378	193	7	2017	2017	NUM
bracis-28378	193	8	)	)	PUNCT
bracis-28378	193	9	google	google	PROPN
bracis-28378	193	10	scholar	scholar	NOUN
bracis-28378	193	11	  	  	SPACE
bracis-28378	193	12	ma	ma	PROPN
bracis-28378	193	13	,	,	PUNCT
bracis-28378	193	14	d.	d.	PROPN
bracis-28378	193	15	,	,	PUNCT
bracis-28378	193	16	shang	shang	PROPN
bracis-28378	193	17	,	,	PUNCT
bracis-28378	193	18	l.	l.	PROPN
bracis-28378	193	19	,	,	PUNCT
bracis-28378	193	20	tang	tang	PROPN
bracis-28378	193	21	,	,	PUNCT
bracis-28378	193	22	j.	j.	PROPN
bracis-28378	193	23	,	,	PUNCT
bracis-28378	193	24	bao	bao	PROPN
bracis-28378	193	25	,	,	PUNCT
bracis-28378	193	26	y.	y.	PROPN
bracis-28378	193	27	,	,	PUNCT
bracis-28378	193	28	fu	fu	PROPN
bracis-28378	193	29	,	,	PUNCT
bracis-28378	193	30	j.	j.	PROPN
bracis-28378	193	31	,	,	PUNCT
bracis-28378	193	32	yin	yin	PROPN
bracis-28378	193	33	,	,	PUNCT
bracis-28378	193	34	j.	j.	PROPN
bracis-28378	193	35	:	:	PUNCT
bracis-28378	193	36	classifying	classify	VERB
bracis-28378	193	37	breast	breast	NOUN
bracis-28378	193	38	cancer	cancer	NOUN
bracis-28378	193	39	tissue	tissue	NOUN
bracis-28378	193	40	by	by	ADP
bracis-28378	193	41	raman	raman	NOUN
bracis-28378	193	42	spectroscopy	spectroscopy	NOUN
bracis-28378	193	43	with	with	ADP
bracis-28378	193	44	one	one	NUM
bracis-28378	193	45	-	-	PUNCT
bracis-28378	193	46	dimensional	dimensional	ADJ
bracis-28378	193	47	convolutional	convolutional	ADJ
bracis-28378	193	48	neural	neural	ADJ
bracis-28378	193	49	network	network	NOUN
bracis-28378	193	50	.	.	PUNCT
bracis-28378	194	1	spectrochim	spectrochim	PROPN
bracis-28378	194	2	.	.	PUNCT
bracis-28378	195	1	acta	acta	PROPN
bracis-28378	195	2	part	part	NOUN
bracis-28378	195	3	a	a	DET
bracis-28378	195	4	mol	mol	PROPN
bracis-28378	195	5	.	.	PROPN
bracis-28378	195	6	biomol	biomol	PROPN
bracis-28378	195	7	.	.	PUNCT
bracis-28378	196	1	spectrosc	spectrosc	PROPN
bracis-28378	196	2	.	.	PUNCT
bracis-28378	197	1	256	256	NUM
bracis-28378	197	2	,	,	PUNCT
bracis-28378	197	3	119732	119732	NUM
bracis-28378	197	4	(	(	PUNCT
bracis-28378	197	5	2021	2021	NUM
bracis-28378	197	6	)	)	PUNCT
bracis-28378	197	7	article	article	NOUN
bracis-28378	197	8	  	  	SPACE
bracis-28378	197	9	google	google	PROPN
bracis-28378	197	10	scholar	scholar	NOUN
bracis-28378	197	11	  	  	SPACE
bracis-28378	197	12	naseer	naseer	NOUN
bracis-28378	197	13	,	,	PUNCT
bracis-28378	197	14	k.	k.	PROPN
bracis-28378	197	15	,	,	PUNCT
bracis-28378	197	16	ali	ali	PROPN
bracis-28378	197	17	,	,	PUNCT
bracis-28378	197	18	s.	s.	PROPN
bracis-28378	197	19	,	,	PUNCT
bracis-28378	197	20	qazi	qazi	PROPN
bracis-28378	197	21	,	,	PUNCT
bracis-28378	197	22	j.	j.	PROPN
bracis-28378	197	23	:	:	PUNCT
bracis-28378	197	24	atr	atr	PROPN
bracis-28378	197	25	-	-	PUNCT
bracis-28378	197	26	ftir	ftir	ADJ
bracis-28378	197	27	spectroscopy	spectroscopy	NOUN
bracis-28378	197	28	as	as	ADP
bracis-28378	197	29	the	the	DET
bracis-28378	197	30	future	future	NOUN
bracis-28378	197	31	of	of	ADP
bracis-28378	197	32	diagnostics	diagnostic	NOUN
bracis-28378	197	33	:	:	PUNCT
bracis-28378	197	34	a	a	DET
bracis-28378	197	35	systematic	systematic	ADJ
bracis-28378	197	36	review	review	NOUN
bracis-28378	197	37	of	of	ADP
bracis-28378	197	38	the	the	DET
bracis-28378	197	39	approach	approach	NOUN
bracis-28378	197	40	using	use	VERB
bracis-28378	197	41	bio	bio	NOUN
bracis-28378	197	42	-	-	PUNCT
bracis-28378	197	43	fluids	fluid	NOUN
bracis-28378	197	44	.	.	PUNCT
bracis-28378	198	1	appl	appl	PROPN
bracis-28378	198	2	.	.	PROPN
bracis-28378	198	3	spectrosc	spectrosc	PROPN
bracis-28378	198	4	.	.	PUNCT
bracis-28378	199	1	rev	rev	PROPN
bracis-28378	199	2	.	.	PROPN
bracis-28378	200	1	56(2	56(2	NUM
bracis-28378	200	2	)	)	PUNCT
bracis-28378	200	3	,	,	PUNCT
bracis-28378	200	4	85–97	85–97	NUM
bracis-28378	200	5	(	(	PUNCT
bracis-28378	200	6	2021	2021	NUM
bracis-28378	200	7	)	)	PUNCT
bracis-28378	200	8	article	article	NOUN
bracis-28378	200	9	  	  	SPACE
bracis-28378	200	10	google	google	PROPN
bracis-28378	200	11	scholar	scholar	NOUN
bracis-28378	200	12	  	  	SPACE
bracis-28378	200	13	oliveira	oliveira	PROPN
bracis-28378	200	14	,	,	PUNCT
bracis-28378	200	15	s.w	s.w	PROPN
bracis-28378	200	16	.	.	PROPN
bracis-28378	200	17	,	,	PUNCT
bracis-28378	200	18	et	et	PROPN
bracis-28378	200	19	al	al	PROPN
bracis-28378	200	20	.	.	PROPN
bracis-28378	200	21	:	:	PUNCT
bracis-28378	201	1	salivary	salivary	ADJ
bracis-28378	201	2	detection	detection	NOUN
bracis-28378	201	3	of	of	ADP
bracis-28378	201	4	zika	zika	X
bracis-28378	201	5	virus	virus	NOUN
bracis-28378	201	6	infection	infection	NOUN
bracis-28378	201	7	using	use	VERB
bracis-28378	201	8	atr	atr	PROPN
bracis-28378	201	9	-	-	PUNCT
bracis-28378	201	10	ftir	ftir	ADJ
bracis-28378	201	11	spectroscopy	spectroscopy	NOUN
bracis-28378	201	12	coupled	couple	VERB
bracis-28378	201	13	with	with	ADP
bracis-28378	201	14	machine	machine	NOUN
bracis-28378	201	15	learning	learn	VERB
bracis-28378	201	16	algorithms	algorithm	NOUN
bracis-28378	201	17	and	and	CCONJ
bracis-28378	201	18	univariate	univariate	ADJ
bracis-28378	201	19	analysis	analysis	NOUN
bracis-28378	201	20	:	:	PUNCT
bracis-28378	201	21	a	a	DET
bracis-28378	201	22	proof	proof	NOUN
bracis-28378	201	23	-	-	PUNCT
bracis-28378	201	24	of	of	ADP
bracis-28378	201	25	-	-	PUNCT
bracis-28378	201	26	concept	concept	NOUN
bracis-28378	201	27	animal	animal	NOUN
bracis-28378	201	28	study	study	NOUN
bracis-28378	201	29	.	.	PUNCT
bracis-28378	202	1	diagnostics	diagnostic	NOUN
bracis-28378	202	2	13(8	13(8	NUM
bracis-28378	202	3	)	)	PUNCT
bracis-28378	202	4	,	,	PUNCT
bracis-28378	202	5	1443	1443	NUM
bracis-28378	202	6	(	(	PUNCT
bracis-28378	202	7	2023	2023	NUM
bracis-28378	202	8	)	)	PUNCT
bracis-28378	202	9	article	article	NOUN
bracis-28378	202	10	  	  	SPACE
bracis-28378	202	11	google	google	PROPN
bracis-28378	202	12	scholar	scholar	NOUN
bracis-28378	202	13	  	  	SPACE
bracis-28378	202	14	sang	sing	VERB
bracis-28378	202	15	,	,	PUNCT
bracis-28378	202	16	x.	x.	PROPN
bracis-28378	202	17	,	,	PUNCT
bracis-28378	202	18	zhou	zhou	PROPN
bracis-28378	202	19	,	,	PUNCT
bracis-28378	202	20	r.g	r.g	PROPN
bracis-28378	202	21	.	.	PROPN
bracis-28378	202	22	,	,	PUNCT
bracis-28378	202	23	li	li	PROPN
bracis-28378	202	24	,	,	PUNCT
bracis-28378	202	25	y.	y.	PROPN
bracis-28378	202	26	,	,	PUNCT
bracis-28378	202	27	xiong	xiong	PROPN
bracis-28378	202	28	,	,	PUNCT
bracis-28378	202	29	s.	s.	PROPN
bracis-28378	202	30	:	:	PUNCT
bracis-28378	202	31	one	one	NUM
bracis-28378	202	32	-	-	PUNCT
bracis-28378	202	33	dimensional	dimensional	ADJ
bracis-28378	202	34	deep	deep	ADJ
bracis-28378	202	35	convolutional	convolutional	ADJ
bracis-28378	202	36	neural	neural	ADJ
bracis-28378	202	37	network	network	NOUN
bracis-28378	202	38	for	for	ADP
bracis-28378	202	39	mineral	mineral	NOUN
bracis-28378	202	40	classification	classification	NOUN
bracis-28378	202	41	from	from	ADP
bracis-28378	202	42	raman	raman	NOUN
bracis-28378	202	43	spectroscopy	spectroscopy	NOUN
bracis-28378	202	44	.	.	PUNCT
bracis-28378	203	1	neural	neural	ADJ
bracis-28378	203	2	processing	processing	NOUN
bracis-28378	203	3	letters	letter	NOUN
bracis-28378	203	4	,	,	PUNCT
bracis-28378	203	5	pp	pp	PROPN
bracis-28378	203	6	.	.	PUNCT
bracis-28378	204	1	1–14	1–14	PROPN
bracis-28378	204	2	(	(	PUNCT
bracis-28378	204	3	2022	2022	NUM
bracis-28378	204	4	)	)	PUNCT
bracis-28378	204	5	google	google	PROPN
bracis-28378	204	6	scholar	scholar	NOUN
bracis-28378	204	7	  	  	SPACE
bracis-28378	204	8	savitzky	savitzky	NOUN
bracis-28378	204	9	,	,	PUNCT
bracis-28378	204	10	a.	a.	PROPN
bracis-28378	204	11	,	,	PUNCT
bracis-28378	204	12	golay	golay	NOUN
bracis-28378	204	13	,	,	PUNCT
bracis-28378	204	14	m.j	m.j	PROPN
bracis-28378	204	15	.	.	PROPN
bracis-28378	204	16	:	:	PUNCT
bracis-28378	204	17	smoothing	smoothing	NOUN
bracis-28378	204	18	and	and	CCONJ
bracis-28378	204	19	differentiation	differentiation	NOUN
bracis-28378	204	20	of	of	ADP
bracis-28378	204	21	data	datum	NOUN
bracis-28378	204	22	by	by	ADP
bracis-28378	204	23	simplified	simplified	ADJ
bracis-28378	204	24	least	least	ADJ
bracis-28378	204	25	squares	square	NOUN
bracis-28378	204	26	procedures	procedure	NOUN
bracis-28378	204	27	.	.	PUNCT
bracis-28378	205	1	anal	anal	ADJ
bracis-28378	205	2	.	.	PUNCT
bracis-28378	205	3	chem	chem	PROPN
bracis-28378	205	4	.	.	PUNCT
bracis-28378	206	1	36(8	36(8	NUM
bracis-28378	206	2	)	)	PUNCT
bracis-28378	206	3	,	,	PUNCT
bracis-28378	206	4	1627–1639	1627–1639	NUM
bracis-28378	206	5	(	(	PUNCT
bracis-28378	206	6	1964	1964	NUM
bracis-28378	206	7	)	)	PUNCT
bracis-28378	206	8	article	article	NOUN
bracis-28378	206	9	  	  	SPACE
bracis-28378	206	10	google	google	PROPN
bracis-28378	206	11	scholar	scholar	NOUN
bracis-28378	206	12	  	  	SPACE
bracis-28378	206	13	yin	yin	PROPN
bracis-28378	206	14	,	,	PUNCT
bracis-28378	206	15	g.	g.	PROPN
bracis-28378	206	16	,	,	PUNCT
bracis-28378	206	17	et	et	PROPN
bracis-28378	206	18	al	al	PROPN
bracis-28378	206	19	.	.	PROPN
bracis-28378	206	20	:	:	PUNCT
bracis-28378	207	1	an	an	DET
bracis-28378	207	2	efficient	efficient	ADJ
bracis-28378	207	3	primary	primary	ADJ
bracis-28378	207	4	screening	screening	NOUN
bracis-28378	207	5	of	of	ADP
bracis-28378	207	6	covid-19	covid-19	PROPN
bracis-28378	207	7	by	by	ADP
bracis-28378	207	8	serum	serum	NOUN
bracis-28378	207	9	raman	raman	NOUN
bracis-28378	207	10	spectroscopy	spectroscopy	NOUN
bracis-28378	207	11	.	.	PUNCT
bracis-28378	208	1	j.	j.	PROPN
bracis-28378	208	2	raman	raman	PROPN
bracis-28378	208	3	spectrosc	spectrosc	PROPN
bracis-28378	208	4	.	.	PUNCT
bracis-28378	209	1	52(5	52(5	NUM
bracis-28378	209	2	)	)	PUNCT
bracis-28378	209	3	,	,	PUNCT
bracis-28378	209	4	949–958	949–958	NUM
bracis-28378	209	5	(	(	PUNCT
bracis-28378	209	6	2021	2021	NUM
bracis-28378	209	7	)	)	PUNCT
bracis-28378	209	8	article	article	NOUN
bracis-28378	209	9	  	  	SPACE
bracis-28378	209	10	google	google	PROPN
bracis-28378	209	11	scholar	scholar	NOUN
bracis-28378	209	12	  	  	SPACE
bracis-28378	209	13	zeng	zeng	PROPN
bracis-28378	209	14	,	,	PUNCT
bracis-28378	209	15	w.	w.	PROPN
bracis-28378	209	16	,	,	PUNCT
bracis-28378	209	17	wang	wang	PROPN
bracis-28378	209	18	,	,	PUNCT
bracis-28378	209	19	q.	q.	PROPN
bracis-28378	209	20	,	,	PUNCT
bracis-28378	209	21	xia	xia	PROPN
bracis-28378	209	22	,	,	PUNCT
bracis-28378	209	23	z.	z.	PROPN
bracis-28378	209	24	,	,	PUNCT
bracis-28378	209	25	li	li	PROPN
bracis-28378	209	26	,	,	PUNCT
bracis-28378	209	27	z.	z.	PROPN
bracis-28378	209	28	,	,	PUNCT
bracis-28378	209	29	qu	qu	PROPN
bracis-28378	209	30	,	,	PUNCT
bracis-28378	209	31	h.	h.	PROPN
bracis-28378	209	32	:	:	PUNCT
bracis-28378	209	33	application	application	NOUN
bracis-28378	209	34	of	of	ADP
bracis-28378	209	35	xgboost	xgboost	ADJ
bracis-28378	209	36	algorithm	algorithm	NOUN
bracis-28378	209	37	in	in	ADP
bracis-28378	209	38	the	the	DET
bracis-28378	209	39	detection	detection	NOUN
bracis-28378	209	40	of	of	ADP
bracis-28378	209	41	sars	sar	NOUN
bracis-28378	209	42	-	-	PUNCT
bracis-28378	209	43	cov-2	cov-2	PART
bracis-28378	209	44	using	use	VERB
bracis-28378	209	45	raman	raman	NOUN
bracis-28378	209	46	spectroscopy	spectroscopy	NOUN
bracis-28378	209	47	.	.	PUNCT
bracis-28378	210	1	j.	j.	PROPN
bracis-28378	210	2	phys	phys	PROPN
bracis-28378	210	3	.	.	PUNCT
bracis-28378	210	4	conf	conf	PROPN
bracis-28378	210	5	.	.	PUNCT
bracis-28378	211	1	seri	seri	PROPN
bracis-28378	211	2	.	.	PUNCT
bracis-28378	212	1	1775	1775	NUM
bracis-28378	212	2	,	,	PUNCT
bracis-28378	212	3	012007	012007	NUM
bracis-28378	212	4	.	.	PUNCT
bracis-28378	213	1	iop	iop	PROPN
bracis-28378	213	2	publishing	publishing	NOUN
bracis-28378	213	3	(	(	PUNCT
bracis-28378	213	4	2021	2021	NUM
bracis-28378	213	5	)	)	PUNCT
bracis-28378	213	6	google	google	NOUN
bracis-28378	213	7	scholar	scholar	NOUN
bracis-28378	213	8	  	  	SPACE
bracis-28378	213	9	download	download	NOUN
bracis-28378	213	10	references	reference	NOUN
bracis-28378	213	11	acknowledgment	acknowledgment	NOUN
bracis-28378	213	12	authors	author	NOUN
bracis-28378	213	13	thank	thank	VERB
bracis-28378	213	14	the	the	DET
bracis-28378	213	15	financial	financial	ADJ
bracis-28378	213	16	support	support	NOUN
bracis-28378	213	17	given	give	VERB
bracis-28378	213	18	by	by	ADP
bracis-28378	213	19	google	google	PROPN
bracis-28378	213	20	(	(	PUNCT
bracis-28378	213	21	through	through	ADP
bracis-28378	213	22	the	the	DET
bracis-28378	213	23	2020	2020	NUM
bracis-28378	213	24	and	and	CCONJ
bracis-28378	213	25	2021	2021	NUM
bracis-28378	213	26	google	google	PROPN
bracis-28378	213	27	latin	latin	PROPN
bracis-28378	213	28	america	america	PROPN
bracis-28378	213	29	research	research	PROPN
bracis-28378	213	30	awards	award	NOUN
bracis-28378	213	31	)	)	PUNCT
bracis-28378	213	32	,	,	PUNCT
bracis-28378	213	33	minas	minas	PROPN
bracis-28378	213	34	gerais	gerais	PROPN
bracis-28378	213	35	research	research	PROPN
bracis-28378	213	36	foundation	foundation	PROPN
bracis-28378	213	37	fapemig	fapemig	PROPN
bracis-28378	213	38	(	(	PUNCT
bracis-28378	213	39	grants	grant	NOUN
bracis-28378	213	40	number	number	NOUN
bracis-28378	213	41	apq-00410	apq-00410	NOUN
bracis-28378	213	42	-	-	PUNCT
bracis-28378	213	43	21	21	NUM
bracis-28378	213	44	)	)	PUNCT
bracis-28378	213	45	,	,	PUNCT
bracis-28378	213	46	brazilian	brazilian	ADJ
bracis-28378	213	47	national	national	PROPN
bracis-28378	213	48	council	council	PROPN
bracis-28378	213	49	for	for	ADP
bracis-28378	213	50	scientific	scientific	ADJ
bracis-28378	213	51	and	and	CCONJ
bracis-28378	213	52	technological	technological	ADJ
bracis-28378	213	53	development	development	NOUN
bracis-28378	213	54	cnpq	cnpq	NOUN
bracis-28378	213	55	(	(	PUNCT
bracis-28378	213	56	grants	grant	NOUN
bracis-28378	213	57	number	number	NOUN
bracis-28378	213	58	402196/2021	402196/2021	NUM
bracis-28378	213	59	-	-	SYM
bracis-28378	213	60	0	0	NUM
bracis-28378	213	61	and	and	CCONJ
bracis-28378	213	62	408216/2022	408216/2022	NUM
bracis-28378	213	63	-	-	SYM
bracis-28378	213	64	0	0	NUM
bracis-28378	213	65	)	)	PUNCT
bracis-28378	213	66	,	,	PUNCT
bracis-28378	213	67	and	and	CCONJ
bracis-28378	213	68	national	national	PROPN
bracis-28378	213	69	institute	institute	PROPN
bracis-28378	213	70	of	of	ADP
bracis-28378	213	71	science	science	NOUN
bracis-28378	213	72	and	and	CCONJ
bracis-28378	213	73	technology	technology	NOUN
bracis-28378	213	74	in	in	ADP
bracis-28378	213	75	theranostics	theranostic	NOUN
bracis-28378	213	76	and	and	CCONJ
bracis-28378	213	77	nanobiotechnology	nanobiotechnology	NOUN
bracis-28378	213	78	inct	inct	NOUN
bracis-28378	213	79	-	-	PUNCT
bracis-28378	213	80	teranano	teranano	VERB
bracis-28378	213	81	(	(	PUNCT
bracis-28378	213	82	grant	grant	NOUN
bracis-28378	213	83	number	number	NOUN
bracis-28378	213	84	cnpq-465669/2014	cnpq-465669/2014	NOUN
bracis-28378	213	85	-	-	PUNCT
bracis-28378	213	86	0	0	NUM
bracis-28378	213	87	)	)	PUNCT
bracis-28378	213	88	.	.	PUNCT
bracis-28378	214	1	rs	rs	PROPN
bracis-28378	214	2	-	-	SYM
bracis-28378	214	3	s	s	NOUN
bracis-28378	214	4	also	also	ADV
bracis-28378	214	5	thanks	thank	NOUN
bracis-28378	214	6	the	the	DET
bracis-28378	214	7	cnpq	cnpq	NOUN
bracis-28378	214	8	for	for	ADP
bracis-28378	214	9	the	the	DET
bracis-28378	214	10	productivity	productivity	NOUN
bracis-28378	214	11	fellowship	fellowship	NOUN
bracis-28378	214	12	.	.	PUNCT
bracis-28378	215	1	we	we	PRON
bracis-28378	215	2	also	also	ADV
bracis-28378	215	3	thank	thank	VERB
bracis-28378	215	4	nvidia	nvidia	PROPN
bracis-28378	215	5	corporation	corporation	NOUN
bracis-28378	215	6	by	by	ADP
bracis-28378	215	7	the	the	DET
bracis-28378	215	8	donation	donation	NOUN
bracis-28378	215	9	of	of	ADP
bracis-28378	215	10	a	a	DET
bracis-28378	215	11	titan	titan	NOUN
bracis-28378	215	12	v	v	ADP
bracis-28378	215	13	gpu	gpu	NOUN
bracis-28378	215	14	used	use	VERB
bracis-28378	215	15	in	in	ADP
bracis-28378	215	16	this	this	DET
bracis-28378	215	17	research	research	NOUN
bracis-28378	215	18	.	.	PUNCT
bracis-28378	216	1	author	author	NOUN
bracis-28378	216	2	information	information	NOUN
bracis-28378	216	3	authors	author	NOUN
bracis-28378	216	4	and	and	CCONJ
bracis-28378	216	5	affiliations	affiliation	NOUN
bracis-28378	216	6	faculty	faculty	NOUN
bracis-28378	216	7	of	of	ADP
bracis-28378	216	8	computing	computing	NOUN
bracis-28378	216	9	,	,	PUNCT
bracis-28378	216	10	federal	federal	ADJ
bracis-28378	216	11	university	university	PROPN
bracis-28378	216	12	of	of	ADP
bracis-28378	216	13	uberlandia	uberlandia	PROPN
bracis-28378	216	14	,	,	PUNCT
bracis-28378	216	15	uberlandia	uberlandia	NOUN
bracis-28378	216	16	,	,	PUNCT
bracis-28378	216	17	mg	mg	PROPN
bracis-28378	216	18	,	,	PUNCT
bracis-28378	216	19	brazil	brazil	PROPN
bracis-28378	216	20	anisio	anisio	NOUN
bracis-28378	216	21	p.	p.	PROPN
bracis-28378	216	22	santos	santos	PROPN
bracis-28378	217	1	jr	jr	PROPN
bracis-28378	217	2	.	.	PROPN
bracis-28378	217	3	,	,	PUNCT
bracis-28378	217	4	 	 	SPACE
bracis-28378	217	5	anage	anage	NOUN
bracis-28378	217	6	c.	c.	PROPN
bracis-28378	217	7	mundim	mundim	PROPN
bracis-28378	217	8	filho	filho	PROPN
bracis-28378	217	9	 	 	SPACE
bracis-28378	217	10	&	&	CCONJ
bracis-28378	217	11	 	 	SPACE
bracis-28378	217	12	murillo	murillo	PROPN
bracis-28378	217	13	g.	g.	PROPN
bracis-28378	217	14	carneiro	carneiro	PROPN
bracis-28378	217	15	department	department	PROPN
bracis-28378	217	16	of	of	ADP
bracis-28378	217	17	physiology	physiology	NOUN
bracis-28378	217	18	,	,	PUNCT
bracis-28378	217	19	institute	institute	NOUN
bracis-28378	217	20	of	of	ADP
bracis-28378	217	21	biomedical	biomedical	ADJ
bracis-28378	217	22	sciences	sciences	PROPN
bracis-28378	217	23	,	,	PUNCT
bracis-28378	217	24	federal	federal	ADJ
bracis-28378	217	25	university	university	PROPN
bracis-28378	217	26	of	of	ADP
bracis-28378	217	27	uberlandia	uberlandia	PROPN
bracis-28378	217	28	,	,	PUNCT
bracis-28378	217	29	uberlandia	uberlandia	NOUN
bracis-28378	217	30	,	,	PUNCT
bracis-28378	217	31	mg	mg	PROPN
bracis-28378	217	32	,	,	PUNCT
bracis-28378	217	33	brazil	brazil	PROPN
bracis-28378	217	34	robinson	robinson	PROPN
bracis-28378	217	35	sabino	sabino	PROPN
bracis-28378	217	36	-	-	PUNCT
bracis-28378	217	37	silva	silva	NOUN
bracis-28378	217	38	authors	author	NOUN
bracis-28378	217	39	anisio	anisio	VERB
bracis-28378	217	40	p.	p.	PROPN
bracis-28378	217	41	santos	santos	PROPN
bracis-28378	217	42	jr.view	jr.view	VERB
bracis-28378	217	43	author	author	NOUN
bracis-28378	217	44	publications	publication	NOUN
bracis-28378	217	45	search	search	NOUN
bracis-28378	217	46	author	author	NOUN
bracis-28378	217	47	on	on	ADP
bracis-28378	217	48	:	:	PUNCT
bracis-28378	217	49	pubmed	pubmed	PROPN
bracis-28378	217	50	 	 	SPACE
bracis-28378	217	51	google	google	PROPN
bracis-28378	217	52	scholar	scholar	NOUN
bracis-28378	217	53	anage	anage	NOUN
bracis-28378	217	54	c.	c.	PROPN
bracis-28378	217	55	mundim	mundim	PROPN
bracis-28378	217	56	filhoview	filhoview	PROPN
bracis-28378	217	57	author	author	NOUN
bracis-28378	217	58	publications	publication	NOUN
bracis-28378	217	59	search	search	NOUN
bracis-28378	217	60	author	author	NOUN
bracis-28378	217	61	on	on	ADP
bracis-28378	217	62	:	:	PUNCT
bracis-28378	217	63	pubmed	pubmed	PROPN
bracis-28378	217	64	 	 	SPACE
bracis-28378	217	65	google	google	PROPN
bracis-28378	217	66	scholar	scholar	PROPN
bracis-28378	217	67	robinson	robinson	PROPN
bracis-28378	217	68	sabino	sabino	NOUN
bracis-28378	217	69	-	-	PUNCT
bracis-28378	217	70	silvaview	silvaview	NOUN
bracis-28378	217	71	author	author	NOUN
bracis-28378	217	72	publications	publication	NOUN
bracis-28378	217	73	search	search	NOUN
bracis-28378	217	74	author	author	NOUN
bracis-28378	217	75	on	on	ADP
bracis-28378	217	76	:	:	PUNCT
bracis-28378	217	77	pubmed	pubmed	PROPN
bracis-28378	217	78	 	 	SPACE
bracis-28378	217	79	google	google	PROPN
bracis-28378	217	80	scholar	scholar	NOUN
bracis-28378	217	81	murillo	murillo	PROPN
bracis-28378	217	82	g.	g.	PROPN
bracis-28378	217	83	carneiroview	carneiroview	PROPN
bracis-28378	217	84	author	author	NOUN
bracis-28378	217	85	publications	publication	NOUN
bracis-28378	217	86	search	search	NOUN
bracis-28378	217	87	author	author	NOUN
bracis-28378	217	88	on	on	ADP
bracis-28378	217	89	:	:	PUNCT
bracis-28378	217	90	pubmed	pubmed	PROPN
bracis-28378	217	91	 	 	SPACE
bracis-28378	217	92	google	google	PROPN
bracis-28378	217	93	scholar	scholar	NOUN
bracis-28378	217	94	corresponding	correspond	VERB
bracis-28378	217	95	author	author	NOUN
bracis-28378	217	96	correspondence	correspondence	NOUN
bracis-28378	217	97	to	to	ADP
bracis-28378	217	98	murillo	murillo	PROPN
bracis-28378	217	99	g.	g.	PROPN
bracis-28378	217	100	carneiro	carneiro	PROPN
bracis-28378	217	101	.	.	PUNCT
bracis-28378	218	1	editor	editor	NOUN
bracis-28378	218	2	information	information	NOUN
bracis-28378	218	3	editors	editor	NOUN
bracis-28378	218	4	and	and	CCONJ
bracis-28378	218	5	affiliations	affiliation	NOUN
bracis-28378	218	6	federal	federal	PROPN
bracis-28378	218	7	university	university	PROPN
bracis-28378	218	8	of	of	ADP
bracis-28378	218	9	são	são	PROPN
bracis-28378	218	10	carlos	carlos	PROPN
bracis-28378	218	11	,	,	PUNCT
bracis-28378	218	12	são	são	PROPN
bracis-28378	218	13	carlos	carlos	PROPN
bracis-28378	218	14	,	,	PUNCT
bracis-28378	218	15	brazil	brazil	PROPN
bracis-28378	218	16	murilo	murilo	PROPN
bracis-28378	218	17	c.	c.	PROPN
bracis-28378	218	18	naldi	naldi	PROPN
bracis-28378	218	19	centro	centro	PROPN
bracis-28378	218	20	universitario	universitario	PROPN
bracis-28378	218	21	da	da	PROPN
bracis-28378	218	22	fei	fei	PROPN
bracis-28378	218	23	,	,	PUNCT
bracis-28378	218	24	são	são	PROPN
bracis-28378	218	25	bernardo	bernardo	PROPN
bracis-28378	218	26	do	do	AUX
bracis-28378	218	27	campo	campo	PROPN
bracis-28378	218	28	,	,	PUNCT
bracis-28378	218	29	brazil	brazil	PROPN
bracis-28378	218	30	reinaldo	reinaldo	PROPN
bracis-28378	218	31	a.	a.	PROPN
bracis-28378	218	32	c.	c.	PROPN
bracis-28378	218	33	bianchi	bianchi	PROPN
bracis-28378	218	34	rights	right	NOUN
bracis-28378	218	35	and	and	CCONJ
bracis-28378	218	36	permissions	permission	NOUN
bracis-28378	218	37	reprints	reprint	NOUN
bracis-28378	218	38	and	and	CCONJ
bracis-28378	218	39	permissions	permission	VERB
bracis-28378	218	40	copyright	copyright	NOUN
bracis-28378	218	41	information	information	NOUN
bracis-28378	218	42	©	©	ADP
bracis-28378	218	43	2023	2023	NUM
bracis-28378	218	44	the	the	DET
bracis-28378	218	45	author(s	author(s	NOUN
bracis-28378	218	46	)	)	PUNCT
bracis-28378	218	47	,	,	PUNCT
bracis-28378	218	48	under	under	ADP
bracis-28378	218	49	exclusive	exclusive	ADJ
bracis-28378	218	50	license	license	NOUN
bracis-28378	218	51	to	to	ADP
bracis-28378	218	52	springer	springer	NOUN
bracis-28378	218	53	nature	nature	PROPN
bracis-28378	218	54	switzerland	switzerland	PROPN
bracis-28378	218	55	ag	ag	PROPN
bracis-28378	218	56	about	about	ADP
bracis-28378	218	57	this	this	DET
bracis-28378	218	58	paper	paper	NOUN
bracis-28378	218	59	cite	cite	VERB
bracis-28378	218	60	this	this	DET
bracis-28378	218	61	paper	paper	NOUN
bracis-28378	218	62	santos	santos	PROPN
bracis-28378	218	63	,	,	PUNCT
bracis-28378	218	64	a.p	a.p	PROPN
bracis-28378	218	65	.	.	PROPN
bracis-28378	218	66	,	,	PUNCT
bracis-28378	218	67	filho	filho	PROPN
bracis-28378	218	68	,	,	PUNCT
bracis-28378	218	69	a.c.m	a.c.m	NOUN
bracis-28378	218	70	.	.	PROPN
bracis-28378	218	71	,	,	PUNCT
bracis-28378	218	72	sabino	sabino	NOUN
bracis-28378	218	73	-	-	PUNCT
bracis-28378	218	74	silva	silva	NOUN
bracis-28378	218	75	,	,	PUNCT
bracis-28378	218	76	r.	r.	PROPN
bracis-28378	218	77	,	,	PUNCT
bracis-28378	218	78	carneiro	carneiro	PROPN
bracis-28378	218	79	,	,	PUNCT
bracis-28378	218	80	m.g	m.g	PROPN
bracis-28378	218	81	.	.	PROPN
bracis-28378	218	82	(	(	PUNCT
bracis-28378	218	83	2023	2023	NUM
bracis-28378	218	84	)	)	PUNCT
bracis-28378	218	85	.	.	PUNCT
bracis-28378	219	1	convolutional	convolutional	ADJ
bracis-28378	219	2	neural	neural	ADJ
bracis-28378	219	3	networks	network	NOUN
bracis-28378	219	4	for	for	ADP
bracis-28378	219	5	 	 	SPACE
bracis-28378	219	6	the	the	DET
bracis-28378	219	7	 	 	SPACE
bracis-28378	219	8	molecular	molecular	ADJ
bracis-28378	219	9	detection	detection	NOUN
bracis-28378	219	10	of	of	ADP
bracis-28378	219	11	 	 	SPACE
bracis-28378	219	12	covid-19	covid-19	PROPN
bracis-28378	219	13	.	.	PUNCT
bracis-28378	220	1	in	in	ADP
bracis-28378	220	2	:	:	PUNCT
bracis-28378	220	3	naldi	naldi	PROPN
bracis-28378	220	4	,	,	PUNCT
bracis-28378	220	5	m.c	m.c	PROPN
bracis-28378	220	6	.	.	PROPN
bracis-28378	220	7	,	,	PUNCT
bracis-28378	220	8	bianchi	bianchi	PROPN
bracis-28378	220	9	,	,	PUNCT
bracis-28378	220	10	r.a.c	r.a.c	ADP
bracis-28378	220	11	.	.	PUNCT
bracis-28378	220	12	(	(	PUNCT
bracis-28378	220	13	eds	ed	NOUN
bracis-28378	220	14	)	)	PUNCT
bracis-28378	220	15	intelligent	intelligent	ADJ
bracis-28378	220	16	systems	system	NOUN
bracis-28378	220	17	.	.	PUNCT
bracis-28378	221	1	bracis	bracis	PROPN
bracis-28378	221	2	2023	2023	NUM
bracis-28378	221	3	.	.	PUNCT
bracis-28378	222	1	lecture	lecture	NOUN
bracis-28378	222	2	notes	note	NOUN
bracis-28378	222	3	in	in	ADP
bracis-28378	222	4	computer	computer	NOUN
bracis-28378	222	5	science	science	NOUN
bracis-28378	222	6	(	(	PUNCT
bracis-28378	222	7	)	)	PUNCT
bracis-28378	222	8	,	,	PUNCT
bracis-28378	222	9	vol	vol	NOUN
bracis-28378	222	10	14196	14196	NUM
bracis-28378	222	11	.	.	PUNCT
bracis-28378	223	1	springer	springer	NOUN
bracis-28378	223	2	,	,	PUNCT
bracis-28378	223	3	cham	cham	PROPN
bracis-28378	223	4	.	.	PUNCT
bracis-28378	224	1	https://doi.org/10.1007/978-3-031-45389-2_4	https://doi.org/10.1007/978-3-031-45389-2_4	PROPN
bracis-28378	224	2	download	download	PROPN
bracis-28378	224	3	citation	citation	NOUN
bracis-28378	224	4	.ris	.ris	PUNCT
bracis-28378	224	5	.enw	.enw	PROPN
bracis-28378	224	6	.bib	.bib	PUNCT
bracis-28378	225	1	doi	doi	PROPN
bracis-28378	225	2	:	:	PUNCT
bracis-28378	225	3	https://doi.org/10.1007/978-3-031-45389-2_4	https://doi.org/10.1007/978-3-031-45389-2_4	VERB
bracis-28378	225	4	published	publish	VERB
bracis-28378	225	5	:	:	PUNCT
bracis-28378	225	6	12	12	NUM
bracis-28378	225	7	october	october	PROPN
bracis-28378	225	8	2023	2023	NUM
bracis-28378	225	9	publisher	publisher	NOUN
bracis-28378	225	10	name	name	NOUN
bracis-28378	225	11	:	:	PUNCT
bracis-28378	225	12	springer	springer	NOUN
bracis-28378	225	13	,	,	PUNCT
bracis-28378	225	14	cham	cham	PROPN
bracis-28378	225	15	print	print	PROPN
bracis-28378	225	16	isbn	isbn	PROPN
bracis-28378	225	17	:	:	PUNCT
bracis-28378	225	18	978	978	NUM
bracis-28378	225	19	-	-	SYM
bracis-28378	225	20	3	3	NUM
bracis-28378	225	21	-	-	PUNCT
bracis-28378	225	22	031	031	NUM
bracis-28378	225	23	-	-	PUNCT
bracis-28378	225	24	45388	45388	NUM
bracis-28378	225	25	-	-	SYM
bracis-28378	225	26	5	5	NUM
bracis-28378	225	27	online	online	ADJ
bracis-28378	225	28	isbn	isbn	NOUN
bracis-28378	225	29	:	:	PUNCT
bracis-28378	225	30	978	978	NUM
bracis-28378	225	31	-	-	SYM
bracis-28378	225	32	3	3	NUM
bracis-28378	225	33	-	-	PUNCT
bracis-28378	225	34	031	031	NUM
bracis-28378	225	35	-	-	PUNCT
bracis-28378	225	36	45389	45389	NUM
bracis-28378	225	37	-	-	SYM
bracis-28378	225	38	2	2	NUM
bracis-28378	225	39	ebook	ebook	NOUN
bracis-28378	225	40	packages	package	NOUN
bracis-28378	225	41	:	:	PUNCT
bracis-28378	225	42	computer	computer	NOUN
bracis-28378	225	43	sciencecomputer	sciencecomputer	NOUN
bracis-28378	225	44	science	science	NOUN
bracis-28378	225	45	(	(	PUNCT
bracis-28378	225	46	r0	r0	NOUN
bracis-28378	225	47	)	)	PUNCT
bracis-28378	225	48	share	share	VERB
bracis-28378	225	49	this	this	DET
bracis-28378	225	50	paper	paper	NOUN
bracis-28378	225	51	anyone	anyone	PRON
bracis-28378	225	52	you	you	PRON
bracis-28378	225	53	share	share	VERB
bracis-28378	225	54	the	the	DET
bracis-28378	225	55	following	follow	VERB
bracis-28378	225	56	link	link	NOUN
bracis-28378	225	57	with	with	ADP
bracis-28378	225	58	will	will	AUX
bracis-28378	225	59	be	be	AUX
bracis-28378	225	60	able	able	ADJ
bracis-28378	225	61	to	to	PART
bracis-28378	225	62	read	read	VERB
bracis-28378	225	63	this	this	DET
bracis-28378	225	64	content	content	NOUN
bracis-28378	225	65	:	:	PUNCT
bracis-28378	225	66	get	get	VERB
bracis-28378	225	67	shareable	shareable	ADJ
bracis-28378	225	68	linksorry	linksorry	NOUN
bracis-28378	225	69	,	,	PUNCT
bracis-28378	225	70	a	a	DET
bracis-28378	225	71	shareable	shareable	ADJ
bracis-28378	225	72	link	link	NOUN
bracis-28378	225	73	is	be	AUX
bracis-28378	225	74	not	not	PART
bracis-28378	225	75	currently	currently	ADV
bracis-28378	225	76	available	available	ADJ
bracis-28378	225	77	for	for	ADP
bracis-28378	225	78	this	this	DET
bracis-28378	225	79	article	article	NOUN
bracis-28378	225	80	.	.	PUNCT
bracis-28378	226	1	copy	copy	VERB
bracis-28378	226	2	shareable	shareable	ADJ
bracis-28378	226	3	link	link	NOUN
bracis-28378	226	4	to	to	PART
bracis-28378	226	5	clipboard	clipboard	NOUN
bracis-28378	226	6	provided	provide	VERB
bracis-28378	226	7	by	by	ADP
bracis-28378	226	8	the	the	DET
bracis-28378	226	9	springer	springer	NOUN
bracis-28378	226	10	nature	nature	PROPN
bracis-28378	226	11	sharedit	sharedit	PROPN
bracis-28378	226	12	content	content	NOUN
bracis-28378	226	13	-	-	PUNCT
bracis-28378	226	14	sharing	share	VERB
bracis-28378	226	15	initiative	initiative	NOUN
bracis-28378	226	16	keywords	keyword	NOUN
bracis-28378	226	17	covid-19	covid-19	PROPN
bracis-28378	226	18	raman	raman	NOUN
bracis-28378	226	19	spectroscopy	spectroscopy	VERB
bracis-28378	226	20	convolutional	convolutional	ADJ
bracis-28378	226	21	neural	neural	ADJ
bracis-28378	226	22	networks	network	NOUN
bracis-28378	226	23	deep	deep	ADJ
bracis-28378	226	24	learning	learning	NOUN
bracis-28378	226	25	publish	publish	VERB
bracis-28378	226	26	with	with	ADP
bracis-28378	226	27	us	us	PROPN
bracis-28378	226	28	policies	policy	NOUN
bracis-28378	226	29	and	and	CCONJ
bracis-28378	226	30	ethics	ethic	NOUN
bracis-28378	226	31	profiles	profile	NOUN
bracis-28378	226	32	murillo	murillo	PROPN
bracis-28378	226	33	g.	g.	PROPN
bracis-28378	226	34	carneiro	carneiro	PROPN
bracis-28378	226	35	view	view	PROPN
bracis-28378	226	36	author	author	NOUN
bracis-28378	226	37	profile	profile	NOUN
bracis-28378	226	38	search	search	NOUN
bracis-28378	226	39	search	search	NOUN
bracis-28378	226	40	by	by	ADP
bracis-28378	226	41	keyword	keyword	NOUN
bracis-28378	226	42	or	or	CCONJ
bracis-28378	226	43	author	author	NOUN
bracis-28378	226	44	search	search	NOUN
bracis-28378	226	45	navigation	navigation	NOUN
bracis-28378	226	46	find	find	VERB
bracis-28378	226	47	a	a	DET
bracis-28378	226	48	journal	journal	NOUN
bracis-28378	226	49	publish	publish	VERB
bracis-28378	226	50	with	with	ADP
bracis-28378	226	51	us	we	PRON
bracis-28378	226	52	track	track	VERB
bracis-28378	226	53	your	your	PRON
bracis-28378	226	54	research	research	NOUN
bracis-28378	226	55	discover	discover	VERB
bracis-28378	226	56	content	content	NOUN
bracis-28378	226	57	journals	journal	NOUN
bracis-28378	226	58	a	a	DET
bracis-28378	226	59	-	-	PUNCT
bracis-28378	226	60	z	z	NOUN
bracis-28378	226	61	books	book	NOUN
bracis-28378	226	62	a	a	DET
bracis-28378	226	63	-	-	PUNCT
bracis-28378	226	64	z	z	NOUN
bracis-28378	226	65	publish	publish	NOUN
bracis-28378	226	66	with	with	ADP
bracis-28378	226	67	us	us	PROPN
bracis-28378	226	68	journal	journal	PROPN
bracis-28378	226	69	finder	finder	PROPN
bracis-28378	226	70	publish	publish	VERB
bracis-28378	226	71	your	your	PRON
bracis-28378	226	72	research	research	NOUN
bracis-28378	226	73	language	language	NOUN
bracis-28378	226	74	editing	edit	VERB
bracis-28378	226	75	open	open	ADJ
bracis-28378	226	76	access	access	NOUN
bracis-28378	226	77	publishing	publishing	NOUN
bracis-28378	226	78	products	product	NOUN
bracis-28378	226	79	and	and	CCONJ
bracis-28378	226	80	services	service	NOUN
bracis-28378	226	81	our	our	PRON
bracis-28378	226	82	products	product	NOUN
bracis-28378	226	83	librarians	librarian	VERB
bracis-28378	226	84	societies	society	NOUN
bracis-28378	226	85	partners	partner	NOUN
bracis-28378	226	86	and	and	CCONJ
bracis-28378	226	87	advertisers	advertiser	NOUN
bracis-28378	226	88	our	our	PRON
bracis-28378	226	89	brands	brand	NOUN
bracis-28378	226	90	springer	springer	NOUN
bracis-28378	226	91	nature	nature	PROPN
bracis-28378	226	92	portfolio	portfolio	PROPN
bracis-28378	226	93	bmc	bmc	PROPN
bracis-28378	226	94	palgrave	palgrave	PROPN
bracis-28378	226	95	macmillan	macmillan	PROPN
bracis-28378	226	96	apress	apress	PROPN
bracis-28378	226	97	discover	discover	VERB
bracis-28378	226	98	your	your	PRON
bracis-28378	226	99	privacy	privacy	NOUN
bracis-28378	226	100	choices	choice	NOUN
bracis-28378	226	101	/	/	SYM
bracis-28378	226	102	manage	manage	NOUN
bracis-28378	226	103	cookies	cookie	NOUN
bracis-28378	226	104	your	your	PRON
bracis-28378	226	105	us	us	PROPN
bracis-28378	227	1	state	state	NOUN
bracis-28378	227	2	privacy	privacy	NOUN
bracis-28378	227	3	rights	right	NOUN
bracis-28378	227	4	accessibility	accessibility	NOUN
bracis-28378	227	5	statement	statement	NOUN
bracis-28378	227	6	terms	term	NOUN
bracis-28378	227	7	and	and	CCONJ
bracis-28378	227	8	conditions	condition	NOUN
bracis-28378	227	9	privacy	privacy	NOUN
bracis-28378	227	10	policy	policy	NOUN
bracis-28378	227	11	help	help	NOUN
bracis-28378	227	12	and	and	CCONJ
bracis-28378	227	13	support	support	VERB
bracis-28378	227	14	legal	legal	ADJ
bracis-28378	227	15	notice	notice	NOUN
bracis-28378	227	16	cancel	cancel	VERB
bracis-28378	227	17	contracts	contract	NOUN
bracis-28378	227	18	here	here	ADV
bracis-28378	227	19	not	not	PART
bracis-28378	227	20	affiliated	affiliate	VERB
bracis-28378	227	21	©	©	PROPN
bracis-28378	227	22	2025	2025	NUM
bracis-28378	227	23	springer	springer	NOUN
bracis-28378	227	24	nature	nature	NOUN