id	sid	tid	token	lemma	pos
bracis-28397	1	1	a	a	DET
bracis-28397	1	2	feature	feature	NOUN
bracis-28397	1	3	-	-	PUNCT
bracis-28397	1	4	based	base	VERB
bracis-28397	1	5	out	out	ADP
bracis-28397	1	6	-	-	PUNCT
bracis-28397	1	7	of	of	ADP
bracis-28397	1	8	-	-	PUNCT
bracis-28397	1	9	distribution	distribution	NOUN
bracis-28397	1	10	detection	detection	NOUN
bracis-28397	1	11	approach	approach	NOUN
bracis-28397	1	12	in	in	ADP
bracis-28397	1	13	 	 	SPACE
bracis-28397	1	14	skin	skin	NOUN
bracis-28397	1	15	lesion	lesion	NOUN
bracis-28397	1	16	classification	classification	NOUN
bracis-28397	1	17	|	|	NOUN
bracis-28397	1	18	springer	springer	NOUN
bracis-28397	1	19	nature	nature	PROPN
bracis-28397	1	20	link	link	PROPN
bracis-28397	1	21	(	(	PUNCT
bracis-28397	1	22	formerly	formerly	ADV
bracis-28397	1	23	springerlink	springerlink	NOUN
bracis-28397	1	24	)	)	PUNCT
bracis-28397	1	25	skip	skip	VERB
bracis-28397	1	26	to	to	ADP
bracis-28397	1	27	main	main	ADJ
bracis-28397	1	28	content	content	NOUN
bracis-28397	1	29	advertisement	advertisement	NOUN
bracis-28397	1	30	log	log	NOUN
bracis-28397	1	31	in	in	ADP
bracis-28397	1	32	menu	menu	NOUN
bracis-28397	1	33	find	find	VERB
bracis-28397	1	34	a	a	DET
bracis-28397	1	35	journal	journal	NOUN
bracis-28397	1	36	publish	publish	VERB
bracis-28397	1	37	with	with	ADP
bracis-28397	1	38	us	we	PRON
bracis-28397	1	39	track	track	VERB
bracis-28397	1	40	your	your	PRON
bracis-28397	1	41	research	research	NOUN
bracis-28397	1	42	search	search	NOUN
bracis-28397	1	43	cart	cart	NOUN
bracis-28397	1	44	home	home	NOUN
bracis-28397	1	45	intelligent	intelligent	ADJ
bracis-28397	1	46	systems	system	NOUN
bracis-28397	1	47	conference	conference	NOUN
bracis-28397	1	48	paper	paper	NOUN
bracis-28397	1	49	a	a	DET
bracis-28397	1	50	feature	feature	NOUN
bracis-28397	1	51	-	-	PUNCT
bracis-28397	1	52	based	base	VERB
bracis-28397	1	53	out	out	ADP
bracis-28397	1	54	-	-	PUNCT
bracis-28397	1	55	of	of	ADP
bracis-28397	1	56	-	-	PUNCT
bracis-28397	1	57	distribution	distribution	NOUN
bracis-28397	1	58	detection	detection	NOUN
bracis-28397	1	59	approach	approach	NOUN
bracis-28397	1	60	in	in	ADP
bracis-28397	1	61	 	 	SPACE
bracis-28397	1	62	skin	skin	NOUN
bracis-28397	1	63	lesion	lesion	NOUN
bracis-28397	1	64	classification	classification	NOUN
bracis-28397	1	65	conference	conference	NOUN
bracis-28397	1	66	paper	paper	NOUN
bracis-28397	1	67	first	first	ADV
bracis-28397	1	68	online	online	ADV
bracis-28397	1	69	:	:	PUNCT
bracis-28397	1	70	12	12	NUM
bracis-28397	1	71	october	october	NOUN
bracis-28397	1	72	2023	2023	NUM
bracis-28397	1	73	pp	pp	PRON
bracis-28397	1	74	338–352	338–352	NUM
bracis-28397	1	75	cite	cite	VERB
bracis-28397	1	76	this	this	DET
bracis-28397	1	77	conference	conference	NOUN
bracis-28397	1	78	paper	paper	NOUN
bracis-28397	1	79	access	access	NOUN
bracis-28397	1	80	provided	provide	VERB
bracis-28397	1	81	by	by	ADP
bracis-28397	1	82	university	university	PROPN
bracis-28397	1	83	of	of	ADP
bracis-28397	1	84	notre	notre	PROPN
bracis-28397	1	85	dame	dame	PROPN
bracis-28397	1	86	hesburgh	hesburgh	PROPN
bracis-28397	1	87	library	library	PROPN
bracis-28397	1	88	download	download	PROPN
bracis-28397	1	89	book	book	NOUN
bracis-28397	1	90	pdf	pdf	PROPN
bracis-28397	1	91	download	download	NOUN
bracis-28397	1	92	book	book	NOUN
bracis-28397	1	93	epub	epub	PROPN
bracis-28397	1	94	intelligent	intelligent	ADJ
bracis-28397	1	95	systems	system	NOUN
bracis-28397	1	96	(	(	PUNCT
bracis-28397	1	97	bracis	bracis	NOUN
bracis-28397	1	98	2023	2023	NUM
bracis-28397	1	99	)	)	PUNCT
bracis-28397	1	100	a	a	DET
bracis-28397	1	101	feature	feature	NOUN
bracis-28397	1	102	-	-	PUNCT
bracis-28397	1	103	based	base	VERB
bracis-28397	1	104	out	out	ADP
bracis-28397	1	105	-	-	PUNCT
bracis-28397	1	106	of	of	ADP
bracis-28397	1	107	-	-	PUNCT
bracis-28397	1	108	distribution	distribution	NOUN
bracis-28397	1	109	detection	detection	NOUN
bracis-28397	1	110	approach	approach	NOUN
bracis-28397	1	111	in	in	ADP
bracis-28397	1	112	 	 	SPACE
bracis-28397	1	113	skin	skin	NOUN
bracis-28397	1	114	lesion	lesion	NOUN
bracis-28397	1	115	classification	classification	NOUN
bracis-28397	1	116	download	download	NOUN
bracis-28397	1	117	book	book	NOUN
bracis-28397	1	118	pdf	pdf	PROPN
bracis-28397	1	119	download	download	NOUN
bracis-28397	1	120	book	book	PROPN
bracis-28397	1	121	epub	epub	PROPN
bracis-28397	1	122	thiago	thiago	PROPN
bracis-28397	1	123	carvalho	carvalho	PROPN
bracis-28397	1	124	  	  	SPACE
bracis-28397	1	125	orcid	orcid	NOUN
bracis-28397	1	126	:	:	PUNCT
bracis-28397	1	127	orcid.org/0000-0001-8689-14389	orcid.org/0000-0001-8689-14389	NOUN
bracis-28397	1	128	,	,	PUNCT
bracis-28397	1	129	marley	marley	PROPN
bracis-28397	1	130	vellasco	vellasco	PROPN
bracis-28397	1	131	  	  	SPACE
bracis-28397	1	132	orcid	orcid	NOUN
bracis-28397	1	133	:	:	PUNCT
bracis-28397	1	134	orcid.org/0000-0002-9790-13289	orcid.org/0000-0002-9790-13289	ADV
bracis-28397	1	135	,	,	PUNCT
bracis-28397	1	136	josé	josé	PROPN
bracis-28397	1	137	franco	franco	PROPN
bracis-28397	1	138	amaral	amaral	PROPN
bracis-28397	1	139	  	  	SPACE
bracis-28397	1	140	orcid	orcid	NOUN
bracis-28397	1	141	:	:	PUNCT
bracis-28397	1	142	orcid.org/0000-0003-4951-853210	orcid.org/0000-0003-4951-853210	PROPN
bracis-28397	1	143	&	&	CCONJ
bracis-28397	1	144	…	…	PUNCT
bracis-28397	1	145	karla	karla	PROPN
bracis-28397	1	146	figueiredo	figueiredo	PROPN
bracis-28397	1	147	  	  	SPACE
bracis-28397	1	148	orcid	orcid	NOUN
bracis-28397	1	149	:	:	PUNCT
bracis-28397	1	150	orcid.org/0000-0001-8420-393710	orcid.org/0000-0001-8420-393710	NOUN
bracis-28397	1	151	  	  	SPACE
bracis-28397	1	152	show	show	VERB
bracis-28397	1	153	authors	author	NOUN
bracis-28397	1	154	part	part	NOUN
bracis-28397	1	155	of	of	ADP
bracis-28397	1	156	the	the	DET
bracis-28397	1	157	book	book	NOUN
bracis-28397	1	158	series	series	NOUN
bracis-28397	1	159	:	:	PUNCT
bracis-28397	1	160	lecture	lecture	NOUN
bracis-28397	1	161	notes	note	NOUN
bracis-28397	1	162	in	in	ADP
bracis-28397	1	163	computer	computer	NOUN
bracis-28397	1	164	science	science	NOUN
bracis-28397	1	165	(	(	PUNCT
bracis-28397	1	166	(	(	PUNCT
bracis-28397	1	167	lnai	lnai	ADJ
bracis-28397	1	168	,	,	PUNCT
bracis-28397	1	169	volume	volume	NOUN
bracis-28397	1	170	14196	14196	NUM
bracis-28397	1	171	)	)	PUNCT
bracis-28397	1	172	)	)	PUNCT
bracis-28397	1	173	included	include	VERB
bracis-28397	1	174	in	in	ADP
bracis-28397	1	175	the	the	DET
bracis-28397	1	176	following	follow	VERB
bracis-28397	1	177	conference	conference	NOUN
bracis-28397	1	178	series	series	NOUN
bracis-28397	1	179	:	:	PUNCT
bracis-28397	1	180	brazilian	brazilian	ADJ
bracis-28397	1	181	conference	conference	NOUN
bracis-28397	1	182	on	on	ADP
bracis-28397	1	183	intelligent	intelligent	ADJ
bracis-28397	1	184	systems	system	NOUN
bracis-28397	1	185	542	542	NUM
bracis-28397	1	186	accesses	access	NOUN
bracis-28397	1	187	1	1	NUM
bracis-28397	1	188	citation	citation	NOUN
bracis-28397	1	189	abstract	abstract	NOUN
bracis-28397	1	190	when	when	SCONJ
bracis-28397	1	191	dealing	deal	VERB
bracis-28397	1	192	with	with	ADP
bracis-28397	1	193	deep	deep	ADJ
bracis-28397	1	194	learning	learning	NOUN
bracis-28397	1	195	applications	application	NOUN
bracis-28397	1	196	in	in	ADP
bracis-28397	1	197	open	open	ADJ
bracis-28397	1	198	-	-	PUNCT
bracis-28397	1	199	set	set	VERB
bracis-28397	1	200	problems	problem	NOUN
bracis-28397	1	201	,	,	PUNCT
bracis-28397	1	202	accurately	accurately	ADV
bracis-28397	1	203	classifying	classify	VERB
bracis-28397	1	204	known	known	ADJ
bracis-28397	1	205	classes	class	NOUN
bracis-28397	1	206	seen	see	VERB
bracis-28397	1	207	in	in	ADP
bracis-28397	1	208	the	the	DET
bracis-28397	1	209	training	training	NOUN
bracis-28397	1	210	phase	phase	NOUN
bracis-28397	1	211	is	be	AUX
bracis-28397	1	212	not	not	PART
bracis-28397	1	213	the	the	DET
bracis-28397	1	214	only	only	ADJ
bracis-28397	1	215	aspect	aspect	NOUN
bracis-28397	1	216	to	to	PART
bracis-28397	1	217	be	be	AUX
bracis-28397	1	218	taken	take	VERB
bracis-28397	1	219	into	into	ADP
bracis-28397	1	220	account	account	NOUN
bracis-28397	1	221	.	.	PUNCT
bracis-28397	2	1	in	in	ADP
bracis-28397	2	2	such	such	DET
bracis-28397	2	3	a	a	DET
bracis-28397	2	4	context	context	NOUN
bracis-28397	2	5	,	,	PUNCT
bracis-28397	2	6	detecting	detect	VERB
bracis-28397	2	7	out	out	ADP
bracis-28397	2	8	-	-	PUNCT
bracis-28397	2	9	of	of	ADP
bracis-28397	2	10	-	-	PUNCT
bracis-28397	2	11	distribution	distribution	NOUN
bracis-28397	2	12	(	(	PUNCT
bracis-28397	2	13	ood	ood	NOUN
bracis-28397	2	14	)	)	PUNCT
bracis-28397	2	15	samples	sample	NOUN
bracis-28397	2	16	plays	play	VERB
bracis-28397	2	17	an	an	DET
bracis-28397	2	18	important	important	ADJ
bracis-28397	2	19	role	role	NOUN
bracis-28397	2	20	as	as	ADP
bracis-28397	2	21	an	an	DET
bracis-28397	2	22	auxiliary	auxiliary	ADJ
bracis-28397	2	23	task	task	NOUN
bracis-28397	2	24	,	,	PUNCT
bracis-28397	2	25	generally	generally	ADV
bracis-28397	2	26	solved	solve	VERB
bracis-28397	2	27	by	by	ADP
bracis-28397	2	28	ood	ood	PROPN
bracis-28397	2	29	detection	detection	NOUN
bracis-28397	2	30	methods	method	NOUN
bracis-28397	2	31	.	.	PUNCT
bracis-28397	3	1	for	for	ADP
bracis-28397	3	2	medical	medical	ADJ
bracis-28397	3	3	applications	application	NOUN
bracis-28397	3	4	,	,	PUNCT
bracis-28397	3	5	detecting	detect	VERB
bracis-28397	3	6	unknown	unknown	ADJ
bracis-28397	3	7	samples	sample	NOUN
bracis-28397	3	8	may	may	AUX
bracis-28397	3	9	in	in	ADP
bracis-28397	3	10	classification	classification	NOUN
bracis-28397	3	11	problems	problem	NOUN
bracis-28397	3	12	can	can	AUX
bracis-28397	3	13	be	be	AUX
bracis-28397	3	14	beneficial	beneficial	ADJ
bracis-28397	3	15	for	for	ADP
bracis-28397	3	16	many	many	ADJ
bracis-28397	3	17	aspects	aspect	NOUN
bracis-28397	3	18	,	,	PUNCT
bracis-28397	3	19	such	such	ADJ
bracis-28397	3	20	as	as	ADP
bracis-28397	3	21	a	a	DET
bracis-28397	3	22	better	well	ADJ
bracis-28397	3	23	understanding	understanding	NOUN
bracis-28397	3	24	of	of	ADP
bracis-28397	3	25	the	the	DET
bracis-28397	3	26	diagnosis	diagnosis	NOUN
bracis-28397	3	27	and	and	CCONJ
bracis-28397	3	28	probably	probably	ADV
bracis-28397	3	29	a	a	DET
bracis-28397	3	30	more	more	ADV
bracis-28397	3	31	adequate	adequate	ADJ
bracis-28397	3	32	treatment	treatment	NOUN
bracis-28397	3	33	.	.	PUNCT
bracis-28397	4	1	in	in	ADP
bracis-28397	4	2	this	this	DET
bracis-28397	4	3	article	article	NOUN
bracis-28397	4	4	,	,	PUNCT
bracis-28397	4	5	we	we	PRON
bracis-28397	4	6	evaluate	evaluate	VERB
bracis-28397	4	7	a	a	DET
bracis-28397	4	8	feature	feature	NOUN
bracis-28397	4	9	space	space	NOUN
bracis-28397	4	10	-	-	PUNCT
bracis-28397	4	11	based	base	VERB
bracis-28397	4	12	approach	approach	NOUN
bracis-28397	4	13	,	,	PUNCT
bracis-28397	4	14	named	name	VERB
bracis-28397	4	15	as	as	ADP
bracis-28397	4	16	openpcs	openpc	NOUN
bracis-28397	4	17	-	-	PUNCT
bracis-28397	4	18	class	class	NOUN
bracis-28397	4	19	,	,	PUNCT
bracis-28397	4	20	for	for	ADP
bracis-28397	4	21	ood	ood	PROPN
bracis-28397	4	22	detection	detection	NOUN
bracis-28397	4	23	in	in	ADP
bracis-28397	4	24	medical	medical	ADJ
bracis-28397	4	25	applications	application	NOUN
bracis-28397	4	26	,	,	PUNCT
bracis-28397	4	27	more	more	ADV
bracis-28397	4	28	specifically	specifically	ADV
bracis-28397	4	29	skin	skin	NOUN
bracis-28397	4	30	lesion	lesion	NOUN
bracis-28397	4	31	classification	classification	NOUN
bracis-28397	4	32	.	.	PUNCT
bracis-28397	5	1	we	we	PRON
bracis-28397	5	2	compare	compare	VERB
bracis-28397	5	3	the	the	DET
bracis-28397	5	4	openpcs	openpc	NOUN
bracis-28397	5	5	-	-	PUNCT
bracis-28397	5	6	class	class	NOUN
bracis-28397	5	7	against	against	ADP
bracis-28397	5	8	important	important	ADJ
bracis-28397	5	9	ood	ood	PROPN
bracis-28397	5	10	detection	detection	NOUN
bracis-28397	5	11	methods	method	NOUN
bracis-28397	5	12	,	,	PUNCT
bracis-28397	5	13	evaluating	evaluate	VERB
bracis-28397	5	14	different	different	ADJ
bracis-28397	5	15	model	model	NOUN
bracis-28397	5	16	architectures	architecture	NOUN
bracis-28397	5	17	and	and	CCONJ
bracis-28397	5	18	ood	ood	PROPN
bracis-28397	5	19	datasets	dataset	NOUN
bracis-28397	5	20	.	.	PUNCT
bracis-28397	6	1	the	the	DET
bracis-28397	6	2	openpcs	openpcs	PROPN
bracis-28397	6	3	-	-	PUNCT
bracis-28397	6	4	class	class	NOUN
bracis-28397	6	5	outperformed	outperform	VERB
bracis-28397	6	6	other	other	ADJ
bracis-28397	6	7	methods	method	NOUN
bracis-28397	6	8	at	at	ADP
bracis-28397	6	9	48.4	48.4	NUM
bracis-28397	6	10	%	%	NOUN
bracis-28397	6	11	and	and	CCONJ
bracis-28397	6	12	5.3	5.3	NUM
bracis-28397	6	13	%	%	NOUN
bracis-28397	6	14	in	in	ADP
bracis-28397	6	15	terms	term	NOUN
bracis-28397	6	16	of	of	ADP
bracis-28397	6	17	fpr95	fpr95	ADJ
bracis-28397	6	18	and	and	CCONJ
bracis-28397	6	19	auroc	auroc	NOUN
bracis-28397	6	20	,	,	PUNCT
bracis-28397	6	21	respectively	respectively	ADV
bracis-28397	6	22	.	.	PUNCT
bracis-28397	7	1	access	access	NOUN
bracis-28397	7	2	provided	provide	VERB
bracis-28397	7	3	by	by	ADP
bracis-28397	7	4	university	university	PROPN
bracis-28397	7	5	of	of	ADP
bracis-28397	7	6	notre	notre	PROPN
bracis-28397	7	7	dame	dame	PROPN
bracis-28397	7	8	hesburgh	hesburgh	PROPN
bracis-28397	7	9	library	library	PROPN
bracis-28397	7	10	.	.	PUNCT
bracis-28397	8	1	download	download	PROPN
bracis-28397	8	2	conference	conference	NOUN
bracis-28397	8	3	paper	paper	NOUN
bracis-28397	8	4	pdf	pdf	NOUN
bracis-28397	8	5	similar	similar	ADJ
bracis-28397	8	6	content	content	NOUN
bracis-28397	8	7	being	be	AUX
bracis-28397	8	8	viewed	view	VERB
bracis-28397	8	9	by	by	ADP
bracis-28397	8	10	others	other	NOUN
bracis-28397	8	11	out	out	ADP
bracis-28397	8	12	-	-	PUNCT
bracis-28397	8	13	of	of	ADP
bracis-28397	8	14	-	-	PUNCT
bracis-28397	8	15	distribution	distribution	NOUN
bracis-28397	8	16	detection	detection	NOUN
bracis-28397	8	17	for	for	ADP
bracis-28397	8	18	 	 	SPACE
bracis-28397	8	19	long	long	ADV
bracis-28397	8	20	-	-	PUNCT
bracis-28397	8	21	tailed	tail	VERB
bracis-28397	8	22	and	and	CCONJ
bracis-28397	8	23	 	 	SPACE
bracis-28397	8	24	fine	fine	ADV
bracis-28397	8	25	-	-	PUNCT
bracis-28397	8	26	grained	grain	VERB
bracis-28397	8	27	skin	skin	NOUN
bracis-28397	8	28	lesion	lesion	NOUN
bracis-28397	8	29	images	image	NOUN
bracis-28397	8	30	chapter	chapter	NOUN
bracis-28397	8	31	©	©	ADP
bracis-28397	8	32	2022	2022	NUM
bracis-28397	8	33	out	out	ADP
bracis-28397	8	34	-	-	PUNCT
bracis-28397	8	35	of	of	ADP
bracis-28397	8	36	-	-	PUNCT
bracis-28397	8	37	distribution	distribution	NOUN
bracis-28397	8	38	detection	detection	NOUN
bracis-28397	8	39	for	for	ADP
bracis-28397	8	40	skin	skin	NOUN
bracis-28397	8	41	lesion	lesion	NOUN
bracis-28397	8	42	images	image	NOUN
bracis-28397	8	43	with	with	ADP
bracis-28397	8	44	deep	deep	ADJ
bracis-28397	8	45	isolation	isolation	NOUN
bracis-28397	8	46	forest	forest	NOUN
bracis-28397	8	47	chapter	chapter	NOUN
bracis-28397	8	48	©	©	PROPN
bracis-28397	8	49	2020	2020	NUM
bracis-28397	8	50	exploring	explore	VERB
bracis-28397	8	51	distribution	distribution	NOUN
bracis-28397	8	52	-	-	PUNCT
bracis-28397	8	53	based	base	VERB
bracis-28397	8	54	approaches	approach	NOUN
bracis-28397	8	55	for	for	ADP
bracis-28397	8	56	out	out	ADV
bracis-28397	8	57	-	-	PUNCT
bracis-28397	8	58	of	of	ADP
bracis-28397	8	59	-	-	PUNCT
bracis-28397	8	60	distribution	distribution	NOUN
bracis-28397	8	61	detection	detection	NOUN
bracis-28397	8	62	in	in	ADP
bracis-28397	8	63	deep	deep	ADJ
bracis-28397	8	64	learning	learning	NOUN
bracis-28397	8	65	models	model	NOUN
bracis-28397	8	66	article	article	NOUN
bracis-28397	8	67	28	28	NUM
bracis-28397	8	68	december	december	PROPN
bracis-28397	8	69	2024	2024	NUM
bracis-28397	8	70	explore	explore	VERB
bracis-28397	8	71	related	relate	VERB
bracis-28397	8	72	subjects	subject	NOUN
bracis-28397	8	73	discover	discover	VERB
bracis-28397	8	74	the	the	DET
bracis-28397	8	75	latest	late	ADJ
bracis-28397	8	76	articles	article	NOUN
bracis-28397	8	77	,	,	PUNCT
bracis-28397	8	78	books	book	NOUN
bracis-28397	8	79	and	and	CCONJ
bracis-28397	8	80	news	news	NOUN
bracis-28397	8	81	in	in	ADP
bracis-28397	8	82	related	related	ADJ
bracis-28397	8	83	subjects	subject	NOUN
bracis-28397	8	84	,	,	PUNCT
bracis-28397	8	85	suggested	suggest	VERB
bracis-28397	8	86	using	use	VERB
bracis-28397	8	87	machine	machine	NOUN
bracis-28397	8	88	learning	learning	NOUN
bracis-28397	8	89	.	.	PUNCT
bracis-28397	9	1	automated	automate	VERB
bracis-28397	9	2	pattern	pattern	NOUN
bracis-28397	9	3	recognition	recognition	NOUN
bracis-28397	9	4	categorization	categorization	NOUN
bracis-28397	9	5	computer	computer	NOUN
bracis-28397	9	6	vision	vision	NOUN
bracis-28397	9	7	machine	machine	NOUN
bracis-28397	9	8	learning	learn	VERB
bracis-28397	9	9	object	object	NOUN
bracis-28397	9	10	recognition	recognition	NOUN
bracis-28397	9	11	statistical	statistical	ADJ
bracis-28397	9	12	learning	learning	NOUN
bracis-28397	9	13	1	1	NUM
bracis-28397	9	14	introduction	introduction	NOUN
bracis-28397	9	15	deep	deep	ADJ
bracis-28397	9	16	learning	learning	NOUN
bracis-28397	9	17	(	(	PUNCT
bracis-28397	9	18	dl	dl	NOUN
bracis-28397	9	19	)	)	PUNCT
bracis-28397	9	20	models	model	NOUN
bracis-28397	9	21	have	have	AUX
bracis-28397	9	22	found	find	VERB
bracis-28397	9	23	widespread	widespread	ADJ
bracis-28397	9	24	use	use	NOUN
bracis-28397	9	25	in	in	ADP
bracis-28397	9	26	various	various	ADJ
bracis-28397	9	27	applications	application	NOUN
bracis-28397	9	28	,	,	PUNCT
bracis-28397	9	29	ranging	range	VERB
bracis-28397	9	30	from	from	ADP
bracis-28397	9	31	autonomous	autonomous	ADJ
bracis-28397	9	32	driving	driving	NOUN
bracis-28397	9	33	[	[	X
bracis-28397	9	34	19	19	NUM
bracis-28397	9	35	]	]	PUNCT
bracis-28397	9	36	and	and	CCONJ
bracis-28397	9	37	pest	pest	VERB
bracis-28397	9	38	detection	detection	NOUN
bracis-28397	9	39	to	to	ADP
bracis-28397	9	40	speech	speech	NOUN
bracis-28397	9	41	recognition	recognition	NOUN
bracis-28397	10	1	[	[	X
bracis-28397	10	2	26	26	NUM
bracis-28397	10	3	]	]	PUNCT
bracis-28397	10	4	.	.	PUNCT
bracis-28397	11	1	despite	despite	SCONJ
bracis-28397	11	2	its	its	PRON
bracis-28397	11	3	outstanding	outstanding	ADJ
bracis-28397	11	4	results	result	NOUN
bracis-28397	11	5	in	in	ADP
bracis-28397	11	6	tasks	task	NOUN
bracis-28397	11	7	related	relate	VERB
bracis-28397	11	8	to	to	ADP
bracis-28397	11	9	computer	computer	NOUN
bracis-28397	11	10	vision	vision	NOUN
bracis-28397	11	11	and	and	CCONJ
bracis-28397	11	12	natural	natural	ADJ
bracis-28397	11	13	language	language	NOUN
bracis-28397	11	14	processing	processing	NOUN
bracis-28397	11	15	,	,	PUNCT
bracis-28397	11	16	accuracy	accuracy	NOUN
bracis-28397	11	17	is	be	AUX
bracis-28397	11	18	not	not	PART
bracis-28397	11	19	the	the	DET
bracis-28397	11	20	only	only	ADJ
bracis-28397	11	21	subject	subject	NOUN
bracis-28397	11	22	to	to	PART
bracis-28397	11	23	be	be	AUX
bracis-28397	11	24	taken	take	VERB
bracis-28397	11	25	into	into	ADP
bracis-28397	11	26	consideration	consideration	NOUN
bracis-28397	11	27	in	in	ADP
bracis-28397	11	28	a	a	DET
bracis-28397	11	29	dl	dl	PROPN
bracis-28397	11	30	deployment	deployment	NOUN
bracis-28397	11	31	[	[	X
bracis-28397	11	32	10	10	NUM
bracis-28397	11	33	]	]	PUNCT
bracis-28397	11	34	.	.	PUNCT
bracis-28397	12	1	depending	depend	VERB
bracis-28397	12	2	on	on	ADP
bracis-28397	12	3	the	the	DET
bracis-28397	12	4	problem	problem	NOUN
bracis-28397	12	5	,	,	PUNCT
bracis-28397	12	6	other	other	ADJ
bracis-28397	12	7	aspects	aspect	NOUN
bracis-28397	12	8	may	may	AUX
bracis-28397	12	9	also	also	ADV
bracis-28397	12	10	become	become	VERB
bracis-28397	12	11	important	important	ADJ
bracis-28397	12	12	,	,	PUNCT
bracis-28397	12	13	such	such	ADJ
bracis-28397	12	14	as	as	ADP
bracis-28397	12	15	the	the	DET
bracis-28397	12	16	explainability	explainability	NOUN
bracis-28397	12	17	and	and	CCONJ
bracis-28397	12	18	the	the	DET
bracis-28397	12	19	capability	capability	NOUN
bracis-28397	12	20	to	to	PART
bracis-28397	12	21	handle	handle	VERB
bracis-28397	12	22	samples	sample	NOUN
bracis-28397	12	23	from	from	ADP
bracis-28397	12	24	unknown	unknown	ADJ
bracis-28397	12	25	classes	class	NOUN
bracis-28397	12	26	[	[	X
bracis-28397	12	27	34	34	NUM
bracis-28397	12	28	]	]	PUNCT
bracis-28397	12	29	.	.	PUNCT
bracis-28397	13	1	the	the	DET
bracis-28397	13	2	dl	dl	PROPN
bracis-28397	13	3	models	model	NOUN
bracis-28397	13	4	are	be	AUX
bracis-28397	13	5	known	know	VERB
bracis-28397	13	6	to	to	PART
bracis-28397	13	7	learn	learn	VERB
bracis-28397	13	8	generally	generally	ADV
bracis-28397	13	9	in	in	ADP
bracis-28397	13	10	closed	closed	ADJ
bracis-28397	13	11	-	-	PUNCT
bracis-28397	13	12	set	set	VERB
bracis-28397	13	13	assumptions	assumption	NOUN
bracis-28397	13	14	,	,	PUNCT
bracis-28397	13	15	and	and	CCONJ
bracis-28397	13	16	such	such	ADJ
bracis-28397	13	17	out	out	ADP
bracis-28397	13	18	-	-	PUNCT
bracis-28397	13	19	domain	domain	NOUN
bracis-28397	13	20	restrictions	restriction	NOUN
bracis-28397	13	21	are	be	AUX
bracis-28397	13	22	reflected	reflect	VERB
bracis-28397	13	23	in	in	ADP
bracis-28397	13	24	their	their	PRON
bracis-28397	13	25	inefficiency	inefficiency	NOUN
bracis-28397	13	26	in	in	ADP
bracis-28397	13	27	explicitly	explicitly	ADV
bracis-28397	13	28	showing	show	VERB
bracis-28397	13	29	ignorance	ignorance	NOUN
bracis-28397	13	30	about	about	ADP
bracis-28397	13	31	input	input	NOUN
bracis-28397	13	32	samples	sample	NOUN
bracis-28397	13	33	from	from	ADP
bracis-28397	13	34	unseen	unseen	ADJ
bracis-28397	13	35	classes	class	NOUN
bracis-28397	13	36	.	.	PUNCT
bracis-28397	14	1	as	as	ADP
bracis-28397	14	2	a	a	DET
bracis-28397	14	3	result	result	NOUN
bracis-28397	14	4	,	,	PUNCT
bracis-28397	14	5	a	a	DET
bracis-28397	14	6	dl	dl	PROPN
bracis-28397	14	7	model	model	NOUN
bracis-28397	14	8	trained	train	VERB
bracis-28397	14	9	in	in	ADP
bracis-28397	14	10	such	such	DET
bracis-28397	14	11	a	a	DET
bracis-28397	14	12	setup	setup	NOUN
bracis-28397	14	13	is	be	AUX
bracis-28397	14	14	often	often	ADV
bracis-28397	14	15	unable	unable	ADJ
bracis-28397	14	16	to	to	PART
bracis-28397	14	17	identify	identify	VERB
bracis-28397	14	18	an	an	DET
bracis-28397	14	19	unknown	unknown	ADJ
bracis-28397	14	20	class	class	NOUN
bracis-28397	14	21	data	datum	NOUN
bracis-28397	14	22	as	as	ADP
bracis-28397	14	23	unknown	unknown	ADJ
bracis-28397	14	24	,	,	PUNCT
bracis-28397	14	25	which	which	PRON
bracis-28397	14	26	leads	lead	VERB
bracis-28397	14	27	to	to	ADP
bracis-28397	14	28	problems	problem	NOUN
bracis-28397	14	29	of	of	ADP
bracis-28397	14	30	model	model	NOUN
bracis-28397	14	31	overconfidence	overconfidence	NOUN
bracis-28397	14	32	[	[	X
bracis-28397	14	33	32	32	NUM
bracis-28397	14	34	]	]	PUNCT
bracis-28397	14	35	.	.	PUNCT
bracis-28397	15	1	the	the	DET
bracis-28397	15	2	overconfidence	overconfidence	NOUN
bracis-28397	15	3	has	have	VERB
bracis-28397	15	4	several	several	ADJ
bracis-28397	15	5	natures	nature	NOUN
bracis-28397	15	6	,	,	PUNCT
bracis-28397	15	7	such	such	ADJ
bracis-28397	15	8	as	as	ADP
bracis-28397	15	9	unidentified	unidentified	ADJ
bracis-28397	15	10	overfitting	overfitting	NOUN
bracis-28397	15	11	problems	problem	NOUN
bracis-28397	15	12	,	,	PUNCT
bracis-28397	15	13	bias	bias	NOUN
bracis-28397	15	14	,	,	PUNCT
bracis-28397	15	15	or	or	CCONJ
bracis-28397	15	16	even	even	ADV
bracis-28397	15	17	the	the	DET
bracis-28397	15	18	choice	choice	NOUN
bracis-28397	15	19	of	of	ADP
bracis-28397	15	20	the	the	DET
bracis-28397	15	21	softmax	softmax	NOUN
bracis-28397	15	22	function	function	NOUN
bracis-28397	15	23	for	for	ADP
bracis-28397	15	24	the	the	DET
bracis-28397	15	25	model	model	NOUN
bracis-28397	15	26	’s	’s	PART
bracis-28397	15	27	output	output	NOUN
bracis-28397	15	28	layer	layer	NOUN
bracis-28397	15	29	,	,	PUNCT
bracis-28397	15	30	making	make	VERB
bracis-28397	15	31	directly	directly	ADV
bracis-28397	15	32	identifying	identify	VERB
bracis-28397	15	33	unknown	unknown	ADJ
bracis-28397	15	34	samples	sample	NOUN
bracis-28397	15	35	more	more	ADV
bracis-28397	15	36	difficult	difficult	ADJ
bracis-28397	15	37	[	[	X
bracis-28397	15	38	34	34	NUM
bracis-28397	15	39	]	]	PUNCT
bracis-28397	15	40	.	.	PUNCT
bracis-28397	16	1	therefore	therefore	ADV
bracis-28397	16	2	,	,	PUNCT
bracis-28397	16	3	the	the	DET
bracis-28397	16	4	model	model	NOUN
bracis-28397	16	5	needs	need	VERB
bracis-28397	16	6	to	to	PART
bracis-28397	16	7	be	be	AUX
bracis-28397	16	8	robust	robust	ADJ
bracis-28397	16	9	and	and	CCONJ
bracis-28397	16	10	able	able	ADJ
bracis-28397	16	11	to	to	PART
bracis-28397	16	12	handle	handle	VERB
bracis-28397	16	13	out	out	ADV
bracis-28397	16	14	-	-	PUNCT
bracis-28397	16	15	of	of	ADP
bracis-28397	16	16	-	-	PUNCT
bracis-28397	16	17	distribution	distribution	NOUN
bracis-28397	16	18	(	(	PUNCT
bracis-28397	16	19	ood	ood	NOUN
bracis-28397	16	20	)	)	PUNCT
bracis-28397	16	21	samples	sample	NOUN
bracis-28397	16	22	,	,	PUNCT
bracis-28397	16	23	which	which	PRON
bracis-28397	16	24	can	can	AUX
bracis-28397	16	25	come	come	VERB
bracis-28397	16	26	in	in	ADP
bracis-28397	16	27	various	various	ADJ
bracis-28397	16	28	forms	form	NOUN
bracis-28397	16	29	depending	depend	VERB
bracis-28397	16	30	on	on	ADP
bracis-28397	16	31	the	the	DET
bracis-28397	16	32	problem	problem	NOUN
bracis-28397	16	33	.	.	PUNCT
bracis-28397	17	1	for	for	ADP
bracis-28397	17	2	medical	medical	ADJ
bracis-28397	17	3	applications	application	NOUN
bracis-28397	17	4	,	,	PUNCT
bracis-28397	17	5	ood	ood	PROPN
bracis-28397	17	6	detection	detection	PROPN
bracis-28397	17	7	is	be	AUX
bracis-28397	17	8	an	an	DET
bracis-28397	17	9	important	important	ADJ
bracis-28397	17	10	auxiliary	auxiliary	ADJ
bracis-28397	17	11	task	task	NOUN
bracis-28397	17	12	to	to	PART
bracis-28397	17	13	improve	improve	VERB
bracis-28397	17	14	the	the	DET
bracis-28397	17	15	ability	ability	NOUN
bracis-28397	17	16	to	to	PART
bracis-28397	17	17	detect	detect	VERB
bracis-28397	17	18	unseen	unseen	ADJ
bracis-28397	17	19	classes	class	NOUN
bracis-28397	17	20	in	in	ADP
bracis-28397	17	21	an	an	DET
bracis-28397	17	22	open	open	ADJ
bracis-28397	17	23	-	-	PUNCT
bracis-28397	17	24	set	set	VERB
bracis-28397	17	25	problem	problem	NOUN
bracis-28397	17	26	.	.	PUNCT
bracis-28397	18	1	for	for	ADP
bracis-28397	18	2	example	example	NOUN
bracis-28397	18	3	,	,	PUNCT
bracis-28397	18	4	when	when	SCONJ
bracis-28397	18	5	classifying	classify	VERB
bracis-28397	18	6	an	an	DET
bracis-28397	18	7	unseen	unseen	ADJ
bracis-28397	18	8	rare	rare	ADJ
bracis-28397	18	9	skin	skin	NOUN
bracis-28397	18	10	lesion	lesion	NOUN
bracis-28397	18	11	using	use	VERB
bracis-28397	18	12	a	a	DET
bracis-28397	18	13	dl	dl	PROPN
bracis-28397	18	14	model	model	NOUN
bracis-28397	18	15	to	to	PART
bracis-28397	18	16	classify	classify	VERB
bracis-28397	18	17	skin	skin	NOUN
bracis-28397	18	18	lesions	lesion	NOUN
bracis-28397	18	19	,	,	PUNCT
bracis-28397	18	20	it	it	PRON
bracis-28397	18	21	would	would	AUX
bracis-28397	18	22	be	be	AUX
bracis-28397	18	23	preferable	preferable	ADJ
bracis-28397	18	24	to	to	PART
bracis-28397	18	25	identify	identify	VERB
bracis-28397	18	26	it	it	PRON
bracis-28397	18	27	as	as	ADV
bracis-28397	18	28	unknown	unknown	ADJ
bracis-28397	18	29	instead	instead	ADV
bracis-28397	18	30	of	of	ADP
bracis-28397	18	31	erroneously	erroneously	ADV
bracis-28397	18	32	classifying	classify	VERB
bracis-28397	18	33	it	it	PRON
bracis-28397	18	34	as	as	ADP
bracis-28397	18	35	one	one	NUM
bracis-28397	18	36	of	of	ADP
bracis-28397	18	37	the	the	DET
bracis-28397	18	38	known	know	VERB
bracis-28397	18	39	classes	class	NOUN
bracis-28397	18	40	[	[	X
bracis-28397	18	41	25	25	NUM
bracis-28397	18	42	,	,	PUNCT
bracis-28397	18	43	36	36	NUM
bracis-28397	18	44	]	]	PUNCT
bracis-28397	18	45	.	.	PUNCT
bracis-28397	19	1	therefore	therefore	ADV
bracis-28397	19	2	,	,	PUNCT
bracis-28397	19	3	the	the	DET
bracis-28397	19	4	ood	ood	PROPN
bracis-28397	19	5	detection	detection	PROPN
bracis-28397	19	6	task	task	NOUN
bracis-28397	19	7	has	have	AUX
bracis-28397	19	8	drawn	draw	VERB
bracis-28397	19	9	attention	attention	NOUN
bracis-28397	19	10	to	to	ADP
bracis-28397	19	11	a	a	DET
bracis-28397	19	12	wide	wide	ADJ
bracis-28397	19	13	range	range	NOUN
bracis-28397	19	14	of	of	ADP
bracis-28397	19	15	applications	application	NOUN
bracis-28397	19	16	,	,	PUNCT
bracis-28397	19	17	such	such	ADJ
bracis-28397	19	18	as	as	ADP
bracis-28397	19	19	histopathology	histopathology	NOUN
bracis-28397	19	20	[	[	X
bracis-28397	19	21	22	22	NUM
bracis-28397	19	22	]	]	PUNCT
bracis-28397	19	23	,	,	PUNCT
bracis-28397	19	24	x	x	X
bracis-28397	19	25	-	-	NOUN
bracis-28397	19	26	ray	ray	NOUN
bracis-28397	19	27	[	[	X
bracis-28397	19	28	3	3	NUM
bracis-28397	19	29	]	]	PUNCT
bracis-28397	19	30	,	,	PUNCT
bracis-28397	19	31	and	and	CCONJ
bracis-28397	19	32	magnetic	magnetic	ADJ
bracis-28397	19	33	resonance	resonance	NOUN
bracis-28397	19	34	images	image	NOUN
bracis-28397	19	35	[	[	X
bracis-28397	19	36	14	14	NUM
bracis-28397	19	37	]	]	PUNCT
bracis-28397	19	38	classification	classification	NOUN
bracis-28397	19	39	problems	problem	NOUN
bracis-28397	19	40	.	.	PUNCT
bracis-28397	20	1	ood	ood	PROPN
bracis-28397	20	2	detection	detection	PROPN
bracis-28397	20	3	can	can	AUX
bracis-28397	20	4	be	be	AUX
bracis-28397	20	5	considered	consider	VERB
bracis-28397	20	6	a	a	DET
bracis-28397	20	7	recent	recent	ADJ
bracis-28397	20	8	field	field	NOUN
bracis-28397	20	9	of	of	ADP
bracis-28397	20	10	research	research	NOUN
bracis-28397	20	11	in	in	ADP
bracis-28397	20	12	the	the	DET
bracis-28397	20	13	area	area	NOUN
bracis-28397	20	14	of	of	ADP
bracis-28397	20	15	dl	dl	PROPN
bracis-28397	20	16	,	,	PUNCT
bracis-28397	20	17	having	have	VERB
bracis-28397	20	18	one	one	NUM
bracis-28397	20	19	of	of	ADP
bracis-28397	20	20	the	the	DET
bracis-28397	20	21	main	main	ADJ
bracis-28397	20	22	objectives	objective	NOUN
bracis-28397	20	23	to	to	PART
bracis-28397	20	24	improve	improve	VERB
bracis-28397	20	25	the	the	DET
bracis-28397	20	26	ability	ability	NOUN
bracis-28397	20	27	of	of	ADP
bracis-28397	20	28	models	model	NOUN
bracis-28397	20	29	to	to	PART
bracis-28397	20	30	recognize	recognize	VERB
bracis-28397	20	31	unknown	unknown	ADJ
bracis-28397	20	32	samples	sample	NOUN
bracis-28397	20	33	.	.	PUNCT
bracis-28397	21	1	in	in	ADP
bracis-28397	21	2	other	other	ADJ
bracis-28397	21	3	words	word	NOUN
bracis-28397	21	4	,	,	PUNCT
bracis-28397	21	5	an	an	DET
bracis-28397	21	6	ood	ood	PROPN
bracis-28397	21	7	detection	detection	NOUN
bracis-28397	21	8	algorithm	algorithm	NOUN
bracis-28397	21	9	should	should	AUX
bracis-28397	21	10	be	be	AUX
bracis-28397	21	11	able	able	ADJ
bracis-28397	21	12	to	to	PART
bracis-28397	21	13	identify	identify	VERB
bracis-28397	21	14	whether	whether	SCONJ
bracis-28397	21	15	an	an	DET
bracis-28397	21	16	input	input	NOUN
bracis-28397	21	17	can	can	AUX
bracis-28397	21	18	be	be	AUX
bracis-28397	21	19	considered	consider	VERB
bracis-28397	21	20	known	known	ADJ
bracis-28397	21	21	or	or	CCONJ
bracis-28397	21	22	unknown	unknown	ADJ
bracis-28397	21	23	.	.	PUNCT
bracis-28397	22	1	the	the	DET
bracis-28397	22	2	most	most	ADV
bracis-28397	22	3	straightforward	straightforward	ADJ
bracis-28397	22	4	option	option	NOUN
bracis-28397	22	5	for	for	ADP
bracis-28397	22	6	ood	ood	PROPN
bracis-28397	22	7	detection	detection	NOUN
bracis-28397	22	8	is	be	AUX
bracis-28397	22	9	to	to	PART
bracis-28397	22	10	use	use	VERB
bracis-28397	22	11	activations	activation	NOUN
bracis-28397	22	12	from	from	ADP
bracis-28397	22	13	the	the	DET
bracis-28397	22	14	model	model	NOUN
bracis-28397	22	15	’s	’s	PART
bracis-28397	22	16	output	output	NOUN
bracis-28397	22	17	layer	layer	NOUN
bracis-28397	22	18	,	,	PUNCT
bracis-28397	22	19	as	as	SCONJ
bracis-28397	22	20	this	this	PRON
bracis-28397	22	21	is	be	AUX
bracis-28397	22	22	closest	close	ADJ
bracis-28397	22	23	to	to	ADP
bracis-28397	22	24	the	the	DET
bracis-28397	22	25	final	final	ADJ
bracis-28397	22	26	inference	inference	NOUN
bracis-28397	22	27	result	result	NOUN
bracis-28397	22	28	[	[	X
bracis-28397	22	29	9	9	NUM
bracis-28397	22	30	]	]	PUNCT
bracis-28397	22	31	.	.	PUNCT
bracis-28397	23	1	these	these	DET
bracis-28397	23	2	strategies	strategy	NOUN
bracis-28397	23	3	typically	typically	ADV
bracis-28397	23	4	rely	rely	VERB
bracis-28397	23	5	on	on	ADP
bracis-28397	23	6	logits	logit	NOUN
bracis-28397	23	7	or	or	CCONJ
bracis-28397	23	8	softmax	softmax	NOUN
bracis-28397	23	9	outputs	output	NOUN
bracis-28397	23	10	to	to	PART
bracis-28397	23	11	compute	compute	VERB
bracis-28397	23	12	confidence	confidence	NOUN
bracis-28397	23	13	scores	score	NOUN
bracis-28397	23	14	,	,	PUNCT
bracis-28397	23	15	which	which	PRON
bracis-28397	23	16	are	be	AUX
bracis-28397	23	17	then	then	ADV
bracis-28397	23	18	used	use	VERB
bracis-28397	23	19	to	to	PART
bracis-28397	23	20	differentiate	differentiate	VERB
bracis-28397	23	21	between	between	ADP
bracis-28397	23	22	known	known	ADJ
bracis-28397	23	23	and	and	CCONJ
bracis-28397	23	24	unknown	unknown	ADJ
bracis-28397	23	25	classes	class	NOUN
bracis-28397	23	26	.	.	PUNCT
bracis-28397	24	1	more	more	ADV
bracis-28397	24	2	recently	recently	ADV
bracis-28397	24	3	,	,	PUNCT
bracis-28397	24	4	researchers	researcher	NOUN
bracis-28397	24	5	have	have	AUX
bracis-28397	24	6	explored	explore	VERB
bracis-28397	24	7	using	use	VERB
bracis-28397	24	8	the	the	DET
bracis-28397	24	9	feature	feature	NOUN
bracis-28397	24	10	space	space	NOUN
bracis-28397	24	11	of	of	ADP
bracis-28397	24	12	the	the	DET
bracis-28397	24	13	model	model	NOUN
bracis-28397	24	14	to	to	PART
bracis-28397	24	15	identify	identify	VERB
bracis-28397	24	16	unknown	unknown	ADJ
bracis-28397	24	17	samples	sample	NOUN
bracis-28397	24	18	,	,	PUNCT
bracis-28397	24	19	based	base	VERB
bracis-28397	24	20	on	on	ADP
bracis-28397	24	21	the	the	DET
bracis-28397	24	22	assumption	assumption	NOUN
bracis-28397	24	23	that	that	SCONJ
bracis-28397	24	24	the	the	DET
bracis-28397	24	25	feature	feature	NOUN
bracis-28397	24	26	space	space	NOUN
bracis-28397	24	27	can	can	AUX
bracis-28397	24	28	be	be	AUX
bracis-28397	24	29	useful	useful	ADJ
bracis-28397	24	30	for	for	ADP
bracis-28397	24	31	ood	ood	PROPN
bracis-28397	24	32	detection	detection	PROPN
bracis-28397	24	33	,	,	PUNCT
bracis-28397	24	34	as	as	SCONJ
bracis-28397	24	35	intermediate	intermediate	ADJ
bracis-28397	24	36	layers	layer	NOUN
bracis-28397	24	37	capture	capture	VERB
bracis-28397	24	38	different	different	ADJ
bracis-28397	24	39	levels	level	NOUN
bracis-28397	24	40	of	of	ADP
bracis-28397	24	41	semantic	semantic	ADJ
bracis-28397	24	42	features	feature	NOUN
bracis-28397	24	43	[	[	X
bracis-28397	24	44	20	20	NUM
bracis-28397	24	45	]	]	PUNCT
bracis-28397	24	46	.	.	PUNCT
bracis-28397	25	1	one	one	NUM
bracis-28397	25	2	of	of	ADP
bracis-28397	25	3	the	the	DET
bracis-28397	25	4	methods	method	NOUN
bracis-28397	25	5	is	be	AUX
bracis-28397	25	6	named	name	VERB
bracis-28397	25	7	open	open	ADJ
bracis-28397	25	8	principal	principal	ADJ
bracis-28397	25	9	component	component	NOUN
bracis-28397	25	10	score	score	NOUN
bracis-28397	25	11	(	(	PUNCT
bracis-28397	25	12	openpcs	openpc	NOUN
bracis-28397	25	13	)	)	PUNCT
bracis-28397	25	14	,	,	PUNCT
bracis-28397	25	15	which	which	PRON
bracis-28397	25	16	uses	use	VERB
bracis-28397	25	17	a	a	DET
bracis-28397	25	18	low	low	ADJ
bracis-28397	25	19	dimensional	dimensional	ADJ
bracis-28397	25	20	feature	feature	NOUN
bracis-28397	25	21	space	space	NOUN
bracis-28397	25	22	representation	representation	NOUN
bracis-28397	25	23	from	from	ADP
bracis-28397	25	24	principal	principal	ADJ
bracis-28397	25	25	component	component	NOUN
bracis-28397	25	26	analysis	analysis	NOUN
bracis-28397	25	27	(	(	PUNCT
bracis-28397	25	28	pca	pca	NOUN
bracis-28397	25	29	)	)	PUNCT
bracis-28397	25	30	to	to	PART
bracis-28397	25	31	fit	fit	VERB
bracis-28397	25	32	class	class	NOUN
bracis-28397	25	33	-	-	PUNCT
bracis-28397	25	34	wise	wise	ADJ
bracis-28397	25	35	gaussian	gaussian	ADJ
bracis-28397	25	36	distributions	distribution	NOUN
bracis-28397	25	37	to	to	PART
bracis-28397	25	38	identify	identify	VERB
bracis-28397	25	39	whether	whether	SCONJ
bracis-28397	25	40	data	datum	NOUN
bracis-28397	25	41	is	be	AUX
bracis-28397	25	42	known	know	VERB
bracis-28397	25	43	or	or	CCONJ
bracis-28397	25	44	unknown	unknown	ADJ
bracis-28397	25	45	.	.	PUNCT
bracis-28397	26	1	this	this	DET
bracis-28397	26	2	approach	approach	NOUN
bracis-28397	26	3	was	be	AUX
bracis-28397	26	4	first	first	ADV
bracis-28397	26	5	implemented	implement	VERB
bracis-28397	26	6	for	for	ADP
bracis-28397	26	7	semantic	semantic	ADJ
bracis-28397	26	8	segmentation	segmentation	NOUN
bracis-28397	26	9	problems	problem	NOUN
bracis-28397	26	10	,	,	PUNCT
bracis-28397	26	11	but	but	CCONJ
bracis-28397	26	12	it	it	PRON
bracis-28397	26	13	can	can	AUX
bracis-28397	26	14	be	be	AUX
bracis-28397	26	15	extended	extend	VERB
bracis-28397	26	16	for	for	ADP
bracis-28397	26	17	multi	multi	ADJ
bracis-28397	26	18	-	-	ADJ
bracis-28397	26	19	class	class	ADJ
bracis-28397	26	20	classification	classification	NOUN
bracis-28397	26	21	,	,	PUNCT
bracis-28397	26	22	named	name	VERB
bracis-28397	26	23	as	as	ADP
bracis-28397	26	24	openpcs	openpc	NOUN
bracis-28397	26	25	-	-	PUNCT
bracis-28397	26	26	class	class	NOUN
bracis-28397	26	27	[	[	NOUN
bracis-28397	26	28	5	5	NUM
bracis-28397	26	29	]	]	PUNCT
bracis-28397	26	30	.	.	PUNCT
bracis-28397	27	1	however	however	ADV
bracis-28397	27	2	,	,	PUNCT
bracis-28397	27	3	the	the	DET
bracis-28397	27	4	feature	feature	NOUN
bracis-28397	27	5	-	-	PUNCT
bracis-28397	27	6	space	space	NOUN
bracis-28397	27	7	approach	approach	NOUN
bracis-28397	27	8	for	for	ADP
bracis-28397	27	9	ood	ood	PROPN
bracis-28397	27	10	detection	detection	PROPN
bracis-28397	27	11	,	,	PUNCT
bracis-28397	27	12	especially	especially	ADV
bracis-28397	27	13	the	the	DET
bracis-28397	27	14	openpcs	openpc	NOUN
bracis-28397	27	15	-	-	PUNCT
bracis-28397	27	16	class	class	NOUN
bracis-28397	27	17	,	,	PUNCT
bracis-28397	27	18	is	be	AUX
bracis-28397	27	19	still	still	ADV
bracis-28397	27	20	underexplored	underexplored	ADJ
bracis-28397	27	21	for	for	ADP
bracis-28397	27	22	many	many	ADJ
bracis-28397	27	23	applications	application	NOUN
bracis-28397	27	24	.	.	PUNCT
bracis-28397	28	1	in	in	ADP
bracis-28397	28	2	this	this	DET
bracis-28397	28	3	article	article	NOUN
bracis-28397	28	4	,	,	PUNCT
bracis-28397	28	5	we	we	PRON
bracis-28397	28	6	evaluate	evaluate	VERB
bracis-28397	28	7	the	the	DET
bracis-28397	28	8	openpcs	openpc	NOUN
bracis-28397	28	9	-	-	PUNCT
bracis-28397	28	10	class	class	NOUN
bracis-28397	28	11	for	for	ADP
bracis-28397	28	12	ood	ood	PROPN
bracis-28397	28	13	detection	detection	NOUN
bracis-28397	28	14	in	in	ADP
bracis-28397	28	15	skin	skin	NOUN
bracis-28397	28	16	lesion	lesion	NOUN
bracis-28397	28	17	classification	classification	NOUN
bracis-28397	28	18	problems	problem	NOUN
bracis-28397	28	19	.	.	PUNCT
bracis-28397	29	1	the	the	DET
bracis-28397	29	2	objective	objective	NOUN
bracis-28397	29	3	is	be	AUX
bracis-28397	29	4	to	to	PART
bracis-28397	29	5	evaluate	evaluate	VERB
bracis-28397	29	6	the	the	DET
bracis-28397	29	7	capability	capability	NOUN
bracis-28397	29	8	of	of	ADP
bracis-28397	29	9	a	a	DET
bracis-28397	29	10	gaussian	gaussian	NOUN
bracis-28397	29	11	-	-	PUNCT
bracis-28397	29	12	based	base	VERB
bracis-28397	29	13	approach	approach	NOUN
bracis-28397	29	14	using	use	VERB
bracis-28397	29	15	the	the	DET
bracis-28397	29	16	feature	feature	NOUN
bracis-28397	29	17	space	space	NOUN
bracis-28397	29	18	to	to	PART
bracis-28397	29	19	identify	identify	VERB
bracis-28397	29	20	unseen	unseen	ADJ
bracis-28397	29	21	classes	class	NOUN
bracis-28397	29	22	in	in	ADP
bracis-28397	29	23	this	this	DET
bracis-28397	29	24	medical	medical	ADJ
bracis-28397	29	25	application	application	NOUN
bracis-28397	29	26	,	,	PUNCT
bracis-28397	29	27	which	which	PRON
bracis-28397	29	28	is	be	AUX
bracis-28397	29	29	usually	usually	ADV
bracis-28397	29	30	a	a	DET
bracis-28397	29	31	complex	complex	ADJ
bracis-28397	29	32	task	task	NOUN
bracis-28397	29	33	with	with	ADP
bracis-28397	29	34	numerous	numerous	ADJ
bracis-28397	29	35	ood	ood	PROPN
bracis-28397	29	36	classes	class	NOUN
bracis-28397	29	37	related	relate	VERB
bracis-28397	29	38	to	to	ADP
bracis-28397	29	39	unknown	unknown	ADJ
bracis-28397	29	40	skin	skin	NOUN
bracis-28397	29	41	lesions	lesion	NOUN
bracis-28397	29	42	.	.	PUNCT
bracis-28397	30	1	the	the	DET
bracis-28397	30	2	contribution	contribution	NOUN
bracis-28397	30	3	of	of	ADP
bracis-28397	30	4	this	this	DET
bracis-28397	30	5	work	work	NOUN
bracis-28397	30	6	is	be	AUX
bracis-28397	30	7	three	three	NUM
bracis-28397	30	8	-	-	ADJ
bracis-28397	30	9	fold	fold	ADJ
bracis-28397	30	10	:	:	PUNCT
bracis-28397	30	11	1	1	X
bracis-28397	30	12	.	.	X
bracis-28397	30	13	we	we	PRON
bracis-28397	30	14	evaluate	evaluate	VERB
bracis-28397	30	15	the	the	DET
bracis-28397	30	16	openpcs	openpc	NOUN
bracis-28397	30	17	-	-	PUNCT
bracis-28397	30	18	class	class	NOUN
bracis-28397	30	19	method	method	NOUN
bracis-28397	30	20	for	for	ADP
bracis-28397	30	21	ood	ood	PROPN
bracis-28397	30	22	detection	detection	NOUN
bracis-28397	30	23	in	in	ADP
bracis-28397	30	24	skin	skin	NOUN
bracis-28397	30	25	lesion	lesion	NOUN
bracis-28397	30	26	problems	problem	NOUN
bracis-28397	30	27	.	.	PUNCT
bracis-28397	31	1	we	we	PRON
bracis-28397	31	2	use	use	VERB
bracis-28397	31	3	different	different	ADJ
bracis-28397	31	4	ood	ood	PROPN
bracis-28397	31	5	data	datum	NOUN
bracis-28397	31	6	to	to	PART
bracis-28397	31	7	evaluate	evaluate	VERB
bracis-28397	31	8	the	the	DET
bracis-28397	31	9	approach	approach	NOUN
bracis-28397	31	10	,	,	PUNCT
bracis-28397	31	11	ranging	range	VERB
bracis-28397	31	12	from	from	ADP
bracis-28397	31	13	samples	sample	NOUN
bracis-28397	31	14	of	of	ADP
bracis-28397	31	15	unseen	unseen	ADJ
bracis-28397	31	16	classes	class	NOUN
bracis-28397	31	17	of	of	ADP
bracis-28397	31	18	skin	skin	NOUN
bracis-28397	31	19	lesions	lesion	NOUN
bracis-28397	31	20	to	to	ADP
bracis-28397	31	21	different	different	ADJ
bracis-28397	31	22	medical	medical	ADJ
bracis-28397	31	23	problems	problem	NOUN
bracis-28397	31	24	.	.	PUNCT
bracis-28397	32	1	2	2	X
bracis-28397	32	2	.	.	X
bracis-28397	32	3	we	we	PRON
bracis-28397	32	4	compare	compare	VERB
bracis-28397	32	5	the	the	DET
bracis-28397	32	6	results	result	NOUN
bracis-28397	32	7	with	with	ADP
bracis-28397	32	8	traditional	traditional	ADJ
bracis-28397	32	9	and	and	CCONJ
bracis-28397	32	10	state	state	NOUN
bracis-28397	32	11	-	-	PUNCT
bracis-28397	32	12	of	of	ADP
bracis-28397	32	13	-	-	PUNCT
bracis-28397	32	14	the	the	DET
bracis-28397	32	15	-	-	PUNCT
bracis-28397	32	16	art	art	NOUN
bracis-28397	32	17	methods	method	NOUN
bracis-28397	32	18	for	for	ADP
bracis-28397	32	19	ood	ood	PROPN
bracis-28397	32	20	detection	detection	PROPN
bracis-28397	32	21	.	.	PUNCT
bracis-28397	33	1	we	we	PRON
bracis-28397	33	2	assess	assess	VERB
bracis-28397	33	3	how	how	SCONJ
bracis-28397	33	4	these	these	DET
bracis-28397	33	5	methods	method	NOUN
bracis-28397	33	6	behave	behave	VERB
bracis-28397	33	7	in	in	ADP
bracis-28397	33	8	the	the	DET
bracis-28397	33	9	presence	presence	NOUN
bracis-28397	33	10	of	of	ADP
bracis-28397	33	11	different	different	ADJ
bracis-28397	33	12	ood	ood	PROPN
bracis-28397	33	13	classes	class	NOUN
bracis-28397	33	14	and	and	CCONJ
bracis-28397	33	15	additional	additional	ADJ
bracis-28397	33	16	i	i	PROPN
bracis-28397	33	17	d	d	PROPN
bracis-28397	33	18	data	data	PROPN
bracis-28397	33	19	.	.	PUNCT
bracis-28397	34	1	3	3	X
bracis-28397	34	2	.	.	X
bracis-28397	34	3	we	we	PRON
bracis-28397	34	4	also	also	ADV
bracis-28397	34	5	evaluate	evaluate	VERB
bracis-28397	34	6	these	these	DET
bracis-28397	34	7	models	model	NOUN
bracis-28397	34	8	in	in	ADP
bracis-28397	34	9	different	different	ADJ
bracis-28397	34	10	model	model	NOUN
bracis-28397	34	11	architectures	architecture	NOUN
bracis-28397	34	12	to	to	PART
bracis-28397	34	13	investigate	investigate	VERB
bracis-28397	34	14	the	the	DET
bracis-28397	34	15	model	model	NOUN
bracis-28397	34	16	’s	’s	PART
bracis-28397	34	17	contribution	contribution	NOUN
bracis-28397	34	18	to	to	ADP
bracis-28397	34	19	ood	ood	PROPN
bracis-28397	34	20	detection	detection	NOUN
bracis-28397	34	21	using	use	VERB
bracis-28397	34	22	different	different	ADJ
bracis-28397	34	23	space	space	NOUN
bracis-28397	34	24	representations	representation	NOUN
bracis-28397	34	25	.	.	PUNCT
bracis-28397	35	1	2	2	NUM
bracis-28397	35	2	related	relate	VERB
bracis-28397	35	3	works	work	NOUN
bracis-28397	35	4	detecting	detect	VERB
bracis-28397	35	5	ood	ood	NOUN
bracis-28397	35	6	samples	sample	NOUN
bracis-28397	35	7	is	be	AUX
bracis-28397	35	8	crucial	crucial	ADJ
bracis-28397	35	9	in	in	ADP
bracis-28397	35	10	building	build	VERB
bracis-28397	35	11	reliable	reliable	ADJ
bracis-28397	35	12	deep	deep	ADJ
bracis-28397	35	13	learning	learning	NOUN
bracis-28397	35	14	models	model	NOUN
bracis-28397	35	15	that	that	PRON
bracis-28397	35	16	need	need	VERB
bracis-28397	35	17	to	to	PART
bracis-28397	35	18	operate	operate	VERB
bracis-28397	35	19	effectively	effectively	ADV
bracis-28397	35	20	in	in	ADP
bracis-28397	35	21	an	an	DET
bracis-28397	35	22	open	open	ADJ
bracis-28397	35	23	-	-	PUNCT
bracis-28397	35	24	set	set	VERB
bracis-28397	35	25	scenario	scenario	NOUN
bracis-28397	35	26	.	.	PUNCT
bracis-28397	36	1	in	in	ADP
bracis-28397	36	2	medical	medical	ADJ
bracis-28397	36	3	applications	application	NOUN
bracis-28397	36	4	,	,	PUNCT
bracis-28397	36	5	such	such	ADJ
bracis-28397	36	6	strategies	strategy	NOUN
bracis-28397	36	7	allow	allow	VERB
bracis-28397	36	8	dl	dl	PROPN
bracis-28397	36	9	models	model	NOUN
bracis-28397	36	10	to	to	PART
bracis-28397	36	11	enhance	enhance	VERB
bracis-28397	36	12	the	the	DET
bracis-28397	36	13	robustness	robustness	NOUN
bracis-28397	36	14	of	of	ADP
bracis-28397	36	15	such	such	ADJ
bracis-28397	36	16	results	result	NOUN
bracis-28397	36	17	in	in	ADP
bracis-28397	36	18	a	a	DET
bracis-28397	36	19	critical	critical	ADJ
bracis-28397	36	20	task	task	NOUN
bracis-28397	36	21	.	.	PUNCT
bracis-28397	37	1	these	these	DET
bracis-28397	37	2	works	work	NOUN
bracis-28397	37	3	are	be	AUX
bracis-28397	37	4	generally	generally	ADV
bracis-28397	37	5	concentrated	concentrate	VERB
bracis-28397	37	6	in	in	ADP
bracis-28397	37	7	semantic	semantic	ADJ
bracis-28397	37	8	segmentation	segmentation	NOUN
bracis-28397	37	9	and	and	CCONJ
bracis-28397	37	10	image	image	NOUN
bracis-28397	37	11	classification	classification	NOUN
bracis-28397	37	12	tasks	task	NOUN
bracis-28397	37	13	[	[	X
bracis-28397	37	14	4	4	NUM
bracis-28397	37	15	]	]	PUNCT
bracis-28397	37	16	.	.	PUNCT
bracis-28397	38	1	karimi	karimi	PROPN
bracis-28397	38	2	et	et	PROPN
bracis-28397	38	3	al	al	PROPN
bracis-28397	38	4	.	.	PUNCT
bracis-28397	39	1	[	[	X
bracis-28397	39	2	13	13	NUM
bracis-28397	39	3	]	]	PUNCT
bracis-28397	39	4	proposed	propose	VERB
bracis-28397	39	5	a	a	DET
bracis-28397	39	6	spectral	spectral	ADJ
bracis-28397	39	7	analysis	analysis	NOUN
bracis-28397	39	8	of	of	ADP
bracis-28397	39	9	the	the	DET
bracis-28397	39	10	intermediate	intermediate	ADJ
bracis-28397	39	11	features	feature	NOUN
bracis-28397	39	12	of	of	ADP
bracis-28397	39	13	dl	dl	PROPN
bracis-28397	39	14	models	model	NOUN
bracis-28397	39	15	to	to	PART
bracis-28397	39	16	enhance	enhance	VERB
bracis-28397	39	17	the	the	DET
bracis-28397	39	18	robustness	robustness	NOUN
bracis-28397	39	19	of	of	ADP
bracis-28397	39	20	the	the	DET
bracis-28397	39	21	segmentation	segmentation	NOUN
bracis-28397	39	22	task	task	NOUN
bracis-28397	39	23	in	in	ADP
bracis-28397	39	24	multiple	multiple	ADJ
bracis-28397	39	25	organs	organ	NOUN
bracis-28397	39	26	by	by	ADP
bracis-28397	39	27	quantifying	quantify	VERB
bracis-28397	39	28	the	the	DET
bracis-28397	39	29	uncertainty	uncertainty	NOUN
bracis-28397	39	30	of	of	ADP
bracis-28397	39	31	the	the	DET
bracis-28397	39	32	segmentation	segmentation	NOUN
bracis-28397	39	33	result	result	NOUN
bracis-28397	39	34	.	.	PUNCT
bracis-28397	40	1	wollek	wollek	PROPN
bracis-28397	40	2	et	et	PROPN
bracis-28397	40	3	al	al	PROPN
bracis-28397	40	4	.	.	PUNCT
bracis-28397	41	1	[	[	X
bracis-28397	41	2	30	30	NUM
bracis-28397	41	3	]	]	PUNCT
bracis-28397	41	4	evaluated	evaluate	VERB
bracis-28397	41	5	some	some	DET
bracis-28397	41	6	state	state	NOUN
bracis-28397	41	7	-	-	PUNCT
bracis-28397	41	8	of	of	ADP
bracis-28397	41	9	-	-	PUNCT
bracis-28397	41	10	the	the	DET
bracis-28397	41	11	-	-	PUNCT
bracis-28397	41	12	art	art	NOUN
bracis-28397	41	13	ood	ood	NOUN
bracis-28397	41	14	detection	detection	NOUN
bracis-28397	41	15	methods	method	NOUN
bracis-28397	41	16	in	in	ADP
bracis-28397	41	17	several	several	ADJ
bracis-28397	41	18	medical	medical	ADJ
bracis-28397	41	19	application	application	NOUN
bracis-28397	41	20	tasks	task	NOUN
bracis-28397	41	21	related	relate	VERB
bracis-28397	41	22	to	to	ADP
bracis-28397	41	23	the	the	DET
bracis-28397	41	24	image	image	NOUN
bracis-28397	41	25	classification	classification	NOUN
bracis-28397	41	26	problem	problem	NOUN
bracis-28397	41	27	,	,	PUNCT
bracis-28397	41	28	discussing	discuss	VERB
bracis-28397	41	29	the	the	DET
bracis-28397	41	30	advantages	advantage	NOUN
bracis-28397	41	31	and	and	CCONJ
bracis-28397	41	32	drawbacks	drawback	NOUN
bracis-28397	41	33	of	of	ADP
bracis-28397	41	34	such	such	ADJ
bracis-28397	41	35	methods	method	NOUN
bracis-28397	41	36	in	in	ADP
bracis-28397	41	37	identifying	identify	VERB
bracis-28397	41	38	unknown	unknown	ADJ
bracis-28397	41	39	samples	sample	NOUN
bracis-28397	41	40	closer	close	ADV
bracis-28397	41	41	to	to	ADP
bracis-28397	41	42	the	the	DET
bracis-28397	41	43	training	training	NOUN
bracis-28397	41	44	classes	class	NOUN
bracis-28397	41	45	.	.	PUNCT
bracis-28397	42	1	due	due	ADP
bracis-28397	42	2	to	to	ADP
bracis-28397	42	3	the	the	DET
bracis-28397	42	4	relevance	relevance	NOUN
bracis-28397	42	5	of	of	ADP
bracis-28397	42	6	this	this	DET
bracis-28397	42	7	topic	topic	NOUN
bracis-28397	42	8	in	in	ADP
bracis-28397	42	9	dl	dl	PROPN
bracis-28397	42	10	applications	application	NOUN
bracis-28397	42	11	to	to	PART
bracis-28397	42	12	guarantee	guarantee	VERB
bracis-28397	42	13	safety	safety	NOUN
bracis-28397	42	14	and	and	CCONJ
bracis-28397	42	15	robustness	robustness	NOUN
bracis-28397	42	16	,	,	PUNCT
bracis-28397	42	17	there	there	PRON
bracis-28397	42	18	are	be	VERB
bracis-28397	42	19	a	a	DET
bracis-28397	42	20	plethora	plethora	NOUN
bracis-28397	42	21	of	of	ADP
bracis-28397	42	22	new	new	ADJ
bracis-28397	42	23	strategies	strategy	NOUN
bracis-28397	42	24	related	relate	VERB
bracis-28397	42	25	to	to	ADP
bracis-28397	42	26	ood	ood	PROPN
bracis-28397	42	27	detection	detection	PROPN
bracis-28397	42	28	.	.	PUNCT
bracis-28397	43	1	one	one	NUM
bracis-28397	43	2	of	of	ADP
bracis-28397	43	3	the	the	DET
bracis-28397	43	4	most	most	ADV
bracis-28397	43	5	common	common	ADJ
bracis-28397	43	6	methods	method	NOUN
bracis-28397	43	7	for	for	ADP
bracis-28397	43	8	out	out	ADV
bracis-28397	43	9	-	-	PUNCT
bracis-28397	43	10	of	of	ADP
bracis-28397	43	11	-	-	PUNCT
bracis-28397	43	12	distribution	distribution	NOUN
bracis-28397	43	13	(	(	PUNCT
bracis-28397	43	14	ood	ood	NOUN
bracis-28397	43	15	)	)	PUNCT
bracis-28397	43	16	detection	detection	NOUN
bracis-28397	43	17	involves	involve	VERB
bracis-28397	43	18	using	use	VERB
bracis-28397	43	19	the	the	DET
bracis-28397	43	20	softmax	softmax	NOUN
bracis-28397	43	21	output	output	NOUN
bracis-28397	43	22	as	as	ADP
bracis-28397	43	23	an	an	DET
bracis-28397	43	24	ood	ood	PROPN
bracis-28397	43	25	score	score	NOUN
bracis-28397	43	26	,	,	PUNCT
bracis-28397	43	27	known	know	VERB
bracis-28397	43	28	as	as	ADP
bracis-28397	43	29	maximum	maximum	ADJ
bracis-28397	43	30	softmax	softmax	NOUN
bracis-28397	43	31	probability	probability	NOUN
bracis-28397	43	32	(	(	PUNCT
bracis-28397	43	33	msp	msp	PROPN
bracis-28397	43	34	)	)	PUNCT
bracis-28397	44	1	[	[	X
bracis-28397	44	2	11	11	NUM
bracis-28397	44	3	]	]	PUNCT
bracis-28397	44	4	.	.	PUNCT
bracis-28397	45	1	the	the	DET
bracis-28397	45	2	msp	msp	PROPN
bracis-28397	45	3	is	be	AUX
bracis-28397	45	4	based	base	VERB
bracis-28397	45	5	on	on	ADP
bracis-28397	45	6	the	the	DET
bracis-28397	45	7	idea	idea	NOUN
bracis-28397	45	8	that	that	SCONJ
bracis-28397	45	9	unknown	unknown	ADJ
bracis-28397	45	10	class	class	NOUN
bracis-28397	45	11	samples	sample	NOUN
bracis-28397	45	12	would	would	AUX
bracis-28397	45	13	generate	generate	VERB
bracis-28397	45	14	lower	low	ADJ
bracis-28397	45	15	confidence	confidence	NOUN
bracis-28397	45	16	scores	score	NOUN
bracis-28397	45	17	for	for	ADP
bracis-28397	45	18	each	each	DET
bracis-28397	45	19	known	know	VERB
bracis-28397	45	20	class	class	NOUN
bracis-28397	45	21	,	,	PUNCT
bracis-28397	45	22	which	which	PRON
bracis-28397	45	23	are	be	AUX
bracis-28397	45	24	then	then	ADV
bracis-28397	45	25	used	use	VERB
bracis-28397	45	26	to	to	PART
bracis-28397	45	27	distinguish	distinguish	VERB
bracis-28397	45	28	i	i	PROPN
bracis-28397	45	29	d	d	PROPN
bracis-28397	45	30	and	and	CCONJ
bracis-28397	45	31	ood	ood	PROPN
bracis-28397	45	32	data	data	PROPN
bracis-28397	45	33	.	.	PUNCT
bracis-28397	46	1	this	this	DET
bracis-28397	46	2	method	method	NOUN
bracis-28397	46	3	was	be	AUX
bracis-28397	46	4	evaluated	evaluate	VERB
bracis-28397	46	5	in	in	ADP
bracis-28397	46	6	a	a	DET
bracis-28397	46	7	wide	wide	ADJ
bracis-28397	46	8	range	range	NOUN
bracis-28397	46	9	of	of	ADP
bracis-28397	46	10	problems	problem	NOUN
bracis-28397	46	11	,	,	PUNCT
bracis-28397	46	12	including	include	VERB
bracis-28397	46	13	medical	medical	ADJ
bracis-28397	46	14	applications	application	NOUN
bracis-28397	46	15	.	.	PUNCT
bracis-28397	47	1	zhang	zhang	PROPN
bracis-28397	47	2	et	et	PROPN
bracis-28397	47	3	al	al	PROPN
bracis-28397	47	4	.	.	PUNCT
bracis-28397	48	1	[	[	X
bracis-28397	48	2	37	37	NUM
bracis-28397	48	3	]	]	PUNCT
bracis-28397	48	4	,	,	PUNCT
bracis-28397	48	5	for	for	ADP
bracis-28397	48	6	example	example	NOUN
bracis-28397	48	7	,	,	PUNCT
bracis-28397	48	8	evaluated	evaluate	VERB
bracis-28397	48	9	the	the	DET
bracis-28397	48	10	effectiveness	effectiveness	NOUN
bracis-28397	48	11	of	of	ADP
bracis-28397	48	12	the	the	DET
bracis-28397	48	13	msp	msp	PROPN
bracis-28397	48	14	method	method	NOUN
bracis-28397	48	15	in	in	ADP
bracis-28397	48	16	ood	ood	PROPN
bracis-28397	48	17	detection	detection	NOUN
bracis-28397	48	18	for	for	ADP
bracis-28397	48	19	diabetic	diabetic	ADJ
bracis-28397	48	20	retinopathy	retinopathy	ADJ
bracis-28397	48	21	detection	detection	NOUN
bracis-28397	48	22	and	and	CCONJ
bracis-28397	48	23	chest	chest	NOUN
bracis-28397	48	24	radiography	radiography	NOUN
bracis-28397	48	25	-	-	PUNCT
bracis-28397	48	26	related	relate	VERB
bracis-28397	48	27	problems	problem	NOUN
bracis-28397	48	28	.	.	PUNCT
bracis-28397	49	1	however	however	ADV
bracis-28397	49	2	,	,	PUNCT
bracis-28397	49	3	using	use	VERB
bracis-28397	49	4	softmax	softmax	NOUN
bracis-28397	49	5	output	output	NOUN
bracis-28397	49	6	can	can	AUX
bracis-28397	49	7	sometimes	sometimes	ADV
bracis-28397	49	8	lead	lead	VERB
bracis-28397	49	9	to	to	ADP
bracis-28397	49	10	overconfident	overconfident	ADJ
bracis-28397	49	11	scores	score	NOUN
bracis-28397	49	12	on	on	ADP
bracis-28397	49	13	unknown	unknown	ADJ
bracis-28397	49	14	data	datum	NOUN
bracis-28397	49	15	,	,	PUNCT
bracis-28397	49	16	which	which	PRON
bracis-28397	49	17	is	be	AUX
bracis-28397	49	18	inappropriate	inappropriate	ADJ
bracis-28397	49	19	for	for	ADP
bracis-28397	49	20	ood	ood	PROPN
bracis-28397	49	21	detection	detection	PROPN
bracis-28397	49	22	[	[	X
bracis-28397	49	23	33	33	NUM
bracis-28397	49	24	]	]	PUNCT
bracis-28397	49	25	.	.	PUNCT
bracis-28397	50	1	to	to	PART
bracis-28397	50	2	avoid	avoid	VERB
bracis-28397	50	3	the	the	DET
bracis-28397	50	4	issues	issue	NOUN
bracis-28397	50	5	associated	associate	VERB
bracis-28397	50	6	with	with	ADP
bracis-28397	50	7	the	the	DET
bracis-28397	50	8	softmax	softmax	NOUN
bracis-28397	50	9	,	,	PUNCT
bracis-28397	50	10	the	the	DET
bracis-28397	50	11	feature	feature	NOUN
bracis-28397	50	12	space	space	NOUN
bracis-28397	50	13	can	can	AUX
bracis-28397	50	14	also	also	ADV
bracis-28397	50	15	distinguish	distinguish	VERB
bracis-28397	50	16	between	between	ADP
bracis-28397	50	17	known	known	ADJ
bracis-28397	50	18	and	and	CCONJ
bracis-28397	50	19	unknown	unknown	ADJ
bracis-28397	50	20	samples	sample	NOUN
bracis-28397	50	21	.	.	PUNCT
bracis-28397	51	1	lee	lee	PROPN
bracis-28397	51	2	et	et	PROPN
bracis-28397	51	3	al	al	PROPN
bracis-28397	51	4	.	.	PUNCT
bracis-28397	52	1	[	[	X
bracis-28397	52	2	15	15	NUM
bracis-28397	52	3	]	]	PUNCT
bracis-28397	52	4	proposed	propose	VERB
bracis-28397	52	5	a	a	DET
bracis-28397	52	6	method	method	NOUN
bracis-28397	52	7	that	that	PRON
bracis-28397	52	8	uses	use	VERB
bracis-28397	52	9	the	the	DET
bracis-28397	52	10	information	information	NOUN
bracis-28397	52	11	from	from	ADP
bracis-28397	52	12	the	the	DET
bracis-28397	52	13	feature	feature	NOUN
bracis-28397	52	14	space	space	NOUN
bracis-28397	52	15	to	to	PART
bracis-28397	52	16	detect	detect	VERB
bracis-28397	52	17	ood	ood	PROPN
bracis-28397	52	18	samples	sample	NOUN
bracis-28397	52	19	,	,	PUNCT
bracis-28397	52	20	assuming	assume	VERB
bracis-28397	52	21	that	that	SCONJ
bracis-28397	52	22	the	the	DET
bracis-28397	52	23	feature	feature	NOUN
bracis-28397	52	24	representation	representation	NOUN
bracis-28397	52	25	can	can	AUX
bracis-28397	52	26	be	be	AUX
bracis-28397	52	27	fitted	fit	VERB
bracis-28397	52	28	into	into	ADP
bracis-28397	52	29	gaussian	gaussian	ADJ
bracis-28397	52	30	distributions	distribution	NOUN
bracis-28397	52	31	.	.	PUNCT
bracis-28397	53	1	in	in	ADP
bracis-28397	53	2	this	this	DET
bracis-28397	53	3	case	case	NOUN
bracis-28397	53	4	,	,	PUNCT
bracis-28397	53	5	the	the	DET
bracis-28397	53	6	class	class	NOUN
bracis-28397	53	7	-	-	PUNCT
bracis-28397	53	8	conditional	conditional	ADJ
bracis-28397	53	9	gaussian	gaussian	ADJ
bracis-28397	53	10	distributions	distribution	NOUN
bracis-28397	53	11	are	be	AUX
bracis-28397	53	12	obtained	obtain	VERB
bracis-28397	53	13	and	and	CCONJ
bracis-28397	53	14	the	the	DET
bracis-28397	53	15	score	score	NOUN
bracis-28397	53	16	is	be	AUX
bracis-28397	53	17	computed	compute	VERB
bracis-28397	53	18	as	as	ADP
bracis-28397	53	19	the	the	DET
bracis-28397	53	20	mahalanobis	mahalanobis	ADJ
bracis-28397	53	21	distance	distance	NOUN
bracis-28397	53	22	from	from	ADP
bracis-28397	53	23	a	a	DET
bracis-28397	53	24	test	test	NOUN
bracis-28397	53	25	sample	sample	NOUN
bracis-28397	53	26	to	to	ADP
bracis-28397	53	27	the	the	DET
bracis-28397	53	28	closest	close	ADJ
bracis-28397	53	29	class	class	NOUN
bracis-28397	53	30	-	-	PUNCT
bracis-28397	53	31	conditional	conditional	ADJ
bracis-28397	53	32	distribution	distribution	NOUN
bracis-28397	53	33	[	[	X
bracis-28397	53	34	24	24	NUM
bracis-28397	53	35	]	]	PUNCT
bracis-28397	53	36	.	.	PUNCT
bracis-28397	54	1	this	this	DET
bracis-28397	54	2	ood	ood	PROPN
bracis-28397	54	3	detection	detection	NOUN
bracis-28397	54	4	method	method	NOUN
bracis-28397	54	5	was	be	AUX
bracis-28397	54	6	applied	apply	VERB
bracis-28397	54	7	in	in	ADP
bracis-28397	54	8	different	different	ADJ
bracis-28397	54	9	medical	medical	ADJ
bracis-28397	54	10	applications	application	NOUN
bracis-28397	54	11	related	relate	VERB
bracis-28397	54	12	to	to	ADP
bracis-28397	54	13	image	image	NOUN
bracis-28397	54	14	analysis	analysis	NOUN
bracis-28397	54	15	,	,	PUNCT
bracis-28397	54	16	such	such	ADJ
bracis-28397	54	17	as	as	ADP
bracis-28397	54	18	malaria	malaria	NOUN
bracis-28397	54	19	parasitized	parasitize	VERB
bracis-28397	54	20	cells	cell	NOUN
bracis-28397	54	21	classification	classification	NOUN
bracis-28397	54	22	[	[	X
bracis-28397	54	23	28	28	NUM
bracis-28397	54	24	]	]	PUNCT
bracis-28397	54	25	,	,	PUNCT
bracis-28397	54	26	lung	lung	NOUN
bracis-28397	54	27	cancer	cancer	NOUN
bracis-28397	54	28	classification	classification	NOUN
bracis-28397	55	1	[	[	X
bracis-28397	55	2	2	2	NUM
bracis-28397	55	3	]	]	PUNCT
bracis-28397	55	4	,	,	PUNCT
bracis-28397	55	5	and	and	CCONJ
bracis-28397	55	6	skin	skin	NOUN
bracis-28397	55	7	lesion	lesion	NOUN
bracis-28397	55	8	classification	classification	NOUN
bracis-28397	55	9	[	[	X
bracis-28397	55	10	25	25	NUM
bracis-28397	55	11	]	]	PUNCT
bracis-28397	55	12	.	.	PUNCT
bracis-28397	56	1	despite	despite	SCONJ
bracis-28397	56	2	its	its	PRON
bracis-28397	56	3	efficiency	efficiency	NOUN
bracis-28397	56	4	in	in	ADP
bracis-28397	56	5	the	the	DET
bracis-28397	56	6	ood	ood	PROPN
bracis-28397	56	7	detection	detection	PROPN
bracis-28397	56	8	task	task	NOUN
bracis-28397	56	9	,	,	PUNCT
bracis-28397	56	10	the	the	DET
bracis-28397	56	11	feature	feature	NOUN
bracis-28397	56	12	space	space	NOUN
bracis-28397	56	13	is	be	AUX
bracis-28397	56	14	generally	generally	ADV
bracis-28397	56	15	a	a	DET
bracis-28397	56	16	high	high	ADV
bracis-28397	56	17	-	-	PUNCT
bracis-28397	56	18	dimensional	dimensional	ADJ
bracis-28397	56	19	representation	representation	NOUN
bracis-28397	56	20	,	,	PUNCT
bracis-28397	56	21	which	which	PRON
bracis-28397	56	22	can	can	AUX
bracis-28397	56	23	be	be	AUX
bracis-28397	56	24	often	often	ADV
bracis-28397	56	25	an	an	DET
bracis-28397	56	26	inefficient	inefficient	ADJ
bracis-28397	56	27	representation	representation	NOUN
bracis-28397	56	28	with	with	ADP
bracis-28397	56	29	high	high	ADJ
bracis-28397	56	30	redundancy	redundancy	NOUN
bracis-28397	56	31	and	and	CCONJ
bracis-28397	56	32	lead	lead	VERB
bracis-28397	56	33	to	to	ADP
bracis-28397	56	34	a	a	DET
bracis-28397	56	35	harder	hard	ADJ
bracis-28397	56	36	fit	fit	NOUN
bracis-28397	56	37	of	of	ADP
bracis-28397	56	38	the	the	DET
bracis-28397	56	39	ood	ood	PROPN
bracis-28397	56	40	detection	detection	PROPN
bracis-28397	56	41	method	method	NOUN
bracis-28397	56	42	[	[	X
bracis-28397	56	43	31	31	NUM
bracis-28397	56	44	]	]	PUNCT
bracis-28397	56	45	.	.	PUNCT
bracis-28397	57	1	to	to	PART
bracis-28397	57	2	alleviate	alleviate	VERB
bracis-28397	57	3	the	the	DET
bracis-28397	57	4	problem	problem	NOUN
bracis-28397	57	5	of	of	ADP
bracis-28397	57	6	high	high	ADJ
bracis-28397	57	7	dimensionality	dimensionality	NOUN
bracis-28397	57	8	in	in	ADP
bracis-28397	57	9	intermediate	intermediate	ADJ
bracis-28397	57	10	representations	representation	NOUN
bracis-28397	57	11	,	,	PUNCT
bracis-28397	57	12	oliveira	oliveira	PROPN
bracis-28397	57	13	et	et	PROPN
bracis-28397	57	14	al	al	PROPN
bracis-28397	57	15	.	.	PUNCT
bracis-28397	58	1	[	[	X
bracis-28397	58	2	21	21	NUM
bracis-28397	58	3	]	]	PUNCT
bracis-28397	58	4	proposed	propose	VERB
bracis-28397	58	5	a	a	DET
bracis-28397	58	6	method	method	NOUN
bracis-28397	58	7	for	for	ADP
bracis-28397	58	8	ood	ood	PROPN
bracis-28397	58	9	detection	detection	PROPN
bracis-28397	58	10	,	,	PUNCT
bracis-28397	58	11	called	call	VERB
bracis-28397	58	12	openpcs	openpc	NOUN
bracis-28397	58	13	,	,	PUNCT
bracis-28397	58	14	using	use	VERB
bracis-28397	58	15	pca	pca	NOUN
bracis-28397	58	16	to	to	PART
bracis-28397	58	17	reduce	reduce	VERB
bracis-28397	58	18	the	the	DET
bracis-28397	58	19	dimensionality	dimensionality	NOUN
bracis-28397	58	20	of	of	ADP
bracis-28397	58	21	the	the	DET
bracis-28397	58	22	feature	feature	NOUN
bracis-28397	58	23	space	space	NOUN
bracis-28397	58	24	.	.	PUNCT
bracis-28397	59	1	the	the	DET
bracis-28397	59	2	low	low	ADJ
bracis-28397	59	3	-	-	PUNCT
bracis-28397	59	4	dimensionality	dimensionality	NOUN
bracis-28397	59	5	representation	representation	NOUN
bracis-28397	59	6	is	be	AUX
bracis-28397	59	7	then	then	ADV
bracis-28397	59	8	used	use	VERB
bracis-28397	59	9	to	to	PART
bracis-28397	59	10	adjust	adjust	VERB
bracis-28397	59	11	class	class	NOUN
bracis-28397	59	12	-	-	PUNCT
bracis-28397	59	13	conditional	conditional	ADJ
bracis-28397	59	14	gaussian	gaussian	ADJ
bracis-28397	59	15	distributions	distribution	NOUN
bracis-28397	59	16	,	,	PUNCT
bracis-28397	59	17	and	and	CCONJ
bracis-28397	59	18	the	the	DET
bracis-28397	59	19	score	score	NOUN
bracis-28397	59	20	is	be	AUX
bracis-28397	59	21	calculated	calculate	VERB
bracis-28397	59	22	by	by	ADP
bracis-28397	59	23	finding	find	VERB
bracis-28397	59	24	the	the	DET
bracis-28397	59	25	maximum	maximum	ADJ
bracis-28397	59	26	likelihood	likelihood	NOUN
bracis-28397	59	27	between	between	ADP
bracis-28397	59	28	a	a	DET
bracis-28397	59	29	sample	sample	NOUN
bracis-28397	59	30	’s	’s	PART
bracis-28397	59	31	intermediate	intermediate	ADJ
bracis-28397	59	32	representation	representation	NOUN
bracis-28397	59	33	and	and	CCONJ
bracis-28397	59	34	the	the	DET
bracis-28397	59	35	class	class	NOUN
bracis-28397	59	36	-	-	PUNCT
bracis-28397	59	37	conditional	conditional	ADJ
bracis-28397	59	38	distributions	distribution	NOUN
bracis-28397	59	39	.	.	PUNCT
bracis-28397	60	1	more	more	ADV
bracis-28397	60	2	recently	recently	ADV
bracis-28397	60	3	,	,	PUNCT
bracis-28397	60	4	carvalho	carvalho	PROPN
bracis-28397	60	5	et	et	PROPN
bracis-28397	60	6	al	al	PROPN
bracis-28397	60	7	.	.	PUNCT
bracis-28397	61	1	[	[	X
bracis-28397	61	2	5	5	NUM
bracis-28397	61	3	]	]	PUNCT
bracis-28397	61	4	proposed	propose	VERB
bracis-28397	61	5	an	an	DET
bracis-28397	61	6	extension	extension	NOUN
bracis-28397	61	7	of	of	ADP
bracis-28397	61	8	its	its	PRON
bracis-28397	61	9	method	method	NOUN
bracis-28397	61	10	for	for	ADP
bracis-28397	61	11	multi	multi	ADJ
bracis-28397	61	12	-	-	ADJ
bracis-28397	61	13	class	class	ADJ
bracis-28397	61	14	classification	classification	NOUN
bracis-28397	61	15	problems	problem	NOUN
bracis-28397	61	16	,	,	PUNCT
bracis-28397	61	17	named	name	VERB
bracis-28397	61	18	as	as	ADP
bracis-28397	61	19	openpcs	openpc	NOUN
bracis-28397	61	20	-	-	PUNCT
bracis-28397	61	21	class	class	NOUN
bracis-28397	61	22	.	.	PUNCT
bracis-28397	62	1	this	this	DET
bracis-28397	62	2	method	method	NOUN
bracis-28397	62	3	was	be	AUX
bracis-28397	62	4	successfully	successfully	ADV
bracis-28397	62	5	evaluated	evaluate	VERB
bracis-28397	62	6	in	in	ADP
bracis-28397	62	7	benchmark	benchmark	NOUN
bracis-28397	62	8	problems	problem	NOUN
bracis-28397	62	9	,	,	PUNCT
bracis-28397	62	10	but	but	CCONJ
bracis-28397	62	11	the	the	DET
bracis-28397	62	12	openpcs	openpc	NOUN
bracis-28397	62	13	-	-	PUNCT
bracis-28397	62	14	class	class	NOUN
bracis-28397	62	15	is	be	AUX
bracis-28397	62	16	still	still	ADV
bracis-28397	62	17	unexplored	unexplored	ADJ
bracis-28397	62	18	in	in	ADP
bracis-28397	62	19	different	different	ADJ
bracis-28397	62	20	applications	application	NOUN
bracis-28397	62	21	,	,	PUNCT
bracis-28397	62	22	including	include	VERB
bracis-28397	62	23	medical	medical	ADJ
bracis-28397	62	24	image	image	NOUN
bracis-28397	62	25	analysis	analysis	NOUN
bracis-28397	62	26	.	.	PUNCT
bracis-28397	63	1	3	3	NUM
bracis-28397	63	2	detecting	detect	VERB
bracis-28397	63	3	unseen	unseen	ADJ
bracis-28397	63	4	samples	sample	NOUN
bracis-28397	63	5	using	use	VERB
bracis-28397	63	6	feature	feature	NOUN
bracis-28397	63	7	space	space	NOUN
bracis-28397	63	8	in	in	ADP
bracis-28397	63	9	this	this	DET
bracis-28397	63	10	section	section	NOUN
bracis-28397	63	11	,	,	PUNCT
bracis-28397	63	12	we	we	PRON
bracis-28397	63	13	describe	describe	VERB
bracis-28397	63	14	in	in	ADP
bracis-28397	63	15	detail	detail	NOUN
bracis-28397	63	16	the	the	DET
bracis-28397	63	17	openpcs	openpcs	ADJ
bracis-28397	63	18	-	-	PUNCT
bracis-28397	63	19	class	class	NOUN
bracis-28397	63	20	method	method	NOUN
bracis-28397	63	21	strategy	strategy	NOUN
bracis-28397	63	22	.	.	PUNCT
bracis-28397	64	1	we	we	PRON
bracis-28397	64	2	also	also	ADV
bracis-28397	64	3	briefly	briefly	ADV
bracis-28397	64	4	introduce	introduce	VERB
bracis-28397	64	5	the	the	DET
bracis-28397	64	6	ood	ood	PROPN
bracis-28397	64	7	detection	detection	PROPN
bracis-28397	64	8	problem	problem	NOUN
bracis-28397	64	9	in	in	ADP
bracis-28397	64	10	skin	skin	NOUN
bracis-28397	64	11	lesion	lesion	NOUN
bracis-28397	64	12	problems	problem	NOUN
bracis-28397	64	13	,	,	PUNCT
bracis-28397	64	14	motivating	motivate	VERB
bracis-28397	64	15	the	the	DET
bracis-28397	64	16	applicability	applicability	NOUN
bracis-28397	64	17	of	of	ADP
bracis-28397	64	18	this	this	DET
bracis-28397	64	19	work	work	NOUN
bracis-28397	64	20	.	.	PUNCT
bracis-28397	65	1	the	the	DET
bracis-28397	65	2	code	code	NOUN
bracis-28397	65	3	of	of	ADP
bracis-28397	65	4	this	this	DET
bracis-28397	65	5	work	work	NOUN
bracis-28397	65	6	is	be	AUX
bracis-28397	65	7	publicly	publicly	ADV
bracis-28397	65	8	availablefootnote	availablefootnote	VERB
bracis-28397	65	9	1	1	NUM
bracis-28397	65	10	3.1	3.1	NUM
bracis-28397	65	11	open	open	ADJ
bracis-28397	65	12	principal	principal	ADJ
bracis-28397	65	13	component	component	NOUN
bracis-28397	65	14	score	score	NOUN
bracis-28397	65	15	for	for	ADP
bracis-28397	65	16	 	 	SPACE
bracis-28397	65	17	image	image	NOUN
bracis-28397	65	18	classification	classification	NOUN
bracis-28397	65	19	the	the	DET
bracis-28397	65	20	open	open	ADJ
bracis-28397	65	21	principal	principal	ADJ
bracis-28397	65	22	component	component	NOUN
bracis-28397	65	23	score	score	NOUN
bracis-28397	65	24	(	(	PUNCT
bracis-28397	65	25	openpcs	openpc	NOUN
bracis-28397	65	26	)	)	PUNCT
bracis-28397	65	27	is	be	AUX
bracis-28397	65	28	a	a	DET
bracis-28397	65	29	method	method	NOUN
bracis-28397	65	30	that	that	PRON
bracis-28397	65	31	uses	use	VERB
bracis-28397	65	32	intermediate	intermediate	ADJ
bracis-28397	65	33	features	feature	NOUN
bracis-28397	65	34	for	for	ADP
bracis-28397	65	35	ood	ood	PROPN
bracis-28397	65	36	detection	detection	NOUN
bracis-28397	65	37	in	in	ADP
bracis-28397	65	38	a	a	DET
bracis-28397	65	39	semantic	semantic	ADJ
bracis-28397	65	40	segmentation	segmentation	NOUN
bracis-28397	65	41	task	task	NOUN
bracis-28397	65	42	.	.	PUNCT
bracis-28397	66	1	originally	originally	ADV
bracis-28397	66	2	,	,	PUNCT
bracis-28397	66	3	this	this	DET
bracis-28397	66	4	method	method	NOUN
bracis-28397	66	5	could	could	AUX
bracis-28397	66	6	be	be	AUX
bracis-28397	66	7	applied	apply	VERB
bracis-28397	66	8	only	only	ADV
bracis-28397	66	9	to	to	ADP
bracis-28397	66	10	fully	fully	ADV
bracis-28397	66	11	convolutional	convolutional	ADJ
bracis-28397	66	12	networks	network	NOUN
bracis-28397	66	13	(	(	PUNCT
bracis-28397	66	14	fcn	fcn	PROPN
bracis-28397	66	15	)	)	PUNCT
bracis-28397	66	16	,	,	PUNCT
bracis-28397	66	17	which	which	PRON
bracis-28397	66	18	can	can	AUX
bracis-28397	66	19	be	be	AUX
bracis-28397	66	20	prohibitively	prohibitively	ADV
bracis-28397	66	21	for	for	ADP
bracis-28397	66	22	direct	direct	ADJ
bracis-28397	66	23	utilization	utilization	NOUN
bracis-28397	66	24	of	of	ADP
bracis-28397	66	25	openpcs	openpc	NOUN
bracis-28397	66	26	for	for	ADP
bracis-28397	66	27	different	different	ADJ
bracis-28397	66	28	dl	dl	PROPN
bracis-28397	66	29	tasks	task	NOUN
bracis-28397	66	30	.	.	PUNCT
bracis-28397	67	1	the	the	DET
bracis-28397	67	2	openpcs	openpc	NOUN
bracis-28397	67	3	-	-	PUNCT
bracis-28397	67	4	class	class	NOUN
bracis-28397	67	5	can	can	AUX
bracis-28397	67	6	be	be	AUX
bracis-28397	67	7	seen	see	VERB
bracis-28397	67	8	as	as	ADP
bracis-28397	67	9	the	the	DET
bracis-28397	67	10	extension	extension	NOUN
bracis-28397	67	11	of	of	ADP
bracis-28397	67	12	the	the	DET
bracis-28397	67	13	openpcs	openpc	NOUN
bracis-28397	67	14	method	method	NOUN
bracis-28397	67	15	for	for	ADP
bracis-28397	67	16	classification	classification	NOUN
bracis-28397	67	17	tasks	task	NOUN
bracis-28397	67	18	.	.	PUNCT
bracis-28397	68	1	this	this	DET
bracis-28397	68	2	method	method	NOUN
bracis-28397	68	3	discards	discard	VERB
bracis-28397	68	4	the	the	DET
bracis-28397	68	5	need	need	NOUN
bracis-28397	68	6	of	of	ADP
bracis-28397	68	7	a	a	DET
bracis-28397	68	8	fcn	fcn	NOUN
bracis-28397	68	9	but	but	CCONJ
bracis-28397	68	10	retains	retain	VERB
bracis-28397	68	11	the	the	DET
bracis-28397	68	12	main	main	ADJ
bracis-28397	68	13	characteristics	characteristic	NOUN
bracis-28397	68	14	of	of	ADP
bracis-28397	68	15	using	use	VERB
bracis-28397	68	16	a	a	DET
bracis-28397	68	17	combination	combination	NOUN
bracis-28397	68	18	of	of	ADP
bracis-28397	68	19	intermediate	intermediate	ADJ
bracis-28397	68	20	features	feature	NOUN
bracis-28397	68	21	in	in	ADP
bracis-28397	68	22	a	a	DET
bracis-28397	68	23	low	low	ADJ
bracis-28397	68	24	-	-	PUNCT
bracis-28397	68	25	level	level	NOUN
bracis-28397	68	26	representation	representation	NOUN
bracis-28397	68	27	.	.	PUNCT
bracis-28397	69	1	for	for	ADP
bracis-28397	69	2	a	a	DET
bracis-28397	69	3	better	well	ADJ
bracis-28397	69	4	comprehension	comprehension	NOUN
bracis-28397	69	5	of	of	ADP
bracis-28397	69	6	the	the	DET
bracis-28397	69	7	method	method	NOUN
bracis-28397	69	8	,	,	PUNCT
bracis-28397	69	9	fig	fig	NOUN
bracis-28397	69	10	.	.	PUNCT
bracis-28397	69	11	 	 	SPACE
bracis-28397	69	12	1	1	NUM
bracis-28397	69	13	displays	display	VERB
bracis-28397	69	14	the	the	DET
bracis-28397	69	15	method	method	NOUN
bracis-28397	69	16	overview	overview	NOUN
bracis-28397	69	17	for	for	ADP
bracis-28397	69	18	an	an	DET
bracis-28397	69	19	image	image	NOUN
bracis-28397	69	20	classification	classification	NOUN
bracis-28397	69	21	problem	problem	NOUN
bracis-28397	69	22	.	.	PUNCT
bracis-28397	70	1	fig	fig	NOUN
bracis-28397	70	2	.	.	PUNCT
bracis-28397	71	1	1	1	X
bracis-28397	71	2	.	.	X
bracis-28397	71	3	openpcs	openpc	NOUN
bracis-28397	71	4	-	-	PUNCT
bracis-28397	71	5	class	class	NOUN
bracis-28397	71	6	overview	overview	NOUN
bracis-28397	71	7	for	for	ADP
bracis-28397	71	8	image	image	NOUN
bracis-28397	71	9	classification	classification	NOUN
bracis-28397	71	10	full	full	ADJ
bracis-28397	71	11	size	size	NOUN
bracis-28397	71	12	image	image	NOUN
bracis-28397	71	13	the	the	DET
bracis-28397	71	14	openpcs	openpc	NOUN
bracis-28397	71	15	-	-	PUNCT
bracis-28397	71	16	class	class	NOUN
bracis-28397	71	17	is	be	AUX
bracis-28397	71	18	an	an	DET
bracis-28397	71	19	ood	ood	PROPN
bracis-28397	71	20	detection	detection	NOUN
bracis-28397	71	21	method	method	NOUN
bracis-28397	71	22	that	that	PRON
bracis-28397	71	23	can	can	AUX
bracis-28397	71	24	combine	combine	VERB
bracis-28397	71	25	features	feature	NOUN
bracis-28397	71	26	from	from	ADP
bracis-28397	71	27	different	different	ADJ
bracis-28397	71	28	layers	layer	NOUN
bracis-28397	71	29	to	to	PART
bracis-28397	71	30	distinguish	distinguish	VERB
bracis-28397	71	31	whether	whether	SCONJ
bracis-28397	71	32	a	a	DET
bracis-28397	71	33	sample	sample	NOUN
bracis-28397	71	34	belongs	belong	VERB
bracis-28397	71	35	to	to	ADP
bracis-28397	71	36	a	a	DET
bracis-28397	71	37	known	know	VERB
bracis-28397	71	38	or	or	CCONJ
bracis-28397	71	39	unknown	unknown	ADJ
bracis-28397	71	40	class	class	NOUN
bracis-28397	71	41	.	.	PUNCT
bracis-28397	72	1	for	for	ADP
bracis-28397	72	2	each	each	DET
bracis-28397	72	3	model	model	NOUN
bracis-28397	72	4	layer	layer	NOUN
bracis-28397	72	5	l	l	NOUN
bracis-28397	72	6	,	,	PUNCT
bracis-28397	72	7	we	we	PRON
bracis-28397	72	8	transform	transform	VERB
bracis-28397	72	9	the	the	DET
bracis-28397	72	10	activation	activation	NOUN
bracis-28397	72	11	map	map	NOUN
bracis-28397	72	12	\(a^{(l)}\	\(a^{(l)}\	NOUN
bracis-28397	72	13	)	)	PUNCT
bracis-28397	72	14	to	to	ADP
bracis-28397	72	15	the	the	DET
bracis-28397	72	16	corresponding	corresponding	ADJ
bracis-28397	72	17	activation	activation	NOUN
bracis-28397	72	18	vector	vector	NOUN
bracis-28397	72	19	\(h^{(l)}\	\(h^{(l)}\	PROPN
bracis-28397	72	20	)	)	PUNCT
bracis-28397	72	21	by	by	ADP
bracis-28397	72	22	using	use	VERB
bracis-28397	72	23	a	a	DET
bracis-28397	72	24	reduction	reduction	NOUN
bracis-28397	72	25	method	method	NOUN
bracis-28397	72	26	(	(	PUNCT
bracis-28397	72	27	e.g.	e.g.	ADV
bracis-28397	72	28	,	,	PUNCT
bracis-28397	72	29	average	average	ADJ
bracis-28397	72	30	pooling	pooling	NOUN
bracis-28397	72	31	)	)	PUNCT
bracis-28397	72	32	.	.	PUNCT
bracis-28397	73	1	therefore	therefore	ADV
bracis-28397	73	2	,	,	PUNCT
bracis-28397	73	3	we	we	PRON
bracis-28397	73	4	always	always	ADV
bracis-28397	73	5	obtain	obtain	VERB
bracis-28397	73	6	its	its	PRON
bracis-28397	73	7	feature	feature	NOUN
bracis-28397	73	8	vector	vector	NOUN
bracis-28397	73	9	independently	independently	ADV
bracis-28397	73	10	from	from	ADP
bracis-28397	73	11	the	the	DET
bracis-28397	73	12	layer	layer	NOUN
bracis-28397	73	13	specification	specification	NOUN
bracis-28397	73	14	.	.	PUNCT
bracis-28397	74	1	one	one	NUM
bracis-28397	74	2	of	of	ADP
bracis-28397	74	3	the	the	DET
bracis-28397	74	4	main	main	ADJ
bracis-28397	74	5	abilities	ability	NOUN
bracis-28397	74	6	of	of	ADP
bracis-28397	74	7	the	the	DET
bracis-28397	74	8	openpcs	openpc	NOUN
bracis-28397	74	9	method	method	NOUN
bracis-28397	74	10	is	be	AUX
bracis-28397	74	11	the	the	DET
bracis-28397	74	12	capability	capability	NOUN
bracis-28397	74	13	to	to	PART
bracis-28397	74	14	combine	combine	VERB
bracis-28397	74	15	the	the	DET
bracis-28397	74	16	feature	feature	NOUN
bracis-28397	74	17	representation	representation	NOUN
bracis-28397	74	18	from	from	ADP
bracis-28397	74	19	different	different	ADJ
bracis-28397	74	20	layers	layer	NOUN
bracis-28397	74	21	,	,	PUNCT
bracis-28397	74	22	which	which	PRON
bracis-28397	74	23	is	be	AUX
bracis-28397	74	24	a	a	DET
bracis-28397	74	25	user	user	NOUN
bracis-28397	74	26	-	-	PUNCT
bracis-28397	74	27	defined	define	VERB
bracis-28397	74	28	parameter	parameter	NOUN
bracis-28397	74	29	.	.	PUNCT
bracis-28397	75	1	for	for	ADP
bracis-28397	75	2	classification	classification	NOUN
bracis-28397	75	3	tasks	task	NOUN
bracis-28397	75	4	,	,	PUNCT
bracis-28397	75	5	the	the	DET
bracis-28397	75	6	features	feature	NOUN
bracis-28397	75	7	are	be	AUX
bracis-28397	75	8	combined	combine	VERB
bracis-28397	75	9	by	by	ADP
bracis-28397	75	10	concatenating	concatenate	VERB
bracis-28397	75	11	their	their	PRON
bracis-28397	75	12	vectors	vector	NOUN
bracis-28397	75	13	,	,	PUNCT
bracis-28397	75	14	resulting	result	VERB
bracis-28397	75	15	in	in	ADP
bracis-28397	75	16	a	a	DET
bracis-28397	75	17	feature	feature	NOUN
bracis-28397	75	18	vector	vector	NOUN
bracis-28397	75	19	h.	h.	NOUN
bracis-28397	75	20	the	the	DET
bracis-28397	75	21	drawback	drawback	NOUN
bracis-28397	75	22	of	of	ADP
bracis-28397	75	23	such	such	DET
bracis-28397	75	24	an	an	DET
bracis-28397	75	25	approach	approach	NOUN
bracis-28397	75	26	is	be	AUX
bracis-28397	75	27	the	the	DET
bracis-28397	75	28	high	high	ADJ
bracis-28397	75	29	dimensionality	dimensionality	NOUN
bracis-28397	75	30	of	of	ADP
bracis-28397	75	31	the	the	DET
bracis-28397	75	32	feature	feature	NOUN
bracis-28397	75	33	vector	vector	NOUN
bracis-28397	75	34	h.	h.	NOUN
bracis-28397	75	35	to	to	PART
bracis-28397	75	36	alleviate	alleviate	VERB
bracis-28397	75	37	this	this	DET
bracis-28397	75	38	issue	issue	NOUN
bracis-28397	75	39	,	,	PUNCT
bracis-28397	75	40	we	we	PRON
bracis-28397	75	41	apply	apply	VERB
bracis-28397	75	42	the	the	DET
bracis-28397	75	43	pca	pca	NOUN
bracis-28397	75	44	to	to	PART
bracis-28397	75	45	obtain	obtain	VERB
bracis-28397	75	46	a	a	DET
bracis-28397	75	47	better	well	ADJ
bracis-28397	75	48	representation	representation	NOUN
bracis-28397	75	49	in	in	ADP
bracis-28397	75	50	a	a	DET
bracis-28397	75	51	low	low	ADJ
bracis-28397	75	52	dimension	dimension	NOUN
bracis-28397	75	53	.	.	PUNCT
bracis-28397	76	1	to	to	PART
bracis-28397	76	2	fit	fit	VERB
bracis-28397	76	3	the	the	DET
bracis-28397	76	4	eigenvectors	eigenvector	NOUN
bracis-28397	76	5	and	and	CCONJ
bracis-28397	76	6	eigenvalues	eigenvalue	VERB
bracis-28397	76	7	for	for	ADP
bracis-28397	76	8	the	the	DET
bracis-28397	76	9	pca	pca	PROPN
bracis-28397	76	10	,	,	PUNCT
bracis-28397	76	11	we	we	PRON
bracis-28397	76	12	follow	follow	VERB
bracis-28397	76	13	a	a	DET
bracis-28397	76	14	class	class	NOUN
bracis-28397	76	15	-	-	PUNCT
bracis-28397	76	16	wise	wise	ADJ
bracis-28397	76	17	approach	approach	NOUN
bracis-28397	76	18	.	.	PUNCT
bracis-28397	77	1	therefore	therefore	ADV
bracis-28397	77	2	,	,	PUNCT
bracis-28397	77	3	we	we	PRON
bracis-28397	77	4	use	use	VERB
bracis-28397	77	5	the	the	DET
bracis-28397	77	6	collection	collection	NOUN
bracis-28397	77	7	of	of	ADP
bracis-28397	77	8	feature	feature	NOUN
bracis-28397	77	9	vectors	vector	NOUN
bracis-28397	77	10	related	relate	VERB
bracis-28397	77	11	to	to	ADP
bracis-28397	77	12	each	each	PRON
bracis-28397	77	13	of	of	ADP
bracis-28397	77	14	the	the	DET
bracis-28397	77	15	known	know	VERB
bracis-28397	77	16	classes	class	NOUN
bracis-28397	77	17	to	to	PART
bracis-28397	77	18	fit	fit	VERB
bracis-28397	77	19	the	the	DET
bracis-28397	77	20	parameters	parameter	NOUN
bracis-28397	77	21	of	of	ADP
bracis-28397	77	22	the	the	DET
bracis-28397	77	23	pca	pca	PROPN
bracis-28397	77	24	,	,	PUNCT
bracis-28397	77	25	creating	create	VERB
bracis-28397	77	26	a	a	DET
bracis-28397	77	27	specific	specific	ADJ
bracis-28397	77	28	dimensionality	dimensionality	NOUN
bracis-28397	77	29	reduction	reduction	NOUN
bracis-28397	77	30	for	for	ADP
bracis-28397	77	31	each	each	PRON
bracis-28397	77	32	of	of	ADP
bracis-28397	77	33	the	the	DET
bracis-28397	77	34	known	know	VERB
bracis-28397	77	35	classes	class	NOUN
bracis-28397	77	36	,	,	PUNCT
bracis-28397	77	37	according	accord	VERB
bracis-28397	77	38	to	to	ADP
bracis-28397	77	39	eq	eq	PROPN
bracis-28397	77	40	.	.	PUNCT
bracis-28397	77	41	 	 	SPACE
bracis-28397	77	42	1	1	NUM
bracis-28397	77	43	.	.	PUNCT
bracis-28397	77	44	$	$	SYM
bracis-28397	77	45	$	$	SYM
bracis-28397	77	46	\begin{aligned	\begin{aligne	VERB
bracis-28397	77	47	}	}	PUNCT
bracis-28397	77	48	h^{*}_c	h^{*}_c	ADJ
bracis-28397	77	49	=	=	PUNCT
bracis-28397	77	50	h	h	NOUN
bracis-28397	77	51	\cdot	\cdot	PROPN
bracis-28397	77	52	v_{c	v_{c	PROPN
bracis-28397	77	53	}	}	PUNCT
bracis-28397	77	54	\end{aligned}$$	\end{aligned}$$	X
bracis-28397	77	55	(	(	PUNCT
bracis-28397	77	56	1	1	NUM
bracis-28397	77	57	)	)	PUNCT
bracis-28397	77	58	where	where	SCONJ
bracis-28397	77	59	h	h	NOUN
bracis-28397	77	60	is	be	AUX
bracis-28397	77	61	the	the	DET
bracis-28397	77	62	feature	feature	NOUN
bracis-28397	77	63	representation	representation	NOUN
bracis-28397	77	64	,	,	PUNCT
bracis-28397	77	65	\(v_{c}\	\(v_{c}\	PROPN
bracis-28397	77	66	)	)	PUNCT
bracis-28397	77	67	is	be	AUX
bracis-28397	77	68	the	the	DET
bracis-28397	77	69	eigenvector	eigenvector	NOUN
bracis-28397	77	70	with	with	ADP
bracis-28397	77	71	the	the	DET
bracis-28397	77	72	highest	high	ADJ
bracis-28397	77	73	eigenvalues	eigenvalue	NOUN
bracis-28397	77	74	for	for	ADP
bracis-28397	77	75	dimensionality	dimensionality	NOUN
bracis-28397	77	76	reduction	reduction	NOUN
bracis-28397	77	77	for	for	ADP
bracis-28397	77	78	class	class	NOUN
bracis-28397	77	79	c	c	NOUN
bracis-28397	77	80	,	,	PUNCT
bracis-28397	77	81	and	and	CCONJ
bracis-28397	77	82	\(h^{*}_c\	\(h^{*}_c\	NOUN
bracis-28397	77	83	)	)	PUNCT
bracis-28397	77	84	is	be	AUX
bracis-28397	77	85	the	the	DET
bracis-28397	77	86	feature	feature	NOUN
bracis-28397	77	87	vector	vector	NOUN
bracis-28397	77	88	after	after	ADP
bracis-28397	77	89	transformation	transformation	NOUN
bracis-28397	77	90	for	for	ADP
bracis-28397	77	91	class	class	NOUN
bracis-28397	77	92	c.	c.	PROPN
bracis-28397	77	93	therefore	therefore	ADV
bracis-28397	77	94	,	,	PUNCT
bracis-28397	77	95	depending	depend	VERB
bracis-28397	77	96	on	on	ADP
bracis-28397	77	97	the	the	DET
bracis-28397	77	98	class	class	NOUN
bracis-28397	77	99	c	c	NOUN
bracis-28397	77	100	,	,	PUNCT
bracis-28397	77	101	the	the	DET
bracis-28397	77	102	resulting	result	VERB
bracis-28397	77	103	low	low	ADJ
bracis-28397	77	104	-	-	PUNCT
bracis-28397	77	105	dimension	dimension	NOUN
bracis-28397	77	106	feature	feature	NOUN
bracis-28397	77	107	vector	vector	NOUN
bracis-28397	77	108	\(h^{*}_{c}\	\(h^{*}_{c}\	ADV
bracis-28397	77	109	)	)	PUNCT
bracis-28397	77	110	can	can	AUX
bracis-28397	77	111	be	be	AUX
bracis-28397	77	112	different	different	ADJ
bracis-28397	77	113	.	.	PUNCT
bracis-28397	78	1	it	it	PRON
bracis-28397	78	2	is	be	AUX
bracis-28397	78	3	important	important	ADJ
bracis-28397	78	4	to	to	PART
bracis-28397	78	5	note	note	VERB
bracis-28397	78	6	that	that	SCONJ
bracis-28397	78	7	we	we	PRON
bracis-28397	78	8	can	can	AUX
bracis-28397	78	9	obtain	obtain	VERB
bracis-28397	78	10	different	different	ADJ
bracis-28397	78	11	low	low	ADJ
bracis-28397	78	12	-	-	PUNCT
bracis-28397	78	13	dimensional	dimensional	ADJ
bracis-28397	78	14	representations	representation	NOUN
bracis-28397	78	15	for	for	ADP
bracis-28397	78	16	the	the	DET
bracis-28397	78	17	same	same	ADJ
bracis-28397	78	18	feature	feature	NOUN
bracis-28397	78	19	vector	vector	NOUN
bracis-28397	78	20	h	h	NOUN
bracis-28397	78	21	,	,	PUNCT
bracis-28397	78	22	depending	depend	VERB
bracis-28397	78	23	on	on	ADP
bracis-28397	78	24	the	the	DET
bracis-28397	78	25	class	class	NOUN
bracis-28397	78	26	c	c	NOUN
bracis-28397	78	27	that	that	PRON
bracis-28397	78	28	we	we	PRON
bracis-28397	78	29	are	be	AUX
bracis-28397	78	30	evaluating	evaluate	VERB
bracis-28397	78	31	.	.	PUNCT
bracis-28397	79	1	the	the	DET
bracis-28397	79	2	ood	ood	PROPN
bracis-28397	79	3	score	score	NOUN
bracis-28397	79	4	is	be	AUX
bracis-28397	79	5	computed	compute	VERB
bracis-28397	79	6	by	by	ADP
bracis-28397	79	7	estimating	estimate	VERB
bracis-28397	79	8	how	how	SCONJ
bracis-28397	79	9	likely	likely	ADV
bracis-28397	79	10	the	the	DET
bracis-28397	79	11	feature	feature	NOUN
bracis-28397	79	12	vector	vector	NOUN
bracis-28397	79	13	is	be	AUX
bracis-28397	79	14	to	to	ADP
bracis-28397	79	15	each	each	PRON
bracis-28397	79	16	of	of	ADP
bracis-28397	79	17	the	the	DET
bracis-28397	79	18	known	know	VERB
bracis-28397	79	19	class	class	NOUN
bracis-28397	79	20	.	.	PUNCT
bracis-28397	80	1	in	in	ADP
bracis-28397	80	2	the	the	DET
bracis-28397	80	3	literature	literature	NOUN
bracis-28397	80	4	,	,	PUNCT
bracis-28397	80	5	the	the	DET
bracis-28397	80	6	gaussian	gaussian	ADJ
bracis-28397	80	7	density	density	NOUN
bracis-28397	80	8	estimator	estimator	NOUN
bracis-28397	80	9	was	be	AUX
bracis-28397	80	10	successfully	successfully	ADV
bracis-28397	80	11	used	use	VERB
bracis-28397	80	12	to	to	PART
bracis-28397	80	13	quantify	quantify	VERB
bracis-28397	80	14	the	the	DET
bracis-28397	80	15	ood	ood	PROPN
bracis-28397	80	16	-	-	PROPN
bracis-28397	80	17	ness	ness	NOUN
bracis-28397	81	1	[	[	X
bracis-28397	81	2	18	18	NUM
bracis-28397	81	3	,	,	PUNCT
bracis-28397	81	4	21	21	NUM
bracis-28397	81	5	]	]	PUNCT
bracis-28397	81	6	.	.	PUNCT
bracis-28397	82	1	therefore	therefore	ADV
bracis-28397	82	2	,	,	PUNCT
bracis-28397	82	3	we	we	PRON
bracis-28397	82	4	adopted	adopt	VERB
bracis-28397	82	5	the	the	DET
bracis-28397	82	6	gaussian	gaussian	ADJ
bracis-28397	82	7	density	density	NOUN
bracis-28397	82	8	estimator	estimator	NOUN
bracis-28397	82	9	to	to	PART
bracis-28397	82	10	fit	fit	VERB
bracis-28397	82	11	and	and	CCONJ
bracis-28397	82	12	compute	compute	VERB
bracis-28397	82	13	its	its	PRON
bracis-28397	82	14	corresponding	correspond	VERB
bracis-28397	82	15	likelihood	likelihood	NOUN
bracis-28397	82	16	.	.	PUNCT
bracis-28397	83	1	mathematically	mathematically	ADV
bracis-28397	83	2	,	,	PUNCT
bracis-28397	83	3	the	the	DET
bracis-28397	83	4	ood	ood	PROPN
bracis-28397	83	5	score	score	NOUN
bracis-28397	83	6	for	for	ADP
bracis-28397	83	7	each	each	DET
bracis-28397	83	8	class	class	NOUN
bracis-28397	83	9	c	c	PROPN
bracis-28397	83	10	is	be	AUX
bracis-28397	83	11	computed	compute	VERB
bracis-28397	83	12	according	accord	VERB
bracis-28397	83	13	to	to	ADP
bracis-28397	83	14	eq	eq	PROPN
bracis-28397	83	15	.	.	PUNCT
bracis-28397	83	16	 	 	SPACE
bracis-28397	83	17	2	2	NUM
bracis-28397	83	18	$	$	SYM
bracis-28397	83	19	$	$	SYM
bracis-28397	83	20	\begin{aligned	\begin{aligne	VERB
bracis-28397	83	21	}	}	PUNCT
bracis-28397	83	22	g_c(h^{*}_c	g_c(h^{*}_c	ADJ
bracis-28397	83	23	)	)	PUNCT
bracis-28397	83	24	=	=	PUNCT
bracis-28397	84	1	\frac{1}{\sqrt{2\pi	\frac{1}{\sqrt{2\pi	NOUN
bracis-28397	84	2	\sigma	\sigma	PROPN
bracis-28397	84	3	_	_	PRON
bracis-28397	84	4	{	{	PUNCT
bracis-28397	84	5	c}^2}}\exp	c}^2}}\exp	PROPN
bracis-28397	84	6	\left	\left	PROPN
bracis-28397	84	7	(	(	PUNCT
bracis-28397	84	8	-\frac{(h^{*}_c	-\frac{(h^{*}_c	PUNCT
bracis-28397	85	1	-\mu	-\mu	NOUN
bracis-28397	85	2	_	_	PUNCT
bracis-28397	85	3	{	{	PUNCT
bracis-28397	85	4	c})^2}{2\sigma	c})^2}{2\sigma	X
bracis-28397	85	5	_	_	NOUN
bracis-28397	85	6	{	{	PUNCT
bracis-28397	85	7	c}^2}\right	c}^2}\right	NOUN
bracis-28397	85	8	)	)	PUNCT
bracis-28397	85	9	\end{aligned}$$	\end{aligned}$$	X
bracis-28397	85	10	(	(	PUNCT
bracis-28397	85	11	2	2	NUM
bracis-28397	85	12	)	)	PUNCT
bracis-28397	85	13	where	where	SCONJ
bracis-28397	85	14	\(\mu	\(\mu	NOUN
bracis-28397	85	15	_	_	NOUN
bracis-28397	85	16	c\	c\	NOUN
bracis-28397	85	17	)	)	PUNCT
bracis-28397	85	18	and	and	CCONJ
bracis-28397	85	19	\(\sigma	\(\sigma	NOUN
bracis-28397	85	20	_	_	PUNCT
bracis-28397	85	21	c\	c\	NOUN
bracis-28397	85	22	)	)	PUNCT
bracis-28397	85	23	represents	represent	VERB
bracis-28397	85	24	the	the	DET
bracis-28397	85	25	mean	mean	ADJ
bracis-28397	85	26	and	and	CCONJ
bracis-28397	85	27	standard	standard	ADJ
bracis-28397	85	28	deviation	deviation	NOUN
bracis-28397	85	29	for	for	ADP
bracis-28397	85	30	a	a	DET
bracis-28397	85	31	known	know	VERB
bracis-28397	85	32	class	class	NOUN
bracis-28397	85	33	c	c	NOUN
bracis-28397	85	34	,	,	PUNCT
bracis-28397	85	35	and	and	CCONJ
bracis-28397	85	36	\(g_{c}(a^{*}_c)\	\(g_{c}(a^{*}_c)\	NOUN
bracis-28397	85	37	)	)	PUNCT
bracis-28397	85	38	represents	represent	VERB
bracis-28397	85	39	the	the	DET
bracis-28397	85	40	probability	probability	NOUN
bracis-28397	85	41	density	density	NOUN
bracis-28397	85	42	of	of	ADP
bracis-28397	85	43	\(h^{*}_c\	\(h^{*}_c\	NOUN
bracis-28397	85	44	)	)	PUNCT
bracis-28397	85	45	generated	generate	VERB
bracis-28397	85	46	by	by	ADP
bracis-28397	85	47	\(g_{c}\	\(g_{c}\	NOUN
bracis-28397	85	48	)	)	PUNCT
bracis-28397	85	49	.	.	PUNCT
bracis-28397	86	1	the	the	DET
bracis-28397	86	2	final	final	ADJ
bracis-28397	86	3	ood	ood	PROPN
bracis-28397	86	4	score	score	NOUN
bracis-28397	86	5	is	be	AUX
bracis-28397	86	6	the	the	DET
bracis-28397	86	7	maximum	maximum	ADJ
bracis-28397	86	8	log	log	NOUN
bracis-28397	86	9	-	-	PUNCT
bracis-28397	86	10	likelihood	likelihood	NOUN
bracis-28397	86	11	over	over	ADP
bracis-28397	86	12	all	all	DET
bracis-28397	86	13	known	know	VERB
bracis-28397	86	14	classes	class	NOUN
bracis-28397	86	15	,	,	PUNCT
bracis-28397	86	16	as	as	SCONJ
bracis-28397	86	17	defined	define	VERB
bracis-28397	86	18	in	in	ADP
bracis-28397	86	19	eq	eq	PROPN
bracis-28397	86	20	.	.	PUNCT
bracis-28397	86	21	 	 	SPACE
bracis-28397	87	1	3	3	NUM
bracis-28397	87	2	.	.	NOUN
bracis-28397	87	3	$	$	SYM
bracis-28397	87	4	$	$	SYM
bracis-28397	87	5	\begin{aligned	\begin{aligne	VERB
bracis-28397	87	6	}	}	PUNCT
bracis-28397	87	7	s	s	PART
bracis-28397	87	8	=	=	PUNCT
bracis-28397	87	9	\max	\max	PROPN
bracis-28397	87	10	_	_	PUNCT
bracis-28397	87	11	{	{	PUNCT
bracis-28397	87	12	c=1}^{n	c=1}^{n	NOUN
bracis-28397	87	13	}	}	PUNCT
bracis-28397	87	14	{	{	PUNCT
bracis-28397	87	15	\log	\log	PROPN
bracis-28397	87	16	\left	\left	PROPN
bracis-28397	87	17	[	[	PUNCT
bracis-28397	87	18	g_{c	g_{c	NOUN
bracis-28397	87	19	}	}	PUNCT
bracis-28397	87	20	\left	\left	PROPN
bracis-28397	87	21	(	(	PUNCT
bracis-28397	87	22	h^{*}_{c	h^{*}_{c	PROPN
bracis-28397	87	23	}	}	PUNCT
bracis-28397	87	24	\right	\right	NOUN
bracis-28397	87	25	)	)	PUNCT
bracis-28397	87	26	\right	\right	NOUN
bracis-28397	87	27	]	]	PUNCT
bracis-28397	87	28	}	}	PUNCT
bracis-28397	87	29	\end{aligned}$$	\end{aligned}$$	X
bracis-28397	87	30	(	(	PUNCT
bracis-28397	87	31	3	3	NUM
bracis-28397	87	32	)	)	PUNCT
bracis-28397	87	33	where	where	SCONJ
bracis-28397	87	34	n	n	PRON
bracis-28397	87	35	is	be	AUX
bracis-28397	87	36	the	the	DET
bracis-28397	87	37	number	number	NOUN
bracis-28397	87	38	of	of	ADP
bracis-28397	87	39	classes	class	NOUN
bracis-28397	87	40	.	.	PUNCT
bracis-28397	88	1	in	in	ADP
bracis-28397	88	2	summary	summary	NOUN
bracis-28397	88	3	,	,	PUNCT
bracis-28397	88	4	to	to	PART
bracis-28397	88	5	detect	detect	VERB
bracis-28397	88	6	if	if	SCONJ
bracis-28397	88	7	a	a	DET
bracis-28397	88	8	sample	sample	NOUN
bracis-28397	88	9	can	can	AUX
bracis-28397	88	10	be	be	AUX
bracis-28397	88	11	considered	consider	VERB
bracis-28397	88	12	as	as	ADP
bracis-28397	88	13	ood	ood	PROPN
bracis-28397	88	14	,	,	PUNCT
bracis-28397	88	15	we	we	PRON
bracis-28397	88	16	obtain	obtain	VERB
bracis-28397	88	17	its	its	PRON
bracis-28397	88	18	feature	feature	NOUN
bracis-28397	88	19	vector	vector	NOUN
bracis-28397	88	20	representation	representation	NOUN
bracis-28397	88	21	and	and	CCONJ
bracis-28397	88	22	apply	apply	VERB
bracis-28397	88	23	a	a	DET
bracis-28397	88	24	class	class	NOUN
bracis-28397	88	25	-	-	PUNCT
bracis-28397	88	26	wise	wise	ADJ
bracis-28397	88	27	dimensionality	dimensionality	NOUN
bracis-28397	88	28	reduction	reduction	NOUN
bracis-28397	88	29	,	,	PUNCT
bracis-28397	88	30	and	and	CCONJ
bracis-28397	88	31	for	for	ADP
bracis-28397	88	32	each	each	DET
bracis-28397	88	33	low	low	ADJ
bracis-28397	88	34	-	-	PUNCT
bracis-28397	88	35	dimensionality	dimensionality	NOUN
bracis-28397	88	36	representation	representation	NOUN
bracis-28397	88	37	vector	vector	NOUN
bracis-28397	88	38	,	,	PUNCT
bracis-28397	88	39	we	we	PRON
bracis-28397	88	40	calculate	calculate	VERB
bracis-28397	88	41	the	the	DET
bracis-28397	88	42	log	log	NOUN
bracis-28397	88	43	-	-	PUNCT
bracis-28397	88	44	likelihood	likelihood	NOUN
bracis-28397	88	45	to	to	ADP
bracis-28397	88	46	its	its	PRON
bracis-28397	88	47	corresponding	corresponding	ADJ
bracis-28397	88	48	class	class	NOUN
bracis-28397	88	49	.	.	PUNCT
bracis-28397	89	1	the	the	DET
bracis-28397	89	2	ood	ood	PROPN
bracis-28397	89	3	score	score	NOUN
bracis-28397	89	4	can	can	AUX
bracis-28397	89	5	be	be	AUX
bracis-28397	89	6	viewed	view	VERB
bracis-28397	89	7	as	as	ADP
bracis-28397	89	8	the	the	DET
bracis-28397	89	9	maximum	maximum	ADJ
bracis-28397	89	10	log	log	NOUN
bracis-28397	89	11	-	-	PUNCT
bracis-28397	89	12	likelihood	likelihood	NOUN
bracis-28397	89	13	over	over	ADP
bracis-28397	89	14	all	all	PRON
bracis-28397	89	15	of	of	ADP
bracis-28397	89	16	the	the	DET
bracis-28397	89	17	classes	class	NOUN
bracis-28397	89	18	.	.	PUNCT
bracis-28397	90	1	for	for	ADP
bracis-28397	90	2	an	an	DET
bracis-28397	90	3	i	i	PROPN
bracis-28397	90	4	d	d	PROPN
bracis-28397	90	5	sample	sample	NOUN
bracis-28397	90	6	,	,	PUNCT
bracis-28397	90	7	the	the	DET
bracis-28397	90	8	likelihood	likelihood	NOUN
bracis-28397	90	9	would	would	AUX
bracis-28397	90	10	be	be	AUX
bracis-28397	90	11	lower	low	ADJ
bracis-28397	90	12	for	for	ADP
bracis-28397	90	13	all	all	PRON
bracis-28397	90	14	of	of	ADP
bracis-28397	90	15	the	the	DET
bracis-28397	90	16	classes	class	NOUN
bracis-28397	90	17	,	,	PUNCT
bracis-28397	90	18	except	except	SCONJ
bracis-28397	90	19	for	for	ADP
bracis-28397	90	20	the	the	DET
bracis-28397	90	21	corresponding	corresponding	ADJ
bracis-28397	90	22	class	class	NOUN
bracis-28397	90	23	,	,	PUNCT
bracis-28397	90	24	which	which	PRON
bracis-28397	90	25	yields	yield	VERB
bracis-28397	90	26	a	a	DET
bracis-28397	90	27	high	high	ADJ
bracis-28397	90	28	s	s	X
bracis-28397	90	29	score	score	NOUN
bracis-28397	90	30	.	.	PUNCT
bracis-28397	91	1	as	as	ADP
bracis-28397	91	2	for	for	ADP
bracis-28397	91	3	the	the	DET
bracis-28397	91	4	ood	ood	PROPN
bracis-28397	91	5	sample	sample	NOUN
bracis-28397	91	6	,	,	PUNCT
bracis-28397	91	7	the	the	DET
bracis-28397	91	8	likelihood	likelihood	NOUN
bracis-28397	91	9	tends	tend	VERB
bracis-28397	91	10	to	to	PART
bracis-28397	91	11	be	be	AUX
bracis-28397	91	12	lower	low	ADJ
bracis-28397	91	13	for	for	ADP
bracis-28397	91	14	all	all	DET
bracis-28397	91	15	class	class	NOUN
bracis-28397	91	16	-	-	PUNCT
bracis-28397	91	17	wise	wise	ADJ
bracis-28397	91	18	distributions	distribution	NOUN
bracis-28397	91	19	,	,	PUNCT
bracis-28397	91	20	so	so	CCONJ
bracis-28397	91	21	the	the	DET
bracis-28397	91	22	score	score	NOUN
bracis-28397	91	23	s	s	AUX
bracis-28397	91	24	also	also	ADV
bracis-28397	91	25	is	be	AUX
bracis-28397	91	26	lower	low	ADJ
bracis-28397	91	27	.	.	PUNCT
bracis-28397	92	1	thereby	thereby	ADV
bracis-28397	92	2	,	,	PUNCT
bracis-28397	92	3	the	the	DET
bracis-28397	92	4	i	i	PROPN
bracis-28397	92	5	d	d	PROPN
bracis-28397	92	6	and	and	CCONJ
bracis-28397	92	7	ood	ood	PROPN
bracis-28397	92	8	samples	sample	NOUN
bracis-28397	92	9	can	can	AUX
bracis-28397	92	10	be	be	AUX
bracis-28397	92	11	distinguished	distinguish	VERB
bracis-28397	92	12	by	by	ADP
bracis-28397	92	13	setting	set	VERB
bracis-28397	92	14	a	a	DET
bracis-28397	92	15	threshold	threshold	NOUN
bracis-28397	92	16	value	value	NOUN
bracis-28397	92	17	for	for	SCONJ
bracis-28397	92	18	s.	s.	PROPN
bracis-28397	92	19	3.2	3.2	NUM
bracis-28397	92	20	ood	ood	PROPN
bracis-28397	92	21	detection	detection	NOUN
bracis-28397	92	22	in	in	ADP
bracis-28397	92	23	 	 	SPACE
bracis-28397	92	24	skin	skin	NOUN
bracis-28397	92	25	lesion	lesion	NOUN
bracis-28397	92	26	classification	classification	NOUN
bracis-28397	92	27	with	with	ADP
bracis-28397	92	28	the	the	DET
bracis-28397	92	29	world	world	NOUN
bracis-28397	92	30	constantly	constantly	ADV
bracis-28397	92	31	evolving	evolve	VERB
bracis-28397	92	32	,	,	PUNCT
bracis-28397	92	33	new	new	ADJ
bracis-28397	92	34	medical	medical	ADJ
bracis-28397	92	35	pathologies	pathology	NOUN
bracis-28397	92	36	are	be	AUX
bracis-28397	92	37	frequently	frequently	ADV
bracis-28397	92	38	discovered	discover	VERB
bracis-28397	92	39	through	through	ADP
bracis-28397	92	40	diagnosis	diagnosis	NOUN
bracis-28397	92	41	.	.	PUNCT
bracis-28397	93	1	however	however	ADV
bracis-28397	93	2	,	,	PUNCT
bracis-28397	93	3	the	the	DET
bracis-28397	93	4	identification	identification	NOUN
bracis-28397	93	5	of	of	ADP
bracis-28397	93	6	novel	novel	NOUN
bracis-28397	93	7	or	or	CCONJ
bracis-28397	93	8	rare	rare	ADJ
bracis-28397	93	9	diseases	disease	NOUN
bracis-28397	93	10	can	can	AUX
bracis-28397	93	11	be	be	AUX
bracis-28397	93	12	troublesome	troublesome	ADJ
bracis-28397	93	13	for	for	ADP
bracis-28397	93	14	dl	dl	NOUN
bracis-28397	93	15	-	-	PUNCT
bracis-28397	93	16	based	base	VERB
bracis-28397	93	17	automated	automated	ADJ
bracis-28397	93	18	diagnosis	diagnosis	NOUN
bracis-28397	93	19	,	,	PUNCT
bracis-28397	93	20	potentially	potentially	ADV
bracis-28397	93	21	leading	lead	VERB
bracis-28397	93	22	to	to	ADP
bracis-28397	93	23	incorrect	incorrect	ADJ
bracis-28397	93	24	classification	classification	NOUN
bracis-28397	93	25	and	and	CCONJ
bracis-28397	93	26	inappropriate	inappropriate	ADJ
bracis-28397	93	27	treatment	treatment	NOUN
bracis-28397	93	28	[	[	X
bracis-28397	93	29	36	36	NUM
bracis-28397	93	30	]	]	PUNCT
bracis-28397	93	31	.	.	PUNCT
bracis-28397	94	1	in	in	ADP
bracis-28397	94	2	such	such	ADJ
bracis-28397	94	3	cases	case	NOUN
bracis-28397	94	4	,	,	PUNCT
bracis-28397	94	5	ood	ood	PROPN
bracis-28397	94	6	detection	detection	NOUN
bracis-28397	94	7	methods	method	NOUN
bracis-28397	94	8	can	can	AUX
bracis-28397	94	9	play	play	VERB
bracis-28397	94	10	an	an	DET
bracis-28397	94	11	essential	essential	ADJ
bracis-28397	94	12	role	role	NOUN
bracis-28397	94	13	in	in	ADP
bracis-28397	94	14	identifying	identify	VERB
bracis-28397	94	15	whether	whether	SCONJ
bracis-28397	94	16	a	a	DET
bracis-28397	94	17	new	new	ADJ
bracis-28397	94	18	sample	sample	NOUN
bracis-28397	94	19	belongs	belong	VERB
bracis-28397	94	20	to	to	ADP
bracis-28397	94	21	any	any	PRON
bracis-28397	94	22	of	of	ADP
bracis-28397	94	23	the	the	DET
bracis-28397	94	24	known	know	VERB
bracis-28397	94	25	classes	class	NOUN
bracis-28397	94	26	of	of	ADP
bracis-28397	94	27	the	the	DET
bracis-28397	94	28	problem	problem	NOUN
bracis-28397	94	29	,	,	PUNCT
bracis-28397	94	30	thus	thus	ADV
bracis-28397	94	31	providing	provide	VERB
bracis-28397	94	32	an	an	DET
bracis-28397	94	33	auxiliary	auxiliary	ADJ
bracis-28397	94	34	task	task	NOUN
bracis-28397	94	35	for	for	ADP
bracis-28397	94	36	dl	dl	NOUN
bracis-28397	94	37	-	-	PUNCT
bracis-28397	94	38	based	base	VERB
bracis-28397	94	39	approaches	approach	NOUN
bracis-28397	94	40	.	.	PUNCT
bracis-28397	95	1	specifically	specifically	ADV
bracis-28397	95	2	for	for	ADP
bracis-28397	95	3	dermatological	dermatological	ADJ
bracis-28397	95	4	-	-	PUNCT
bracis-28397	95	5	related	relate	VERB
bracis-28397	95	6	tasks	task	NOUN
bracis-28397	95	7	,	,	PUNCT
bracis-28397	95	8	ood	ood	PROPN
bracis-28397	95	9	detection	detection	NOUN
bracis-28397	95	10	strategies	strategy	NOUN
bracis-28397	95	11	can	can	AUX
bracis-28397	95	12	be	be	AUX
bracis-28397	95	13	handy	handy	ADJ
bracis-28397	95	14	to	to	PART
bracis-28397	95	15	identify	identify	VERB
bracis-28397	95	16	samples	sample	NOUN
bracis-28397	95	17	from	from	ADP
bracis-28397	95	18	unseen	unseen	ADJ
bracis-28397	95	19	classes	class	NOUN
bracis-28397	95	20	during	during	ADP
bracis-28397	95	21	the	the	DET
bracis-28397	95	22	training	training	NOUN
bracis-28397	95	23	phase	phase	NOUN
bracis-28397	95	24	.	.	PUNCT
bracis-28397	96	1	for	for	ADP
bracis-28397	96	2	instance	instance	NOUN
bracis-28397	96	3	,	,	PUNCT
bracis-28397	96	4	consider	consider	VERB
bracis-28397	96	5	a	a	DET
bracis-28397	96	6	deep	deep	ADJ
bracis-28397	96	7	learning	learning	NOUN
bracis-28397	96	8	problem	problem	NOUN
bracis-28397	96	9	aimed	aim	VERB
bracis-28397	96	10	at	at	ADP
bracis-28397	96	11	automatically	automatically	ADV
bracis-28397	96	12	identifying	identify	VERB
bracis-28397	96	13	the	the	DET
bracis-28397	96	14	three	three	NUM
bracis-28397	96	15	most	most	ADV
bracis-28397	96	16	common	common	ADJ
bracis-28397	96	17	skin	skin	NOUN
bracis-28397	96	18	lesions	lesion	NOUN
bracis-28397	96	19	,	,	PUNCT
bracis-28397	96	20	as	as	SCONJ
bracis-28397	96	21	illustrated	illustrate	VERB
bracis-28397	96	22	in	in	ADP
bracis-28397	96	23	fig	fig	NOUN
bracis-28397	96	24	.	.	PUNCT
bracis-28397	96	25	 	 	SPACE
bracis-28397	97	1	2	2	X
bracis-28397	97	2	.	.	PUNCT
bracis-28397	97	3	in	in	ADP
bracis-28397	97	4	an	an	DET
bracis-28397	97	5	open	open	ADJ
bracis-28397	97	6	-	-	PUNCT
bracis-28397	97	7	set	set	VERB
bracis-28397	97	8	scenario	scenario	NOUN
bracis-28397	97	9	,	,	PUNCT
bracis-28397	97	10	the	the	DET
bracis-28397	97	11	trained	train	VERB
bracis-28397	97	12	model	model	NOUN
bracis-28397	97	13	may	may	AUX
bracis-28397	97	14	encounter	encounter	VERB
bracis-28397	97	15	unseen	unseen	ADJ
bracis-28397	97	16	skin	skin	NOUN
bracis-28397	97	17	lesions	lesion	NOUN
bracis-28397	97	18	,	,	PUNCT
bracis-28397	97	19	so	so	SCONJ
bracis-28397	97	20	it	it	PRON
bracis-28397	97	21	would	would	AUX
bracis-28397	97	22	be	be	AUX
bracis-28397	97	23	preferable	preferable	ADJ
bracis-28397	97	24	to	to	PART
bracis-28397	97	25	detect	detect	VERB
bracis-28397	97	26	them	they	PRON
bracis-28397	97	27	as	as	ADP
bracis-28397	97	28	unknown	unknown	ADJ
bracis-28397	97	29	instead	instead	ADV
bracis-28397	97	30	of	of	ADP
bracis-28397	97	31	erroneously	erroneously	ADV
bracis-28397	97	32	classifying	classify	VERB
bracis-28397	97	33	them	they	PRON
bracis-28397	97	34	as	as	ADP
bracis-28397	97	35	the	the	DET
bracis-28397	97	36	closer	close	ADV
bracis-28397	97	37	known	know	VERB
bracis-28397	97	38	class	class	NOUN
bracis-28397	97	39	.	.	PUNCT
bracis-28397	98	1	ideally	ideally	ADV
bracis-28397	98	2	,	,	PUNCT
bracis-28397	98	3	the	the	DET
bracis-28397	98	4	ood	ood	PROPN
bracis-28397	98	5	detection	detection	NOUN
bracis-28397	98	6	method	method	NOUN
bracis-28397	98	7	should	should	AUX
bracis-28397	98	8	be	be	AUX
bracis-28397	98	9	capable	capable	ADJ
bracis-28397	98	10	of	of	ADP
bracis-28397	98	11	correctly	correctly	ADV
bracis-28397	98	12	classifying	classify	VERB
bracis-28397	98	13	these	these	DET
bracis-28397	98	14	samples	sample	NOUN
bracis-28397	98	15	as	as	ADP
bracis-28397	98	16	ood	ood	PROPN
bracis-28397	98	17	,	,	PUNCT
bracis-28397	98	18	but	but	CCONJ
bracis-28397	98	19	this	this	PRON
bracis-28397	98	20	may	may	AUX
bracis-28397	98	21	depend	depend	VERB
bracis-28397	98	22	on	on	ADP
bracis-28397	98	23	the	the	DET
bracis-28397	98	24	chosen	choose	VERB
bracis-28397	98	25	strategy	strategy	NOUN
bracis-28397	99	1	[	[	X
bracis-28397	99	2	6	6	NUM
bracis-28397	99	3	]	]	PUNCT
bracis-28397	99	4	.	.	PUNCT
bracis-28397	100	1	especially	especially	ADV
bracis-28397	100	2	when	when	SCONJ
bracis-28397	100	3	i	i	PROPN
bracis-28397	100	4	d	d	PROPN
bracis-28397	100	5	and	and	CCONJ
bracis-28397	100	6	ood	ood	PROPN
bracis-28397	100	7	samples	sample	NOUN
bracis-28397	100	8	are	be	AUX
bracis-28397	100	9	visually	visually	ADV
bracis-28397	100	10	similar	similar	ADJ
bracis-28397	100	11	,	,	PUNCT
bracis-28397	100	12	it	it	PRON
bracis-28397	100	13	can	can	AUX
bracis-28397	100	14	be	be	AUX
bracis-28397	100	15	challenging	challenge	VERB
bracis-28397	100	16	to	to	PART
bracis-28397	100	17	distinguish	distinguish	VERB
bracis-28397	100	18	between	between	ADP
bracis-28397	100	19	known	known	ADJ
bracis-28397	100	20	and	and	CCONJ
bracis-28397	100	21	unknown	unknown	ADJ
bracis-28397	100	22	classes	class	NOUN
bracis-28397	100	23	[	[	X
bracis-28397	100	24	30	30	NUM
bracis-28397	100	25	]	]	PUNCT
bracis-28397	100	26	.	.	PUNCT
bracis-28397	101	1	fig	fig	NOUN
bracis-28397	101	2	.	.	PUNCT
bracis-28397	102	1	2	2	X
bracis-28397	102	2	.	.	X
bracis-28397	102	3	examples	example	NOUN
bracis-28397	102	4	of	of	ADP
bracis-28397	102	5	in	in	ADP
bracis-28397	102	6	-	-	PUNCT
bracis-28397	102	7	distributions	distribution	NOUN
bracis-28397	102	8	and	and	CCONJ
bracis-28397	102	9	out	out	ADP
bracis-28397	102	10	-	-	PUNCT
bracis-28397	102	11	of	of	ADP
bracis-28397	102	12	-	-	PUNCT
bracis-28397	102	13	distributions	distribution	NOUN
bracis-28397	102	14	samples	sample	NOUN
bracis-28397	102	15	of	of	ADP
bracis-28397	102	16	skin	skin	NOUN
bracis-28397	102	17	lesions	lesion	NOUN
bracis-28397	102	18	full	full	ADJ
bracis-28397	102	19	size	size	NOUN
bracis-28397	102	20	image	image	NOUN
bracis-28397	102	21	this	this	DET
bracis-28397	102	22	article	article	NOUN
bracis-28397	102	23	evaluates	evaluate	VERB
bracis-28397	102	24	the	the	DET
bracis-28397	102	25	feature	feature	NOUN
bracis-28397	102	26	space	space	NOUN
bracis-28397	102	27	-	-	PUNCT
bracis-28397	102	28	based	base	VERB
bracis-28397	102	29	ood	ood	PROPN
bracis-28397	102	30	detection	detection	NOUN
bracis-28397	102	31	method	method	NOUN
bracis-28397	102	32	in	in	ADP
bracis-28397	102	33	different	different	ADJ
bracis-28397	102	34	scenarios	scenario	NOUN
bracis-28397	102	35	.	.	PUNCT
bracis-28397	103	1	in	in	ADP
bracis-28397	103	2	some	some	DET
bracis-28397	103	3	experiments	experiment	NOUN
bracis-28397	103	4	,	,	PUNCT
bracis-28397	103	5	we	we	PRON
bracis-28397	103	6	verify	verify	VERB
bracis-28397	103	7	the	the	DET
bracis-28397	103	8	capability	capability	NOUN
bracis-28397	103	9	of	of	ADP
bracis-28397	103	10	the	the	DET
bracis-28397	103	11	openpcs	openpc	NOUN
bracis-28397	103	12	-	-	PUNCT
bracis-28397	103	13	class	class	NOUN
bracis-28397	103	14	to	to	PART
bracis-28397	103	15	detect	detect	VERB
bracis-28397	103	16	near	near	ADP
bracis-28397	103	17	-	-	PUNCT
bracis-28397	103	18	ood	ood	NOUN
bracis-28397	103	19	samples	sample	NOUN
bracis-28397	103	20	,	,	PUNCT
bracis-28397	103	21	typically	typically	ADV
bracis-28397	103	22	skin	skin	NOUN
bracis-28397	103	23	lesions	lesion	NOUN
bracis-28397	103	24	images	image	NOUN
bracis-28397	103	25	taken	take	VERB
bracis-28397	103	26	in	in	ADP
bracis-28397	103	27	the	the	DET
bracis-28397	103	28	same	same	ADJ
bracis-28397	103	29	settings	setting	NOUN
bracis-28397	103	30	as	as	ADP
bracis-28397	103	31	the	the	DET
bracis-28397	103	32	i	i	PROPN
bracis-28397	103	33	d	d	PROPN
bracis-28397	103	34	samples	sample	NOUN
bracis-28397	103	35	.	.	PUNCT
bracis-28397	104	1	we	we	PRON
bracis-28397	104	2	also	also	ADV
bracis-28397	104	3	evaluate	evaluate	VERB
bracis-28397	104	4	some	some	DET
bracis-28397	104	5	ood	ood	PROPN
bracis-28397	104	6	detection	detection	NOUN
bracis-28397	104	7	approaches	approach	VERB
bracis-28397	104	8	in	in	ADP
bracis-28397	104	9	the	the	DET
bracis-28397	104	10	same	same	ADJ
bracis-28397	104	11	problem	problem	NOUN
bracis-28397	104	12	(	(	PUNCT
bracis-28397	104	13	skin	skin	NOUN
bracis-28397	104	14	lesions	lesion	NOUN
bracis-28397	104	15	)	)	PUNCT
bracis-28397	104	16	,	,	PUNCT
bracis-28397	104	17	but	but	CCONJ
bracis-28397	104	18	under	under	ADP
bracis-28397	104	19	different	different	ADJ
bracis-28397	104	20	conditions	condition	NOUN
bracis-28397	104	21	to	to	PART
bracis-28397	104	22	evaluate	evaluate	VERB
bracis-28397	104	23	the	the	DET
bracis-28397	104	24	changing	changing	NOUN
bracis-28397	104	25	of	of	ADP
bracis-28397	104	26	such	such	ADJ
bracis-28397	104	27	ood	ood	PROPN
bracis-28397	104	28	detection	detection	NOUN
bracis-28397	104	29	strategies	strategy	NOUN
bracis-28397	104	30	.	.	PUNCT
bracis-28397	105	1	finally	finally	ADV
bracis-28397	105	2	,	,	PUNCT
bracis-28397	105	3	we	we	PRON
bracis-28397	105	4	also	also	ADV
bracis-28397	105	5	evaluate	evaluate	VERB
bracis-28397	105	6	these	these	DET
bracis-28397	105	7	models	model	NOUN
bracis-28397	105	8	in	in	ADP
bracis-28397	105	9	far	far	ADV
bracis-28397	105	10	-	-	PUNCT
bracis-28397	105	11	ood	ood	PROPN
bracis-28397	105	12	detection	detection	NOUN
bracis-28397	105	13	samples	sample	NOUN
bracis-28397	105	14	,	,	PUNCT
bracis-28397	105	15	but	but	CCONJ
bracis-28397	105	16	related	relate	VERB
bracis-28397	105	17	to	to	ADP
bracis-28397	105	18	medical	medical	ADJ
bracis-28397	105	19	applications	application	NOUN
bracis-28397	105	20	.	.	PUNCT
bracis-28397	106	1	4	4	NUM
bracis-28397	106	2	experiments	experiment	NOUN
bracis-28397	106	3	this	this	DET
bracis-28397	106	4	section	section	NOUN
bracis-28397	106	5	presents	present	VERB
bracis-28397	106	6	the	the	DET
bracis-28397	106	7	experimental	experimental	ADJ
bracis-28397	106	8	protocol	protocol	NOUN
bracis-28397	106	9	for	for	ADP
bracis-28397	106	10	our	our	PRON
bracis-28397	106	11	case	case	NOUN
bracis-28397	106	12	studies	study	NOUN
bracis-28397	106	13	in	in	ADP
bracis-28397	106	14	the	the	DET
bracis-28397	106	15	ood	ood	PROPN
bracis-28397	106	16	detection	detection	PROPN
bracis-28397	106	17	task	task	NOUN
bracis-28397	106	18	.	.	PUNCT
bracis-28397	107	1	in	in	ADP
bracis-28397	107	2	this	this	DET
bracis-28397	107	3	work	work	NOUN
bracis-28397	107	4	,	,	PUNCT
bracis-28397	107	5	we	we	PRON
bracis-28397	107	6	focused	focus	VERB
bracis-28397	107	7	on	on	ADP
bracis-28397	107	8	the	the	DET
bracis-28397	107	9	skin	skin	NOUN
bracis-28397	107	10	lesion	lesion	NOUN
bracis-28397	107	11	classification	classification	NOUN
bracis-28397	107	12	problem	problem	NOUN
bracis-28397	107	13	,	,	PUNCT
bracis-28397	107	14	selecting	select	VERB
bracis-28397	107	15	different	different	ADJ
bracis-28397	107	16	medical	medical	ADJ
bracis-28397	107	17	-	-	PUNCT
bracis-28397	107	18	related	relate	VERB
bracis-28397	107	19	samples	sample	NOUN
bracis-28397	107	20	as	as	ADP
bracis-28397	107	21	ood	ood	PROPN
bracis-28397	107	22	.	.	PROPN
bracis-28397	107	23	4.1	4.1	NUM
bracis-28397	107	24	ood	ood	PROPN
bracis-28397	107	25	methods	method	NOUN
bracis-28397	107	26	we	we	PRON
bracis-28397	107	27	evaluated	evaluate	VERB
bracis-28397	107	28	three	three	NUM
bracis-28397	107	29	robust	robust	ADJ
bracis-28397	107	30	methods	method	NOUN
bracis-28397	107	31	commonly	commonly	ADV
bracis-28397	107	32	employed	employ	VERB
bracis-28397	107	33	in	in	ADP
bracis-28397	107	34	this	this	DET
bracis-28397	107	35	area	area	NOUN
bracis-28397	107	36	to	to	PART
bracis-28397	107	37	assess	assess	VERB
bracis-28397	107	38	the	the	DET
bracis-28397	107	39	ood	ood	PROPN
bracis-28397	107	40	detection	detection	NOUN
bracis-28397	107	41	results	result	VERB
bracis-28397	107	42	.	.	PUNCT
bracis-28397	108	1	one	one	NUM
bracis-28397	108	2	of	of	ADP
bracis-28397	108	3	them	they	PRON
bracis-28397	108	4	is	be	AUX
bracis-28397	108	5	the	the	DET
bracis-28397	108	6	maximum	maximum	ADJ
bracis-28397	108	7	softmax	softmax	NOUN
bracis-28397	108	8	probability	probability	NOUN
bracis-28397	108	9	(	(	PUNCT
bracis-28397	108	10	msp	msp	PROPN
bracis-28397	108	11	)	)	PUNCT
bracis-28397	108	12	method	method	NOUN
bracis-28397	108	13	[	[	X
bracis-28397	108	14	11	11	NUM
bracis-28397	108	15	]	]	PUNCT
bracis-28397	108	16	,	,	PUNCT
bracis-28397	108	17	which	which	PRON
bracis-28397	108	18	is	be	AUX
bracis-28397	108	19	a	a	DET
bracis-28397	108	20	traditional	traditional	ADJ
bracis-28397	108	21	approach	approach	NOUN
bracis-28397	108	22	that	that	PRON
bracis-28397	108	23	utilizes	utilize	VERB
bracis-28397	108	24	the	the	DET
bracis-28397	108	25	softmax	softmax	NOUN
bracis-28397	108	26	probability	probability	NOUN
bracis-28397	108	27	vector	vector	NOUN
bracis-28397	108	28	to	to	PART
bracis-28397	108	29	identify	identify	VERB
bracis-28397	108	30	unknown	unknown	ADJ
bracis-28397	108	31	samples	sample	NOUN
bracis-28397	108	32	.	.	PUNCT
bracis-28397	109	1	by	by	ADP
bracis-28397	109	2	computing	compute	VERB
bracis-28397	109	3	the	the	DET
bracis-28397	109	4	maximum	maximum	ADJ
bracis-28397	109	5	probability	probability	NOUN
bracis-28397	109	6	value	value	NOUN
bracis-28397	109	7	of	of	ADP
bracis-28397	109	8	all	all	DET
bracis-28397	109	9	classes	class	NOUN
bracis-28397	109	10	,	,	PUNCT
bracis-28397	109	11	msp	msp	PROPN
bracis-28397	109	12	assumes	assume	VERB
bracis-28397	109	13	that	that	SCONJ
bracis-28397	109	14	a	a	DET
bracis-28397	109	15	lower	low	ADJ
bracis-28397	109	16	msp	msp	PROPN
bracis-28397	109	17	score	score	NOUN
bracis-28397	109	18	suggests	suggest	VERB
bracis-28397	109	19	that	that	SCONJ
bracis-28397	109	20	the	the	DET
bracis-28397	109	21	model	model	NOUN
bracis-28397	109	22	is	be	AUX
bracis-28397	109	23	less	less	ADV
bracis-28397	109	24	accurate	accurate	ADJ
bracis-28397	109	25	about	about	ADP
bracis-28397	109	26	the	the	DET
bracis-28397	109	27	predicted	predict	VERB
bracis-28397	109	28	class	class	NOUN
bracis-28397	109	29	,	,	PUNCT
bracis-28397	109	30	which	which	PRON
bracis-28397	109	31	could	could	AUX
bracis-28397	109	32	indicate	indicate	VERB
bracis-28397	109	33	an	an	DET
bracis-28397	109	34	ood	ood	PROPN
bracis-28397	109	35	sample	sample	NOUN
bracis-28397	109	36	.	.	PUNCT
bracis-28397	110	1	another	another	DET
bracis-28397	110	2	method	method	NOUN
bracis-28397	110	3	we	we	PRON
bracis-28397	110	4	selected	select	VERB
bracis-28397	110	5	is	be	AUX
bracis-28397	110	6	energy	energy	NOUN
bracis-28397	110	7	-	-	PUNCT
bracis-28397	110	8	based	base	VERB
bracis-28397	110	9	out	out	ADP
bracis-28397	110	10	-	-	PUNCT
bracis-28397	110	11	of	of	ADP
bracis-28397	110	12	-	-	PUNCT
bracis-28397	110	13	distribution	distribution	NOUN
bracis-28397	110	14	detection	detection	NOUN
bracis-28397	110	15	(	(	PUNCT
bracis-28397	110	16	ebo	ebo	PROPN
bracis-28397	110	17	)	)	PUNCT
bracis-28397	111	1	[	[	X
bracis-28397	111	2	16	16	NUM
bracis-28397	111	3	]	]	PUNCT
bracis-28397	111	4	,	,	PUNCT
bracis-28397	111	5	a	a	DET
bracis-28397	111	6	more	more	ADV
bracis-28397	111	7	sophisticated	sophisticated	ADJ
bracis-28397	111	8	technique	technique	NOUN
bracis-28397	111	9	that	that	PRON
bracis-28397	111	10	uses	use	VERB
bracis-28397	111	11	the	the	DET
bracis-28397	111	12	output	output	NOUN
bracis-28397	111	13	space	space	NOUN
bracis-28397	111	14	to	to	PART
bracis-28397	111	15	calculate	calculate	VERB
bracis-28397	111	16	the	the	DET
bracis-28397	111	17	ood	ood	PROPN
bracis-28397	111	18	score	score	PROPN
bracis-28397	111	19	.	.	PUNCT
bracis-28397	112	1	ebo	ebo	PROPN
bracis-28397	112	2	computes	compute	VERB
bracis-28397	112	3	the	the	DET
bracis-28397	112	4	entropy	entropy	NOUN
bracis-28397	112	5	of	of	ADP
bracis-28397	112	6	the	the	DET
bracis-28397	112	7	logit	logit	NOUN
bracis-28397	112	8	and	and	CCONJ
bracis-28397	112	9	employs	employ	VERB
bracis-28397	112	10	it	it	PRON
bracis-28397	112	11	as	as	ADP
bracis-28397	112	12	an	an	DET
bracis-28397	112	13	ood	ood	PROPN
bracis-28397	112	14	score	score	NOUN
bracis-28397	112	15	to	to	PART
bracis-28397	112	16	distinguish	distinguish	VERB
bracis-28397	112	17	between	between	ADP
bracis-28397	112	18	ood	ood	PROPN
bracis-28397	112	19	and	and	CCONJ
bracis-28397	112	20	i	i	PROPN
bracis-28397	112	21	d	d	PROPN
bracis-28397	112	22	samples	sample	NOUN
bracis-28397	112	23	.	.	PUNCT
bracis-28397	113	1	we	we	PRON
bracis-28397	113	2	also	also	ADV
bracis-28397	113	3	opted	opt	VERB
bracis-28397	113	4	for	for	ADP
bracis-28397	113	5	a	a	DET
bracis-28397	113	6	feature	feature	NOUN
bracis-28397	113	7	space	space	NOUN
bracis-28397	113	8	-	-	PUNCT
bracis-28397	113	9	based	base	VERB
bracis-28397	113	10	method	method	NOUN
bracis-28397	113	11	for	for	SCONJ
bracis-28397	113	12	ood	ood	PROPN
bracis-28397	113	13	detection	detection	PROPN
bracis-28397	113	14	to	to	PART
bracis-28397	113	15	provide	provide	VERB
bracis-28397	113	16	a	a	DET
bracis-28397	113	17	more	more	ADV
bracis-28397	113	18	insightful	insightful	ADJ
bracis-28397	113	19	discussion	discussion	NOUN
bracis-28397	113	20	of	of	ADP
bracis-28397	113	21	the	the	DET
bracis-28397	113	22	openpcs	openpc	NOUN
bracis-28397	113	23	-	-	PUNCT
bracis-28397	113	24	class	class	NOUN
bracis-28397	113	25	approach	approach	NOUN
bracis-28397	113	26	.	.	PUNCT
bracis-28397	114	1	the	the	DET
bracis-28397	114	2	mahalanobis	mahalanobis	ADJ
bracis-28397	114	3	ood	ood	PROPN
bracis-28397	114	4	detection	detection	PROPN
bracis-28397	114	5	method	method	NOUN
bracis-28397	114	6	[	[	X
bracis-28397	114	7	12	12	NUM
bracis-28397	114	8	]	]	PUNCT
bracis-28397	114	9	measures	measure	NOUN
bracis-28397	114	10	the	the	DET
bracis-28397	114	11	ood	ood	PROPN
bracis-28397	114	12	score	score	NOUN
bracis-28397	114	13	as	as	ADP
bracis-28397	114	14	the	the	DET
bracis-28397	114	15	mahalanobis	mahalanobis	ADJ
bracis-28397	114	16	distance	distance	NOUN
bracis-28397	114	17	of	of	ADP
bracis-28397	114	18	class	class	NOUN
bracis-28397	114	19	-	-	PUNCT
bracis-28397	114	20	conditional	conditional	ADJ
bracis-28397	114	21	gaussian	gaussian	ADJ
bracis-28397	114	22	distribution	distribution	NOUN
bracis-28397	114	23	in	in	ADP
bracis-28397	114	24	the	the	DET
bracis-28397	114	25	feature	feature	NOUN
bracis-28397	114	26	space	space	NOUN
bracis-28397	114	27	.	.	PUNCT
bracis-28397	115	1	in	in	ADP
bracis-28397	115	2	this	this	DET
bracis-28397	115	3	case	case	NOUN
bracis-28397	115	4	,	,	PUNCT
bracis-28397	115	5	if	if	SCONJ
bracis-28397	115	6	compared	compare	VERB
bracis-28397	115	7	to	to	ADP
bracis-28397	115	8	the	the	DET
bracis-28397	115	9	gaussian	gaussian	ADJ
bracis-28397	115	10	distributions	distribution	NOUN
bracis-28397	115	11	,	,	PUNCT
bracis-28397	115	12	ood	ood	PROPN
bracis-28397	115	13	samples	sample	NOUN
bracis-28397	115	14	are	be	AUX
bracis-28397	115	15	expected	expect	VERB
bracis-28397	115	16	to	to	PART
bracis-28397	115	17	be	be	AUX
bracis-28397	115	18	further	far	ADV
bracis-28397	115	19	away	away	ADV
bracis-28397	115	20	from	from	ADP
bracis-28397	115	21	i	i	PROPN
bracis-28397	115	22	d	d	PROPN
bracis-28397	115	23	samples	sample	NOUN
bracis-28397	115	24	.	.	PUNCT
bracis-28397	116	1	4.2	4.2	NUM
bracis-28397	116	2	datasets	dataset	NOUN
bracis-28397	116	3	for	for	ADP
bracis-28397	116	4	the	the	DET
bracis-28397	116	5	ood	ood	PROPN
bracis-28397	116	6	detection	detection	PROPN
bracis-28397	116	7	in	in	ADP
bracis-28397	116	8	medical	medical	ADJ
bracis-28397	116	9	multi	multi	ADJ
bracis-28397	116	10	-	-	ADJ
bracis-28397	116	11	class	class	ADJ
bracis-28397	116	12	classification	classification	NOUN
bracis-28397	116	13	,	,	PUNCT
bracis-28397	116	14	we	we	PRON
bracis-28397	116	15	have	have	AUX
bracis-28397	116	16	utilized	utilize	VERB
bracis-28397	116	17	the	the	DET
bracis-28397	116	18	ham10000	ham10000	PROPN
bracis-28397	116	19	dataset	dataset	VERB
bracis-28397	116	20	as	as	ADP
bracis-28397	116	21	our	our	PRON
bracis-28397	116	22	in	in	ADP
bracis-28397	116	23	-	-	PUNCT
bracis-28397	116	24	distribution	distribution	NOUN
bracis-28397	116	25	dataset	dataset	NOUN
bracis-28397	116	26	(	(	PUNCT
bracis-28397	116	27	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	116	28	)	)	PUNCT
bracis-28397	116	29	)	)	PUNCT
bracis-28397	116	30	for	for	ADP
bracis-28397	116	31	skin	skin	NOUN
bracis-28397	116	32	lesion	lesion	NOUN
bracis-28397	116	33	classification	classification	NOUN
bracis-28397	116	34	[	[	X
bracis-28397	116	35	27	27	NUM
bracis-28397	116	36	]	]	PUNCT
bracis-28397	116	37	.	.	PUNCT
bracis-28397	117	1	this	this	DET
bracis-28397	117	2	dataset	dataset	NOUN
bracis-28397	117	3	comprises	comprise	VERB
bracis-28397	117	4	10000	10000	NUM
bracis-28397	117	5	images	image	NOUN
bracis-28397	117	6	of	of	ADP
bracis-28397	117	7	seven	seven	NUM
bracis-28397	117	8	distinct	distinct	ADJ
bracis-28397	117	9	skin	skin	NOUN
bracis-28397	117	10	lesions	lesion	NOUN
bracis-28397	117	11	:	:	PUNCT
bracis-28397	117	12	melanocytic	melanocytic	ADJ
bracis-28397	117	13	nevi	nevi	NOUN
bracis-28397	117	14	,	,	PUNCT
bracis-28397	117	15	melanoma	melanoma	NOUN
bracis-28397	117	16	,	,	PUNCT
bracis-28397	117	17	benign	benign	ADJ
bracis-28397	117	18	keratosis	keratosis	NOUN
bracis-28397	117	19	-	-	PUNCT
bracis-28397	117	20	like	like	ADJ
bracis-28397	117	21	lesions	lesion	NOUN
bracis-28397	117	22	,	,	PUNCT
bracis-28397	117	23	basal	basal	ADJ
bracis-28397	117	24	cell	cell	NOUN
bracis-28397	117	25	carcinoma	carcinoma	NOUN
bracis-28397	117	26	,	,	PUNCT
bracis-28397	117	27	actinic	actinic	ADJ
bracis-28397	117	28	keratoses	keratose	NOUN
bracis-28397	117	29	,	,	PUNCT
bracis-28397	117	30	vascular	vascular	ADJ
bracis-28397	117	31	lesions	lesion	NOUN
bracis-28397	117	32	,	,	PUNCT
bracis-28397	117	33	and	and	CCONJ
bracis-28397	117	34	dermatofibroma	dermatofibroma	ADJ
bracis-28397	117	35	.	.	PUNCT
bracis-28397	118	1	for	for	ADP
bracis-28397	118	2	this	this	DET
bracis-28397	118	3	study	study	NOUN
bracis-28397	118	4	,	,	PUNCT
bracis-28397	118	5	we	we	PRON
bracis-28397	118	6	have	have	AUX
bracis-28397	118	7	selected	select	VERB
bracis-28397	118	8	the	the	DET
bracis-28397	118	9	first	first	ADJ
bracis-28397	118	10	four	four	NUM
bracis-28397	118	11	classes	class	NOUN
bracis-28397	118	12	as	as	ADP
bracis-28397	118	13	our	our	PRON
bracis-28397	118	14	i	i	PROPN
bracis-28397	118	15	d	d	PROPN
bracis-28397	118	16	classes	class	NOUN
bracis-28397	118	17	,	,	PUNCT
bracis-28397	118	18	which	which	PRON
bracis-28397	118	19	contain	contain	VERB
bracis-28397	118	20	6705	6705	NUM
bracis-28397	118	21	,	,	PUNCT
bracis-28397	118	22	1113	1113	NUM
bracis-28397	118	23	,	,	PUNCT
bracis-28397	118	24	1099	1099	NUM
bracis-28397	118	25	,	,	PUNCT
bracis-28397	118	26	and	and	CCONJ
bracis-28397	118	27	514	514	NUM
bracis-28397	118	28	samples	sample	NOUN
bracis-28397	118	29	,	,	PUNCT
bracis-28397	118	30	respectively	respectively	ADV
bracis-28397	118	31	.	.	PUNCT
bracis-28397	119	1	in	in	ADP
bracis-28397	119	2	addition	addition	NOUN
bracis-28397	119	3	,	,	PUNCT
bracis-28397	119	4	we	we	PRON
bracis-28397	119	5	have	have	AUX
bracis-28397	119	6	designated	designate	VERB
bracis-28397	119	7	the	the	DET
bracis-28397	119	8	remaining	remain	VERB
bracis-28397	119	9	three	three	NUM
bracis-28397	119	10	classes	class	NOUN
bracis-28397	119	11	as	as	SCONJ
bracis-28397	119	12	ood	ood	PROPN
bracis-28397	119	13	samples	sample	NOUN
bracis-28397	119	14	to	to	PART
bracis-28397	119	15	form	form	VERB
bracis-28397	119	16	the	the	DET
bracis-28397	119	17	basis	basis	NOUN
bracis-28397	119	18	of	of	ADP
bracis-28397	119	19	our	our	PRON
bracis-28397	119	20	first	first	ADJ
bracis-28397	119	21	case	case	NOUN
bracis-28397	119	22	study	study	NOUN
bracis-28397	119	23	.	.	PUNCT
bracis-28397	120	1	for	for	ADP
bracis-28397	120	2	the	the	DET
bracis-28397	120	3	other	other	ADJ
bracis-28397	120	4	experiments	experiment	NOUN
bracis-28397	120	5	,	,	PUNCT
bracis-28397	120	6	we	we	PRON
bracis-28397	120	7	maintain	maintain	VERB
bracis-28397	120	8	the	the	DET
bracis-28397	120	9	same	same	ADJ
bracis-28397	120	10	\(d_{in}\	\(d_{in}\	NOUN
bracis-28397	120	11	)	)	PUNCT
bracis-28397	120	12	and	and	CCONJ
bracis-28397	120	13	i	i	PROPN
bracis-28397	120	14	d	d	PROPN
bracis-28397	120	15	classes	class	NOUN
bracis-28397	120	16	,	,	PUNCT
bracis-28397	120	17	changing	change	VERB
bracis-28397	120	18	the	the	DET
bracis-28397	120	19	ood	ood	PROPN
bracis-28397	120	20	samples	sample	NOUN
bracis-28397	120	21	.	.	PUNCT
bracis-28397	121	1	the	the	DET
bracis-28397	121	2	dataset	dataset	NOUN
bracis-28397	121	3	from	from	ADP
bracis-28397	121	4	the	the	DET
bracis-28397	121	5	second	second	ADJ
bracis-28397	121	6	case	case	NOUN
bracis-28397	121	7	study	study	NOUN
bracis-28397	121	8	consists	consist	VERB
bracis-28397	121	9	of	of	ADP
bracis-28397	121	10	a	a	DET
bracis-28397	121	11	wide	wide	ADJ
bracis-28397	121	12	range	range	NOUN
bracis-28397	121	13	of	of	ADP
bracis-28397	121	14	skin	skin	NOUN
bracis-28397	121	15	lesion	lesion	NOUN
bracis-28397	121	16	images	image	NOUN
bracis-28397	121	17	taken	take	VERB
bracis-28397	121	18	in	in	ADP
bracis-28397	121	19	different	different	ADJ
bracis-28397	121	20	parts	part	NOUN
bracis-28397	121	21	of	of	ADP
bracis-28397	121	22	the	the	DET
bracis-28397	121	23	body	body	NOUN
bracis-28397	121	24	.	.	PUNCT
bracis-28397	122	1	however	however	ADV
bracis-28397	122	2	,	,	PUNCT
bracis-28397	122	3	a	a	DET
bracis-28397	122	4	significant	significant	ADJ
bracis-28397	122	5	issue	issue	NOUN
bracis-28397	122	6	with	with	ADP
bracis-28397	122	7	this	this	DET
bracis-28397	122	8	dataset	dataset	NOUN
bracis-28397	122	9	is	be	AUX
bracis-28397	122	10	that	that	SCONJ
bracis-28397	122	11	some	some	DET
bracis-28397	122	12	classes	class	NOUN
bracis-28397	122	13	overlap	overlap	VERB
bracis-28397	122	14	with	with	ADP
bracis-28397	122	15	those	those	PRON
bracis-28397	122	16	found	find	VERB
bracis-28397	122	17	in	in	ADP
bracis-28397	122	18	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	122	19	)	)	PUNCT
bracis-28397	122	20	.	.	PUNCT
bracis-28397	123	1	therefore	therefore	ADV
bracis-28397	123	2	,	,	PUNCT
bracis-28397	123	3	to	to	PART
bracis-28397	123	4	ensure	ensure	VERB
bracis-28397	123	5	a	a	DET
bracis-28397	123	6	fair	fair	ADJ
bracis-28397	123	7	comparison	comparison	NOUN
bracis-28397	123	8	of	of	ADP
bracis-28397	123	9	the	the	DET
bracis-28397	123	10	ood	ood	PROPN
bracis-28397	123	11	detection	detection	PROPN
bracis-28397	123	12	task	task	NOUN
bracis-28397	123	13	,	,	PUNCT
bracis-28397	123	14	we	we	PRON
bracis-28397	123	15	remove	remove	VERB
bracis-28397	123	16	the	the	DET
bracis-28397	123	17	overlapping	overlap	VERB
bracis-28397	123	18	classes	class	NOUN
bracis-28397	123	19	from	from	ADP
bracis-28397	123	20	\(d_{out}\	\(d_{out}\	NOUN
bracis-28397	123	21	)	)	PUNCT
bracis-28397	123	22	.	.	PUNCT
bracis-28397	124	1	the	the	DET
bracis-28397	124	2	third	third	ADV
bracis-28397	124	3	selected	select	VERB
bracis-28397	124	4	\(d_{out}\	\(d_{out}\	NOUN
bracis-28397	124	5	)	)	PUNCT
bracis-28397	124	6	is	be	AUX
bracis-28397	124	7	related	relate	VERB
bracis-28397	124	8	to	to	ADP
bracis-28397	124	9	the	the	DET
bracis-28397	124	10	monkeypox	monkeypox	PROPN
bracis-28397	124	11	classification	classification	NOUN
bracis-28397	124	12	problem	problem	NOUN
bracis-28397	124	13	[	[	X
bracis-28397	124	14	1	1	NUM
bracis-28397	124	15	]	]	PUNCT
bracis-28397	124	16	.	.	PUNCT
bracis-28397	125	1	the	the	DET
bracis-28397	125	2	dataset	dataset	NOUN
bracis-28397	125	3	contains	contain	VERB
bracis-28397	125	4	images	image	NOUN
bracis-28397	125	5	of	of	ADP
bracis-28397	125	6	monkeypox	monkeypox	NOUN
bracis-28397	125	7	lesions	lesion	NOUN
bracis-28397	125	8	and	and	CCONJ
bracis-28397	125	9	different	different	ADJ
bracis-28397	125	10	skin	skin	NOUN
bracis-28397	125	11	lesions	lesion	NOUN
bracis-28397	125	12	(	(	PUNCT
bracis-28397	125	13	e.g.	e.g.	ADV
bracis-28397	125	14	,	,	PUNCT
bracis-28397	125	15	chickenpox	chickenpox	NOUN
bracis-28397	125	16	)	)	PUNCT
bracis-28397	125	17	,	,	PUNCT
bracis-28397	125	18	given	give	VERB
bracis-28397	125	19	that	that	SCONJ
bracis-28397	125	20	the	the	DET
bracis-28397	125	21	problem	problem	NOUN
bracis-28397	125	22	originally	originally	ADV
bracis-28397	125	23	was	be	AUX
bracis-28397	125	24	built	build	VERB
bracis-28397	125	25	as	as	ADP
bracis-28397	125	26	a	a	DET
bracis-28397	125	27	binary	binary	ADJ
bracis-28397	125	28	classification	classification	NOUN
bracis-28397	125	29	to	to	PART
bracis-28397	125	30	identify	identify	VERB
bracis-28397	125	31	whether	whether	SCONJ
bracis-28397	125	32	a	a	DET
bracis-28397	125	33	lesion	lesion	NOUN
bracis-28397	125	34	can	can	AUX
bracis-28397	125	35	be	be	AUX
bracis-28397	125	36	considered	consider	VERB
bracis-28397	125	37	monkeypox	monkeypox	NOUN
bracis-28397	125	38	.	.	PUNCT
bracis-28397	126	1	therefore	therefore	ADV
bracis-28397	126	2	,	,	PUNCT
bracis-28397	126	3	we	we	PRON
bracis-28397	126	4	used	use	VERB
bracis-28397	126	5	all	all	DET
bracis-28397	126	6	images	image	NOUN
bracis-28397	126	7	from	from	ADP
bracis-28397	126	8	this	this	DET
bracis-28397	126	9	dataset	dataset	NOUN
bracis-28397	126	10	as	as	ADP
bracis-28397	126	11	ood	ood	PROPN
bracis-28397	126	12	samples	sample	NOUN
bracis-28397	126	13	in	in	ADP
bracis-28397	126	14	the	the	DET
bracis-28397	126	15	third	third	ADJ
bracis-28397	126	16	experiment	experiment	NOUN
bracis-28397	126	17	.	.	PUNCT
bracis-28397	127	1	for	for	ADP
bracis-28397	127	2	the	the	DET
bracis-28397	127	3	fourth	fourth	ADJ
bracis-28397	127	4	case	case	NOUN
bracis-28397	127	5	study	study	NOUN
bracis-28397	127	6	,	,	PUNCT
bracis-28397	127	7	we	we	PRON
bracis-28397	127	8	have	have	AUX
bracis-28397	127	9	manually	manually	ADV
bracis-28397	127	10	selected	select	VERB
bracis-28397	127	11	images	image	NOUN
bracis-28397	127	12	of	of	ADP
bracis-28397	127	13	rare	rare	ADJ
bracis-28397	127	14	skin	skin	NOUN
bracis-28397	127	15	lesions	lesion	NOUN
bracis-28397	127	16	that	that	PRON
bracis-28397	127	17	do	do	AUX
bracis-28397	127	18	not	not	PART
bracis-28397	127	19	belong	belong	VERB
bracis-28397	127	20	to	to	ADP
bracis-28397	127	21	any	any	PRON
bracis-28397	127	22	of	of	ADP
bracis-28397	127	23	the	the	DET
bracis-28397	127	24	classes	class	NOUN
bracis-28397	127	25	in	in	ADP
bracis-28397	127	26	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	127	27	)	)	PUNCT
bracis-28397	127	28	.	.	PUNCT
bracis-28397	128	1	in	in	ADP
bracis-28397	128	2	this	this	DET
bracis-28397	128	3	experiment	experiment	NOUN
bracis-28397	128	4	,	,	PUNCT
bracis-28397	128	5	we	we	PRON
bracis-28397	128	6	have	have	AUX
bracis-28397	128	7	included	include	VERB
bracis-28397	128	8	additional	additional	ADJ
bracis-28397	128	9	i	i	PROPN
bracis-28397	128	10	d	d	PROPN
bracis-28397	128	11	images	image	NOUN
bracis-28397	128	12	obtained	obtain	VERB
bracis-28397	128	13	from	from	ADP
bracis-28397	128	14	different	different	ADJ
bracis-28397	128	15	circumstances	circumstance	NOUN
bracis-28397	128	16	than	than	ADP
bracis-28397	128	17	those	those	PRON
bracis-28397	128	18	found	find	VERB
bracis-28397	128	19	in	in	ADP
bracis-28397	128	20	the	the	DET
bracis-28397	128	21	ham10000	ham10000	PROPN
bracis-28397	128	22	dataset	dataset	PROPN
bracis-28397	128	23	.	.	PUNCT
bracis-28397	129	1	this	this	DET
bracis-28397	129	2	collection	collection	NOUN
bracis-28397	129	3	of	of	ADP
bracis-28397	129	4	images	image	NOUN
bracis-28397	129	5	will	will	AUX
bracis-28397	129	6	enable	enable	VERB
bracis-28397	129	7	us	we	PRON
bracis-28397	129	8	to	to	PART
bracis-28397	129	9	gain	gain	VERB
bracis-28397	129	10	practical	practical	ADJ
bracis-28397	129	11	insights	insight	NOUN
bracis-28397	129	12	into	into	ADP
bracis-28397	129	13	the	the	DET
bracis-28397	129	14	identification	identification	NOUN
bracis-28397	129	15	of	of	ADP
bracis-28397	129	16	unknown	unknown	ADJ
bracis-28397	129	17	and	and	CCONJ
bracis-28397	129	18	uncommon	uncommon	ADJ
bracis-28397	129	19	classes	class	NOUN
bracis-28397	129	20	in	in	ADP
bracis-28397	129	21	skin	skin	NOUN
bracis-28397	129	22	lesion	lesion	NOUN
bracis-28397	129	23	classification	classification	NOUN
bracis-28397	129	24	and	and	CCONJ
bracis-28397	129	25	evaluate	evaluate	VERB
bracis-28397	129	26	how	how	SCONJ
bracis-28397	129	27	the	the	DET
bracis-28397	129	28	ood	ood	PROPN
bracis-28397	129	29	detection	detection	NOUN
bracis-28397	129	30	methods	method	NOUN
bracis-28397	129	31	perform	perform	VERB
bracis-28397	129	32	when	when	SCONJ
bracis-28397	129	33	presented	present	VERB
bracis-28397	129	34	with	with	ADP
bracis-28397	129	35	different	different	ADJ
bracis-28397	129	36	i	i	PROPN
bracis-28397	129	37	d	d	PROPN
bracis-28397	129	38	samples	sample	NOUN
bracis-28397	129	39	.	.	PUNCT
bracis-28397	130	1	4.3	4.3	NUM
bracis-28397	130	2	metrics	metric	NOUN
bracis-28397	130	3	to	to	PART
bracis-28397	130	4	compare	compare	VERB
bracis-28397	130	5	the	the	DET
bracis-28397	130	6	methods	method	NOUN
bracis-28397	130	7	,	,	PUNCT
bracis-28397	130	8	we	we	PRON
bracis-28397	130	9	selected	select	VERB
bracis-28397	130	10	three	three	NUM
bracis-28397	130	11	metrics	metric	NOUN
bracis-28397	130	12	to	to	PART
bracis-28397	130	13	evaluate	evaluate	VERB
bracis-28397	130	14	the	the	DET
bracis-28397	130	15	ood	ood	PROPN
bracis-28397	130	16	detection	detection	PROPN
bracis-28397	130	17	task	task	NOUN
bracis-28397	130	18	in	in	ADP
bracis-28397	130	19	multi	multi	ADJ
bracis-28397	130	20	-	-	ADJ
bracis-28397	130	21	classification	classification	ADJ
bracis-28397	130	22	problems	problem	NOUN
bracis-28397	130	23	[	[	X
bracis-28397	130	24	35	35	NUM
bracis-28397	130	25	]	]	PUNCT
bracis-28397	130	26	.	.	PUNCT
bracis-28397	131	1	auroc	auroc	NOUN
bracis-28397	131	2	(	(	PUNCT
bracis-28397	131	3	area	area	NOUN
bracis-28397	131	4	under	under	ADP
bracis-28397	131	5	recall	recall	NOUN
bracis-28397	131	6	operating	operating	NOUN
bracis-28397	131	7	curve	curve	NOUN
bracis-28397	131	8	)	)	PUNCT
bracis-28397	131	9	summarizes	summarize	VERB
bracis-28397	131	10	the	the	DET
bracis-28397	131	11	recall	recall	NOUN
bracis-28397	131	12	operating	operating	NOUN
bracis-28397	131	13	curve	curve	NOUN
bracis-28397	131	14	(	(	PUNCT
bracis-28397	131	15	roc	roc	PROPN
bracis-28397	131	16	)	)	PUNCT
bracis-28397	131	17	as	as	ADP
bracis-28397	131	18	calculating	calculate	VERB
bracis-28397	131	19	the	the	DET
bracis-28397	131	20	area	area	NOUN
bracis-28397	131	21	under	under	ADP
bracis-28397	131	22	the	the	DET
bracis-28397	131	23	curve	curve	NOUN
bracis-28397	131	24	.	.	PUNCT
bracis-28397	132	1	as	as	SCONJ
bracis-28397	132	2	roc	roc	PROPN
bracis-28397	132	3	is	be	AUX
bracis-28397	132	4	usually	usually	ADV
bracis-28397	132	5	used	use	VERB
bracis-28397	132	6	in	in	ADP
bracis-28397	132	7	a	a	DET
bracis-28397	132	8	binary	binary	ADJ
bracis-28397	132	9	classification	classification	NOUN
bracis-28397	132	10	problem	problem	NOUN
bracis-28397	132	11	,	,	PUNCT
bracis-28397	132	12	to	to	PART
bracis-28397	132	13	evaluate	evaluate	VERB
bracis-28397	132	14	the	the	DET
bracis-28397	132	15	ood	ood	PROPN
bracis-28397	132	16	detection	detection	PROPN
bracis-28397	132	17	task	task	NOUN
bracis-28397	132	18	using	use	VERB
bracis-28397	132	19	this	this	DET
bracis-28397	132	20	metric	metric	NOUN
bracis-28397	132	21	,	,	PUNCT
bracis-28397	132	22	we	we	PRON
bracis-28397	132	23	consider	consider	VERB
bracis-28397	132	24	only	only	ADV
bracis-28397	132	25	i	i	PROPN
bracis-28397	132	26	d	d	PROPN
bracis-28397	132	27	and	and	CCONJ
bracis-28397	132	28	ood	ood	PROPN
bracis-28397	132	29	classes	class	NOUN
bracis-28397	132	30	,	,	PUNCT
bracis-28397	132	31	independently	independently	ADV
bracis-28397	132	32	from	from	ADP
bracis-28397	132	33	the	the	DET
bracis-28397	132	34	fine	fine	ADV
bracis-28397	132	35	-	-	PUNCT
bracis-28397	132	36	grained	grain	VERB
bracis-28397	132	37	classes	class	NOUN
bracis-28397	132	38	.	.	PUNCT
bracis-28397	133	1	mathematically	mathematically	ADV
bracis-28397	133	2	,	,	PUNCT
bracis-28397	133	3	the	the	DET
bracis-28397	133	4	auroc	auroc	NOUN
bracis-28397	133	5	can	can	AUX
bracis-28397	133	6	be	be	AUX
bracis-28397	133	7	approximated	approximate	VERB
bracis-28397	133	8	as	as	ADP
bracis-28397	133	9	evaluating	evaluate	VERB
bracis-28397	133	10	the	the	DET
bracis-28397	133	11	true	true	ADJ
bracis-28397	133	12	positive	positive	ADJ
bracis-28397	133	13	rate	rate	NOUN
bracis-28397	133	14	(	(	PUNCT
bracis-28397	133	15	tpr	tpr	NOUN
bracis-28397	133	16	)	)	PUNCT
bracis-28397	133	17	and	and	CCONJ
bracis-28397	133	18	false	false	ADJ
bracis-28397	133	19	positive	positive	ADJ
bracis-28397	133	20	rate	rate	NOUN
bracis-28397	133	21	(	(	PUNCT
bracis-28397	133	22	fpr	fpr	NOUN
bracis-28397	133	23	)	)	PUNCT
bracis-28397	133	24	at	at	ADP
bracis-28397	133	25	discrete	discrete	ADJ
bracis-28397	133	26	threshold	threshold	NOUN
bracis-28397	133	27	values	value	NOUN
bracis-28397	133	28	,	,	PUNCT
bracis-28397	133	29	presented	present	VERB
bracis-28397	133	30	in	in	ADP
bracis-28397	133	31	eq	eq	ADP
bracis-28397	133	32	.	.	PUNCT
bracis-28397	133	33	 	 	SPACE
bracis-28397	133	34	4	4	NUM
bracis-28397	133	35	$	$	SYM
bracis-28397	133	36	$	$	SYM
bracis-28397	133	37	\begin{aligned	\begin{aligne	VERB
bracis-28397	133	38	}	}	PUNCT
bracis-28397	133	39	\text	\text	ADP
bracis-28397	133	40	{	{	PUNCT
bracis-28397	133	41	auroc	auroc	NOUN
bracis-28397	133	42	}	}	PUNCT
bracis-28397	133	43	=	=	SYM
bracis-28397	133	44	\sum	\sum	NOUN
bracis-28397	133	45	_	_	PUNCT
bracis-28397	133	46	{	{	PUNCT
bracis-28397	133	47	i=1}^{n-1	i=1}^{n-1	NOUN
bracis-28397	133	48	}	}	PUNCT
bracis-28397	133	49	\frac{1}{2	\frac{1}{2	NOUN
bracis-28397	133	50	}	}	PUNCT
bracis-28397	133	51	(	(	PUNCT
bracis-28397	133	52	x_{i+1	x_{i+1	PROPN
bracis-28397	133	53	}	}	PUNCT
bracis-28397	133	54	x_i	x_i	PUNCT
bracis-28397	133	55	)	)	PUNCT
bracis-28397	133	56	(	(	PUNCT
bracis-28397	133	57	y_i	y_i	X
bracis-28397	133	58	+	+	CCONJ
bracis-28397	133	59	y_{i+1	y_{i+1	NOUN
bracis-28397	133	60	}	}	PUNCT
bracis-28397	133	61	)	)	PUNCT
bracis-28397	133	62	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-28397	133	63	(	(	PUNCT
bracis-28397	133	64	4	4	NUM
bracis-28397	133	65	)	)	PUNCT
bracis-28397	133	66	where	where	SCONJ
bracis-28397	133	67	n	n	PRON
bracis-28397	133	68	is	be	AUX
bracis-28397	133	69	the	the	DET
bracis-28397	133	70	number	number	NOUN
bracis-28397	133	71	of	of	ADP
bracis-28397	133	72	thresholds	threshold	NOUN
bracis-28397	133	73	,	,	PUNCT
bracis-28397	133	74	\(x_i\	\(x_i\	NOUN
bracis-28397	133	75	)	)	PUNCT
bracis-28397	133	76	and	and	CCONJ
bracis-28397	133	77	\(y_i\	\(y_i\	NOUN
bracis-28397	133	78	)	)	PUNCT
bracis-28397	133	79	are	be	AUX
bracis-28397	133	80	the	the	DET
bracis-28397	133	81	false	false	ADJ
bracis-28397	133	82	positive	positive	ADJ
bracis-28397	133	83	and	and	CCONJ
bracis-28397	133	84	true	true	ADJ
bracis-28397	133	85	positive	positive	ADJ
bracis-28397	133	86	rates	rate	NOUN
bracis-28397	133	87	,	,	PUNCT
bracis-28397	133	88	respectively	respectively	ADV
bracis-28397	133	89	,	,	PUNCT
bracis-28397	133	90	at	at	ADP
bracis-28397	133	91	the	the	DET
bracis-28397	133	92	i	i	PROPN
bracis-28397	133	93	-	-	PUNCT
bracis-28397	133	94	th	th	VERB
bracis-28397	133	95	threshold	threshold	NOUN
bracis-28397	133	96	.	.	PUNCT
bracis-28397	134	1	aupr	aupr	NOUN
bracis-28397	134	2	(	(	PUNCT
bracis-28397	134	3	area	area	NOUN
bracis-28397	134	4	under	under	ADP
bracis-28397	134	5	precision	precision	NOUN
bracis-28397	134	6	-	-	PUNCT
bracis-28397	134	7	recall	recall	NOUN
bracis-28397	134	8	curve	curve	NOUN
bracis-28397	134	9	)	)	PUNCT
bracis-28397	134	10	is	be	AUX
bracis-28397	134	11	a	a	DET
bracis-28397	134	12	metric	metric	NOUN
bracis-28397	134	13	that	that	PRON
bracis-28397	134	14	summarizes	summarize	VERB
bracis-28397	134	15	the	the	DET
bracis-28397	134	16	precision	precision	NOUN
bracis-28397	134	17	-	-	PUNCT
bracis-28397	134	18	recall	recall	NOUN
bracis-28397	134	19	trade	trade	NOUN
bracis-28397	134	20	-	-	PUNCT
bracis-28397	134	21	off	off	NOUN
bracis-28397	134	22	for	for	ADP
bracis-28397	134	23	different	different	ADJ
bracis-28397	134	24	threshold	threshold	NOUN
bracis-28397	134	25	values	value	NOUN
bracis-28397	134	26	for	for	ADP
bracis-28397	134	27	a	a	DET
bracis-28397	134	28	specific	specific	ADJ
bracis-28397	134	29	class	class	NOUN
bracis-28397	134	30	.	.	PUNCT
bracis-28397	135	1	this	this	DET
bracis-28397	135	2	metric	metric	NOUN
bracis-28397	135	3	is	be	AUX
bracis-28397	135	4	highly	highly	ADV
bracis-28397	135	5	important	important	ADJ
bracis-28397	135	6	for	for	ADP
bracis-28397	135	7	imbalance	imbalance	NOUN
bracis-28397	135	8	problems	problem	NOUN
bracis-28397	135	9	,	,	PUNCT
bracis-28397	135	10	which	which	PRON
bracis-28397	135	11	may	may	AUX
bracis-28397	135	12	be	be	AUX
bracis-28397	135	13	the	the	DET
bracis-28397	135	14	case	case	NOUN
bracis-28397	135	15	for	for	ADP
bracis-28397	135	16	our	our	PRON
bracis-28397	135	17	experiments	experiment	NOUN
bracis-28397	135	18	.	.	PUNCT
bracis-28397	136	1	therefore	therefore	ADV
bracis-28397	136	2	,	,	PUNCT
bracis-28397	136	3	we	we	PRON
bracis-28397	136	4	calculate	calculate	VERB
bracis-28397	136	5	the	the	DET
bracis-28397	136	6	aupr	aupr	NOUN
bracis-28397	136	7	for	for	ADP
bracis-28397	136	8	the	the	DET
bracis-28397	136	9	ood	ood	PROPN
bracis-28397	136	10	class	class	PROPN
bracis-28397	136	11	.	.	PUNCT
bracis-28397	137	1	fpr95	fpr95	PROPN
bracis-28397	137	2	indicates	indicate	VERB
bracis-28397	137	3	the	the	DET
bracis-28397	137	4	false	false	ADJ
bracis-28397	137	5	positive	positive	ADJ
bracis-28397	137	6	rate	rate	NOUN
bracis-28397	137	7	(	(	PUNCT
bracis-28397	137	8	fpr	fpr	NOUN
bracis-28397	137	9	)	)	PUNCT
bracis-28397	137	10	when	when	SCONJ
bracis-28397	137	11	the	the	DET
bracis-28397	137	12	true	true	ADJ
bracis-28397	137	13	positive	positive	ADJ
bracis-28397	137	14	rate	rate	NOUN
bracis-28397	137	15	(	(	PUNCT
bracis-28397	137	16	tpr	tpr	NOUN
bracis-28397	137	17	)	)	PUNCT
bracis-28397	137	18	is	be	AUX
bracis-28397	137	19	95	95	NUM
bracis-28397	137	20	%	%	NOUN
bracis-28397	137	21	.	.	PUNCT
bracis-28397	138	1	typically	typically	ADV
bracis-28397	138	2	,	,	PUNCT
bracis-28397	138	3	the	the	DET
bracis-28397	138	4	fpr95	fpr95	NOUN
bracis-28397	138	5	describes	describe	VERB
bracis-28397	138	6	how	how	SCONJ
bracis-28397	138	7	likely	likely	ADV
bracis-28397	138	8	the	the	DET
bracis-28397	138	9	method	method	NOUN
bracis-28397	138	10	could	could	AUX
bracis-28397	138	11	erroneously	erroneously	ADV
bracis-28397	138	12	classify	classify	VERB
bracis-28397	138	13	as	as	ADV
bracis-28397	138	14	unknown	unknown	ADJ
bracis-28397	138	15	at	at	ADP
bracis-28397	138	16	a	a	DET
bracis-28397	138	17	reasonably	reasonably	ADV
bracis-28397	138	18	high	high	ADJ
bracis-28397	138	19	tpr	tpr	NOUN
bracis-28397	138	20	.	.	PUNCT
bracis-28397	139	1	therefore	therefore	ADV
bracis-28397	139	2	,	,	PUNCT
bracis-28397	139	3	the	the	PRON
bracis-28397	139	4	lower	low	ADJ
bracis-28397	139	5	the	the	DET
bracis-28397	139	6	fpr95	fpr95	PROPN
bracis-28397	139	7	is	be	AUX
bracis-28397	139	8	,	,	PUNCT
bracis-28397	139	9	the	the	PRON
bracis-28397	139	10	better	well	ADJ
bracis-28397	139	11	the	the	DET
bracis-28397	139	12	ood	ood	PROPN
bracis-28397	139	13	detection	detection	NOUN
bracis-28397	139	14	method	method	NOUN
bracis-28397	139	15	.	.	PUNCT
bracis-28397	140	1	unlike	unlike	ADP
bracis-28397	140	2	the	the	DET
bracis-28397	140	3	other	other	ADJ
bracis-28397	140	4	ones	one	NOUN
bracis-28397	140	5	,	,	PUNCT
bracis-28397	140	6	this	this	PRON
bracis-28397	140	7	is	be	AUX
bracis-28397	140	8	a	a	DET
bracis-28397	140	9	dependent	dependent	ADJ
bracis-28397	140	10	,	,	PUNCT
bracis-28397	140	11	since	since	SCONJ
bracis-28397	140	12	we	we	PRON
bracis-28397	140	13	define	define	VERB
bracis-28397	140	14	a	a	DET
bracis-28397	140	15	cutoff	cutoff	NOUN
bracis-28397	140	16	value	value	NOUN
bracis-28397	140	17	to	to	PART
bracis-28397	140	18	classify	classify	VERB
bracis-28397	140	19	as	as	ADV
bracis-28397	140	20	known	know	VERB
bracis-28397	140	21	or	or	CCONJ
bracis-28397	140	22	unknown	unknown	ADJ
bracis-28397	140	23	.	.	PUNCT
bracis-28397	141	1	4.4	4.4	NUM
bracis-28397	141	2	experimental	experimental	ADJ
bracis-28397	141	3	details	detail	NOUN
bracis-28397	141	4	to	to	PART
bracis-28397	141	5	evaluate	evaluate	VERB
bracis-28397	141	6	our	our	PRON
bracis-28397	141	7	proposed	propose	VERB
bracis-28397	141	8	approach	approach	NOUN
bracis-28397	141	9	,	,	PUNCT
bracis-28397	141	10	we	we	PRON
bracis-28397	141	11	used	use	VERB
bracis-28397	141	12	the	the	DET
bracis-28397	141	13	same	same	ADJ
bracis-28397	141	14	experimental	experimental	ADJ
bracis-28397	141	15	procedure	procedure	NOUN
bracis-28397	141	16	in	in	ADP
bracis-28397	141	17	all	all	DET
bracis-28397	141	18	experiments	experiment	NOUN
bracis-28397	141	19	.	.	PUNCT
bracis-28397	142	1	for	for	ADP
bracis-28397	142	2	the	the	DET
bracis-28397	142	3	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	142	4	)	)	PUNCT
bracis-28397	142	5	,	,	PUNCT
bracis-28397	142	6	we	we	PRON
bracis-28397	142	7	split	split	VERB
bracis-28397	142	8	the	the	DET
bracis-28397	142	9	dataset	dataset	NOUN
bracis-28397	142	10	proportionally	proportionally	ADV
bracis-28397	142	11	into	into	ADP
bracis-28397	142	12	training	training	NOUN
bracis-28397	142	13	(	(	PUNCT
bracis-28397	142	14	60	60	NUM
bracis-28397	142	15	%	%	NOUN
bracis-28397	142	16	)	)	PUNCT
bracis-28397	142	17	,	,	PUNCT
bracis-28397	142	18	validation(20	validation(20	VERB
bracis-28397	142	19	%	%	NOUN
bracis-28397	142	20	)	)	PUNCT
bracis-28397	142	21	,	,	PUNCT
bracis-28397	142	22	and	and	CCONJ
bracis-28397	142	23	test	test	NOUN
bracis-28397	142	24	(	(	PUNCT
bracis-28397	142	25	20	20	NUM
bracis-28397	142	26	%	%	NOUN
bracis-28397	142	27	)	)	PUNCT
bracis-28397	142	28	sets	set	NOUN
bracis-28397	142	29	.	.	PUNCT
bracis-28397	143	1	we	we	PRON
bracis-28397	143	2	fit	fit	VERB
bracis-28397	143	3	the	the	DET
bracis-28397	143	4	ood	ood	PROPN
bracis-28397	143	5	detection	detection	NOUN
bracis-28397	143	6	methods	method	NOUN
bracis-28397	143	7	using	use	VERB
bracis-28397	143	8	the	the	DET
bracis-28397	143	9	training	training	NOUN
bracis-28397	143	10	set	set	NOUN
bracis-28397	143	11	and	and	CCONJ
bracis-28397	143	12	,	,	PUNCT
bracis-28397	143	13	for	for	ADP
bracis-28397	143	14	all	all	DET
bracis-28397	143	15	experiments	experiment	NOUN
bracis-28397	143	16	,	,	PUNCT
bracis-28397	143	17	we	we	PRON
bracis-28397	143	18	use	use	VERB
bracis-28397	143	19	the	the	DET
bracis-28397	143	20	test	test	NOUN
bracis-28397	143	21	samples	sample	NOUN
bracis-28397	143	22	from	from	ADP
bracis-28397	143	23	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	143	24	)	)	PUNCT
bracis-28397	143	25	and	and	CCONJ
bracis-28397	143	26	the	the	DET
bracis-28397	143	27	whole	whole	ADJ
bracis-28397	143	28	\(d_{out}\	\(d_{out}\	NOUN
bracis-28397	143	29	)	)	PUNCT
bracis-28397	143	30	to	to	PART
bracis-28397	143	31	evaluate	evaluate	VERB
bracis-28397	143	32	the	the	DET
bracis-28397	143	33	separability	separability	NOUN
bracis-28397	143	34	between	between	ADP
bracis-28397	143	35	i	i	PROPN
bracis-28397	143	36	d	d	PROPN
bracis-28397	143	37	and	and	CCONJ
bracis-28397	143	38	ood	ood	PROPN
bracis-28397	143	39	samples	sample	NOUN
bracis-28397	143	40	,	,	PUNCT
bracis-28397	143	41	respectively	respectively	ADV
bracis-28397	143	42	.	.	PUNCT
bracis-28397	144	1	during	during	ADP
bracis-28397	144	2	the	the	DET
bracis-28397	144	3	testing	testing	NOUN
bracis-28397	144	4	phase	phase	NOUN
bracis-28397	144	5	,	,	PUNCT
bracis-28397	144	6	we	we	PRON
bracis-28397	144	7	randomly	randomly	ADV
bracis-28397	144	8	selected	select	VERB
bracis-28397	144	9	500	500	NUM
bracis-28397	144	10	samples	sample	NOUN
bracis-28397	144	11	from	from	ADP
bracis-28397	144	12	each	each	DET
bracis-28397	144	13	set	set	NOUN
bracis-28397	144	14	of	of	ADP
bracis-28397	144	15	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	144	16	)	)	PUNCT
bracis-28397	144	17	and	and	CCONJ
bracis-28397	144	18	\(d_{out}\	\(d_{out}\	NOUN
bracis-28397	144	19	)	)	PUNCT
bracis-28397	144	20	(	(	PUNCT
bracis-28397	144	21	when	when	SCONJ
bracis-28397	144	22	applicable	applicable	ADJ
bracis-28397	144	23	)	)	PUNCT
bracis-28397	144	24	and	and	CCONJ
bracis-28397	144	25	computed	compute	VERB
bracis-28397	144	26	the	the	DET
bracis-28397	144	27	average	average	ADJ
bracis-28397	144	28	metrics	metric	NOUN
bracis-28397	144	29	over	over	ADP
bracis-28397	144	30	ten	ten	NUM
bracis-28397	144	31	runs	run	NOUN
bracis-28397	144	32	.	.	PUNCT
bracis-28397	145	1	we	we	PRON
bracis-28397	145	2	also	also	ADV
bracis-28397	145	3	used	use	VERB
bracis-28397	145	4	the	the	DET
bracis-28397	145	5	wilcoxon	wilcoxon	ADJ
bracis-28397	145	6	signed	sign	VERB
bracis-28397	145	7	-	-	PUNCT
bracis-28397	145	8	test	test	NOUN
bracis-28397	145	9	rank	rank	NOUN
bracis-28397	145	10	to	to	PART
bracis-28397	145	11	verify	verify	VERB
bracis-28397	145	12	the	the	DET
bracis-28397	145	13	statistical	statistical	ADJ
bracis-28397	145	14	significance	significance	NOUN
bracis-28397	145	15	between	between	ADP
bracis-28397	145	16	the	the	DET
bracis-28397	145	17	best	good	ADJ
bracis-28397	145	18	result	result	NOUN
bracis-28397	145	19	metric	metric	ADJ
bracis-28397	145	20	and	and	CCONJ
bracis-28397	145	21	all	all	DET
bracis-28397	145	22	others	other	NOUN
bracis-28397	145	23	.	.	PUNCT
bracis-28397	146	1	in	in	ADP
bracis-28397	146	2	sect	sect	NOUN
bracis-28397	146	3	.	.	PUNCT
bracis-28397	146	4	 	 	SPACE
bracis-28397	146	5	5	5	NUM
bracis-28397	146	6	,	,	PUNCT
bracis-28397	146	7	we	we	PRON
bracis-28397	146	8	denote	denote	VERB
bracis-28397	146	9	an	an	DET
bracis-28397	146	10	average	average	ADJ
bracis-28397	146	11	result	result	NOUN
bracis-28397	146	12	with	with	ADP
bracis-28397	146	13	a	a	DET
bracis-28397	146	14	statistical	statistical	ADJ
bracis-28397	146	15	difference	difference	NOUN
bracis-28397	146	16	using	use	VERB
bracis-28397	146	17	an	an	DET
bracis-28397	146	18	underscore	underscore	NOUN
bracis-28397	146	19	in	in	ADP
bracis-28397	146	20	the	the	DET
bracis-28397	146	21	tables	table	NOUN
bracis-28397	146	22	.	.	PUNCT
bracis-28397	147	1	we	we	PRON
bracis-28397	147	2	also	also	ADV
bracis-28397	147	3	assess	assess	VERB
bracis-28397	147	4	the	the	DET
bracis-28397	147	5	impact	impact	NOUN
bracis-28397	147	6	of	of	ADP
bracis-28397	147	7	the	the	DET
bracis-28397	147	8	ood	ood	PROPN
bracis-28397	147	9	detection	detection	NOUN
bracis-28397	147	10	methods	method	NOUN
bracis-28397	147	11	in	in	ADP
bracis-28397	147	12	different	different	ADJ
bracis-28397	147	13	model	model	NOUN
bracis-28397	147	14	architectures	architecture	NOUN
bracis-28397	147	15	.	.	PUNCT
bracis-28397	148	1	as	as	SCONJ
bracis-28397	148	2	our	our	PRON
bracis-28397	148	3	problem	problem	NOUN
bracis-28397	148	4	is	be	AUX
bracis-28397	148	5	related	relate	VERB
bracis-28397	148	6	to	to	ADP
bracis-28397	148	7	the	the	DET
bracis-28397	148	8	image	image	NOUN
bracis-28397	148	9	classification	classification	NOUN
bracis-28397	148	10	,	,	PUNCT
bracis-28397	148	11	we	we	PRON
bracis-28397	148	12	selected	select	VERB
bracis-28397	148	13	three	three	NUM
bracis-28397	148	14	models	model	NOUN
bracis-28397	148	15	,	,	PUNCT
bracis-28397	148	16	vision	vision	NOUN
bracis-28397	148	17	transformer	transformer	NOUN
bracis-28397	148	18	(	(	PUNCT
bracis-28397	148	19	vit	vit	NOUN
bracis-28397	148	20	)	)	PUNCT
bracis-28397	148	21	model	model	NOUN
bracis-28397	149	1	[	[	X
bracis-28397	149	2	7	7	NUM
bracis-28397	149	3	]	]	PUNCT
bracis-28397	149	4	,	,	PUNCT
bracis-28397	149	5	convnext	convnext	PROPN
bracis-28397	150	1	[	[	X
bracis-28397	150	2	17	17	NUM
bracis-28397	150	3	]	]	PUNCT
bracis-28397	150	4	,	,	PUNCT
bracis-28397	150	5	and	and	CCONJ
bracis-28397	150	6	resnet	resnet	VERB
bracis-28397	150	7	[	[	X
bracis-28397	150	8	8	8	NUM
bracis-28397	150	9	]	]	PUNCT
bracis-28397	150	10	.	.	PUNCT
bracis-28397	151	1	for	for	ADP
bracis-28397	151	2	the	the	DET
bracis-28397	151	3	first	first	ADJ
bracis-28397	151	4	two	two	NUM
bracis-28397	151	5	architectures	architecture	NOUN
bracis-28397	151	6	,	,	PUNCT
bracis-28397	151	7	we	we	PRON
bracis-28397	151	8	used	use	VERB
bracis-28397	151	9	the	the	DET
bracis-28397	151	10	pre	pre	ADJ
bracis-28397	151	11	-	-	ADJ
bracis-28397	151	12	trained	train	VERB
bracis-28397	151	13	weights	weight	NOUN
bracis-28397	151	14	on	on	ADP
bracis-28397	151	15	imagenet1k	imagenet1k	PROPN
bracis-28397	151	16	and	and	CCONJ
bracis-28397	151	17	finetuned	finetune	VERB
bracis-28397	151	18	the	the	DET
bracis-28397	151	19	classification	classification	NOUN
bracis-28397	151	20	layer	layer	NOUN
bracis-28397	151	21	in	in	ADP
bracis-28397	151	22	the	the	DET
bracis-28397	151	23	\(d_{in}\	\(d_{in}\	NOUN
bracis-28397	151	24	)	)	PUNCT
bracis-28397	151	25	problem	problem	NOUN
bracis-28397	151	26	.	.	PUNCT
bracis-28397	152	1	for	for	ADP
bracis-28397	152	2	the	the	DET
bracis-28397	152	3	resnet	resnet	NOUN
bracis-28397	152	4	model	model	NOUN
bracis-28397	152	5	architectures	architecture	NOUN
bracis-28397	152	6	,	,	PUNCT
bracis-28397	152	7	we	we	PRON
bracis-28397	152	8	trained	train	VERB
bracis-28397	152	9	from	from	ADP
bracis-28397	152	10	scratch	scratch	NOUN
bracis-28397	152	11	,	,	PUNCT
bracis-28397	152	12	following	follow	VERB
bracis-28397	152	13	a	a	DET
bracis-28397	152	14	similar	similar	ADJ
bracis-28397	152	15	training	training	NOUN
bracis-28397	152	16	procedure	procedure	NOUN
bracis-28397	152	17	as	as	SCONJ
bracis-28397	152	18	presented	present	VERB
bracis-28397	152	19	in	in	ADP
bracis-28397	152	20	the	the	DET
bracis-28397	152	21	literature	literature	NOUN
bracis-28397	152	22	[	[	X
bracis-28397	152	23	29	29	NUM
bracis-28397	152	24	]	]	PUNCT
bracis-28397	152	25	.	.	PUNCT
bracis-28397	153	1	5	5	NUM
bracis-28397	153	2	discussion	discussion	NOUN
bracis-28397	153	3	and	and	CCONJ
bracis-28397	153	4	 	 	SPACE
bracis-28397	153	5	results	result	NOUN
bracis-28397	153	6	this	this	DET
bracis-28397	153	7	section	section	NOUN
bracis-28397	153	8	contains	contain	VERB
bracis-28397	153	9	the	the	DET
bracis-28397	153	10	results	result	NOUN
bracis-28397	153	11	of	of	ADP
bracis-28397	153	12	the	the	DET
bracis-28397	153	13	four	four	NUM
bracis-28397	153	14	case	case	NOUN
bracis-28397	153	15	studies	study	NOUN
bracis-28397	153	16	in	in	ADP
bracis-28397	153	17	medical	medical	ADJ
bracis-28397	153	18	applications	application	NOUN
bracis-28397	153	19	.	.	PUNCT
bracis-28397	154	1	it	it	PRON
bracis-28397	154	2	is	be	AUX
bracis-28397	154	3	important	important	ADJ
bracis-28397	154	4	to	to	PART
bracis-28397	154	5	note	note	VERB
bracis-28397	154	6	that	that	SCONJ
bracis-28397	154	7	the	the	DET
bracis-28397	154	8	selected	select	VERB
bracis-28397	154	9	ood	ood	PROPN
bracis-28397	154	10	detection	detection	NOUN
bracis-28397	154	11	methods	method	NOUN
bracis-28397	154	12	are	be	AUX
bracis-28397	154	13	similar	similar	ADJ
bracis-28397	154	14	in	in	ADP
bracis-28397	154	15	the	the	DET
bracis-28397	154	16	experimental	experimental	ADJ
bracis-28397	154	17	setup	setup	NOUN
bracis-28397	154	18	(	(	PUNCT
bracis-28397	154	19	i.e.	i.e.	X
bracis-28397	154	20	,	,	PUNCT
bracis-28397	154	21	it	it	PRON
bracis-28397	154	22	does	do	AUX
bracis-28397	154	23	not	not	PART
bracis-28397	154	24	require	require	VERB
bracis-28397	154	25	any	any	DET
bracis-28397	154	26	model	model	NOUN
bracis-28397	154	27	retraining	retraining	NOUN
bracis-28397	154	28	and	and	CCONJ
bracis-28397	154	29	just	just	ADV
bracis-28397	154	30	one	one	NUM
bracis-28397	154	31	forward	forward	ADV
bracis-28397	154	32	pass	pass	NOUN
bracis-28397	154	33	is	be	AUX
bracis-28397	154	34	needed	need	VERB
bracis-28397	154	35	to	to	PART
bracis-28397	154	36	identify	identify	VERB
bracis-28397	154	37	ood	ood	PROPN
bracis-28397	154	38	samples	sample	NOUN
bracis-28397	154	39	)	)	PUNCT
bracis-28397	154	40	,	,	PUNCT
bracis-28397	154	41	but	but	CCONJ
bracis-28397	154	42	use	use	VERB
bracis-28397	154	43	different	different	ADJ
bracis-28397	154	44	approaches	approach	NOUN
bracis-28397	154	45	to	to	PART
bracis-28397	154	46	detect	detect	VERB
bracis-28397	154	47	unseen	unseen	ADJ
bracis-28397	154	48	classes	class	NOUN
bracis-28397	154	49	.	.	PUNCT
bracis-28397	155	1	for	for	ADP
bracis-28397	155	2	the	the	DET
bracis-28397	155	3	first	first	ADJ
bracis-28397	155	4	experiment	experiment	NOUN
bracis-28397	155	5	,	,	PUNCT
bracis-28397	155	6	table	table	NOUN
bracis-28397	155	7	 	 	SPACE
bracis-28397	155	8	1	1	NUM
bracis-28397	155	9	summarizes	summarize	VERB
bracis-28397	155	10	the	the	DET
bracis-28397	155	11	results	result	NOUN
bracis-28397	155	12	for	for	ADP
bracis-28397	155	13	different	different	ADJ
bracis-28397	155	14	ood	ood	PROPN
bracis-28397	155	15	detection	detection	NOUN
bracis-28397	155	16	methods	method	NOUN
bracis-28397	155	17	and	and	CCONJ
bracis-28397	155	18	architectures	architecture	NOUN
bracis-28397	155	19	.	.	PUNCT
bracis-28397	156	1	table	table	NOUN
bracis-28397	156	2	1	1	NUM
bracis-28397	156	3	.	.	PUNCT
bracis-28397	156	4	ood	ood	PROPN
bracis-28397	156	5	detection	detection	NOUN
bracis-28397	156	6	results	result	NOUN
bracis-28397	156	7	for	for	ADP
bracis-28397	156	8	experiment	experiment	NOUN
bracis-28397	156	9	1full	1full	NUM
bracis-28397	156	10	size	size	NOUN
bracis-28397	156	11	table	table	NOUN
bracis-28397	156	12	the	the	DET
bracis-28397	156	13	first	first	ADJ
bracis-28397	156	14	experiment	experiment	NOUN
bracis-28397	156	15	is	be	AUX
bracis-28397	156	16	a	a	DET
bracis-28397	156	17	more	more	ADV
bracis-28397	156	18	challenging	challenging	ADJ
bracis-28397	156	19	for	for	ADP
bracis-28397	156	20	discriminating	discriminate	VERB
bracis-28397	156	21	wheter	wheter	NOUN
bracis-28397	156	22	a	a	DET
bracis-28397	156	23	sample	sample	NOUN
bracis-28397	156	24	belongs	belong	VERB
bracis-28397	156	25	to	to	ADP
bracis-28397	156	26	a	a	DET
bracis-28397	156	27	known	know	VERB
bracis-28397	156	28	or	or	CCONJ
bracis-28397	156	29	unknown	unknown	ADJ
bracis-28397	156	30	class	class	NOUN
bracis-28397	156	31	.	.	PUNCT
bracis-28397	157	1	this	this	DET
bracis-28397	157	2	idea	idea	NOUN
bracis-28397	157	3	is	be	AUX
bracis-28397	157	4	reflected	reflect	VERB
bracis-28397	157	5	in	in	ADP
bracis-28397	157	6	the	the	DET
bracis-28397	157	7	ood	ood	PROPN
bracis-28397	157	8	detection	detection	PROPN
bracis-28397	157	9	metric	metric	ADJ
bracis-28397	157	10	results	result	NOUN
bracis-28397	157	11	,	,	PUNCT
bracis-28397	157	12	showing	show	VERB
bracis-28397	157	13	a	a	DET
bracis-28397	157	14	lower	low	ADJ
bracis-28397	157	15	auroc	auroc	NOUN
bracis-28397	157	16	score	score	NOUN
bracis-28397	157	17	for	for	ADP
bracis-28397	157	18	all	all	PRON
bracis-28397	157	19	of	of	ADP
bracis-28397	157	20	the	the	DET
bracis-28397	157	21	methods	method	NOUN
bracis-28397	157	22	,	,	PUNCT
bracis-28397	157	23	if	if	SCONJ
bracis-28397	157	24	compared	compare	VERB
bracis-28397	157	25	to	to	ADP
bracis-28397	157	26	the	the	DET
bracis-28397	157	27	other	other	ADJ
bracis-28397	157	28	experiments	experiment	NOUN
bracis-28397	157	29	.	.	PUNCT
bracis-28397	158	1	even	even	ADV
bracis-28397	158	2	so	so	ADV
bracis-28397	158	3	,	,	PUNCT
bracis-28397	158	4	we	we	PRON
bracis-28397	158	5	noticed	notice	VERB
bracis-28397	158	6	that	that	SCONJ
bracis-28397	158	7	openpcs	openpc	NOUN
bracis-28397	158	8	-	-	PUNCT
bracis-28397	158	9	class	class	NOUN
bracis-28397	158	10	outperformed	outperform	VERB
bracis-28397	158	11	all	all	DET
bracis-28397	158	12	three	three	NUM
bracis-28397	158	13	methods	method	NOUN
bracis-28397	158	14	in	in	ADP
bracis-28397	158	15	terms	term	NOUN
bracis-28397	158	16	of	of	ADP
bracis-28397	158	17	auroc	auroc	NOUN
bracis-28397	158	18	and	and	CCONJ
bracis-28397	158	19	aupr	aupr	NOUN
bracis-28397	158	20	,	,	PUNCT
bracis-28397	158	21	independently	independently	ADV
bracis-28397	158	22	from	from	ADP
bracis-28397	158	23	the	the	DET
bracis-28397	158	24	model	model	NOUN
bracis-28397	158	25	architecture	architecture	NOUN
bracis-28397	158	26	.	.	PUNCT
bracis-28397	159	1	also	also	ADV
bracis-28397	159	2	,	,	PUNCT
bracis-28397	159	3	the	the	DET
bracis-28397	159	4	fpr95	fpr95	PROPN
bracis-28397	159	5	shows	show	VERB
bracis-28397	159	6	that	that	SCONJ
bracis-28397	159	7	our	our	PRON
bracis-28397	159	8	approach	approach	NOUN
bracis-28397	159	9	can	can	AUX
bracis-28397	159	10	enhance	enhance	VERB
bracis-28397	159	11	the	the	DET
bracis-28397	159	12	ood	ood	PROPN
bracis-28397	159	13	detection	detection	PROPN
bracis-28397	159	14	task	task	NOUN
bracis-28397	159	15	considering	consider	VERB
bracis-28397	159	16	a	a	DET
bracis-28397	159	17	real	real	ADJ
bracis-28397	159	18	-	-	PUNCT
bracis-28397	159	19	world	world	NOUN
bracis-28397	159	20	scenario	scenario	NOUN
bracis-28397	159	21	,	,	PUNCT
bracis-28397	159	22	considering	consider	VERB
bracis-28397	159	23	the	the	DET
bracis-28397	159	24	threshold	threshold	NOUN
bracis-28397	159	25	that	that	PRON
bracis-28397	159	26	yields	yield	VERB
bracis-28397	159	27	a	a	DET
bracis-28397	159	28	tpr	tpr	NOUN
bracis-28397	159	29	at	at	ADP
bracis-28397	159	30	95	95	NUM
bracis-28397	159	31	%	%	NOUN
bracis-28397	159	32	.	.	PUNCT
bracis-28397	160	1	in	in	ADP
bracis-28397	160	2	that	that	DET
bracis-28397	160	3	case	case	NOUN
bracis-28397	160	4	,	,	PUNCT
bracis-28397	160	5	the	the	DET
bracis-28397	160	6	openpcs	openpc	NOUN
bracis-28397	160	7	-	-	PUNCT
bracis-28397	160	8	class	class	NOUN
bracis-28397	160	9	can	can	AUX
bracis-28397	160	10	lower	lower	VERB
bracis-28397	160	11	the	the	DET
bracis-28397	160	12	fpr	fpr	NOUN
bracis-28397	160	13	in	in	ADP
bracis-28397	160	14	this	this	DET
bracis-28397	160	15	condition	condition	NOUN
bracis-28397	160	16	up	up	ADP
bracis-28397	160	17	to	to	PART
bracis-28397	160	18	7.1	7.1	NUM
bracis-28397	160	19	%	%	NOUN
bracis-28397	160	20	(	(	PUNCT
bracis-28397	160	21	using	use	VERB
bracis-28397	160	22	resnet	resnet	NOUN
bracis-28397	160	23	model	model	NOUN
bracis-28397	160	24	and	and	CCONJ
bracis-28397	160	25	msp	msp	PROPN
bracis-28397	160	26	method	method	NOUN
bracis-28397	160	27	)	)	PUNCT
bracis-28397	160	28	.	.	PUNCT
bracis-28397	161	1	the	the	DET
bracis-28397	161	2	model	model	NOUN
bracis-28397	161	3	architecture	architecture	NOUN
bracis-28397	161	4	plays	play	VERB
bracis-28397	161	5	an	an	DET
bracis-28397	161	6	important	important	ADJ
bracis-28397	161	7	role	role	NOUN
bracis-28397	161	8	in	in	ADP
bracis-28397	161	9	ood	ood	PROPN
bracis-28397	161	10	detection	detection	PROPN
bracis-28397	161	11	.	.	PUNCT
bracis-28397	162	1	in	in	ADP
bracis-28397	162	2	this	this	DET
bracis-28397	162	3	experiment	experiment	NOUN
bracis-28397	162	4	,	,	PUNCT
bracis-28397	162	5	the	the	DET
bracis-28397	162	6	vit	vit	PROPN
bracis-28397	162	7	model	model	NOUN
bracis-28397	162	8	increased	increase	VERB
bracis-28397	162	9	the	the	DET
bracis-28397	162	10	capability	capability	NOUN
bracis-28397	162	11	to	to	PART
bracis-28397	162	12	detect	detect	VERB
bracis-28397	162	13	ood	ood	PROPN
bracis-28397	162	14	samples	sample	NOUN
bracis-28397	162	15	,	,	PUNCT
bracis-28397	162	16	at	at	ADP
bracis-28397	162	17	least	least	ADJ
bracis-28397	162	18	for	for	ADP
bracis-28397	162	19	the	the	DET
bracis-28397	162	20	openpcs	openpc	NOUN
bracis-28397	162	21	-	-	PUNCT
bracis-28397	162	22	class	class	NOUN
bracis-28397	162	23	method	method	NOUN
bracis-28397	162	24	.	.	PUNCT
bracis-28397	163	1	especially	especially	ADV
bracis-28397	163	2	for	for	ADP
bracis-28397	163	3	feature	feature	NOUN
bracis-28397	163	4	-	-	PUNCT
bracis-28397	163	5	based	base	VERB
bracis-28397	163	6	approaches	approach	NOUN
bracis-28397	163	7	,	,	PUNCT
bracis-28397	163	8	the	the	DET
bracis-28397	163	9	model	model	NOUN
bracis-28397	163	10	used	use	VERB
bracis-28397	163	11	can	can	AUX
bracis-28397	163	12	impact	impact	VERB
bracis-28397	163	13	directly	directly	ADV
bracis-28397	163	14	the	the	DET
bracis-28397	163	15	results	result	NOUN
bracis-28397	163	16	,	,	PUNCT
bracis-28397	163	17	given	give	VERB
bracis-28397	163	18	that	that	SCONJ
bracis-28397	163	19	different	different	ADJ
bracis-28397	163	20	model	model	NOUN
bracis-28397	163	21	architectures	architecture	NOUN
bracis-28397	163	22	can	can	AUX
bracis-28397	163	23	yield	yield	VERB
bracis-28397	163	24	feature	feature	NOUN
bracis-28397	163	25	activations	activation	NOUN
bracis-28397	163	26	.	.	PUNCT
bracis-28397	164	1	the	the	DET
bracis-28397	164	2	second	second	ADJ
bracis-28397	164	3	experiment	experiment	NOUN
bracis-28397	164	4	can	can	AUX
bracis-28397	164	5	be	be	AUX
bracis-28397	164	6	considered	consider	VERB
bracis-28397	164	7	an	an	DET
bracis-28397	164	8	easier	easy	ADJ
bracis-28397	164	9	task	task	NOUN
bracis-28397	164	10	in	in	ADP
bracis-28397	164	11	ood	ood	PROPN
bracis-28397	164	12	detection	detection	NOUN
bracis-28397	164	13	if	if	SCONJ
bracis-28397	164	14	compared	compare	VERB
bracis-28397	164	15	to	to	ADP
bracis-28397	164	16	the	the	DET
bracis-28397	164	17	first	first	ADJ
bracis-28397	164	18	one	one	NUM
bracis-28397	164	19	.	.	PUNCT
bracis-28397	165	1	although	although	SCONJ
bracis-28397	165	2	the	the	DET
bracis-28397	165	3	classes	class	NOUN
bracis-28397	165	4	from	from	ADP
bracis-28397	165	5	\(d_{out}\	\(d_{out}\	NOUN
bracis-28397	165	6	)	)	PUNCT
bracis-28397	165	7	are	be	AUX
bracis-28397	165	8	similar	similar	ADJ
bracis-28397	165	9	in	in	ADP
bracis-28397	165	10	the	the	DET
bracis-28397	165	11	first	first	ADJ
bracis-28397	165	12	two	two	NUM
bracis-28397	165	13	experiments	experiment	NOUN
bracis-28397	165	14	,	,	PUNCT
bracis-28397	165	15	the	the	DET
bracis-28397	165	16	images	image	NOUN
bracis-28397	165	17	were	be	AUX
bracis-28397	165	18	obtained	obtain	VERB
bracis-28397	165	19	in	in	ADP
bracis-28397	165	20	different	different	ADJ
bracis-28397	165	21	body	body	NOUN
bracis-28397	165	22	parts	part	NOUN
bracis-28397	165	23	,	,	PUNCT
bracis-28397	165	24	which	which	PRON
bracis-28397	165	25	can	can	AUX
bracis-28397	165	26	facilitate	facilitate	VERB
bracis-28397	165	27	the	the	DET
bracis-28397	165	28	ood	ood	PROPN
bracis-28397	165	29	detection	detection	PROPN
bracis-28397	165	30	task	task	NOUN
bracis-28397	165	31	.	.	PUNCT
bracis-28397	166	1	the	the	DET
bracis-28397	166	2	results	result	NOUN
bracis-28397	166	3	for	for	ADP
bracis-28397	166	4	the	the	DET
bracis-28397	166	5	second	second	ADJ
bracis-28397	166	6	experiment	experiment	NOUN
bracis-28397	166	7	can	can	AUX
bracis-28397	166	8	be	be	AUX
bracis-28397	166	9	observed	observe	VERB
bracis-28397	166	10	in	in	ADP
bracis-28397	166	11	table	table	NOUN
bracis-28397	166	12	 	 	SPACE
bracis-28397	166	13	2	2	NUM
bracis-28397	166	14	.	.	PUNCT
bracis-28397	166	15	table	table	NOUN
bracis-28397	166	16	2	2	NUM
bracis-28397	166	17	.	.	PUNCT
bracis-28397	166	18	ood	ood	PROPN
bracis-28397	166	19	detection	detection	PROPN
bracis-28397	166	20	results	result	NOUN
bracis-28397	166	21	for	for	ADP
bracis-28397	166	22	experiment	experiment	NOUN
bracis-28397	166	23	2full	2full	NUM
bracis-28397	166	24	size	size	NOUN
bracis-28397	166	25	table	table	NOUN
bracis-28397	166	26	in	in	ADP
bracis-28397	166	27	this	this	DET
bracis-28397	166	28	experiment	experiment	NOUN
bracis-28397	166	29	,	,	PUNCT
bracis-28397	166	30	the	the	DET
bracis-28397	166	31	approaches	approach	NOUN
bracis-28397	166	32	based	base	VERB
bracis-28397	166	33	on	on	ADP
bracis-28397	166	34	the	the	DET
bracis-28397	166	35	feature	feature	NOUN
bracis-28397	166	36	space	space	NOUN
bracis-28397	166	37	had	have	VERB
bracis-28397	166	38	a	a	DET
bracis-28397	166	39	better	well	ADJ
bracis-28397	166	40	ood	ood	PROPN
bracis-28397	166	41	detection	detection	NOUN
bracis-28397	166	42	capability	capability	NOUN
bracis-28397	166	43	,	,	PUNCT
bracis-28397	166	44	if	if	SCONJ
bracis-28397	166	45	compared	compare	VERB
bracis-28397	166	46	to	to	ADP
bracis-28397	166	47	those	those	PRON
bracis-28397	166	48	who	who	PRON
bracis-28397	166	49	use	use	VERB
bracis-28397	166	50	the	the	DET
bracis-28397	166	51	output	output	NOUN
bracis-28397	166	52	space	space	NOUN
bracis-28397	166	53	.	.	PUNCT
bracis-28397	167	1	in	in	ADP
bracis-28397	167	2	fact	fact	NOUN
bracis-28397	167	3	,	,	PUNCT
bracis-28397	167	4	the	the	DET
bracis-28397	167	5	feature	feature	NOUN
bracis-28397	167	6	space	space	NOUN
bracis-28397	167	7	can	can	AUX
bracis-28397	167	8	contain	contain	VERB
bracis-28397	167	9	low	low	ADJ
bracis-28397	167	10	-	-	PUNCT
bracis-28397	167	11	level	level	NOUN
bracis-28397	167	12	and	and	CCONJ
bracis-28397	167	13	high	high	ADJ
bracis-28397	167	14	-	-	PUNCT
bracis-28397	167	15	level	level	NOUN
bracis-28397	167	16	feature	feature	NOUN
bracis-28397	167	17	information	information	NOUN
bracis-28397	167	18	,	,	PUNCT
bracis-28397	167	19	which	which	PRON
bracis-28397	167	20	can	can	AUX
bracis-28397	167	21	help	help	VERB
bracis-28397	167	22	to	to	PART
bracis-28397	167	23	detect	detect	VERB
bracis-28397	167	24	unknown	unknown	ADJ
bracis-28397	167	25	classes	class	NOUN
bracis-28397	167	26	in	in	ADP
bracis-28397	167	27	different	different	ADJ
bracis-28397	167	28	contexts	contexts	NOUN
bracis-28397	167	29	.	.	PUNCT
bracis-28397	168	1	on	on	ADP
bracis-28397	168	2	the	the	DET
bracis-28397	168	3	other	other	ADJ
bracis-28397	168	4	hand	hand	NOUN
bracis-28397	168	5	,	,	PUNCT
bracis-28397	168	6	the	the	DET
bracis-28397	168	7	output	output	NOUN
bracis-28397	168	8	space	space	NOUN
bracis-28397	168	9	does	do	AUX
bracis-28397	168	10	not	not	PART
bracis-28397	168	11	contain	contain	VERB
bracis-28397	168	12	such	such	ADJ
bracis-28397	168	13	kind	kind	NOUN
bracis-28397	168	14	of	of	ADP
bracis-28397	168	15	information	information	NOUN
bracis-28397	168	16	,	,	PUNCT
bracis-28397	168	17	which	which	PRON
bracis-28397	168	18	may	may	AUX
bracis-28397	168	19	help	help	VERB
bracis-28397	168	20	to	to	PART
bracis-28397	168	21	understand	understand	VERB
bracis-28397	168	22	the	the	DET
bracis-28397	168	23	difference	difference	NOUN
bracis-28397	168	24	between	between	ADP
bracis-28397	168	25	those	those	DET
bracis-28397	168	26	approaches	approach	NOUN
bracis-28397	168	27	.	.	PUNCT
bracis-28397	169	1	therefore	therefore	ADV
bracis-28397	169	2	,	,	PUNCT
bracis-28397	169	3	these	these	DET
bracis-28397	169	4	strategies	strategy	NOUN
bracis-28397	169	5	directly	directly	ADV
bracis-28397	169	6	impact	impact	VERB
bracis-28397	169	7	the	the	DET
bracis-28397	169	8	scores	score	NOUN
bracis-28397	169	9	generated	generate	VERB
bracis-28397	169	10	,	,	PUNCT
bracis-28397	169	11	as	as	SCONJ
bracis-28397	169	12	illustrated	illustrate	VERB
bracis-28397	169	13	in	in	ADP
bracis-28397	169	14	fig	fig	NOUN
bracis-28397	169	15	.	.	PUNCT
bracis-28397	169	16	 	 	SPACE
bracis-28397	170	1	3	3	NUM
bracis-28397	170	2	.	.	X
bracis-28397	170	3	fig	fig	NOUN
bracis-28397	170	4	.	.	PUNCT
bracis-28397	171	1	3	3	X
bracis-28397	171	2	.	.	X
bracis-28397	172	1	i	i	PRON
bracis-28397	172	2	d	d	PROPN
bracis-28397	172	3	and	and	CCONJ
bracis-28397	172	4	ood	ood	PROPN
bracis-28397	172	5	score	score	NOUN
bracis-28397	172	6	distributions	distribution	NOUN
bracis-28397	172	7	(	(	PUNCT
bracis-28397	172	8	a	a	X
bracis-28397	172	9	)	)	PUNCT
bracis-28397	172	10	maximum	maximum	ADJ
bracis-28397	172	11	softmax	softmax	NOUN
bracis-28397	172	12	score	score	NOUN
bracis-28397	172	13	from	from	ADP
bracis-28397	172	14	msp	msp	PROPN
bracis-28397	172	15	(	(	PUNCT
bracis-28397	172	16	b	b	NOUN
bracis-28397	172	17	)	)	PUNCT
bracis-28397	172	18	maximum	maximum	ADJ
bracis-28397	172	19	likelihood	likelihood	NOUN
bracis-28397	172	20	from	from	ADP
bracis-28397	172	21	openpcs	openpc	NOUN
bracis-28397	172	22	-	-	PUNCT
bracis-28397	172	23	class	class	NOUN
bracis-28397	172	24	full	full	ADJ
bracis-28397	172	25	size	size	NOUN
bracis-28397	172	26	image	image	NOUN
bracis-28397	172	27	the	the	DET
bracis-28397	172	28	main	main	ADJ
bracis-28397	172	29	objective	objective	NOUN
bracis-28397	172	30	of	of	ADP
bracis-28397	172	31	ood	ood	PROPN
bracis-28397	172	32	detection	detection	NOUN
bracis-28397	172	33	is	be	AUX
bracis-28397	172	34	to	to	PART
bracis-28397	172	35	yield	yield	VERB
bracis-28397	172	36	scores	score	NOUN
bracis-28397	172	37	that	that	PRON
bracis-28397	172	38	could	could	AUX
bracis-28397	172	39	be	be	AUX
bracis-28397	172	40	easy	easy	ADJ
bracis-28397	172	41	to	to	PART
bracis-28397	172	42	distinguish	distinguish	VERB
bracis-28397	172	43	between	between	ADP
bracis-28397	172	44	i	i	PROPN
bracis-28397	172	45	d	d	PROPN
bracis-28397	172	46	and	and	CCONJ
bracis-28397	172	47	ood	ood	PROPN
bracis-28397	172	48	samples	sample	NOUN
bracis-28397	172	49	.	.	PUNCT
bracis-28397	173	1	to	to	PART
bracis-28397	173	2	evaluate	evaluate	VERB
bracis-28397	173	3	the	the	DET
bracis-28397	173	4	distributions	distribution	NOUN
bracis-28397	173	5	obtained	obtain	VERB
bracis-28397	173	6	in	in	ADP
bracis-28397	173	7	fig	fig	NOUN
bracis-28397	173	8	.	.	PUNCT
bracis-28397	173	9	 	 	SPACE
bracis-28397	173	10	3	3	NUM
bracis-28397	173	11	,	,	PUNCT
bracis-28397	173	12	we	we	PRON
bracis-28397	173	13	conduct	conduct	VERB
bracis-28397	173	14	a	a	DET
bracis-28397	173	15	welch	welch	PROPN
bracis-28397	173	16	t	t	PROPN
bracis-28397	173	17	-	-	PUNCT
bracis-28397	173	18	test	test	NOUN
bracis-28397	173	19	[	[	X
bracis-28397	173	20	38	38	NUM
bracis-28397	173	21	]	]	PUNCT
bracis-28397	173	22	,	,	PUNCT
bracis-28397	173	23	which	which	PRON
bracis-28397	173	24	rejected	reject	VERB
bracis-28397	173	25	the	the	DET
bracis-28397	173	26	hypothesis	hypothesis	NOUN
bracis-28397	173	27	that	that	PRON
bracis-28397	173	28	the	the	DET
bracis-28397	173	29	i	i	PROPN
bracis-28397	173	30	d	d	PROPN
bracis-28397	173	31	and	and	CCONJ
bracis-28397	173	32	ood	ood	PROPN
bracis-28397	173	33	distributions	distribution	NOUN
bracis-28397	173	34	have	have	VERB
bracis-28397	173	35	equal	equal	ADJ
bracis-28397	173	36	means	mean	NOUN
bracis-28397	173	37	(	(	PUNCT
bracis-28397	173	38	\(p	\(p	X
bracis-28397	173	39	<	<	X
bracis-28397	173	40	0.05\	0.05\	PROPN
bracis-28397	173	41	)	)	PUNCT
bracis-28397	173	42	)	)	PUNCT
bracis-28397	173	43	only	only	ADV
bracis-28397	173	44	for	for	ADP
bracis-28397	173	45	the	the	DET
bracis-28397	173	46	openpcs	openpc	NOUN
bracis-28397	173	47	-	-	PUNCT
bracis-28397	173	48	class	class	NOUN
bracis-28397	173	49	.	.	PUNCT
bracis-28397	174	1	the	the	DET
bracis-28397	174	2	openpcs	openpc	NOUN
bracis-28397	174	3	-	-	PUNCT
bracis-28397	174	4	class	class	NOUN
bracis-28397	174	5	,	,	PUNCT
bracis-28397	174	6	in	in	ADP
bracis-28397	174	7	this	this	DET
bracis-28397	174	8	experiment	experiment	NOUN
bracis-28397	174	9	,	,	PUNCT
bracis-28397	174	10	outperformed	outperform	VERB
bracis-28397	174	11	all	all	DET
bracis-28397	174	12	three	three	NUM
bracis-28397	174	13	methods	method	NOUN
bracis-28397	174	14	for	for	ADP
bracis-28397	174	15	ood	ood	PROPN
bracis-28397	174	16	detection	detection	PROPN
bracis-28397	174	17	(	(	PUNCT
bracis-28397	174	18	decreased	decrease	VERB
bracis-28397	174	19	48.7	48.7	NUM
bracis-28397	174	20	%	%	NOUN
bracis-28397	174	21	in	in	ADP
bracis-28397	174	22	terms	term	NOUN
bracis-28397	174	23	of	of	ADP
bracis-28397	174	24	fpr95	fpr95	ADJ
bracis-28397	174	25	,	,	PUNCT
bracis-28397	174	26	if	if	SCONJ
bracis-28397	174	27	compared	compare	VERB
bracis-28397	174	28	to	to	ADP
bracis-28397	174	29	mahalanobis	mahalanobis	NOUN
bracis-28397	174	30	and	and	CCONJ
bracis-28397	174	31	convnext	convnext	ADJ
bracis-28397	174	32	)	)	PUNCT
bracis-28397	174	33	.	.	PUNCT
bracis-28397	175	1	however	however	ADV
bracis-28397	175	2	,	,	PUNCT
bracis-28397	175	3	there	there	PRON
bracis-28397	175	4	is	be	VERB
bracis-28397	175	5	a	a	DET
bracis-28397	175	6	slight	slight	ADJ
bracis-28397	175	7	difference	difference	NOUN
bracis-28397	175	8	between	between	ADP
bracis-28397	175	9	the	the	DET
bracis-28397	175	10	openpcs	openpc	NOUN
bracis-28397	175	11	-	-	PUNCT
bracis-28397	175	12	class	class	NOUN
bracis-28397	175	13	and	and	CCONJ
bracis-28397	175	14	mahalanobis	mahalanobis	ADJ
bracis-28397	175	15	methods	method	NOUN
bracis-28397	175	16	,	,	PUNCT
bracis-28397	175	17	depending	depend	VERB
bracis-28397	175	18	on	on	ADP
bracis-28397	175	19	the	the	DET
bracis-28397	175	20	model	model	NOUN
bracis-28397	175	21	architecture	architecture	NOUN
bracis-28397	175	22	.	.	PUNCT
bracis-28397	176	1	for	for	ADP
bracis-28397	176	2	transformer	transformer	NOUN
bracis-28397	176	3	-	-	PUNCT
bracis-28397	176	4	based	base	VERB
bracis-28397	176	5	models	model	NOUN
bracis-28397	176	6	,	,	PUNCT
bracis-28397	176	7	both	both	DET
bracis-28397	176	8	methods	method	NOUN
bracis-28397	176	9	obtained	obtain	VERB
bracis-28397	176	10	,	,	PUNCT
bracis-28397	176	11	auroc	auroc	NOUN
bracis-28397	176	12	and	and	CCONJ
bracis-28397	176	13	aupr	aupr	NOUN
bracis-28397	176	14	metrics	metric	NOUN
bracis-28397	176	15	closer	close	ADV
bracis-28397	176	16	to	to	ADP
bracis-28397	176	17	one	one	NUM
bracis-28397	176	18	.	.	PUNCT
bracis-28397	177	1	this	this	DET
bracis-28397	177	2	result	result	NOUN
bracis-28397	177	3	corroborates	corroborate	VERB
bracis-28397	177	4	recent	recent	ADJ
bracis-28397	177	5	findings	finding	NOUN
bracis-28397	177	6	that	that	PRON
bracis-28397	177	7	models	model	NOUN
bracis-28397	177	8	based	base	VERB
bracis-28397	177	9	on	on	ADP
bracis-28397	177	10	transformer	transformer	ADJ
bracis-28397	177	11	architecture	architecture	NOUN
bracis-28397	177	12	can	can	AUX
bracis-28397	177	13	enhance	enhance	VERB
bracis-28397	177	14	the	the	DET
bracis-28397	177	15	robustness	robustness	NOUN
bracis-28397	177	16	of	of	ADP
bracis-28397	177	17	ood	ood	PROPN
bracis-28397	177	18	detection	detection	PROPN
bracis-28397	177	19	[	[	X
bracis-28397	177	20	23	23	NUM
bracis-28397	177	21	]	]	PUNCT
bracis-28397	177	22	.	.	PUNCT
bracis-28397	178	1	the	the	DET
bracis-28397	178	2	third	third	ADJ
bracis-28397	178	3	experiment	experiment	NOUN
bracis-28397	178	4	uses	use	VERB
bracis-28397	178	5	skin	skin	NOUN
bracis-28397	178	6	lesions	lesion	NOUN
bracis-28397	178	7	pathologies	pathology	NOUN
bracis-28397	178	8	that	that	PRON
bracis-28397	178	9	are	be	AUX
bracis-28397	178	10	more	more	ADV
bracis-28397	178	11	different	different	ADJ
bracis-28397	178	12	from	from	ADP
bracis-28397	178	13	those	those	PRON
bracis-28397	178	14	presented	present	VERB
bracis-28397	178	15	in	in	ADP
bracis-28397	178	16	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	178	17	)	)	PUNCT
bracis-28397	178	18	.	.	PUNCT
bracis-28397	179	1	the	the	DET
bracis-28397	179	2	results	result	NOUN
bracis-28397	179	3	are	be	AUX
bracis-28397	179	4	presented	present	VERB
bracis-28397	179	5	in	in	ADP
bracis-28397	179	6	table	table	NOUN
bracis-28397	179	7	 	 	SPACE
bracis-28397	179	8	3	3	NUM
bracis-28397	179	9	.	.	PUNCT
bracis-28397	179	10	table	table	NOUN
bracis-28397	179	11	3	3	PROPN
bracis-28397	179	12	.	.	PUNCT
bracis-28397	179	13	ood	ood	PROPN
bracis-28397	179	14	detection	detection	NOUN
bracis-28397	179	15	results	result	VERB
bracis-28397	179	16	for	for	ADP
bracis-28397	179	17	experiment	experiment	NOUN
bracis-28397	179	18	3full	3full	NUM
bracis-28397	179	19	size	size	NOUN
bracis-28397	179	20	table	table	NOUN
bracis-28397	179	21	although	although	SCONJ
bracis-28397	179	22	the	the	DET
bracis-28397	179	23	\(d_{out}\	\(d_{out}\	NOUN
bracis-28397	179	24	)	)	PUNCT
bracis-28397	179	25	in	in	ADP
bracis-28397	179	26	the	the	DET
bracis-28397	179	27	third	third	ADJ
bracis-28397	179	28	study	study	NOUN
bracis-28397	179	29	case	case	NOUN
bracis-28397	179	30	contains	contain	VERB
bracis-28397	179	31	images	image	NOUN
bracis-28397	179	32	from	from	ADP
bracis-28397	179	33	skin	skin	NOUN
bracis-28397	179	34	lesions	lesion	NOUN
bracis-28397	179	35	,	,	PUNCT
bracis-28397	179	36	we	we	PRON
bracis-28397	179	37	noticed	notice	VERB
bracis-28397	179	38	that	that	SCONJ
bracis-28397	179	39	all	all	DET
bracis-28397	179	40	methods	method	NOUN
bracis-28397	179	41	,	,	PUNCT
bracis-28397	179	42	independently	independently	ADV
bracis-28397	179	43	from	from	ADP
bracis-28397	179	44	the	the	DET
bracis-28397	179	45	model	model	NOUN
bracis-28397	179	46	architecture	architecture	NOUN
bracis-28397	179	47	,	,	PUNCT
bracis-28397	179	48	enhanced	enhance	VERB
bracis-28397	179	49	the	the	DET
bracis-28397	179	50	ood	ood	PROPN
bracis-28397	179	51	detection	detection	NOUN
bracis-28397	179	52	metrics	metric	NOUN
bracis-28397	179	53	,	,	PUNCT
bracis-28397	179	54	if	if	SCONJ
bracis-28397	179	55	compared	compare	VERB
bracis-28397	179	56	to	to	ADP
bracis-28397	179	57	the	the	DET
bracis-28397	179	58	previous	previous	ADJ
bracis-28397	179	59	experiments	experiment	NOUN
bracis-28397	179	60	.	.	PUNCT
bracis-28397	180	1	as	as	SCONJ
bracis-28397	180	2	the	the	DET
bracis-28397	180	3	ood	ood	PROPN
bracis-28397	180	4	samples	sample	NOUN
bracis-28397	180	5	are	be	AUX
bracis-28397	180	6	related	relate	VERB
bracis-28397	180	7	to	to	ADP
bracis-28397	180	8	diseases	disease	NOUN
bracis-28397	180	9	like	like	ADP
bracis-28397	180	10	monkeypox	monkeypox	NOUN
bracis-28397	180	11	and	and	CCONJ
bracis-28397	180	12	chickenpox	chickenpox	NOUN
bracis-28397	180	13	,	,	PUNCT
bracis-28397	180	14	the	the	DET
bracis-28397	180	15	images	image	NOUN
bracis-28397	180	16	are	be	AUX
bracis-28397	180	17	more	more	ADV
bracis-28397	180	18	dissimilar	dissimilar	ADJ
bracis-28397	180	19	to	to	ADP
bracis-28397	180	20	those	those	PRON
bracis-28397	180	21	presented	present	VERB
bracis-28397	180	22	to	to	ADP
bracis-28397	180	23	the	the	DET
bracis-28397	180	24	model	model	NOUN
bracis-28397	180	25	in	in	ADP
bracis-28397	180	26	the	the	DET
bracis-28397	180	27	training	training	NOUN
bracis-28397	180	28	phase	phase	NOUN
bracis-28397	180	29	(	(	PUNCT
bracis-28397	180	30	using	use	VERB
bracis-28397	180	31	\(d_{in}\	\(d_{in}\	NOUN
bracis-28397	180	32	)	)	PUNCT
bracis-28397	180	33	)	)	PUNCT
bracis-28397	180	34	,	,	PUNCT
bracis-28397	180	35	so	so	CCONJ
bracis-28397	180	36	there	there	PRON
bracis-28397	180	37	is	be	VERB
bracis-28397	180	38	a	a	DET
bracis-28397	180	39	low	low	ADJ
bracis-28397	180	40	confidence	confidence	NOUN
bracis-28397	180	41	score	score	NOUN
bracis-28397	180	42	in	in	ADP
bracis-28397	180	43	the	the	DET
bracis-28397	180	44	output	output	NOUN
bracis-28397	180	45	space	space	NOUN
bracis-28397	180	46	,	,	PUNCT
bracis-28397	180	47	and	and	CCONJ
bracis-28397	180	48	the	the	DET
bracis-28397	180	49	feature	feature	NOUN
bracis-28397	180	50	representation	representation	NOUN
bracis-28397	180	51	from	from	ADP
bracis-28397	180	52	ood	ood	PROPN
bracis-28397	180	53	samples	sample	NOUN
bracis-28397	180	54	are	be	AUX
bracis-28397	180	55	more	more	ADV
bracis-28397	180	56	dissimilar	dissimilar	ADJ
bracis-28397	180	57	to	to	ADP
bracis-28397	180	58	those	those	PRON
bracis-28397	180	59	presented	present	VERB
bracis-28397	180	60	from	from	ADP
bracis-28397	180	61	i	i	PROPN
bracis-28397	180	62	d	d	PROPN
bracis-28397	180	63	samples	sample	NOUN
bracis-28397	180	64	,	,	PUNCT
bracis-28397	180	65	resulting	result	VERB
bracis-28397	180	66	in	in	ADP
bracis-28397	180	67	an	an	DET
bracis-28397	180	68	easier	easy	ADJ
bracis-28397	180	69	ood	ood	PROPN
bracis-28397	180	70	detection	detection	PROPN
bracis-28397	180	71	task	task	NOUN
bracis-28397	180	72	.	.	PUNCT
bracis-28397	181	1	in	in	ADP
bracis-28397	181	2	this	this	DET
bracis-28397	181	3	experiment	experiment	NOUN
bracis-28397	181	4	,	,	PUNCT
bracis-28397	181	5	the	the	DET
bracis-28397	181	6	feature	feature	NOUN
bracis-28397	181	7	-	-	PUNCT
bracis-28397	181	8	based	base	VERB
bracis-28397	181	9	approaches	approach	NOUN
bracis-28397	181	10	also	also	ADV
bracis-28397	181	11	obtained	obtain	VERB
bracis-28397	181	12	a	a	DET
bracis-28397	181	13	considerably	considerably	ADV
bracis-28397	181	14	high	high	ADJ
bracis-28397	181	15	capability	capability	NOUN
bracis-28397	181	16	to	to	PART
bracis-28397	181	17	detect	detect	VERB
bracis-28397	181	18	samples	sample	NOUN
bracis-28397	181	19	visually	visually	ADV
bracis-28397	181	20	dissimilar	dissimilar	ADJ
bracis-28397	181	21	to	to	ADP
bracis-28397	181	22	those	those	PRON
bracis-28397	181	23	presented	present	VERB
bracis-28397	181	24	in	in	ADP
bracis-28397	181	25	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	181	26	)	)	PUNCT
bracis-28397	181	27	.	.	PUNCT
bracis-28397	182	1	for	for	ADP
bracis-28397	182	2	transformer	transformer	NOUN
bracis-28397	182	3	-	-	PUNCT
bracis-28397	182	4	based	base	VERB
bracis-28397	182	5	approaches	approach	NOUN
bracis-28397	182	6	,	,	PUNCT
bracis-28397	182	7	mahalanobis	mahalanobis	ADJ
bracis-28397	182	8	and	and	CCONJ
bracis-28397	182	9	openpcs	openpc	NOUN
bracis-28397	182	10	-	-	PUNCT
bracis-28397	182	11	class	class	NOUN
bracis-28397	182	12	obtained	obtain	VERB
bracis-28397	182	13	comparable	comparable	ADJ
bracis-28397	182	14	results	result	NOUN
bracis-28397	182	15	,	,	PUNCT
bracis-28397	182	16	given	give	VERB
bracis-28397	182	17	that	that	SCONJ
bracis-28397	182	18	they	they	PRON
bracis-28397	182	19	could	could	AUX
bracis-28397	182	20	almost	almost	ADV
bracis-28397	182	21	differentiate	differentiate	VERB
bracis-28397	182	22	total	total	NOUN
bracis-28397	182	23	i	i	PROPN
bracis-28397	182	24	d	d	PROPN
bracis-28397	182	25	and	and	CCONJ
bracis-28397	182	26	ood	ood	PROPN
bracis-28397	182	27	samples	sample	NOUN
bracis-28397	182	28	.	.	PUNCT
bracis-28397	183	1	however	however	ADV
bracis-28397	183	2	,	,	PUNCT
bracis-28397	183	3	for	for	ADP
bracis-28397	183	4	the	the	DET
bracis-28397	183	5	resnet	resnet	NOUN
bracis-28397	183	6	architecture	architecture	NOUN
bracis-28397	183	7	,	,	PUNCT
bracis-28397	183	8	the	the	DET
bracis-28397	183	9	difference	difference	NOUN
bracis-28397	183	10	between	between	ADP
bracis-28397	183	11	those	those	DET
bracis-28397	183	12	approaches	approach	NOUN
bracis-28397	183	13	is	be	AUX
bracis-28397	183	14	more	more	ADV
bracis-28397	183	15	significant	significant	ADJ
bracis-28397	183	16	,	,	PUNCT
bracis-28397	183	17	showing	show	VERB
bracis-28397	183	18	better	well	ADJ
bracis-28397	183	19	performance	performance	NOUN
bracis-28397	183	20	for	for	ADP
bracis-28397	183	21	the	the	DET
bracis-28397	183	22	openpcs	openpc	NOUN
bracis-28397	183	23	-	-	PUNCT
bracis-28397	183	24	class	class	NOUN
bracis-28397	183	25	method	method	NOUN
bracis-28397	183	26	(	(	PUNCT
bracis-28397	183	27	increased	increase	VERB
bracis-28397	183	28	5.1	5.1	NUM
bracis-28397	183	29	%	%	NOUN
bracis-28397	183	30	if	if	SCONJ
bracis-28397	183	31	compared	compare	VERB
bracis-28397	183	32	to	to	ADP
bracis-28397	183	33	the	the	DET
bracis-28397	183	34	mahalanobis	mahalanobis	ADJ
bracis-28397	183	35	detector	detector	NOUN
bracis-28397	183	36	)	)	PUNCT
bracis-28397	183	37	.	.	PUNCT
bracis-28397	184	1	for	for	ADP
bracis-28397	184	2	the	the	DET
bracis-28397	184	3	last	last	ADJ
bracis-28397	184	4	case	case	NOUN
bracis-28397	184	5	study	study	NOUN
bracis-28397	184	6	,	,	PUNCT
bracis-28397	184	7	table	table	NOUN
bracis-28397	184	8	 	 	SPACE
bracis-28397	184	9	4	4	NUM
bracis-28397	184	10	displays	display	VERB
bracis-28397	184	11	the	the	DET
bracis-28397	184	12	results	result	NOUN
bracis-28397	184	13	for	for	ADP
bracis-28397	184	14	ood	ood	PROPN
bracis-28397	184	15	detection	detection	NOUN
bracis-28397	184	16	using	use	VERB
bracis-28397	184	17	the	the	DET
bracis-28397	184	18	same	same	ADJ
bracis-28397	184	19	experimental	experimental	ADJ
bracis-28397	184	20	protocol	protocol	NOUN
bracis-28397	184	21	as	as	ADP
bracis-28397	184	22	the	the	DET
bracis-28397	184	23	previous	previous	ADJ
bracis-28397	184	24	experiments	experiment	NOUN
bracis-28397	184	25	.	.	PUNCT
bracis-28397	185	1	table	table	NOUN
bracis-28397	185	2	4	4	NUM
bracis-28397	185	3	.	.	PUNCT
bracis-28397	185	4	ood	ood	PROPN
bracis-28397	185	5	detection	detection	NOUN
bracis-28397	185	6	results	result	NOUN
bracis-28397	185	7	for	for	ADP
bracis-28397	185	8	experiment	experiment	NOUN
bracis-28397	185	9	4full	4full	NUM
bracis-28397	185	10	size	size	NOUN
bracis-28397	185	11	table	table	NOUN
bracis-28397	185	12	in	in	ADP
bracis-28397	185	13	this	this	DET
bracis-28397	185	14	experiment	experiment	NOUN
bracis-28397	185	15	,	,	PUNCT
bracis-28397	185	16	we	we	PRON
bracis-28397	185	17	observed	observe	VERB
bracis-28397	185	18	that	that	SCONJ
bracis-28397	185	19	feature	feature	NOUN
bracis-28397	185	20	-	-	PUNCT
bracis-28397	185	21	based	base	VERB
bracis-28397	185	22	approaches	approach	NOUN
bracis-28397	185	23	performed	perform	VERB
bracis-28397	185	24	comparably	comparably	ADV
bracis-28397	185	25	better	well	ADV
bracis-28397	185	26	in	in	ADP
bracis-28397	185	27	detecting	detect	VERB
bracis-28397	185	28	a	a	DET
bracis-28397	185	29	wide	wide	ADJ
bracis-28397	185	30	range	range	NOUN
bracis-28397	185	31	of	of	ADP
bracis-28397	185	32	pathologies	pathology	NOUN
bracis-28397	185	33	as	as	ADP
bracis-28397	185	34	ood	ood	PROPN
bracis-28397	185	35	.	.	PUNCT
bracis-28397	186	1	even	even	ADV
bracis-28397	186	2	in	in	ADP
bracis-28397	186	3	the	the	DET
bracis-28397	186	4	presence	presence	NOUN
bracis-28397	186	5	of	of	ADP
bracis-28397	186	6	new	new	ADJ
bracis-28397	186	7	images	image	NOUN
bracis-28397	186	8	for	for	ADP
bracis-28397	186	9	i	i	PROPN
bracis-28397	186	10	d	d	PROPN
bracis-28397	186	11	classes	class	NOUN
bracis-28397	186	12	that	that	PRON
bracis-28397	186	13	are	be	AUX
bracis-28397	186	14	slightly	slightly	ADV
bracis-28397	186	15	different	different	ADJ
bracis-28397	186	16	from	from	ADP
bracis-28397	186	17	those	those	PRON
bracis-28397	186	18	presented	present	VERB
bracis-28397	186	19	in	in	ADP
bracis-28397	186	20	the	the	DET
bracis-28397	186	21	\(d_{in}\	\(d_{in}\	PROPN
bracis-28397	186	22	)	)	PUNCT
bracis-28397	186	23	,	,	PUNCT
bracis-28397	186	24	the	the	DET
bracis-28397	186	25	openpcs	openpcs	ADJ
bracis-28397	186	26	-	-	PUNCT
bracis-28397	186	27	class	class	NOUN
bracis-28397	186	28	outperformed	outperform	VERB
bracis-28397	186	29	other	other	ADJ
bracis-28397	186	30	methods	method	NOUN
bracis-28397	186	31	in	in	ADP
bracis-28397	186	32	all	all	DET
bracis-28397	186	33	three	three	NUM
bracis-28397	186	34	evaluation	evaluation	NOUN
bracis-28397	186	35	metrics	metric	NOUN
bracis-28397	186	36	.	.	PUNCT
bracis-28397	187	1	therefore	therefore	ADV
bracis-28397	187	2	,	,	PUNCT
bracis-28397	187	3	even	even	ADV
bracis-28397	187	4	with	with	ADP
bracis-28397	187	5	visually	visually	ADV
bracis-28397	187	6	different	different	ADJ
bracis-28397	187	7	i	i	PROPN
bracis-28397	187	8	d	d	PROPN
bracis-28397	187	9	samples	sample	NOUN
bracis-28397	187	10	,	,	PUNCT
bracis-28397	187	11	the	the	DET
bracis-28397	187	12	feature	feature	NOUN
bracis-28397	187	13	-	-	PUNCT
bracis-28397	187	14	space	space	NOUN
bracis-28397	187	15	approaches	approach	NOUN
bracis-28397	187	16	obtained	obtain	VERB
bracis-28397	187	17	better	well	ADJ
bracis-28397	187	18	results	result	NOUN
bracis-28397	187	19	in	in	ADP
bracis-28397	187	20	the	the	DET
bracis-28397	187	21	ood	ood	PROPN
bracis-28397	187	22	detection	detection	PROPN
bracis-28397	187	23	task	task	NOUN
bracis-28397	187	24	.	.	PUNCT
bracis-28397	188	1	although	although	SCONJ
bracis-28397	188	2	we	we	PRON
bracis-28397	188	3	only	only	ADV
bracis-28397	188	4	present	present	VERB
bracis-28397	188	5	the	the	DET
bracis-28397	188	6	distributions	distribution	NOUN
bracis-28397	188	7	for	for	ADP
bracis-28397	188	8	the	the	DET
bracis-28397	188	9	second	second	ADJ
bracis-28397	188	10	experiment	experiment	NOUN
bracis-28397	188	11	,	,	PUNCT
bracis-28397	188	12	we	we	PRON
bracis-28397	188	13	used	use	VERB
bracis-28397	188	14	the	the	DET
bracis-28397	188	15	welch	welch	PROPN
bracis-28397	188	16	t	t	PROPN
bracis-28397	188	17	-	-	PUNCT
bracis-28397	188	18	test	test	NOUN
bracis-28397	188	19	for	for	ADP
bracis-28397	188	20	all	all	DET
bracis-28397	188	21	experiments	experiment	NOUN
bracis-28397	188	22	in	in	ADP
bracis-28397	188	23	this	this	DET
bracis-28397	188	24	section	section	NOUN
bracis-28397	188	25	.	.	PUNCT
bracis-28397	189	1	for	for	ADP
bracis-28397	189	2	all	all	DET
bracis-28397	189	3	experiments	experiment	NOUN
bracis-28397	189	4	using	use	VERB
bracis-28397	189	5	the	the	DET
bracis-28397	189	6	transformer	transformer	NOUN
bracis-28397	189	7	-	-	PUNCT
bracis-28397	189	8	based	base	VERB
bracis-28397	189	9	architectures	architecture	NOUN
bracis-28397	189	10	,	,	PUNCT
bracis-28397	189	11	we	we	PRON
bracis-28397	189	12	noted	note	VERB
bracis-28397	189	13	that	that	SCONJ
bracis-28397	189	14	the	the	DET
bracis-28397	189	15	i	i	PROPN
bracis-28397	189	16	d	d	PROPN
bracis-28397	189	17	and	and	CCONJ
bracis-28397	189	18	ood	ood	PROPN
bracis-28397	189	19	distributions	distribution	NOUN
bracis-28397	189	20	can	can	AUX
bracis-28397	189	21	be	be	AUX
bracis-28397	189	22	easily	easily	ADV
bracis-28397	189	23	distinguished	distinguish	VERB
bracis-28397	189	24	(	(	PUNCT
bracis-28397	189	25	i.e.	i.e.	X
bracis-28397	189	26	,	,	PUNCT
bracis-28397	189	27	it	it	PRON
bracis-28397	189	28	contains	contain	VERB
bracis-28397	189	29	different	different	ADJ
bracis-28397	189	30	means	mean	NOUN
bracis-28397	189	31	)	)	PUNCT
bracis-28397	189	32	for	for	ADP
bracis-28397	189	33	the	the	DET
bracis-28397	189	34	openpcs	openpc	NOUN
bracis-28397	189	35	-	-	PUNCT
bracis-28397	189	36	class	class	NOUN
bracis-28397	189	37	.	.	PUNCT
bracis-28397	190	1	6	6	NUM
bracis-28397	190	2	conclusions	conclusion	NOUN
bracis-28397	190	3	in	in	ADP
bracis-28397	190	4	this	this	DET
bracis-28397	190	5	work	work	NOUN
bracis-28397	190	6	,	,	PUNCT
bracis-28397	190	7	we	we	PRON
bracis-28397	190	8	evaluated	evaluate	VERB
bracis-28397	190	9	the	the	DET
bracis-28397	190	10	openpcs	openpc	NOUN
bracis-28397	190	11	-	-	PUNCT
bracis-28397	190	12	class	class	NOUN
bracis-28397	190	13	for	for	ADP
bracis-28397	190	14	a	a	DET
bracis-28397	190	15	new	new	ADJ
bracis-28397	190	16	domain	domain	NOUN
bracis-28397	190	17	of	of	ADP
bracis-28397	190	18	application	application	NOUN
bracis-28397	190	19	for	for	ADP
bracis-28397	190	20	ood	ood	PROPN
bracis-28397	190	21	detection	detection	PROPN
bracis-28397	190	22	,	,	PUNCT
bracis-28397	190	23	more	more	ADV
bracis-28397	190	24	specifically	specifically	ADV
bracis-28397	190	25	for	for	ADP
bracis-28397	190	26	skin	skin	NOUN
bracis-28397	190	27	lesion	lesion	NOUN
bracis-28397	190	28	problems	problem	NOUN
bracis-28397	190	29	.	.	PUNCT
bracis-28397	191	1	the	the	DET
bracis-28397	191	2	feature	feature	NOUN
bracis-28397	191	3	space	space	NOUN
bracis-28397	191	4	-	-	PUNCT
bracis-28397	191	5	based	base	VERB
bracis-28397	191	6	approaches	approach	NOUN
bracis-28397	191	7	,	,	PUNCT
bracis-28397	191	8	in	in	ADP
bracis-28397	191	9	general	general	ADJ
bracis-28397	191	10	,	,	PUNCT
bracis-28397	191	11	obtained	obtain	VERB
bracis-28397	191	12	a	a	DET
bracis-28397	191	13	superior	superior	ADJ
bracis-28397	191	14	ood	ood	NOUN
bracis-28397	191	15	detection	detection	NOUN
bracis-28397	191	16	when	when	SCONJ
bracis-28397	191	17	the	the	DET
bracis-28397	191	18	ood	ood	PROPN
bracis-28397	191	19	samples	sample	NOUN
bracis-28397	191	20	are	be	AUX
bracis-28397	191	21	visually	visually	ADV
bracis-28397	191	22	more	more	ADV
bracis-28397	191	23	dissimilar	dissimilar	ADJ
bracis-28397	191	24	to	to	ADP
bracis-28397	191	25	i	i	PROPN
bracis-28397	191	26	d	d	PROPN
bracis-28397	191	27	ones	one	NOUN
bracis-28397	191	28	,	,	PUNCT
bracis-28397	191	29	corresponding	correspond	VERB
bracis-28397	191	30	to	to	ADP
bracis-28397	191	31	the	the	DET
bracis-28397	191	32	latter	latter	ADJ
bracis-28397	191	33	three	three	NUM
bracis-28397	191	34	experiments	experiment	NOUN
bracis-28397	191	35	of	of	ADP
bracis-28397	191	36	this	this	DET
bracis-28397	191	37	work	work	NOUN
bracis-28397	191	38	.	.	PUNCT
bracis-28397	192	1	compared	compare	VERB
bracis-28397	192	2	to	to	ADP
bracis-28397	192	3	all	all	DET
bracis-28397	192	4	the	the	DET
bracis-28397	192	5	methods	method	NOUN
bracis-28397	192	6	evaluated	evaluate	VERB
bracis-28397	192	7	in	in	ADP
bracis-28397	192	8	the	the	DET
bracis-28397	192	9	experiments	experiment	NOUN
bracis-28397	192	10	,	,	PUNCT
bracis-28397	192	11	the	the	DET
bracis-28397	192	12	openpcs	openpcs	ADJ
bracis-28397	192	13	-	-	PUNCT
bracis-28397	192	14	class	class	NOUN
bracis-28397	192	15	outperformed	outperform	VERB
bracis-28397	192	16	in	in	ADP
bracis-28397	192	17	all	all	DET
bracis-28397	192	18	scenarios	scenario	NOUN
bracis-28397	192	19	regarding	regard	VERB
bracis-28397	192	20	auroc	auroc	NOUN
bracis-28397	192	21	,	,	PUNCT
bracis-28397	192	22	and	and	CCONJ
bracis-28397	192	23	9	9	NUM
bracis-28397	192	24	(	(	PUNCT
bracis-28397	192	25	out	out	ADP
bracis-28397	192	26	of	of	ADP
bracis-28397	192	27	12	12	NUM
bracis-28397	192	28	)	)	PUNCT
bracis-28397	192	29	in	in	ADP
bracis-28397	192	30	terms	term	NOUN
bracis-28397	192	31	of	of	ADP
bracis-28397	192	32	average	average	ADJ
bracis-28397	192	33	fpr95	fpr95	NOUN
bracis-28397	192	34	.	.	PUNCT
bracis-28397	193	1	more	more	ADV
bracis-28397	193	2	interestingly	interestingly	ADV
bracis-28397	193	3	,	,	PUNCT
bracis-28397	193	4	the	the	DET
bracis-28397	193	5	transformer	transformer	NOUN
bracis-28397	193	6	-	-	PUNCT
bracis-28397	193	7	based	base	VERB
bracis-28397	193	8	models	model	NOUN
bracis-28397	193	9	were	be	AUX
bracis-28397	193	10	more	more	ADV
bracis-28397	193	11	suitable	suitable	ADJ
bracis-28397	193	12	for	for	ADP
bracis-28397	193	13	the	the	DET
bracis-28397	193	14	openpcs	openpc	NOUN
bracis-28397	193	15	-	-	PUNCT
bracis-28397	193	16	class	class	NOUN
bracis-28397	193	17	method	method	NOUN
bracis-28397	193	18	,	,	PUNCT
bracis-28397	193	19	which	which	PRON
bracis-28397	193	20	always	always	ADV
bracis-28397	193	21	obtained	obtain	VERB
bracis-28397	193	22	superior	superior	ADJ
bracis-28397	193	23	ood	ood	PROPN
bracis-28397	193	24	detection	detection	NOUN
bracis-28397	193	25	results	result	NOUN
bracis-28397	193	26	.	.	PUNCT
bracis-28397	194	1	going	go	VERB
bracis-28397	194	2	forward	forward	ADV
bracis-28397	194	3	,	,	PUNCT
bracis-28397	194	4	we	we	PRON
bracis-28397	194	5	aim	aim	VERB
bracis-28397	194	6	to	to	PART
bracis-28397	194	7	evaluate	evaluate	VERB
bracis-28397	194	8	the	the	DET
bracis-28397	194	9	openpcs	openpc	NOUN
bracis-28397	194	10	-	-	PUNCT
bracis-28397	194	11	class	class	NOUN
bracis-28397	194	12	in	in	ADP
bracis-28397	194	13	different	different	ADJ
bracis-28397	194	14	medical	medical	ADJ
bracis-28397	194	15	classification	classification	NOUN
bracis-28397	194	16	problems	problem	NOUN
bracis-28397	194	17	,	,	PUNCT
bracis-28397	194	18	to	to	PART
bracis-28397	194	19	get	get	VERB
bracis-28397	194	20	a	a	DET
bracis-28397	194	21	better	well	ADJ
bracis-28397	194	22	perspective	perspective	NOUN
bracis-28397	194	23	of	of	ADP
bracis-28397	194	24	feature	feature	NOUN
bracis-28397	194	25	space	space	NOUN
bracis-28397	194	26	-	-	PUNCT
bracis-28397	194	27	based	base	VERB
bracis-28397	194	28	models	model	NOUN
bracis-28397	194	29	in	in	ADP
bracis-28397	194	30	ood	ood	PROPN
bracis-28397	194	31	detection	detection	NOUN
bracis-28397	194	32	application	application	NOUN
bracis-28397	194	33	problems	problem	NOUN
bracis-28397	194	34	.	.	PUNCT
bracis-28397	195	1	notes	note	VERB
bracis-28397	195	2	1.code	1.code	NUM
bracis-28397	195	3	available	available	ADJ
bracis-28397	195	4	at	at	ADP
bracis-28397	195	5	https://github.com/mdrs-thiago/skin-lesion-ood-detection	https://github.com/mdrs-thiago/skin-lesion-ood-detection	NOUN
bracis-28397	195	6	.	.	PUNCT
bracis-28397	196	1	references	reference	NOUN
bracis-28397	196	2	ali	ali	PROPN
bracis-28397	196	3	,	,	PUNCT
bracis-28397	196	4	s.n	s.n	PROPN
bracis-28397	196	5	.	.	PROPN
bracis-28397	196	6	,	,	PUNCT
bracis-28397	196	7	et	et	PROPN
bracis-28397	196	8	al	al	PROPN
bracis-28397	196	9	.	.	PUNCT
bracis-28397	196	10	:	:	PUNCT
bracis-28397	197	1	monkeypox	monkeypox	VERB
bracis-28397	197	2	skin	skin	NOUN
bracis-28397	197	3	lesion	lesion	NOUN
bracis-28397	197	4	detection	detection	NOUN
bracis-28397	197	5	using	use	VERB
bracis-28397	197	6	deep	deep	ADJ
bracis-28397	197	7	learning	learning	NOUN
bracis-28397	197	8	models	model	NOUN
bracis-28397	197	9	:	:	PUNCT
bracis-28397	197	10	a	a	DET
bracis-28397	197	11	preliminary	preliminary	ADJ
bracis-28397	197	12	feasibility	feasibility	NOUN
bracis-28397	197	13	study	study	NOUN
bracis-28397	197	14	.	.	PUNCT
bracis-28397	198	1	arxiv	arxiv	PROPN
bracis-28397	198	2	preprint	preprint	VERB
bracis-28397	198	3	arxiv:2207.03342	arxiv:2207.03342	NUM
bracis-28397	198	4	(	(	PUNCT
bracis-28397	198	5	2022	2022	NUM
bracis-28397	198	6	)	)	PUNCT
bracis-28397	199	1	berger	berger	PROPN
bracis-28397	199	2	,	,	PUNCT
bracis-28397	199	3	c.	c.	PROPN
bracis-28397	199	4	,	,	PUNCT
bracis-28397	199	5	paschali	paschali	ADJ
bracis-28397	199	6	,	,	PUNCT
bracis-28397	199	7	m.	m.	NOUN
bracis-28397	199	8	,	,	PUNCT
bracis-28397	199	9	glocker	glocker	NOUN
bracis-28397	199	10	,	,	PUNCT
bracis-28397	199	11	b.	b.	PROPN
bracis-28397	199	12	,	,	PUNCT
bracis-28397	199	13	kamnitsas	kamnitsas	PROPN
bracis-28397	199	14	,	,	PUNCT
bracis-28397	199	15	k.	k.	NOUN
bracis-28397	199	16	:	:	PUNCT
bracis-28397	199	17	confidence	confidence	NOUN
bracis-28397	199	18	-	-	PUNCT
bracis-28397	199	19	based	base	VERB
bracis-28397	199	20	out	out	ADP
bracis-28397	199	21	-	-	PUNCT
bracis-28397	199	22	of	of	ADP
bracis-28397	199	23	-	-	PUNCT
bracis-28397	199	24	distribution	distribution	NOUN
bracis-28397	199	25	detection	detection	NOUN
bracis-28397	199	26	:	:	PUNCT
bracis-28397	199	27	a	a	DET
bracis-28397	199	28	comparative	comparative	ADJ
bracis-28397	199	29	study	study	NOUN
bracis-28397	199	30	and	and	CCONJ
bracis-28397	199	31	 	 	SPACE
bracis-28397	199	32	analysis	analysis	NOUN
bracis-28397	199	33	.	.	PUNCT
bracis-28397	200	1	in	in	ADP
bracis-28397	200	2	:	:	PUNCT
bracis-28397	200	3	sudre	sudre	PROPN
bracis-28397	200	4	,	,	PUNCT
bracis-28397	200	5	c.h	c.h	PROPN
bracis-28397	200	6	.	.	PROPN
bracis-28397	200	7	,	,	PUNCT
bracis-28397	200	8	et	et	PROPN
bracis-28397	200	9	al	al	PROPN
bracis-28397	200	10	.	.	PUNCT
bracis-28397	200	11	(	(	PUNCT
bracis-28397	200	12	eds	ed	NOUN
bracis-28397	200	13	.	.	PUNCT
bracis-28397	200	14	)	)	PUNCT
bracis-28397	200	15	unsure	unsure	ADJ
bracis-28397	200	16	/	/	SYM
bracis-28397	200	17	pippi	pippi	NOUN
bracis-28397	200	18	-2021	-2021	NOUN
bracis-28397	200	19	.	.	PUNCT
bracis-28397	201	1	lncs	lncs	PROPN
bracis-28397	201	2	,	,	PUNCT
bracis-28397	201	3	vol	vol	NOUN
bracis-28397	201	4	.	.	PROPN
bracis-28397	201	5	12959	12959	NUM
bracis-28397	201	6	,	,	PUNCT
bracis-28397	201	7	pp	pp	ADJ
bracis-28397	201	8	.	.	PUNCT
bracis-28397	202	1	122–132	122–132	NUM
bracis-28397	202	2	.	.	PUNCT
bracis-28397	202	3	springer	springer	NOUN
bracis-28397	202	4	,	,	PUNCT
bracis-28397	202	5	cham	cham	PROPN
bracis-28397	202	6	(	(	PUNCT
bracis-28397	202	7	2021	2021	NUM
bracis-28397	202	8	)	)	PUNCT
bracis-28397	202	9	.	.	PUNCT
bracis-28397	203	1	https://doi.org/10.1007/978-3-030-87735-4_12	https://doi.org/10.1007/978-3-030-87735-4_12	PROPN
bracis-28397	203	2	chapter	chapter	NOUN
bracis-28397	203	3	  	  	SPACE
bracis-28397	203	4	google	google	PROPN
bracis-28397	203	5	scholar	scholar	NOUN
bracis-28397	203	6	  	  	SPACE
bracis-28397	203	7	calderon	calderon	NOUN
bracis-28397	203	8	-	-	PUNCT
bracis-28397	203	9	ramirez	ramirez	PROPN
bracis-28397	203	10	,	,	PUNCT
bracis-28397	203	11	s.	s.	PROPN
bracis-28397	203	12	,	,	PUNCT
bracis-28397	203	13	yang	yang	PROPN
bracis-28397	203	14	,	,	PUNCT
bracis-28397	203	15	s.	s.	PROPN
bracis-28397	203	16	,	,	PUNCT
bracis-28397	203	17	elizondo	elizondo	PROPN
bracis-28397	203	18	,	,	PUNCT
bracis-28397	203	19	d.	d.	PROPN
bracis-28397	203	20	,	,	PUNCT
bracis-28397	203	21	moemeni	moemeni	PROPN
bracis-28397	203	22	,	,	PUNCT
bracis-28397	203	23	a.	a.	NOUN
bracis-28397	203	24	:	:	PUNCT
bracis-28397	203	25	dealing	deal	VERB
bracis-28397	203	26	with	with	ADP
bracis-28397	203	27	distribution	distribution	NOUN
bracis-28397	203	28	mismatch	mismatch	NOUN
bracis-28397	203	29	in	in	ADP
bracis-28397	203	30	semi	semi	ADJ
bracis-28397	203	31	-	-	ADJ
bracis-28397	203	32	supervised	supervised	ADJ
bracis-28397	203	33	deep	deep	ADJ
bracis-28397	203	34	learning	learning	NOUN
bracis-28397	203	35	for	for	ADP
bracis-28397	203	36	covid-19	covid-19	PROPN
bracis-28397	203	37	detection	detection	NOUN
bracis-28397	203	38	using	use	VERB
bracis-28397	203	39	chest	chest	NOUN
bracis-28397	203	40	x	x	NOUN
bracis-28397	203	41	-	-	NOUN
bracis-28397	203	42	ray	ray	NOUN
bracis-28397	203	43	images	image	NOUN
bracis-28397	203	44	:	:	PUNCT
bracis-28397	203	45	a	a	DET
bracis-28397	203	46	novel	novel	ADJ
bracis-28397	203	47	approach	approach	NOUN
bracis-28397	203	48	using	use	VERB
bracis-28397	203	49	feature	feature	NOUN
bracis-28397	203	50	densities	density	NOUN
bracis-28397	203	51	.	.	PUNCT
bracis-28397	204	1	appl	appl	PROPN
bracis-28397	204	2	.	.	PUNCT
bracis-28397	204	3	soft	soft	ADJ
bracis-28397	204	4	comput	comput	NOUN
bracis-28397	204	5	.	.	PUNCT
bracis-28397	205	1	123	123	NUM
bracis-28397	205	2	,	,	PUNCT
bracis-28397	205	3	108983	108983	NUM
bracis-28397	205	4	(	(	PUNCT
bracis-28397	205	5	2022	2022	NUM
bracis-28397	205	6	)	)	PUNCT
bracis-28397	205	7	article	article	NOUN
bracis-28397	205	8	  	  	SPACE
bracis-28397	205	9	google	google	PROPN
bracis-28397	205	10	scholar	scholar	NOUN
bracis-28397	205	11	  	  	SPACE
bracis-28397	205	12	cao	cao	PROPN
bracis-28397	205	13	,	,	PUNCT
bracis-28397	205	14	t.	t.	PROPN
bracis-28397	205	15	,	,	PUNCT
bracis-28397	205	16	huang	huang	PROPN
bracis-28397	205	17	,	,	PUNCT
bracis-28397	205	18	c.w	c.w	PROPN
bracis-28397	205	19	.	.	PROPN
bracis-28397	205	20	,	,	PUNCT
bracis-28397	205	21	hui	hui	PROPN
bracis-28397	205	22	,	,	PUNCT
bracis-28397	205	23	d.y.t	d.y.t	PROPN
bracis-28397	205	24	.	.	PROPN
bracis-28397	205	25	,	,	PUNCT
bracis-28397	205	26	cohen	cohen	PROPN
bracis-28397	205	27	,	,	PUNCT
bracis-28397	205	28	j.p	j.p	PROPN
bracis-28397	205	29	.	.	PROPN
bracis-28397	205	30	:	:	PUNCT
bracis-28397	206	1	a	a	DET
bracis-28397	206	2	benchmark	benchmark	NOUN
bracis-28397	206	3	of	of	ADP
bracis-28397	206	4	medical	medical	ADJ
bracis-28397	206	5	out	out	ADP
bracis-28397	206	6	of	of	ADP
bracis-28397	206	7	distribution	distribution	NOUN
bracis-28397	206	8	detection	detection	NOUN
bracis-28397	206	9	.	.	PUNCT
bracis-28397	207	1	arxiv	arxiv	PROPN
bracis-28397	207	2	preprint	preprint	VERB
bracis-28397	207	3	arxiv:2007.04250	arxiv:2007.04250	NUM
bracis-28397	207	4	(	(	PUNCT
bracis-28397	207	5	2020	2020	NUM
bracis-28397	207	6	)	)	PUNCT
bracis-28397	207	7	carvalho	carvalho	NOUN
bracis-28397	207	8	,	,	PUNCT
bracis-28397	207	9	t.	t.	PROPN
bracis-28397	207	10	,	,	PUNCT
bracis-28397	207	11	vellasco	vellasco	PROPN
bracis-28397	207	12	,	,	PUNCT
bracis-28397	207	13	m.	m.	NOUN
bracis-28397	207	14	,	,	PUNCT
bracis-28397	207	15	amaral	amaral	PROPN
bracis-28397	207	16	,	,	PUNCT
bracis-28397	207	17	j.f	j.f	PROPN
bracis-28397	207	18	.	.	PROPN
bracis-28397	207	19	:	:	PUNCT
bracis-28397	207	20	out	out	ADP
bracis-28397	207	21	-	-	PUNCT
bracis-28397	207	22	of	of	ADP
bracis-28397	207	23	-	-	PUNCT
bracis-28397	207	24	distribution	distribution	NOUN
bracis-28397	207	25	detection	detection	NOUN
bracis-28397	207	26	in	in	ADP
bracis-28397	207	27	deep	deep	ADJ
bracis-28397	207	28	learning	learning	NOUN
bracis-28397	207	29	models	model	NOUN
bracis-28397	207	30	:	:	PUNCT
bracis-28397	207	31	a	a	DET
bracis-28397	207	32	feature	feature	NOUN
bracis-28397	207	33	space	space	NOUN
bracis-28397	207	34	-	-	PUNCT
bracis-28397	207	35	based	base	VERB
bracis-28397	207	36	approach	approach	NOUN
bracis-28397	207	37	.	.	PUNCT
bracis-28397	208	1	in	in	ADP
bracis-28397	208	2	:	:	PUNCT
bracis-28397	208	3	international	international	ADJ
bracis-28397	208	4	joint	joint	ADJ
bracis-28397	208	5	conference	conference	NOUN
bracis-28397	208	6	on	on	ADP
bracis-28397	208	7	neural	neural	ADJ
bracis-28397	208	8	networks	network	NOUN
bracis-28397	208	9	(	(	PUNCT
bracis-28397	208	10	2023	2023	NUM
bracis-28397	208	11	)	)	PUNCT
bracis-28397	208	12	google	google	NOUN
bracis-28397	208	13	scholar	scholar	NOUN
bracis-28397	208	14	  	  	SPACE
bracis-28397	208	15	cho	cho	PROPN
bracis-28397	208	16	,	,	PUNCT
bracis-28397	208	17	w.	w.	PROPN
bracis-28397	208	18	,	,	PUNCT
bracis-28397	208	19	park	park	PROPN
bracis-28397	208	20	,	,	PUNCT
bracis-28397	208	21	j.	j.	PROPN
bracis-28397	208	22	,	,	PUNCT
bracis-28397	208	23	choo	choo	PROPN
bracis-28397	208	24	,	,	PUNCT
bracis-28397	208	25	j.	j.	PROPN
bracis-28397	208	26	:	:	PUNCT
bracis-28397	208	27	training	train	VERB
bracis-28397	208	28	auxiliary	auxiliary	ADJ
bracis-28397	208	29	prototypical	prototypical	ADJ
bracis-28397	208	30	classifiers	classifier	NOUN
bracis-28397	208	31	for	for	ADP
bracis-28397	208	32	explainable	explainable	ADJ
bracis-28397	208	33	anomaly	anomaly	NOUN
bracis-28397	208	34	detection	detection	NOUN
bracis-28397	208	35	in	in	ADP
bracis-28397	208	36	medical	medical	ADJ
bracis-28397	208	37	image	image	NOUN
bracis-28397	208	38	segmentation	segmentation	NOUN
bracis-28397	208	39	.	.	PUNCT
bracis-28397	209	1	in	in	ADP
bracis-28397	209	2	:	:	PUNCT
bracis-28397	209	3	proceedings	proceeding	NOUN
bracis-28397	209	4	of	of	ADP
bracis-28397	209	5	the	the	DET
bracis-28397	209	6	ieee	ieee	NOUN
bracis-28397	209	7	/	/	SYM
bracis-28397	209	8	cvf	cvf	NOUN
bracis-28397	209	9	winter	winter	NOUN
bracis-28397	209	10	conference	conference	NOUN
bracis-28397	209	11	on	on	ADP
bracis-28397	209	12	applications	application	NOUN
bracis-28397	209	13	of	of	ADP
bracis-28397	209	14	computer	computer	NOUN
bracis-28397	209	15	vision	vision	NOUN
bracis-28397	209	16	,	,	PUNCT
bracis-28397	209	17	pp	pp	ADP
bracis-28397	209	18	.	.	PUNCT
bracis-28397	210	1	2624–2633	2624–2633	NUM
bracis-28397	210	2	(	(	PUNCT
bracis-28397	210	3	2023	2023	NUM
bracis-28397	210	4	)	)	PUNCT
bracis-28397	210	5	google	google	NOUN
bracis-28397	210	6	scholar	scholar	NOUN
bracis-28397	210	7	  	  	SPACE
bracis-28397	210	8	dosovitskiy	dosovitskiy	NOUN
bracis-28397	210	9	,	,	PUNCT
bracis-28397	210	10	a.	a.	NOUN
bracis-28397	210	11	,	,	PUNCT
bracis-28397	210	12	et	et	PROPN
bracis-28397	210	13	al	al	PROPN
bracis-28397	210	14	.	.	PUNCT
bracis-28397	210	15	:	:	PUNCT
bracis-28397	211	1	an	an	DET
bracis-28397	211	2	image	image	NOUN
bracis-28397	211	3	is	be	AUX
bracis-28397	211	4	worth	worth	ADJ
bracis-28397	211	5	16	16	NUM
bracis-28397	211	6	\(\times	\(\time	NOUN
bracis-28397	211	7	\)16	\)16	ADP
bracis-28397	211	8	words	word	NOUN
bracis-28397	211	9	:	:	PUNCT
bracis-28397	211	10	transformers	transformer	NOUN
bracis-28397	211	11	for	for	ADP
bracis-28397	211	12	image	image	NOUN
bracis-28397	211	13	recognition	recognition	NOUN
bracis-28397	211	14	at	at	ADP
bracis-28397	211	15	scale	scale	NOUN
bracis-28397	211	16	.	.	PUNCT
bracis-28397	212	1	arxiv	arxiv	PROPN
bracis-28397	212	2	preprint	preprint	VERB
bracis-28397	212	3	arxiv:2010.11929	arxiv:2010.11929	NOUN
bracis-28397	212	4	(	(	PUNCT
bracis-28397	212	5	2020	2020	NUM
bracis-28397	212	6	)	)	PUNCT
bracis-28397	213	1	he	he	PRON
bracis-28397	213	2	,	,	PUNCT
bracis-28397	213	3	k.	k.	PROPN
bracis-28397	213	4	,	,	PUNCT
bracis-28397	213	5	zhang	zhang	PROPN
bracis-28397	213	6	,	,	PUNCT
bracis-28397	213	7	x.	x.	PROPN
bracis-28397	213	8	,	,	PUNCT
bracis-28397	213	9	ren	ren	PROPN
bracis-28397	213	10	,	,	PUNCT
bracis-28397	213	11	s.	s.	PROPN
bracis-28397	213	12	,	,	PUNCT
bracis-28397	213	13	sun	sun	PROPN
bracis-28397	213	14	,	,	PUNCT
bracis-28397	213	15	j.	j.	PROPN
bracis-28397	213	16	:	:	PUNCT
bracis-28397	213	17	deep	deep	ADJ
bracis-28397	213	18	residual	residual	ADJ
bracis-28397	213	19	learning	learning	NOUN
bracis-28397	213	20	for	for	ADP
bracis-28397	213	21	image	image	NOUN
bracis-28397	213	22	recognition	recognition	NOUN
bracis-28397	213	23	.	.	PUNCT
bracis-28397	214	1	in	in	ADP
bracis-28397	214	2	:	:	PUNCT
bracis-28397	214	3	proceedings	proceeding	NOUN
bracis-28397	214	4	of	of	ADP
bracis-28397	214	5	the	the	DET
bracis-28397	214	6	ieee	ieee	NOUN
bracis-28397	214	7	conference	conference	NOUN
bracis-28397	214	8	on	on	ADP
bracis-28397	214	9	computer	computer	NOUN
bracis-28397	214	10	vision	vision	NOUN
bracis-28397	214	11	and	and	CCONJ
bracis-28397	214	12	pattern	pattern	NOUN
bracis-28397	214	13	recognition	recognition	NOUN
bracis-28397	214	14	,	,	PUNCT
bracis-28397	214	15	pp	pp	ADP
bracis-28397	214	16	.	.	PUNCT
bracis-28397	215	1	770–778	770–778	NUM
bracis-28397	215	2	(	(	PUNCT
bracis-28397	215	3	2016	2016	NUM
bracis-28397	215	4	)	)	PUNCT
bracis-28397	215	5	google	google	PROPN
bracis-28397	215	6	scholar	scholar	NOUN
bracis-28397	215	7	  	  	SPACE
bracis-28397	215	8	hendrycks	hendryck	NOUN
bracis-28397	215	9	,	,	PUNCT
bracis-28397	215	10	d.	d.	PROPN
bracis-28397	215	11	,	,	PUNCT
bracis-28397	215	12	et	et	PROPN
bracis-28397	215	13	al	al	PROPN
bracis-28397	215	14	.	.	PROPN
bracis-28397	215	15	:	:	PUNCT
bracis-28397	216	1	scaling	scale	VERB
bracis-28397	216	2	out	out	ADP
bracis-28397	216	3	-	-	PUNCT
bracis-28397	216	4	of	of	ADP
bracis-28397	216	5	-	-	PUNCT
bracis-28397	216	6	distribution	distribution	NOUN
bracis-28397	216	7	detection	detection	NOUN
bracis-28397	216	8	for	for	ADP
bracis-28397	216	9	real	real	ADJ
bracis-28397	216	10	-	-	PUNCT
bracis-28397	216	11	world	world	NOUN
bracis-28397	216	12	settings	setting	NOUN
bracis-28397	216	13	.	.	PUNCT
bracis-28397	217	1	in	in	ADP
bracis-28397	217	2	:	:	PUNCT
bracis-28397	217	3	international	international	ADJ
bracis-28397	217	4	conference	conference	NOUN
bracis-28397	217	5	on	on	ADP
bracis-28397	217	6	machine	machine	NOUN
bracis-28397	217	7	learning	learning	NOUN
bracis-28397	217	8	,	,	PUNCT
bracis-28397	217	9	pp	pp	PROPN
bracis-28397	217	10	.	.	PUNCT
bracis-28397	217	11	8759–8773	8759–8773	NUM
bracis-28397	217	12	.	.	PUNCT
bracis-28397	218	1	pmlr	pmlr	PROPN
bracis-28397	218	2	(	(	PUNCT
bracis-28397	218	3	2022	2022	NUM
bracis-28397	218	4	)	)	PUNCT
bracis-28397	218	5	google	google	NOUN
bracis-28397	218	6	scholar	scholar	NOUN
bracis-28397	218	7	  	  	SPACE
bracis-28397	218	8	hendrycks	hendryck	NOUN
bracis-28397	218	9	,	,	PUNCT
bracis-28397	218	10	d.	d.	PROPN
bracis-28397	218	11	,	,	PUNCT
bracis-28397	218	12	carlini	carlini	PROPN
bracis-28397	218	13	,	,	PUNCT
bracis-28397	218	14	n.	n.	PROPN
bracis-28397	218	15	,	,	PUNCT
bracis-28397	218	16	schulman	schulman	PROPN
bracis-28397	218	17	,	,	PUNCT
bracis-28397	218	18	j.	j.	PROPN
bracis-28397	218	19	,	,	PUNCT
bracis-28397	218	20	steinhardt	steinhardt	PROPN
bracis-28397	218	21	,	,	PUNCT
bracis-28397	218	22	j.	j.	PROPN
bracis-28397	218	23	:	:	PUNCT
bracis-28397	218	24	unsolved	unsolved	ADJ
bracis-28397	218	25	problems	problem	NOUN
bracis-28397	218	26	in	in	ADP
bracis-28397	218	27	ml	ml	NOUN
bracis-28397	218	28	safety	safety	NOUN
bracis-28397	218	29	.	.	PUNCT
bracis-28397	219	1	arxiv	arxiv	PROPN
bracis-28397	219	2	preprint	preprint	NOUN
bracis-28397	219	3	arxiv:2109.13916	arxiv:2109.13916	NUM
bracis-28397	219	4	(	(	PUNCT
bracis-28397	219	5	2021	2021	NUM
bracis-28397	219	6	)	)	PUNCT
bracis-28397	219	7	hendrycks	hendryck	NOUN
bracis-28397	219	8	,	,	PUNCT
bracis-28397	219	9	d.	d.	PROPN
bracis-28397	219	10	,	,	PUNCT
bracis-28397	219	11	gimpel	gimpel	PROPN
bracis-28397	219	12	,	,	PUNCT
bracis-28397	219	13	k.	k.	PROPN
bracis-28397	219	14	:	:	PUNCT
bracis-28397	219	15	a	a	DET
bracis-28397	219	16	baseline	baseline	NOUN
bracis-28397	219	17	for	for	ADP
bracis-28397	219	18	detecting	detect	VERB
bracis-28397	219	19	misclassified	misclassified	ADJ
bracis-28397	219	20	and	and	CCONJ
bracis-28397	219	21	out	out	ADP
bracis-28397	219	22	-	-	PUNCT
bracis-28397	219	23	of	of	ADP
bracis-28397	219	24	-	-	PUNCT
bracis-28397	219	25	distribution	distribution	NOUN
bracis-28397	219	26	examples	example	NOUN
bracis-28397	219	27	in	in	ADP
bracis-28397	219	28	neural	neural	ADJ
bracis-28397	219	29	networks	network	NOUN
bracis-28397	219	30	.	.	PUNCT
bracis-28397	220	1	arxiv	arxiv	PROPN
bracis-28397	220	2	preprint	preprint	NOUN
bracis-28397	220	3	arxiv:1610.02136	arxiv:1610.02136	ADV
bracis-28397	220	4	(	(	PUNCT
bracis-28397	220	5	2016	2016	NUM
bracis-28397	220	6	)	)	PUNCT
bracis-28397	220	7	kamoi	kamoi	PROPN
bracis-28397	220	8	,	,	PUNCT
bracis-28397	220	9	r.	r.	PROPN
bracis-28397	220	10	,	,	PUNCT
bracis-28397	220	11	kobayashi	kobayashi	PROPN
bracis-28397	220	12	,	,	PUNCT
bracis-28397	220	13	k.	k.	PROPN
bracis-28397	220	14	:	:	PUNCT
bracis-28397	220	15	why	why	SCONJ
bracis-28397	220	16	is	be	AUX
bracis-28397	220	17	the	the	DET
bracis-28397	220	18	mahalanobis	mahalanobis	ADJ
bracis-28397	220	19	distance	distance	NOUN
bracis-28397	220	20	effective	effective	ADJ
bracis-28397	220	21	for	for	ADP
bracis-28397	220	22	anomaly	anomaly	NOUN
bracis-28397	220	23	detection	detection	NOUN
bracis-28397	220	24	?	?	PUNCT
bracis-28397	221	1	arxiv	arxiv	PROPN
bracis-28397	221	2	preprint	preprint	VERB
bracis-28397	221	3	arxiv:2003.00402	arxiv:2003.00402	NOUN
bracis-28397	221	4	(	(	PUNCT
bracis-28397	221	5	2020	2020	NUM
bracis-28397	221	6	)	)	PUNCT
bracis-28397	221	7	karimi	karimi	PROPN
bracis-28397	221	8	,	,	PUNCT
bracis-28397	221	9	d.	d.	PROPN
bracis-28397	221	10	,	,	PUNCT
bracis-28397	221	11	gholipour	gholipour	ADJ
bracis-28397	221	12	,	,	PUNCT
bracis-28397	221	13	a.	a.	NOUN
bracis-28397	221	14	:	:	PUNCT
bracis-28397	221	15	improving	improve	VERB
bracis-28397	221	16	calibration	calibration	NOUN
bracis-28397	221	17	and	and	CCONJ
bracis-28397	221	18	out	out	ADP
bracis-28397	221	19	-	-	PUNCT
bracis-28397	221	20	of	of	ADP
bracis-28397	221	21	-	-	PUNCT
bracis-28397	221	22	distribution	distribution	NOUN
bracis-28397	221	23	detection	detection	NOUN
bracis-28397	221	24	in	in	ADP
bracis-28397	221	25	deep	deep	ADJ
bracis-28397	221	26	models	model	NOUN
bracis-28397	221	27	for	for	ADP
bracis-28397	221	28	medical	medical	ADJ
bracis-28397	221	29	image	image	NOUN
bracis-28397	221	30	segmentation	segmentation	NOUN
bracis-28397	221	31	.	.	PUNCT
bracis-28397	222	1	ieee	ieee	PROPN
bracis-28397	222	2	trans	trans	PROPN
bracis-28397	222	3	.	.	PUNCT
bracis-28397	223	1	artif	artif	PROPN
bracis-28397	223	2	.	.	PUNCT
bracis-28397	224	1	intell	intell	PROPN
bracis-28397	224	2	.	.	PUNCT
bracis-28397	225	1	4	4	NUM
bracis-28397	225	2	,	,	PUNCT
bracis-28397	225	3	383–397	383–397	NUM
bracis-28397	225	4	(	(	PUNCT
bracis-28397	225	5	2022	2022	NUM
bracis-28397	225	6	)	)	PUNCT
bracis-28397	225	7	article	article	NOUN
bracis-28397	225	8	  	  	SPACE
bracis-28397	225	9	google	google	PROPN
bracis-28397	225	10	scholar	scholar	NOUN
bracis-28397	225	11	  	  	SPACE
bracis-28397	225	12	lambert	lambert	PROPN
bracis-28397	225	13	,	,	PUNCT
bracis-28397	225	14	b.	b.	PROPN
bracis-28397	225	15	,	,	PUNCT
bracis-28397	225	16	forbes	forbes	PROPN
bracis-28397	225	17	,	,	PUNCT
bracis-28397	225	18	f.	f.	PROPN
bracis-28397	225	19	,	,	PUNCT
bracis-28397	225	20	doyle	doyle	PROPN
bracis-28397	225	21	,	,	PUNCT
bracis-28397	225	22	s.	s.	PROPN
bracis-28397	225	23	,	,	PUNCT
bracis-28397	225	24	tucholka	tucholka	PROPN
bracis-28397	225	25	,	,	PUNCT
bracis-28397	225	26	a.	a.	NOUN
bracis-28397	225	27	,	,	PUNCT
bracis-28397	225	28	dojat	dojat	PROPN
bracis-28397	225	29	,	,	PUNCT
bracis-28397	225	30	m.	m.	NOUN
bracis-28397	225	31	:	:	PUNCT
bracis-28397	225	32	improving	improve	VERB
bracis-28397	225	33	uncertainty	uncertainty	NOUN
bracis-28397	225	34	-	-	PUNCT
bracis-28397	225	35	based	base	VERB
bracis-28397	225	36	out	out	ADP
bracis-28397	225	37	-	-	PUNCT
bracis-28397	225	38	of	of	ADP
bracis-28397	225	39	-	-	PUNCT
bracis-28397	225	40	distribution	distribution	NOUN
bracis-28397	225	41	detection	detection	NOUN
bracis-28397	225	42	for	for	ADP
bracis-28397	225	43	medical	medical	ADJ
bracis-28397	225	44	image	image	NOUN
bracis-28397	225	45	segmentation	segmentation	NOUN
bracis-28397	225	46	.	.	PUNCT
bracis-28397	226	1	arxiv	arxiv	PROPN
bracis-28397	226	2	preprint	preprint	VERB
bracis-28397	226	3	arxiv:2211.05421	arxiv:2211.05421	NOUN
bracis-28397	226	4	(	(	PUNCT
bracis-28397	226	5	2022	2022	NUM
bracis-28397	226	6	)	)	PUNCT
bracis-28397	226	7	lee	lee	PROPN
bracis-28397	226	8	,	,	PUNCT
bracis-28397	226	9	k.	k.	PROPN
bracis-28397	226	10	,	,	PUNCT
bracis-28397	226	11	lee	lee	PROPN
bracis-28397	226	12	,	,	PUNCT
bracis-28397	226	13	k.	k.	PROPN
bracis-28397	226	14	,	,	PUNCT
bracis-28397	226	15	lee	lee	PROPN
bracis-28397	226	16	,	,	PUNCT
bracis-28397	226	17	h.	h.	PROPN
bracis-28397	226	18	,	,	PUNCT
bracis-28397	226	19	shin	shin	PROPN
bracis-28397	226	20	,	,	PUNCT
bracis-28397	226	21	j.	j.	PROPN
bracis-28397	226	22	:	:	PUNCT
bracis-28397	226	23	a	a	DET
bracis-28397	226	24	simple	simple	ADJ
bracis-28397	226	25	unified	unified	ADJ
bracis-28397	226	26	framework	framework	NOUN
bracis-28397	226	27	for	for	ADP
bracis-28397	226	28	detecting	detect	VERB
bracis-28397	226	29	out	out	ADP
bracis-28397	226	30	-	-	PUNCT
bracis-28397	226	31	of	of	ADP
bracis-28397	226	32	-	-	PUNCT
bracis-28397	226	33	distribution	distribution	NOUN
bracis-28397	226	34	samples	sample	NOUN
bracis-28397	226	35	and	and	CCONJ
bracis-28397	226	36	adversarial	adversarial	ADJ
bracis-28397	226	37	attacks	attack	NOUN
bracis-28397	226	38	.	.	PUNCT
bracis-28397	227	1	in	in	ADP
bracis-28397	227	2	:	:	PUNCT
bracis-28397	227	3	advances	advance	NOUN
bracis-28397	227	4	in	in	ADP
bracis-28397	227	5	neural	neural	ADJ
bracis-28397	227	6	information	information	NOUN
bracis-28397	227	7	processing	processing	NOUN
bracis-28397	227	8	systems	system	NOUN
bracis-28397	227	9	,	,	PUNCT
bracis-28397	227	10	vol	vol	NOUN
bracis-28397	227	11	.	.	PROPN
bracis-28397	227	12	31	31	NUM
bracis-28397	227	13	(	(	PUNCT
bracis-28397	227	14	2018	2018	NUM
bracis-28397	227	15	)	)	PUNCT
bracis-28397	227	16	google	google	PROPN
bracis-28397	227	17	scholar	scholar	NOUN
bracis-28397	227	18	  	  	SPACE
bracis-28397	227	19	liu	liu	PROPN
bracis-28397	227	20	,	,	PUNCT
bracis-28397	227	21	w.	w.	PROPN
bracis-28397	227	22	,	,	PUNCT
bracis-28397	227	23	wang	wang	PROPN
bracis-28397	227	24	,	,	PUNCT
bracis-28397	227	25	x.	x.	PROPN
bracis-28397	227	26	,	,	PUNCT
bracis-28397	227	27	owens	owens	PROPN
bracis-28397	227	28	,	,	PUNCT
bracis-28397	227	29	j.	j.	PROPN
bracis-28397	227	30	,	,	PUNCT
bracis-28397	227	31	li	li	PROPN
bracis-28397	227	32	,	,	PUNCT
bracis-28397	227	33	y.	y.	NOUN
bracis-28397	227	34	:	:	PUNCT
bracis-28397	227	35	energy	energy	NOUN
bracis-28397	227	36	-	-	PUNCT
bracis-28397	227	37	based	base	VERB
bracis-28397	227	38	out	out	ADP
bracis-28397	227	39	-	-	PUNCT
bracis-28397	227	40	of	of	ADP
bracis-28397	227	41	-	-	PUNCT
bracis-28397	227	42	distribution	distribution	NOUN
bracis-28397	227	43	detection	detection	NOUN
bracis-28397	227	44	.	.	PUNCT
bracis-28397	228	1	adv	adv	PROPN
bracis-28397	228	2	.	.	PUNCT
bracis-28397	228	3	neural	neural	PROPN
bracis-28397	228	4	.	.	PUNCT
bracis-28397	229	1	inf	inf	PROPN
bracis-28397	229	2	.	.	PROPN
bracis-28397	229	3	process	process	NOUN
bracis-28397	229	4	.	.	PUNCT
bracis-28397	230	1	syst	syst	PROPN
bracis-28397	230	2	.	.	PUNCT
bracis-28397	231	1	33	33	NUM
bracis-28397	231	2	,	,	PUNCT
bracis-28397	231	3	21464–21475	21464–21475	NUM
bracis-28397	231	4	(	(	PUNCT
bracis-28397	231	5	2020	2020	NUM
bracis-28397	231	6	)	)	PUNCT
bracis-28397	231	7	google	google	PROPN
bracis-28397	231	8	scholar	scholar	NOUN
bracis-28397	231	9	  	  	SPACE
bracis-28397	231	10	liu	liu	PROPN
bracis-28397	231	11	,	,	PUNCT
bracis-28397	231	12	z.	z.	PROPN
bracis-28397	231	13	,	,	PUNCT
bracis-28397	231	14	mao	mao	PROPN
bracis-28397	231	15	,	,	PUNCT
bracis-28397	231	16	h.	h.	PROPN
bracis-28397	231	17	,	,	PUNCT
bracis-28397	231	18	wu	wu	PROPN
bracis-28397	231	19	,	,	PUNCT
bracis-28397	231	20	c.y	c.y	PROPN
bracis-28397	231	21	.	.	PROPN
bracis-28397	231	22	,	,	PUNCT
bracis-28397	231	23	feichtenhofer	feichtenhofer	NOUN
bracis-28397	231	24	,	,	PUNCT
bracis-28397	231	25	c.	c.	PROPN
bracis-28397	231	26	,	,	PUNCT
bracis-28397	231	27	darrell	darrell	PROPN
bracis-28397	231	28	,	,	PUNCT
bracis-28397	231	29	t.	t.	PROPN
bracis-28397	231	30	,	,	PUNCT
bracis-28397	231	31	xie	xie	PROPN
bracis-28397	231	32	,	,	PUNCT
bracis-28397	231	33	s.	s.	PROPN
bracis-28397	231	34	:	:	PUNCT
bracis-28397	231	35	a	a	DET
bracis-28397	231	36	convnet	convnet	NOUN
bracis-28397	231	37	for	for	ADP
bracis-28397	231	38	the	the	DET
bracis-28397	231	39	2020s	2020	NOUN
bracis-28397	231	40	.	.	PUNCT
bracis-28397	232	1	in	in	ADP
bracis-28397	232	2	:	:	PUNCT
bracis-28397	232	3	proceedings	proceeding	NOUN
bracis-28397	232	4	of	of	ADP
bracis-28397	232	5	the	the	DET
bracis-28397	232	6	ieee	ieee	NOUN
bracis-28397	232	7	/	/	SYM
bracis-28397	232	8	cvf	cvf	NOUN
bracis-28397	232	9	conference	conference	NOUN
bracis-28397	232	10	on	on	ADP
bracis-28397	232	11	computer	computer	NOUN
bracis-28397	232	12	vision	vision	NOUN
bracis-28397	232	13	and	and	CCONJ
bracis-28397	232	14	pattern	pattern	NOUN
bracis-28397	232	15	recognition	recognition	NOUN
bracis-28397	232	16	,	,	PUNCT
bracis-28397	232	17	pp	pp	PROPN
bracis-28397	232	18	.	.	PUNCT
bracis-28397	233	1	11976–11986	11976–11986	NUM
bracis-28397	233	2	(	(	PUNCT
bracis-28397	233	3	2022	2022	NUM
bracis-28397	233	4	)	)	PUNCT
bracis-28397	233	5	google	google	PROPN
bracis-28397	233	6	scholar	scholar	NOUN
bracis-28397	233	7	  	  	SPACE
bracis-28397	233	8	martinez	martinez	PROPN
bracis-28397	233	9	,	,	PUNCT
bracis-28397	233	10	j.a.c	j.a.c	PROPN
bracis-28397	233	11	.	.	PROPN
bracis-28397	233	12	,	,	PUNCT
bracis-28397	233	13	oliveira	oliveira	PROPN
bracis-28397	233	14	,	,	PUNCT
bracis-28397	233	15	h.	h.	PROPN
bracis-28397	233	16	,	,	PUNCT
bracis-28397	233	17	dos	do	VERB
bracis-28397	233	18	santos	santos	PROPN
bracis-28397	233	19	,	,	PUNCT
bracis-28397	233	20	j.a	j.a	PROPN
bracis-28397	233	21	.	.	PROPN
bracis-28397	233	22	,	,	PUNCT
bracis-28397	233	23	feitosa	feitosa	PROPN
bracis-28397	233	24	,	,	PUNCT
bracis-28397	233	25	r.q	r.q	PROPN
bracis-28397	233	26	.	.	PROPN
bracis-28397	233	27	:	:	PUNCT
bracis-28397	234	1	open	open	PROPN
bracis-28397	234	2	set	set	VERB
bracis-28397	234	3	semantic	semantic	ADJ
bracis-28397	234	4	segmentation	segmentation	NOUN
bracis-28397	234	5	for	for	ADP
bracis-28397	234	6	multitemporal	multitemporal	ADJ
bracis-28397	234	7	crop	crop	NOUN
bracis-28397	234	8	recognition	recognition	NOUN
bracis-28397	234	9	.	.	PUNCT
bracis-28397	235	1	ieee	ieee	PROPN
bracis-28397	235	2	geosci	geosci	PROPN
bracis-28397	235	3	.	.	PUNCT
bracis-28397	236	1	remote	remote	PROPN
bracis-28397	236	2	sens	sens	PROPN
bracis-28397	236	3	.	.	PROPN
bracis-28397	236	4	lett	lett	PROPN
bracis-28397	236	5	.	.	PROPN
bracis-28397	237	1	19	19	NUM
bracis-28397	237	2	,	,	PUNCT
bracis-28397	237	3	1–5	1–5	NUM
bracis-28397	237	4	(	(	PUNCT
bracis-28397	237	5	2021	2021	NUM
bracis-28397	237	6	)	)	PUNCT
bracis-28397	237	7	article	article	NOUN
bracis-28397	237	8	  	  	SPACE
bracis-28397	237	9	google	google	PROPN
bracis-28397	237	10	scholar	scholar	NOUN
bracis-28397	237	11	  	  	SPACE
bracis-28397	237	12	muhammad	muhammad	PROPN
bracis-28397	237	13	,	,	PUNCT
bracis-28397	237	14	k.	k.	PROPN
bracis-28397	237	15	,	,	PUNCT
bracis-28397	237	16	et	et	PROPN
bracis-28397	237	17	al	al	PROPN
bracis-28397	237	18	.	.	PROPN
bracis-28397	237	19	:	:	PUNCT
bracis-28397	238	1	vision	vision	NOUN
bracis-28397	238	2	-	-	PUNCT
bracis-28397	238	3	based	base	VERB
bracis-28397	238	4	semantic	semantic	ADJ
bracis-28397	238	5	segmentation	segmentation	NOUN
bracis-28397	238	6	in	in	ADP
bracis-28397	238	7	scene	scene	NOUN
bracis-28397	238	8	understanding	understanding	NOUN
bracis-28397	238	9	for	for	ADP
bracis-28397	238	10	autonomous	autonomous	ADJ
bracis-28397	238	11	driving	driving	NOUN
bracis-28397	238	12	:	:	PUNCT
bracis-28397	238	13	recent	recent	ADJ
bracis-28397	238	14	achievements	achievement	NOUN
bracis-28397	238	15	,	,	PUNCT
bracis-28397	238	16	challenges	challenge	NOUN
bracis-28397	238	17	,	,	PUNCT
bracis-28397	238	18	and	and	CCONJ
bracis-28397	238	19	outlooks	outlook	NOUN
bracis-28397	238	20	.	.	PUNCT
bracis-28397	239	1	ieee	ieee	PROPN
bracis-28397	239	2	trans	trans	PROPN
bracis-28397	239	3	.	.	PUNCT
bracis-28397	240	1	intell	intell	PROPN
bracis-28397	240	2	.	.	PUNCT
bracis-28397	241	1	transp	transp	PROPN
bracis-28397	241	2	.	.	PUNCT
bracis-28397	242	1	syst	syst	PROPN
bracis-28397	242	2	.	.	PUNCT
bracis-28397	243	1	23	23	NUM
bracis-28397	243	2	,	,	PUNCT
bracis-28397	243	3	22694–22715	22694–22715	NUM
bracis-28397	243	4	(	(	PUNCT
bracis-28397	243	5	2022	2022	NUM
bracis-28397	243	6	)	)	PUNCT
bracis-28397	243	7	article	article	NOUN
bracis-28397	243	8	  	  	SPACE
bracis-28397	243	9	google	google	PROPN
bracis-28397	243	10	scholar	scholar	NOUN
bracis-28397	243	11	  	  	SPACE
bracis-28397	243	12	nunes	nune	NOUN
bracis-28397	243	13	,	,	PUNCT
bracis-28397	243	14	i.	i.	PROPN
bracis-28397	243	15	,	,	PUNCT
bracis-28397	243	16	pereira	pereira	PROPN
bracis-28397	243	17	,	,	PUNCT
bracis-28397	243	18	m.b	m.b	PROPN
bracis-28397	243	19	.	.	PROPN
bracis-28397	243	20	,	,	PUNCT
bracis-28397	243	21	oliveira	oliveira	PROPN
bracis-28397	243	22	,	,	PUNCT
bracis-28397	243	23	h.	h.	PROPN
bracis-28397	243	24	,	,	PUNCT
bracis-28397	243	25	santos	santos	PROPN
bracis-28397	243	26	,	,	PUNCT
bracis-28397	243	27	j.a.d	j.a.d	PROPN
bracis-28397	243	28	.	.	PROPN
bracis-28397	243	29	,	,	PUNCT
bracis-28397	243	30	poggi	poggi	PROPN
bracis-28397	243	31	,	,	PUNCT
bracis-28397	243	32	m.	m.	NOUN
bracis-28397	243	33	:	:	PUNCT
bracis-28397	243	34	fuss	fuss	NOUN
bracis-28397	243	35	:	:	PUNCT
bracis-28397	243	36	fusing	fuse	VERB
bracis-28397	243	37	superpixels	superpixel	NOUN
bracis-28397	243	38	for	for	ADP
bracis-28397	243	39	improved	improved	ADJ
bracis-28397	243	40	segmentation	segmentation	NOUN
bracis-28397	243	41	consistency	consistency	NOUN
bracis-28397	243	42	.	.	PUNCT
bracis-28397	244	1	arxiv	arxiv	PROPN
bracis-28397	244	2	preprint	preprint	NOUN
bracis-28397	244	3	arxiv:2206.02714	arxiv:2206.02714	NOUN
bracis-28397	244	4	(	(	PUNCT
bracis-28397	244	5	2022	2022	NUM
bracis-28397	244	6	)	)	PUNCT
bracis-28397	244	7	oliveira	oliveira	PROPN
bracis-28397	244	8	,	,	PUNCT
bracis-28397	244	9	h.	h.	PROPN
bracis-28397	244	10	,	,	PUNCT
bracis-28397	244	11	silva	silva	PROPN
bracis-28397	244	12	,	,	PUNCT
bracis-28397	244	13	c.	c.	PROPN
bracis-28397	244	14	,	,	PUNCT
bracis-28397	244	15	machado	machado	PROPN
bracis-28397	244	16	,	,	PUNCT
bracis-28397	244	17	g.l	g.l	PROPN
bracis-28397	244	18	.	.	PROPN
bracis-28397	244	19	,	,	PUNCT
bracis-28397	244	20	nogueira	nogueira	PROPN
bracis-28397	244	21	,	,	PUNCT
bracis-28397	244	22	k.	k.	PROPN
bracis-28397	244	23	,	,	PUNCT
bracis-28397	244	24	dos	do	VERB
bracis-28397	244	25	santos	santos	PROPN
bracis-28397	244	26	,	,	PUNCT
bracis-28397	244	27	j.a	j.a	PROPN
bracis-28397	244	28	.	.	PROPN
bracis-28397	244	29	:	:	PUNCT
bracis-28397	244	30	fully	fully	ADV
bracis-28397	244	31	convolutional	convolutional	ADJ
bracis-28397	244	32	open	open	ADJ
bracis-28397	244	33	set	set	VERB
bracis-28397	244	34	segmentation	segmentation	NOUN
bracis-28397	244	35	.	.	PUNCT
bracis-28397	245	1	mach	mach	PROPN
bracis-28397	245	2	.	.	PUNCT
bracis-28397	246	1	learn	learn	VERB
bracis-28397	246	2	.	.	PUNCT
bracis-28397	247	1	112	112	NUM
bracis-28397	247	2	,	,	PUNCT
bracis-28397	247	3	1733–1784	1733–1784	NUM
bracis-28397	247	4	(	(	PUNCT
bracis-28397	247	5	2021	2021	NUM
bracis-28397	247	6	)	)	PUNCT
bracis-28397	247	7	article	article	NOUN
bracis-28397	247	8	  	  	SPACE
bracis-28397	247	9	mathscinet	mathscinet	NOUN
bracis-28397	247	10	  	  	SPACE
bracis-28397	247	11	math	math	NOUN
bracis-28397	247	12	  	  	SPACE
bracis-28397	247	13	google	google	PROPN
bracis-28397	247	14	scholar	scholar	NOUN
bracis-28397	247	15	  	  	SPACE
bracis-28397	247	16	pawlowski	pawlowski	NOUN
bracis-28397	247	17	,	,	PUNCT
bracis-28397	247	18	n.	n.	NOUN
bracis-28397	247	19	,	,	PUNCT
bracis-28397	247	20	glocker	glocker	NOUN
bracis-28397	247	21	,	,	PUNCT
bracis-28397	247	22	b.	b.	PROPN
bracis-28397	247	23	:	:	PUNCT
bracis-28397	247	24	abnormality	abnormality	NOUN
bracis-28397	247	25	detection	detection	NOUN
bracis-28397	247	26	in	in	ADP
bracis-28397	247	27	histopathology	histopathology	NOUN
bracis-28397	247	28	via	via	ADP
bracis-28397	247	29	density	density	NOUN
bracis-28397	247	30	estimation	estimation	NOUN
bracis-28397	247	31	with	with	ADP
bracis-28397	247	32	normalising	normalise	VERB
bracis-28397	247	33	flows	flow	NOUN
bracis-28397	247	34	.	.	PUNCT
bracis-28397	248	1	in	in	ADP
bracis-28397	248	2	:	:	PUNCT
bracis-28397	248	3	medical	medical	ADJ
bracis-28397	248	4	imaging	imaging	NOUN
bracis-28397	248	5	with	with	ADP
bracis-28397	248	6	deep	deep	ADJ
bracis-28397	248	7	learning	learning	NOUN
bracis-28397	248	8	(	(	PUNCT
bracis-28397	248	9	2021	2021	NUM
bracis-28397	248	10	)	)	PUNCT
bracis-28397	248	11	google	google	NOUN
bracis-28397	248	12	scholar	scholar	NOUN
bracis-28397	248	13	  	  	SPACE
bracis-28397	248	14	podolskiy	podolskiy	NOUN
bracis-28397	248	15	,	,	PUNCT
bracis-28397	248	16	a.	a.	NOUN
bracis-28397	248	17	,	,	PUNCT
bracis-28397	248	18	lipin	lipin	NOUN
bracis-28397	248	19	,	,	PUNCT
bracis-28397	248	20	d.	d.	PROPN
bracis-28397	248	21	,	,	PUNCT
bracis-28397	248	22	bout	bout	NOUN
bracis-28397	248	23	,	,	PUNCT
bracis-28397	248	24	a.	a.	NOUN
bracis-28397	248	25	,	,	PUNCT
bracis-28397	248	26	artemova	artemova	PROPN
bracis-28397	248	27	,	,	PUNCT
bracis-28397	248	28	e.	e.	PROPN
bracis-28397	248	29	,	,	PUNCT
bracis-28397	248	30	piontkovskaya	piontkovskaya	PROPN
bracis-28397	248	31	,	,	PUNCT
bracis-28397	248	32	i.	i.	PROPN
bracis-28397	248	33	:	:	PUNCT
bracis-28397	248	34	revisiting	revisit	VERB
bracis-28397	248	35	mahalanobis	mahalanobis	ADJ
bracis-28397	248	36	distance	distance	NOUN
bracis-28397	248	37	for	for	ADP
bracis-28397	248	38	transformer	transformer	NOUN
bracis-28397	248	39	-	-	PUNCT
bracis-28397	248	40	based	base	VERB
bracis-28397	248	41	out	out	ADP
bracis-28397	248	42	-	-	PUNCT
bracis-28397	248	43	of	of	ADP
bracis-28397	248	44	-	-	PUNCT
bracis-28397	248	45	domain	domain	NOUN
bracis-28397	248	46	detection	detection	NOUN
bracis-28397	248	47	.	.	PUNCT
bracis-28397	249	1	in	in	ADP
bracis-28397	249	2	:	:	PUNCT
bracis-28397	249	3	proceedings	proceeding	NOUN
bracis-28397	249	4	of	of	ADP
bracis-28397	249	5	the	the	DET
bracis-28397	249	6	aaai	aaai	PROPN
bracis-28397	249	7	conference	conference	NOUN
bracis-28397	249	8	on	on	ADP
bracis-28397	249	9	artificial	artificial	ADJ
bracis-28397	249	10	intelligence	intelligence	NOUN
bracis-28397	249	11	,	,	PUNCT
bracis-28397	249	12	vol	vol	NOUN
bracis-28397	249	13	.	.	PROPN
bracis-28397	249	14	35	35	NUM
bracis-28397	249	15	,	,	PUNCT
bracis-28397	249	16	pp	pp	ADJ
bracis-28397	249	17	.	.	PUNCT
bracis-28397	250	1	13675–13682	13675–13682	NUM
bracis-28397	250	2	(	(	PUNCT
bracis-28397	250	3	2021	2021	NUM
bracis-28397	250	4	)	)	PUNCT
bracis-28397	250	5	google	google	PROPN
bracis-28397	250	6	scholar	scholar	NOUN
bracis-28397	250	7	  	  	SPACE
bracis-28397	250	8	ren	ren	PROPN
bracis-28397	250	9	,	,	PUNCT
bracis-28397	250	10	j.	j.	PROPN
bracis-28397	250	11	,	,	PUNCT
bracis-28397	250	12	fort	fort	PROPN
bracis-28397	250	13	,	,	PUNCT
bracis-28397	250	14	s.	s.	PROPN
bracis-28397	250	15	,	,	PUNCT
bracis-28397	250	16	liu	liu	PROPN
bracis-28397	250	17	,	,	PUNCT
bracis-28397	250	18	j.	j.	PROPN
bracis-28397	250	19	,	,	PUNCT
bracis-28397	250	20	roy	roy	PROPN
bracis-28397	250	21	,	,	PUNCT
bracis-28397	250	22	a.g	a.g	PROPN
bracis-28397	250	23	.	.	PROPN
bracis-28397	250	24	,	,	PUNCT
bracis-28397	250	25	padhy	padhy	PROPN
bracis-28397	250	26	,	,	PUNCT
bracis-28397	250	27	s.	s.	PROPN
bracis-28397	250	28	,	,	PUNCT
bracis-28397	250	29	lakshminarayanan	lakshminarayanan	PROPN
bracis-28397	250	30	,	,	PUNCT
bracis-28397	250	31	b.	b.	PROPN
bracis-28397	250	32	:	:	PUNCT
bracis-28397	250	33	a	a	DET
bracis-28397	250	34	simple	simple	ADJ
bracis-28397	250	35	fix	fix	NOUN
bracis-28397	250	36	to	to	PART
bracis-28397	250	37	mahalanobis	mahalanobis	VERB
bracis-28397	250	38	distance	distance	NOUN
bracis-28397	250	39	for	for	ADP
bracis-28397	250	40	improving	improve	VERB
bracis-28397	250	41	near	near	ADJ
bracis-28397	250	42	-	-	PUNCT
bracis-28397	250	43	ood	ood	NOUN
bracis-28397	250	44	detection	detection	NOUN
bracis-28397	250	45	.	.	PUNCT
bracis-28397	251	1	arxiv	arxiv	PROPN
bracis-28397	251	2	preprint	preprint	NOUN
bracis-28397	251	3	arxiv:2106.09022	arxiv:2106.09022	NOUN
bracis-28397	251	4	(	(	PUNCT
bracis-28397	251	5	2021	2021	NUM
bracis-28397	251	6	)	)	PUNCT
bracis-28397	251	7	roy	roy	PROPN
bracis-28397	251	8	,	,	PUNCT
bracis-28397	251	9	a.g	a.g	PROPN
bracis-28397	251	10	.	.	PROPN
bracis-28397	251	11	,	,	PUNCT
bracis-28397	251	12	et	et	PROPN
bracis-28397	251	13	al	al	PROPN
bracis-28397	251	14	.	.	PROPN
bracis-28397	251	15	:	:	PUNCT
bracis-28397	252	1	does	do	AUX
bracis-28397	252	2	your	your	PRON
bracis-28397	252	3	dermatology	dermatology	NOUN
bracis-28397	252	4	classifier	classifier	NOUN
bracis-28397	252	5	know	know	VERB
bracis-28397	252	6	what	what	PRON
bracis-28397	252	7	it	it	PRON
bracis-28397	252	8	does	do	AUX
bracis-28397	252	9	n’t	not	PART
bracis-28397	252	10	know	know	VERB
bracis-28397	252	11	?	?	PUNCT
bracis-28397	253	1	detecting	detect	VERB
bracis-28397	253	2	the	the	DET
bracis-28397	253	3	long	long	ADJ
bracis-28397	253	4	-	-	PUNCT
bracis-28397	253	5	tail	tail	NOUN
bracis-28397	253	6	of	of	ADP
bracis-28397	253	7	unseen	unseen	ADJ
bracis-28397	253	8	conditions	condition	NOUN
bracis-28397	253	9	.	.	PUNCT
bracis-28397	254	1	med	me	VERB
bracis-28397	254	2	.	.	PUNCT
bracis-28397	254	3	image	image	PROPN
bracis-28397	254	4	anal	anal	NOUN
bracis-28397	254	5	.	.	PUNCT
bracis-28397	255	1	75	75	NUM
bracis-28397	255	2	,	,	PUNCT
bracis-28397	255	3	102274	102274	NUM
bracis-28397	255	4	(	(	PUNCT
bracis-28397	255	5	2022	2022	NUM
bracis-28397	255	6	)	)	PUNCT
bracis-28397	255	7	article	article	NOUN
bracis-28397	255	8	  	  	SPACE
bracis-28397	255	9	google	google	PROPN
bracis-28397	255	10	scholar	scholar	NOUN
bracis-28397	255	11	  	  	SPACE
bracis-28397	255	12	swetha	swetha	NOUN
bracis-28397	255	13	,	,	PUNCT
bracis-28397	255	14	p.	p.	PROPN
bracis-28397	255	15	,	,	PUNCT
bracis-28397	255	16	srilatha	srilatha	PROPN
bracis-28397	255	17	,	,	PUNCT
bracis-28397	255	18	j.	j.	PROPN
bracis-28397	255	19	:	:	PUNCT
bracis-28397	255	20	applications	application	NOUN
bracis-28397	255	21	of	of	ADP
bracis-28397	255	22	speech	speech	NOUN
bracis-28397	255	23	recognition	recognition	NOUN
bracis-28397	255	24	in	in	ADP
bracis-28397	255	25	the	the	DET
bracis-28397	255	26	agriculture	agriculture	NOUN
bracis-28397	255	27	sector	sector	NOUN
bracis-28397	255	28	:	:	PUNCT
bracis-28397	255	29	a	a	DET
bracis-28397	255	30	review	review	NOUN
bracis-28397	255	31	.	.	PUNCT
bracis-28397	256	1	ecs	ecs	PROPN
bracis-28397	256	2	trans	trans	PROPN
bracis-28397	256	3	.	.	PUNCT
bracis-28397	257	1	107(1	107(1	NUM
bracis-28397	257	2	)	)	PUNCT
bracis-28397	257	3	,	,	PUNCT
bracis-28397	257	4	19377	19377	NUM
bracis-28397	257	5	(	(	PUNCT
bracis-28397	257	6	2022	2022	NUM
bracis-28397	257	7	)	)	PUNCT
bracis-28397	257	8	article	article	NOUN
bracis-28397	257	9	  	  	SPACE
bracis-28397	257	10	google	google	PROPN
bracis-28397	257	11	scholar	scholar	NOUN
bracis-28397	257	12	  	  	SPACE
bracis-28397	257	13	tschandl	tschandl	NOUN
bracis-28397	257	14	,	,	PUNCT
bracis-28397	257	15	p.	p.	PROPN
bracis-28397	257	16	,	,	PUNCT
bracis-28397	257	17	rosendahl	rosendahl	PROPN
bracis-28397	257	18	,	,	PUNCT
bracis-28397	257	19	c.	c.	NOUN
bracis-28397	257	20	,	,	PUNCT
bracis-28397	257	21	kittler	kittler	NOUN
bracis-28397	257	22	,	,	PUNCT
bracis-28397	257	23	h.	h.	PROPN
bracis-28397	257	24	:	:	PUNCT
bracis-28397	257	25	the	the	DET
bracis-28397	257	26	ham10000	ham10000	PROPN
bracis-28397	257	27	dataset	dataset	PROPN
bracis-28397	257	28	,	,	PUNCT
bracis-28397	257	29	a	a	DET
bracis-28397	257	30	large	large	ADJ
bracis-28397	257	31	collection	collection	NOUN
bracis-28397	257	32	of	of	ADP
bracis-28397	257	33	multi	multi	ADJ
bracis-28397	257	34	-	-	ADJ
bracis-28397	257	35	source	source	NOUN
bracis-28397	257	36	dermatoscopic	dermatoscopic	NOUN
bracis-28397	257	37	images	image	NOUN
bracis-28397	257	38	of	of	ADP
bracis-28397	257	39	common	common	ADJ
bracis-28397	257	40	pigmented	pigmented	ADJ
bracis-28397	257	41	skin	skin	NOUN
bracis-28397	257	42	lesions	lesion	NOUN
bracis-28397	257	43	.	.	PUNCT
bracis-28397	258	1	sci	sci	PROPN
bracis-28397	258	2	.	.	PROPN
bracis-28397	258	3	data	data	PROPN
bracis-28397	258	4	5(1	5(1	NUM
bracis-28397	258	5	)	)	PUNCT
bracis-28397	258	6	,	,	PUNCT
bracis-28397	258	7	1–9	1–9	NUM
bracis-28397	258	8	(	(	PUNCT
bracis-28397	258	9	2018	2018	NUM
bracis-28397	258	10	)	)	PUNCT
bracis-28397	258	11	article	article	NOUN
bracis-28397	258	12	  	  	SPACE
bracis-28397	258	13	google	google	PROPN
bracis-28397	258	14	scholar	scholar	NOUN
bracis-28397	258	15	  	  	SPACE
bracis-28397	258	16	uwimana	uwimana	ADJ
bracis-28397	258	17	,	,	PUNCT
bracis-28397	258	18	a.	a.	NOUN
bracis-28397	258	19	,	,	PUNCT
bracis-28397	258	20	senanayake	senanayake	NOUN
bracis-28397	258	21	,	,	PUNCT
bracis-28397	258	22	r.	r.	PROPN
bracis-28397	258	23	:	:	PUNCT
bracis-28397	258	24	out	out	ADP
bracis-28397	258	25	of	of	ADP
bracis-28397	258	26	distribution	distribution	NOUN
bracis-28397	258	27	detection	detection	NOUN
bracis-28397	258	28	and	and	CCONJ
bracis-28397	258	29	adversarial	adversarial	ADJ
bracis-28397	258	30	attacks	attack	NOUN
bracis-28397	258	31	on	on	ADP
bracis-28397	258	32	deep	deep	ADJ
bracis-28397	258	33	neural	neural	ADJ
bracis-28397	258	34	networks	network	NOUN
bracis-28397	258	35	for	for	ADP
bracis-28397	258	36	robust	robust	ADJ
bracis-28397	258	37	medical	medical	ADJ
bracis-28397	258	38	image	image	NOUN
bracis-28397	258	39	analysis	analysis	NOUN
bracis-28397	258	40	.	.	PUNCT
bracis-28397	259	1	arxiv	arxiv	PROPN
bracis-28397	259	2	preprint	preprint	PROPN
bracis-28397	259	3	arxiv:2107.04882	arxiv:2107.04882	PROPN
bracis-28397	259	4	(	(	PUNCT
bracis-28397	259	5	2021	2021	NUM
bracis-28397	259	6	)	)	PUNCT
bracis-28397	259	7	wightman	wightman	NOUN
bracis-28397	259	8	,	,	PUNCT
bracis-28397	259	9	r.	r.	PROPN
bracis-28397	259	10	,	,	PUNCT
bracis-28397	259	11	touvron	touvron	PROPN
bracis-28397	259	12	,	,	PUNCT
bracis-28397	259	13	h.	h.	PROPN
bracis-28397	259	14	,	,	PUNCT
bracis-28397	259	15	jégou	jégou	PROPN
bracis-28397	259	16	,	,	PUNCT
bracis-28397	259	17	h.	h.	PROPN
bracis-28397	259	18	:	:	PUNCT
bracis-28397	259	19	resnet	resnet	PROPN
bracis-28397	259	20	strikes	strike	NOUN
bracis-28397	259	21	back	back	ADV
bracis-28397	259	22	:	:	PUNCT
bracis-28397	259	23	an	an	DET
bracis-28397	259	24	improved	improved	ADJ
bracis-28397	259	25	training	training	NOUN
bracis-28397	259	26	procedure	procedure	NOUN
bracis-28397	259	27	in	in	ADP
bracis-28397	259	28	timm	timm	PROPN
bracis-28397	259	29	.	.	PUNCT
bracis-28397	260	1	arxiv	arxiv	PROPN
bracis-28397	260	2	preprint	preprint	NOUN
bracis-28397	260	3	arxiv:2110.00476	arxiv:2110.00476	ADV
bracis-28397	260	4	(	(	PUNCT
bracis-28397	260	5	2021	2021	NUM
bracis-28397	260	6	)	)	PUNCT
bracis-28397	260	7	wollek	wollek	ADJ
bracis-28397	260	8	,	,	PUNCT
bracis-28397	260	9	a.	a.	PROPN
bracis-28397	260	10	,	,	PUNCT
bracis-28397	260	11	willem	willem	PROPN
bracis-28397	260	12	,	,	PUNCT
bracis-28397	260	13	t.	t.	PROPN
bracis-28397	260	14	,	,	PUNCT
bracis-28397	260	15	ingrisch	ingrisch	PROPN
bracis-28397	260	16	,	,	PUNCT
bracis-28397	260	17	m.	m.	NOUN
bracis-28397	260	18	,	,	PUNCT
bracis-28397	260	19	sabel	sabel	PROPN
bracis-28397	260	20	,	,	PUNCT
bracis-28397	260	21	b.	b.	PROPN
bracis-28397	260	22	,	,	PUNCT
bracis-28397	260	23	lasser	lasser	PROPN
bracis-28397	260	24	,	,	PUNCT
bracis-28397	260	25	t.	t.	PROPN
bracis-28397	260	26	:	:	PUNCT
bracis-28397	260	27	a	a	DET
bracis-28397	260	28	knee	knee	NOUN
bracis-28397	260	29	can	can	AUX
bracis-28397	260	30	not	not	PART
bracis-28397	260	31	have	have	VERB
bracis-28397	260	32	lung	lung	NOUN
bracis-28397	260	33	disease	disease	NOUN
bracis-28397	260	34	:	:	PUNCT
bracis-28397	260	35	out	out	ADP
bracis-28397	260	36	-	-	PUNCT
bracis-28397	260	37	of	of	ADP
bracis-28397	260	38	-	-	PUNCT
bracis-28397	260	39	distribution	distribution	NOUN
bracis-28397	260	40	detection	detection	NOUN
bracis-28397	260	41	with	with	ADP
bracis-28397	260	42	in	in	ADP
bracis-28397	260	43	-	-	PUNCT
bracis-28397	260	44	distribution	distribution	NOUN
bracis-28397	260	45	voting	voting	NOUN
bracis-28397	260	46	using	use	VERB
bracis-28397	260	47	the	the	DET
bracis-28397	260	48	medical	medical	ADJ
bracis-28397	260	49	example	example	NOUN
bracis-28397	260	50	of	of	ADP
bracis-28397	260	51	chest	chest	NOUN
bracis-28397	260	52	x	x	NOUN
bracis-28397	260	53	-	-	NOUN
bracis-28397	260	54	ray	ray	NOUN
bracis-28397	260	55	classification	classification	NOUN
bracis-28397	260	56	.	.	PUNCT
bracis-28397	261	1	arxiv	arxiv	PROPN
bracis-28397	261	2	preprint	preprint	VERB
bracis-28397	261	3	arxiv:2208.01077	arxiv:2208.01077	NUM
bracis-28397	261	4	(	(	PUNCT
bracis-28397	261	5	2022	2022	NUM
bracis-28397	261	6	)	)	PUNCT
bracis-28397	261	7	wright	wright	PROPN
bracis-28397	261	8	,	,	PUNCT
bracis-28397	261	9	j.	j.	PROPN
bracis-28397	261	10	,	,	PUNCT
bracis-28397	261	11	ma	ma	PROPN
bracis-28397	261	12	,	,	PUNCT
bracis-28397	261	13	y.	y.	NOUN
bracis-28397	261	14	:	:	PUNCT
bracis-28397	261	15	high	high	ADJ
bracis-28397	261	16	-	-	PUNCT
bracis-28397	261	17	dimensional	dimensional	ADJ
bracis-28397	261	18	data	datum	NOUN
bracis-28397	261	19	analysis	analysis	NOUN
bracis-28397	261	20	with	with	ADP
bracis-28397	261	21	low	low	ADJ
bracis-28397	261	22	-	-	PUNCT
bracis-28397	261	23	dimensional	dimensional	ADJ
bracis-28397	261	24	models	model	NOUN
bracis-28397	261	25	:	:	PUNCT
bracis-28397	261	26	principles	principle	NOUN
bracis-28397	261	27	,	,	PUNCT
bracis-28397	261	28	computation	computation	NOUN
bracis-28397	261	29	,	,	PUNCT
bracis-28397	261	30	and	and	CCONJ
bracis-28397	261	31	applications	application	NOUN
bracis-28397	261	32	.	.	PUNCT
bracis-28397	262	1	cambridge	cambridge	PROPN
bracis-28397	262	2	university	university	PROPN
bracis-28397	262	3	press	press	NOUN
bracis-28397	262	4	(	(	PUNCT
bracis-28397	262	5	2022	2022	NUM
bracis-28397	262	6	)	)	PUNCT
bracis-28397	262	7	google	google	PROPN
bracis-28397	262	8	scholar	scholar	NOUN
bracis-28397	262	9	  	  	SPACE
bracis-28397	262	10	wu	wu	PROPN
bracis-28397	262	11	,	,	PUNCT
bracis-28397	262	12	y.	y.	PROPN
bracis-28397	262	13	,	,	PUNCT
bracis-28397	262	14	et	et	PROPN
bracis-28397	262	15	al	al	PROPN
bracis-28397	262	16	.	.	PUNCT
bracis-28397	262	17	:	:	PUNCT
bracis-28397	263	1	revisit	revisit	VERB
bracis-28397	263	2	overconfidence	overconfidence	NOUN
bracis-28397	263	3	for	for	ADP
bracis-28397	263	4	ood	ood	PROPN
bracis-28397	263	5	detection	detection	PROPN
bracis-28397	263	6	:	:	PUNCT
bracis-28397	263	7	reassigned	reassign	VERB
bracis-28397	263	8	contrastive	contrastive	ADJ
bracis-28397	263	9	learning	learning	NOUN
bracis-28397	263	10	with	with	ADP
bracis-28397	263	11	adaptive	adaptive	ADJ
bracis-28397	263	12	class	class	NOUN
bracis-28397	263	13	-	-	PUNCT
bracis-28397	263	14	dependent	dependent	ADJ
bracis-28397	263	15	threshold	threshold	NOUN
bracis-28397	263	16	.	.	PUNCT
bracis-28397	264	1	in	in	ADP
bracis-28397	264	2	:	:	PUNCT
bracis-28397	264	3	proceedings	proceeding	NOUN
bracis-28397	264	4	of	of	ADP
bracis-28397	264	5	the	the	DET
bracis-28397	264	6	2022	2022	NUM
bracis-28397	264	7	conference	conference	NOUN
bracis-28397	264	8	of	of	ADP
bracis-28397	264	9	the	the	DET
bracis-28397	264	10	north	north	ADJ
bracis-28397	264	11	american	american	ADJ
bracis-28397	264	12	chapter	chapter	NOUN
bracis-28397	264	13	of	of	ADP
bracis-28397	264	14	the	the	DET
bracis-28397	264	15	association	association	NOUN
bracis-28397	264	16	for	for	ADP
bracis-28397	264	17	computational	computational	ADJ
bracis-28397	264	18	linguistics	linguistic	NOUN
bracis-28397	264	19	:	:	PUNCT
bracis-28397	264	20	human	human	ADJ
bracis-28397	264	21	language	language	NOUN
bracis-28397	264	22	technologies	technology	NOUN
bracis-28397	264	23	,	,	PUNCT
bracis-28397	264	24	pp	pp	X
bracis-28397	264	25	.	.	PUNCT
bracis-28397	264	26	4165–4179	4165–4179	NUM
bracis-28397	264	27	(	(	PUNCT
bracis-28397	264	28	2022	2022	NUM
bracis-28397	264	29	)	)	PUNCT
bracis-28397	264	30	google	google	PROPN
bracis-28397	264	31	scholar	scholar	NOUN
bracis-28397	264	32	  	  	SPACE
bracis-28397	264	33	wu	wu	PROPN
bracis-28397	264	34	,	,	PUNCT
bracis-28397	264	35	y.	y.	PROPN
bracis-28397	264	36	,	,	PUNCT
bracis-28397	264	37	et	et	PROPN
bracis-28397	264	38	al	al	PROPN
bracis-28397	264	39	.	.	PROPN
bracis-28397	264	40	:	:	PUNCT
bracis-28397	265	1	disentangling	disentangle	VERB
bracis-28397	265	2	confidence	confidence	NOUN
bracis-28397	265	3	score	score	NOUN
bracis-28397	265	4	distribution	distribution	NOUN
bracis-28397	265	5	for	for	ADP
bracis-28397	265	6	out	out	ADV
bracis-28397	265	7	-	-	PUNCT
bracis-28397	265	8	of	of	ADP
bracis-28397	265	9	-	-	PUNCT
bracis-28397	265	10	domain	domain	NOUN
bracis-28397	265	11	intent	intent	NOUN
bracis-28397	265	12	detection	detection	NOUN
bracis-28397	265	13	with	with	ADP
bracis-28397	265	14	energy	energy	NOUN
bracis-28397	265	15	-	-	PUNCT
bracis-28397	265	16	based	base	VERB
bracis-28397	265	17	learning	learning	NOUN
bracis-28397	265	18	.	.	PUNCT
bracis-28397	266	1	arxiv	arxiv	PROPN
bracis-28397	266	2	preprint	preprint	NOUN
bracis-28397	266	3	arxiv:2210.08830	arxiv:2210.08830	NOUN
bracis-28397	266	4	(	(	PUNCT
bracis-28397	266	5	2022	2022	NUM
bracis-28397	266	6	)	)	PUNCT
bracis-28397	266	7	yang	yang	PROPN
bracis-28397	266	8	,	,	PUNCT
bracis-28397	266	9	j.	j.	PROPN
bracis-28397	266	10	,	,	PUNCT
bracis-28397	266	11	zhou	zhou	PROPN
bracis-28397	266	12	,	,	PUNCT
bracis-28397	266	13	k.	k.	PROPN
bracis-28397	266	14	,	,	PUNCT
bracis-28397	266	15	li	li	PROPN
bracis-28397	266	16	,	,	PUNCT
bracis-28397	266	17	y.	y.	PROPN
bracis-28397	266	18	,	,	PUNCT
bracis-28397	266	19	liu	liu	PROPN
bracis-28397	266	20	,	,	PUNCT
bracis-28397	266	21	z.	z.	PROPN
bracis-28397	266	22	:	:	PUNCT
bracis-28397	266	23	generalized	generalize	VERB
bracis-28397	266	24	out	out	ADP
bracis-28397	266	25	-	-	PUNCT
bracis-28397	266	26	of	of	ADP
bracis-28397	266	27	-	-	PUNCT
bracis-28397	266	28	distribution	distribution	NOUN
bracis-28397	266	29	detection	detection	NOUN
bracis-28397	266	30	:	:	PUNCT
bracis-28397	266	31	a	a	DET
bracis-28397	266	32	survey	survey	NOUN
bracis-28397	266	33	.	.	PUNCT
bracis-28397	267	1	arxiv	arxiv	PROPN
bracis-28397	267	2	preprint	preprint	NOUN
bracis-28397	267	3	arxiv:2110.11334	arxiv:2110.11334	NUM
bracis-28397	267	4	(	(	PUNCT
bracis-28397	267	5	2021	2021	NUM
bracis-28397	267	6	)	)	PUNCT
bracis-28397	268	1	ye	ye	PROPN
bracis-28397	268	2	,	,	PUNCT
bracis-28397	268	3	n.	n.	NOUN
bracis-28397	268	4	,	,	PUNCT
bracis-28397	268	5	et	et	PROPN
bracis-28397	268	6	al	al	PROPN
bracis-28397	268	7	.	.	PROPN
bracis-28397	268	8	:	:	PUNCT
bracis-28397	269	1	ood	ood	PROPN
bracis-28397	269	2	-	-	PUNCT
bracis-28397	269	3	bench	bench	NOUN
bracis-28397	269	4	:	:	PUNCT
bracis-28397	269	5	quantifying	quantify	VERB
bracis-28397	269	6	and	and	CCONJ
bracis-28397	269	7	understanding	understand	VERB
bracis-28397	269	8	two	two	NUM
bracis-28397	269	9	dimensions	dimension	NOUN
bracis-28397	269	10	of	of	ADP
bracis-28397	269	11	out	out	ADV
bracis-28397	269	12	-	-	PUNCT
bracis-28397	269	13	of	of	ADP
bracis-28397	269	14	-	-	PUNCT
bracis-28397	269	15	distribution	distribution	NOUN
bracis-28397	269	16	generalization	generalization	NOUN
bracis-28397	269	17	.	.	PUNCT
bracis-28397	270	1	in	in	ADP
bracis-28397	270	2	:	:	PUNCT
bracis-28397	270	3	proceedings	proceeding	NOUN
bracis-28397	270	4	of	of	ADP
bracis-28397	270	5	the	the	DET
bracis-28397	270	6	ieee	ieee	NOUN
bracis-28397	270	7	/	/	SYM
bracis-28397	270	8	cvf	cvf	NOUN
bracis-28397	270	9	conference	conference	NOUN
bracis-28397	270	10	on	on	ADP
bracis-28397	270	11	computer	computer	NOUN
bracis-28397	270	12	vision	vision	NOUN
bracis-28397	270	13	and	and	CCONJ
bracis-28397	270	14	pattern	pattern	NOUN
bracis-28397	270	15	recognition	recognition	NOUN
bracis-28397	270	16	,	,	PUNCT
bracis-28397	270	17	pp	pp	X
bracis-28397	270	18	.	.	PUNCT
bracis-28397	271	1	7947–7958	7947–7958	NUM
bracis-28397	271	2	(	(	PUNCT
bracis-28397	271	3	2022	2022	NUM
bracis-28397	271	4	)	)	PUNCT
bracis-28397	271	5	google	google	PROPN
bracis-28397	271	6	scholar	scholar	NOUN
bracis-28397	271	7	  	  	SPACE
bracis-28397	271	8	zadorozhny	zadorozhny	PROPN
bracis-28397	271	9	,	,	PUNCT
bracis-28397	271	10	k.	k.	PROPN
bracis-28397	271	11	,	,	PUNCT
bracis-28397	271	12	thoral	thoral	ADJ
bracis-28397	271	13	,	,	PUNCT
bracis-28397	271	14	p.	p.	NOUN
bracis-28397	271	15	,	,	PUNCT
bracis-28397	271	16	elbers	elber	NOUN
bracis-28397	271	17	,	,	PUNCT
bracis-28397	271	18	p.	p.	NOUN
bracis-28397	271	19	,	,	PUNCT
bracis-28397	271	20	ciná	ciná	PROPN
bracis-28397	271	21	,	,	PUNCT
bracis-28397	271	22	g.	g.	PROPN
bracis-28397	271	23	:	:	PUNCT
bracis-28397	271	24	out	out	ADP
bracis-28397	271	25	-	-	PUNCT
bracis-28397	271	26	of	of	ADP
bracis-28397	271	27	-	-	PUNCT
bracis-28397	271	28	distribution	distribution	NOUN
bracis-28397	271	29	detection	detection	NOUN
bracis-28397	271	30	for	for	ADP
bracis-28397	271	31	medical	medical	ADJ
bracis-28397	271	32	applications	application	NOUN
bracis-28397	271	33	:	:	PUNCT
bracis-28397	271	34	guidelines	guideline	NOUN
bracis-28397	271	35	for	for	ADP
bracis-28397	271	36	practical	practical	ADJ
bracis-28397	271	37	evaluation	evaluation	NOUN
bracis-28397	271	38	.	.	PUNCT
bracis-28397	272	1	in	in	ADP
bracis-28397	272	2	:	:	PUNCT
bracis-28397	272	3	shaban	shaban	PROPN
bracis-28397	272	4	-	-	PUNCT
bracis-28397	272	5	nejad	nejad	PROPN
bracis-28397	272	6	,	,	PUNCT
bracis-28397	272	7	a.	a.	PROPN
bracis-28397	272	8	,	,	PUNCT
bracis-28397	272	9	michalowski	michalowski	NOUN
bracis-28397	272	10	,	,	PUNCT
bracis-28397	272	11	m.	m.	NOUN
bracis-28397	272	12	,	,	PUNCT
bracis-28397	272	13	bianco	bianco	PROPN
bracis-28397	272	14	,	,	PUNCT
bracis-28397	272	15	s.	s.	PROPN
bracis-28397	272	16	(	(	PUNCT
bracis-28397	272	17	eds	eds	PROPN
bracis-28397	272	18	.	.	PUNCT
bracis-28397	272	19	)	)	PUNCT
bracis-28397	272	20	multimodal	multimodal	NOUN
bracis-28397	272	21	ai	ai	VERB
bracis-28397	272	22	in	in	ADP
bracis-28397	272	23	healthcare	healthcare	NOUN
bracis-28397	272	24	.	.	PUNCT
bracis-28397	273	1	studies	study	NOUN
bracis-28397	273	2	in	in	ADP
bracis-28397	273	3	computational	computational	ADJ
bracis-28397	273	4	intelligence	intelligence	NOUN
bracis-28397	273	5	,	,	PUNCT
bracis-28397	273	6	vol	vol	NOUN
bracis-28397	273	7	.	.	PROPN
bracis-28397	273	8	1060	1060	NUM
bracis-28397	273	9	,	,	PUNCT
bracis-28397	273	10	pp	pp	ADJ
bracis-28397	273	11	.	.	PUNCT
bracis-28397	274	1	137–153	137–153	NUM
bracis-28397	274	2	.	.	PUNCT
bracis-28397	274	3	springer	springer	NOUN
bracis-28397	274	4	,	,	PUNCT
bracis-28397	274	5	cham	cham	PROPN
bracis-28397	274	6	(	(	PUNCT
bracis-28397	274	7	2022	2022	NUM
bracis-28397	274	8	)	)	PUNCT
bracis-28397	274	9	.	.	PUNCT
bracis-28397	275	1	https://doi.org/10.1007/978-3-031-14771-5_10	https://doi.org/10.1007/978-3-031-14771-5_10	PUNCT
bracis-28397	275	2	zhang	zhang	PROPN
bracis-28397	275	3	,	,	PUNCT
bracis-28397	275	4	o.	o.	PROPN
bracis-28397	275	5	,	,	PUNCT
bracis-28397	275	6	delbrouck	delbrouck	NOUN
bracis-28397	275	7	,	,	PUNCT
bracis-28397	275	8	j.-b	j.-b	PROPN
bracis-28397	275	9	.	.	PROPN
bracis-28397	275	10	,	,	PUNCT
bracis-28397	275	11	rubin	rubin	PROPN
bracis-28397	275	12	,	,	PUNCT
bracis-28397	275	13	d.l	d.l	PROPN
bracis-28397	275	14	.	.	PROPN
bracis-28397	275	15	:	:	PUNCT
bracis-28397	275	16	out	out	ADP
bracis-28397	275	17	of	of	ADP
bracis-28397	275	18	distribution	distribution	NOUN
bracis-28397	275	19	detection	detection	NOUN
bracis-28397	275	20	for	for	ADP
bracis-28397	275	21	medical	medical	ADJ
bracis-28397	275	22	images	image	NOUN
bracis-28397	275	23	.	.	PUNCT
bracis-28397	276	1	in	in	ADP
bracis-28397	276	2	:	:	PUNCT
bracis-28397	276	3	sudre	sudre	PROPN
bracis-28397	276	4	,	,	PUNCT
bracis-28397	276	5	c.h	c.h	PROPN
bracis-28397	276	6	.	.	PROPN
bracis-28397	276	7	,	,	PUNCT
bracis-28397	276	8	et	et	PROPN
bracis-28397	276	9	al	al	PROPN
bracis-28397	276	10	.	.	PUNCT
bracis-28397	276	11	(	(	PUNCT
bracis-28397	276	12	eds	ed	NOUN
bracis-28397	276	13	.	.	PUNCT
bracis-28397	276	14	)	)	PUNCT
bracis-28397	276	15	unsure	unsure	ADJ
bracis-28397	276	16	/	/	SYM
bracis-28397	276	17	pippi	pippi	NOUN
bracis-28397	276	18	-2021	-2021	NOUN
bracis-28397	276	19	.	.	PUNCT
bracis-28397	277	1	lncs	lncs	PROPN
bracis-28397	277	2	,	,	PUNCT
bracis-28397	277	3	vol	vol	NOUN
bracis-28397	277	4	.	.	PROPN
bracis-28397	277	5	12959	12959	NUM
bracis-28397	277	6	,	,	PUNCT
bracis-28397	277	7	pp	pp	ADJ
bracis-28397	277	8	.	.	PUNCT
bracis-28397	278	1	102–111	102–111	NUM
bracis-28397	278	2	.	.	PUNCT
bracis-28397	278	3	springer	springer	NOUN
bracis-28397	278	4	,	,	PUNCT
bracis-28397	278	5	cham	cham	PROPN
bracis-28397	278	6	(	(	PUNCT
bracis-28397	278	7	2021	2021	NUM
bracis-28397	278	8	)	)	PUNCT
bracis-28397	278	9	.	.	PUNCT
bracis-28397	279	1	https://doi.org/10.1007/978-3-030-87735-4_10	https://doi.org/10.1007/978-3-030-87735-4_10	PROPN
bracis-28397	279	2	chapter	chapter	NOUN
bracis-28397	279	3	  	  	SPACE
bracis-28397	279	4	google	google	PROPN
bracis-28397	279	5	scholar	scholar	NOUN
bracis-28397	279	6	  	  	SPACE
bracis-28397	279	7	zimmerman	zimmerman	PROPN
bracis-28397	279	8	,	,	PUNCT
bracis-28397	279	9	d.w	d.w	PROPN
bracis-28397	279	10	.	.	PROPN
bracis-28397	279	11	,	,	PUNCT
bracis-28397	279	12	zumbo	zumbo	PROPN
bracis-28397	279	13	,	,	PUNCT
bracis-28397	279	14	b.d	b.d	PROPN
bracis-28397	279	15	.	.	PROPN
bracis-28397	279	16	:	:	PUNCT
bracis-28397	279	17	rank	rank	NOUN
bracis-28397	279	18	transformations	transformation	NOUN
bracis-28397	279	19	and	and	CCONJ
bracis-28397	279	20	the	the	DET
bracis-28397	279	21	power	power	NOUN
bracis-28397	279	22	of	of	ADP
bracis-28397	279	23	the	the	DET
bracis-28397	279	24	student	student	NOUN
bracis-28397	279	25	t	t	PROPN
bracis-28397	279	26	test	test	NOUN
bracis-28397	279	27	and	and	CCONJ
bracis-28397	279	28	welch	welch	PROPN
bracis-28397	279	29	t’test	t’test	PROPN
bracis-28397	279	30	for	for	ADP
bracis-28397	279	31	non	non	ADJ
bracis-28397	279	32	-	-	ADJ
bracis-28397	279	33	normal	normal	ADJ
bracis-28397	279	34	populations	population	NOUN
bracis-28397	279	35	with	with	ADP
bracis-28397	279	36	unequal	unequal	ADJ
bracis-28397	279	37	variances	variance	NOUN
bracis-28397	279	38	.	.	PUNCT
bracis-28397	280	1	can	can	AUX
bracis-28397	280	2	.	.	PUNCT
bracis-28397	281	1	j.	j.	PROPN
bracis-28397	281	2	exp	exp	PROPN
bracis-28397	281	3	.	.	PUNCT
bracis-28397	282	1	psychol	psychol	PROPN
bracis-28397	282	2	.	.	PUNCT
bracis-28397	282	3	47(3	47(3	NOUN
bracis-28397	282	4	)	)	PUNCT
bracis-28397	282	5	,	,	PUNCT
bracis-28397	282	6	523	523	NUM
bracis-28397	282	7	(	(	PUNCT
bracis-28397	282	8	1993	1993	NUM
bracis-28397	282	9	)	)	PUNCT
bracis-28397	282	10	article	article	NOUN
bracis-28397	282	11	  	  	SPACE
bracis-28397	282	12	google	google	PROPN
bracis-28397	282	13	scholar	scholar	NOUN
bracis-28397	282	14	  	  	SPACE
bracis-28397	282	15	download	download	NOUN
bracis-28397	282	16	references	reference	NOUN
bracis-28397	282	17	acknowledgements	acknowledgement	NOUN
bracis-28397	282	18	this	this	DET
bracis-28397	282	19	work	work	NOUN
bracis-28397	282	20	was	be	AUX
bracis-28397	282	21	supported	support	VERB
bracis-28397	282	22	in	in	ADP
bracis-28397	282	23	part	part	NOUN
bracis-28397	282	24	by	by	ADP
bracis-28397	282	25	the	the	DET
bracis-28397	282	26	coordenação	coordenação	PROPN
bracis-28397	282	27	de	de	PROPN
bracis-28397	282	28	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-28397	282	29	de	de	X
bracis-28397	282	30	pessoal	pessoal	PROPN
bracis-28397	282	31	de	de	PROPN
bracis-28397	282	32	nível	nível	PROPN
bracis-28397	282	33	superior	superior	PROPN
bracis-28397	282	34	brasil	brasil	PROPN
bracis-28397	282	35	(	(	PUNCT
bracis-28397	282	36	capes	cape	NOUN
bracis-28397	282	37	)	)	PUNCT
bracis-28397	282	38	finance	finance	NOUN
bracis-28397	282	39	code	code	NOUN
bracis-28397	282	40	001	001	NOUN
bracis-28397	282	41	,	,	PUNCT
bracis-28397	282	42	conselho	conselho	NOUN
bracis-28397	282	43	nacional	nacional	PROPN
bracis-28397	282	44	de	de	X
bracis-28397	282	45	desenvolvimento	desenvolvimento	PROPN
bracis-28397	282	46	e	e	PROPN
bracis-28397	282	47	pesquisa	pesquisa	PROPN
bracis-28397	282	48	(	(	PUNCT
bracis-28397	282	49	cnpq	cnpq	NOUN
bracis-28397	282	50	)	)	PUNCT
bracis-28397	282	51	under	under	ADP
bracis-28397	282	52	grants	grant	NOUN
bracis-28397	282	53	140254/2021	140254/2021	NUM
bracis-28397	282	54	-	-	SYM
bracis-28397	282	55	8	8	NUM
bracis-28397	282	56	and	and	CCONJ
bracis-28397	282	57	308717/2020	308717/2020	NUM
bracis-28397	282	58	-	-	SYM
bracis-28397	282	59	1	1	NUM
bracis-28397	282	60	,	,	PUNCT
bracis-28397	282	61	and	and	CCONJ
bracis-28397	282	62	fundação	fundação	PROPN
bracis-28397	282	63	de	de	X
bracis-28397	282	64	amparo	amparo	PROPN
bracis-28397	282	65	à	à	X
bracis-28397	282	66	pesquisa	pesquisa	PROPN
bracis-28397	282	67	do	do	AUX
bracis-28397	282	68	rio	rio	PROPN
bracis-28397	282	69	de	de	PROPN
bracis-28397	282	70	janeiro	janeiro	PROPN
bracis-28397	282	71	(	(	PUNCT
bracis-28397	282	72	faperj	faperj	PROPN
bracis-28397	282	73	)	)	PUNCT
bracis-28397	282	74	author	author	NOUN
bracis-28397	282	75	information	information	NOUN
bracis-28397	282	76	authors	author	NOUN
bracis-28397	282	77	and	and	CCONJ
bracis-28397	282	78	affiliations	affiliation	NOUN
bracis-28397	282	79	pontifical	pontifical	ADJ
bracis-28397	282	80	catholic	catholic	PROPN
bracis-28397	282	81	university	university	PROPN
bracis-28397	282	82	of	of	ADP
bracis-28397	282	83	rio	rio	PROPN
bracis-28397	282	84	de	de	PROPN
bracis-28397	282	85	janeiro	janeiro	PROPN
bracis-28397	282	86	,	,	PUNCT
bracis-28397	282	87	rio	rio	PROPN
bracis-28397	282	88	de	de	PROPN
bracis-28397	282	89	janeiro	janeiro	PROPN
bracis-28397	282	90	,	,	PUNCT
bracis-28397	282	91	brazil	brazil	PROPN
bracis-28397	282	92	thiago	thiago	PROPN
bracis-28397	282	93	carvalho	carvalho	PROPN
bracis-28397	282	94	 	 	SPACE
bracis-28397	282	95	&	&	CCONJ
bracis-28397	282	96	 	 	SPACE
bracis-28397	282	97	marley	marley	PROPN
bracis-28397	282	98	vellasco	vellasco	PROPN
bracis-28397	282	99	rio	rio	PROPN
bracis-28397	282	100	de	de	PROPN
bracis-28397	282	101	janeiro	janeiro	PROPN
bracis-28397	282	102	state	state	PROPN
bracis-28397	282	103	university	university	PROPN
bracis-28397	282	104	,	,	PUNCT
bracis-28397	282	105	rio	rio	PROPN
bracis-28397	282	106	de	de	PROPN
bracis-28397	282	107	janeiro	janeiro	PROPN
bracis-28397	282	108	,	,	PUNCT
bracis-28397	282	109	brazil	brazil	PROPN
bracis-28397	282	110	josé	josé	PROPN
bracis-28397	282	111	franco	franco	PROPN
bracis-28397	282	112	amaral	amaral	PROPN
bracis-28397	282	113	 	 	SPACE
bracis-28397	282	114	&	&	CCONJ
bracis-28397	282	115	 	 	SPACE
bracis-28397	282	116	karla	karla	PROPN
bracis-28397	282	117	figueiredo	figueiredo	PROPN
bracis-28397	282	118	authors	author	NOUN
bracis-28397	282	119	thiago	thiago	PROPN
bracis-28397	282	120	carvalhoview	carvalhoview	PROPN
bracis-28397	282	121	author	author	NOUN
bracis-28397	282	122	publications	publication	NOUN
bracis-28397	282	123	search	search	NOUN
bracis-28397	282	124	author	author	NOUN
bracis-28397	282	125	on	on	ADP
bracis-28397	282	126	:	:	PUNCT
bracis-28397	282	127	pubmed	pubmed	PROPN
bracis-28397	282	128	 	 	SPACE
bracis-28397	282	129	google	google	PROPN
bracis-28397	282	130	scholar	scholar	NOUN
bracis-28397	282	131	marley	marley	NOUN
bracis-28397	282	132	vellascoview	vellascoview	VERB
bracis-28397	282	133	author	author	NOUN
bracis-28397	282	134	publications	publication	NOUN
bracis-28397	282	135	search	search	NOUN
bracis-28397	282	136	author	author	NOUN
bracis-28397	282	137	on	on	ADP
bracis-28397	282	138	:	:	PUNCT
bracis-28397	282	139	pubmed	pubmed	PROPN
bracis-28397	282	140	 	 	SPACE
bracis-28397	282	141	google	google	PROPN
bracis-28397	282	142	scholar	scholar	PROPN
bracis-28397	282	143	josé	josé	PROPN
bracis-28397	282	144	franco	franco	PROPN
bracis-28397	282	145	amaralview	amaralview	PROPN
bracis-28397	282	146	author	author	NOUN
bracis-28397	282	147	publications	publication	NOUN
bracis-28397	282	148	search	search	NOUN
bracis-28397	282	149	author	author	NOUN
bracis-28397	282	150	on	on	ADP
bracis-28397	282	151	:	:	PUNCT
bracis-28397	282	152	pubmed	pubmed	PROPN
bracis-28397	282	153	 	 	SPACE
bracis-28397	282	154	google	google	PROPN
bracis-28397	282	155	scholar	scholar	NOUN
bracis-28397	282	156	karla	karla	PROPN
bracis-28397	282	157	figueiredoview	figueiredoview	PROPN
bracis-28397	282	158	author	author	NOUN
bracis-28397	282	159	publications	publication	VERB
bracis-28397	282	160	search	search	NOUN
bracis-28397	282	161	author	author	NOUN
bracis-28397	282	162	on	on	ADP
bracis-28397	282	163	:	:	PUNCT
bracis-28397	282	164	pubmed	pubmed	PROPN
bracis-28397	282	165	 	 	SPACE
bracis-28397	282	166	google	google	PROPN
bracis-28397	282	167	scholar	scholar	NOUN
bracis-28397	282	168	corresponding	correspond	VERB
bracis-28397	282	169	author	author	NOUN
bracis-28397	282	170	correspondence	correspondence	NOUN
bracis-28397	282	171	to	to	ADP
bracis-28397	282	172	thiago	thiago	PROPN
bracis-28397	282	173	carvalho	carvalho	PROPN
bracis-28397	282	174	.	.	PUNCT
bracis-28397	283	1	editor	editor	NOUN
bracis-28397	283	2	information	information	NOUN
bracis-28397	283	3	editors	editor	NOUN
bracis-28397	283	4	and	and	CCONJ
bracis-28397	283	5	affiliations	affiliation	NOUN
bracis-28397	283	6	federal	federal	PROPN
bracis-28397	283	7	university	university	PROPN
bracis-28397	283	8	of	of	ADP
bracis-28397	283	9	são	são	PROPN
bracis-28397	283	10	carlos	carlos	PROPN
bracis-28397	283	11	,	,	PUNCT
bracis-28397	283	12	são	são	PROPN
bracis-28397	283	13	carlos	carlos	PROPN
bracis-28397	283	14	,	,	PUNCT
bracis-28397	283	15	brazil	brazil	PROPN
bracis-28397	283	16	murilo	murilo	PROPN
bracis-28397	283	17	c.	c.	PROPN
bracis-28397	283	18	naldi	naldi	PROPN
bracis-28397	283	19	centro	centro	PROPN
bracis-28397	283	20	universitario	universitario	PROPN
bracis-28397	283	21	da	da	PROPN
bracis-28397	283	22	fei	fei	PROPN
bracis-28397	283	23	,	,	PUNCT
bracis-28397	283	24	são	são	PROPN
bracis-28397	283	25	bernardo	bernardo	PROPN
bracis-28397	283	26	do	do	AUX
bracis-28397	283	27	campo	campo	PROPN
bracis-28397	283	28	,	,	PUNCT
bracis-28397	283	29	brazil	brazil	PROPN
bracis-28397	283	30	reinaldo	reinaldo	PROPN
bracis-28397	283	31	a.	a.	PROPN
bracis-28397	283	32	c.	c.	PROPN
bracis-28397	283	33	bianchi	bianchi	PROPN
bracis-28397	283	34	rights	right	NOUN
bracis-28397	283	35	and	and	CCONJ
bracis-28397	283	36	permissions	permission	NOUN
bracis-28397	283	37	reprints	reprint	NOUN
bracis-28397	283	38	and	and	CCONJ
bracis-28397	283	39	permissions	permission	VERB
bracis-28397	283	40	copyright	copyright	NOUN
bracis-28397	283	41	information	information	NOUN
bracis-28397	283	42	©	©	ADP
bracis-28397	283	43	2023	2023	NUM
bracis-28397	283	44	the	the	DET
bracis-28397	283	45	author(s	author(s	NOUN
bracis-28397	283	46	)	)	PUNCT
bracis-28397	283	47	,	,	PUNCT
bracis-28397	283	48	under	under	ADP
bracis-28397	283	49	exclusive	exclusive	ADJ
bracis-28397	283	50	license	license	NOUN
bracis-28397	283	51	to	to	ADP
bracis-28397	283	52	springer	springer	NOUN
bracis-28397	283	53	nature	nature	PROPN
bracis-28397	283	54	switzerland	switzerland	PROPN
bracis-28397	283	55	ag	ag	PROPN
bracis-28397	283	56	about	about	ADP
bracis-28397	283	57	this	this	DET
bracis-28397	283	58	paper	paper	NOUN
bracis-28397	283	59	cite	cite	VERB
bracis-28397	283	60	this	this	DET
bracis-28397	283	61	paper	paper	NOUN
bracis-28397	283	62	carvalho	carvalho	NOUN
bracis-28397	283	63	,	,	PUNCT
bracis-28397	283	64	t.	t.	PROPN
bracis-28397	283	65	,	,	PUNCT
bracis-28397	283	66	vellasco	vellasco	PROPN
bracis-28397	283	67	,	,	PUNCT
bracis-28397	283	68	m.	m.	NOUN
bracis-28397	283	69	,	,	PUNCT
bracis-28397	283	70	amaral	amaral	PROPN
bracis-28397	283	71	,	,	PUNCT
bracis-28397	283	72	j.f	j.f	PROPN
bracis-28397	283	73	.	.	PROPN
bracis-28397	283	74	,	,	PUNCT
bracis-28397	283	75	figueiredo	figueiredo	PROPN
bracis-28397	283	76	,	,	PUNCT
bracis-28397	283	77	k.	k.	PROPN
bracis-28397	283	78	(	(	PUNCT
bracis-28397	283	79	2023	2023	NUM
bracis-28397	283	80	)	)	PUNCT
bracis-28397	283	81	.	.	PUNCT
bracis-28397	284	1	a	a	DET
bracis-28397	284	2	feature	feature	NOUN
bracis-28397	284	3	-	-	PUNCT
bracis-28397	284	4	based	base	VERB
bracis-28397	284	5	out	out	ADP
bracis-28397	284	6	-	-	PUNCT
bracis-28397	284	7	of	of	ADP
bracis-28397	284	8	-	-	PUNCT
bracis-28397	284	9	distribution	distribution	NOUN
bracis-28397	284	10	detection	detection	NOUN
bracis-28397	284	11	approach	approach	NOUN
bracis-28397	284	12	in	in	ADP
bracis-28397	284	13	 	 	SPACE
bracis-28397	284	14	skin	skin	NOUN
bracis-28397	284	15	lesion	lesion	NOUN
bracis-28397	284	16	classification	classification	NOUN
bracis-28397	284	17	.	.	PUNCT
bracis-28397	285	1	in	in	ADP
bracis-28397	285	2	:	:	PUNCT
bracis-28397	285	3	naldi	naldi	PROPN
bracis-28397	285	4	,	,	PUNCT
bracis-28397	285	5	m.c	m.c	PROPN
bracis-28397	285	6	.	.	PROPN
bracis-28397	285	7	,	,	PUNCT
bracis-28397	285	8	bianchi	bianchi	PROPN
bracis-28397	285	9	,	,	PUNCT
bracis-28397	285	10	r.a.c	r.a.c	ADP
bracis-28397	285	11	.	.	PUNCT
bracis-28397	285	12	(	(	PUNCT
bracis-28397	285	13	eds	ed	NOUN
bracis-28397	285	14	)	)	PUNCT
bracis-28397	285	15	intelligent	intelligent	ADJ
bracis-28397	285	16	systems	system	NOUN
bracis-28397	285	17	.	.	PUNCT
bracis-28397	286	1	bracis	bracis	PROPN
bracis-28397	286	2	2023	2023	NUM
bracis-28397	286	3	.	.	PUNCT
bracis-28397	287	1	lecture	lecture	NOUN
bracis-28397	287	2	notes	note	NOUN
bracis-28397	287	3	in	in	ADP
bracis-28397	287	4	computer	computer	NOUN
bracis-28397	287	5	science	science	NOUN
bracis-28397	287	6	(	(	PUNCT
bracis-28397	287	7	)	)	PUNCT
bracis-28397	287	8	,	,	PUNCT
bracis-28397	287	9	vol	vol	NOUN
bracis-28397	287	10	14196	14196	NUM
bracis-28397	287	11	.	.	PUNCT
bracis-28397	288	1	springer	springer	NOUN
bracis-28397	288	2	,	,	PUNCT
bracis-28397	288	3	cham	cham	PROPN
bracis-28397	288	4	.	.	PUNCT
bracis-28397	289	1	https://doi.org/10.1007/978-3-031-45389-2_23	https://doi.org/10.1007/978-3-031-45389-2_23	PROPN
bracis-28397	289	2	download	download	NOUN
bracis-28397	289	3	citation	citation	NOUN
bracis-28397	289	4	.ris	.ris	PUNCT
bracis-28397	289	5	.enw	.enw	PROPN
bracis-28397	289	6	.bib	.bib	PUNCT
bracis-28397	290	1	doi	doi	PROPN
bracis-28397	290	2	:	:	PUNCT
bracis-28397	290	3	https://doi.org/10.1007/978-3-031-45389-2_23	https://doi.org/10.1007/978-3-031-45389-2_23	PROPN
bracis-28397	290	4	published	publish	VERB
bracis-28397	290	5	:	:	PUNCT
bracis-28397	290	6	12	12	NUM
bracis-28397	290	7	october	october	PROPN
bracis-28397	290	8	2023	2023	NUM
bracis-28397	290	9	publisher	publisher	NOUN
bracis-28397	290	10	name	name	NOUN
bracis-28397	290	11	:	:	PUNCT
bracis-28397	290	12	springer	springer	NOUN
bracis-28397	290	13	,	,	PUNCT
bracis-28397	290	14	cham	cham	PROPN
bracis-28397	290	15	print	print	PROPN
bracis-28397	290	16	isbn	isbn	PROPN
bracis-28397	290	17	:	:	PUNCT
bracis-28397	290	18	978	978	NUM
bracis-28397	290	19	-	-	SYM
bracis-28397	290	20	3	3	NUM
bracis-28397	290	21	-	-	PUNCT
bracis-28397	290	22	031	031	NUM
bracis-28397	290	23	-	-	PUNCT
bracis-28397	290	24	45388	45388	NUM
bracis-28397	290	25	-	-	SYM
bracis-28397	290	26	5	5	NUM
bracis-28397	290	27	online	online	ADJ
bracis-28397	290	28	isbn	isbn	NOUN
bracis-28397	290	29	:	:	PUNCT
bracis-28397	290	30	978	978	NUM
bracis-28397	290	31	-	-	SYM
bracis-28397	290	32	3	3	NUM
bracis-28397	290	33	-	-	PUNCT
bracis-28397	290	34	031	031	NUM
bracis-28397	290	35	-	-	PUNCT
bracis-28397	290	36	45389	45389	NUM
bracis-28397	290	37	-	-	SYM
bracis-28397	290	38	2	2	NUM
bracis-28397	290	39	ebook	ebook	NOUN
bracis-28397	290	40	packages	package	NOUN
bracis-28397	290	41	:	:	PUNCT
bracis-28397	290	42	computer	computer	NOUN
bracis-28397	290	43	sciencecomputer	sciencecomputer	NOUN
bracis-28397	290	44	science	science	NOUN
bracis-28397	290	45	(	(	PUNCT
bracis-28397	290	46	r0	r0	NOUN
bracis-28397	290	47	)	)	PUNCT
bracis-28397	290	48	share	share	VERB
bracis-28397	290	49	this	this	DET
bracis-28397	290	50	paper	paper	NOUN
bracis-28397	290	51	anyone	anyone	PRON
bracis-28397	290	52	you	you	PRON
bracis-28397	290	53	share	share	VERB
bracis-28397	290	54	the	the	DET
bracis-28397	290	55	following	follow	VERB
bracis-28397	290	56	link	link	NOUN
bracis-28397	290	57	with	with	ADP
bracis-28397	290	58	will	will	AUX
bracis-28397	290	59	be	be	AUX
bracis-28397	290	60	able	able	ADJ
bracis-28397	290	61	to	to	PART
bracis-28397	290	62	read	read	VERB
bracis-28397	290	63	this	this	DET
bracis-28397	290	64	content	content	NOUN
bracis-28397	290	65	:	:	PUNCT
bracis-28397	290	66	get	get	VERB
bracis-28397	290	67	shareable	shareable	ADJ
bracis-28397	290	68	linksorry	linksorry	NOUN
bracis-28397	290	69	,	,	PUNCT
bracis-28397	290	70	a	a	DET
bracis-28397	290	71	shareable	shareable	ADJ
bracis-28397	290	72	link	link	NOUN
bracis-28397	290	73	is	be	AUX
bracis-28397	290	74	not	not	PART
bracis-28397	290	75	currently	currently	ADV
bracis-28397	290	76	available	available	ADJ
bracis-28397	290	77	for	for	ADP
bracis-28397	290	78	this	this	DET
bracis-28397	290	79	article	article	NOUN
bracis-28397	290	80	.	.	PUNCT
bracis-28397	291	1	copy	copy	VERB
bracis-28397	291	2	shareable	shareable	ADJ
bracis-28397	291	3	link	link	NOUN
bracis-28397	291	4	to	to	PART
bracis-28397	291	5	clipboard	clipboard	NOUN
bracis-28397	291	6	provided	provide	VERB
bracis-28397	291	7	by	by	ADP
bracis-28397	291	8	the	the	DET
bracis-28397	291	9	springer	springer	NOUN
bracis-28397	291	10	nature	nature	PROPN
bracis-28397	291	11	sharedit	sharedit	PROPN
bracis-28397	291	12	content	content	NOUN
bracis-28397	291	13	-	-	PUNCT
bracis-28397	291	14	sharing	share	VERB
bracis-28397	291	15	initiative	initiative	NOUN
bracis-28397	291	16	keywords	keyword	NOUN
bracis-28397	291	17	out	out	ADV
bracis-28397	291	18	-	-	PUNCT
bracis-28397	291	19	of	of	ADP
bracis-28397	291	20	-	-	PUNCT
bracis-28397	291	21	distribution	distribution	NOUN
bracis-28397	291	22	detection	detection	NOUN
bracis-28397	291	23	deep	deep	ADJ
bracis-28397	291	24	learning	learn	VERB
bracis-28397	291	25	feature	feature	NOUN
bracis-28397	291	26	space	space	NOUN
bracis-28397	291	27	publish	publish	NOUN
bracis-28397	291	28	with	with	ADP
bracis-28397	291	29	us	us	PROPN
bracis-28397	291	30	policies	policy	NOUN
bracis-28397	291	31	and	and	CCONJ
bracis-28397	291	32	ethics	ethic	NOUN
bracis-28397	291	33	profiles	profile	NOUN
bracis-28397	291	34	marley	marley	PROPN
bracis-28397	291	35	vellasco	vellasco	PROPN
bracis-28397	291	36	view	view	PROPN
bracis-28397	291	37	author	author	NOUN
bracis-28397	291	38	profile	profile	NOUN
bracis-28397	291	39	search	search	NOUN
bracis-28397	291	40	search	search	NOUN
bracis-28397	291	41	by	by	ADP
bracis-28397	291	42	keyword	keyword	NOUN
bracis-28397	291	43	or	or	CCONJ
bracis-28397	291	44	author	author	NOUN
bracis-28397	291	45	search	search	NOUN
bracis-28397	291	46	navigation	navigation	NOUN
bracis-28397	291	47	find	find	VERB
bracis-28397	291	48	a	a	DET
bracis-28397	291	49	journal	journal	NOUN
bracis-28397	291	50	publish	publish	VERB
bracis-28397	291	51	with	with	ADP
bracis-28397	291	52	us	we	PRON
bracis-28397	291	53	track	track	VERB
bracis-28397	291	54	your	your	PRON
bracis-28397	291	55	research	research	NOUN
bracis-28397	291	56	discover	discover	VERB
bracis-28397	291	57	content	content	NOUN
bracis-28397	291	58	journals	journal	NOUN
bracis-28397	291	59	a	a	DET
bracis-28397	291	60	-	-	PUNCT
bracis-28397	291	61	z	z	NOUN
bracis-28397	291	62	books	book	NOUN
bracis-28397	291	63	a	a	DET
bracis-28397	291	64	-	-	PUNCT
bracis-28397	291	65	z	z	NOUN
bracis-28397	291	66	publish	publish	NOUN
bracis-28397	291	67	with	with	ADP
bracis-28397	291	68	us	us	PROPN
bracis-28397	291	69	journal	journal	PROPN
bracis-28397	291	70	finder	finder	PROPN
bracis-28397	291	71	publish	publish	VERB
bracis-28397	291	72	your	your	PRON
bracis-28397	291	73	research	research	NOUN
bracis-28397	291	74	language	language	NOUN
bracis-28397	291	75	editing	edit	VERB
bracis-28397	291	76	open	open	ADJ
bracis-28397	291	77	access	access	NOUN
bracis-28397	291	78	publishing	publishing	NOUN
bracis-28397	291	79	products	product	NOUN
bracis-28397	291	80	and	and	CCONJ
bracis-28397	291	81	services	service	NOUN
bracis-28397	291	82	our	our	PRON
bracis-28397	291	83	products	product	NOUN
bracis-28397	291	84	librarians	librarian	VERB
bracis-28397	291	85	societies	society	NOUN
bracis-28397	291	86	partners	partner	NOUN
bracis-28397	291	87	and	and	CCONJ
bracis-28397	291	88	advertisers	advertiser	NOUN
bracis-28397	291	89	our	our	PRON
bracis-28397	291	90	brands	brand	NOUN
bracis-28397	291	91	springer	springer	NOUN
bracis-28397	291	92	nature	nature	PROPN
bracis-28397	291	93	portfolio	portfolio	PROPN
bracis-28397	291	94	bmc	bmc	PROPN
bracis-28397	291	95	palgrave	palgrave	PROPN
bracis-28397	291	96	macmillan	macmillan	PROPN
bracis-28397	291	97	apress	apress	PROPN
bracis-28397	291	98	discover	discover	VERB
bracis-28397	291	99	your	your	PRON
bracis-28397	291	100	privacy	privacy	NOUN
bracis-28397	291	101	choices	choice	NOUN
bracis-28397	291	102	/	/	SYM
bracis-28397	291	103	manage	manage	NOUN
bracis-28397	291	104	cookies	cookie	NOUN
bracis-28397	291	105	your	your	PRON
bracis-28397	291	106	us	us	PROPN
bracis-28397	292	1	state	state	NOUN
bracis-28397	292	2	privacy	privacy	NOUN
bracis-28397	292	3	rights	right	NOUN
bracis-28397	292	4	accessibility	accessibility	NOUN
bracis-28397	292	5	statement	statement	NOUN
bracis-28397	292	6	terms	term	NOUN
bracis-28397	292	7	and	and	CCONJ
bracis-28397	292	8	conditions	condition	NOUN
bracis-28397	292	9	privacy	privacy	NOUN
bracis-28397	292	10	policy	policy	NOUN
bracis-28397	292	11	help	help	NOUN
bracis-28397	292	12	and	and	CCONJ
bracis-28397	292	13	support	support	VERB
bracis-28397	292	14	legal	legal	ADJ
bracis-28397	292	15	notice	notice	NOUN
bracis-28397	292	16	cancel	cancel	VERB
bracis-28397	292	17	contracts	contract	NOUN
bracis-28397	292	18	here	here	ADV
bracis-28397	292	19	129.74.145.123	129.74.145.123	NUM
bracis-28397	292	20	hesburgh	hesburgh	PROPN
bracis-28397	292	21	library	library	PROPN
bracis-28397	292	22	er	er	INTJ
bracis-28397	292	23	unit	unit	NOUN
bracis-28397	292	24	(	(	PUNCT
bracis-28397	292	25	3005732405	3005732405	NUM
bracis-28397	292	26	)	)	PUNCT
bracis-28397	292	27	northeast	northeast	ADJ
bracis-28397	292	28	research	research	NOUN
bracis-28397	292	29	libraries	library	NOUN
bracis-28397	292	30	(	(	PUNCT
bracis-28397	292	31	nerl	nerl	PROPN
bracis-28397	292	32	)	)	PUNCT
bracis-28397	292	33	(	(	PUNCT
bracis-28397	292	34	8200828607	8200828607	NUM
bracis-28397	292	35	)	)	PUNCT
bracis-28397	292	36	nerl	nerl	VERB
bracis-28397	292	37	ta	ta	X
bracis-28397	292	38	account	account	NOUN
bracis-28397	292	39	(	(	PUNCT
bracis-28397	292	40	3006206169	3006206169	NUM
bracis-28397	292	41	)	)	PUNCT
bracis-28397	292	42	university	university	NOUN
bracis-28397	292	43	of	of	ADP
bracis-28397	292	44	notre	notre	PROPN
bracis-28397	292	45	dame	dame	PROPN
bracis-28397	292	46	hesburgh	hesburgh	PROPN
bracis-28397	292	47	library	library	NOUN
bracis-28397	292	48	(	(	PUNCT
bracis-28397	292	49	3000184373	3000184373	NUM
bracis-28397	292	50	)	)	PUNCT
bracis-28397	293	1	©	©	ADP
bracis-28397	293	2	2025	2025	NUM
bracis-28397	293	3	springer	springer	NOUN
bracis-28397	293	4	nature	nature	NOUN