id	sid	tid	token	lemma	pos
fcis-23824	1	1	frontiers	frontier	NOUN
fcis-23824	1	2	in	in	ADP
fcis-23824	1	3	computing	computing	NOUN
fcis-23824	1	4	and	and	CCONJ
fcis-23824	1	5	intelligent	intelligent	ADJ
fcis-23824	1	6	systems	system	NOUN
fcis-23824	1	7	issn	issn	VERB
fcis-23824	1	8	:	:	PUNCT
fcis-23824	1	9	2832	2832	NUM
fcis-23824	1	10	-	-	SYM
fcis-23824	1	11	6024	6024	NUM
fcis-23824	1	12	|	|	NOUN
fcis-23824	1	13	vol	vol	NOUN
fcis-23824	1	14	.	.	PROPN
fcis-23824	2	1	9	9	NUM
fcis-23824	2	2	,	,	PUNCT
fcis-23824	2	3	no	no	INTJ
fcis-23824	2	4	.	.	NOUN
fcis-23824	2	5	1	1	NUM
fcis-23824	2	6	,	,	PUNCT
fcis-23824	2	7	2024	2024	NUM
fcis-23824	2	8	1	1	NUM
fcis-23824	2	9	autoencoder‐based	autoencoder‐base	VERB
fcis-23824	2	10	data	data	NOUN
fcis-23824	2	11	completion	completion	NOUN
fcis-23824	2	12	model	model	NOUN
fcis-23824	2	13	for	for	ADP
fcis-23824	2	14	theft	theft	NOUN
fcis-23824	2	15	cases	case	NOUN
fcis-23824	2	16	of	of	ADP
fcis-23824	2	17	items	item	NOUN
fcis-23824	2	18	inside	inside	ADP
fcis-23824	2	19	cars	car	NOUN
fcis-23824	2	20	enqi	enqi	VERB
fcis-23824	2	21	cao	cao	PROPN
fcis-23824	2	22	,	,	PUNCT
fcis-23824	2	23	fanliang	fanliang	NOUN
fcis-23824	2	24	bu	bu	PROPN
fcis-23824	3	1	*	*	PUNCT
fcis-23824	4	1	and	and	CCONJ
fcis-23824	4	2	zhuxuan	zhuxuan	PROPN
fcis-23824	4	3	han	han	PROPN
fcis-23824	4	4	school	school	PROPN
fcis-23824	4	5	of	of	ADP
fcis-23824	4	6	information	information	NOUN
fcis-23824	4	7	technology	technology	NOUN
fcis-23824	4	8	and	and	CCONJ
fcis-23824	4	9	cyber	cyber	NOUN
fcis-23824	4	10	security	security	NOUN
fcis-23824	4	11	,	,	PUNCT
fcis-23824	4	12	people	people	NOUN
fcis-23824	4	13	’s	’s	PART
fcis-23824	4	14	public	public	ADJ
fcis-23824	4	15	security	security	NOUN
fcis-23824	4	16	university	university	PROPN
fcis-23824	4	17	of	of	ADP
fcis-23824	4	18	china	china	PROPN
fcis-23824	4	19	,	,	PUNCT
fcis-23824	4	20	beijing	beijing	PROPN
fcis-23824	4	21	,	,	PUNCT
fcis-23824	4	22	china	china	PROPN
fcis-23824	4	23	*	*	PUNCT
fcis-23824	4	24	corresponding	correspond	VERB
fcis-23824	4	25	author	author	NOUN
fcis-23824	4	26	:	:	PUNCT
fcis-23824	4	27	fanliang	fanliang	PROPN
fcis-23824	4	28	bu	bu	PROPN
fcis-23824	4	29	(	(	PUNCT
fcis-23824	4	30	email	email	NOUN
fcis-23824	4	31	:	:	PUNCT
fcis-23824	4	32	2021211461@stu.ppsuc.edu.cn	2021211461@stu.ppsuc.edu.cn	NUM
fcis-23824	4	33	)	)	PUNCT
fcis-23824	4	34	abstract	abstract	NOUN
fcis-23824	4	35	:	:	PUNCT
fcis-23824	5	1	accurate	accurate	ADJ
fcis-23824	5	2	and	and	CCONJ
fcis-23824	5	3	reliable	reliable	ADJ
fcis-23824	5	4	prediction	prediction	NOUN
fcis-23824	5	5	results	result	NOUN
fcis-23824	5	6	depend	depend	VERB
fcis-23824	5	7	on	on	ADP
fcis-23824	5	8	high	high	ADJ
fcis-23824	5	9	-	-	PUNCT
fcis-23824	5	10	quality	quality	NOUN
fcis-23824	5	11	data	datum	NOUN
fcis-23824	5	12	,	,	PUNCT
fcis-23824	5	13	and	and	CCONJ
fcis-23824	5	14	missing	miss	VERB
fcis-23824	5	15	data	datum	NOUN
fcis-23824	5	16	is	be	AUX
fcis-23824	5	17	one	one	NUM
fcis-23824	5	18	of	of	ADP
fcis-23824	5	19	the	the	DET
fcis-23824	5	20	key	key	ADJ
fcis-23824	5	21	factors	factor	NOUN
fcis-23824	5	22	affecting	affect	VERB
fcis-23824	5	23	data	datum	NOUN
fcis-23824	5	24	quality	quality	NOUN
fcis-23824	5	25	.	.	PUNCT
fcis-23824	6	1	this	this	DET
fcis-23824	6	2	paper	paper	NOUN
fcis-23824	6	3	proposes	propose	VERB
fcis-23824	6	4	a	a	DET
fcis-23824	6	5	data	data	NOUN
fcis-23824	6	6	completion	completion	NOUN
fcis-23824	6	7	model	model	NOUN
fcis-23824	6	8	for	for	ADP
fcis-23824	6	9	car	car	NOUN
fcis-23824	6	10	interior	interior	ADJ
fcis-23824	6	11	theft	theft	NOUN
fcis-23824	6	12	cases	case	NOUN
fcis-23824	6	13	based	base	VERB
fcis-23824	6	14	on	on	ADP
fcis-23824	6	15	an	an	DET
fcis-23824	6	16	autoencoder	autoencoder	NOUN
fcis-23824	6	17	,	,	PUNCT
fcis-23824	6	18	which	which	PRON
fcis-23824	6	19	adopts	adopt	VERB
fcis-23824	6	20	an	an	DET
fcis-23824	6	21	autoencoder	autoencoder	NOUN
fcis-23824	6	22	architecture	architecture	NOUN
fcis-23824	6	23	combining	combine	VERB
fcis-23824	6	24	re	re	ADJ
fcis-23824	6	25	-	-	ADJ
fcis-23824	6	26	parameterized	parameterized	ADJ
fcis-23824	6	27	convolutional	convolutional	ADJ
fcis-23824	6	28	neural	neural	ADJ
fcis-23824	6	29	network	network	NOUN
fcis-23824	6	30	and	and	CCONJ
fcis-23824	6	31	recurrent	recurrent	ADJ
fcis-23824	6	32	neural	neural	ADJ
fcis-23824	6	33	network	network	NOUN
fcis-23824	6	34	.	.	PUNCT
fcis-23824	7	1	experimental	experimental	ADJ
fcis-23824	7	2	results	result	NOUN
fcis-23824	7	3	show	show	VERB
fcis-23824	7	4	that	that	SCONJ
fcis-23824	7	5	repconv	repconv	NOUN
fcis-23824	7	6	-	-	PUNCT
fcis-23824	7	7	rnn	rnn	PROPN
fcis-23824	7	8	-	-	PUNCT
fcis-23824	7	9	ae	ae	PROPN
fcis-23824	7	10	can	can	AUX
fcis-23824	7	11	effectively	effectively	ADV
fcis-23824	7	12	complete	complete	VERB
fcis-23824	7	13	the	the	DET
fcis-23824	7	14	missing	miss	VERB
fcis-23824	7	15	values	value	NOUN
fcis-23824	7	16	in	in	ADP
fcis-23824	7	17	car	car	NOUN
fcis-23824	7	18	interior	interior	ADJ
fcis-23824	7	19	theft	theft	NOUN
fcis-23824	7	20	case	case	NOUN
fcis-23824	7	21	data	datum	NOUN
fcis-23824	7	22	and	and	CCONJ
fcis-23824	7	23	demonstrates	demonstrate	VERB
fcis-23824	7	24	superiority	superiority	NOUN
fcis-23824	7	25	in	in	ADP
fcis-23824	7	26	completing	complete	VERB
fcis-23824	7	27	missing	miss	VERB
fcis-23824	7	28	data	datum	NOUN
fcis-23824	7	29	in	in	ADP
fcis-23824	7	30	car	car	NOUN
fcis-23824	7	31	interior	interior	ADJ
fcis-23824	7	32	theft	theft	NOUN
fcis-23824	7	33	cases	case	NOUN
fcis-23824	7	34	.	.	PUNCT
fcis-23824	8	1	keywords	keyword	NOUN
fcis-23824	8	2	:	:	PUNCT
fcis-23824	8	3	autoencoder	autoencoder	NOUN
fcis-23824	8	4	;	;	PUNCT
fcis-23824	8	5	theft	theft	NOUN
fcis-23824	8	6	cases	case	NOUN
fcis-23824	8	7	;	;	PUNCT
fcis-23824	8	8	data	datum	NOUN
fcis-23824	8	9	completion	completion	NOUN
fcis-23824	8	10	.	.	PUNCT
fcis-23824	9	1	1	1	X
fcis-23824	9	2	.	.	X
fcis-23824	9	3	introduction	introduction	NOUN
fcis-23824	9	4	accurate	accurate	ADJ
fcis-23824	9	5	and	and	CCONJ
fcis-23824	9	6	reliable	reliable	ADJ
fcis-23824	9	7	prediction	prediction	NOUN
fcis-23824	9	8	results	result	NOUN
fcis-23824	9	9	depend	depend	VERB
fcis-23824	9	10	on	on	ADP
fcis-23824	9	11	highquality	highquality	NOUN
fcis-23824	9	12	data	datum	NOUN
fcis-23824	9	13	,	,	PUNCT
fcis-23824	9	14	with	with	ADP
fcis-23824	9	15	missing	miss	VERB
fcis-23824	9	16	data	datum	NOUN
fcis-23824	9	17	being	be	AUX
fcis-23824	9	18	a	a	DET
fcis-23824	9	19	key	key	ADJ
fcis-23824	9	20	factor	factor	NOUN
fcis-23824	9	21	affecting	affect	VERB
fcis-23824	9	22	data	datum	NOUN
fcis-23824	9	23	quality	quality	NOUN
fcis-23824	9	24	[	[	X
fcis-23824	9	25	1	1	NUM
fcis-23824	9	26	]	]	PUNCT
fcis-23824	9	27	.	.	PUNCT
fcis-23824	10	1	in	in	ADP
fcis-23824	10	2	most	most	ADJ
fcis-23824	10	3	data	datum	NOUN
fcis-23824	10	4	collected	collect	VERB
fcis-23824	10	5	across	across	ADP
fcis-23824	10	6	various	various	ADJ
fcis-23824	10	7	social	social	ADJ
fcis-23824	10	8	domains	domain	NOUN
fcis-23824	10	9	,	,	PUNCT
fcis-23824	10	10	there	there	PRON
fcis-23824	10	11	is	be	VERB
fcis-23824	10	12	often	often	ADV
fcis-23824	10	13	some	some	DET
fcis-23824	10	14	degree	degree	NOUN
fcis-23824	10	15	of	of	ADP
fcis-23824	10	16	missing	miss	VERB
fcis-23824	10	17	data	datum	NOUN
fcis-23824	10	18	,	,	PUNCT
fcis-23824	10	19	which	which	PRON
fcis-23824	10	20	is	be	AUX
fcis-23824	10	21	a	a	DET
fcis-23824	10	22	common	common	ADJ
fcis-23824	10	23	and	and	CCONJ
fcis-23824	10	24	unavoidable	unavoidable	ADJ
fcis-23824	10	25	issue	issue	NOUN
fcis-23824	10	26	[	[	X
fcis-23824	10	27	2	2	NUM
fcis-23824	10	28	]	]	PUNCT
fcis-23824	10	29	.	.	PUNCT
fcis-23824	11	1	missing	miss	VERB
fcis-23824	11	2	data	datum	NOUN
fcis-23824	11	3	directly	directly	ADV
fcis-23824	11	4	leads	lead	VERB
fcis-23824	11	5	to	to	ADP
fcis-23824	11	6	reduced	reduced	ADJ
fcis-23824	11	7	data	datum	NOUN
fcis-23824	11	8	completeness	completeness	NOUN
fcis-23824	11	9	and	and	CCONJ
fcis-23824	11	10	decreased	decrease	VERB
fcis-23824	11	11	correlation	correlation	NOUN
fcis-23824	11	12	among	among	ADP
fcis-23824	11	13	different	different	ADJ
fcis-23824	11	14	attributes	attribute	NOUN
fcis-23824	11	15	within	within	ADP
fcis-23824	11	16	the	the	DET
fcis-23824	11	17	data	datum	NOUN
fcis-23824	11	18	,	,	PUNCT
fcis-23824	11	19	thereby	thereby	ADV
fcis-23824	11	20	degrading	degrade	VERB
fcis-23824	11	21	data	datum	NOUN
fcis-23824	11	22	quality	quality	NOUN
fcis-23824	11	23	and	and	CCONJ
fcis-23824	11	24	subsequently	subsequently	ADV
fcis-23824	11	25	impacting	impact	VERB
fcis-23824	11	26	data	datum	NOUN
fcis-23824	11	27	analysis	analysis	NOUN
fcis-23824	11	28	and	and	CCONJ
fcis-23824	11	29	prediction	prediction	NOUN
fcis-23824	11	30	tasks	task	NOUN
fcis-23824	11	31	[	[	X
fcis-23824	11	32	3	3	NUM
fcis-23824	11	33	]	]	PUNCT
fcis-23824	11	34	.	.	PUNCT
fcis-23824	12	1	in	in	ADP
fcis-23824	12	2	recent	recent	ADJ
fcis-23824	12	3	years	year	NOUN
fcis-23824	12	4	,	,	PUNCT
fcis-23824	12	5	although	although	SCONJ
fcis-23824	12	6	data	datum	NOUN
fcis-23824	12	7	completion	completion	NOUN
fcis-23824	12	8	techniques	technique	NOUN
fcis-23824	12	9	have	have	AUX
fcis-23824	12	10	been	be	AUX
fcis-23824	12	11	applied	apply	VERB
fcis-23824	12	12	in	in	ADP
fcis-23824	12	13	crime	crime	NOUN
fcis-23824	12	14	research	research	NOUN
fcis-23824	12	15	,	,	PUNCT
fcis-23824	12	16	most	most	ADJ
fcis-23824	12	17	methods	method	NOUN
fcis-23824	12	18	for	for	ADP
fcis-23824	12	19	completing	complete	VERB
fcis-23824	12	20	missing	miss	VERB
fcis-23824	12	21	data	datum	NOUN
fcis-23824	12	22	in	in	ADP
fcis-23824	12	23	crime	crime	NOUN
fcis-23824	12	24	case	case	NOUN
fcis-23824	12	25	data	datum	NOUN
fcis-23824	12	26	still	still	ADV
fcis-23824	12	27	rely	rely	VERB
fcis-23824	12	28	heavily	heavily	ADV
fcis-23824	12	29	on	on	ADP
fcis-23824	12	30	traditional	traditional	ADJ
fcis-23824	12	31	machine	machine	NOUN
fcis-23824	12	32	learning	learning	NOUN
fcis-23824	12	33	algorithms	algorithm	NOUN
fcis-23824	12	34	.	.	PUNCT
fcis-23824	13	1	with	with	ADP
fcis-23824	13	2	the	the	DET
fcis-23824	13	3	rapid	rapid	ADJ
fcis-23824	13	4	growth	growth	NOUN
fcis-23824	13	5	of	of	ADP
fcis-23824	13	6	data	datum	NOUN
fcis-23824	13	7	volumes	volume	NOUN
fcis-23824	13	8	in	in	ADP
fcis-23824	13	9	the	the	DET
fcis-23824	13	10	public	public	ADJ
fcis-23824	13	11	safety	safety	NOUN
fcis-23824	13	12	field	field	NOUN
fcis-23824	13	13	,	,	PUNCT
fcis-23824	13	14	traditional	traditional	ADJ
fcis-23824	13	15	machine	machine	NOUN
fcis-23824	13	16	learning	learning	NOUN
fcis-23824	13	17	-	-	PUNCT
fcis-23824	13	18	based	base	VERB
fcis-23824	13	19	data	datum	NOUN
fcis-23824	13	20	completion	completion	NOUN
fcis-23824	13	21	methods	method	NOUN
fcis-23824	13	22	have	have	AUX
fcis-23824	13	23	shown	show	VERB
fcis-23824	13	24	significant	significant	ADJ
fcis-23824	13	25	limitations	limitation	NOUN
fcis-23824	13	26	in	in	ADP
fcis-23824	13	27	dealing	deal	VERB
fcis-23824	13	28	with	with	ADP
fcis-23824	13	29	complex	complex	ADJ
fcis-23824	13	30	highdimensional	highdimensional	ADJ
fcis-23824	13	31	crime	crime	NOUN
fcis-23824	13	32	datasets	dataset	NOUN
fcis-23824	13	33	,	,	PUNCT
fcis-23824	13	34	resulting	result	VERB
fcis-23824	13	35	in	in	ADP
fcis-23824	13	36	poor	poor	ADJ
fcis-23824	13	37	data	datum	NOUN
fcis-23824	13	38	completion	completion	NOUN
fcis-23824	13	39	performance	performance	NOUN
fcis-23824	13	40	and	and	CCONJ
fcis-23824	13	41	low	low	ADJ
fcis-23824	13	42	efficiency	efficiency	NOUN
fcis-23824	13	43	.	.	PUNCT
fcis-23824	14	1	re	re	VERB
fcis-23824	14	2	-	-	ADJ
fcis-23824	14	3	parameterized	parameterized	ADJ
fcis-23824	14	4	convolutional	convolutional	ADJ
fcis-23824	14	5	neural	neural	ADJ
fcis-23824	14	6	network	network	NOUN
fcis-23824	14	7	(	(	PUNCT
fcis-23824	14	8	repcnn	repcnn	PROPN
fcis-23824	14	9	)	)	PUNCT
fcis-23824	14	10	is	be	AUX
fcis-23824	14	11	an	an	DET
fcis-23824	14	12	improved	improved	ADJ
fcis-23824	14	13	convolutional	convolutional	ADJ
fcis-23824	14	14	neural	neural	ADJ
fcis-23824	14	15	network	network	NOUN
fcis-23824	14	16	architecture	architecture	NOUN
fcis-23824	14	17	with	with	ADP
fcis-23824	14	18	higher	high	ADJ
fcis-23824	14	19	performance	performance	NOUN
fcis-23824	14	20	and	and	CCONJ
fcis-23824	14	21	lower	low	ADJ
fcis-23824	14	22	complexity	complexity	NOUN
fcis-23824	14	23	[	[	X
fcis-23824	14	24	4	4	NUM
fcis-23824	14	25	]	]	PUNCT
fcis-23824	14	26	.	.	PUNCT
fcis-23824	15	1	this	this	DET
fcis-23824	15	2	convolution	convolution	NOUN
fcis-23824	15	3	operation	operation	NOUN
fcis-23824	15	4	enhances	enhance	VERB
fcis-23824	15	5	the	the	DET
fcis-23824	15	6	feature	feature	NOUN
fcis-23824	15	7	extraction	extraction	NOUN
fcis-23824	15	8	capability	capability	NOUN
fcis-23824	15	9	of	of	ADP
fcis-23824	15	10	time	time	NOUN
fcis-23824	15	11	series	series	PROPN
fcis-23824	15	12	data	data	PROPN
fcis-23824	15	13	for	for	ADP
fcis-23824	15	14	car	car	NOUN
fcis-23824	15	15	interior	interior	ADJ
fcis-23824	15	16	theft	theft	NOUN
fcis-23824	15	17	cases	case	NOUN
fcis-23824	15	18	,	,	PUNCT
fcis-23824	15	19	efficiently	efficiently	ADV
fcis-23824	15	20	extracting	extract	VERB
fcis-23824	15	21	local	local	ADJ
fcis-23824	15	22	spatial	spatial	ADJ
fcis-23824	15	23	features	feature	NOUN
fcis-23824	15	24	from	from	ADP
fcis-23824	15	25	the	the	DET
fcis-23824	15	26	data	datum	NOUN
fcis-23824	15	27	.	.	PUNCT
fcis-23824	16	1	although	although	SCONJ
fcis-23824	16	2	car	car	NOUN
fcis-23824	16	3	interior	interior	ADJ
fcis-23824	16	4	theft	theft	NOUN
fcis-23824	16	5	case	case	NOUN
fcis-23824	16	6	data	datum	NOUN
fcis-23824	16	7	is	be	AUX
fcis-23824	16	8	essentially	essentially	ADV
fcis-23824	16	9	onedimensional	onedimensional	ADJ
fcis-23824	16	10	,	,	PUNCT
fcis-23824	16	11	the	the	DET
fcis-23824	16	12	location	location	NOUN
fcis-23824	16	13	information	information	NOUN
fcis-23824	16	14	can	can	AUX
fcis-23824	16	15	still	still	ADV
fcis-23824	16	16	be	be	AUX
fcis-23824	16	17	transformed	transform	VERB
fcis-23824	16	18	into	into	ADP
fcis-23824	16	19	multidimensional	multidimensional	ADJ
fcis-23824	16	20	features	feature	NOUN
fcis-23824	16	21	through	through	ADP
fcis-23824	16	22	one	one	NUM
fcis-23824	16	23	-	-	PUNCT
fcis-23824	16	24	hot	hot	ADJ
fcis-23824	16	25	encoding	encoding	NOUN
fcis-23824	16	26	.	.	PUNCT
fcis-23824	17	1	this	this	PRON
fcis-23824	17	2	allows	allow	VERB
fcis-23824	17	3	rep	rep	NOUN
fcis-23824	17	4	-	-	PUNCT
fcis-23824	17	5	cnn	cnn	PROPN
fcis-23824	17	6	to	to	PART
fcis-23824	17	7	perform	perform	VERB
fcis-23824	17	8	convolution	convolution	NOUN
fcis-23824	17	9	operations	operation	NOUN
fcis-23824	17	10	on	on	ADP
fcis-23824	17	11	these	these	DET
fcis-23824	17	12	multidimensional	multidimensional	ADJ
fcis-23824	17	13	features	feature	NOUN
fcis-23824	17	14	,	,	PUNCT
fcis-23824	17	15	capturing	capture	VERB
fcis-23824	17	16	the	the	DET
fcis-23824	17	17	spatial	spatial	ADJ
fcis-23824	17	18	distribution	distribution	NOUN
fcis-23824	17	19	patterns	pattern	NOUN
fcis-23824	17	20	of	of	ADP
fcis-23824	17	21	car	car	NOUN
fcis-23824	17	22	interior	interior	ADJ
fcis-23824	17	23	theft	theft	NOUN
fcis-23824	17	24	cases	case	NOUN
fcis-23824	17	25	and	and	CCONJ
fcis-23824	17	26	identifying	identify	VERB
fcis-23824	17	27	high	high	ADJ
fcis-23824	17	28	-	-	PUNCT
fcis-23824	17	29	incidence	incidence	NOUN
fcis-23824	17	30	areas	area	NOUN
fcis-23824	17	31	for	for	ADP
fcis-23824	17	32	such	such	ADJ
fcis-23824	17	33	crimes	crime	NOUN
fcis-23824	17	34	.	.	PUNCT
fcis-23824	18	1	recurrent	recurrent	ADJ
fcis-23824	18	2	neural	neural	ADJ
fcis-23824	18	3	network	network	NOUN
fcis-23824	18	4	(	(	PUNCT
fcis-23824	18	5	rnn	rnn	PROPN
fcis-23824	18	6	)	)	PUNCT
fcis-23824	18	7	excels	excel	NOUN
fcis-23824	18	8	in	in	ADP
fcis-23824	18	9	processing	processing	NOUN
fcis-23824	18	10	time	time	NOUN
fcis-23824	18	11	series	series	PROPN
fcis-23824	18	12	data	datum	NOUN
fcis-23824	18	13	[	[	X
fcis-23824	18	14	5	5	NUM
fcis-23824	18	15	]	]	PUNCT
fcis-23824	18	16	,	,	PUNCT
fcis-23824	18	17	capturing	capture	VERB
fcis-23824	18	18	the	the	DET
fcis-23824	18	19	temporal	temporal	ADJ
fcis-23824	18	20	dependencies	dependency	NOUN
fcis-23824	18	21	within	within	ADP
fcis-23824	18	22	car	car	NOUN
fcis-23824	18	23	interior	interior	ADJ
fcis-23824	18	24	theft	theft	NOUN
fcis-23824	18	25	case	case	NOUN
fcis-23824	18	26	data	datum	NOUN
fcis-23824	18	27	,	,	PUNCT
fcis-23824	18	28	and	and	CCONJ
fcis-23824	18	29	identifying	identify	VERB
fcis-23824	18	30	high	high	ADJ
fcis-23824	18	31	-	-	PUNCT
fcis-23824	18	32	incidence	incidence	NOUN
fcis-23824	18	33	periods	period	NOUN
fcis-23824	18	34	for	for	ADP
fcis-23824	18	35	such	such	ADJ
fcis-23824	18	36	crimes	crime	NOUN
fcis-23824	18	37	.	.	PUNCT
fcis-23824	19	1	autoencoder	autoencoder	NOUN
fcis-23824	19	2	(	(	PUNCT
fcis-23824	19	3	ae	ae	PROPN
fcis-23824	19	4	)	)	PUNCT
fcis-23824	19	5	effectively	effectively	ADV
fcis-23824	19	6	handles	handle	VERB
fcis-23824	19	7	missing	miss	VERB
fcis-23824	19	8	field	field	NOUN
fcis-23824	19	9	values	value	NOUN
fcis-23824	19	10	in	in	ADP
fcis-23824	19	11	car	car	NOUN
fcis-23824	19	12	interior	interior	ADJ
fcis-23824	19	13	theft	theft	NOUN
fcis-23824	19	14	case	case	NOUN
fcis-23824	19	15	data	datum	NOUN
fcis-23824	19	16	by	by	ADP
fcis-23824	19	17	compressing	compress	VERB
fcis-23824	19	18	the	the	DET
fcis-23824	19	19	input	input	NOUN
fcis-23824	19	20	data	datum	NOUN
fcis-23824	19	21	into	into	ADP
fcis-23824	19	22	a	a	DET
fcis-23824	19	23	low	low	ADJ
fcis-23824	19	24	-	-	PUNCT
fcis-23824	19	25	dimensional	dimensional	ADJ
fcis-23824	19	26	representation	representation	NOUN
fcis-23824	19	27	and	and	CCONJ
fcis-23824	19	28	then	then	ADV
fcis-23824	19	29	reconstructing	reconstruct	VERB
fcis-23824	19	30	the	the	DET
fcis-23824	19	31	original	original	ADJ
fcis-23824	19	32	data	datum	NOUN
fcis-23824	19	33	from	from	ADP
fcis-23824	19	34	this	this	DET
fcis-23824	19	35	low	low	ADJ
fcis-23824	19	36	-	-	PUNCT
fcis-23824	19	37	dimensional	dimensional	ADJ
fcis-23824	19	38	representation	representation	NOUN
fcis-23824	19	39	[	[	X
fcis-23824	19	40	6	6	NUM
fcis-23824	19	41	]	]	PUNCT
fcis-23824	19	42	.	.	PUNCT
fcis-23824	20	1	by	by	ADP
fcis-23824	20	2	combining	combine	VERB
fcis-23824	20	3	the	the	DET
fcis-23824	20	4	spatial	spatial	ADJ
fcis-23824	20	5	feature	feature	NOUN
fcis-23824	20	6	extraction	extraction	NOUN
fcis-23824	20	7	capabilities	capability	NOUN
fcis-23824	20	8	of	of	ADP
fcis-23824	20	9	rep	rep	PROPN
fcis-23824	20	10	-	-	PROPN
fcis-23824	20	11	cnn	cnn	PROPN
fcis-23824	20	12	,	,	PUNCT
fcis-23824	20	13	the	the	DET
fcis-23824	20	14	temporal	temporal	ADJ
fcis-23824	20	15	dependency	dependency	NOUN
fcis-23824	20	16	modeling	modeling	NOUN
fcis-23824	20	17	capabilities	capability	NOUN
fcis-23824	20	18	of	of	ADP
fcis-23824	20	19	rnn	rnn	NOUN
fcis-23824	20	20	,	,	PUNCT
fcis-23824	20	21	and	and	CCONJ
fcis-23824	20	22	the	the	DET
fcis-23824	20	23	data	datum	NOUN
fcis-23824	20	24	reconstruction	reconstruction	NOUN
fcis-23824	20	25	ability	ability	NOUN
fcis-23824	20	26	of	of	ADP
fcis-23824	20	27	ae	ae	PROPN
fcis-23824	20	28	,	,	PUNCT
fcis-23824	20	29	repconv	repconv	ADJ
fcis-23824	20	30	-	-	PUNCT
fcis-23824	20	31	rnn	rnn	PROPN
fcis-23824	20	32	-	-	PUNCT
fcis-23824	20	33	ae	ae	PROPN
fcis-23824	20	34	effectively	effectively	ADV
fcis-23824	20	35	addresses	address	VERB
fcis-23824	20	36	the	the	DET
fcis-23824	20	37	issue	issue	NOUN
fcis-23824	20	38	of	of	ADP
fcis-23824	20	39	missing	miss	VERB
fcis-23824	20	40	data	datum	NOUN
fcis-23824	20	41	in	in	ADP
fcis-23824	20	42	car	car	NOUN
fcis-23824	20	43	interior	interior	ADJ
fcis-23824	20	44	theft	theft	NOUN
fcis-23824	20	45	cases	case	NOUN
fcis-23824	20	46	.	.	PUNCT
fcis-23824	21	1	2	2	X
fcis-23824	21	2	.	.	X
fcis-23824	21	3	repconv	repconv	NOUN
fcis-23824	21	4	-	-	PUNCT
fcis-23824	21	5	rnn	rnn	PROPN
fcis-23824	21	6	-	-	PUNCT
fcis-23824	21	7	ae	ae	PROPN
fcis-23824	21	8	data	data	PROPN
fcis-23824	21	9	completion	completion	PROPN
fcis-23824	21	10	model	model	PROPN
fcis-23824	21	11	repconv	repconv	PROPN
fcis-23824	21	12	-	-	PUNCT
fcis-23824	21	13	rnn	rnn	PROPN
fcis-23824	21	14	-	-	PUNCT
fcis-23824	21	15	ae	ae	PROPN
fcis-23824	21	16	consists	consist	VERB
fcis-23824	21	17	of	of	ADP
fcis-23824	21	18	an	an	DET
fcis-23824	21	19	encoder	encoder	NOUN
fcis-23824	21	20	and	and	CCONJ
fcis-23824	21	21	a	a	DET
fcis-23824	21	22	decoder	decoder	NOUN
fcis-23824	21	23	,	,	PUNCT
fcis-23824	21	24	which	which	PRON
fcis-23824	21	25	can	can	AUX
fcis-23824	21	26	complete	complete	VERB
fcis-23824	21	27	the	the	DET
fcis-23824	21	28	missing	miss	VERB
fcis-23824	21	29	data	datum	NOUN
fcis-23824	21	30	in	in	ADP
fcis-23824	21	31	existing	exist	VERB
fcis-23824	21	32	car	car	NOUN
fcis-23824	21	33	interior	interior	ADJ
fcis-23824	21	34	theft	theft	NOUN
fcis-23824	21	35	case	case	NOUN
fcis-23824	21	36	data	datum	NOUN
fcis-23824	21	37	containing	contain	VERB
fcis-23824	21	38	missing	miss	VERB
fcis-23824	21	39	field	field	NOUN
fcis-23824	21	40	values	value	NOUN
fcis-23824	21	41	,	,	PUNCT
fcis-23824	21	42	resulting	result	VERB
fcis-23824	21	43	in	in	ADP
fcis-23824	21	44	complete	complete	ADJ
fcis-23824	21	45	car	car	NOUN
fcis-23824	21	46	interior	interior	ADJ
fcis-23824	21	47	theft	theft	NOUN
fcis-23824	21	48	case	case	NOUN
fcis-23824	21	49	data	datum	NOUN
fcis-23824	21	50	.	.	PUNCT
fcis-23824	22	1	suppose	suppose	VERB
fcis-23824	22	2	the	the	DET
fcis-23824	22	3	input	input	NOUN
fcis-23824	22	4	data	data	NOUN
fcis-23824	22	5	is	be	AUX
fcis-23824	22	6	.	.	PUNCT
fcis-23824	23	1	here	here	ADV
fcis-23824	23	2	,	,	PUNCT
fcis-23824	23	3	,	,	PUNCT
fcis-23824	23	4	,	,	PUNCT
fcis-23824	23	5	,	,	PUNCT
fcis-23824	23	6	,	,	PUNCT
fcis-23824	23	7	…	…	PUNCT
fcis-23824	23	8	,	,	PUNCT
fcis-23824	23	9	,	,	PUNCT
fcis-23824	23	10	represents	represent	VERB
fcis-23824	23	11	the	the	DET
fcis-23824	23	12	-th	-th	ADJ
fcis-23824	23	13	car	car	NOUN
fcis-23824	23	14	interior	interior	ADJ
fcis-23824	23	15	theft	theft	NOUN
fcis-23824	23	16	case	case	NOUN
fcis-23824	23	17	record	record	NOUN
fcis-23824	23	18	in	in	ADP
fcis-23824	23	19	the	the	DET
fcis-23824	23	20	input	input	NOUN
fcis-23824	23	21	data	datum	NOUN
fcis-23824	23	22	,	,	PUNCT
fcis-23824	23	23	which	which	PRON
fcis-23824	23	24	contains	contain	VERB
fcis-23824	23	25	field	field	NOUN
fcis-23824	23	26	values	value	NOUN
fcis-23824	23	27	.	.	PUNCT
fcis-23824	24	1	represents	represent	VERB
fcis-23824	24	2	the	the	DET
fcis-23824	24	3	number	number	NOUN
fcis-23824	24	4	of	of	ADP
fcis-23824	24	5	car	car	NOUN
fcis-23824	24	6	interior	interior	ADJ
fcis-23824	24	7	theft	theft	NOUN
fcis-23824	24	8	case	case	NOUN
fcis-23824	24	9	records	record	VERB
fcis-23824	24	10	in	in	ADP
fcis-23824	24	11	.	.	PUNCT
fcis-23824	25	1	for	for	ADP
fcis-23824	25	2	a	a	DET
fcis-23824	25	3	certain	certain	ADJ
fcis-23824	25	4	field	field	NOUN
fcis-23824	25	5	value	value	NOUN
fcis-23824	25	6	,	,	PUNCT
fcis-23824	25	7	in	in	ADP
fcis-23824	25	8	a	a	DET
fcis-23824	25	9	car	car	NOUN
fcis-23824	25	10	interior	interior	ADJ
fcis-23824	25	11	theft	theft	NOUN
fcis-23824	25	12	case	case	NOUN
fcis-23824	25	13	record	record	NOUN
fcis-23824	25	14	,	,	PUNCT
fcis-23824	25	15	there	there	PRON
fcis-23824	25	16	may	may	AUX
fcis-23824	25	17	be	be	AUX
fcis-23824	25	18	missing	miss	VERB
fcis-23824	25	19	data	datum	NOUN
fcis-23824	25	20	,	,	PUNCT
fcis-23824	25	21	where	where	SCONJ
fcis-23824	25	22	∈	∈	PROPN
fcis-23824	25	23	1,2	1,2	NUM
fcis-23824	25	24	,	,	PUNCT
fcis-23824	25	25	…	…	PUNCT
fcis-23824	25	26	,	,	PUNCT
fcis-23824	25	27	.	.	PUNCT
fcis-23824	26	1	2.1	2.1	NUM
fcis-23824	26	2	.	.	PUNCT
fcis-23824	26	3	encoder	encoder	NOUN
fcis-23824	26	4	part	part	NOUN
fcis-23824	26	5	of	of	ADP
fcis-23824	26	6	repconv	repconv	NOUN
fcis-23824	26	7	-	-	PUNCT
fcis-23824	26	8	rnn	rnn	NOUN
fcis-23824	26	9	-	-	PUNCT
fcis-23824	26	10	ae	ae	PROPN
fcis-23824	26	11	the	the	DET
fcis-23824	26	12	encoder	encoder	NOUN
fcis-23824	26	13	of	of	ADP
fcis-23824	26	14	repconv	repconv	NOUN
fcis-23824	26	15	-	-	PUNCT
fcis-23824	26	16	rnn	rnn	PROPN
fcis-23824	26	17	-	-	PUNCT
fcis-23824	26	18	ae	ae	PROPN
fcis-23824	26	19	consists	consist	VERB
fcis-23824	26	20	of	of	ADP
fcis-23824	26	21	three	three	NUM
fcis-23824	26	22	layers	layer	NOUN
fcis-23824	26	23	of	of	ADP
fcis-23824	26	24	repconvblock	repconvblock	NOUN
fcis-23824	26	25	and	and	CCONJ
fcis-23824	26	26	four	four	NUM
fcis-23824	26	27	layers	layer	NOUN
fcis-23824	26	28	of	of	ADP
fcis-23824	26	29	rnn	rnn	PROPN
fcis-23824	26	30	.	.	PUNCT
fcis-23824	27	1	during	during	ADP
fcis-23824	27	2	the	the	DET
fcis-23824	27	3	encoding	encoding	NOUN
fcis-23824	27	4	process	process	NOUN
fcis-23824	27	5	,	,	PUNCT
fcis-23824	27	6	three	three	NUM
fcis-23824	27	7	layers	layer	NOUN
fcis-23824	27	8	of	of	ADP
fcis-23824	27	9	repconvblock	repconvblock	NOUN
fcis-23824	27	10	are	be	AUX
fcis-23824	27	11	first	first	ADV
fcis-23824	27	12	used	use	VERB
fcis-23824	27	13	to	to	PART
fcis-23824	27	14	extract	extract	VERB
fcis-23824	27	15	the	the	DET
fcis-23824	27	16	local	local	ADJ
fcis-23824	27	17	features	feature	NOUN
fcis-23824	27	18	of	of	ADP
fcis-23824	27	19	car	car	NOUN
fcis-23824	27	20	interior	interior	ADJ
fcis-23824	27	21	theft	theft	NOUN
fcis-23824	27	22	case	case	NOUN
fcis-23824	27	23	data	datum	NOUN
fcis-23824	27	24	to	to	PART
fcis-23824	27	25	capture	capture	VERB
fcis-23824	27	26	the	the	DET
fcis-23824	27	27	spatial	spatial	ADJ
fcis-23824	27	28	distribution	distribution	NOUN
fcis-23824	27	29	characteristics	characteristic	NOUN
fcis-23824	27	30	of	of	ADP
fcis-23824	27	31	car	car	NOUN
fcis-23824	27	32	interior	interior	ADJ
fcis-23824	27	33	theft	theft	NOUN
fcis-23824	27	34	cases	case	NOUN
fcis-23824	27	35	.	.	PUNCT
fcis-23824	28	1	the	the	DET
fcis-23824	28	2	output	output	NOUN
fcis-23824	28	3	features	feature	NOUN
fcis-23824	28	4	of	of	ADP
fcis-23824	28	5	each	each	DET
fcis-23824	28	6	repconvblock	repconvblock	NOUN
fcis-23824	28	7	layer	layer	NOUN
fcis-23824	28	8	are	be	AUX
fcis-23824	28	9	used	use	VERB
fcis-23824	28	10	as	as	ADP
fcis-23824	28	11	the	the	DET
fcis-23824	28	12	input	input	NOUN
fcis-23824	28	13	for	for	ADP
fcis-23824	28	14	the	the	DET
fcis-23824	28	15	next	next	ADJ
fcis-23824	28	16	repconvblock	repconvblock	NOUN
fcis-23824	28	17	layer	layer	NOUN
fcis-23824	28	18	,	,	PUNCT
fcis-23824	28	19	as	as	SCONJ
fcis-23824	28	20	follows	follow	VERB
fcis-23824	28	21	:	:	PUNCT
fcis-23824	28	22	repconvblock	repconvblock	NOUN
fcis-23824	28	23	(	(	PUNCT
fcis-23824	28	24	1	1	NUM
fcis-23824	28	25	)	)	PUNCT
fcis-23824	28	26	where	where	SCONJ
fcis-23824	28	27	,	,	PUNCT
fcis-23824	28	28	representing	represent	VERB
fcis-23824	28	29	the	the	DET
fcis-23824	28	30	input	input	NOUN
fcis-23824	28	31	of	of	ADP
fcis-23824	28	32	the	the	DET
fcis-23824	28	33	initial	initial	ADJ
fcis-23824	28	34	first	first	ADJ
fcis-23824	28	35	repconvblock	repconvblock	NOUN
fcis-23824	28	36	layer	layer	NOUN
fcis-23824	28	37	.	.	PUNCT
fcis-23824	29	1	represents	represent	VERB
fcis-23824	29	2	the	the	DET
fcis-23824	29	3	output	output	NOUN
fcis-23824	29	4	of	of	ADP
fcis-23824	29	5	the	the	DET
fcis-23824	29	6	1	1	NUM
fcis-23824	29	7	-th	-th	NOUN
fcis-23824	29	8	repconvblock	repconvblock	NOUN
fcis-23824	29	9	layer	layer	NOUN
fcis-23824	29	10	.	.	PUNCT
fcis-23824	30	1	for	for	ADP
fcis-23824	30	2	the	the	DET
fcis-23824	30	3	-th	-th	ADJ
fcis-23824	30	4	repconvblock	repconvblock	NOUN
fcis-23824	30	5	layer	layer	NOUN
fcis-23824	30	6	,	,	PUNCT
fcis-23824	30	7	different	different	ADJ
fcis-23824	30	8	network	network	NOUN
fcis-23824	30	9	structures	structure	NOUN
fcis-23824	30	10	are	be	AUX
fcis-23824	30	11	used	use	VERB
fcis-23824	30	12	during	during	ADP
fcis-23824	30	13	training	training	NOUN
fcis-23824	30	14	and	and	CCONJ
fcis-23824	30	15	inference	inference	NOUN
fcis-23824	30	16	to	to	PART
fcis-23824	30	17	improve	improve	VERB
fcis-23824	30	18	the	the	DET
fcis-23824	30	19	efficiency	efficiency	NOUN
fcis-23824	30	20	of	of	ADP
fcis-23824	30	21	the	the	DET
fcis-23824	30	22	network	network	NOUN
fcis-23824	30	23	.	.	PUNCT
fcis-23824	31	1	specifically	specifically	ADV
fcis-23824	31	2	,	,	PUNCT
fcis-23824	31	3	the	the	DET
fcis-23824	31	4	calculation	calculation	NOUN
fcis-23824	31	5	process	process	NOUN
fcis-23824	31	6	during	during	ADP
fcis-23824	31	7	the	the	DET
fcis-23824	31	8	training	training	NOUN
fcis-23824	31	9	phase	phase	NOUN
fcis-23824	31	10	is	be	AUX
fcis-23824	31	11	as	as	SCONJ
fcis-23824	31	12	follows	follow	VERB
fcis-23824	31	13	:	:	PUNCT
fcis-23824	31	14	the	the	DET
fcis-23824	31	15	3	3	NUM
fcis-23824	31	16	3	3	NUM
fcis-23824	31	17	convolution	convolution	NOUN
fcis-23824	31	18	branch	branch	NOUN
fcis-23824	31	19	extracts	extract	NOUN
fcis-23824	31	20	local	local	ADJ
fcis-23824	31	21	features	feature	NOUN
fcis-23824	31	22	,	,	PUNCT
fcis-23824	31	23	and	and	CCONJ
fcis-23824	31	24	the	the	DET
fcis-23824	31	25	calculation	calculation	NOUN
fcis-23824	31	26	formula	formula	NOUN
fcis-23824	31	27	is	be	AUX
fcis-23824	31	28	as	as	SCONJ
fcis-23824	31	29	follows	follow	VERB
fcis-23824	31	30	:	:	PUNCT
fcis-23824	31	31	,	,	PUNCT
fcis-23824	31	32	∑	∑	ADP
fcis-23824	31	33	  	  	SPACE
fcis-23824	31	34	∑	∑	ADV
fcis-23824	31	35	  	  	SPACE
fcis-23824	31	36	conv1	conv1	NOUN
fcis-23824	31	37	,	,	PUNCT
fcis-23824	31	38	⋅	⋅	PROPN
fcis-23824	31	39	,	,	PUNCT
fcis-23824	31	40	conv1	conv1	PROPN
fcis-23824	31	41	,	,	PUNCT
fcis-23824	31	42	(	(	PUNCT
fcis-23824	31	43	2	2	NUM
fcis-23824	31	44	)	)	PUNCT
fcis-23824	31	45	2	2	NUM
fcis-23824	31	46	where	where	SCONJ
fcis-23824	31	47	conv1	conv1	NOUN
fcis-23824	31	48	,	,	PUNCT
fcis-23824	31	49	represents	represent	VERB
fcis-23824	31	50	the	the	DET
fcis-23824	31	51	output	output	NOUN
fcis-23824	31	52	feature	feature	NOUN
fcis-23824	31	53	of	of	ADP
fcis-23824	31	54	the	the	DET
fcis-23824	31	55	3	3	NUM
fcis-23824	31	56	3	3	NUM
fcis-23824	31	57	convolution	convolution	NOUN
fcis-23824	31	58	branch	branch	NOUN
fcis-23824	31	59	at	at	ADP
fcis-23824	31	60	position	position	NOUN
fcis-23824	31	61	in	in	ADP
fcis-23824	31	62	the	the	DET
fcis-23824	31	63	input	input	NOUN
fcis-23824	31	64	sequence	sequence	NOUN
fcis-23824	31	65	and	and	CCONJ
fcis-23824	31	66	feature	feature	NOUN
fcis-23824	31	67	channel	channel	NOUN
fcis-23824	31	68	.	.	PUNCT
fcis-23824	32	1	,	,	PUNCT
fcis-23824	32	2	represents	represent	VERB
fcis-23824	32	3	the	the	DET
fcis-23824	32	4	output	output	NOUN
fcis-23824	32	5	feature	feature	NOUN
fcis-23824	32	6	of	of	ADP
fcis-23824	32	7	the	the	DET
fcis-23824	32	8	1	1	NUM
fcis-23824	32	9	-th	-th	NOUN
fcis-23824	32	10	repconvblock	repconvblock	NOUN
fcis-23824	32	11	layer	layer	NOUN
fcis-23824	32	12	at	at	ADP
fcis-23824	32	13	channel	channel	NOUN
fcis-23824	32	14	and	and	CCONJ
fcis-23824	32	15	position	position	NOUN
fcis-23824	32	16	.	.	PUNCT
fcis-23824	33	1	conv	conv	ADJ
fcis-23824	33	2	,	,	PUNCT
fcis-23824	33	3	represents	represent	VERB
fcis-23824	33	4	the	the	DET
fcis-23824	33	5	weight	weight	NOUN
fcis-23824	33	6	of	of	ADP
fcis-23824	33	7	the	the	DET
fcis-23824	33	8	3	3	NUM
fcis-23824	33	9	3	3	NUM
fcis-23824	33	10	convolution	convolution	NOUN
fcis-23824	33	11	kernel	kernel	NOUN
fcis-23824	33	12	.	.	PUNCT
fcis-23824	34	1	conv	conv	PROPN
fcis-23824	34	2	,	,	PUNCT
fcis-23824	34	3	represents	represent	VERB
fcis-23824	34	4	the	the	DET
fcis-23824	34	5	bias	bias	NOUN
fcis-23824	34	6	of	of	ADP
fcis-23824	34	7	the	the	DET
fcis-23824	34	8	3	3	NUM
fcis-23824	34	9	3	3	NUM
fcis-23824	34	10	convolution	convolution	NOUN
fcis-23824	34	11	kernel	kernel	NOUN
fcis-23824	34	12	.	.	PUNCT
fcis-23824	35	1	represents	represent	VERB
fcis-23824	35	2	the	the	DET
fcis-23824	35	3	number	number	NOUN
fcis-23824	35	4	of	of	ADP
fcis-23824	35	5	input	input	NOUN
fcis-23824	35	6	channels	channel	NOUN
fcis-23824	35	7	.	.	PUNCT
fcis-23824	36	1	represents	represent	VERB
fcis-23824	36	2	the	the	DET
fcis-23824	36	3	offset	offset	NOUN
fcis-23824	36	4	of	of	ADP
fcis-23824	36	5	the	the	DET
fcis-23824	36	6	convolution	convolution	NOUN
fcis-23824	36	7	kernel	kernel	NOUN
fcis-23824	36	8	.	.	PUNCT
fcis-23824	37	1	represents	represent	VERB
fcis-23824	37	2	the	the	DET
fcis-23824	37	3	number	number	NOUN
fcis-23824	37	4	of	of	ADP
fcis-23824	37	5	output	output	NOUN
fcis-23824	37	6	feature	feature	NOUN
fcis-23824	37	7	channels	channel	NOUN
fcis-23824	37	8	.	.	PUNCT
fcis-23824	38	1	represents	represent	VERB
fcis-23824	38	2	the	the	DET
fcis-23824	38	3	activation	activation	NOUN
fcis-23824	38	4	function	function	NOUN
fcis-23824	38	5	(	(	PUNCT
fcis-23824	38	6	e.g.	e.g.	ADV
fcis-23824	38	7	,	,	PUNCT
fcis-23824	38	8	relu	relu	NOUN
fcis-23824	38	9	activation	activation	NOUN
fcis-23824	38	10	function	function	NOUN
fcis-23824	38	11	)	)	PUNCT
fcis-23824	38	12	.	.	PUNCT
fcis-23824	39	1	represents	represent	VERB
fcis-23824	39	2	the	the	DET
fcis-23824	39	3	time	time	NOUN
fcis-23824	39	4	step	step	NOUN
fcis-23824	39	5	position	position	NOUN
fcis-23824	39	6	in	in	ADP
fcis-23824	39	7	the	the	DET
fcis-23824	39	8	input	input	NOUN
fcis-23824	39	9	sequence	sequence	NOUN
fcis-23824	39	10	,	,	PUNCT
fcis-23824	39	11	with	with	ADP
fcis-23824	39	12	each	each	DET
fcis-23824	39	13	car	car	NOUN
fcis-23824	39	14	interior	interior	ADJ
fcis-23824	39	15	theft	theft	NOUN
fcis-23824	39	16	case	case	NOUN
fcis-23824	39	17	record	record	NOUN
fcis-23824	39	18	corresponding	correspond	VERB
fcis-23824	39	19	to	to	ADP
fcis-23824	39	20	a	a	DET
fcis-23824	39	21	time	time	NOUN
fcis-23824	39	22	step	step	NOUN
fcis-23824	39	23	.	.	PUNCT
fcis-23824	40	1	the	the	DET
fcis-23824	40	2	1	1	NUM
fcis-23824	40	3	1	1	NUM
fcis-23824	40	4	convolution	convolution	NOUN
fcis-23824	40	5	branch	branch	NOUN
fcis-23824	40	6	reduces	reduce	VERB
fcis-23824	40	7	the	the	DET
fcis-23824	40	8	number	number	NOUN
fcis-23824	40	9	of	of	ADP
fcis-23824	40	10	parameters	parameter	NOUN
fcis-23824	40	11	and	and	CCONJ
fcis-23824	40	12	fuses	fuse	NOUN
fcis-23824	40	13	features	feature	NOUN
fcis-23824	40	14	,	,	PUNCT
fcis-23824	40	15	and	and	CCONJ
fcis-23824	40	16	the	the	DET
fcis-23824	40	17	calculation	calculation	NOUN
fcis-23824	40	18	formula	formula	NOUN
fcis-23824	40	19	is	be	AUX
fcis-23824	40	20	as	as	SCONJ
fcis-23824	40	21	follows	follow	VERB
fcis-23824	40	22	:	:	PUNCT
fcis-23824	40	23	,	,	PUNCT
fcis-23824	40	24	∑	∑	ADP
fcis-23824	40	25	  	  	SPACE
fcis-23824	40	26	conv2	conv2	PROPN
fcis-23824	40	27	,	,	PUNCT
fcis-23824	40	28	⋅	⋅	PROPN
fcis-23824	40	29	,	,	PUNCT
fcis-23824	40	30	conv2	conv2	PROPN
fcis-23824	40	31	,	,	PUNCT
fcis-23824	40	32	(	(	PUNCT
fcis-23824	40	33	3	3	X
fcis-23824	40	34	)	)	PUNCT
fcis-23824	40	35	where	where	SCONJ
fcis-23824	40	36	conv2	conv2	NOUN
fcis-23824	40	37	,	,	PUNCT
fcis-23824	40	38	represents	represent	VERB
fcis-23824	40	39	the	the	DET
fcis-23824	40	40	output	output	NOUN
fcis-23824	40	41	feature	feature	NOUN
fcis-23824	40	42	of	of	ADP
fcis-23824	40	43	the	the	DET
fcis-23824	40	44	1	1	NUM
fcis-23824	40	45	1	1	NUM
fcis-23824	40	46	convolution	convolution	NOUN
fcis-23824	40	47	branch	branch	NOUN
fcis-23824	40	48	at	at	ADP
fcis-23824	40	49	position	position	NOUN
fcis-23824	40	50	in	in	ADP
fcis-23824	40	51	the	the	DET
fcis-23824	40	52	input	input	NOUN
fcis-23824	40	53	sequence	sequence	NOUN
fcis-23824	40	54	and	and	CCONJ
fcis-23824	40	55	feature	feature	NOUN
fcis-23824	40	56	channel	channel	NOUN
fcis-23824	40	57	.	.	PUNCT
fcis-23824	41	1	,	,	PUNCT
fcis-23824	41	2	represents	represent	VERB
fcis-23824	41	3	the	the	DET
fcis-23824	41	4	output	output	NOUN
fcis-23824	41	5	feature	feature	NOUN
fcis-23824	41	6	of	of	ADP
fcis-23824	41	7	the	the	DET
fcis-23824	41	8	1	1	NUM
fcis-23824	41	9	-th	-th	NOUN
fcis-23824	41	10	repconvblock	repconvblock	NOUN
fcis-23824	41	11	layer	layer	NOUN
fcis-23824	41	12	at	at	ADP
fcis-23824	41	13	channel	channel	NOUN
fcis-23824	41	14	and	and	CCONJ
fcis-23824	41	15	position	position	NOUN
fcis-23824	41	16	.	.	PUNCT
fcis-23824	42	1	conv	conv	ADJ
fcis-23824	42	2	,	,	PUNCT
fcis-23824	42	3	represents	represent	VERB
fcis-23824	42	4	the	the	DET
fcis-23824	42	5	weight	weight	NOUN
fcis-23824	42	6	of	of	ADP
fcis-23824	42	7	the	the	DET
fcis-23824	42	8	1	1	NUM
fcis-23824	42	9	1	1	NUM
fcis-23824	42	10	convolution	convolution	NOUN
fcis-23824	42	11	kernel	kernel	NOUN
fcis-23824	42	12	.	.	PUNCT
fcis-23824	43	1	conv	conv	PROPN
fcis-23824	43	2	,	,	PUNCT
fcis-23824	43	3	represents	represent	VERB
fcis-23824	43	4	the	the	DET
fcis-23824	43	5	bias	bias	NOUN
fcis-23824	43	6	of	of	ADP
fcis-23824	43	7	the	the	DET
fcis-23824	43	8	1	1	NUM
fcis-23824	43	9	1	1	NUM
fcis-23824	43	10	convolution	convolution	NOUN
fcis-23824	43	11	kernel	kernel	NOUN
fcis-23824	43	12	.	.	PUNCT
fcis-23824	44	1	represents	represent	VERB
fcis-23824	44	2	the	the	DET
fcis-23824	44	3	number	number	NOUN
fcis-23824	44	4	of	of	ADP
fcis-23824	44	5	input	input	NOUN
fcis-23824	44	6	channels	channel	NOUN
fcis-23824	44	7	.	.	PUNCT
fcis-23824	45	1	represents	represent	VERB
fcis-23824	45	2	the	the	DET
fcis-23824	45	3	number	number	NOUN
fcis-23824	45	4	of	of	ADP
fcis-23824	45	5	output	output	NOUN
fcis-23824	45	6	feature	feature	NOUN
fcis-23824	45	7	channels	channel	NOUN
fcis-23824	45	8	.	.	PUNCT
fcis-23824	46	1	represents	represent	VERB
fcis-23824	46	2	the	the	DET
fcis-23824	46	3	activation	activation	NOUN
fcis-23824	46	4	function	function	NOUN
fcis-23824	46	5	(	(	PUNCT
fcis-23824	46	6	e.g.	e.g.	ADV
fcis-23824	46	7	,	,	PUNCT
fcis-23824	46	8	relu	relu	NOUN
fcis-23824	46	9	activation	activation	NOUN
fcis-23824	46	10	function	function	NOUN
fcis-23824	46	11	)	)	PUNCT
fcis-23824	46	12	.	.	PUNCT
fcis-23824	47	1	represents	represent	VERB
fcis-23824	47	2	the	the	DET
fcis-23824	47	3	time	time	NOUN
fcis-23824	47	4	step	step	NOUN
fcis-23824	47	5	position	position	NOUN
fcis-23824	47	6	in	in	ADP
fcis-23824	47	7	the	the	DET
fcis-23824	47	8	input	input	NOUN
fcis-23824	47	9	sequence	sequence	NOUN
fcis-23824	47	10	,	,	PUNCT
fcis-23824	47	11	with	with	ADP
fcis-23824	47	12	each	each	DET
fcis-23824	47	13	car	car	NOUN
fcis-23824	47	14	interior	interior	ADJ
fcis-23824	47	15	theft	theft	NOUN
fcis-23824	47	16	case	case	NOUN
fcis-23824	47	17	record	record	NOUN
fcis-23824	47	18	corresponding	correspond	VERB
fcis-23824	47	19	to	to	ADP
fcis-23824	47	20	a	a	DET
fcis-23824	47	21	time	time	NOUN
fcis-23824	47	22	step	step	NOUN
fcis-23824	47	23	.	.	PUNCT
fcis-23824	48	1	the	the	DET
fcis-23824	48	2	identity	identity	NOUN
fcis-23824	48	3	mapping	mapping	NOUN
fcis-23824	48	4	branch	branch	NOUN
fcis-23824	48	5	directly	directly	ADV
fcis-23824	48	6	transmits	transmit	VERB
fcis-23824	48	7	information	information	NOUN
fcis-23824	48	8	,	,	PUNCT
fcis-23824	48	9	and	and	CCONJ
fcis-23824	48	10	the	the	DET
fcis-23824	48	11	calculation	calculation	NOUN
fcis-23824	48	12	formula	formula	NOUN
fcis-23824	48	13	is	be	AUX
fcis-23824	48	14	as	as	SCONJ
fcis-23824	48	15	follows	follow	VERB
fcis-23824	48	16	:	:	PUNCT
fcis-23824	48	17	,	,	PUNCT
fcis-23824	48	18	,	,	PUNCT
fcis-23824	48	19	(	(	PUNCT
fcis-23824	48	20	4	4	X
fcis-23824	48	21	)	)	PUNCT
fcis-23824	48	22	where	where	SCONJ
fcis-23824	48	23	,	,	PUNCT
fcis-23824	48	24	represents	represent	VERB
fcis-23824	48	25	the	the	DET
fcis-23824	48	26	output	output	NOUN
fcis-23824	48	27	feature	feature	NOUN
fcis-23824	48	28	of	of	ADP
fcis-23824	48	29	the	the	DET
fcis-23824	48	30	identity	identity	NOUN
fcis-23824	48	31	mapping	mapping	NOUN
fcis-23824	48	32	branch	branch	NOUN
fcis-23824	48	33	at	at	ADP
fcis-23824	48	34	position	position	NOUN
fcis-23824	48	35	in	in	ADP
fcis-23824	48	36	the	the	DET
fcis-23824	48	37	input	input	NOUN
fcis-23824	48	38	sequence	sequence	NOUN
fcis-23824	48	39	and	and	CCONJ
fcis-23824	48	40	feature	feature	NOUN
fcis-23824	48	41	channel	channel	NOUN
fcis-23824	48	42	.	.	PUNCT
fcis-23824	49	1	,	,	PUNCT
fcis-23824	49	2	represents	represent	VERB
fcis-23824	49	3	the	the	DET
fcis-23824	49	4	output	output	NOUN
fcis-23824	49	5	feature	feature	NOUN
fcis-23824	49	6	of	of	ADP
fcis-23824	49	7	the	the	DET
fcis-23824	49	8	1	1	NUM
fcis-23824	49	9	-th	-th	NOUN
fcis-23824	49	10	repconvblock	repconvblock	NOUN
fcis-23824	49	11	layer	layer	NOUN
fcis-23824	49	12	at	at	ADP
fcis-23824	49	13	channel	channel	NOUN
fcis-23824	49	14	and	and	CCONJ
fcis-23824	49	15	position	position	NOUN
fcis-23824	49	16	.	.	PUNCT
fcis-23824	50	1	represents	represent	VERB
fcis-23824	50	2	the	the	DET
fcis-23824	50	3	time	time	NOUN
fcis-23824	50	4	step	step	NOUN
fcis-23824	50	5	position	position	NOUN
fcis-23824	50	6	in	in	ADP
fcis-23824	50	7	the	the	DET
fcis-23824	50	8	input	input	NOUN
fcis-23824	50	9	sequence	sequence	NOUN
fcis-23824	50	10	,	,	PUNCT
fcis-23824	50	11	with	with	ADP
fcis-23824	50	12	each	each	DET
fcis-23824	50	13	car	car	NOUN
fcis-23824	50	14	interior	interior	ADJ
fcis-23824	50	15	theft	theft	NOUN
fcis-23824	50	16	case	case	NOUN
fcis-23824	50	17	record	record	NOUN
fcis-23824	50	18	corresponding	correspond	VERB
fcis-23824	50	19	to	to	ADP
fcis-23824	50	20	a	a	DET
fcis-23824	50	21	time	time	NOUN
fcis-23824	50	22	step	step	NOUN
fcis-23824	50	23	.	.	PUNCT
fcis-23824	51	1	the	the	DET
fcis-23824	51	2	outputs	output	NOUN
fcis-23824	51	3	of	of	ADP
fcis-23824	51	4	each	each	DET
fcis-23824	51	5	branch	branch	NOUN
fcis-23824	51	6	are	be	AUX
fcis-23824	51	7	finally	finally	ADV
fcis-23824	51	8	accumulated	accumulate	VERB
fcis-23824	51	9	,	,	PUNCT
fcis-23824	51	10	and	and	CCONJ
fcis-23824	51	11	the	the	DET
fcis-23824	51	12	specific	specific	ADJ
fcis-23824	51	13	calculation	calculation	NOUN
fcis-23824	51	14	formula	formula	NOUN
fcis-23824	51	15	is	be	AUX
fcis-23824	51	16	as	as	SCONJ
fcis-23824	51	17	follows	follow	VERB
fcis-23824	51	18	:	:	PUNCT
fcis-23824	51	19	,	,	PUNCT
fcis-23824	51	20	,	,	PUNCT
fcis-23824	51	21	,	,	PUNCT
fcis-23824	51	22	(	(	PUNCT
fcis-23824	51	23	5	5	X
fcis-23824	51	24	)	)	PUNCT
fcis-23824	51	25	finally	finally	ADV
fcis-23824	51	26	,	,	PUNCT
fcis-23824	51	27	the	the	DET
fcis-23824	51	28	above	above	ADJ
fcis-23824	51	29	formula	formula	NOUN
fcis-23824	51	30	is	be	AUX
fcis-23824	51	31	applied	apply	VERB
fcis-23824	51	32	to	to	ADP
fcis-23824	51	33	all	all	DET
fcis-23824	51	34	time	time	NOUN
fcis-23824	51	35	steps	step	NOUN
fcis-23824	51	36	and	and	CCONJ
fcis-23824	51	37	feature	feature	NOUN
fcis-23824	51	38	channels	channel	NOUN
fcis-23824	51	39	of	of	ADP
fcis-23824	51	40	the	the	DET
fcis-23824	51	41	entire	entire	ADJ
fcis-23824	51	42	input	input	NOUN
fcis-23824	51	43	sequence	sequence	NOUN
fcis-23824	51	44	,	,	PUNCT
fcis-23824	51	45	resulting	result	VERB
fcis-23824	51	46	in	in	ADP
fcis-23824	51	47	the	the	DET
fcis-23824	51	48	overall	overall	ADJ
fcis-23824	51	49	output	output	NOUN
fcis-23824	51	50	of	of	ADP
fcis-23824	51	51	the	the	DET
fcis-23824	51	52	-th	-th	NOUN
fcis-23824	51	53	repconvblock	repconvblock	NOUN
fcis-23824	51	54	layer	layer	NOUN
fcis-23824	51	55	during	during	ADP
fcis-23824	51	56	the	the	DET
fcis-23824	51	57	training	training	NOUN
fcis-23824	51	58	phase	phase	NOUN
fcis-23824	51	59	,	,	PUNCT
fcis-23824	51	60	as	as	SCONJ
fcis-23824	51	61	follows	follow	VERB
fcis-23824	51	62	:	:	PUNCT
fcis-23824	51	63	,	,	PUNCT
fcis-23824	51	64	∣	∣	PROPN
fcis-23824	51	65	1	1	NUM
fcis-23824	51	66	,	,	PUNCT
fcis-23824	51	67	…	…	PUNCT
fcis-23824	51	68	,	,	PUNCT
fcis-23824	51	69	;	;	PUNCT
fcis-23824	51	70	1	1	NUM
fcis-23824	51	71	,	,	PUNCT
fcis-23824	51	72	…	…	PUNCT
fcis-23824	51	73	,	,	PUNCT
fcis-23824	51	74	(	(	PUNCT
fcis-23824	51	75	6	6	NUM
fcis-23824	51	76	)	)	PUNCT
fcis-23824	51	77	where	where	SCONJ
fcis-23824	51	78	represents	represent	VERB
fcis-23824	51	79	the	the	DET
fcis-23824	51	80	total	total	ADJ
fcis-23824	51	81	number	number	NOUN
fcis-23824	51	82	of	of	ADP
fcis-23824	51	83	time	time	NOUN
fcis-23824	51	84	steps	step	NOUN
fcis-23824	51	85	,	,	PUNCT
fcis-23824	51	86	i.e.	i.e.	X
fcis-23824	51	87	,	,	PUNCT
fcis-23824	51	88	the	the	DET
fcis-23824	51	89	number	number	NOUN
fcis-23824	51	90	of	of	ADP
fcis-23824	51	91	data	datum	NOUN
fcis-23824	51	92	points	point	NOUN
fcis-23824	51	93	in	in	ADP
fcis-23824	51	94	the	the	DET
fcis-23824	51	95	time	time	NOUN
fcis-23824	51	96	series	series	NOUN
fcis-23824	51	97	,	,	PUNCT
fcis-23824	51	98	with	with	ADP
fcis-23824	51	99	each	each	DET
fcis-23824	51	100	car	car	NOUN
fcis-23824	51	101	interior	interior	ADJ
fcis-23824	51	102	theft	theft	NOUN
fcis-23824	51	103	case	case	NOUN
fcis-23824	51	104	record	record	NOUN
fcis-23824	51	105	corresponding	correspond	VERB
fcis-23824	51	106	to	to	ADP
fcis-23824	51	107	a	a	DET
fcis-23824	51	108	time	time	NOUN
fcis-23824	51	109	step	step	NOUN
fcis-23824	51	110	.	.	PUNCT
fcis-23824	52	1	represents	represent	VERB
fcis-23824	52	2	the	the	DET
fcis-23824	52	3	number	number	NOUN
fcis-23824	52	4	of	of	ADP
fcis-23824	52	5	output	output	NOUN
fcis-23824	52	6	feature	feature	NOUN
fcis-23824	52	7	channels	channel	NOUN
fcis-23824	52	8	.	.	PUNCT
fcis-23824	53	1	the	the	DET
fcis-23824	53	2	specific	specific	ADJ
fcis-23824	53	3	calculation	calculation	NOUN
fcis-23824	53	4	process	process	NOUN
fcis-23824	53	5	during	during	ADP
fcis-23824	53	6	the	the	DET
fcis-23824	53	7	inference	inference	NOUN
fcis-23824	53	8	phase	phase	NOUN
fcis-23824	53	9	is	be	AUX
fcis-23824	53	10	as	as	SCONJ
fcis-23824	53	11	follows	follow	VERB
fcis-23824	53	12	:	:	PUNCT
fcis-23824	53	13	the	the	DET
fcis-23824	53	14	convolution	convolution	NOUN
fcis-23824	53	15	kernels	kernel	NOUN
fcis-23824	53	16	are	be	AUX
fcis-23824	53	17	merged	merge	VERB
fcis-23824	53	18	,	,	PUNCT
fcis-23824	53	19	and	and	CCONJ
fcis-23824	53	20	the	the	DET
fcis-23824	53	21	calculation	calculation	NOUN
fcis-23824	53	22	formula	formula	NOUN
fcis-23824	53	23	is	be	AUX
fcis-23824	53	24	as	as	SCONJ
fcis-23824	53	25	follows	follow	VERB
fcis-23824	53	26	:	:	PUNCT
fcis-23824	53	27	conv	conv	ADJ
fcis-23824	53	28	,	,	PUNCT
fcis-23824	53	29	new	new	ADJ
fcis-23824	53	30	,	,	PUNCT
fcis-23824	53	31	conv1	conv1	NOUN
fcis-23824	53	32	,	,	PUNCT
fcis-23824	53	33	pad	pad	NOUN
fcis-23824	53	34	conv2	conv2	NOUN
fcis-23824	53	35	,	,	PUNCT
fcis-23824	53	36	(	(	PUNCT
fcis-23824	53	37	7	7	X
fcis-23824	53	38	)	)	PUNCT
fcis-23824	53	39	where	where	SCONJ
fcis-23824	53	40	conv	conv	ADJ
fcis-23824	53	41	,	,	PUNCT
fcis-23824	53	42	new	new	ADJ
fcis-23824	53	43	,	,	PUNCT
fcis-23824	53	44	represents	represent	VERB
fcis-23824	53	45	the	the	DET
fcis-23824	53	46	merged	merge	VERB
fcis-23824	53	47	convolution	convolution	NOUN
fcis-23824	53	48	kernel	kernel	PROPN
fcis-23824	53	49	weight	weight	PROPN
fcis-23824	53	50	.	.	PUNCT
fcis-23824	54	1	conv1	conv1	PROPN
fcis-23824	54	2	,	,	PUNCT
fcis-23824	54	3	represents	represent	VERB
fcis-23824	54	4	the	the	DET
fcis-23824	54	5	weight	weight	NOUN
fcis-23824	54	6	of	of	ADP
fcis-23824	54	7	the	the	DET
fcis-23824	54	8	3	3	NUM
fcis-23824	54	9	3	3	NUM
fcis-23824	54	10	convolution	convolution	NOUN
fcis-23824	54	11	kernel	kernel	NOUN
fcis-23824	54	12	.	.	PUNCT
fcis-23824	55	1	pad	pad	PROPN
fcis-23824	55	2	conv2	conv2	NOUN
fcis-23824	55	3	,	,	PUNCT
fcis-23824	55	4	represents	represent	VERB
fcis-23824	55	5	the	the	DET
fcis-23824	55	6	zero	zero	NUM
fcis-23824	55	7	-	-	PUNCT
fcis-23824	55	8	padding	padding	NOUN
fcis-23824	55	9	of	of	ADP
fcis-23824	55	10	the	the	DET
fcis-23824	55	11	1	1	NUM
fcis-23824	55	12	1	1	NUM
fcis-23824	55	13	convolution	convolution	NOUN
fcis-23824	55	14	kernel	kernel	NOUN
fcis-23824	55	15	weight	weight	PROPN
fcis-23824	55	16	conv2	conv2	PROPN
fcis-23824	55	17	,	,	PUNCT
fcis-23824	55	18	.	.	PUNCT
fcis-23824	56	1	represents	represent	VERB
fcis-23824	56	2	the	the	DET
fcis-23824	56	3	convolution	convolution	NOUN
fcis-23824	56	4	kernel	kernel	NOUN
fcis-23824	56	5	of	of	ADP
fcis-23824	56	6	the	the	DET
fcis-23824	56	7	identity	identity	NOUN
fcis-23824	56	8	mapping	mapping	NOUN
fcis-23824	56	9	(	(	PUNCT
fcis-23824	56	10	identity	identity	NOUN
fcis-23824	56	11	matrix	matrix	NOUN
fcis-23824	56	12	)	)	PUNCT
fcis-23824	56	13	.	.	PUNCT
fcis-23824	57	1	the	the	DET
fcis-23824	57	2	bias	bias	NOUN
fcis-23824	57	3	terms	term	NOUN
fcis-23824	57	4	are	be	AUX
fcis-23824	57	5	merged	merge	VERB
fcis-23824	57	6	,	,	PUNCT
fcis-23824	57	7	and	and	CCONJ
fcis-23824	57	8	the	the	DET
fcis-23824	57	9	calculation	calculation	NOUN
fcis-23824	57	10	formula	formula	NOUN
fcis-23824	57	11	is	be	AUX
fcis-23824	57	12	as	as	SCONJ
fcis-23824	57	13	follows	follow	VERB
fcis-23824	57	14	:	:	PUNCT
fcis-23824	57	15	conv1,new	conv1,new	ADJ
fcis-23824	57	16	,	,	PUNCT
fcis-23824	57	17	conv1	conv1	NOUN
fcis-23824	57	18	,	,	PUNCT
fcis-23824	57	19	conv	conv	ADJ
fcis-23824	57	20	,	,	PUNCT
fcis-23824	57	21	(	(	PUNCT
fcis-23824	57	22	8)	8)	NUM
fcis-23824	57	23	where	where	SCONJ
fcis-23824	57	24	conv1,new	conv1,new	ADJ
fcis-23824	57	25	,	,	PUNCT
fcis-23824	57	26	represents	represent	VERB
fcis-23824	57	27	the	the	DET
fcis-23824	57	28	merged	merged	ADJ
fcis-23824	57	29	bias	bias	NOUN
fcis-23824	57	30	term	term	NOUN
fcis-23824	57	31	.	.	PUNCT
fcis-23824	58	1	conv1	conv1	PROPN
fcis-23824	58	2	,	,	PUNCT
fcis-23824	58	3	represents	represent	VERB
fcis-23824	58	4	the	the	DET
fcis-23824	58	5	bias	bias	NOUN
fcis-23824	58	6	term	term	NOUN
fcis-23824	58	7	of	of	ADP
fcis-23824	58	8	the	the	DET
fcis-23824	58	9	3	3	NUM
fcis-23824	58	10	3	3	NUM
fcis-23824	58	11	convolution	convolution	NOUN
fcis-23824	58	12	kernel	kernel	NOUN
fcis-23824	58	13	.	.	PUNCT
fcis-23824	59	1	conv	conv	PROPN
fcis-23824	59	2	,	,	PUNCT
fcis-23824	59	3	represents	represent	VERB
fcis-23824	59	4	the	the	DET
fcis-23824	59	5	bias	bias	NOUN
fcis-23824	59	6	term	term	NOUN
fcis-23824	59	7	of	of	ADP
fcis-23824	59	8	the	the	DET
fcis-23824	59	9	1	1	NUM
fcis-23824	59	10	1	1	NUM
fcis-23824	59	11	convolution	convolution	NOUN
fcis-23824	59	12	kernel	kernel	NOUN
fcis-23824	59	13	.	.	PUNCT
fcis-23824	60	1	the	the	DET
fcis-23824	60	2	calculation	calculation	NOUN
fcis-23824	60	3	formula	formula	NOUN
fcis-23824	60	4	for	for	ADP
fcis-23824	60	5	the	the	DET
fcis-23824	60	6	merged	merge	VERB
fcis-23824	60	7	single	single	ADJ
fcis-23824	60	8	convolution	convolution	NOUN
fcis-23824	60	9	operation	operation	NOUN
fcis-23824	60	10	is	be	AUX
fcis-23824	60	11	as	as	SCONJ
fcis-23824	60	12	follows	follow	VERB
fcis-23824	60	13	:	:	PUNCT
fcis-23824	60	14	,	,	PUNCT
fcis-23824	60	15	∑	∑	ADP
fcis-23824	60	16	  	  	SPACE
fcis-23824	60	17	∑	∑	ADV
fcis-23824	60	18	  	  	SPACE
fcis-23824	60	19	conv	conv	ADJ
fcis-23824	60	20	,	,	PUNCT
fcis-23824	60	21	new	new	ADJ
fcis-23824	60	22	,	,	PUNCT
fcis-23824	60	23	⋅	⋅	PROPN
fcis-23824	60	24	,	,	PUNCT
fcis-23824	60	25	conv1,new	conv1,new	ADJ
fcis-23824	60	26	,	,	PUNCT
fcis-23824	60	27	(	(	PUNCT
fcis-23824	60	28	9	9	X
fcis-23824	60	29	)	)	PUNCT
fcis-23824	60	30	finally	finally	ADV
fcis-23824	60	31	,	,	PUNCT
fcis-23824	60	32	the	the	DET
fcis-23824	60	33	above	above	ADJ
fcis-23824	60	34	formula	formula	NOUN
fcis-23824	60	35	is	be	AUX
fcis-23824	60	36	applied	apply	VERB
fcis-23824	60	37	to	to	ADP
fcis-23824	60	38	all	all	DET
fcis-23824	60	39	time	time	NOUN
fcis-23824	60	40	steps	step	NOUN
fcis-23824	60	41	and	and	CCONJ
fcis-23824	60	42	feature	feature	NOUN
fcis-23824	60	43	channels	channel	NOUN
fcis-23824	60	44	of	of	ADP
fcis-23824	60	45	the	the	DET
fcis-23824	60	46	entire	entire	ADJ
fcis-23824	60	47	input	input	NOUN
fcis-23824	60	48	sequence	sequence	NOUN
fcis-23824	60	49	,	,	PUNCT
fcis-23824	60	50	resulting	result	VERB
fcis-23824	60	51	in	in	ADP
fcis-23824	60	52	the	the	DET
fcis-23824	60	53	overall	overall	ADJ
fcis-23824	60	54	output	output	NOUN
fcis-23824	60	55	of	of	ADP
fcis-23824	60	56	the	the	DET
fcis-23824	60	57	-th	-th	NOUN
fcis-23824	60	58	repconvblock	repconvblock	NOUN
fcis-23824	60	59	layer	layer	NOUN
fcis-23824	60	60	during	during	ADP
fcis-23824	60	61	the	the	DET
fcis-23824	60	62	inference	inference	NOUN
fcis-23824	60	63	phase	phase	NOUN
fcis-23824	60	64	,	,	PUNCT
fcis-23824	60	65	as	as	SCONJ
fcis-23824	60	66	follows	follow	VERB
fcis-23824	60	67	:	:	PUNCT
fcis-23824	60	68	,	,	PUNCT
fcis-23824	60	69	∣	∣	PROPN
fcis-23824	60	70	1	1	NUM
fcis-23824	60	71	,	,	PUNCT
fcis-23824	60	72	…	…	PUNCT
fcis-23824	60	73	,	,	PUNCT
fcis-23824	60	74	;	;	PUNCT
fcis-23824	60	75	1	1	NUM
fcis-23824	60	76	,	,	PUNCT
fcis-23824	60	77	…	…	PUNCT
fcis-23824	60	78	,	,	PUNCT
fcis-23824	60	79	(	(	PUNCT
fcis-23824	60	80	10	10	NUM
fcis-23824	60	81	)	)	PUNCT
fcis-23824	60	82	where	where	SCONJ
fcis-23824	60	83	represents	represent	VERB
fcis-23824	60	84	the	the	DET
fcis-23824	60	85	total	total	ADJ
fcis-23824	60	86	number	number	NOUN
fcis-23824	60	87	of	of	ADP
fcis-23824	60	88	time	time	NOUN
fcis-23824	60	89	steps	step	NOUN
fcis-23824	60	90	,	,	PUNCT
fcis-23824	60	91	i.e.	i.e.	X
fcis-23824	60	92	,	,	PUNCT
fcis-23824	60	93	the	the	DET
fcis-23824	60	94	number	number	NOUN
fcis-23824	60	95	of	of	ADP
fcis-23824	60	96	data	datum	NOUN
fcis-23824	60	97	points	point	NOUN
fcis-23824	60	98	in	in	ADP
fcis-23824	60	99	the	the	DET
fcis-23824	60	100	time	time	NOUN
fcis-23824	60	101	series	series	NOUN
fcis-23824	60	102	,	,	PUNCT
fcis-23824	60	103	with	with	ADP
fcis-23824	60	104	each	each	DET
fcis-23824	60	105	car	car	NOUN
fcis-23824	60	106	interior	interior	ADJ
fcis-23824	60	107	theft	theft	NOUN
fcis-23824	60	108	case	case	NOUN
fcis-23824	60	109	record	record	NOUN
fcis-23824	60	110	corresponding	correspond	VERB
fcis-23824	60	111	to	to	ADP
fcis-23824	60	112	a	a	DET
fcis-23824	60	113	time	time	NOUN
fcis-23824	60	114	step	step	NOUN
fcis-23824	60	115	.	.	PUNCT
fcis-23824	61	1	represents	represent	VERB
fcis-23824	61	2	the	the	DET
fcis-23824	61	3	number	number	NOUN
fcis-23824	61	4	of	of	ADP
fcis-23824	61	5	output	output	NOUN
fcis-23824	61	6	feature	feature	NOUN
fcis-23824	61	7	channels	channel	NOUN
fcis-23824	61	8	.	.	PUNCT
fcis-23824	62	1	next	next	ADV
fcis-23824	62	2	,	,	PUNCT
fcis-23824	62	3	the	the	DET
fcis-23824	62	4	encoder	encoder	NOUN
fcis-23824	62	5	part	part	NOUN
fcis-23824	62	6	employs	employ	VERB
fcis-23824	62	7	four	four	NUM
fcis-23824	62	8	layers	layer	NOUN
fcis-23824	62	9	of	of	ADP
fcis-23824	62	10	rnn	rnn	NOUN
fcis-23824	62	11	to	to	PART
fcis-23824	62	12	capture	capture	VERB
fcis-23824	62	13	the	the	DET
fcis-23824	62	14	temporal	temporal	ADJ
fcis-23824	62	15	patterns	pattern	NOUN
fcis-23824	62	16	in	in	ADP
fcis-23824	62	17	the	the	DET
fcis-23824	62	18	car	car	NOUN
fcis-23824	62	19	interior	interior	ADJ
fcis-23824	62	20	theft	theft	NOUN
fcis-23824	62	21	case	case	NOUN
fcis-23824	62	22	data	datum	NOUN
fcis-23824	62	23	.	.	PUNCT
fcis-23824	63	1	for	for	ADP
fcis-23824	63	2	the	the	DET
fcis-23824	63	3	-th	-th	ADJ
fcis-23824	63	4	layer	layer	NOUN
fcis-23824	63	5	of	of	ADP
fcis-23824	63	6	rnn	rnn	NOUN
fcis-23824	63	7	in	in	ADP
fcis-23824	63	8	the	the	DET
fcis-23824	63	9	encoder	encoder	NOUN
fcis-23824	63	10	,	,	PUNCT
fcis-23824	63	11	the	the	DET
fcis-23824	63	12	specific	specific	ADJ
fcis-23824	63	13	calculation	calculation	NOUN
fcis-23824	63	14	process	process	NOUN
fcis-23824	63	15	is	be	AUX
fcis-23824	63	16	as	as	SCONJ
fcis-23824	63	17	follows	follow	VERB
fcis-23824	63	18	:	:	PUNCT
fcis-23824	63	19	,	,	PUNCT
fcis-23824	63	20	rnn	rnn	VERB
fcis-23824	63	21	,	,	PUNCT
fcis-23824	63	22	(	(	PUNCT
fcis-23824	63	23	11	11	NUM
fcis-23824	63	24	)	)	PUNCT
fcis-23824	63	25	where	where	SCONJ
fcis-23824	63	26	,	,	PUNCT
fcis-23824	63	27	i.e.	i.e.	X
fcis-23824	63	28	,	,	PUNCT
fcis-23824	63	29	the	the	DET
fcis-23824	63	30	output	output	NOUN
fcis-23824	63	31	of	of	ADP
fcis-23824	63	32	the	the	DET
fcis-23824	63	33	last	last	ADJ
fcis-23824	63	34	repconvblock	repconvblock	NOUN
fcis-23824	63	35	layer	layer	NOUN
fcis-23824	63	36	is	be	AUX
fcis-23824	63	37	the	the	DET
fcis-23824	63	38	input	input	NOUN
fcis-23824	63	39	of	of	ADP
fcis-23824	63	40	the	the	DET
fcis-23824	63	41	initial	initial	ADJ
fcis-23824	63	42	rnn	rnn	NOUN
fcis-23824	63	43	layer	layer	NOUN
fcis-23824	63	44	in	in	ADP
fcis-23824	63	45	the	the	DET
fcis-23824	63	46	encoder	encoder	NOUN
fcis-23824	63	47	.	.	PUNCT
fcis-23824	64	1	represents	represent	VERB
fcis-23824	64	2	the	the	DET
fcis-23824	64	3	output	output	NOUN
fcis-23824	64	4	of	of	ADP
fcis-23824	64	5	the	the	DET
fcis-23824	64	6	-th	-th	ADJ
fcis-23824	64	7	layer	layer	NOUN
fcis-23824	64	8	rnn	rnn	VERB
fcis-23824	64	9	over	over	ADP
fcis-23824	64	10	the	the	DET
fcis-23824	64	11	entire	entire	ADJ
fcis-23824	64	12	sequence	sequence	NOUN
fcis-23824	64	13	.	.	PUNCT
fcis-23824	65	1	represents	represent	VERB
fcis-23824	65	2	the	the	DET
fcis-23824	65	3	hidden	hidden	ADJ
fcis-23824	65	4	state	state	NOUN
fcis-23824	65	5	at	at	ADP
fcis-23824	65	6	the	the	DET
fcis-23824	65	7	current	current	ADJ
fcis-23824	65	8	time	time	NOUN
fcis-23824	65	9	step	step	NOUN
fcis-23824	65	10	in	in	ADP
fcis-23824	65	11	the	the	DET
fcis-23824	65	12	-th	-th	ADJ
fcis-23824	65	13	layer	layer	NOUN
fcis-23824	65	14	,	,	PUNCT
fcis-23824	65	15	which	which	PRON
fcis-23824	65	16	is	be	AUX
fcis-23824	65	17	computed	compute	VERB
fcis-23824	65	18	based	base	VERB
fcis-23824	65	19	on	on	ADP
fcis-23824	65	20	the	the	DET
fcis-23824	65	21	hidden	hidden	ADJ
fcis-23824	65	22	state	state	NOUN
fcis-23824	65	23	of	of	ADP
fcis-23824	65	24	the	the	DET
fcis-23824	65	25	previous	previous	ADJ
fcis-23824	65	26	time	time	NOUN
fcis-23824	65	27	step	step	NOUN
fcis-23824	65	28	and	and	CCONJ
fcis-23824	65	29	the	the	DET
fcis-23824	65	30	current	current	ADJ
fcis-23824	65	31	input	input	NOUN
fcis-23824	65	32	feature	feature	NOUN
fcis-23824	65	33	.	.	PUNCT
fcis-23824	66	1	rnn	rnn	NOUN
fcis-23824	66	2	represents	represent	VERB
fcis-23824	66	3	the	the	DET
fcis-23824	66	4	rnn	rnn	NOUN
fcis-23824	66	5	unit	unit	NOUN
fcis-23824	66	6	calculation	calculation	NOUN
fcis-23824	66	7	.	.	PUNCT
fcis-23824	67	1	3	3	NUM
fcis-23824	67	2	the	the	DET
fcis-23824	67	3	high	high	ADJ
fcis-23824	67	4	-	-	PUNCT
fcis-23824	67	5	level	level	NOUN
fcis-23824	67	6	temporal	temporal	ADJ
fcis-23824	67	7	feature	feature	NOUN
fcis-23824	67	8	representation	representation	NOUN
fcis-23824	67	9	generated	generate	VERB
fcis-23824	67	10	by	by	ADP
fcis-23824	67	11	the	the	DET
fcis-23824	67	12	last	last	ADJ
fcis-23824	67	13	rnn	rnn	NOUN
fcis-23824	67	14	layer	layer	NOUN
fcis-23824	67	15	is	be	AUX
fcis-23824	67	16	the	the	DET
fcis-23824	67	17	final	final	ADJ
fcis-23824	67	18	output	output	NOUN
fcis-23824	67	19	of	of	ADP
fcis-23824	67	20	the	the	DET
fcis-23824	67	21	encoder	encoder	NOUN
fcis-23824	67	22	.	.	PUNCT
fcis-23824	68	1	2.2	2.2	NUM
fcis-23824	68	2	.	.	PUNCT
fcis-23824	69	1	decoder	decoder	NOUN
fcis-23824	69	2	part	part	NOUN
fcis-23824	69	3	of	of	ADP
fcis-23824	69	4	repconv	repconv	NOUN
fcis-23824	69	5	-	-	PUNCT
fcis-23824	69	6	rnn	rnn	PROPN
fcis-23824	69	7	-	-	PUNCT
fcis-23824	69	8	ae	ae	PROPN
fcis-23824	69	9	in	in	ADP
fcis-23824	69	10	the	the	DET
fcis-23824	69	11	decoder	decoder	NOUN
fcis-23824	69	12	part	part	NOUN
fcis-23824	69	13	of	of	ADP
fcis-23824	69	14	repconv	repconv	NOUN
fcis-23824	69	15	-	-	PUNCT
fcis-23824	69	16	rnn	rnn	PROPN
fcis-23824	69	17	-	-	PUNCT
fcis-23824	69	18	ae	ae	PROPN
fcis-23824	69	19	,	,	PUNCT
fcis-23824	69	20	four	four	NUM
fcis-23824	69	21	layers	layer	NOUN
fcis-23824	69	22	of	of	ADP
fcis-23824	69	23	rnn	rnn	NOUN
fcis-23824	69	24	with	with	ADP
fcis-23824	69	25	the	the	DET
fcis-23824	69	26	same	same	ADJ
fcis-23824	69	27	structure	structure	NOUN
fcis-23824	69	28	as	as	SCONJ
fcis-23824	69	29	the	the	DET
fcis-23824	69	30	encoder	encoder	NOUN
fcis-23824	69	31	are	be	AUX
fcis-23824	69	32	first	first	ADV
fcis-23824	69	33	used	use	VERB
fcis-23824	69	34	for	for	ADP
fcis-23824	69	35	decoding	decode	VERB
fcis-23824	69	36	to	to	PART
fcis-23824	69	37	ensure	ensure	VERB
fcis-23824	69	38	the	the	DET
fcis-23824	69	39	temporal	temporal	ADJ
fcis-23824	69	40	continuity	continuity	NOUN
fcis-23824	69	41	and	and	CCONJ
fcis-23824	69	42	reconstruction	reconstruction	NOUN
fcis-23824	69	43	effect	effect	NOUN
fcis-23824	69	44	of	of	ADP
fcis-23824	69	45	the	the	DET
fcis-23824	69	46	car	car	NOUN
fcis-23824	69	47	interior	interior	ADJ
fcis-23824	69	48	theft	theft	NOUN
fcis-23824	69	49	case	case	NOUN
fcis-23824	69	50	data	datum	NOUN
fcis-23824	69	51	.	.	PUNCT
fcis-23824	70	1	for	for	ADP
fcis-23824	70	2	the	the	DET
fcis-23824	70	3	-th	-th	ADJ
fcis-23824	70	4	layer	layer	NOUN
fcis-23824	70	5	of	of	ADP
fcis-23824	70	6	rnn	rnn	NOUN
fcis-23824	70	7	in	in	ADP
fcis-23824	70	8	the	the	DET
fcis-23824	70	9	decoder	decoder	NOUN
fcis-23824	70	10	,	,	PUNCT
fcis-23824	70	11	the	the	DET
fcis-23824	70	12	specific	specific	ADJ
fcis-23824	70	13	calculation	calculation	NOUN
fcis-23824	70	14	process	process	NOUN
fcis-23824	70	15	is	be	AUX
fcis-23824	70	16	as	as	SCONJ
fcis-23824	70	17	follows	follow	VERB
fcis-23824	70	18	:	:	PUNCT
fcis-23824	70	19	decoded	decode	VERB
fcis-23824	70	20	,	,	PUNCT
fcis-23824	70	21	rnn	rnn	NOUN
fcis-23824	70	22	decoded	decode	VERB
fcis-23824	70	23	,	,	PUNCT
fcis-23824	70	24	(	(	PUNCT
fcis-23824	70	25	12	12	NUM
fcis-23824	70	26	)	)	PUNCT
fcis-23824	70	27	where	where	SCONJ
fcis-23824	70	28	decoded	decode	VERB
fcis-23824	70	29	encoded	encode	VERB
fcis-23824	70	30	,	,	PUNCT
fcis-23824	70	31	i.e.	i.e.	X
fcis-23824	70	32	,	,	PUNCT
fcis-23824	70	33	the	the	DET
fcis-23824	70	34	output	output	NOUN
fcis-23824	70	35	of	of	ADP
fcis-23824	70	36	the	the	DET
fcis-23824	70	37	encoder	encoder	NOUN
fcis-23824	70	38	is	be	AUX
fcis-23824	70	39	the	the	DET
fcis-23824	70	40	input	input	NOUN
fcis-23824	70	41	of	of	ADP
fcis-23824	70	42	the	the	DET
fcis-23824	70	43	initial	initial	ADJ
fcis-23824	70	44	rnn	rnn	NOUN
fcis-23824	70	45	layer	layer	NOUN
fcis-23824	70	46	in	in	ADP
fcis-23824	70	47	the	the	DET
fcis-23824	70	48	decoder	decoder	NOUN
fcis-23824	70	49	.	.	PUNCT
fcis-23824	71	1	decoded	decode	VERB
fcis-23824	71	2	represents	represent	VERB
fcis-23824	71	3	the	the	DET
fcis-23824	71	4	output	output	NOUN
fcis-23824	71	5	of	of	ADP
fcis-23824	71	6	the	the	DET
fcis-23824	71	7	-th	-th	ADJ
fcis-23824	71	8	layer	layer	NOUN
fcis-23824	71	9	rnn	rnn	VERB
fcis-23824	71	10	over	over	ADP
fcis-23824	71	11	the	the	DET
fcis-23824	71	12	entire	entire	ADJ
fcis-23824	71	13	sequence	sequence	NOUN
fcis-23824	71	14	.	.	PUNCT
fcis-23824	72	1	represents	represent	VERB
fcis-23824	72	2	the	the	DET
fcis-23824	72	3	hidden	hidden	ADJ
fcis-23824	72	4	state	state	NOUN
fcis-23824	72	5	at	at	ADP
fcis-23824	72	6	the	the	DET
fcis-23824	72	7	current	current	ADJ
fcis-23824	72	8	time	time	NOUN
fcis-23824	72	9	step	step	NOUN
fcis-23824	72	10	in	in	ADP
fcis-23824	72	11	the	the	DET
fcis-23824	72	12	-th	-th	ADJ
fcis-23824	72	13	layer	layer	NOUN
fcis-23824	72	14	,	,	PUNCT
fcis-23824	72	15	which	which	PRON
fcis-23824	72	16	is	be	AUX
fcis-23824	72	17	computed	compute	VERB
fcis-23824	72	18	based	base	VERB
fcis-23824	72	19	on	on	ADP
fcis-23824	72	20	the	the	DET
fcis-23824	72	21	hidden	hidden	ADJ
fcis-23824	72	22	state	state	NOUN
fcis-23824	72	23	of	of	ADP
fcis-23824	72	24	the	the	DET
fcis-23824	72	25	previous	previous	ADJ
fcis-23824	72	26	time	time	NOUN
fcis-23824	72	27	step	step	NOUN
fcis-23824	72	28	and	and	CCONJ
fcis-23824	72	29	the	the	DET
fcis-23824	72	30	current	current	ADJ
fcis-23824	72	31	input	input	NOUN
fcis-23824	72	32	feature	feature	NOUN
fcis-23824	72	33	decoded	decode	VERB
fcis-23824	72	34	.	.	PUNCT
fcis-23824	73	1	next	next	ADV
fcis-23824	73	2	,	,	PUNCT
fcis-23824	73	3	the	the	DET
fcis-23824	73	4	decoder	decoder	NOUN
fcis-23824	73	5	part	part	NOUN
fcis-23824	73	6	continues	continue	VERB
fcis-23824	73	7	to	to	PART
fcis-23824	73	8	use	use	VERB
fcis-23824	73	9	two	two	NUM
fcis-23824	73	10	upsampling	upsample	VERB
fcis-23824	73	11	layers	layer	NOUN
fcis-23824	73	12	and	and	CCONJ
fcis-23824	73	13	two	two	NUM
fcis-23824	73	14	repconvblock	repconvblock	NOUN
fcis-23824	73	15	layers	layer	NOUN
fcis-23824	73	16	to	to	PART
fcis-23824	73	17	further	far	ADV
fcis-23824	73	18	process	process	VERB
fcis-23824	73	19	the	the	DET
fcis-23824	73	20	output	output	NOUN
fcis-23824	73	21	of	of	ADP
fcis-23824	73	22	the	the	DET
fcis-23824	73	23	four	four	NUM
fcis-23824	73	24	layers	layer	NOUN
fcis-23824	73	25	of	of	ADP
fcis-23824	73	26	rnn	rnn	NOUN
fcis-23824	73	27	in	in	ADP
fcis-23824	73	28	the	the	DET
fcis-23824	73	29	decoder	decoder	NOUN
fcis-23824	73	30	.	.	PUNCT
fcis-23824	74	1	the	the	DET
fcis-23824	74	2	upsampling	upsampling	NOUN
fcis-23824	74	3	(	(	PUNCT
fcis-23824	74	4	upsample	upsample	NOUN
fcis-23824	74	5	)	)	PUNCT
fcis-23824	74	6	layers	layer	NOUN
fcis-23824	74	7	are	be	AUX
fcis-23824	74	8	used	use	VERB
fcis-23824	74	9	to	to	PART
fcis-23824	74	10	gradually	gradually	ADV
fcis-23824	74	11	restore	restore	VERB
fcis-23824	74	12	the	the	DET
fcis-23824	74	13	temporal	temporal	ADJ
fcis-23824	74	14	dimension	dimension	NOUN
fcis-23824	74	15	of	of	ADP
fcis-23824	74	16	the	the	DET
fcis-23824	74	17	feature	feature	NOUN
fcis-23824	74	18	maps	map	NOUN
fcis-23824	74	19	,	,	PUNCT
fcis-23824	74	20	and	and	CCONJ
fcis-23824	74	21	the	the	DET
fcis-23824	74	22	repconvblock	repconvblock	NOUN
fcis-23824	74	23	layers	layer	NOUN
fcis-23824	74	24	are	be	AUX
fcis-23824	74	25	used	use	VERB
fcis-23824	74	26	to	to	PART
fcis-23824	74	27	restore	restore	VERB
fcis-23824	74	28	and	and	CCONJ
fcis-23824	74	29	enhance	enhance	VERB
fcis-23824	74	30	the	the	DET
fcis-23824	74	31	feature	feature	NOUN
fcis-23824	74	32	maps	map	NOUN
fcis-23824	74	33	.	.	PUNCT
fcis-23824	75	1	for	for	ADP
fcis-23824	75	2	the	the	DET
fcis-23824	75	3	-th	-th	ADJ
fcis-23824	75	4	upsampling	upsampling	NOUN
fcis-23824	75	5	and	and	CCONJ
fcis-23824	75	6	repconvblock	repconvblock	NOUN
fcis-23824	75	7	,	,	PUNCT
fcis-23824	75	8	the	the	DET
fcis-23824	75	9	specific	specific	ADJ
fcis-23824	75	10	calculation	calculation	NOUN
fcis-23824	75	11	process	process	NOUN
fcis-23824	75	12	is	be	AUX
fcis-23824	75	13	as	as	SCONJ
fcis-23824	75	14	follows	follow	VERB
fcis-23824	75	15	:	:	PUNCT
fcis-23824	75	16	upsample	upsample	PROPN
fcis-23824	75	17	-	-	PUNCT
fcis-23824	75	18	rcb	rcb	PROPN
fcis-23824	75	19	repconvblock	repconvblock	PROPN
fcis-23824	75	20	upsample	upsample	PROPN
fcis-23824	75	21	upsample	upsample	PROPN
fcis-23824	75	22	-	-	PUNCT
fcis-23824	75	23	rcb	rcb	PROPN
fcis-23824	75	24	(	(	PUNCT
fcis-23824	75	25	13	13	NUM
fcis-23824	75	26	)	)	PUNCT
fcis-23824	75	27	where	where	SCONJ
fcis-23824	75	28	upsample	upsample	PROPN
fcis-23824	75	29	-	-	PUNCT
fcis-23824	75	30	rcb	rcb	PROPN
fcis-23824	75	31	decoded	decode	VERB
fcis-23824	75	32	,	,	PUNCT
fcis-23824	75	33	i.e.	i.e.	X
fcis-23824	75	34	,	,	PUNCT
fcis-23824	75	35	the	the	DET
fcis-23824	75	36	output	output	NOUN
fcis-23824	75	37	of	of	ADP
fcis-23824	75	38	the	the	DET
fcis-23824	75	39	last	last	ADJ
fcis-23824	75	40	rnn	rnn	NOUN
fcis-23824	75	41	layer	layer	NOUN
fcis-23824	75	42	in	in	ADP
fcis-23824	75	43	the	the	DET
fcis-23824	75	44	decoder	decoder	NOUN
fcis-23824	75	45	is	be	AUX
fcis-23824	75	46	the	the	DET
fcis-23824	75	47	input	input	NOUN
fcis-23824	75	48	of	of	ADP
fcis-23824	75	49	the	the	DET
fcis-23824	75	50	first	first	ADJ
fcis-23824	75	51	upsampling	upsample	VERB
fcis-23824	75	52	layer	layer	NOUN
fcis-23824	75	53	.	.	PUNCT
fcis-23824	76	1	upsample	upsample	PROPN
fcis-23824	76	2	represents	represent	VERB
fcis-23824	76	3	the	the	DET
fcis-23824	76	4	upsampling	upsample	VERB
fcis-23824	76	5	operation	operation	NOUN
fcis-23824	76	6	.	.	PUNCT
fcis-23824	77	1	finally	finally	ADV
fcis-23824	77	2	,	,	PUNCT
fcis-23824	77	3	a	a	DET
fcis-23824	77	4	1d	1d	NUM
fcis-23824	77	5	-	-	PUNCT
fcis-23824	77	6	cnn	cnn	NOUN
fcis-23824	77	7	layer	layer	NOUN
fcis-23824	77	8	is	be	AUX
fcis-23824	77	9	used	use	VERB
fcis-23824	77	10	to	to	PART
fcis-23824	77	11	convert	convert	VERB
fcis-23824	77	12	the	the	DET
fcis-23824	77	13	feature	feature	NOUN
fcis-23824	77	14	maps	map	NOUN
fcis-23824	77	15	to	to	ADP
fcis-23824	77	16	the	the	DET
fcis-23824	77	17	size	size	NOUN
fcis-23824	77	18	of	of	ADP
fcis-23824	77	19	the	the	DET
fcis-23824	77	20	original	original	ADJ
fcis-23824	77	21	input	input	NOUN
fcis-23824	77	22	,	,	PUNCT
fcis-23824	77	23	completing	complete	VERB
fcis-23824	77	24	the	the	DET
fcis-23824	77	25	reconstruction	reconstruction	NOUN
fcis-23824	77	26	of	of	ADP
fcis-23824	77	27	the	the	DET
fcis-23824	77	28	car	car	NOUN
fcis-23824	77	29	interior	interior	ADJ
fcis-23824	77	30	theft	theft	NOUN
fcis-23824	77	31	case	case	NOUN
fcis-23824	77	32	data	datum	NOUN
fcis-23824	77	33	and	and	CCONJ
fcis-23824	77	34	achieving	achieve	VERB
fcis-23824	77	35	the	the	DET
fcis-23824	77	36	completion	completion	NOUN
fcis-23824	77	37	of	of	ADP
fcis-23824	77	38	missing	miss	VERB
fcis-23824	77	39	field	field	NOUN
fcis-23824	77	40	values	value	NOUN
fcis-23824	77	41	.	.	PUNCT
fcis-23824	78	1	the	the	DET
fcis-23824	78	2	specific	specific	ADJ
fcis-23824	78	3	calculation	calculation	NOUN
fcis-23824	78	4	process	process	NOUN
fcis-23824	78	5	of	of	ADP
fcis-23824	78	6	the	the	DET
fcis-23824	78	7	final	final	ADJ
fcis-23824	78	8	1d	1d	NUM
fcis-23824	78	9	-	-	PUNCT
fcis-23824	78	10	cnn	cnn	NOUN
fcis-23824	78	11	layer	layer	NOUN
fcis-23824	78	12	is	be	AUX
fcis-23824	78	13	as	as	SCONJ
fcis-23824	78	14	follows	follow	VERB
fcis-23824	78	15	:	:	PUNCT
fcis-23824	78	16	conv	conv	ADJ
fcis-23824	78	17	conv1d	conv1d	PROPN
fcis-23824	78	18	upsample	upsample	PROPN
fcis-23824	78	19	-	-	PUNCT
fcis-23824	78	20	rcb	rcb	NOUN
fcis-23824	78	21	(	(	PUNCT
fcis-23824	78	22	14	14	NUM
fcis-23824	78	23	)	)	PUNCT
fcis-23824	78	24	where	where	SCONJ
fcis-23824	78	25	upsample	upsample	NOUN
fcis-23824	78	26	-	-	PUNCT
fcis-23824	78	27	rcb	rcb	PROPN
fcis-23824	78	28	represents	represent	VERB
fcis-23824	78	29	the	the	DET
fcis-23824	78	30	output	output	NOUN
fcis-23824	78	31	after	after	ADP
fcis-23824	78	32	two	two	NUM
fcis-23824	78	33	upsampling	upsampling	NOUN
fcis-23824	78	34	and	and	CCONJ
fcis-23824	78	35	repconvblock	repconvblock	NOUN
fcis-23824	78	36	layers	layer	NOUN
fcis-23824	78	37	.	.	PUNCT
fcis-23824	79	1	conv	conv	PROPN
fcis-23824	79	2	represents	represent	VERB
fcis-23824	79	3	the	the	DET
fcis-23824	79	4	output	output	NOUN
fcis-23824	79	5	after	after	ADP
fcis-23824	79	6	a	a	DET
fcis-23824	79	7	layer	layer	NOUN
fcis-23824	79	8	of	of	ADP
fcis-23824	79	9	1d	1d	NUM
fcis-23824	79	10	convolution	convolution	NOUN
fcis-23824	79	11	,	,	PUNCT
fcis-23824	79	12	which	which	PRON
fcis-23824	79	13	is	be	AUX
fcis-23824	79	14	the	the	DET
fcis-23824	79	15	reconstructed	reconstructed	ADJ
fcis-23824	79	16	car	car	NOUN
fcis-23824	79	17	interior	interior	ADJ
fcis-23824	79	18	theft	theft	NOUN
fcis-23824	79	19	case	case	NOUN
fcis-23824	79	20	data	data	VERB
fcis-23824	79	21	˜	˜	PROPN
fcis-23824	79	22	.	.	PUNCT
fcis-23824	80	1	˜	˜	PROPN
fcis-23824	80	2	represents	represent	VERB
fcis-23824	80	3	the	the	DET
fcis-23824	80	4	complete	complete	ADJ
fcis-23824	80	5	car	car	NOUN
fcis-23824	80	6	interior	interior	ADJ
fcis-23824	80	7	theft	theft	NOUN
fcis-23824	80	8	case	case	NOUN
fcis-23824	80	9	data	datum	NOUN
fcis-23824	80	10	without	without	ADP
fcis-23824	80	11	missing	miss	VERB
fcis-23824	80	12	field	field	NOUN
fcis-23824	80	13	values	value	NOUN
fcis-23824	80	14	,	,	PUNCT
fcis-23824	80	15	completed	complete	VERB
fcis-23824	80	16	by	by	ADP
fcis-23824	80	17	repconv	repconv	NOUN
fcis-23824	80	18	-	-	PUNCT
fcis-23824	80	19	rnn	rnn	PROPN
fcis-23824	80	20	-	-	PUNCT
fcis-23824	80	21	ae	ae	PROPN
fcis-23824	80	22	.	.	PUNCT
fcis-23824	81	1	3	3	X
fcis-23824	81	2	.	.	X
fcis-23824	81	3	experimental	experimental	ADJ
fcis-23824	81	4	validation	validation	NOUN
fcis-23824	81	5	and	and	CCONJ
fcis-23824	81	6	result	result	VERB
fcis-23824	81	7	analysis	analysis	NOUN
fcis-23824	81	8	3.1	3.1	NUM
fcis-23824	81	9	.	.	PUNCT
fcis-23824	82	1	data	datum	NOUN
fcis-23824	82	2	preprocessing	preprocesse	VERB
fcis-23824	82	3	to	to	PART
fcis-23824	82	4	accurately	accurately	ADV
fcis-23824	82	5	evaluate	evaluate	VERB
fcis-23824	82	6	the	the	DET
fcis-23824	82	7	model	model	NOUN
fcis-23824	82	8	,	,	PUNCT
fcis-23824	82	9	5119	5119	NUM
fcis-23824	82	10	complete	complete	ADJ
fcis-23824	82	11	car	car	NOUN
fcis-23824	82	12	interior	interior	ADJ
fcis-23824	82	13	theft	theft	NOUN
fcis-23824	82	14	case	case	NOUN
fcis-23824	82	15	records	record	VERB
fcis-23824	82	16	without	without	ADP
fcis-23824	82	17	missing	miss	VERB
fcis-23824	82	18	field	field	NOUN
fcis-23824	82	19	values	value	NOUN
fcis-23824	82	20	from	from	ADP
fcis-23824	82	21	a	a	DET
fcis-23824	82	22	city	city	NOUN
fcis-23824	82	23	in	in	ADP
fcis-23824	82	24	china	china	PROPN
fcis-23824	82	25	,	,	PUNCT
fcis-23824	82	26	spanning	span	VERB
fcis-23824	82	27	from	from	ADP
fcis-23824	82	28	january	january	PROPN
fcis-23824	82	29	1	1	NUM
fcis-23824	82	30	,	,	PUNCT
fcis-23824	82	31	2018	2018	NUM
fcis-23824	82	32	,	,	PUNCT
fcis-23824	82	33	to	to	ADP
fcis-23824	82	34	december	december	PROPN
fcis-23824	82	35	31	31	NUM
fcis-23824	82	36	,	,	PUNCT
fcis-23824	82	37	2023	2023	NUM
fcis-23824	82	38	,	,	PUNCT
fcis-23824	82	39	after	after	ADP
fcis-23824	82	40	anonymization	anonymization	NOUN
fcis-23824	82	41	and	and	CCONJ
fcis-23824	82	42	desensitization	desensitization	NOUN
fcis-23824	82	43	processing	processing	NOUN
fcis-23824	82	44	,	,	PUNCT
fcis-23824	82	45	were	be	AUX
fcis-23824	82	46	selected	select	VERB
fcis-23824	82	47	as	as	ADP
fcis-23824	82	48	the	the	DET
fcis-23824	82	49	experimental	experimental	ADJ
fcis-23824	82	50	dataset	dataset	NOUN
fcis-23824	82	51	.	.	PUNCT
fcis-23824	83	1	specifically	specifically	ADV
fcis-23824	83	2	,	,	PUNCT
fcis-23824	83	3	3157	3157	NUM
fcis-23824	83	4	theft	theft	NOUN
fcis-23824	83	5	case	case	NOUN
fcis-23824	83	6	records	record	VERB
fcis-23824	83	7	from	from	ADP
fcis-23824	83	8	january	january	PROPN
fcis-23824	83	9	1	1	NUM
fcis-23824	83	10	,	,	PUNCT
fcis-23824	83	11	2018	2018	NUM
fcis-23824	83	12	,	,	PUNCT
fcis-23824	83	13	to	to	ADP
fcis-23824	83	14	december	december	PROPN
fcis-23824	83	15	31	31	NUM
fcis-23824	83	16	,	,	PUNCT
fcis-23824	83	17	2021	2021	NUM
fcis-23824	83	18	,	,	PUNCT
fcis-23824	83	19	were	be	AUX
fcis-23824	83	20	used	use	VERB
fcis-23824	83	21	for	for	ADP
fcis-23824	83	22	the	the	DET
fcis-23824	83	23	training	training	NOUN
fcis-23824	83	24	set	set	NOUN
fcis-23824	83	25	,	,	PUNCT
fcis-23824	83	26	and	and	CCONJ
fcis-23824	83	27	1962	1962	NUM
fcis-23824	83	28	theft	theft	NOUN
fcis-23824	83	29	case	case	NOUN
fcis-23824	83	30	records	record	VERB
fcis-23824	83	31	from	from	ADP
fcis-23824	83	32	january	january	PROPN
fcis-23824	83	33	1	1	NUM
fcis-23824	83	34	,	,	PUNCT
fcis-23824	83	35	2022	2022	NUM
fcis-23824	83	36	,	,	PUNCT
fcis-23824	83	37	to	to	ADP
fcis-23824	83	38	december	december	PROPN
fcis-23824	83	39	31	31	NUM
fcis-23824	83	40	,	,	PUNCT
fcis-23824	83	41	2023	2023	NUM
fcis-23824	83	42	,	,	PUNCT
fcis-23824	83	43	were	be	AUX
fcis-23824	83	44	used	use	VERB
fcis-23824	83	45	for	for	ADP
fcis-23824	83	46	the	the	DET
fcis-23824	83	47	test	test	NOUN
fcis-23824	83	48	set	set	VERB
fcis-23824	83	49	.	.	PUNCT
fcis-23824	84	1	in	in	ADP
fcis-23824	84	2	the	the	DET
fcis-23824	84	3	experiment	experiment	NOUN
fcis-23824	84	4	,	,	PUNCT
fcis-23824	84	5	four	four	NUM
fcis-23824	84	6	key	key	ADJ
fcis-23824	84	7	feature	feature	NOUN
fcis-23824	84	8	fields	field	NOUN
fcis-23824	84	9	were	be	AUX
fcis-23824	84	10	selected	select	VERB
fcis-23824	84	11	for	for	ADP
fcis-23824	84	12	data	data	NOUN
fcis-23824	84	13	completion	completion	NOUN
fcis-23824	84	14	,	,	PUNCT
fcis-23824	84	15	specifically	specifically	ADV
fcis-23824	84	16	:	:	PUNCT
fcis-23824	84	17	"	"	PUNCT
fcis-23824	84	18	time	time	NOUN
fcis-23824	84	19	of	of	ADP
fcis-23824	84	20	crime	crime	NOUN
fcis-23824	84	21	"	"	PUNCT
fcis-23824	84	22	,	,	PUNCT
fcis-23824	84	23	"	"	PUNCT
fcis-23824	84	24	location	location	NOUN
fcis-23824	84	25	of	of	ADP
fcis-23824	84	26	crime	crime	NOUN
fcis-23824	84	27	"	"	PUNCT
fcis-23824	84	28	,	,	PUNCT
fcis-23824	84	29	and	and	CCONJ
fcis-23824	84	30	"	"	PUNCT
fcis-23824	84	31	police	police	NOUN
fcis-23824	84	32	substation	substation	NOUN
fcis-23824	84	33	"	"	PUNCT
fcis-23824	84	34	.	.	PUNCT
fcis-23824	85	1	for	for	ADP
fcis-23824	85	2	the	the	DET
fcis-23824	85	3	"	"	PUNCT
fcis-23824	85	4	time	time	NOUN
fcis-23824	85	5	of	of	ADP
fcis-23824	85	6	crime	crime	NOUN
fcis-23824	85	7	"	"	PUNCT
fcis-23824	85	8	feature	feature	NOUN
fcis-23824	85	9	field	field	NOUN
fcis-23824	85	10	,	,	PUNCT
fcis-23824	85	11	based	base	VERB
fcis-23824	85	12	on	on	ADP
fcis-23824	85	13	people	people	NOUN
fcis-23824	85	14	's	's	PART
fcis-23824	85	15	daily	daily	ADJ
fcis-23824	85	16	activities	activity	NOUN
fcis-23824	85	17	and	and	CCONJ
fcis-23824	85	18	routines	routine	NOUN
fcis-23824	85	19	,	,	PUNCT
fcis-23824	85	20	the	the	DET
fcis-23824	85	21	year	year	NOUN
fcis-23824	85	22	,	,	PUNCT
fcis-23824	85	23	month	month	NOUN
fcis-23824	85	24	,	,	PUNCT
fcis-23824	85	25	and	and	CCONJ
fcis-23824	85	26	date	date	NOUN
fcis-23824	85	27	were	be	AUX
fcis-23824	85	28	extracted	extract	VERB
fcis-23824	85	29	from	from	ADP
fcis-23824	85	30	the	the	DET
fcis-23824	85	31	timestamp	timestamp	NOUN
fcis-23824	85	32	and	and	CCONJ
fcis-23824	85	33	converted	convert	VERB
fcis-23824	85	34	into	into	ADP
fcis-23824	85	35	discrete	discrete	ADJ
fcis-23824	85	36	categorical	categorical	ADJ
fcis-23824	85	37	features	feature	NOUN
fcis-23824	85	38	.	.	PUNCT
fcis-23824	86	1	additionally	additionally	ADV
fcis-23824	86	2	,	,	PUNCT
fcis-23824	86	3	the	the	DET
fcis-23824	86	4	24	24	NUM
fcis-23824	86	5	-	-	PUNCT
fcis-23824	86	6	hour	hour	NOUN
fcis-23824	86	7	time	time	NOUN
fcis-23824	86	8	format	format	NOUN
fcis-23824	86	9	was	be	AUX
fcis-23824	86	10	divided	divide	VERB
fcis-23824	86	11	into	into	ADP
fcis-23824	86	12	six	six	NUM
fcis-23824	86	13	time	time	NOUN
fcis-23824	86	14	periods	period	NOUN
fcis-23824	86	15	per	per	ADP
fcis-23824	86	16	day	day	NOUN
fcis-23824	86	17	:	:	PUNCT
fcis-23824	86	18	early	early	ADJ
fcis-23824	86	19	morning	morning	NOUN
fcis-23824	86	20	(	(	PUNCT
fcis-23824	86	21	00:00	00:00	NUM
fcis-23824	86	22	-	-	SYM
fcis-23824	86	23	04:00	04:00	NUM
fcis-23824	86	24	)	)	PUNCT
fcis-23824	86	25	,	,	PUNCT
fcis-23824	86	26	morning	morning	NOUN
fcis-23824	86	27	(	(	PUNCT
fcis-23824	86	28	04:00	04:00	NUM
fcis-23824	86	29	-	-	PUNCT
fcis-23824	86	30	08:00	08:00	NUM
fcis-23824	86	31	)	)	PUNCT
fcis-23824	86	32	,	,	PUNCT
fcis-23824	86	33	forenoon	forenoon	NOUN
fcis-23824	86	34	(	(	PUNCT
fcis-23824	86	35	08:00	08:00	NUM
fcis-23824	86	36	-	-	SYM
fcis-23824	86	37	12:00	12:00	NUM
fcis-23824	86	38	)	)	PUNCT
fcis-23824	86	39	,	,	PUNCT
fcis-23824	86	40	afternoon	afternoon	NOUN
fcis-23824	86	41	(	(	PUNCT
fcis-23824	86	42	12:00	12:00	NUM
fcis-23824	86	43	-	-	SYM
fcis-23824	86	44	16:00	16:00	NUM
fcis-23824	86	45	)	)	PUNCT
fcis-23824	86	46	,	,	PUNCT
fcis-23824	86	47	evening	evening	NOUN
fcis-23824	86	48	(	(	PUNCT
fcis-23824	86	49	16:00	16:00	NUM
fcis-23824	86	50	-	-	SYM
fcis-23824	86	51	20:00	20:00	NUM
fcis-23824	86	52	)	)	PUNCT
fcis-23824	86	53	,	,	PUNCT
fcis-23824	86	54	and	and	CCONJ
fcis-23824	86	55	night	night	NOUN
fcis-23824	86	56	(	(	PUNCT
fcis-23824	86	57	20:00	20:00	NUM
fcis-23824	86	58	-	-	PUNCT
fcis-23824	86	59	00:00	00:00	NUM
fcis-23824	86	60	)	)	PUNCT
fcis-23824	86	61	.	.	PUNCT
fcis-23824	87	1	after	after	ADP
fcis-23824	87	2	converting	convert	VERB
fcis-23824	87	3	the	the	DET
fcis-23824	87	4	"	"	PUNCT
fcis-23824	87	5	time	time	NOUN
fcis-23824	87	6	of	of	ADP
fcis-23824	87	7	crime	crime	NOUN
fcis-23824	87	8	"	"	PUNCT
fcis-23824	87	9	feature	feature	NOUN
fcis-23824	87	10	field	field	NOUN
fcis-23824	87	11	,	,	PUNCT
fcis-23824	87	12	all	all	DET
fcis-23824	87	13	feature	feature	NOUN
fcis-23824	87	14	fields	field	NOUN
fcis-23824	87	15	were	be	AUX
fcis-23824	87	16	one	one	NUM
fcis-23824	87	17	-	-	PUNCT
fcis-23824	87	18	hot	hot	ADJ
fcis-23824	87	19	encoded	encode	VERB
fcis-23824	87	20	.	.	PUNCT
fcis-23824	88	1	the	the	DET
fcis-23824	88	2	number	number	NOUN
fcis-23824	88	3	of	of	ADP
fcis-23824	88	4	categories	category	NOUN
fcis-23824	88	5	and	and	CCONJ
fcis-23824	88	6	examples	example	NOUN
fcis-23824	88	7	for	for	ADP
fcis-23824	88	8	each	each	DET
fcis-23824	88	9	selected	select	VERB
fcis-23824	88	10	feature	feature	NOUN
fcis-23824	88	11	field	field	NOUN
fcis-23824	88	12	in	in	ADP
fcis-23824	88	13	the	the	DET
fcis-23824	88	14	theft	theft	NOUN
fcis-23824	88	15	case	case	NOUN
fcis-23824	88	16	data	datum	NOUN
fcis-23824	88	17	are	be	AUX
fcis-23824	88	18	shown	show	VERB
fcis-23824	88	19	in	in	ADP
fcis-23824	88	20	table	table	NOUN
fcis-23824	88	21	1	1	NUM
fcis-23824	88	22	.	.	PUNCT
fcis-23824	88	23	table	table	NOUN
fcis-23824	88	24	1	1	NUM
fcis-23824	88	25	.	.	PUNCT
fcis-23824	88	26	theft	theft	NOUN
fcis-23824	88	27	case	case	NOUN
fcis-23824	88	28	data	datum	NOUN
fcis-23824	88	29	feature	feature	NOUN
fcis-23824	88	30	fields	field	NOUN
fcis-23824	88	31	,	,	PUNCT
fcis-23824	88	32	number	number	NOUN
fcis-23824	88	33	of	of	ADP
fcis-23824	88	34	categories	category	NOUN
fcis-23824	88	35	,	,	PUNCT
fcis-23824	88	36	and	and	CCONJ
fcis-23824	88	37	examples	example	NOUN
fcis-23824	88	38	field	field	NOUN
fcis-23824	88	39	name	name	NOUN
fcis-23824	88	40	number	number	NOUN
fcis-23824	88	41	of	of	ADP
fcis-23824	88	42	categories	category	NOUN
fcis-23824	88	43	specific	specific	ADJ
fcis-23824	88	44	examples	example	NOUN
fcis-23824	88	45	time	time	NOUN
fcis-23824	88	46	of	of	ADP
fcis-23824	88	47	crime	crime	NOUN
fcis-23824	88	48	9	9	NUM
fcis-23824	88	49	year	year	NOUN
fcis-23824	88	50	,	,	PUNCT
fcis-23824	88	51	month	month	NOUN
fcis-23824	88	52	,	,	PUNCT
fcis-23824	88	53	date	date	NOUN
fcis-23824	88	54	,	,	PUNCT
fcis-23824	88	55	early	early	ADJ
fcis-23824	88	56	morning	morning	NOUN
fcis-23824	88	57	,	,	PUNCT
fcis-23824	88	58	morning	morning	NOUN
fcis-23824	88	59	,	,	PUNCT
fcis-23824	88	60	etc	etc	X
fcis-23824	88	61	.	.	X
fcis-23824	88	62	location	location	NOUN
fcis-23824	88	63	of	of	ADP
fcis-23824	88	64	crime	crime	NOUN
fcis-23824	88	65	19	19	NUM
fcis-23824	88	66	public	public	ADJ
fcis-23824	88	67	parking	parking	NOUN
fcis-23824	88	68	lot	lot	NOUN
fcis-23824	88	69	,	,	PUNCT
fcis-23824	88	70	urban	urban	ADJ
fcis-23824	88	71	residential	residential	ADJ
fcis-23824	88	72	area	area	NOUN
fcis-23824	88	73	,	,	PUNCT
fcis-23824	88	74	etc	etc	X
fcis-23824	88	75	.	.	X
fcis-23824	88	76	police	police	NOUN
fcis-23824	88	77	substation	substation	NOUN
fcis-23824	88	78	6	6	NUM
fcis-23824	88	79	substation	substation	NOUN
fcis-23824	88	80	a	a	PRON
fcis-23824	88	81	,	,	PUNCT
fcis-23824	88	82	substation	substation	NOUN
fcis-23824	88	83	b	b	NOUN
fcis-23824	88	84	,	,	PUNCT
fcis-23824	88	85	substation	substation	NOUN
fcis-23824	88	86	c	c	NOUN
fcis-23824	88	87	,	,	PUNCT
fcis-23824	88	88	etc	etc	X
fcis-23824	88	89	.	.	X
fcis-23824	88	90	3.2	3.2	NUM
fcis-23824	88	91	.	.	PUNCT
fcis-23824	89	1	experimental	experimental	ADJ
fcis-23824	89	2	design	design	NOUN
fcis-23824	89	3	to	to	PART
fcis-23824	89	4	evaluate	evaluate	VERB
fcis-23824	89	5	the	the	DET
fcis-23824	89	6	effectiveness	effectiveness	NOUN
fcis-23824	89	7	and	and	CCONJ
fcis-23824	89	8	superiority	superiority	NOUN
fcis-23824	89	9	of	of	ADP
fcis-23824	89	10	the	the	DET
fcis-23824	89	11	model	model	NOUN
fcis-23824	89	12	,	,	PUNCT
fcis-23824	89	13	the	the	DET
fcis-23824	89	14	results	result	NOUN
fcis-23824	89	15	of	of	ADP
fcis-23824	89	16	data	datum	NOUN
fcis-23824	89	17	completion	completion	NOUN
fcis-23824	89	18	for	for	ADP
fcis-23824	89	19	car	car	NOUN
fcis-23824	89	20	interior	interior	ADJ
fcis-23824	89	21	theft	theft	NOUN
fcis-23824	89	22	cases	case	NOUN
fcis-23824	89	23	using	use	VERB
fcis-23824	89	24	repconv	repconv	NOUN
fcis-23824	89	25	-	-	PUNCT
fcis-23824	89	26	rnn	rnn	PROPN
fcis-23824	89	27	-	-	PUNCT
fcis-23824	89	28	ae	ae	PROPN
fcis-23824	89	29	were	be	AUX
fcis-23824	89	30	compared	compare	VERB
fcis-23824	89	31	with	with	ADP
fcis-23824	89	32	those	those	PRON
fcis-23824	89	33	using	use	VERB
fcis-23824	89	34	other	other	ADJ
fcis-23824	89	35	data	datum	NOUN
fcis-23824	89	36	completion	completion	NOUN
fcis-23824	89	37	models	model	NOUN
fcis-23824	89	38	.	.	PUNCT
fcis-23824	90	1	this	this	PRON
fcis-23824	90	2	validates	validate	VERB
fcis-23824	90	3	the	the	DET
fcis-23824	90	4	superiority	superiority	NOUN
fcis-23824	90	5	of	of	ADP
fcis-23824	90	6	repconv	repconv	NOUN
fcis-23824	90	7	-	-	PUNCT
fcis-23824	90	8	rnn	rnn	PROPN
fcis-23824	90	9	-	-	PUNCT
fcis-23824	90	10	ae	ae	PROPN
fcis-23824	90	11	in	in	ADP
fcis-23824	90	12	completing	complete	VERB
fcis-23824	90	13	car	car	NOUN
fcis-23824	90	14	interior	interior	ADJ
fcis-23824	90	15	theft	theft	NOUN
fcis-23824	90	16	case	case	NOUN
fcis-23824	90	17	data	datum	NOUN
fcis-23824	90	18	.	.	PUNCT
fcis-23824	91	1	the	the	DET
fcis-23824	91	2	comparison	comparison	NOUN
fcis-23824	91	3	models	model	NOUN
fcis-23824	91	4	include	include	VERB
fcis-23824	91	5	mean	mean	NOUN
fcis-23824	91	6	imputation	imputation	NOUN
fcis-23824	91	7	(	(	PUNCT
fcis-23824	91	8	mi	mi	NOUN
fcis-23824	91	9	)	)	PUNCT
fcis-23824	92	1	[	[	X
fcis-23824	92	2	7	7	NUM
fcis-23824	92	3	]	]	PUNCT
fcis-23824	92	4	,	,	PUNCT
fcis-23824	92	5	k	k	X
fcis-23824	92	6	-	-	PUNCT
fcis-23824	92	7	nearest	near	ADJ
fcis-23824	92	8	neighbors	neighbor	NOUN
fcis-23824	92	9	(	(	PUNCT
fcis-23824	92	10	knn	knn	PROPN
fcis-23824	92	11	)	)	PUNCT
fcis-23824	93	1	[	[	X
fcis-23824	93	2	8	8	NUM
fcis-23824	93	3	]	]	PUNCT
fcis-23824	93	4	,	,	PUNCT
fcis-23824	93	5	autoencoder	autoencoder	NOUN
fcis-23824	93	6	(	(	PUNCT
fcis-23824	93	7	ae	ae	PROPN
fcis-23824	93	8	)	)	PUNCT
fcis-23824	94	1	[	[	X
fcis-23824	94	2	9	9	NUM
fcis-23824	94	3	]	]	PUNCT
fcis-23824	94	4	,	,	PUNCT
fcis-23824	94	5	and	and	CCONJ
fcis-23824	94	6	generative	generative	VERB
fcis-23824	94	7	adversarial	adversarial	ADJ
fcis-23824	94	8	imputation	imputation	NOUN
fcis-23824	94	9	nets	net	NOUN
fcis-23824	94	10	(	(	PUNCT
fcis-23824	94	11	gain	gain	NOUN
fcis-23824	94	12	)	)	PUNCT
fcis-23824	95	1	[	[	X
fcis-23824	95	2	10	10	NUM
fcis-23824	95	3	]	]	PUNCT
fcis-23824	95	4	.	.	PUNCT
fcis-23824	96	1	3.3	3.3	NUM
fcis-23824	96	2	.	.	PUNCT
fcis-23824	97	1	experimental	experimental	ADJ
fcis-23824	97	2	parameter	parameter	NOUN
fcis-23824	97	3	settings	setting	NOUN
fcis-23824	97	4	in	in	ADP
fcis-23824	97	5	the	the	DET
fcis-23824	97	6	experiment	experiment	NOUN
fcis-23824	97	7	,	,	PUNCT
fcis-23824	97	8	repconv	repconv	NOUN
fcis-23824	97	9	-	-	PUNCT
fcis-23824	97	10	rnn	rnn	PROPN
fcis-23824	97	11	-	-	PUNCT
fcis-23824	97	12	ae	ae	PROPN
fcis-23824	97	13	uses	use	VERB
fcis-23824	97	14	the	the	DET
fcis-23824	97	15	crossentropy	crossentropy	NOUN
fcis-23824	97	16	loss	loss	NOUN
fcis-23824	97	17	function	function	NOUN
fcis-23824	97	18	.	.	PUNCT
fcis-23824	98	1	specifically	specifically	ADV
fcis-23824	98	2	,	,	PUNCT
fcis-23824	98	3	the	the	DET
fcis-23824	98	4	loss	loss	NOUN
fcis-23824	98	5	function	function	NOUN
fcis-23824	98	6	consists	consist	VERB
fcis-23824	98	7	of	of	ADP
fcis-23824	98	8	two	two	NUM
fcis-23824	98	9	parts	part	NOUN
fcis-23824	98	10	:	:	PUNCT
fcis-23824	98	11	missing	miss	VERB
fcis-23824	98	12	data	datum	NOUN
fcis-23824	98	13	completion	completion	NOUN
fcis-23824	98	14	loss	loss	NOUN
fcis-23824	98	15	and	and	CCONJ
fcis-23824	98	16	overall	overall	ADJ
fcis-23824	98	17	data	datum	NOUN
fcis-23824	98	18	loss	loss	NOUN
fcis-23824	98	19	.	.	PUNCT
fcis-23824	99	1	the	the	DET
fcis-23824	99	2	missing	miss	VERB
fcis-23824	99	3	data	data	NOUN
fcis-23824	99	4	completion	completion	NOUN
fcis-23824	99	5	loss	loss	NOUN
fcis-23824	99	6	calculates	calculate	VERB
fcis-23824	99	7	the	the	DET
fcis-23824	99	8	crossentropy	crossentropy	NOUN
fcis-23824	99	9	loss	loss	NOUN
fcis-23824	99	10	only	only	ADV
fcis-23824	99	11	for	for	ADP
fcis-23824	99	12	the	the	DET
fcis-23824	99	13	missing	miss	VERB
fcis-23824	99	14	data	datum	NOUN
fcis-23824	99	15	that	that	PRON
fcis-23824	99	16	needs	need	VERB
fcis-23824	99	17	to	to	PART
fcis-23824	99	18	be	be	AUX
fcis-23824	99	19	completed	complete	VERB
fcis-23824	99	20	and	and	CCONJ
fcis-23824	99	21	assigns	assign	VERB
fcis-23824	99	22	it	it	PRON
fcis-23824	99	23	a	a	DET
fcis-23824	99	24	higher	high	ADJ
fcis-23824	99	25	weight	weight	NOUN
fcis-23824	99	26	(	(	PUNCT
fcis-23824	99	27	set	set	VERB
fcis-23824	99	28	to	to	ADP
fcis-23824	99	29	2	2	NUM
fcis-23824	99	30	)	)	PUNCT
fcis-23824	99	31	.	.	PUNCT
fcis-23824	100	1	the	the	DET
fcis-23824	100	2	overall	overall	ADJ
fcis-23824	100	3	data	datum	NOUN
fcis-23824	100	4	loss	loss	NOUN
fcis-23824	100	5	calculates	calculate	VERB
fcis-23824	100	6	the	the	DET
fcis-23824	100	7	cross	cross	ADJ
fcis-23824	100	8	-	-	ADJ
fcis-23824	100	9	entropy	entropy	ADJ
fcis-23824	100	10	loss	loss	NOUN
fcis-23824	100	11	over	over	ADP
fcis-23824	100	12	the	the	DET
fcis-23824	100	13	entire	entire	ADJ
fcis-23824	100	14	output	output	NOUN
fcis-23824	100	15	data	datum	NOUN
fcis-23824	100	16	.	.	PUNCT
fcis-23824	101	1	the	the	DET
fcis-23824	101	2	final	final	ADJ
fcis-23824	101	3	loss	loss	NOUN
fcis-23824	101	4	function	function	NOUN
fcis-23824	101	5	is	be	AUX
fcis-23824	101	6	the	the	DET
fcis-23824	101	7	weighted	weighted	ADJ
fcis-23824	101	8	sum	sum	NOUN
fcis-23824	101	9	of	of	ADP
fcis-23824	101	10	these	these	DET
fcis-23824	101	11	two	two	NUM
fcis-23824	101	12	parts	part	NOUN
fcis-23824	101	13	.	.	PUNCT
fcis-23824	102	1	in	in	ADP
fcis-23824	102	2	the	the	DET
fcis-23824	102	3	experiment	experiment	NOUN
fcis-23824	102	4	,	,	PUNCT
fcis-23824	102	5	the	the	DET
fcis-23824	102	6	data	datum	NOUN
fcis-23824	102	7	missing	miss	VERB
fcis-23824	102	8	rate	rate	NOUN
fcis-23824	102	9	for	for	ADP
fcis-23824	102	10	the	the	DET
fcis-23824	102	11	theft	theft	NOUN
fcis-23824	102	12	case	case	NOUN
fcis-23824	102	13	dataset	dataset	NOUN
fcis-23824	102	14	is	be	AUX
fcis-23824	102	15	set	set	VERB
fcis-23824	102	16	to	to	ADP
fcis-23824	102	17	30	30	NUM
fcis-23824	102	18	%	%	NOUN
fcis-23824	102	19	to	to	PART
fcis-23824	102	20	simulate	simulate	VERB
fcis-23824	102	21	the	the	DET
fcis-23824	102	22	missing	miss	VERB
fcis-23824	102	23	data	data	NOUN
fcis-23824	102	24	situation	situation	NOUN
fcis-23824	102	25	in	in	ADP
fcis-23824	102	26	real	real	ADJ
fcis-23824	102	27	-	-	PUNCT
fcis-23824	102	28	world	world	NOUN
fcis-23824	102	29	theft	theft	NOUN
fcis-23824	102	30	cases	case	NOUN
fcis-23824	102	31	.	.	PUNCT
fcis-23824	103	1	a	a	DET
fcis-23824	103	2	continuous	continuous	ADJ
fcis-23824	103	3	sequence	sequence	NOUN
fcis-23824	103	4	of	of	ADP
fcis-23824	103	5	32	32	NUM
fcis-23824	103	6	car	car	NOUN
fcis-23824	103	7	interior	interior	ADJ
fcis-23824	103	8	theft	theft	NOUN
fcis-23824	103	9	case	case	NOUN
fcis-23824	103	10	records	record	NOUN
fcis-23824	103	11	is	be	AUX
fcis-23824	103	12	used	use	VERB
fcis-23824	103	13	as	as	ADP
fcis-23824	103	14	a	a	DET
fcis-23824	103	15	sample	sample	NOUN
fcis-23824	103	16	,	,	PUNCT
fcis-23824	103	17	and	and	CCONJ
fcis-23824	103	18	data	datum	NOUN
fcis-23824	103	19	completion	completion	NOUN
fcis-23824	103	20	is	be	AUX
fcis-23824	103	21	performed	perform	VERB
fcis-23824	103	22	for	for	ADP
fcis-23824	103	23	the	the	DET
fcis-23824	103	24	missing	miss	VERB
fcis-23824	103	25	field	field	NOUN
fcis-23824	103	26	values	value	NOUN
fcis-23824	103	27	in	in	ADP
fcis-23824	103	28	the	the	DET
fcis-23824	103	29	sample	sample	NOUN
fcis-23824	103	30	records	record	NOUN
fcis-23824	103	31	.	.	PUNCT
fcis-23824	104	1	4	4	NUM
fcis-23824	104	2	3.4	3.4	NUM
fcis-23824	104	3	.	.	PUNCT
fcis-23824	105	1	experimental	experimental	ADJ
fcis-23824	105	2	evaluation	evaluation	NOUN
fcis-23824	105	3	metrics	metric	NOUN
fcis-23824	105	4	in	in	ADP
fcis-23824	105	5	the	the	DET
fcis-23824	105	6	experiment	experiment	NOUN
fcis-23824	105	7	,	,	PUNCT
fcis-23824	105	8	accuracy	accuracy	NOUN
fcis-23824	105	9	,	,	PUNCT
fcis-23824	105	10	precision	precision	NOUN
fcis-23824	105	11	,	,	PUNCT
fcis-23824	105	12	recall	recall	NOUN
fcis-23824	105	13	,	,	PUNCT
fcis-23824	105	14	and	and	CCONJ
fcis-23824	105	15	f1	f1	NOUN
fcis-23824	105	16	score	score	NOUN
fcis-23824	105	17	are	be	AUX
fcis-23824	105	18	selected	select	VERB
fcis-23824	105	19	as	as	ADP
fcis-23824	105	20	the	the	DET
fcis-23824	105	21	evaluation	evaluation	NOUN
fcis-23824	105	22	metrics	metric	NOUN
fcis-23824	105	23	for	for	ADP
fcis-23824	105	24	data	data	NOUN
fcis-23824	105	25	completion	completion	NOUN
fcis-23824	105	26	of	of	ADP
fcis-23824	105	27	car	car	NOUN
fcis-23824	105	28	interior	interior	ADJ
fcis-23824	105	29	theft	theft	NOUN
fcis-23824	105	30	cases	case	NOUN
fcis-23824	105	31	.	.	PUNCT
fcis-23824	106	1	to	to	PART
fcis-23824	106	2	ensure	ensure	VERB
fcis-23824	106	3	comprehensiveness	comprehensiveness	NOUN
fcis-23824	106	4	and	and	CCONJ
fcis-23824	106	5	fairness	fairness	NOUN
fcis-23824	106	6	of	of	ADP
fcis-23824	106	7	the	the	DET
fcis-23824	106	8	evaluation	evaluation	NOUN
fcis-23824	106	9	,	,	PUNCT
fcis-23824	106	10	the	the	DET
fcis-23824	106	11	macro	macro	ADJ
fcis-23824	106	12	average	average	ADJ
fcis-23824	106	13	method	method	NOUN
fcis-23824	106	14	is	be	AUX
fcis-23824	106	15	used	use	VERB
fcis-23824	106	16	to	to	PART
fcis-23824	106	17	calculate	calculate	VERB
fcis-23824	106	18	precision	precision	NOUN
fcis-23824	106	19	,	,	PUNCT
fcis-23824	106	20	recall	recall	NOUN
fcis-23824	106	21	,	,	PUNCT
fcis-23824	106	22	and	and	CCONJ
fcis-23824	106	23	f1	f1	PROPN
fcis-23824	106	24	score	score	NOUN
fcis-23824	106	25	.	.	PUNCT
fcis-23824	107	1	3.5	3.5	NUM
fcis-23824	107	2	.	.	PUNCT
fcis-23824	108	1	experimental	experimental	ADJ
fcis-23824	108	2	results	result	NOUN
fcis-23824	108	3	and	and	CCONJ
fcis-23824	108	4	analysis	analysis	NOUN
fcis-23824	108	5	table	table	NOUN
fcis-23824	108	6	2	2	NUM
fcis-23824	108	7	shows	show	VERB
fcis-23824	108	8	the	the	DET
fcis-23824	108	9	experimental	experimental	ADJ
fcis-23824	108	10	results	result	NOUN
fcis-23824	108	11	of	of	ADP
fcis-23824	108	12	data	datum	NOUN
fcis-23824	108	13	completion	completion	NOUN
fcis-23824	108	14	for	for	ADP
fcis-23824	108	15	theft	theft	NOUN
fcis-23824	108	16	cases	case	NOUN
fcis-23824	108	17	using	use	VERB
fcis-23824	108	18	repconv	repconv	NOUN
fcis-23824	108	19	-	-	PUNCT
fcis-23824	108	20	rnn	rnn	PROPN
fcis-23824	108	21	-	-	PUNCT
fcis-23824	108	22	ae	ae	PROPN
fcis-23824	108	23	and	and	CCONJ
fcis-23824	108	24	other	other	ADJ
fcis-23824	108	25	data	datum	NOUN
fcis-23824	108	26	completion	completion	NOUN
fcis-23824	108	27	models	model	NOUN
fcis-23824	108	28	.	.	PUNCT
fcis-23824	109	1	table	table	NOUN
fcis-23824	109	2	2	2	NUM
fcis-23824	109	3	.	.	PUNCT
fcis-23824	109	4	comparison	comparison	NOUN
fcis-23824	109	5	of	of	ADP
fcis-23824	109	6	data	datum	NOUN
fcis-23824	109	7	completion	completion	NOUN
fcis-23824	109	8	results	result	NOUN
fcis-23824	109	9	for	for	ADP
fcis-23824	109	10	theft	theft	NOUN
fcis-23824	109	11	cases	case	NOUN
fcis-23824	109	12	using	use	VERB
fcis-23824	109	13	repconv	repconv	NOUN
fcis-23824	109	14	-	-	PUNCT
fcis-23824	109	15	rnn	rnn	PROPN
fcis-23824	109	16	-	-	PUNCT
fcis-23824	109	17	ae	ae	PROPN
fcis-23824	109	18	and	and	CCONJ
fcis-23824	109	19	other	other	ADJ
fcis-23824	109	20	models	model	NOUN
fcis-23824	109	21	model	model	NOUN
fcis-23824	109	22	name	name	NOUN
fcis-23824	109	23	evaluation	evaluation	NOUN
fcis-23824	109	24	metrics	metric	NOUN
fcis-23824	109	25	accuracy	accuracy	NOUN
fcis-23824	109	26	(	(	PUNCT
fcis-23824	109	27	%	%	INTJ
fcis-23824	109	28	)	)	PUNCT
fcis-23824	109	29	precision	precision	NOUN
fcis-23824	109	30	(	(	PUNCT
fcis-23824	109	31	%	%	INTJ
fcis-23824	109	32	)	)	PUNCT
fcis-23824	109	33	precision	precision	NOUN
fcis-23824	109	34	(	(	PUNCT
fcis-23824	109	35	%	%	INTJ
fcis-23824	109	36	)	)	PUNCT
fcis-23824	109	37	f1	f1	NOUN
fcis-23824	109	38	score	score	NOUN
fcis-23824	109	39	(	(	PUNCT
fcis-23824	109	40	%	%	INTJ
fcis-23824	109	41	)	)	PUNCT
fcis-23824	109	42	mi	mi	PROPN
fcis-23824	109	43	23.28	23.28	NUM
fcis-23824	109	44	19.94	19.94	NUM
fcis-23824	109	45	17.55	17.55	NUM
fcis-23824	109	46	18.67	18.67	NUM
fcis-23824	109	47	knn	knn	NOUN
fcis-23824	110	1	45.52	45.52	NUM
fcis-23824	110	2	41.47	41.47	NUM
fcis-23824	110	3	39.51	39.51	NUM
fcis-23824	110	4	40.47	40.47	NUM
fcis-23824	110	5	gain	gain	NOUN
fcis-23824	110	6	51.13	51.13	NUM
fcis-23824	110	7	45.04	45.04	NUM
fcis-23824	110	8	45.16	45.16	NUM
fcis-23824	110	9	45.10	45.10	NUM
fcis-23824	110	10	ae	ae	PROPN
fcis-23824	110	11	52.81	52.81	NUM
fcis-23824	110	12	47.72	47.72	NUM
fcis-23824	110	13	44.28	44.28	NUM
fcis-23824	110	14	45.94	45.94	NUM
fcis-23824	110	15	repconv	repconv	PROPN
fcis-23824	110	16	-	-	PUNCT
fcis-23824	110	17	rnn	rnn	PROPN
fcis-23824	110	18	-	-	PUNCT
fcis-23824	110	19	ae	ae	PROPN
fcis-23824	110	20	60.34	60.34	NUM
fcis-23824	110	21	56.51	56.51	NUM
fcis-23824	110	22	56.14	56.14	NUM
fcis-23824	110	23	56.32	56.32	NUM
fcis-23824	110	24	the	the	DET
fcis-23824	110	25	experimental	experimental	ADJ
fcis-23824	110	26	results	result	NOUN
fcis-23824	110	27	in	in	ADP
fcis-23824	110	28	table	table	NOUN
fcis-23824	110	29	2	2	NUM
fcis-23824	110	30	indicate	indicate	VERB
fcis-23824	110	31	that	that	SCONJ
fcis-23824	110	32	in	in	ADP
fcis-23824	110	33	terms	term	NOUN
fcis-23824	110	34	of	of	ADP
fcis-23824	110	35	data	datum	NOUN
fcis-23824	110	36	completion	completion	NOUN
fcis-23824	110	37	for	for	ADP
fcis-23824	110	38	car	car	NOUN
fcis-23824	110	39	interior	interior	ADJ
fcis-23824	110	40	theft	theft	NOUN
fcis-23824	110	41	cases	case	NOUN
fcis-23824	110	42	,	,	PUNCT
fcis-23824	110	43	the	the	DET
fcis-23824	110	44	mi	mi	PROPN
fcis-23824	110	45	model	model	NOUN
fcis-23824	110	46	performs	perform	VERB
fcis-23824	110	47	the	the	DET
fcis-23824	110	48	worst	bad	ADJ
fcis-23824	110	49	,	,	PUNCT
fcis-23824	110	50	with	with	ADP
fcis-23824	110	51	all	all	DET
fcis-23824	110	52	evaluation	evaluation	NOUN
fcis-23824	110	53	metrics	metric	NOUN
fcis-23824	110	54	significantly	significantly	ADV
fcis-23824	110	55	lower	low	ADJ
fcis-23824	110	56	than	than	ADP
fcis-23824	110	57	those	those	PRON
fcis-23824	110	58	of	of	ADP
fcis-23824	110	59	the	the	DET
fcis-23824	110	60	other	other	ADJ
fcis-23824	110	61	models	model	NOUN
fcis-23824	110	62	,	,	PUNCT
fcis-23824	110	63	demonstrating	demonstrate	VERB
fcis-23824	110	64	its	its	PRON
fcis-23824	110	65	inability	inability	NOUN
fcis-23824	110	66	to	to	PART
fcis-23824	110	67	effectively	effectively	ADV
fcis-23824	110	68	complete	complete	VERB
fcis-23824	110	69	the	the	DET
fcis-23824	110	70	missing	miss	VERB
fcis-23824	110	71	data	datum	NOUN
fcis-23824	110	72	in	in	ADP
fcis-23824	110	73	car	car	NOUN
fcis-23824	110	74	interior	interior	ADJ
fcis-23824	110	75	theft	theft	NOUN
fcis-23824	110	76	cases	case	NOUN
fcis-23824	110	77	.	.	PUNCT
fcis-23824	111	1	the	the	DET
fcis-23824	111	2	knn	knn	PROPN
fcis-23824	111	3	model	model	PROPN
fcis-23824	111	4	shows	show	VERB
fcis-23824	111	5	significant	significant	ADJ
fcis-23824	111	6	improvement	improvement	NOUN
fcis-23824	111	7	in	in	ADP
fcis-23824	111	8	data	datum	NOUN
fcis-23824	111	9	completion	completion	NOUN
fcis-23824	111	10	performance	performance	NOUN
fcis-23824	111	11	for	for	ADP
fcis-23824	111	12	car	car	NOUN
fcis-23824	111	13	interior	interior	ADJ
fcis-23824	111	14	theft	theft	NOUN
fcis-23824	111	15	cases	case	NOUN
fcis-23824	111	16	compared	compare	VERB
fcis-23824	111	17	to	to	ADP
fcis-23824	111	18	the	the	DET
fcis-23824	111	19	mi	mi	PROPN
fcis-23824	111	20	model	model	NOUN
fcis-23824	111	21	,	,	PUNCT
fcis-23824	111	22	but	but	CCONJ
fcis-23824	111	23	its	its	PRON
fcis-23824	111	24	evaluation	evaluation	NOUN
fcis-23824	111	25	metrics	metric	NOUN
fcis-23824	111	26	are	be	AUX
fcis-23824	111	27	still	still	ADV
fcis-23824	111	28	not	not	PART
fcis-23824	111	29	high	high	ADJ
fcis-23824	111	30	,	,	PUNCT
fcis-23824	111	31	highlighting	highlight	VERB
fcis-23824	111	32	the	the	DET
fcis-23824	111	33	limitations	limitation	NOUN
fcis-23824	111	34	of	of	ADP
fcis-23824	111	35	distance	distance	NOUN
fcis-23824	111	36	-	-	PUNCT
fcis-23824	111	37	based	base	VERB
fcis-23824	111	38	imputation	imputation	NOUN
fcis-23824	111	39	methods	method	NOUN
fcis-23824	111	40	(	(	PUNCT
fcis-23824	111	41	such	such	ADJ
fcis-23824	111	42	as	as	ADP
fcis-23824	111	43	knn	knn	PROPN
fcis-23824	111	44	)	)	PUNCT
fcis-23824	111	45	under	under	ADP
fcis-23824	111	46	high	high	ADJ
fcis-23824	111	47	missing	miss	VERB
fcis-23824	111	48	rates	rate	NOUN
fcis-23824	111	49	.	.	PUNCT
fcis-23824	112	1	the	the	DET
fcis-23824	112	2	gain	gain	NOUN
fcis-23824	112	3	model	model	NOUN
fcis-23824	112	4	shows	show	VERB
fcis-23824	112	5	improvement	improvement	NOUN
fcis-23824	112	6	in	in	ADP
fcis-23824	112	7	all	all	DET
fcis-23824	112	8	evaluation	evaluation	NOUN
fcis-23824	112	9	metrics	metric	NOUN
fcis-23824	112	10	for	for	ADP
fcis-23824	112	11	data	data	NOUN
fcis-23824	112	12	completion	completion	NOUN
fcis-23824	112	13	of	of	ADP
fcis-23824	112	14	car	car	NOUN
fcis-23824	112	15	interior	interior	ADJ
fcis-23824	112	16	theft	theft	NOUN
fcis-23824	112	17	cases	case	NOUN
fcis-23824	112	18	compared	compare	VERB
fcis-23824	112	19	to	to	ADP
fcis-23824	112	20	the	the	DET
fcis-23824	112	21	mi	mi	PROPN
fcis-23824	112	22	and	and	CCONJ
fcis-23824	112	23	knn	knn	PROPN
fcis-23824	112	24	models	model	NOUN
fcis-23824	112	25	,	,	PUNCT
fcis-23824	112	26	particularly	particularly	ADV
fcis-23824	112	27	in	in	ADP
fcis-23824	112	28	precision	precision	NOUN
fcis-23824	112	29	and	and	CCONJ
fcis-23824	112	30	recall	recall	NOUN
fcis-23824	112	31	.	.	PUNCT
fcis-23824	113	1	this	this	PRON
fcis-23824	113	2	indicates	indicate	VERB
fcis-23824	113	3	that	that	SCONJ
fcis-23824	113	4	the	the	DET
fcis-23824	113	5	gain	gain	NOUN
fcis-23824	113	6	model	model	NOUN
fcis-23824	113	7	has	have	VERB
fcis-23824	113	8	certain	certain	ADJ
fcis-23824	113	9	advantages	advantage	NOUN
fcis-23824	113	10	in	in	ADP
fcis-23824	113	11	handling	handle	VERB
fcis-23824	113	12	missing	miss	VERB
fcis-23824	113	13	data	datum	NOUN
fcis-23824	113	14	in	in	ADP
fcis-23824	113	15	car	car	NOUN
fcis-23824	113	16	interior	interior	ADJ
fcis-23824	113	17	theft	theft	NOUN
fcis-23824	113	18	cases	case	NOUN
fcis-23824	113	19	,	,	PUNCT
fcis-23824	113	20	but	but	CCONJ
fcis-23824	113	21	its	its	PRON
fcis-23824	113	22	completion	completion	NOUN
fcis-23824	113	23	effect	effect	NOUN
fcis-23824	113	24	is	be	AUX
fcis-23824	113	25	still	still	ADV
fcis-23824	113	26	inferior	inferior	ADJ
fcis-23824	113	27	to	to	ADP
fcis-23824	113	28	the	the	DET
fcis-23824	113	29	ae	ae	PROPN
fcis-23824	113	30	and	and	CCONJ
fcis-23824	113	31	repconv	repconv	NOUN
fcis-23824	113	32	-	-	PUNCT
fcis-23824	113	33	rnn	rnn	PROPN
fcis-23824	113	34	-	-	PUNCT
fcis-23824	113	35	ae	ae	PROPN
fcis-23824	113	36	models	model	NOUN
fcis-23824	113	37	.	.	PUNCT
fcis-23824	114	1	the	the	DET
fcis-23824	114	2	ae	ae	PROPN
fcis-23824	114	3	model	model	NOUN
fcis-23824	114	4	performs	perform	VERB
fcis-23824	114	5	relatively	relatively	ADV
fcis-23824	114	6	well	well	ADV
fcis-23824	114	7	,	,	PUNCT
fcis-23824	114	8	especially	especially	ADV
fcis-23824	114	9	in	in	ADP
fcis-23824	114	10	precision	precision	NOUN
fcis-23824	114	11	and	and	CCONJ
fcis-23824	114	12	accuracy	accuracy	NOUN
fcis-23824	114	13	,	,	PUNCT
fcis-23824	114	14	but	but	CCONJ
fcis-23824	114	15	its	its	PRON
fcis-23824	114	16	recall	recall	NOUN
fcis-23824	114	17	is	be	AUX
fcis-23824	114	18	relatively	relatively	ADV
fcis-23824	114	19	low	low	ADJ
fcis-23824	114	20	,	,	PUNCT
fcis-23824	114	21	indicating	indicate	VERB
fcis-23824	114	22	that	that	SCONJ
fcis-23824	114	23	the	the	DET
fcis-23824	114	24	ae	ae	PROPN
fcis-23824	114	25	model	model	NOUN
fcis-23824	114	26	has	have	VERB
fcis-23824	114	27	a	a	DET
fcis-23824	114	28	certain	certain	ADJ
fcis-23824	114	29	degree	degree	NOUN
fcis-23824	114	30	of	of	ADP
fcis-23824	114	31	omission	omission	NOUN
fcis-23824	114	32	during	during	ADP
fcis-23824	114	33	data	datum	NOUN
fcis-23824	114	34	completion	completion	NOUN
fcis-23824	114	35	.	.	PUNCT
fcis-23824	115	1	repconvrnn	repconvrnn	NOUN
fcis-23824	115	2	-	-	PUNCT
fcis-23824	115	3	ae	ae	PROPN
fcis-23824	115	4	performs	perform	VERB
fcis-23824	115	5	the	the	DET
fcis-23824	115	6	best	good	ADJ
fcis-23824	115	7	among	among	ADP
fcis-23824	115	8	the	the	DET
fcis-23824	115	9	five	five	NUM
fcis-23824	115	10	models	model	NOUN
fcis-23824	115	11	,	,	PUNCT
fcis-23824	115	12	with	with	ADP
fcis-23824	115	13	all	all	DET
fcis-23824	115	14	evaluation	evaluation	NOUN
fcis-23824	115	15	metrics	metric	NOUN
fcis-23824	115	16	significantly	significantly	ADV
fcis-23824	115	17	higher	high	ADJ
fcis-23824	115	18	than	than	ADP
fcis-23824	115	19	those	those	PRON
fcis-23824	115	20	of	of	ADP
fcis-23824	115	21	the	the	DET
fcis-23824	115	22	other	other	ADJ
fcis-23824	115	23	models	model	NOUN
fcis-23824	115	24	,	,	PUNCT
fcis-23824	115	25	demonstrating	demonstrate	VERB
fcis-23824	115	26	its	its	PRON
fcis-23824	115	27	superiority	superiority	NOUN
fcis-23824	115	28	in	in	ADP
fcis-23824	115	29	completing	complete	VERB
fcis-23824	115	30	missing	miss	VERB
fcis-23824	115	31	data	datum	NOUN
fcis-23824	115	32	in	in	ADP
fcis-23824	115	33	car	car	NOUN
fcis-23824	115	34	interior	interior	ADJ
fcis-23824	115	35	theft	theft	NOUN
fcis-23824	115	36	cases	case	NOUN
fcis-23824	115	37	.	.	PUNCT
fcis-23824	116	1	4	4	X
fcis-23824	116	2	.	.	X
fcis-23824	116	3	summary	summary	VERB
fcis-23824	116	4	this	this	DET
fcis-23824	116	5	paper	paper	NOUN
fcis-23824	116	6	combines	combine	VERB
fcis-23824	116	7	a	a	DET
fcis-23824	116	8	re	re	ADJ
fcis-23824	116	9	-	-	ADJ
fcis-23824	116	10	parameterized	parameterized	ADJ
fcis-23824	116	11	convolutional	convolutional	ADJ
fcis-23824	116	12	neural	neural	ADJ
fcis-23824	116	13	network	network	NOUN
fcis-23824	116	14	(	(	PUNCT
fcis-23824	116	15	rep	rep	PROPN
fcis-23824	116	16	-	-	PROPN
fcis-23824	116	17	cnn	cnn	PROPN
fcis-23824	116	18	)	)	PUNCT
fcis-23824	116	19	,	,	PUNCT
fcis-23824	116	20	a	a	DET
fcis-23824	116	21	recurrent	recurrent	ADJ
fcis-23824	116	22	neural	neural	ADJ
fcis-23824	116	23	network	network	NOUN
fcis-23824	116	24	(	(	PUNCT
fcis-23824	116	25	rnn	rnn	PROPN
fcis-23824	116	26	)	)	PUNCT
fcis-23824	116	27	,	,	PUNCT
fcis-23824	116	28	and	and	CCONJ
fcis-23824	116	29	an	an	DET
fcis-23824	116	30	autoencoder	autoencoder	NOUN
fcis-23824	116	31	(	(	PUNCT
fcis-23824	116	32	ae	ae	PROPN
fcis-23824	116	33	)	)	PUNCT
fcis-23824	116	34	architecture	architecture	NOUN
fcis-23824	116	35	to	to	PART
fcis-23824	116	36	propose	propose	VERB
fcis-23824	116	37	a	a	DET
fcis-23824	116	38	data	data	NOUN
fcis-23824	116	39	completion	completion	NOUN
fcis-23824	116	40	model	model	NOUN
fcis-23824	116	41	for	for	ADP
fcis-23824	116	42	car	car	NOUN
fcis-23824	116	43	interior	interior	ADJ
fcis-23824	116	44	theft	theft	NOUN
fcis-23824	116	45	cases	case	NOUN
fcis-23824	116	46	.	.	PUNCT
fcis-23824	117	1	by	by	ADP
fcis-23824	117	2	integrating	integrate	VERB
fcis-23824	117	3	the	the	DET
fcis-23824	117	4	spatial	spatial	ADJ
fcis-23824	117	5	feature	feature	NOUN
fcis-23824	117	6	extraction	extraction	NOUN
fcis-23824	117	7	capabilities	capability	NOUN
fcis-23824	117	8	of	of	ADP
fcis-23824	117	9	repcnn	repcnn	NOUN
fcis-23824	117	10	,	,	PUNCT
fcis-23824	117	11	the	the	DET
fcis-23824	117	12	temporal	temporal	ADJ
fcis-23824	117	13	dependency	dependency	NOUN
fcis-23824	117	14	modeling	modeling	NOUN
fcis-23824	117	15	capabilities	capability	NOUN
fcis-23824	117	16	of	of	ADP
fcis-23824	117	17	rnn	rnn	NOUN
fcis-23824	117	18	,	,	PUNCT
fcis-23824	117	19	and	and	CCONJ
fcis-23824	117	20	the	the	DET
fcis-23824	117	21	data	datum	NOUN
fcis-23824	117	22	reconstruction	reconstruction	NOUN
fcis-23824	117	23	ability	ability	NOUN
fcis-23824	117	24	of	of	ADP
fcis-23824	117	25	ae	ae	PROPN
fcis-23824	117	26	,	,	PUNCT
fcis-23824	117	27	this	this	DET
fcis-23824	117	28	model	model	NOUN
fcis-23824	117	29	effectively	effectively	ADV
fcis-23824	117	30	addresses	address	VERB
fcis-23824	117	31	the	the	DET
fcis-23824	117	32	issue	issue	NOUN
fcis-23824	117	33	of	of	ADP
fcis-23824	117	34	missing	miss	VERB
fcis-23824	117	35	data	datum	NOUN
fcis-23824	117	36	in	in	ADP
fcis-23824	117	37	car	car	NOUN
fcis-23824	117	38	interior	interior	ADJ
fcis-23824	117	39	theft	theft	NOUN
fcis-23824	117	40	cases	case	NOUN
fcis-23824	117	41	.	.	PUNCT
fcis-23824	118	1	experimental	experimental	ADJ
fcis-23824	118	2	results	result	NOUN
fcis-23824	118	3	demonstrate	demonstrate	VERB
fcis-23824	118	4	that	that	SCONJ
fcis-23824	118	5	the	the	DET
fcis-23824	118	6	proposed	propose	VERB
fcis-23824	118	7	repconv	repconv	NOUN
fcis-23824	118	8	-	-	PUNCT
fcis-23824	118	9	rnn	rnn	PROPN
fcis-23824	118	10	-	-	PUNCT
fcis-23824	118	11	ae	ae	PROPN
fcis-23824	118	12	can	can	AUX
fcis-23824	118	13	effectively	effectively	ADV
fcis-23824	118	14	solve	solve	VERB
fcis-23824	118	15	the	the	DET
fcis-23824	118	16	missing	miss	VERB
fcis-23824	118	17	data	datum	NOUN
fcis-23824	118	18	problem	problem	NOUN
fcis-23824	118	19	in	in	ADP
fcis-23824	118	20	car	car	NOUN
fcis-23824	118	21	interior	interior	ADJ
fcis-23824	118	22	theft	theft	NOUN
fcis-23824	118	23	cases	case	NOUN
fcis-23824	118	24	and	and	CCONJ
fcis-23824	118	25	has	have	VERB
fcis-23824	118	26	certain	certain	ADJ
fcis-23824	118	27	advantages	advantage	NOUN
fcis-23824	118	28	in	in	ADP
fcis-23824	118	29	completing	complete	VERB
fcis-23824	118	30	missing	miss	VERB
fcis-23824	118	31	data	datum	NOUN
fcis-23824	118	32	in	in	ADP
fcis-23824	118	33	such	such	ADJ
fcis-23824	118	34	cases	case	NOUN
fcis-23824	118	35	.	.	PUNCT
fcis-23824	119	1	references	reference	NOUN
fcis-23824	119	2	[	[	X
fcis-23824	119	3	1	1	NUM
fcis-23824	119	4	]	]	PUNCT
fcis-23824	119	5	taleb	taleb	PROPN
fcis-23824	119	6	i	i	PROPN
fcis-23824	119	7	,	,	PUNCT
fcis-23824	119	8	serhani	serhani	PROPN
fcis-23824	119	9	m	m	PROPN
fcis-23824	119	10	a	a	PRON
fcis-23824	119	11	,	,	PUNCT
fcis-23824	119	12	dssouli	dssouli	PROPN
fcis-23824	119	13	r.	r.	PROPN
fcis-23824	119	14	big	big	PROPN
fcis-23824	119	15	data	data	PROPN
fcis-23824	119	16	quality	quality	NOUN
fcis-23824	119	17	:	:	PUNCT
fcis-23824	119	18	a	a	DET
fcis-23824	119	19	survey	survey	NOUN
fcis-23824	119	20	.	.	PUNCT
fcis-23824	120	1	2018	2018	NUM
fcis-23824	120	2	ieee	ieee	PROPN
fcis-23824	120	3	international	international	PROPN
fcis-23824	120	4	congress	congress	PROPN
fcis-23824	120	5	on	on	ADP
fcis-23824	120	6	big	big	ADJ
fcis-23824	120	7	data	datum	NOUN
fcis-23824	120	8	(	(	PUNCT
fcis-23824	120	9	bigdata	bigdata	PROPN
fcis-23824	120	10	congress	congress	PROPN
fcis-23824	120	11	)	)	PUNCT
fcis-23824	120	12	.	.	PUNCT
fcis-23824	121	1	ieee	ieee	NOUN
fcis-23824	121	2	,	,	PUNCT
fcis-23824	121	3	2018	2018	NUM
fcis-23824	121	4	:	:	PUNCT
fcis-23824	121	5	166	166	NUM
fcis-23824	121	6	-	-	SYM
fcis-23824	121	7	173	173	NUM
fcis-23824	121	8	.	.	PUNCT
fcis-23824	122	1	[	[	X
fcis-23824	122	2	2	2	NUM
fcis-23824	122	3	]	]	PUNCT
fcis-23824	122	4	dong	dong	PROPN
fcis-23824	122	5	y	y	PROPN
fcis-23824	122	6	,	,	PUNCT
fcis-23824	122	7	peng	peng	PROPN
fcis-23824	122	8	c	c	PROPN
fcis-23824	122	9	y	y	PROPN
fcis-23824	122	10	j.	j.	PROPN
fcis-23824	122	11	principled	principle	VERB
fcis-23824	122	12	missing	miss	VERB
fcis-23824	122	13	data	datum	NOUN
fcis-23824	122	14	methods	method	NOUN
fcis-23824	122	15	for	for	ADP
fcis-23824	122	16	researchers	researcher	NOUN
fcis-23824	122	17	.	.	PUNCT
fcis-23824	123	1	springerplus	springerplus	PROPN
fcis-23824	123	2	,	,	PUNCT
fcis-23824	123	3	2013	2013	NUM
fcis-23824	123	4	,	,	PUNCT
fcis-23824	123	5	2	2	NUM
fcis-23824	123	6	:	:	SYM
fcis-23824	123	7	222	222	NUM
fcis-23824	123	8	.	.	PUNCT
fcis-23824	124	1	[	[	X
fcis-23824	124	2	3	3	X
fcis-23824	124	3	]	]	X
fcis-23824	124	4	laranjeiro	laranjeiro	NOUN
fcis-23824	124	5	n	n	CCONJ
fcis-23824	124	6	,	,	PUNCT
fcis-23824	124	7	soydemir	soydemir	NOUN
fcis-23824	124	8	s	s	PROPN
fcis-23824	124	9	n	n	CCONJ
fcis-23824	124	10	,	,	PUNCT
fcis-23824	124	11	bernardino	bernardino	PROPN
fcis-23824	124	12	j.	j.	PROPN
fcis-23824	124	13	a	a	DET
fcis-23824	124	14	survey	survey	NOUN
fcis-23824	124	15	on	on	ADP
fcis-23824	124	16	data	datum	NOUN
fcis-23824	124	17	quality	quality	NOUN
fcis-23824	124	18	:	:	PUNCT
fcis-23824	124	19	classifying	classify	VERB
fcis-23824	124	20	poor	poor	ADJ
fcis-23824	124	21	data	datum	NOUN
fcis-23824	124	22	.	.	PUNCT
fcis-23824	124	23	2015	2015	NUM
fcis-23824	124	24	ieee	ieee	PROPN
fcis-23824	124	25	21st	21st	PROPN
fcis-23824	124	26	pacific	pacific	PROPN
fcis-23824	124	27	rim	rim	PROPN
fcis-23824	124	28	international	international	ADJ
fcis-23824	124	29	symposium	symposium	NOUN
fcis-23824	124	30	on	on	ADP
fcis-23824	124	31	dependable	dependable	ADJ
fcis-23824	124	32	computing	computing	NOUN
fcis-23824	124	33	(	(	PUNCT
fcis-23824	124	34	prdc	prdc	NOUN
fcis-23824	124	35	)	)	PUNCT
fcis-23824	124	36	.	.	PUNCT
fcis-23824	125	1	ieee	ieee	PROPN
fcis-23824	125	2	,	,	PUNCT
fcis-23824	125	3	2015	2015	NUM
fcis-23824	125	4	:	:	PUNCT
fcis-23824	125	5	179	179	NUM
fcis-23824	125	6	-	-	SYM
fcis-23824	125	7	188	188	NUM
fcis-23824	125	8	.	.	PUNCT
fcis-23824	126	1	[	[	X
fcis-23824	126	2	4	4	X
fcis-23824	126	3	]	]	X
fcis-23824	126	4	ding	ding	NOUN
fcis-23824	126	5	x	x	SYM
fcis-23824	126	6	,	,	PUNCT
fcis-23824	126	7	zhang	zhang	PROPN
fcis-23824	126	8	x	x	PROPN
fcis-23824	126	9	,	,	PUNCT
fcis-23824	126	10	ma	ma	PROPN
fcis-23824	126	11	n	n	PROPN
fcis-23824	126	12	,	,	PUNCT
fcis-23824	126	13	et	et	PROPN
fcis-23824	126	14	al	al	PROPN
fcis-23824	126	15	.	.	PROPN
fcis-23824	126	16	repvgg	repvgg	PROPN
fcis-23824	126	17	:	:	PUNCT
fcis-23824	126	18	making	make	VERB
fcis-23824	126	19	vgg	vgg	ADJ
fcis-23824	126	20	-	-	PUNCT
fcis-23824	126	21	style	style	NOUN
fcis-23824	126	22	convnets	convnet	NOUN
fcis-23824	126	23	great	great	ADJ
fcis-23824	126	24	again	again	ADV
fcis-23824	126	25	.	.	PUNCT
fcis-23824	127	1	proceedings	proceeding	NOUN
fcis-23824	127	2	of	of	ADP
fcis-23824	127	3	the	the	DET
fcis-23824	127	4	ieee	ieee	NOUN
fcis-23824	127	5	/	/	SYM
fcis-23824	127	6	cvf	cvf	NOUN
fcis-23824	127	7	conference	conference	NOUN
fcis-23824	127	8	on	on	ADP
fcis-23824	127	9	computer	computer	NOUN
fcis-23824	127	10	vision	vision	NOUN
fcis-23824	127	11	and	and	CCONJ
fcis-23824	127	12	pattern	pattern	NOUN
fcis-23824	127	13	recognition	recognition	NOUN
fcis-23824	127	14	(	(	PUNCT
fcis-23824	127	15	cvpr	cvpr	NOUN
fcis-23824	127	16	)	)	PUNCT
fcis-23824	127	17	.	.	PUNCT
fcis-23824	128	1	ieee	ieee	NOUN
fcis-23824	128	2	,	,	PUNCT
fcis-23824	128	3	2021	2021	NUM
fcis-23824	128	4	:	:	PUNCT
fcis-23824	128	5	13733	13733	NUM
fcis-23824	128	6	-	-	SYM
fcis-23824	128	7	13742	13742	NUM
fcis-23824	128	8	.	.	PUNCT
fcis-23824	129	1	[	[	X
fcis-23824	129	2	5	5	NUM
fcis-23824	129	3	]	]	X
fcis-23824	129	4	sherstinsky	sherstinsky	ADJ
fcis-23824	129	5	a.	a.	NOUN
fcis-23824	129	6	fundamentals	fundamental	NOUN
fcis-23824	129	7	of	of	ADP
fcis-23824	129	8	recurrent	recurrent	ADJ
fcis-23824	129	9	neural	neural	ADJ
fcis-23824	129	10	network	network	NOUN
fcis-23824	129	11	(	(	PUNCT
fcis-23824	129	12	rnn	rnn	PROPN
fcis-23824	129	13	)	)	PUNCT
fcis-23824	129	14	and	and	CCONJ
fcis-23824	129	15	long	long	ADJ
fcis-23824	129	16	short	short	ADJ
fcis-23824	129	17	-	-	PUNCT
fcis-23824	129	18	term	term	NOUN
fcis-23824	129	19	memory	memory	NOUN
fcis-23824	129	20	(	(	PUNCT
fcis-23824	129	21	lstm	lstm	NOUN
fcis-23824	129	22	)	)	PUNCT
fcis-23824	129	23	network	network	NOUN
fcis-23824	129	24	.	.	PUNCT
fcis-23824	130	1	physica	physica	PROPN
fcis-23824	130	2	d	d	NOUN
fcis-23824	130	3	:	:	PUNCT
fcis-23824	130	4	nonlinear	nonlinear	ADJ
fcis-23824	130	5	phenomena	phenomenon	NOUN
fcis-23824	130	6	,	,	PUNCT
fcis-23824	130	7	2020	2020	NUM
fcis-23824	130	8	,	,	PUNCT
fcis-23824	130	9	404	404	NUM
fcis-23824	130	10	:	:	PUNCT
fcis-23824	130	11	132306	132306	NUM
fcis-23824	130	12	.	.	PUNCT
fcis-23824	131	1	[	[	X
fcis-23824	131	2	6	6	NUM
fcis-23824	131	3	]	]	X
fcis-23824	131	4	chen	chen	PROPN
fcis-23824	131	5	s	s	PROPN
fcis-23824	131	6	,	,	PUNCT
fcis-23824	131	7	guo	guo	PROPN
fcis-23824	131	8	w.	w.	PROPN
fcis-23824	131	9	auto	auto	PROPN
fcis-23824	131	10	-	-	PUNCT
fcis-23824	131	11	encoders	encoder	NOUN
fcis-23824	131	12	in	in	ADP
fcis-23824	131	13	deep	deep	ADJ
fcis-23824	131	14	learning	learning	NOUN
fcis-23824	131	15	—	—	PUNCT
fcis-23824	131	16	a	a	DET
fcis-23824	131	17	review	review	NOUN
fcis-23824	131	18	with	with	ADP
fcis-23824	131	19	new	new	ADJ
fcis-23824	131	20	perspectives	perspective	NOUN
fcis-23824	131	21	.	.	PUNCT
fcis-23824	132	1	mathematics	mathematic	NOUN
fcis-23824	132	2	,	,	PUNCT
fcis-23824	132	3	2023	2023	NUM
fcis-23824	132	4	,	,	PUNCT
fcis-23824	132	5	11(8	11(8	NUM
fcis-23824	132	6	):	):	PUNCT
fcis-23824	132	7	1777	1777	NUM
fcis-23824	132	8	.	.	PUNCT
fcis-23824	133	1	[	[	X
fcis-23824	133	2	7	7	X
fcis-23824	133	3	]	]	X
fcis-23824	133	4	zhang	zhang	PROPN
fcis-23824	133	5	z.	z.	PROPN
fcis-23824	133	6	missing	miss	VERB
fcis-23824	133	7	data	data	NOUN
fcis-23824	133	8	imputation	imputation	NOUN
fcis-23824	133	9	:	:	PUNCT
fcis-23824	133	10	focusing	focus	VERB
fcis-23824	133	11	on	on	ADP
fcis-23824	133	12	single	single	ADJ
fcis-23824	133	13	imputation	imputation	NOUN
fcis-23824	133	14	.	.	PUNCT
fcis-23824	134	1	annals	annal	NOUN
fcis-23824	134	2	of	of	ADP
fcis-23824	134	3	translational	translational	ADJ
fcis-23824	134	4	medicine	medicine	NOUN
fcis-23824	134	5	,	,	PUNCT
fcis-23824	134	6	2016	2016	NUM
fcis-23824	134	7	,	,	PUNCT
fcis-23824	134	8	4(1	4(1	NOUN
fcis-23824	134	9	):	):	PUNCT
fcis-23824	134	10	9	9	NUM
fcis-23824	134	11	.	.	PUNCT
fcis-23824	135	1	[	[	X
fcis-23824	135	2	8	8	NUM
fcis-23824	135	3	]	]	X
fcis-23824	135	4	murti	murti	PROPN
fcis-23824	136	1	d	d	X
fcis-23824	136	2	m	m	VERB
fcis-23824	136	3	p	p	X
fcis-23824	136	4	,	,	PUNCT
fcis-23824	136	5	wibawa	wibawa	PROPN
fcis-23824	136	6	a	a	DET
fcis-23824	136	7	p	p	X
fcis-23824	136	8	,	,	PUNCT
fcis-23824	136	9	akbar	akbar	PROPN
fcis-23824	136	10	m	m	PROPN
fcis-23824	136	11	i.	i.	PROPN
fcis-23824	137	1	k	k	NOUN
fcis-23824	137	2	-	-	PUNCT
fcis-23824	137	3	nearest	near	ADJ
fcis-23824	137	4	neighbor	neighbor	NOUN
fcis-23824	137	5	(	(	PUNCT
fcis-23824	137	6	k	k	PROPN
fcis-23824	137	7	-	-	PUNCT
fcis-23824	137	8	nn	nn	NOUN
fcis-23824	137	9	)	)	PUNCT
fcis-23824	137	10	based	base	VERB
fcis-23824	137	11	missing	miss	VERB
fcis-23824	137	12	data	data	NOUN
fcis-23824	137	13	imputation	imputation	NOUN
fcis-23824	137	14	.	.	PUNCT
fcis-23824	138	1	2019	2019	NUM
fcis-23824	138	2	5th	5th	ADJ
fcis-23824	138	3	international	international	ADJ
fcis-23824	138	4	conference	conference	NOUN
fcis-23824	138	5	on	on	ADP
fcis-23824	138	6	science	science	NOUN
fcis-23824	138	7	in	in	ADP
fcis-23824	138	8	information	information	NOUN
fcis-23824	138	9	technology	technology	NOUN
fcis-23824	138	10	(	(	PUNCT
fcis-23824	138	11	icsitech	icsitech	PROPN
fcis-23824	138	12	)	)	PUNCT
fcis-23824	138	13	.	.	PUNCT
fcis-23824	139	1	ieee	ieee	PROPN
fcis-23824	139	2	,	,	PUNCT
fcis-23824	139	3	2019	2019	NUM
fcis-23824	139	4	:	:	PUNCT
fcis-23824	139	5	83	83	NUM
fcis-23824	139	6	-	-	SYM
fcis-23824	139	7	88	88	NUM
fcis-23824	139	8	.	.	PUNCT
fcis-23824	140	1	[	[	X
fcis-23824	140	2	9	9	NUM
fcis-23824	140	3	]	]	X
fcis-23824	140	4	chen	chen	PROPN
fcis-23824	140	5	s	s	PROPN
fcis-23824	140	6	,	,	PUNCT
fcis-23824	140	7	guo	guo	PROPN
fcis-23824	140	8	w.	w.	PROPN
fcis-23824	140	9	auto	auto	PROPN
fcis-23824	140	10	-	-	PUNCT
fcis-23824	140	11	encoders	encoder	NOUN
fcis-23824	140	12	in	in	ADP
fcis-23824	140	13	deep	deep	ADJ
fcis-23824	140	14	learning	learning	NOUN
fcis-23824	140	15	—	—	PUNCT
fcis-23824	140	16	a	a	DET
fcis-23824	140	17	review	review	NOUN
fcis-23824	140	18	with	with	ADP
fcis-23824	140	19	new	new	ADJ
fcis-23824	140	20	perspectives	perspective	NOUN
fcis-23824	140	21	.	.	PUNCT
fcis-23824	141	1	mathematics	mathematic	NOUN
fcis-23824	141	2	,	,	PUNCT
fcis-23824	141	3	2023	2023	NUM
fcis-23824	141	4	,	,	PUNCT
fcis-23824	141	5	11(8	11(8	NUM
fcis-23824	141	6	):	):	PUNCT
fcis-23824	141	7	1777	1777	NUM
fcis-23824	141	8	.	.	PUNCT
fcis-23824	142	1	[	[	X
fcis-23824	142	2	10	10	NUM
fcis-23824	142	3	]	]	X
fcis-23824	142	4	yoon	yoon	PROPN
fcis-23824	142	5	j	j	PROPN
fcis-23824	142	6	,	,	PUNCT
fcis-23824	142	7	jordon	jordon	PROPN
fcis-23824	142	8	j	j	PROPN
fcis-23824	142	9	,	,	PUNCT
fcis-23824	142	10	schaar	schaar	NOUN
fcis-23824	142	11	m.	m.	NOUN
fcis-23824	142	12	gain	gain	NOUN
fcis-23824	142	13	:	:	PUNCT
fcis-23824	142	14	missing	miss	VERB
fcis-23824	142	15	data	data	NOUN
fcis-23824	142	16	imputation	imputation	NOUN
fcis-23824	142	17	using	use	VERB
fcis-23824	142	18	generative	generative	ADJ
fcis-23824	142	19	adversarial	adversarial	ADJ
fcis-23824	142	20	nets	net	NOUN
fcis-23824	142	21	.	.	PUNCT
fcis-23824	143	1	proceedings	proceeding	NOUN
fcis-23824	143	2	of	of	ADP
fcis-23824	143	3	the	the	DET
fcis-23824	143	4	35th	35th	ADJ
fcis-23824	143	5	international	international	ADJ
fcis-23824	143	6	conference	conference	NOUN
fcis-23824	143	7	on	on	ADP
fcis-23824	143	8	machine	machine	NOUN
fcis-23824	143	9	learning	learning	NOUN
fcis-23824	143	10	.	.	PUNCT
fcis-23824	144	1	pmlr	pmlr	NOUN
fcis-23824	144	2	,	,	PUNCT
fcis-23824	144	3	2018	2018	NUM
fcis-23824	144	4	:	:	PUNCT
fcis-23824	144	5	5689	5689	NUM
fcis-23824	144	6	-	-	SYM
fcis-23824	144	7	5698	5698	NUM
fcis-23824	144	8	.	.	PUNCT