id	sid	tid	token	lemma	pos
concept-2620	1	1	bone	bone	NOUN
concept-2620	1	2	-	-	PUNCT
concept-2620	1	3	age	age	NOUN
concept-2620	1	4	concept	concept	NOUN
concept-2620	1	5	predicting	predict	VERB
concept-2620	1	6	bone	bone	NOUN
concept-2620	1	7	-	-	PUNCT
concept-2620	1	8	age	age	NOUN
concept-2620	1	9	using	use	VERB
concept-2620	1	10	x	x	NOUN
concept-2620	1	11	-	-	NOUN
concept-2620	1	12	ray	ray	NOUN
concept-2620	1	13	images	image	NOUN
concept-2620	1	14	deep	deep	ADJ
concept-2620	1	15	learning	learning	NOUN
concept-2620	1	16	adhiraj	adhiraj	PROPN
concept-2620	1	17	roka	roka	PROPN
concept-2620	1	18	applied	apply	VERB
concept-2620	1	19	statistics	statistics	PROPN
concept-2620	1	20	i.	i.	PROPN
concept-2620	1	21	introduction	introduction	NOUN
concept-2620	1	22	detecting	detect	VERB
concept-2620	1	23	the	the	DET
concept-2620	1	24	bone	bone	NOUN
concept-2620	1	25	age	age	NOUN
concept-2620	1	26	of	of	ADP
concept-2620	1	27	a	a	DET
concept-2620	1	28	child	child	NOUN
concept-2620	1	29	’s	’s	PART
concept-2620	1	30	skeletal	skeletal	ADJ
concept-2620	1	31	system	system	NOUN
concept-2620	1	32	is	be	AUX
concept-2620	1	33	important	important	ADJ
concept-2620	1	34	as	as	SCONJ
concept-2620	1	35	it	it	PRON
concept-2620	1	36	can	can	AUX
concept-2620	1	37	help	help	VERB
concept-2620	1	38	determine	determine	VERB
concept-2620	1	39	the	the	DET
concept-2620	1	40	growth	growth	NOUN
concept-2620	1	41	rate	rate	NOUN
concept-2620	1	42	of	of	ADP
concept-2620	1	43	a	a	DET
concept-2620	1	44	child	child	NOUN
concept-2620	1	45	.	.	PUNCT
concept-2620	2	1	tracking	track	VERB
concept-2620	2	2	the	the	DET
concept-2620	2	3	difference	difference	NOUN
concept-2620	2	4	between	between	ADP
concept-2620	2	5	a	a	DET
concept-2620	2	6	child	child	NOUN
concept-2620	2	7	’s	’s	PART
concept-2620	2	8	bone	bone	NOUN
concept-2620	2	9	age	age	NOUN
concept-2620	2	10	and	and	CCONJ
concept-2620	2	11	their	their	PRON
concept-2620	2	12	chronological	chronological	ADJ
concept-2620	2	13	age	age	NOUN
concept-2620	2	14	can	can	AUX
concept-2620	2	15	aid	aid	VERB
concept-2620	2	16	doctors	doctor	NOUN
concept-2620	2	17	in	in	ADP
concept-2620	2	18	diagnosing	diagnose	VERB
concept-2620	2	19	a	a	DET
concept-2620	2	20	growth	growth	NOUN
concept-2620	2	21	problem	problem	NOUN
concept-2620	2	22	.	.	PUNCT
concept-2620	3	1	however	however	ADV
concept-2620	3	2	,	,	PUNCT
concept-2620	3	3	these	these	DET
concept-2620	3	4	growth	growth	NOUN
concept-2620	3	5	problems	problem	NOUN
concept-2620	3	6	are	be	AUX
concept-2620	3	7	not	not	PART
concept-2620	3	8	always	always	ADV
concept-2620	3	9	an	an	DET
concept-2620	3	10	issue	issue	NOUN
concept-2620	3	11	;	;	PUNCT
concept-2620	3	12	healthy	healthy	ADJ
concept-2620	3	13	children	child	NOUN
concept-2620	3	14	can	can	AUX
concept-2620	3	15	have	have	VERB
concept-2620	3	16	a	a	DET
concept-2620	3	17	bone	bone	NOUN
concept-2620	3	18	age	age	NOUN
concept-2620	3	19	that	that	PRON
concept-2620	3	20	differs	differ	VERB
concept-2620	3	21	from	from	ADP
concept-2620	3	22	their	their	PRON
concept-2620	3	23	chronological	chronological	ADJ
concept-2620	3	24	age	age	NOUN
concept-2620	3	25	.	.	PUNCT
concept-2620	4	1	this	this	PRON
concept-2620	4	2	means	mean	VERB
concept-2620	4	3	that	that	SCONJ
concept-2620	4	4	the	the	DET
concept-2620	4	5	child	child	NOUN
concept-2620	4	6	may	may	AUX
concept-2620	4	7	be	be	AUX
concept-2620	4	8	developing	develop	VERB
concept-2620	4	9	at	at	ADP
concept-2620	4	10	a	a	DET
concept-2620	4	11	faster	fast	ADJ
concept-2620	4	12	or	or	CCONJ
concept-2620	4	13	slower	slow	ADJ
concept-2620	4	14	rate	rate	NOUN
concept-2620	4	15	than	than	ADP
concept-2620	4	16	average	average	ADJ
concept-2620	4	17	.	.	PUNCT
concept-2620	5	1	the	the	DET
concept-2620	5	2	changes	change	NOUN
concept-2620	5	3	in	in	ADP
concept-2620	5	4	growth	growth	NOUN
concept-2620	5	5	plates	plate	NOUN
concept-2620	5	6	are	be	AUX
concept-2620	5	7	essential	essential	ADJ
concept-2620	5	8	for	for	ADP
concept-2620	5	9	determining	determine	VERB
concept-2620	5	10	the	the	DET
concept-2620	5	11	age	age	NOUN
concept-2620	5	12	of	of	ADP
concept-2620	5	13	a	a	DET
concept-2620	5	14	bone	bone	NOUN
concept-2620	5	15	.	.	PUNCT
concept-2620	6	1	growth	growth	NOUN
concept-2620	6	2	plates	plate	NOUN
concept-2620	6	3	are	be	AUX
concept-2620	6	4	easy	easy	ADJ
concept-2620	6	5	to	to	PART
concept-2620	6	6	spot	spot	VERB
concept-2620	6	7	on	on	ADP
concept-2620	6	8	x	x	NOUN
concept-2620	6	9	-	-	NOUN
concept-2620	6	10	rays	ray	NOUN
concept-2620	6	11	because	because	SCONJ
concept-2620	6	12	they	they	PRON
concept-2620	6	13	are	be	AUX
concept-2620	6	14	softer	soft	ADJ
concept-2620	6	15	and	and	CCONJ
concept-2620	6	16	contain	contain	VERB
concept-2620	6	17	less	less	ADJ
concept-2620	6	18	mineral	mineral	NOUN
concept-2620	6	19	,	,	PUNCT
concept-2620	6	20	giving	give	VERB
concept-2620	6	21	them	they	PRON
concept-2620	6	22	a	a	DET
concept-2620	6	23	darker	dark	ADJ
concept-2620	6	24	appearance	appearance	NOUN
concept-2620	6	25	when	when	SCONJ
concept-2620	6	26	compared	compare	VERB
concept-2620	6	27	to	to	ADP
concept-2620	6	28	the	the	DET
concept-2620	6	29	rest	rest	NOUN
concept-2620	6	30	of	of	ADP
concept-2620	6	31	the	the	DET
concept-2620	6	32	bone	bone	NOUN
concept-2620	6	33	[	[	X
concept-2620	6	34	1	1	NUM
concept-2620	6	35	]	]	PUNCT
concept-2620	6	36	.	.	PUNCT
concept-2620	7	1	hands	hand	NOUN
concept-2620	7	2	contain	contain	VERB
concept-2620	7	3	many	many	ADJ
concept-2620	7	4	growth	growth	NOUN
concept-2620	7	5	plates	plate	NOUN
concept-2620	7	6	and	and	CCONJ
concept-2620	7	7	have	have	AUX
concept-2620	7	8	such	such	ADJ
concept-2620	7	9	become	become	VERB
concept-2620	7	10	the	the	DET
concept-2620	7	11	standard	standard	NOUN
concept-2620	7	12	for	for	ADP
concept-2620	7	13	estimating	estimate	VERB
concept-2620	7	14	bone	bone	NOUN
concept-2620	7	15	age	age	NOUN
concept-2620	7	16	in	in	ADP
concept-2620	7	17	children	child	NOUN
concept-2620	7	18	over	over	ADP
concept-2620	7	19	the	the	DET
concept-2620	7	20	age	age	NOUN
concept-2620	7	21	of	of	ADP
concept-2620	7	22	three	three	NUM
concept-2620	7	23	.	.	PUNCT
concept-2620	8	1	hands	hand	NOUN
concept-2620	8	2	of	of	ADP
concept-2620	8	3	children	child	NOUN
concept-2620	8	4	under	under	ADP
concept-2620	8	5	the	the	DET
concept-2620	8	6	age	age	NOUN
concept-2620	8	7	of	of	ADP
concept-2620	8	8	three	three	NUM
concept-2620	8	9	do	do	AUX
concept-2620	8	10	not	not	PART
concept-2620	8	11	develop	develop	VERB
concept-2620	8	12	many	many	ADJ
concept-2620	8	13	changes	change	NOUN
concept-2620	8	14	within	within	ADP
concept-2620	8	15	their	their	PRON
concept-2620	8	16	first	first	ADJ
concept-2620	8	17	few	few	ADJ
concept-2620	8	18	years	year	NOUN
concept-2620	8	19	,	,	PUNCT
concept-2620	8	20	so	so	ADV
concept-2620	8	21	x	x	NOUN
concept-2620	8	22	-	-	NOUN
concept-2620	8	23	rays	ray	NOUN
concept-2620	8	24	of	of	ADP
concept-2620	8	25	the	the	DET
concept-2620	8	26	knee	knee	NOUN
concept-2620	8	27	or	or	CCONJ
concept-2620	8	28	hemi	hemi	NOUN
concept-2620	8	29	-	-	PUNCT
concept-2620	8	30	skeleton	skeleton	NOUN
concept-2620	8	31	are	be	AUX
concept-2620	8	32	more	more	ADV
concept-2620	8	33	often	often	ADV
concept-2620	8	34	used	use	VERB
concept-2620	8	35	[	[	PUNCT
concept-2620	8	36	2	2	NUM
concept-2620	8	37	]	]	PUNCT
concept-2620	8	38	.	.	PUNCT
concept-2620	9	1	due	due	ADP
concept-2620	9	2	to	to	ADP
concept-2620	9	3	the	the	DET
concept-2620	9	4	unique	unique	ADJ
concept-2620	9	5	characteristics	characteristic	NOUN
concept-2620	9	6	of	of	ADP
concept-2620	9	7	growth	growth	NOUN
concept-2620	9	8	plates	plate	NOUN
concept-2620	9	9	,	,	PUNCT
concept-2620	9	10	a	a	DET
concept-2620	9	11	radiologist	radiologist	NOUN
concept-2620	9	12	can	can	AUX
concept-2620	9	13	assign	assign	VERB
concept-2620	9	14	a	a	DET
concept-2620	9	15	bone	bone	NOUN
concept-2620	9	16	age	age	NOUN
concept-2620	9	17	based	base	VERB
concept-2620	9	18	on	on	ADP
concept-2620	9	19	the	the	DET
concept-2620	9	20	appearance	appearance	NOUN
concept-2620	9	21	.	.	PUNCT
concept-2620	10	1	this	this	DET
concept-2620	10	2	process	process	NOUN
concept-2620	10	3	can	can	AUX
concept-2620	10	4	be	be	AUX
concept-2620	10	5	done	do	VERB
concept-2620	10	6	by	by	ADP
concept-2620	10	7	comparing	compare	VERB
concept-2620	10	8	the	the	DET
concept-2620	10	9	x	x	NOUN
concept-2620	10	10	-	-	NOUN
concept-2620	10	11	ray	ray	NOUN
concept-2620	10	12	of	of	ADP
concept-2620	10	13	the	the	DET
concept-2620	10	14	child	child	NOUN
concept-2620	10	15	to	to	ADP
concept-2620	10	16	the	the	DET
concept-2620	10	17	x	x	NOUN
concept-2620	10	18	-	-	NOUN
concept-2620	10	19	ray	ray	NOUN
concept-2620	10	20	images	image	NOUN
concept-2620	10	21	in	in	ADP
concept-2620	10	22	a	a	DET
concept-2620	10	23	standard	standard	ADJ
concept-2620	10	24	atlas	atlas	PROPN
concept-2620	10	25	of	of	ADP
concept-2620	10	26	bone	bone	NOUN
concept-2620	10	27	development	development	NOUN
concept-2620	10	28	and	and	CCONJ
concept-2620	10	29	deciding	decide	VERB
concept-2620	10	30	which	which	DET
concept-2620	10	31	stage	stage	NOUN
concept-2620	10	32	most	most	ADV
concept-2620	10	33	closely	closely	ADV
concept-2620	10	34	matches	match	VERB
concept-2620	10	35	the	the	DET
concept-2620	10	36	child	child	NOUN
concept-2620	11	1	[	[	X
concept-2620	11	2	1	1	NUM
concept-2620	11	3	]	]	PUNCT
concept-2620	11	4	.	.	PUNCT
concept-2620	12	1	new	new	ADJ
concept-2620	12	2	commercial	commercial	ADJ
concept-2620	12	3	means	mean	NOUN
concept-2620	12	4	have	have	AUX
concept-2620	12	5	recently	recently	ADV
concept-2620	12	6	become	become	VERB
concept-2620	12	7	available	available	ADJ
concept-2620	12	8	for	for	ADP
concept-2620	12	9	automating	automate	VERB
concept-2620	12	10	the	the	DET
concept-2620	12	11	determination	determination	NOUN
concept-2620	12	12	of	of	ADP
concept-2620	12	13	bone	bone	NOUN
concept-2620	12	14	age	age	NOUN
concept-2620	12	15	[	[	X
concept-2620	12	16	2	2	NUM
concept-2620	12	17	]	]	PUNCT
concept-2620	12	18	.	.	PUNCT
concept-2620	13	1	we	we	PRON
concept-2620	13	2	created	create	VERB
concept-2620	13	3	a	a	DET
concept-2620	13	4	neural	neural	ADJ
concept-2620	13	5	network	network	NOUN
concept-2620	13	6	,	,	PUNCT
concept-2620	13	7	which	which	PRON
concept-2620	13	8	is	be	AUX
concept-2620	13	9	a	a	DET
concept-2620	13	10	series	series	NOUN
concept-2620	13	11	of	of	ADP
concept-2620	13	12	algorithms	algorithm	NOUN
concept-2620	13	13	that	that	PRON
concept-2620	13	14	mimic	mimic	VERB
concept-2620	13	15	the	the	DET
concept-2620	13	16	way	way	NOUN
concept-2620	13	17	the	the	DET
concept-2620	13	18	human	human	ADJ
concept-2620	13	19	brain	brain	NOUN
concept-2620	13	20	operates	operate	VERB
concept-2620	13	21	to	to	PART
concept-2620	13	22	process	process	VERB
concept-2620	13	23	data	datum	NOUN
concept-2620	13	24	.	.	PUNCT
concept-2620	14	1	by	by	ADP
concept-2620	14	2	creating	create	VERB
concept-2620	14	3	a	a	DET
concept-2620	14	4	neural	neural	ADJ
concept-2620	14	5	network	network	NOUN
concept-2620	14	6	trained	train	VERB
concept-2620	14	7	on	on	ADP
concept-2620	14	8	various	various	ADJ
concept-2620	14	9	x	x	ADJ
concept-2620	14	10	-	-	NOUN
concept-2620	14	11	ray	ray	NOUN
concept-2620	14	12	images	image	NOUN
concept-2620	14	13	,	,	PUNCT
concept-2620	14	14	one	one	PRON
concept-2620	14	15	could	could	AUX
concept-2620	14	16	create	create	VERB
concept-2620	14	17	a	a	DET
concept-2620	14	18	model	model	NOUN
concept-2620	14	19	to	to	PART
concept-2620	14	20	estimate	estimate	VERB
concept-2620	14	21	the	the	DET
concept-2620	14	22	bone	bone	NOUN
concept-2620	14	23	age	age	NOUN
concept-2620	14	24	of	of	ADP
concept-2620	14	25	a	a	DET
concept-2620	14	26	child	child	NOUN
concept-2620	14	27	without	without	ADP
concept-2620	14	28	having	have	VERB
concept-2620	14	29	the	the	DET
concept-2620	14	30	subjectivity	subjectivity	NOUN
concept-2620	14	31	of	of	ADP
concept-2620	14	32	human	human	ADJ
concept-2620	14	33	error	error	NOUN
concept-2620	14	34	.	.	PUNCT
concept-2620	15	1	ii	ii	PROPN
concept-2620	15	2	.	.	PROPN
concept-2620	16	1	data	datum	NOUN
concept-2620	16	2	data	datum	NOUN
concept-2620	16	3	was	be	AUX
concept-2620	16	4	found	find	VERB
concept-2620	16	5	on	on	ADP
concept-2620	16	6	kaggle	kaggle	NOUN
concept-2620	16	7	[	[	X
concept-2620	16	8	4	4	NUM
concept-2620	16	9	]	]	PUNCT
concept-2620	16	10	and	and	CCONJ
concept-2620	16	11	provided	provide	VERB
concept-2620	16	12	by	by	ADP
concept-2620	16	13	the	the	DET
concept-2620	16	14	radiological	radiological	ADJ
concept-2620	16	15	society	society	NOUN
concept-2620	16	16	of	of	ADP
concept-2620	16	17	north	north	PROPN
concept-2620	16	18	america	america	PROPN
concept-2620	16	19	(	(	PUNCT
concept-2620	16	20	rsna	rsna	PROPN
concept-2620	16	21	)	)	PUNCT
concept-2620	16	22	as	as	ADP
concept-2620	16	23	part	part	NOUN
concept-2620	16	24	of	of	ADP
concept-2620	16	25	their	their	PRON
concept-2620	16	26	2017	2017	NUM
concept-2620	16	27	challenge	challenge	NOUN
concept-2620	16	28	.	.	PUNCT
concept-2620	17	1	the	the	DET
concept-2620	17	2	goal	goal	NOUN
concept-2620	17	3	of	of	ADP
concept-2620	17	4	this	this	DET
concept-2620	17	5	challenge	challenge	NOUN
concept-2620	17	6	was	be	AUX
concept-2620	17	7	to	to	PART
concept-2620	17	8	train	train	VERB
concept-2620	17	9	a	a	DET
concept-2620	17	10	model	model	NOUN
concept-2620	17	11	and	and	CCONJ
concept-2620	17	12	try	try	VERB
concept-2620	17	13	to	to	PART
concept-2620	17	14	correctly	correctly	ADV
concept-2620	17	15	identify	identify	VERB
concept-2620	17	16	the	the	DET
concept-2620	17	17	age	age	NOUN
concept-2620	17	18	of	of	ADP
concept-2620	17	19	a	a	DET
concept-2620	17	20	child	child	NOUN
concept-2620	17	21	from	from	ADP
concept-2620	17	22	their	their	PRON
concept-2620	17	23	x	x	NOUN
concept-2620	17	24	-	-	NOUN
concept-2620	17	25	ray	ray	NOUN
concept-2620	17	26	.	.	PUNCT
concept-2620	18	1	to	to	PART
concept-2620	18	2	train	train	VERB
concept-2620	18	3	the	the	DET
concept-2620	18	4	model	model	NOUN
concept-2620	18	5	you	you	PRON
concept-2620	18	6	need	need	VERB
concept-2620	18	7	to	to	PART
concept-2620	18	8	feed	feed	VERB
concept-2620	18	9	the	the	DET
concept-2620	18	10	machine	machine	NOUN
concept-2620	18	11	several	several	ADJ
concept-2620	18	12	examples	example	NOUN
concept-2620	18	13	of	of	ADP
concept-2620	18	14	properly	properly	ADV
concept-2620	18	15	identified	identify	VERB
concept-2620	18	16	images	image	NOUN
concept-2620	18	17	until	until	SCONJ
concept-2620	18	18	it	it	PRON
concept-2620	18	19	can	can	AUX
concept-2620	18	20	make	make	VERB
concept-2620	18	21	predictions	prediction	NOUN
concept-2620	18	22	.	.	PUNCT
concept-2620	19	1	for	for	ADP
concept-2620	19	2	simplicity	simplicity	NOUN
concept-2620	19	3	,	,	PUNCT
concept-2620	19	4	no	no	ADV
concept-2620	19	5	matter	matter	ADV
concept-2620	19	6	the	the	DET
concept-2620	19	7	age	age	NOUN
concept-2620	19	8	of	of	ADP
concept-2620	19	9	the	the	DET
concept-2620	19	10	child	child	NOUN
concept-2620	19	11	,	,	PUNCT
concept-2620	19	12	an	an	DET
concept-2620	19	13	xray	xray	NOUN
concept-2620	19	14	of	of	ADP
concept-2620	19	15	their	their	PRON
concept-2620	19	16	hand	hand	NOUN
concept-2620	19	17	was	be	AUX
concept-2620	19	18	used	use	VERB
concept-2620	19	19	.	.	PUNCT
concept-2620	20	1	there	there	PRON
concept-2620	20	2	were	be	VERB
concept-2620	20	3	four	four	NUM
concept-2620	20	4	files	file	NOUN
concept-2620	20	5	included	include	VERB
concept-2620	20	6	in	in	ADP
concept-2620	20	7	the	the	DET
concept-2620	20	8	dataset	dataset	NOUN
concept-2620	20	9	a	a	DET
concept-2620	20	10	folder	folder	NOUN
concept-2620	20	11	of	of	ADP
concept-2620	20	12	training	training	NOUN
concept-2620	20	13	x	x	NOUN
concept-2620	20	14	-	-	NOUN
concept-2620	20	15	rays	ray	NOUN
concept-2620	20	16	,	,	PUNCT
concept-2620	20	17	a	a	DET
concept-2620	20	18	folder	folder	NOUN
concept-2620	20	19	of	of	ADP
concept-2620	20	20	test	test	NOUN
concept-2620	20	21	x	x	NOUN
concept-2620	20	22	-	-	NOUN
concept-2620	20	23	rays	ray	NOUN
concept-2620	20	24	,	,	PUNCT
concept-2620	20	25	a	a	DET
concept-2620	20	26	comma	comma	NOUN
concept-2620	20	27	separated	separate	VERB
concept-2620	20	28	values	value	NOUN
concept-2620	20	29	(	(	PUNCT
concept-2620	20	30	.csv	.csv	SYM
concept-2620	20	31	)	)	PUNCT
concept-2620	20	32	file	file	NOUN
concept-2620	20	33	for	for	ADP
concept-2620	20	34	the	the	DET
concept-2620	20	35	training	training	NOUN
concept-2620	20	36	x	x	NOUN
concept-2620	20	37	-	-	NOUN
concept-2620	20	38	rays	ray	NOUN
concept-2620	20	39	containing	contain	VERB
concept-2620	20	40	the	the	DET
concept-2620	20	41	i	i	PROPN
concept-2620	20	42	d	d	PROPN
concept-2620	20	43	,	,	PUNCT
concept-2620	20	44	bone	bone	NOUN
concept-2620	20	45	age	age	NOUN
concept-2620	20	46	,	,	PUNCT
concept-2620	20	47	and	and	CCONJ
concept-2620	20	48	gender	gender	NOUN
concept-2620	20	49	of	of	ADP
concept-2620	20	50	each	each	DET
concept-2620	20	51	x	x	NOUN
concept-2620	20	52	-	-	NOUN
concept-2620	20	53	ray	ray	NOUN
concept-2620	20	54	,	,	PUNCT
concept-2620	20	55	and	and	CCONJ
concept-2620	20	56	a	a	DET
concept-2620	20	57	.csv	.csv	ADJ
concept-2620	20	58	file	file	NOUN
concept-2620	20	59	for	for	ADP
concept-2620	20	60	the	the	DET
concept-2620	20	61	test	test	NOUN
concept-2620	20	62	x	x	NOUN
concept-2620	20	63	-	-	NOUN
concept-2620	20	64	rays	ray	NOUN
concept-2620	20	65	containing	contain	VERB
concept-2620	20	66	the	the	DET
concept-2620	20	67	i	i	PROPN
concept-2620	20	68	d	d	PROPN
concept-2620	20	69	and	and	CCONJ
concept-2620	20	70	gender	gender	NOUN
concept-2620	20	71	of	of	ADP
concept-2620	20	72	each	each	DET
concept-2620	20	73	xray	xray	NOUN
concept-2620	20	74	.	.	PUNCT
concept-2620	21	1	there	there	PRON
concept-2620	21	2	were	be	VERB
concept-2620	21	3	12,611	12,611	NUM
concept-2620	21	4	x	x	NOUN
concept-2620	21	5	-	-	NOUN
concept-2620	21	6	rays	ray	NOUN
concept-2620	21	7	in	in	ADP
concept-2620	21	8	the	the	DET
concept-2620	21	9	training	training	NOUN
concept-2620	21	10	set	set	NOUN
concept-2620	21	11	and	and	CCONJ
concept-2620	21	12	200	200	NUM
concept-2620	21	13	x	x	NOUN
concept-2620	21	14	-	-	NOUN
concept-2620	21	15	rays	ray	NOUN
concept-2620	21	16	in	in	ADP
concept-2620	21	17	the	the	DET
concept-2620	21	18	test	test	NOUN
concept-2620	21	19	set	set	NOUN
concept-2620	21	20	.	.	PUNCT
concept-2620	22	1	due	due	ADP
concept-2620	22	2	to	to	ADP
concept-2620	22	3	the	the	DET
concept-2620	22	4	large	large	ADJ
concept-2620	22	5	size	size	NOUN
concept-2620	22	6	of	of	ADP
concept-2620	22	7	the	the	DET
concept-2620	22	8	training	training	NOUN
concept-2620	22	9	set	set	VERB
concept-2620	22	10	and	and	CCONJ
concept-2620	22	11	small	small	ADJ
concept-2620	22	12	ram	ram	NOUN
concept-2620	22	13	space	space	NOUN
concept-2620	22	14	available	available	ADJ
concept-2620	22	15	for	for	ADP
concept-2620	22	16	use	use	NOUN
concept-2620	22	17	,	,	PUNCT
concept-2620	22	18	we	we	PRON
concept-2620	22	19	subsampled	subsample	VERB
concept-2620	22	20	the	the	DET
concept-2620	22	21	x	x	NOUN
concept-2620	22	22	-	-	NOUN
concept-2620	22	23	ray	ray	NOUN
concept-2620	22	24	images	image	NOUN
concept-2620	22	25	to	to	PART
concept-2620	22	26	get	get	VERB
concept-2620	22	27	a	a	DET
concept-2620	22	28	smaller	small	ADJ
concept-2620	22	29	sample	sample	NOUN
concept-2620	22	30	size	size	NOUN
concept-2620	22	31	to	to	PART
concept-2620	22	32	create	create	VERB
concept-2620	22	33	a	a	DET
concept-2620	22	34	model	model	NOUN
concept-2620	22	35	with	with	ADP
concept-2620	22	36	.	.	PUNCT
concept-2620	23	1	a	a	DET
concept-2620	23	2	stratified	stratified	ADJ
concept-2620	23	3	sample	sample	NOUN
concept-2620	23	4	based	base	VERB
concept-2620	23	5	on	on	ADP
concept-2620	23	6	gender	gender	NOUN
concept-2620	23	7	was	be	AUX
concept-2620	23	8	used	use	VERB
concept-2620	23	9	,	,	PUNCT
concept-2620	23	10	as	as	SCONJ
concept-2620	23	11	we	we	PRON
concept-2620	23	12	expect	expect	VERB
concept-2620	23	13	the	the	DET
concept-2620	23	14	population	population	NOUN
concept-2620	23	15	to	to	PART
concept-2620	23	16	use	use	VERB
concept-2620	23	17	the	the	DET
concept-2620	23	18	model	model	NOUN
concept-2620	23	19	to	to	PART
concept-2620	23	20	be	be	AUX
concept-2620	23	21	about	about	ADV
concept-2620	23	22	50	50	NUM
concept-2620	23	23	%	%	NOUN
concept-2620	23	24	female	female	ADJ
concept-2620	23	25	and	and	CCONJ
concept-2620	23	26	50	50	NUM
concept-2620	23	27	%	%	NOUN
concept-2620	23	28	male	male	NOUN
concept-2620	23	29	because	because	SCONJ
concept-2620	23	30	that	that	PRON
concept-2620	23	31	is	be	AUX
concept-2620	23	32	approximately	approximately	ADV
concept-2620	23	33	the	the	DET
concept-2620	23	34	distribution	distribution	NOUN
concept-2620	23	35	of	of	ADP
concept-2620	23	36	the	the	DET
concept-2620	23	37	child	child	NOUN
concept-2620	23	38	population	population	NOUN
concept-2620	23	39	.	.	PUNCT
concept-2620	24	1	we	we	PRON
concept-2620	24	2	sampled	sample	VERB
concept-2620	24	3	2,250	2,250	NUM
concept-2620	24	4	male	male	ADJ
concept-2620	24	5	x	x	NOUN
concept-2620	24	6	-	-	NOUN
concept-2620	24	7	rays	ray	NOUN
concept-2620	24	8	and	and	CCONJ
concept-2620	24	9	2,250	2,250	NUM
concept-2620	24	10	female	female	ADJ
concept-2620	24	11	x	x	NOUN
concept-2620	24	12	-	-	NOUN
concept-2620	24	13	rays	ray	NOUN
concept-2620	24	14	from	from	ADP
concept-2620	24	15	the	the	DET
concept-2620	24	16	training	training	NOUN
concept-2620	24	17	set	set	NOUN
concept-2620	24	18	,	,	PUNCT
concept-2620	24	19	giving	give	VERB
concept-2620	24	20	us	we	PRON
concept-2620	24	21	a	a	DET
concept-2620	24	22	final	final	ADJ
concept-2620	24	23	sample	sample	NOUN
concept-2620	24	24	size	size	NOUN
concept-2620	24	25	of	of	ADP
concept-2620	24	26	4,500	4,500	NUM
concept-2620	24	27	x	x	NOUN
concept-2620	24	28	-	-	NOUN
concept-2620	24	29	rays	ray	NOUN
concept-2620	24	30	,	,	PUNCT
concept-2620	24	31	which	which	PRON
concept-2620	24	32	was	be	AUX
concept-2620	24	33	split	split	VERB
concept-2620	24	34	into	into	ADP
concept-2620	24	35	3,600	3,600	NUM
concept-2620	24	36	for	for	ADP
concept-2620	24	37	training	training	NOUN
concept-2620	24	38	and	and	CCONJ
concept-2620	24	39	900	900	NUM
concept-2620	24	40	for	for	ADP
concept-2620	24	41	validation	validation	NOUN
concept-2620	24	42	,	,	PUNCT
concept-2620	24	43	we	we	PRON
concept-2620	24	44	want	want	VERB
concept-2620	24	45	to	to	PART
concept-2620	24	46	use	use	VERB
concept-2620	24	47	as	as	ADV
concept-2620	24	48	much	much	ADJ
concept-2620	24	49	data	datum	NOUN
concept-2620	24	50	for	for	ADP
concept-2620	24	51	training	training	NOUN
concept-2620	24	52	as	as	ADP
concept-2620	24	53	possible	possible	ADJ
concept-2620	24	54	to	to	PART
concept-2620	24	55	have	have	VERB
concept-2620	24	56	enough	enough	ADJ
concept-2620	24	57	data	datum	NOUN
concept-2620	24	58	for	for	SCONJ
concept-2620	24	59	our	our	PRON
concept-2620	24	60	model	model	NOUN
concept-2620	24	61	to	to	PART
concept-2620	24	62	learn	learn	VERB
concept-2620	24	63	.	.	PUNCT
concept-2620	25	1	the	the	DET
concept-2620	25	2	final	final	ADJ
concept-2620	25	3	proportion	proportion	NOUN
concept-2620	25	4	of	of	ADP
concept-2620	25	5	males	male	NOUN
concept-2620	25	6	to	to	ADP
concept-2620	25	7	females	female	NOUN
concept-2620	25	8	in	in	ADP
concept-2620	25	9	the	the	DET
concept-2620	25	10	training	training	NOUN
concept-2620	25	11	set	set	NOUN
concept-2620	25	12	matches	match	VERB
concept-2620	25	13	the	the	DET
concept-2620	25	14	original	original	ADJ
concept-2620	25	15	proportion	proportion	NOUN
concept-2620	25	16	of	of	ADP
concept-2620	25	17	males	male	NOUN
concept-2620	25	18	to	to	ADP
concept-2620	25	19	females	female	NOUN
concept-2620	25	20	.	.	PUNCT
concept-2620	26	1	before	before	ADP
concept-2620	26	2	beginning	begin	VERB
concept-2620	26	3	the	the	DET
concept-2620	26	4	analysis	analysis	NOUN
concept-2620	26	5	,	,	PUNCT
concept-2620	26	6	the	the	DET
concept-2620	26	7	x	x	NOUN
concept-2620	26	8	-	-	NOUN
concept-2620	26	9	ray	ray	NOUN
concept-2620	26	10	images	image	NOUN
concept-2620	26	11	were	be	AUX
concept-2620	26	12	reviewed	review	VERB
concept-2620	26	13	to	to	PART
concept-2620	26	14	see	see	VERB
concept-2620	26	15	if	if	SCONJ
concept-2620	26	16	there	there	PRON
concept-2620	26	17	were	be	VERB
concept-2620	26	18	any	any	DET
concept-2620	26	19	major	major	ADJ
concept-2620	26	20	imperfections	imperfection	NOUN
concept-2620	26	21	to	to	PART
concept-2620	26	22	be	be	AUX
concept-2620	26	23	aware	aware	ADJ
concept-2620	26	24	of	of	ADP
concept-2620	26	25	.	.	PUNCT
concept-2620	27	1	some	some	DET
concept-2620	27	2	images	image	NOUN
concept-2620	27	3	were	be	AUX
concept-2620	27	4	very	very	ADV
concept-2620	27	5	dark	dark	ADJ
concept-2620	27	6	,	,	PUNCT
concept-2620	27	7	and	and	CCONJ
concept-2620	27	8	the	the	DET
concept-2620	27	9	x	x	NOUN
concept-2620	27	10	-	-	NOUN
concept-2620	27	11	ray	ray	NOUN
concept-2620	27	12	was	be	AUX
concept-2620	27	13	barely	barely	ADV
concept-2620	27	14	noticeable	noticeable	ADJ
concept-2620	27	15	,	,	PUNCT
concept-2620	27	16	some	some	PRON
concept-2620	27	17	were	be	AUX
concept-2620	27	18	very	very	ADV
concept-2620	27	19	zoomed	zoomed	ADJ
concept-2620	27	20	out	out	ADP
concept-2620	27	21	and	and	CCONJ
concept-2620	27	22	shifted	shift	VERB
concept-2620	27	23	to	to	ADP
concept-2620	27	24	the	the	DET
concept-2620	27	25	corner	corner	NOUN
concept-2620	27	26	of	of	ADP
concept-2620	27	27	the	the	DET
concept-2620	27	28	image	image	NOUN
concept-2620	27	29	,	,	PUNCT
concept-2620	27	30	some	some	PRON
concept-2620	27	31	were	be	AUX
concept-2620	27	32	flipped	flip	VERB
concept-2620	27	33	upside	upside	ADV
concept-2620	27	34	down	down	ADV
concept-2620	27	35	,	,	PUNCT
concept-2620	27	36	and	and	CCONJ
concept-2620	27	37	some	some	PRON
concept-2620	27	38	have	have	VERB
concept-2620	27	39	different	different	ADJ
concept-2620	27	40	lighting	lighting	NOUN
concept-2620	27	41	throughout	throughout	ADP
concept-2620	27	42	the	the	DET
concept-2620	27	43	single	single	ADJ
concept-2620	27	44	x	x	NOUN
concept-2620	27	45	-	-	NOUN
concept-2620	27	46	ray	ray	NOUN
concept-2620	27	47	(	(	PUNCT
concept-2620	27	48	figure	figure	NOUN
concept-2620	27	49	1	1	NUM
concept-2620	27	50	)	)	PUNCT
concept-2620	27	51	.	.	PUNCT
concept-2620	28	1	another	another	DET
concept-2620	28	2	area	area	NOUN
concept-2620	28	3	of	of	ADP
concept-2620	28	4	concern	concern	NOUN
concept-2620	28	5	is	be	AUX
concept-2620	28	6	that	that	SCONJ
concept-2620	28	7	all	all	DET
concept-2620	28	8	the	the	DET
concept-2620	28	9	x	x	NOUN
concept-2620	28	10	-	-	NOUN
concept-2620	28	11	rays	ray	NOUN
concept-2620	28	12	have	have	VERB
concept-2620	28	13	a	a	DET
concept-2620	28	14	label	label	NOUN
concept-2620	28	15	on	on	ADP
concept-2620	28	16	them	they	PRON
concept-2620	28	17	giving	give	VERB
concept-2620	28	18	information	information	NOUN
concept-2620	28	19	about	about	ADP
concept-2620	28	20	the	the	DET
concept-2620	28	21	patient	patient	NOUN
concept-2620	28	22	.	.	PUNCT
concept-2620	29	1	these	these	DET
concept-2620	29	2	labels	label	NOUN
concept-2620	29	3	do	do	AUX
concept-2620	29	4	not	not	PART
concept-2620	29	5	correlate	correlate	VERB
concept-2620	29	6	in	in	ADP
concept-2620	29	7	any	any	DET
concept-2620	29	8	consistent	consistent	ADJ
concept-2620	29	9	way	way	NOUN
concept-2620	29	10	.	.	PUNCT
concept-2620	30	1	in	in	ADP
concept-2620	30	2	order	order	NOUN
concept-2620	30	3	to	to	PART
concept-2620	30	4	compensate	compensate	VERB
concept-2620	30	5	for	for	ADP
concept-2620	30	6	some	some	PRON
concept-2620	30	7	of	of	ADP
concept-2620	30	8	these	these	DET
concept-2620	30	9	inconsistencies	inconsistency	NOUN
concept-2620	30	10	,	,	PUNCT
concept-2620	30	11	the	the	DET
concept-2620	30	12	data	datum	NOUN
concept-2620	30	13	was	be	AUX
concept-2620	30	14	augmented	augment	VERB
concept-2620	30	15	before	before	ADP
concept-2620	30	16	building	build	VERB
concept-2620	30	17	our	our	PRON
concept-2620	30	18	models	model	NOUN
concept-2620	30	19	using	use	VERB
concept-2620	30	20	rescaling	rescaling	NOUN
concept-2620	30	21	,	,	PUNCT
concept-2620	30	22	shear	shear	ADJ
concept-2620	30	23	range	range	NOUN
concept-2620	30	24	,	,	PUNCT
concept-2620	30	25	rotation	rotation	NOUN
concept-2620	30	26	range	range	NOUN
concept-2620	30	27	,	,	PUNCT
concept-2620	30	28	zoom	zoom	VERB
concept-2620	30	29	range	range	NOUN
concept-2620	30	30	,	,	PUNCT
concept-2620	30	31	width	width	ADJ
concept-2620	30	32	and	and	CCONJ
concept-2620	30	33	height	height	NOUN
concept-2620	30	34	shift	shift	NOUN
concept-2620	30	35	range	range	NOUN
concept-2620	30	36	,	,	PUNCT
concept-2620	30	37	and	and	CCONJ
concept-2620	30	38	horizontal	horizontal	ADJ
concept-2620	30	39	flip	flip	NOUN
concept-2620	30	40	.	.	PUNCT
concept-2620	31	1	this	this	PRON
concept-2620	31	2	will	will	AUX
concept-2620	31	3	help	help	VERB
concept-2620	31	4	the	the	DET
concept-2620	31	5	models	model	NOUN
concept-2620	31	6	from	from	ADP
concept-2620	31	7	overfitting	overfitte	VERB
concept-2620	31	8	the	the	DET
concept-2620	31	9	data	datum	NOUN
concept-2620	31	10	.	.	PUNCT
concept-2620	32	1	figure	figure	NOUN
concept-2620	32	2	1	1	NUM
concept-2620	32	3	:	:	PUNCT
concept-2620	32	4	sample	sample	NOUN
concept-2620	32	5	images	image	NOUN
concept-2620	32	6	from	from	ADP
concept-2620	32	7	dataset	dataset	PROPN
concept-2620	32	8	iii	iii	PROPN
concept-2620	32	9	.	.	PUNCT
concept-2620	32	10	literature	literature	PROPN
concept-2620	32	11	review	review	PROPN
concept-2620	32	12	as	as	SCONJ
concept-2620	32	13	stated	state	VERB
concept-2620	32	14	previously	previously	ADV
concept-2620	32	15	,	,	PUNCT
concept-2620	32	16	this	this	DET
concept-2620	32	17	project	project	NOUN
concept-2620	32	18	was	be	AUX
concept-2620	32	19	originally	originally	ADV
concept-2620	32	20	a	a	DET
concept-2620	32	21	kaggle	kaggle	ADJ
concept-2620	32	22	competition	competition	NOUN
concept-2620	32	23	hosted	host	VERB
concept-2620	32	24	by	by	ADP
concept-2620	32	25	the	the	DET
concept-2620	32	26	rsna	rsna	NOUN
concept-2620	32	27	in	in	ADP
concept-2620	32	28	2017	2017	NUM
concept-2620	32	29	.	.	PUNCT
concept-2620	33	1	there	there	PRON
concept-2620	33	2	were	be	VERB
concept-2620	33	3	over	over	ADV
concept-2620	33	4	100	100	NUM
concept-2620	33	5	entries	entry	NOUN
concept-2620	33	6	from	from	ADP
concept-2620	33	7	48	48	NUM
concept-2620	33	8	unique	unique	ADJ
concept-2620	33	9	users	user	NOUN
concept-2620	33	10	in	in	ADP
concept-2620	33	11	the	the	DET
concept-2620	33	12	competition	competition	NOUN
concept-2620	33	13	.	.	PUNCT
concept-2620	34	1	the	the	DET
concept-2620	34	2	models	model	NOUN
concept-2620	34	3	were	be	AUX
concept-2620	34	4	evaluated	evaluate	VERB
concept-2620	34	5	using	use	VERB
concept-2620	34	6	a	a	DET
concept-2620	34	7	testing	testing	NOUN
concept-2620	34	8	set	set	NOUN
concept-2620	34	9	consisting	consist	VERB
concept-2620	34	10	of	of	ADP
concept-2620	34	11	100	100	NUM
concept-2620	34	12	images	image	NOUN
concept-2620	34	13	that	that	PRON
concept-2620	34	14	were	be	AUX
concept-2620	34	15	unavailable	unavailable	ADJ
concept-2620	34	16	to	to	ADP
concept-2620	34	17	participants	participant	NOUN
concept-2620	34	18	.	.	PUNCT
concept-2620	35	1	this	this	DET
concept-2620	35	2	training	training	NOUN
concept-2620	35	3	set	set	NOUN
concept-2620	35	4	is	be	AUX
concept-2620	35	5	now	now	ADV
concept-2620	35	6	available	available	ADJ
concept-2620	35	7	through	through	ADP
concept-2620	35	8	kaggle	kaggle	PROPN
concept-2620	35	9	.	.	PUNCT
concept-2620	36	1	the	the	DET
concept-2620	36	2	error	error	NOUN
concept-2620	36	3	was	be	AUX
concept-2620	36	4	calculated	calculate	VERB
concept-2620	36	5	using	use	VERB
concept-2620	36	6	the	the	DET
concept-2620	36	7	mean	mean	ADJ
concept-2620	36	8	absolute	absolute	ADJ
concept-2620	36	9	difference	difference	NOUN
concept-2620	36	10	(	(	PUNCT
concept-2620	36	11	mad	mad	ADJ
concept-2620	36	12	)	)	PUNCT
concept-2620	36	13	,	,	PUNCT
concept-2620	36	14	which	which	PRON
concept-2620	36	15	is	be	AUX
concept-2620	36	16	the	the	DET
concept-2620	36	17	mean	mean	NOUN
concept-2620	36	18	of	of	ADP
concept-2620	36	19	all	all	PRON
concept-2620	36	20	of	of	ADP
concept-2620	36	21	the	the	DET
concept-2620	36	22	absolute	absolute	ADJ
concept-2620	36	23	values	value	NOUN
concept-2620	36	24	of	of	ADP
concept-2620	36	25	fitted	fit	VERB
concept-2620	36	26	minus	minus	CCONJ
concept-2620	36	27	actual	actual	ADJ
concept-2620	36	28	values	value	NOUN
concept-2620	36	29	.	.	PUNCT
concept-2620	37	1	the	the	DET
concept-2620	37	2	rsna	rsna	NOUN
concept-2620	37	3	reported	report	VERB
concept-2620	37	4	details	detail	NOUN
concept-2620	37	5	of	of	ADP
concept-2620	37	6	the	the	DET
concept-2620	37	7	top	top	ADJ
concept-2620	37	8	5	5	NUM
concept-2620	37	9	models	model	NOUN
concept-2620	37	10	,	,	PUNCT
concept-2620	37	11	in	in	ADP
concept-2620	37	12	terms	term	NOUN
concept-2620	37	13	of	of	ADP
concept-2620	37	14	lowest	low	ADJ
concept-2620	37	15	mad	mad	ADJ
concept-2620	37	16	,	,	PUNCT
concept-2620	37	17	reported	report	VERB
concept-2620	37	18	[	[	X
concept-2620	37	19	3	3	NUM
concept-2620	37	20	]	]	PUNCT
concept-2620	37	21	,	,	PUNCT
concept-2620	37	22	but	but	CCONJ
concept-2620	37	23	the	the	DET
concept-2620	37	24	top	top	ADJ
concept-2620	37	25	two	two	NUM
concept-2620	37	26	are	be	AUX
concept-2620	37	27	discussed	discuss	VERB
concept-2620	37	28	.	.	PUNCT
concept-2620	38	1	the	the	DET
concept-2620	38	2	first	first	ADJ
concept-2620	38	3	-	-	PUNCT
concept-2620	38	4	place	place	NOUN
concept-2620	38	5	team	team	NOUN
concept-2620	38	6	achieved	achieve	VERB
concept-2620	38	7	an	an	DET
concept-2620	38	8	mad	mad	NOUN
concept-2620	38	9	of	of	ADP
concept-2620	38	10	4.2	4.2	NUM
concept-2620	38	11	months	month	NOUN
concept-2620	38	12	.	.	PUNCT
concept-2620	39	1	the	the	DET
concept-2620	39	2	architecture	architecture	NOUN
concept-2620	39	3	of	of	ADP
concept-2620	39	4	their	their	PRON
concept-2620	39	5	model	model	NOUN
concept-2620	39	6	can	can	AUX
concept-2620	39	7	be	be	AUX
concept-2620	39	8	seen	see	VERB
concept-2620	39	9	in	in	ADP
concept-2620	39	10	figure	figure	NOUN
concept-2620	39	11	2	2	NUM
concept-2620	39	12	.	.	PUNCT
concept-2620	40	1	there	there	PRON
concept-2620	40	2	were	be	VERB
concept-2620	40	3	two	two	NUM
concept-2620	40	4	inputs	input	NOUN
concept-2620	40	5	in	in	ADP
concept-2620	40	6	this	this	DET
concept-2620	40	7	model	model	NOUN
concept-2620	40	8	,	,	PUNCT
concept-2620	40	9	namely	namely	ADV
concept-2620	40	10	the	the	DET
concept-2620	40	11	image	image	NOUN
concept-2620	40	12	and	and	CCONJ
concept-2620	40	13	gender	gender	NOUN
concept-2620	40	14	.	.	PUNCT
concept-2620	41	1	the	the	DET
concept-2620	41	2	image	image	NOUN
concept-2620	41	3	input	input	NOUN
concept-2620	41	4	was	be	AUX
concept-2620	41	5	a	a	DET
concept-2620	41	6	500x500	500x500	PROPN
concept-2620	41	7	pixel	pixel	NOUN
concept-2620	41	8	input	input	NOUN
concept-2620	41	9	with	with	ADP
concept-2620	41	10	one	one	NUM
concept-2620	41	11	channel	channel	NOUN
concept-2620	41	12	.	.	PUNCT
concept-2620	42	1	it	it	PRON
concept-2620	42	2	was	be	AUX
concept-2620	42	3	passed	pass	VERB
concept-2620	42	4	through	through	ADP
concept-2620	42	5	an	an	DET
concept-2620	42	6	inceptionv3	inceptionv3	NOUN
concept-2620	42	7	transfer	transfer	NOUN
concept-2620	42	8	learning	learning	NOUN
concept-2620	42	9	model	model	NOUN
concept-2620	42	10	.	.	PUNCT
concept-2620	43	1	on	on	ADP
concept-2620	43	2	the	the	DET
concept-2620	43	3	gender	gender	NOUN
concept-2620	43	4	input	input	NOUN
concept-2620	43	5	,	,	PUNCT
concept-2620	43	6	it	it	PRON
concept-2620	43	7	was	be	AUX
concept-2620	43	8	passed	pass	VERB
concept-2620	43	9	through	through	ADP
concept-2620	43	10	a	a	DET
concept-2620	43	11	dense	dense	ADJ
concept-2620	43	12	layer	layer	NOUN
concept-2620	43	13	with	with	ADP
concept-2620	43	14	32	32	NUM
concept-2620	43	15	neurons	neuron	NOUN
concept-2620	43	16	before	before	ADP
concept-2620	43	17	being	be	AUX
concept-2620	43	18	concatenated	concatenate	VERB
concept-2620	43	19	with	with	ADP
concept-2620	43	20	the	the	DET
concept-2620	43	21	image	image	NOUN
concept-2620	43	22	model	model	NOUN
concept-2620	43	23	.	.	PUNCT
concept-2620	44	1	after	after	ADP
concept-2620	44	2	concatenation	concatenation	NOUN
concept-2620	44	3	,	,	PUNCT
concept-2620	44	4	the	the	DET
concept-2620	44	5	data	datum	NOUN
concept-2620	44	6	was	be	AUX
concept-2620	44	7	passed	pass	VERB
concept-2620	44	8	through	through	ADP
concept-2620	44	9	two	two	NUM
concept-2620	44	10	more	more	ADV
concept-2620	44	11	dense	dense	ADJ
concept-2620	44	12	layers	layer	NOUN
concept-2620	44	13	each	each	PRON
concept-2620	44	14	with	with	ADP
concept-2620	44	15	1000	1000	NUM
concept-2620	44	16	neurons	neuron	NOUN
concept-2620	44	17	in	in	ADP
concept-2620	44	18	an	an	DET
concept-2620	44	19	attempt	attempt	NOUN
concept-2620	44	20	to	to	PART
concept-2620	44	21	capture	capture	VERB
concept-2620	44	22	the	the	DET
concept-2620	44	23	relationship	relationship	NOUN
concept-2620	44	24	between	between	ADP
concept-2620	44	25	gender	gender	NOUN
concept-2620	44	26	and	and	CCONJ
concept-2620	44	27	pixel	pixel	PROPN
concept-2620	44	28	.	.	PUNCT
concept-2620	45	1	the	the	DET
concept-2620	45	2	two	two	NUM
concept-2620	45	3	steps	step	NOUN
concept-2620	45	4	that	that	PRON
concept-2620	45	5	greatly	greatly	ADV
concept-2620	45	6	improved	improve	VERB
concept-2620	45	7	the	the	DET
concept-2620	45	8	performance	performance	NOUN
concept-2620	45	9	of	of	ADP
concept-2620	45	10	the	the	DET
concept-2620	45	11	model	model	NOUN
concept-2620	45	12	were	be	AUX
concept-2620	45	13	noted	note	VERB
concept-2620	45	14	to	to	PART
concept-2620	45	15	be	be	AUX
concept-2620	45	16	data	data	NOUN
concept-2620	45	17	augmentation	augmentation	NOUN
concept-2620	45	18	and	and	CCONJ
concept-2620	45	19	an	an	DET
concept-2620	45	20	ensemble	ensemble	ADJ
concept-2620	45	21	approach	approach	NOUN
concept-2620	45	22	at	at	ADP
concept-2620	45	23	test	test	NOUN
concept-2620	45	24	time	time	NOUN
concept-2620	46	1	[	[	X
concept-2620	46	2	3	3	NUM
concept-2620	46	3	]	]	PUNCT
concept-2620	46	4	.	.	PUNCT
concept-2620	47	1	the	the	DET
concept-2620	47	2	second	second	ADJ
concept-2620	47	3	-	-	PUNCT
concept-2620	47	4	place	place	NOUN
concept-2620	47	5	team	team	NOUN
concept-2620	47	6	obtained	obtain	VERB
concept-2620	47	7	a	a	DET
concept-2620	47	8	slightly	slightly	ADV
concept-2620	47	9	higher	high	ADJ
concept-2620	47	10	error	error	NOUN
concept-2620	47	11	with	with	ADP
concept-2620	47	12	a	a	DET
concept-2620	47	13	mad	mad	NOUN
concept-2620	47	14	of	of	ADP
concept-2620	47	15	4.4	4.4	NUM
concept-2620	47	16	months	month	NOUN
concept-2620	47	17	.	.	PUNCT
concept-2620	48	1	this	this	DET
concept-2620	48	2	group	group	NOUN
concept-2620	48	3	trained	train	VERB
concept-2620	48	4	gender	gender	NOUN
concept-2620	48	5	-	-	PUNCT
concept-2620	48	6	specific	specific	ADJ
concept-2620	48	7	models	model	NOUN
concept-2620	48	8	using	use	VERB
concept-2620	48	9	contrast	contrast	NOUN
concept-2620	48	10	-	-	PUNCT
concept-2620	48	11	enhanced	enhance	VERB
concept-2620	48	12	patches	patch	NOUN
concept-2620	48	13	of	of	ADP
concept-2620	48	14	the	the	DET
concept-2620	48	15	image	image	NOUN
concept-2620	48	16	,	,	PUNCT
concept-2620	48	17	each	each	PRON
concept-2620	48	18	of	of	ADP
concept-2620	48	19	size	size	NOUN
concept-2620	48	20	224x224	224x224	NUM
concept-2620	48	21	pixels	pixel	NOUN
concept-2620	48	22	.	.	PUNCT
concept-2620	49	1	these	these	DET
concept-2620	49	2	patches	patch	NOUN
concept-2620	49	3	were	be	AUX
concept-2620	49	4	overlapped	overlap	VERB
concept-2620	49	5	for	for	ADP
concept-2620	49	6	a	a	DET
concept-2620	49	7	total	total	NOUN
concept-2620	49	8	of	of	ADP
concept-2620	49	9	49	49	NUM
concept-2620	49	10	patches	patch	NOUN
concept-2620	49	11	for	for	ADP
concept-2620	49	12	each	each	DET
concept-2620	49	13	image	image	NOUN
concept-2620	49	14	.	.	PUNCT
concept-2620	50	1	again	again	ADV
concept-2620	50	2	,	,	PUNCT
concept-2620	50	3	transfer	transfer	NOUN
concept-2620	50	4	learning	learning	NOUN
concept-2620	50	5	was	be	AUX
concept-2620	50	6	used	use	VERB
concept-2620	50	7	with	with	ADP
concept-2620	50	8	a	a	DET
concept-2620	50	9	fine	fine	ADV
concept-2620	50	10	-	-	PUNCT
concept-2620	50	11	tuned	tune	VERB
concept-2620	50	12	resnet-50	resnet-50	ADJ
concept-2620	50	13	architecture	architecture	NOUN
concept-2620	50	14	.	.	PUNCT
concept-2620	51	1	the	the	DET
concept-2620	51	2	final	final	ADJ
concept-2620	51	3	prediction	prediction	NOUN
concept-2620	51	4	was	be	AUX
concept-2620	51	5	calculated	calculate	VERB
concept-2620	51	6	by	by	ADP
concept-2620	51	7	taking	take	VERB
concept-2620	51	8	the	the	DET
concept-2620	51	9	~50th	~50th	ADJ
concept-2620	51	10	percentile	percentile	NOUN
concept-2620	51	11	of	of	ADP
concept-2620	51	12	the	the	DET
concept-2620	51	13	patch	patch	NOUN
concept-2620	51	14	predictions	prediction	NOUN
concept-2620	51	15	.	.	PUNCT
concept-2620	52	1	finally	finally	ADV
concept-2620	52	2	,	,	PUNCT
concept-2620	52	3	just	just	ADV
concept-2620	52	4	as	as	SCONJ
concept-2620	52	5	in	in	ADP
concept-2620	52	6	the	the	DET
concept-2620	52	7	first	first	ADJ
concept-2620	52	8	-	-	PUNCT
concept-2620	52	9	place	place	NOUN
concept-2620	52	10	model	model	NOUN
concept-2620	52	11	,	,	PUNCT
concept-2620	52	12	data	datum	NOUN
concept-2620	52	13	augmentation	augmentation	NOUN
concept-2620	52	14	and	and	CCONJ
concept-2620	52	15	ensembling	ensemble	VERB
concept-2620	52	16	on	on	ADP
concept-2620	52	17	nine	nine	NUM
concept-2620	52	18	models	model	NOUN
concept-2620	52	19	were	be	AUX
concept-2620	52	20	used	use	VERB
concept-2620	52	21	to	to	PART
concept-2620	52	22	improve	improve	VERB
concept-2620	52	23	model	model	NOUN
concept-2620	52	24	performance	performance	NOUN
concept-2620	52	25	[	[	X
concept-2620	52	26	3	3	NUM
concept-2620	52	27	]	]	PUNCT
concept-2620	52	28	.	.	PUNCT
concept-2620	53	1	figure	figure	NOUN
concept-2620	53	2	2	2	NUM
concept-2620	53	3	:	:	PUNCT
concept-2620	53	4	architecture	architecture	NOUN
concept-2620	53	5	of	of	ADP
concept-2620	53	6	first	first	ADJ
concept-2620	53	7	-	-	PUNCT
concept-2620	53	8	place	place	NOUN
concept-2620	53	9	model	model	NOUN
concept-2620	53	10	in	in	ADP
concept-2620	53	11	kaggle	kaggle	NOUN
concept-2620	53	12	competition	competition	NOUN
concept-2620	53	13	iv	iv	NOUN
concept-2620	53	14	.	.	PUNCT
concept-2620	53	15	models	model	NOUN
concept-2620	53	16	numerous	numerous	ADJ
concept-2620	53	17	models	model	NOUN
concept-2620	53	18	were	be	AUX
concept-2620	53	19	fit	fit	ADJ
concept-2620	53	20	using	use	VERB
concept-2620	53	21	three	three	NUM
concept-2620	53	22	different	different	ADJ
concept-2620	53	23	input	input	NOUN
concept-2620	53	24	designs	design	NOUN
concept-2620	53	25	.	.	PUNCT
concept-2620	54	1	models	model	NOUN
concept-2620	54	2	,	,	PUNCT
concept-2620	54	3	such	such	ADJ
concept-2620	54	4	as	as	ADP
concept-2620	54	5	a	a	DET
concept-2620	54	6	convolutional	convolutional	ADJ
concept-2620	54	7	neural	neural	ADJ
concept-2620	54	8	network	network	NOUN
concept-2620	54	9	(	(	PUNCT
concept-2620	54	10	cnn	cnn	PROPN
concept-2620	54	11	)	)	PUNCT
concept-2620	54	12	and	and	CCONJ
concept-2620	54	13	a	a	DET
concept-2620	54	14	transfer	transfer	NOUN
concept-2620	54	15	learning	learning	NOUN
concept-2620	54	16	model	model	NOUN
concept-2620	54	17	,	,	PUNCT
concept-2620	54	18	were	be	AUX
concept-2620	54	19	fit	fit	ADJ
concept-2620	54	20	using	use	VERB
concept-2620	54	21	inputs	input	NOUN
concept-2620	54	22	including	include	VERB
concept-2620	54	23	gender	gender	NOUN
concept-2620	54	24	only	only	ADV
concept-2620	54	25	,	,	PUNCT
concept-2620	54	26	x	x	X
concept-2620	54	27	-	-	NOUN
concept-2620	54	28	ray	ray	NOUN
concept-2620	54	29	image	image	NOUN
concept-2620	54	30	only	only	ADV
concept-2620	54	31	,	,	PUNCT
concept-2620	54	32	and	and	CCONJ
concept-2620	54	33	both	both	DET
concept-2620	54	34	x	x	ADJ
concept-2620	54	35	-	-	NOUN
concept-2620	54	36	ray	ray	NOUN
concept-2620	54	37	image	image	NOUN
concept-2620	54	38	and	and	CCONJ
concept-2620	54	39	gender	gender	NOUN
concept-2620	54	40	.	.	PUNCT
concept-2620	55	1	the	the	DET
concept-2620	55	2	cnn	cnn	PROPN
concept-2620	55	3	model	model	NOUN
concept-2620	55	4	is	be	AUX
concept-2620	55	5	primarily	primarily	ADV
concept-2620	55	6	used	use	VERB
concept-2620	55	7	for	for	ADP
concept-2620	55	8	object	object	NOUN
concept-2620	55	9	identification	identification	NOUN
concept-2620	55	10	and	and	CCONJ
concept-2620	55	11	image	image	NOUN
concept-2620	55	12	classification	classification	NOUN
concept-2620	55	13	,	,	PUNCT
concept-2620	55	14	it	it	PRON
concept-2620	55	15	uses	use	VERB
concept-2620	55	16	a	a	DET
concept-2620	55	17	subsampling	subsample	VERB
concept-2620	55	18	method	method	NOUN
concept-2620	55	19	to	to	PART
concept-2620	55	20	improve	improve	VERB
concept-2620	55	21	learning	learn	VERB
concept-2620	55	22	at	at	ADP
concept-2620	55	23	each	each	DET
concept-2620	55	24	stage	stage	NOUN
concept-2620	55	25	.	.	PUNCT
concept-2620	56	1	transfer	transfer	NOUN
concept-2620	56	2	learning	learning	NOUN
concept-2620	56	3	models	model	NOUN
concept-2620	56	4	are	be	AUX
concept-2620	56	5	designed	design	VERB
concept-2620	56	6	with	with	ADP
concept-2620	56	7	pre	pre	ADJ
concept-2620	56	8	-	-	ADJ
concept-2620	56	9	existing	existing	ADJ
concept-2620	56	10	models	model	NOUN
concept-2620	56	11	that	that	PRON
concept-2620	56	12	have	have	AUX
concept-2620	56	13	been	be	AUX
concept-2620	56	14	previously	previously	ADV
concept-2620	56	15	trained	train	VERB
concept-2620	56	16	on	on	ADP
concept-2620	56	17	a	a	DET
concept-2620	56	18	larger	large	ADJ
concept-2620	56	19	image	image	NOUN
concept-2620	56	20	classification	classification	NOUN
concept-2620	56	21	dataset	dataset	NOUN
concept-2620	56	22	.	.	PUNCT
concept-2620	57	1	three	three	NUM
concept-2620	57	2	models	model	NOUN
concept-2620	57	3	will	will	AUX
concept-2620	57	4	be	be	AUX
concept-2620	57	5	discussed	discuss	VERB
concept-2620	57	6	:	:	PUNCT
concept-2620	57	7	a	a	DET
concept-2620	57	8	cnn	cnn	PROPN
concept-2620	57	9	model	model	NOUN
concept-2620	57	10	with	with	ADP
concept-2620	57	11	only	only	ADV
concept-2620	57	12	the	the	DET
concept-2620	57	13	x	x	ADJ
concept-2620	57	14	-	-	NOUN
concept-2620	57	15	ray	ray	NOUN
concept-2620	57	16	images	image	NOUN
concept-2620	57	17	as	as	ADP
concept-2620	57	18	an	an	DET
concept-2620	57	19	input	input	NOUN
concept-2620	57	20	,	,	PUNCT
concept-2620	57	21	a	a	DET
concept-2620	57	22	transfer	transfer	NOUN
concept-2620	57	23	learning	learn	VERB
concept-2620	57	24	model	model	NOUN
concept-2620	57	25	with	with	ADP
concept-2620	57	26	only	only	ADV
concept-2620	57	27	the	the	DET
concept-2620	57	28	x	x	ADJ
concept-2620	57	29	-	-	NOUN
concept-2620	57	30	ray	ray	NOUN
concept-2620	57	31	images	image	NOUN
concept-2620	57	32	as	as	ADP
concept-2620	57	33	input	input	NOUN
concept-2620	57	34	,	,	PUNCT
concept-2620	57	35	and	and	CCONJ
concept-2620	57	36	a	a	DET
concept-2620	57	37	combined	combined	ADJ
concept-2620	57	38	model	model	NOUN
concept-2620	57	39	consisting	consist	VERB
concept-2620	57	40	of	of	ADP
concept-2620	57	41	transfer	transfer	NOUN
concept-2620	57	42	learning	learn	VERB
concept-2620	57	43	with	with	ADP
concept-2620	57	44	the	the	DET
concept-2620	57	45	x	x	NOUN
concept-2620	57	46	-	-	NOUN
concept-2620	57	47	ray	ray	NOUN
concept-2620	57	48	images	image	NOUN
concept-2620	57	49	as	as	ADP
concept-2620	57	50	input	input	NOUN
concept-2620	57	51	and	and	CCONJ
concept-2620	57	52	a	a	DET
concept-2620	57	53	perceptron	perceptron	PROPN
concept-2620	57	54	model	model	NOUN
concept-2620	57	55	with	with	ADP
concept-2620	57	56	gender	gender	NOUN
concept-2620	57	57	as	as	ADP
concept-2620	57	58	input	input	NOUN
concept-2620	57	59	.	.	PUNCT
concept-2620	58	1	the	the	DET
concept-2620	58	2	mean	mean	ADJ
concept-2620	58	3	absolute	absolute	ADJ
concept-2620	58	4	error	error	NOUN
concept-2620	58	5	(	(	PUNCT
concept-2620	58	6	mae	mae	PROPN
concept-2620	58	7	)	)	PUNCT
concept-2620	58	8	will	will	AUX
concept-2620	58	9	be	be	AUX
concept-2620	58	10	used	use	VERB
concept-2620	58	11	to	to	PART
concept-2620	58	12	evaluate	evaluate	VERB
concept-2620	58	13	the	the	DET
concept-2620	58	14	performance	performance	NOUN
concept-2620	58	15	of	of	ADP
concept-2620	58	16	these	these	DET
concept-2620	58	17	models	model	NOUN
concept-2620	58	18	.	.	PUNCT
concept-2620	59	1	this	this	PRON
concept-2620	59	2	is	be	AUX
concept-2620	59	3	computationally	computationally	ADV
concept-2620	59	4	the	the	DET
concept-2620	59	5	same	same	ADJ
concept-2620	59	6	as	as	ADP
concept-2620	59	7	the	the	DET
concept-2620	59	8	mad	mad	ADJ
concept-2620	59	9	used	use	VERB
concept-2620	59	10	in	in	ADP
concept-2620	59	11	the	the	DET
concept-2620	59	12	kaggle	kaggle	ADJ
concept-2620	59	13	competition	competition	NOUN
concept-2620	59	14	described	describe	VERB
concept-2620	59	15	in	in	ADP
concept-2620	59	16	section	section	PROPN
concept-2620	59	17	iii	iii	PROPN
concept-2620	59	18	.	.	PUNCT
concept-2620	60	1	i.	i.	PROPN
concept-2620	60	2	model	model	PROPN
concept-2620	60	3	1	1	NUM
concept-2620	60	4	:	:	PUNCT
concept-2620	60	5	cnn	cnn	PROPN
concept-2620	60	6	model	model	NOUN
concept-2620	60	7	with	with	ADP
concept-2620	60	8	image	image	NOUN
concept-2620	60	9	input	input	NOUN
concept-2620	60	10	the	the	DET
concept-2620	60	11	first	first	ADJ
concept-2620	60	12	model	model	NOUN
concept-2620	60	13	was	be	AUX
concept-2620	60	14	a	a	DET
concept-2620	60	15	general	general	ADJ
concept-2620	60	16	cnn	cnn	PROPN
concept-2620	60	17	with	with	ADP
concept-2620	60	18	the	the	DET
concept-2620	60	19	x	x	NOUN
concept-2620	60	20	-	-	NOUN
concept-2620	60	21	ray	ray	NOUN
concept-2620	60	22	images	image	NOUN
concept-2620	60	23	as	as	ADP
concept-2620	60	24	an	an	DET
concept-2620	60	25	input	input	NOUN
concept-2620	60	26	.	.	PUNCT
concept-2620	61	1	each	each	DET
concept-2620	61	2	x	x	ADJ
concept-2620	61	3	-	-	NOUN
concept-2620	61	4	ray	ray	NOUN
concept-2620	61	5	image	image	NOUN
concept-2620	61	6	was	be	AUX
concept-2620	61	7	resized	resize	VERB
concept-2620	61	8	to	to	ADP
concept-2620	61	9	64x64	64x64	NUM
concept-2620	61	10	pixels	pixel	NOUN
concept-2620	61	11	and	and	CCONJ
concept-2620	61	12	consists	consist	VERB
concept-2620	61	13	of	of	ADP
concept-2620	61	14	three	three	NUM
concept-2620	61	15	channels	channel	NOUN
concept-2620	61	16	for	for	ADP
concept-2620	61	17	red	red	ADJ
concept-2620	61	18	,	,	PUNCT
concept-2620	61	19	green	green	ADJ
concept-2620	61	20	,	,	PUNCT
concept-2620	61	21	and	and	CCONJ
concept-2620	61	22	blue	blue	ADJ
concept-2620	61	23	.	.	PUNCT
concept-2620	62	1	a	a	DET
concept-2620	62	2	few	few	ADJ
concept-2620	62	3	different	different	ADJ
concept-2620	62	4	sizes	size	NOUN
concept-2620	62	5	were	be	AUX
concept-2620	62	6	tried	try	VERB
concept-2620	62	7	as	as	ADV
concept-2620	62	8	well	well	ADV
concept-2620	62	9	,	,	PUNCT
concept-2620	62	10	but	but	CCONJ
concept-2620	62	11	none	none	NOUN
concept-2620	62	12	of	of	ADP
concept-2620	62	13	them	they	PRON
concept-2620	62	14	appeared	appear	VERB
concept-2620	62	15	to	to	PART
concept-2620	62	16	give	give	VERB
concept-2620	62	17	a	a	DET
concept-2620	62	18	difference	difference	NOUN
concept-2620	62	19	large	large	ADJ
concept-2620	62	20	enough	enough	ADV
concept-2620	62	21	to	to	PART
concept-2620	62	22	justify	justify	VERB
concept-2620	62	23	changing	change	VERB
concept-2620	62	24	.	.	PUNCT
concept-2620	63	1	next	next	ADV
concept-2620	63	2	,	,	PUNCT
concept-2620	63	3	it	it	PRON
concept-2620	63	4	was	be	AUX
concept-2620	63	5	passed	pass	VERB
concept-2620	63	6	through	through	ADP
concept-2620	63	7	two	two	NUM
concept-2620	63	8	layers	layer	NOUN
concept-2620	63	9	of	of	ADP
concept-2620	63	10	convolution	convolution	NOUN
concept-2620	63	11	,	,	PUNCT
concept-2620	63	12	each	each	DET
concept-2620	63	13	consisting	consist	VERB
concept-2620	63	14	of	of	ADP
concept-2620	63	15	32	32	NUM
concept-2620	63	16	filters	filter	NOUN
concept-2620	63	17	and	and	CCONJ
concept-2620	63	18	a	a	DET
concept-2620	63	19	kernel	kernel	NOUN
concept-2620	63	20	size	size	NOUN
concept-2620	63	21	of	of	ADP
concept-2620	63	22	3	3	NUM
concept-2620	63	23	.	.	PUNCT
concept-2620	64	1	the	the	DET
concept-2620	64	2	rectified	rectified	ADJ
concept-2620	64	3	linear	linear	PROPN
concept-2620	64	4	unit	unit	NOUN
concept-2620	64	5	(	(	PUNCT
concept-2620	64	6	relu	relu	NOUN
concept-2620	64	7	)	)	PUNCT
concept-2620	64	8	activation	activation	NOUN
concept-2620	64	9	function	function	NOUN
concept-2620	64	10	was	be	AUX
concept-2620	64	11	used	use	VERB
concept-2620	64	12	in	in	ADP
concept-2620	64	13	these	these	DET
concept-2620	64	14	two	two	NUM
concept-2620	64	15	layers	layer	NOUN
concept-2620	64	16	,	,	PUNCT
concept-2620	64	17	as	as	ADV
concept-2620	64	18	well	well	ADV
concept-2620	64	19	.	.	PUNCT
concept-2620	65	1	preceding	precede	VERB
concept-2620	65	2	each	each	DET
concept-2620	65	3	convolution	convolution	NOUN
concept-2620	65	4	layer	layer	NOUN
concept-2620	65	5	is	be	AUX
concept-2620	65	6	a	a	DET
concept-2620	65	7	max	max	NOUN
concept-2620	65	8	-	-	PUNCT
concept-2620	65	9	pooling	pool	VERB
concept-2620	65	10	layer	layer	NOUN
concept-2620	65	11	with	with	ADP
concept-2620	65	12	a	a	DET
concept-2620	65	13	pool	pool	NOUN
concept-2620	65	14	size	size	NOUN
concept-2620	65	15	of	of	ADP
concept-2620	65	16	2	2	NUM
concept-2620	65	17	and	and	CCONJ
concept-2620	65	18	stride	stride	NOUN
concept-2620	65	19	of	of	ADP
concept-2620	65	20	2	2	NUM
concept-2620	65	21	.	.	PUNCT
concept-2620	66	1	this	this	PRON
concept-2620	66	2	helped	helped	AUX
concept-2620	66	3	prevent	prevent	VERB
concept-2620	66	4	our	our	PRON
concept-2620	66	5	model	model	NOUN
concept-2620	66	6	from	from	ADP
concept-2620	66	7	overfitting	overfitte	VERB
concept-2620	66	8	by	by	ADP
concept-2620	66	9	preserving	preserve	VERB
concept-2620	66	10	the	the	DET
concept-2620	66	11	features	feature	NOUN
concept-2620	66	12	and	and	CCONJ
concept-2620	66	13	reducing	reduce	VERB
concept-2620	66	14	the	the	DET
concept-2620	66	15	number	number	NOUN
concept-2620	66	16	of	of	ADP
concept-2620	66	17	parameters	parameter	NOUN
concept-2620	66	18	in	in	ADP
concept-2620	66	19	the	the	DET
concept-2620	66	20	model	model	NOUN
concept-2620	66	21	.	.	PUNCT
concept-2620	67	1	the	the	DET
concept-2620	67	2	model	model	NOUN
concept-2620	67	3	is	be	AUX
concept-2620	67	4	then	then	ADV
concept-2620	67	5	flattened	flatten	VERB
concept-2620	67	6	to	to	PART
concept-2620	67	7	create	create	VERB
concept-2620	67	8	a	a	DET
concept-2620	67	9	fully	fully	ADV
concept-2620	67	10	connected	connect	VERB
concept-2620	67	11	layer	layer	NOUN
concept-2620	67	12	.	.	PUNCT
concept-2620	68	1	this	this	DET
concept-2620	68	2	fully	fully	ADV
concept-2620	68	3	connected	connect	VERB
concept-2620	68	4	layer	layer	NOUN
concept-2620	68	5	consists	consist	VERB
concept-2620	68	6	of	of	ADP
concept-2620	68	7	a	a	DET
concept-2620	68	8	dense	dense	ADJ
concept-2620	68	9	layer	layer	NOUN
concept-2620	68	10	with	with	ADP
concept-2620	68	11	128	128	NUM
concept-2620	68	12	hidden	hide	VERB
concept-2620	68	13	neurons	neuron	NOUN
concept-2620	68	14	and	and	CCONJ
concept-2620	68	15	the	the	DET
concept-2620	68	16	relu	relu	NOUN
concept-2620	68	17	activation	activation	NOUN
concept-2620	68	18	function	function	NOUN
concept-2620	68	19	.	.	PUNCT
concept-2620	69	1	in	in	ADP
concept-2620	69	2	this	this	DET
concept-2620	69	3	layer	layer	NOUN
concept-2620	69	4	,	,	PUNCT
concept-2620	69	5	the	the	DET
concept-2620	69	6	weights	weight	NOUN
concept-2620	69	7	and	and	CCONJ
concept-2620	69	8	features	feature	NOUN
concept-2620	69	9	will	will	AUX
concept-2620	69	10	be	be	AUX
concept-2620	69	11	adjusted	adjust	VERB
concept-2620	69	12	again	again	ADV
concept-2620	69	13	.	.	PUNCT
concept-2620	70	1	finally	finally	ADV
concept-2620	70	2	,	,	PUNCT
concept-2620	70	3	it	it	PRON
concept-2620	70	4	is	be	AUX
concept-2620	70	5	passed	pass	VERB
concept-2620	70	6	through	through	ADP
concept-2620	70	7	the	the	DET
concept-2620	70	8	last	last	ADJ
concept-2620	70	9	dense	dense	ADJ
concept-2620	70	10	layer	layer	NOUN
concept-2620	70	11	,	,	PUNCT
concept-2620	70	12	which	which	PRON
concept-2620	70	13	has	have	VERB
concept-2620	70	14	1	1	NUM
concept-2620	70	15	hidden	hide	VERB
concept-2620	70	16	neuron	neuron	NOUN
concept-2620	70	17	and	and	CCONJ
concept-2620	70	18	a	a	DET
concept-2620	70	19	linear	linear	ADJ
concept-2620	70	20	function	function	NOUN
concept-2620	70	21	to	to	PART
concept-2620	70	22	get	get	VERB
concept-2620	70	23	the	the	DET
concept-2620	70	24	predicted	predict	VERB
concept-2620	70	25	output	output	NOUN
concept-2620	70	26	of	of	ADP
concept-2620	70	27	bone	bone	NOUN
concept-2620	70	28	age	age	NOUN
concept-2620	70	29	in	in	ADP
concept-2620	70	30	months	month	NOUN
concept-2620	70	31	(	(	PUNCT
concept-2620	70	32	figure	figure	NOUN
concept-2620	70	33	3	3	NUM
concept-2620	70	34	)	)	PUNCT
concept-2620	70	35	.	.	PUNCT
concept-2620	71	1	figure	figure	VERB
concept-2620	71	2	3	3	NUM
concept-2620	71	3	:	:	PUNCT
concept-2620	71	4	model	model	NOUN
concept-2620	71	5	1	1	NUM
concept-2620	71	6	cnn	cnn	NOUN
concept-2620	71	7	architecture	architecture	NOUN
concept-2620	71	8	when	when	SCONJ
concept-2620	71	9	running	run	VERB
concept-2620	71	10	the	the	DET
concept-2620	71	11	model	model	NOUN
concept-2620	71	12	,	,	PUNCT
concept-2620	71	13	the	the	DET
concept-2620	71	14	adam	adam	PROPN
concept-2620	71	15	optimizer	optimizer	NOUN
concept-2620	71	16	was	be	AUX
concept-2620	71	17	implemented	implement	VERB
concept-2620	71	18	with	with	ADP
concept-2620	71	19	a	a	DET
concept-2620	71	20	loss	loss	NOUN
concept-2620	71	21	function	function	NOUN
concept-2620	71	22	of	of	ADP
concept-2620	71	23	mean	mean	ADJ
concept-2620	71	24	squared	square	VERB
concept-2620	71	25	error	error	NOUN
concept-2620	71	26	(	(	PUNCT
concept-2620	71	27	mse	mse	NOUN
concept-2620	71	28	)	)	PUNCT
concept-2620	71	29	and	and	CCONJ
concept-2620	71	30	the	the	DET
concept-2620	71	31	performance	performance	NOUN
concept-2620	71	32	metric	metric	ADJ
concept-2620	71	33	of	of	ADP
concept-2620	71	34	mean	mean	ADJ
concept-2620	71	35	absolute	absolute	ADJ
concept-2620	71	36	error	error	NOUN
concept-2620	71	37	(	(	PUNCT
concept-2620	71	38	mae	mae	PROPN
concept-2620	71	39	)	)	PUNCT
concept-2620	71	40	.	.	PUNCT
concept-2620	72	1	the	the	DET
concept-2620	72	2	model	model	NOUN
concept-2620	72	3	was	be	AUX
concept-2620	72	4	fit	fit	ADJ
concept-2620	72	5	using	use	VERB
concept-2620	72	6	the	the	DET
concept-2620	72	7	validation	validation	NOUN
concept-2620	72	8	set	set	VERB
concept-2620	72	9	to	to	PART
concept-2620	72	10	monitor	monitor	VERB
concept-2620	72	11	how	how	SCONJ
concept-2620	72	12	well	well	ADV
concept-2620	72	13	the	the	DET
concept-2620	72	14	model	model	NOUN
concept-2620	72	15	was	be	AUX
concept-2620	72	16	being	be	AUX
concept-2620	72	17	trained	train	VERB
concept-2620	72	18	.	.	PUNCT
concept-2620	73	1	fitting	fit	VERB
concept-2620	73	2	the	the	DET
concept-2620	73	3	model	model	NOUN
concept-2620	73	4	with	with	ADP
concept-2620	73	5	30	30	NUM
concept-2620	73	6	epochs	epoch	NOUN
concept-2620	73	7	was	be	AUX
concept-2620	73	8	sufficient	sufficient	ADJ
concept-2620	73	9	since	since	SCONJ
concept-2620	73	10	the	the	DET
concept-2620	73	11	metrics	metric	NOUN
concept-2620	73	12	began	begin	VERB
concept-2620	73	13	to	to	PART
concept-2620	73	14	converge	converge	VERB
concept-2620	73	15	prior	prior	ADV
concept-2620	73	16	to	to	ADP
concept-2620	73	17	the	the	DET
concept-2620	73	18	30th	30th	ADJ
concept-2620	73	19	epoch	epoch	NOUN
concept-2620	73	20	.	.	PUNCT
concept-2620	74	1	a	a	DET
concept-2620	74	2	plot	plot	NOUN
concept-2620	74	3	of	of	ADP
concept-2620	74	4	the	the	DET
concept-2620	74	5	training	training	NOUN
concept-2620	74	6	and	and	CCONJ
concept-2620	74	7	validation	validation	NOUN
concept-2620	74	8	mae	mae	PROPN
concept-2620	74	9	can	can	AUX
concept-2620	74	10	be	be	AUX
concept-2620	74	11	seen	see	VERB
concept-2620	74	12	in	in	ADP
concept-2620	74	13	figure	figure	NOUN
concept-2620	74	14	4	4	NUM
concept-2620	74	15	.	.	PUNCT
concept-2620	74	16	looking	look	VERB
concept-2620	74	17	at	at	ADP
concept-2620	74	18	this	this	DET
concept-2620	74	19	plot	plot	NOUN
concept-2620	74	20	,	,	PUNCT
concept-2620	74	21	we	we	PRON
concept-2620	74	22	can	can	AUX
concept-2620	74	23	see	see	VERB
concept-2620	74	24	that	that	SCONJ
concept-2620	74	25	the	the	DET
concept-2620	74	26	training	training	NOUN
concept-2620	74	27	mae	mae	PROPN
concept-2620	74	28	decreases	decrease	NOUN
concept-2620	74	29	fast	fast	ADV
concept-2620	74	30	for	for	ADP
concept-2620	74	31	the	the	DET
concept-2620	74	32	first	first	ADJ
concept-2620	74	33	few	few	ADJ
concept-2620	74	34	epochs	epoch	NOUN
concept-2620	74	35	and	and	CCONJ
concept-2620	74	36	then	then	ADV
concept-2620	74	37	begins	begin	VERB
concept-2620	74	38	to	to	PART
concept-2620	74	39	level	level	VERB
concept-2620	74	40	off	off	ADP
concept-2620	74	41	and	and	CCONJ
concept-2620	74	42	that	that	SCONJ
concept-2620	74	43	the	the	DET
concept-2620	74	44	validation	validation	NOUN
concept-2620	74	45	mae	mae	PROPN
concept-2620	74	46	is	be	AUX
concept-2620	74	47	consistently	consistently	ADV
concept-2620	74	48	lower	low	ADJ
concept-2620	74	49	than	than	ADP
concept-2620	74	50	the	the	DET
concept-2620	74	51	training	training	NOUN
concept-2620	74	52	mae	mae	PROPN
concept-2620	74	53	with	with	ADP
concept-2620	74	54	the	the	DET
concept-2620	74	55	exception	exception	NOUN
concept-2620	74	56	of	of	ADP
concept-2620	74	57	one	one	NUM
concept-2620	74	58	epoch	epoch	NOUN
concept-2620	74	59	.	.	PUNCT
concept-2620	75	1	this	this	PRON
concept-2620	75	2	gives	give	VERB
concept-2620	75	3	us	we	PRON
concept-2620	75	4	a	a	DET
concept-2620	75	5	clue	clue	NOUN
concept-2620	75	6	that	that	PRON
concept-2620	75	7	our	our	PRON
concept-2620	75	8	model	model	NOUN
concept-2620	75	9	may	may	AUX
concept-2620	75	10	be	be	AUX
concept-2620	75	11	underfitting	underfitte	VERB
concept-2620	75	12	the	the	DET
concept-2620	75	13	data	datum	NOUN
concept-2620	75	14	since	since	SCONJ
concept-2620	75	15	there	there	PRON
concept-2620	75	16	is	be	VERB
concept-2620	75	17	still	still	ADV
concept-2620	75	18	room	room	NOUN
concept-2620	75	19	for	for	ADP
concept-2620	75	20	improvement	improvement	NOUN
concept-2620	75	21	on	on	ADP
concept-2620	75	22	the	the	DET
concept-2620	75	23	training	training	NOUN
concept-2620	75	24	data	datum	NOUN
concept-2620	75	25	.	.	PUNCT
concept-2620	76	1	the	the	DET
concept-2620	76	2	final	final	ADJ
concept-2620	76	3	validation	validation	NOUN
concept-2620	76	4	mae	mae	PROPN
concept-2620	76	5	for	for	ADP
concept-2620	76	6	this	this	DET
concept-2620	76	7	model	model	NOUN
concept-2620	76	8	was	be	AUX
concept-2620	76	9	29.29	29.29	NUM
concept-2620	76	10	months	month	NOUN
concept-2620	76	11	.	.	PUNCT
concept-2620	77	1	figure	figure	VERB
concept-2620	77	2	4	4	NUM
concept-2620	77	3	:	:	PUNCT
concept-2620	77	4	training	training	NOUN
concept-2620	77	5	and	and	CCONJ
concept-2620	77	6	validation	validation	NOUN
concept-2620	77	7	mae	mae	PROPN
concept-2620	77	8	on	on	ADP
concept-2620	77	9	model	model	NOUN
concept-2620	77	10	1	1	NUM
concept-2620	77	11	ii	ii	PROPN
concept-2620	77	12	.	.	PUNCT
concept-2620	77	13	model	model	PROPN
concept-2620	77	14	2	2	NUM
concept-2620	77	15	:	:	PUNCT
concept-2620	77	16	transfer	transfer	NOUN
concept-2620	77	17	learning	learning	NOUN
concept-2620	77	18	model	model	NOUN
concept-2620	77	19	with	with	ADP
concept-2620	77	20	image	image	NOUN
concept-2620	77	21	input	input	NOUN
concept-2620	77	22	the	the	DET
concept-2620	77	23	second	second	ADJ
concept-2620	77	24	group	group	NOUN
concept-2620	77	25	of	of	ADP
concept-2620	77	26	models	model	NOUN
concept-2620	77	27	consisted	consist	VERB
concept-2620	77	28	of	of	ADP
concept-2620	77	29	a	a	DET
concept-2620	77	30	transfer	transfer	NOUN
concept-2620	77	31	learning	learn	VERB
concept-2620	77	32	model	model	NOUN
concept-2620	77	33	with	with	ADP
concept-2620	77	34	the	the	DET
concept-2620	77	35	x	x	NOUN
concept-2620	77	36	-	-	NOUN
concept-2620	77	37	ray	ray	NOUN
concept-2620	77	38	images	image	NOUN
concept-2620	77	39	as	as	ADP
concept-2620	77	40	input	input	NOUN
concept-2620	77	41	.	.	PUNCT
concept-2620	78	1	the	the	DET
concept-2620	78	2	top	top	ADJ
concept-2620	78	3	models	model	NOUN
concept-2620	78	4	in	in	ADP
concept-2620	78	5	the	the	DET
concept-2620	78	6	kaggle	kaggle	ADJ
concept-2620	78	7	competition	competition	NOUN
concept-2620	78	8	used	use	VERB
concept-2620	78	9	inceptionv3	inceptionv3	NOUN
concept-2620	78	10	and	and	CCONJ
concept-2620	78	11	resnet50	resnet50	NOUN
concept-2620	78	12	for	for	ADP
concept-2620	78	13	their	their	PRON
concept-2620	78	14	pretrained	pretraine	VERB
concept-2620	78	15	models	model	NOUN
concept-2620	78	16	.	.	PUNCT
concept-2620	79	1	before	before	ADP
concept-2620	79	2	building	build	VERB
concept-2620	79	3	the	the	DET
concept-2620	79	4	transfer	transfer	NOUN
concept-2620	79	5	learning	learning	NOUN
concept-2620	79	6	model	model	NOUN
concept-2620	79	7	,	,	PUNCT
concept-2620	79	8	it	it	PRON
concept-2620	79	9	was	be	AUX
concept-2620	79	10	necessary	necessary	ADJ
concept-2620	79	11	to	to	PART
concept-2620	79	12	research	research	VERB
concept-2620	79	13	other	other	ADJ
concept-2620	79	14	pretrained	pretraine	VERB
concept-2620	79	15	models	model	NOUN
concept-2620	79	16	to	to	PART
concept-2620	79	17	see	see	VERB
concept-2620	79	18	if	if	SCONJ
concept-2620	79	19	there	there	PRON
concept-2620	79	20	was	be	VERB
concept-2620	79	21	anything	anything	PRON
concept-2620	79	22	else	else	ADV
concept-2620	79	23	appropriate	appropriate	ADJ
concept-2620	79	24	to	to	PART
concept-2620	79	25	use	use	VERB
concept-2620	79	26	.	.	PUNCT
concept-2620	80	1	it	it	PRON
concept-2620	80	2	was	be	AUX
concept-2620	80	3	found	find	VERB
concept-2620	80	4	that	that	SCONJ
concept-2620	80	5	there	there	PRON
concept-2620	80	6	were	be	VERB
concept-2620	80	7	some	some	DET
concept-2620	80	8	newer	new	ADJ
concept-2620	80	9	and	and	CCONJ
concept-2620	80	10	less	less	ADV
concept-2620	80	11	trained	train	VERB
concept-2620	80	12	models	model	NOUN
concept-2620	80	13	that	that	PRON
concept-2620	80	14	had	have	VERB
concept-2620	80	15	higher	high	ADJ
concept-2620	80	16	top-1	top-1	ADP
concept-2620	80	17	accuracies	accuracy	NOUN
concept-2620	80	18	(	(	PUNCT
concept-2620	80	19	the	the	DET
concept-2620	80	20	accuracy	accuracy	NOUN
concept-2620	80	21	of	of	ADP
concept-2620	80	22	the	the	DET
concept-2620	80	23	model	model	NOUN
concept-2620	80	24	on	on	ADP
concept-2620	80	25	the	the	DET
concept-2620	80	26	popular	popular	ADJ
concept-2620	80	27	imagenet	imagenet	NOUN
concept-2620	80	28	validation	validation	NOUN
concept-2620	80	29	set	set	NOUN
concept-2620	80	30	)	)	PUNCT
concept-2620	80	31	in	in	ADP
concept-2620	80	32	comparison	comparison	NOUN
concept-2620	80	33	to	to	ADP
concept-2620	80	34	the	the	DET
concept-2620	80	35	previous	previous	ADJ
concept-2620	80	36	models	model	NOUN
concept-2620	80	37	used	use	VERB
concept-2620	80	38	.	.	PUNCT
concept-2620	81	1	a	a	DET
concept-2620	81	2	table	table	NOUN
concept-2620	81	3	of	of	ADP
concept-2620	81	4	the	the	DET
concept-2620	81	5	pretrained	pretraine	VERB
concept-2620	81	6	models	model	NOUN
concept-2620	81	7	are	be	AUX
concept-2620	81	8	listed	list	VERB
concept-2620	81	9	in	in	ADP
concept-2620	81	10	table	table	NOUN
concept-2620	81	11	1	1	NUM
concept-2620	81	12	.	.	PUNCT
concept-2620	81	13	table	table	NOUN
concept-2620	81	14	1	1	NUM
concept-2620	81	15	:	:	PUNCT
concept-2620	81	16	list	list	NOUN
concept-2620	81	17	of	of	ADP
concept-2620	81	18	transfer	transfer	NOUN
concept-2620	81	19	learning	learning	NOUN
concept-2620	81	20	models	model	NOUN
concept-2620	81	21	performance	performance	NOUN
concept-2620	81	22	on	on	ADP
concept-2620	81	23	imagenet	imagenet	ADJ
concept-2620	81	24	dataset	dataset	NOUN
concept-2620	81	25	nasnetlarge	nasnetlarge	NOUN
concept-2620	81	26	,	,	PUNCT
concept-2620	81	27	efficientnetb7	efficientnetb7	NOUN
concept-2620	81	28	and	and	CCONJ
concept-2620	81	29	inceptionresnetv2	inceptionresnetv2	NOUN
concept-2620	81	30	were	be	AUX
concept-2620	81	31	all	all	ADV
concept-2620	81	32	attempted	attempt	VERB
concept-2620	81	33	for	for	ADP
concept-2620	81	34	this	this	DET
concept-2620	81	35	project	project	NOUN
concept-2620	81	36	.	.	PUNCT
concept-2620	82	1	nasnetlarge	nasnetlarge	PROPN
concept-2620	82	2	had	have	VERB
concept-2620	82	3	the	the	DET
concept-2620	82	4	best	good	ADJ
concept-2620	82	5	overall	overall	ADJ
concept-2620	82	6	performance	performance	NOUN
concept-2620	82	7	but	but	CCONJ
concept-2620	82	8	consisted	consist	VERB
concept-2620	82	9	of	of	ADP
concept-2620	82	10	an	an	DET
concept-2620	82	11	input	input	NOUN
concept-2620	82	12	size	size	NOUN
concept-2620	82	13	of	of	ADP
concept-2620	82	14	331x331	331x331	NUM
concept-2620	82	15	pixels	pixel	NOUN
concept-2620	82	16	.	.	PUNCT
concept-2620	83	1	due	due	ADP
concept-2620	83	2	to	to	ADP
concept-2620	83	3	ram	ram	VERB
concept-2620	83	4	and	and	CCONJ
concept-2620	83	5	disk	disk	NOUN
concept-2620	83	6	constrictions	constriction	NOUN
concept-2620	83	7	,	,	PUNCT
concept-2620	83	8	model	model	NOUN
concept-2620	83	9	2	2	NUM
concept-2620	83	10	will	will	AUX
concept-2620	83	11	focus	focus	VERB
concept-2620	83	12	solely	solely	ADV
concept-2620	83	13	on	on	ADP
concept-2620	83	14	inceptionresnetv2	inceptionresnetv2	NOUN
concept-2620	83	15	since	since	SCONJ
concept-2620	83	16	it	it	PRON
concept-2620	83	17	is	be	AUX
concept-2620	83	18	computationally	computationally	ADV
concept-2620	83	19	less	less	ADV
concept-2620	83	20	expensive	expensive	ADJ
concept-2620	83	21	than	than	ADP
concept-2620	83	22	nasnetlarge	nasnetlarge	ADJ
concept-2620	83	23	.	.	PUNCT
concept-2620	84	1	in	in	ADP
concept-2620	84	2	order	order	NOUN
concept-2620	84	3	to	to	PART
concept-2620	84	4	input	input	VERB
concept-2620	84	5	the	the	DET
concept-2620	84	6	images	image	NOUN
concept-2620	84	7	into	into	ADP
concept-2620	84	8	the	the	DET
concept-2620	84	9	inceptionresnetv2	inceptionresnetv2	PROPN
concept-2620	84	10	model	model	NOUN
concept-2620	84	11	,	,	PUNCT
concept-2620	84	12	they	they	PRON
concept-2620	84	13	were	be	AUX
concept-2620	84	14	resized	resize	VERB
concept-2620	84	15	to	to	ADP
concept-2620	84	16	150x150	150x150	NUM
concept-2620	84	17	pixels	pixel	NOUN
concept-2620	84	18	and	and	CCONJ
concept-2620	84	19	3	3	NUM
concept-2620	84	20	channels	channel	NOUN
concept-2620	84	21	.	.	PUNCT
concept-2620	85	1	the	the	DET
concept-2620	85	2	images	image	NOUN
concept-2620	85	3	were	be	AUX
concept-2620	85	4	then	then	ADV
concept-2620	85	5	trained	train	VERB
concept-2620	85	6	on	on	ADP
concept-2620	85	7	an	an	DET
concept-2620	85	8	inceptionresnetv2	inceptionresnetv2	ADJ
concept-2620	85	9	transfer	transfer	NOUN
concept-2620	85	10	learning	learning	NOUN
concept-2620	85	11	model	model	NOUN
concept-2620	85	12	.	.	PUNCT
concept-2620	86	1	this	this	PRON
concept-2620	86	2	was	be	AUX
concept-2620	86	3	followed	follow	VERB
concept-2620	86	4	by	by	ADP
concept-2620	86	5	a	a	DET
concept-2620	86	6	layer	layer	NOUN
concept-2620	86	7	of	of	ADP
concept-2620	86	8	flattening	flattening	NOUN
concept-2620	86	9	,	,	PUNCT
concept-2620	86	10	a	a	DET
concept-2620	86	11	dense	dense	ADJ
concept-2620	86	12	layer	layer	NOUN
concept-2620	86	13	consisting	consist	VERB
concept-2620	86	14	of	of	ADP
concept-2620	86	15	256	256	NUM
concept-2620	86	16	hidden	hide	VERB
concept-2620	86	17	neurons	neuron	NOUN
concept-2620	86	18	with	with	ADP
concept-2620	86	19	a	a	DET
concept-2620	86	20	relu	relu	NOUN
concept-2620	86	21	activation	activation	NOUN
concept-2620	86	22	function	function	NOUN
concept-2620	86	23	,	,	PUNCT
concept-2620	86	24	and	and	CCONJ
concept-2620	86	25	then	then	ADV
concept-2620	86	26	passed	pass	VERB
concept-2620	86	27	to	to	ADP
concept-2620	86	28	the	the	DET
concept-2620	86	29	output	output	NOUN
concept-2620	86	30	layer	layer	NOUN
concept-2620	86	31	of	of	ADP
concept-2620	86	32	one	one	NUM
concept-2620	86	33	node	node	NOUN
concept-2620	86	34	with	with	ADP
concept-2620	86	35	a	a	DET
concept-2620	86	36	linear	linear	ADJ
concept-2620	86	37	activation	activation	NOUN
concept-2620	86	38	function	function	NOUN
concept-2620	86	39	.	.	PUNCT
concept-2620	87	1	this	this	DET
concept-2620	87	2	full	full	ADJ
concept-2620	87	3	architecture	architecture	NOUN
concept-2620	87	4	can	can	AUX
concept-2620	87	5	be	be	AUX
concept-2620	87	6	seen	see	VERB
concept-2620	87	7	in	in	ADP
concept-2620	87	8	figure	figure	NOUN
concept-2620	87	9	5	5	NUM
concept-2620	87	10	.	.	PUNCT
concept-2620	88	1	figure	figure	VERB
concept-2620	88	2	5	5	NUM
concept-2620	88	3	:	:	PUNCT
concept-2620	88	4	model	model	NOUN
concept-2620	88	5	2	2	NUM
concept-2620	88	6	(	(	PUNCT
concept-2620	88	7	transfer	transfer	NOUN
concept-2620	88	8	learning	learning	NOUN
concept-2620	88	9	with	with	ADP
concept-2620	88	10	image	image	NOUN
concept-2620	88	11	input	input	NOUN
concept-2620	88	12	)	)	PUNCT
concept-2620	88	13	architecture	architecture	NOUN
concept-2620	88	14	when	when	SCONJ
concept-2620	88	15	running	run	VERB
concept-2620	88	16	the	the	DET
concept-2620	88	17	model	model	NOUN
concept-2620	88	18	,	,	PUNCT
concept-2620	88	19	the	the	DET
concept-2620	88	20	adam	adam	PROPN
concept-2620	88	21	optimizer	optimizer	NOUN
concept-2620	88	22	was	be	AUX
concept-2620	88	23	used	use	VERB
concept-2620	88	24	with	with	ADP
concept-2620	88	25	a	a	DET
concept-2620	88	26	learning	learn	VERB
concept-2620	88	27	rate	rate	NOUN
concept-2620	88	28	of	of	ADP
concept-2620	88	29	0.0001	0.0001	NUM
concept-2620	88	30	with	with	ADP
concept-2620	88	31	mse	mse	NOUN
concept-2620	88	32	as	as	ADP
concept-2620	88	33	the	the	DET
concept-2620	88	34	loss	loss	NOUN
concept-2620	88	35	function	function	NOUN
concept-2620	88	36	and	and	CCONJ
concept-2620	88	37	mae	mae	PROPN
concept-2620	88	38	as	as	ADP
concept-2620	88	39	the	the	DET
concept-2620	88	40	performance	performance	NOUN
concept-2620	88	41	metric	metric	ADJ
concept-2620	88	42	.	.	PUNCT
concept-2620	89	1	running	run	VERB
concept-2620	89	2	the	the	DET
concept-2620	89	3	model	model	NOUN
concept-2620	89	4	for	for	ADP
concept-2620	89	5	30	30	NUM
concept-2620	89	6	epochs	epoch	NOUN
concept-2620	89	7	proved	prove	VERB
concept-2620	89	8	to	to	PART
concept-2620	89	9	be	be	AUX
concept-2620	89	10	sufficient	sufficient	ADJ
concept-2620	89	11	since	since	SCONJ
concept-2620	89	12	the	the	DET
concept-2620	89	13	metrics	metric	NOUN
concept-2620	89	14	began	begin	VERB
concept-2620	89	15	to	to	PART
concept-2620	89	16	converge	converge	VERB
concept-2620	89	17	before	before	ADP
concept-2620	89	18	the	the	DET
concept-2620	89	19	30th	30th	ADJ
concept-2620	89	20	epoch	epoch	NOUN
concept-2620	89	21	.	.	PUNCT
concept-2620	90	1	the	the	DET
concept-2620	90	2	model	model	NOUN
concept-2620	90	3	was	be	AUX
concept-2620	90	4	fit	fit	ADJ
concept-2620	90	5	using	use	VERB
concept-2620	90	6	the	the	DET
concept-2620	90	7	validation	validation	NOUN
concept-2620	90	8	set	set	VERB
concept-2620	90	9	to	to	PART
concept-2620	90	10	monitor	monitor	VERB
concept-2620	90	11	how	how	SCONJ
concept-2620	90	12	well	well	ADV
concept-2620	90	13	the	the	DET
concept-2620	90	14	model	model	NOUN
concept-2620	90	15	was	be	AUX
concept-2620	90	16	being	be	AUX
concept-2620	90	17	trained	train	VERB
concept-2620	90	18	.	.	PUNCT
concept-2620	91	1	a	a	DET
concept-2620	91	2	plot	plot	NOUN
concept-2620	91	3	of	of	ADP
concept-2620	91	4	the	the	DET
concept-2620	91	5	training	training	NOUN
concept-2620	91	6	and	and	CCONJ
concept-2620	91	7	validation	validation	NOUN
concept-2620	91	8	mae	mae	PROPN
concept-2620	91	9	can	can	AUX
concept-2620	91	10	be	be	AUX
concept-2620	91	11	seen	see	VERB
concept-2620	91	12	in	in	ADP
concept-2620	91	13	figure	figure	NOUN
concept-2620	91	14	6	6	NUM
concept-2620	91	15	.	.	PUNCT
concept-2620	92	1	this	this	DET
concept-2620	92	2	plot	plot	NOUN
concept-2620	92	3	shows	show	VERB
concept-2620	92	4	the	the	DET
concept-2620	92	5	training	training	NOUN
concept-2620	92	6	mae	mae	NOUN
concept-2620	92	7	decreasing	decrease	VERB
concept-2620	92	8	and	and	CCONJ
concept-2620	92	9	eventually	eventually	ADV
concept-2620	92	10	converging	converge	VERB
concept-2620	92	11	.	.	PUNCT
concept-2620	93	1	from	from	ADP
concept-2620	93	2	this	this	DET
concept-2620	93	3	plot	plot	NOUN
concept-2620	93	4	,	,	PUNCT
concept-2620	93	5	we	we	PRON
concept-2620	93	6	can	can	AUX
concept-2620	93	7	assume	assume	VERB
concept-2620	93	8	the	the	DET
concept-2620	93	9	model	model	NOUN
concept-2620	93	10	is	be	AUX
concept-2620	93	11	fitting	fit	VERB
concept-2620	93	12	better	well	ADJ
concept-2620	93	13	than	than	ADP
concept-2620	93	14	the	the	DET
concept-2620	93	15	previous	previous	ADJ
concept-2620	93	16	model	model	NOUN
concept-2620	93	17	since	since	SCONJ
concept-2620	93	18	the	the	DET
concept-2620	93	19	validation	validation	NOUN
concept-2620	93	20	mae	mae	PROPN
concept-2620	93	21	is	be	AUX
concept-2620	93	22	not	not	PART
concept-2620	93	23	consistently	consistently	ADV
concept-2620	93	24	higher	high	ADJ
concept-2620	93	25	or	or	CCONJ
concept-2620	93	26	lower	low	ADJ
concept-2620	93	27	than	than	ADP
concept-2620	93	28	the	the	DET
concept-2620	93	29	training	training	NOUN
concept-2620	93	30	mae	mae	PROPN
concept-2620	93	31	.	.	PUNCT
concept-2620	94	1	the	the	DET
concept-2620	94	2	final	final	ADJ
concept-2620	94	3	validation	validation	NOUN
concept-2620	94	4	mae	mae	PROPN
concept-2620	94	5	for	for	ADP
concept-2620	94	6	this	this	DET
concept-2620	94	7	model	model	NOUN
concept-2620	94	8	was	be	AUX
concept-2620	94	9	24.13	24.13	NUM
concept-2620	94	10	months	month	NOUN
concept-2620	94	11	.	.	PUNCT
concept-2620	95	1	figure	figure	VERB
concept-2620	95	2	6	6	NUM
concept-2620	95	3	:	:	PUNCT
concept-2620	95	4	training	training	NOUN
concept-2620	95	5	and	and	CCONJ
concept-2620	95	6	validation	validation	NOUN
concept-2620	95	7	mae	mae	PROPN
concept-2620	95	8	on	on	ADP
concept-2620	95	9	model	model	NOUN
concept-2620	95	10	2	2	NUM
concept-2620	95	11	iii	iii	NOUN
concept-2620	95	12	.	.	PROPN
concept-2620	95	13	model	model	PROPN
concept-2620	95	14	3	3	NUM
concept-2620	95	15	:	:	PUNCT
concept-2620	95	16	transfer	transfer	NOUN
concept-2620	95	17	learning	learning	NOUN
concept-2620	95	18	model	model	NOUN
concept-2620	95	19	with	with	ADP
concept-2620	95	20	image	image	NOUN
concept-2620	95	21	input	input	NOUN
concept-2620	95	22	combined	combine	VERB
concept-2620	95	23	with	with	ADP
concept-2620	95	24	gender	gender	NOUN
concept-2620	95	25	the	the	DET
concept-2620	95	26	third	third	ADJ
concept-2620	95	27	model	model	NOUN
concept-2620	95	28	was	be	AUX
concept-2620	95	29	a	a	DET
concept-2620	95	30	multiple	multiple	ADJ
concept-2620	95	31	inputs	input	NOUN
concept-2620	95	32	model	model	NOUN
concept-2620	95	33	consisting	consist	VERB
concept-2620	95	34	of	of	ADP
concept-2620	95	35	an	an	DET
concept-2620	95	36	image	image	NOUN
concept-2620	95	37	input	input	NOUN
concept-2620	95	38	(	(	PUNCT
concept-2620	95	39	x	x	NOUN
concept-2620	95	40	-	-	NOUN
concept-2620	95	41	rays	ray	NOUN
concept-2620	95	42	)	)	PUNCT
concept-2620	95	43	and	and	CCONJ
concept-2620	95	44	a	a	DET
concept-2620	95	45	non	non	ADJ
concept-2620	95	46	-	-	ADJ
concept-2620	95	47	image	image	ADJ
concept-2620	95	48	input	input	NOUN
concept-2620	95	49	(	(	PUNCT
concept-2620	95	50	gender	gender	NOUN
concept-2620	95	51	)	)	PUNCT
concept-2620	95	52	.	.	PUNCT
concept-2620	96	1	this	this	DET
concept-2620	96	2	architecture	architecture	NOUN
concept-2620	96	3	was	be	AUX
concept-2620	96	4	inspired	inspire	VERB
concept-2620	96	5	by	by	ADP
concept-2620	96	6	a	a	DET
concept-2620	96	7	combination	combination	NOUN
concept-2620	96	8	of	of	ADP
concept-2620	96	9	the	the	DET
concept-2620	96	10	top	top	ADJ
concept-2620	96	11	two	two	NUM
concept-2620	96	12	models	model	NOUN
concept-2620	96	13	from	from	ADP
concept-2620	96	14	the	the	DET
concept-2620	96	15	kaggle	kaggle	ADJ
concept-2620	96	16	competition	competition	NOUN
concept-2620	96	17	as	as	SCONJ
concept-2620	96	18	stated	state	VERB
concept-2620	96	19	in	in	ADP
concept-2620	96	20	the	the	DET
concept-2620	96	21	literature	literature	PROPN
concept-2620	96	22	review	review	NOUN
concept-2620	96	23	.	.	PUNCT
concept-2620	97	1	in	in	ADP
concept-2620	97	2	order	order	NOUN
concept-2620	97	3	to	to	PART
concept-2620	97	4	combine	combine	VERB
concept-2620	97	5	these	these	DET
concept-2620	97	6	two	two	NUM
concept-2620	97	7	inputs	input	NOUN
concept-2620	97	8	,	,	PUNCT
concept-2620	97	9	the	the	DET
concept-2620	97	10	widely	widely	ADV
concept-2620	97	11	used	use	VERB
concept-2620	97	12	method	method	NOUN
concept-2620	97	13	flow_from_dataframe	flow_from_dataframe	PROPN
concept-2620	97	14	(	(	PUNCT
concept-2620	97	15	)	)	PUNCT
concept-2620	97	16	will	will	AUX
concept-2620	97	17	not	not	PART
concept-2620	97	18	work	work	VERB
concept-2620	97	19	.	.	PUNCT
concept-2620	98	1	a	a	DET
concept-2620	98	2	new	new	ADJ
concept-2620	98	3	method	method	NOUN
concept-2620	98	4	called	call	VERB
concept-2620	98	5	flow	flow	NOUN
concept-2620	98	6	(	(	PUNCT
concept-2620	98	7	)	)	PUNCT
concept-2620	98	8	was	be	AUX
concept-2620	98	9	researched	research	VERB
concept-2620	98	10	and	and	CCONJ
concept-2620	98	11	used	use	VERB
concept-2620	98	12	instead	instead	ADV
concept-2620	98	13	.	.	PUNCT
concept-2620	99	1	this	this	DET
concept-2620	99	2	method	method	NOUN
concept-2620	99	3	allows	allow	VERB
concept-2620	99	4	the	the	DET
concept-2620	99	5	augmented	augment	VERB
concept-2620	99	6	images	image	NOUN
concept-2620	99	7	and	and	CCONJ
concept-2620	99	8	gender	gender	NOUN
concept-2620	99	9	to	to	PART
concept-2620	99	10	be	be	AUX
concept-2620	99	11	combined	combine	VERB
concept-2620	99	12	into	into	ADP
concept-2620	99	13	a	a	DET
concept-2620	99	14	list	list	NOUN
concept-2620	99	15	and	and	CCONJ
concept-2620	99	16	passed	pass	VERB
concept-2620	99	17	through	through	ADP
concept-2620	99	18	model	model	NOUN
concept-2620	99	19	fitting	fitting	ADJ
concept-2620	99	20	.	.	PUNCT
concept-2620	100	1	the	the	DET
concept-2620	100	2	architecture	architecture	NOUN
concept-2620	100	3	for	for	ADP
concept-2620	100	4	this	this	DET
concept-2620	100	5	model	model	NOUN
concept-2620	100	6	is	be	AUX
concept-2620	100	7	designed	design	VERB
concept-2620	100	8	as	as	ADP
concept-2620	100	9	two	two	NUM
concept-2620	100	10	separate	separate	ADJ
concept-2620	100	11	models	model	NOUN
concept-2620	100	12	that	that	PRON
concept-2620	100	13	are	be	AUX
concept-2620	100	14	linked	link	VERB
concept-2620	100	15	to	to	PART
concept-2620	100	16	create	create	VERB
concept-2620	100	17	one	one	NUM
concept-2620	100	18	single	single	ADJ
concept-2620	100	19	model	model	NOUN
concept-2620	100	20	.	.	PUNCT
concept-2620	101	1	the	the	DET
concept-2620	101	2	first	first	ADJ
concept-2620	101	3	input	input	NOUN
concept-2620	101	4	,	,	PUNCT
concept-2620	101	5	the	the	DET
concept-2620	101	6	x	x	NOUN
concept-2620	101	7	-	-	NOUN
concept-2620	101	8	ray	ray	NOUN
concept-2620	101	9	images	image	NOUN
concept-2620	101	10	,	,	PUNCT
concept-2620	101	11	were	be	AUX
concept-2620	101	12	converted	convert	VERB
concept-2620	101	13	into	into	ADP
concept-2620	101	14	a	a	DET
concept-2620	101	15	3	3	NUM
concept-2620	101	16	-	-	PUNCT
concept-2620	101	17	dimensional	dimensional	ADJ
concept-2620	101	18	numeric	numeric	ADJ
concept-2620	101	19	array	array	NOUN
concept-2620	101	20	and	and	CCONJ
concept-2620	101	21	passed	pass	VERB
concept-2620	101	22	through	through	ADP
concept-2620	101	23	a	a	DET
concept-2620	101	24	convolutional	convolutional	ADJ
concept-2620	101	25	base	base	NOUN
concept-2620	101	26	containing	contain	VERB
concept-2620	101	27	the	the	DET
concept-2620	101	28	pretrained	pretraine	VERB
concept-2620	101	29	inceptionresnetv2	inceptionresnetv2	PROPN
concept-2620	101	30	model	model	NOUN
concept-2620	101	31	.	.	PUNCT
concept-2620	102	1	similarly	similarly	ADV
concept-2620	102	2	,	,	PUNCT
concept-2620	102	3	the	the	DET
concept-2620	102	4	second	second	ADJ
concept-2620	102	5	input	input	NOUN
concept-2620	102	6	,	,	PUNCT
concept-2620	102	7	gender	gender	NOUN
concept-2620	102	8	,	,	PUNCT
concept-2620	102	9	was	be	AUX
concept-2620	102	10	converted	convert	VERB
concept-2620	102	11	to	to	ADP
concept-2620	102	12	a	a	DET
concept-2620	102	13	1	1	NUM
concept-2620	102	14	-	-	PUNCT
concept-2620	102	15	dimensional	dimensional	ADJ
concept-2620	102	16	numeric	numeric	ADJ
concept-2620	102	17	array	array	NOUN
concept-2620	102	18	and	and	CCONJ
concept-2620	102	19	passed	pass	VERB
concept-2620	102	20	through	through	ADP
concept-2620	102	21	a	a	DET
concept-2620	102	22	dense	dense	ADJ
concept-2620	102	23	layer	layer	NOUN
concept-2620	102	24	consisting	consist	VERB
concept-2620	102	25	of	of	ADP
concept-2620	102	26	32	32	NUM
concept-2620	102	27	hidden	hide	VERB
concept-2620	102	28	neurons	neuron	NOUN
concept-2620	102	29	and	and	CCONJ
concept-2620	102	30	the	the	DET
concept-2620	102	31	relu	relu	NOUN
concept-2620	102	32	activation	activation	NOUN
concept-2620	102	33	function	function	NOUN
concept-2620	102	34	.	.	PUNCT
concept-2620	103	1	each	each	PRON
concept-2620	103	2	of	of	ADP
concept-2620	103	3	these	these	DET
concept-2620	103	4	models	model	NOUN
concept-2620	103	5	are	be	AUX
concept-2620	103	6	then	then	ADV
concept-2620	103	7	flattened	flatten	VERB
concept-2620	103	8	to	to	PART
concept-2620	103	9	create	create	VERB
concept-2620	103	10	a	a	DET
concept-2620	103	11	1	1	NUM
concept-2620	103	12	-	-	PUNCT
concept-2620	103	13	dimensional	dimensional	ADJ
concept-2620	103	14	vector	vector	NOUN
concept-2620	103	15	.	.	PUNCT
concept-2620	104	1	taking	take	VERB
concept-2620	104	2	these	these	DET
concept-2620	104	3	two	two	NUM
concept-2620	104	4	flattened	flatten	VERB
concept-2620	104	5	layers	layer	NOUN
concept-2620	104	6	,	,	PUNCT
concept-2620	104	7	the	the	DET
concept-2620	104	8	vectors	vector	NOUN
concept-2620	104	9	were	be	AUX
concept-2620	104	10	concatenated	concatenate	VERB
concept-2620	104	11	and	and	CCONJ
concept-2620	104	12	passed	pass	VERB
concept-2620	104	13	through	through	ADP
concept-2620	104	14	two	two	NUM
concept-2620	104	15	dense	dense	ADJ
concept-2620	104	16	layers	layer	NOUN
concept-2620	104	17	having	have	VERB
concept-2620	104	18	256	256	NUM
concept-2620	104	19	hidden	hidden	ADJ
concept-2620	104	20	neurons	neuron	NOUN
concept-2620	104	21	and	and	CCONJ
concept-2620	104	22	a	a	DET
concept-2620	104	23	relu	relu	NOUN
concept-2620	104	24	activation	activation	NOUN
concept-2620	104	25	function	function	NOUN
concept-2620	104	26	.	.	PUNCT
concept-2620	105	1	two	two	NUM
concept-2620	105	2	dense	dense	ADJ
concept-2620	105	3	layers	layer	NOUN
concept-2620	105	4	were	be	AUX
concept-2620	105	5	used	use	VERB
concept-2620	105	6	to	to	PART
concept-2620	105	7	give	give	VERB
concept-2620	105	8	the	the	DET
concept-2620	105	9	model	model	NOUN
concept-2620	105	10	enough	enough	ADJ
concept-2620	105	11	parameters	parameter	NOUN
concept-2620	105	12	to	to	PART
concept-2620	105	13	analyze	analyze	VERB
concept-2620	105	14	the	the	DET
concept-2620	105	15	relationship	relationship	NOUN
concept-2620	105	16	between	between	ADP
concept-2620	105	17	the	the	DET
concept-2620	105	18	two	two	NUM
concept-2620	105	19	inputs	input	NOUN
concept-2620	105	20	,	,	PUNCT
concept-2620	105	21	x	x	NOUN
concept-2620	105	22	-	-	NOUN
concept-2620	105	23	ray	ray	NOUN
concept-2620	105	24	and	and	CCONJ
concept-2620	105	25	gender	gender	NOUN
concept-2620	105	26	.	.	PUNCT
concept-2620	106	1	the	the	DET
concept-2620	106	2	final	final	ADJ
concept-2620	106	3	dense	dense	ADJ
concept-2620	106	4	layer	layer	NOUN
concept-2620	106	5	was	be	AUX
concept-2620	106	6	connected	connect	VERB
concept-2620	106	7	to	to	ADP
concept-2620	106	8	an	an	DET
concept-2620	106	9	output	output	NOUN
concept-2620	106	10	layer	layer	NOUN
concept-2620	106	11	that	that	PRON
concept-2620	106	12	had	have	VERB
concept-2620	106	13	1	1	NUM
concept-2620	106	14	neuron	neuron	NOUN
concept-2620	106	15	and	and	CCONJ
concept-2620	106	16	a	a	DET
concept-2620	106	17	linear	linear	ADJ
concept-2620	106	18	activation	activation	NOUN
concept-2620	106	19	function	function	NOUN
concept-2620	106	20	.	.	PUNCT
concept-2620	107	1	the	the	DET
concept-2620	107	2	architecture	architecture	NOUN
concept-2620	107	3	for	for	ADP
concept-2620	107	4	this	this	DET
concept-2620	107	5	model	model	NOUN
concept-2620	107	6	can	can	AUX
concept-2620	107	7	be	be	AUX
concept-2620	107	8	seen	see	VERB
concept-2620	107	9	in	in	ADP
concept-2620	107	10	figure	figure	NOUN
concept-2620	107	11	7	7	NUM
concept-2620	107	12	.	.	PUNCT
concept-2620	107	13	figure	figure	VERB
concept-2620	107	14	7	7	NUM
concept-2620	107	15	:	:	PUNCT
concept-2620	107	16	model	model	NOUN
concept-2620	107	17	3	3	NUM
concept-2620	107	18	(	(	PUNCT
concept-2620	107	19	image	image	NOUN
concept-2620	107	20	input	input	NOUN
concept-2620	107	21	with	with	ADP
concept-2620	107	22	transfer	transfer	NOUN
concept-2620	107	23	learning	learning	NOUN
concept-2620	107	24	concatenated	concatenate	VERB
concept-2620	107	25	with	with	ADP
concept-2620	107	26	gender	gender	NOUN
concept-2620	107	27	input	input	NOUN
concept-2620	107	28	)	)	PUNCT
concept-2620	107	29	during	during	ADP
concept-2620	107	30	the	the	DET
concept-2620	107	31	compilation	compilation	NOUN
concept-2620	107	32	of	of	ADP
concept-2620	107	33	the	the	DET
concept-2620	107	34	model	model	NOUN
concept-2620	107	35	,	,	PUNCT
concept-2620	107	36	mse	mse	PROPN
concept-2620	107	37	was	be	AUX
concept-2620	107	38	used	use	VERB
concept-2620	107	39	as	as	ADP
concept-2620	107	40	the	the	DET
concept-2620	107	41	loss	loss	NOUN
concept-2620	107	42	function	function	NOUN
concept-2620	107	43	,	,	PUNCT
concept-2620	107	44	mae	mae	PROPN
concept-2620	107	45	was	be	AUX
concept-2620	107	46	used	use	VERB
concept-2620	107	47	as	as	ADP
concept-2620	107	48	the	the	DET
concept-2620	107	49	performance	performance	NOUN
concept-2620	107	50	metric	metric	ADJ
concept-2620	107	51	and	and	CCONJ
concept-2620	107	52	the	the	DET
concept-2620	107	53	adam	adam	PROPN
concept-2620	107	54	optimizer	optimizer	NOUN
concept-2620	107	55	was	be	AUX
concept-2620	107	56	used	use	VERB
concept-2620	107	57	with	with	ADP
concept-2620	107	58	a	a	DET
concept-2620	107	59	one	one	NUM
concept-2620	107	60	-	-	PUNCT
concept-2620	107	61	tenth	tenth	NOUN
concept-2620	107	62	of	of	ADP
concept-2620	107	63	a	a	DET
concept-2620	107	64	smaller	small	ADJ
concept-2620	107	65	learning	learning	NOUN
concept-2620	107	66	rate	rate	NOUN
concept-2620	107	67	than	than	ADP
concept-2620	107	68	the	the	DET
concept-2620	107	69	default	default	NOUN
concept-2620	107	70	value	value	NOUN
concept-2620	107	71	in	in	ADP
concept-2620	107	72	order	order	NOUN
concept-2620	107	73	to	to	PART
concept-2620	107	74	give	give	VERB
concept-2620	107	75	more	more	ADJ
concept-2620	107	76	training	training	NOUN
concept-2620	107	77	time	time	NOUN
concept-2620	107	78	and	and	CCONJ
concept-2620	107	79	to	to	PART
concept-2620	107	80	better	well	ADV
concept-2620	107	81	converge	converge	VERB
concept-2620	107	82	to	to	ADP
concept-2620	107	83	the	the	DET
concept-2620	107	84	local	local	ADJ
concept-2620	107	85	minima	minima	PROPN
concept-2620	107	86	.	.	PUNCT
concept-2620	108	1	running	run	VERB
concept-2620	108	2	the	the	DET
concept-2620	108	3	model	model	NOUN
concept-2620	108	4	for	for	ADP
concept-2620	108	5	30	30	NUM
concept-2620	108	6	epochs	epoch	NOUN
concept-2620	108	7	proved	prove	VERB
concept-2620	108	8	to	to	PART
concept-2620	108	9	be	be	AUX
concept-2620	108	10	sufficient	sufficient	ADJ
concept-2620	108	11	since	since	SCONJ
concept-2620	108	12	the	the	DET
concept-2620	108	13	metrics	metric	NOUN
concept-2620	108	14	began	begin	VERB
concept-2620	108	15	to	to	PART
concept-2620	108	16	converge	converge	VERB
concept-2620	108	17	before	before	ADP
concept-2620	108	18	the	the	DET
concept-2620	108	19	30th	30th	ADJ
concept-2620	108	20	epoch	epoch	NOUN
concept-2620	108	21	.	.	PUNCT
concept-2620	109	1	a	a	DET
concept-2620	109	2	plot	plot	NOUN
concept-2620	109	3	of	of	ADP
concept-2620	109	4	the	the	DET
concept-2620	109	5	training	training	NOUN
concept-2620	109	6	and	and	CCONJ
concept-2620	109	7	validation	validation	NOUN
concept-2620	109	8	mae	mae	PROPN
concept-2620	109	9	can	can	AUX
concept-2620	109	10	be	be	AUX
concept-2620	109	11	seen	see	VERB
concept-2620	109	12	in	in	ADP
concept-2620	109	13	figure	figure	NOUN
concept-2620	109	14	8	8	NUM
concept-2620	109	15	.	.	PUNCT
concept-2620	110	1	the	the	DET
concept-2620	110	2	training	training	NOUN
concept-2620	110	3	mae	mae	PROPN
concept-2620	110	4	and	and	CCONJ
concept-2620	110	5	validation	validation	PROPN
concept-2620	110	6	mae	mae	PROPN
concept-2620	110	7	appear	appear	VERB
concept-2620	110	8	to	to	PART
concept-2620	110	9	converge	converge	VERB
concept-2620	110	10	,	,	PUNCT
concept-2620	110	11	and	and	CCONJ
concept-2620	110	12	the	the	DET
concept-2620	110	13	validation	validation	NOUN
concept-2620	110	14	mae	mae	PROPN
concept-2620	110	15	is	be	AUX
concept-2620	110	16	not	not	PART
concept-2620	110	17	consistently	consistently	ADV
concept-2620	110	18	higher	high	ADJ
concept-2620	110	19	or	or	CCONJ
concept-2620	110	20	lower	low	ADJ
concept-2620	110	21	than	than	ADP
concept-2620	110	22	the	the	DET
concept-2620	110	23	training	training	NOUN
concept-2620	110	24	mae	mae	PROPN
concept-2620	110	25	.	.	PUNCT
concept-2620	111	1	thus	thus	ADV
concept-2620	111	2	,	,	PUNCT
concept-2620	111	3	we	we	PRON
concept-2620	111	4	can	can	AUX
concept-2620	111	5	conclude	conclude	VERB
concept-2620	111	6	this	this	DET
concept-2620	111	7	model	model	NOUN
concept-2620	111	8	is	be	AUX
concept-2620	111	9	not	not	PART
concept-2620	111	10	underor	underor	NOUN
concept-2620	111	11	overfitting	overfitte	VERB
concept-2620	111	12	the	the	DET
concept-2620	111	13	data	datum	NOUN
concept-2620	111	14	.	.	PUNCT
concept-2620	112	1	after	after	ADP
concept-2620	112	2	running	run	VERB
concept-2620	112	3	the	the	DET
concept-2620	112	4	model	model	NOUN
concept-2620	112	5	,	,	PUNCT
concept-2620	112	6	the	the	DET
concept-2620	112	7	final	final	ADJ
concept-2620	112	8	validation	validation	NOUN
concept-2620	112	9	mae	mae	PROPN
concept-2620	112	10	was	be	AUX
concept-2620	112	11	20.96	20.96	NUM
concept-2620	112	12	months	month	NOUN
concept-2620	112	13	.	.	PUNCT
concept-2620	113	1	as	as	SCONJ
concept-2620	113	2	shown	show	VERB
concept-2620	113	3	in	in	ADP
concept-2620	113	4	appendix	appendix	NOUN
concept-2620	113	5	10	10	NUM
concept-2620	113	6	,	,	PUNCT
concept-2620	113	7	we	we	PRON
concept-2620	113	8	can	can	AUX
concept-2620	113	9	see	see	VERB
concept-2620	113	10	that	that	SCONJ
concept-2620	113	11	the	the	DET
concept-2620	113	12	model	model	NOUN
concept-2620	113	13	performance	performance	NOUN
concept-2620	113	14	is	be	AUX
concept-2620	113	15	much	much	ADV
concept-2620	113	16	better	well	ADJ
concept-2620	113	17	than	than	ADP
concept-2620	113	18	the	the	DET
concept-2620	113	19	previous	previous	ADJ
concept-2620	113	20	two	two	NUM
concept-2620	113	21	models	model	NOUN
concept-2620	113	22	discussed	discuss	VERB
concept-2620	113	23	,	,	PUNCT
concept-2620	113	24	and	and	CCONJ
concept-2620	113	25	the	the	DET
concept-2620	113	26	validation	validation	NOUN
concept-2620	113	27	mae	mae	PROPN
concept-2620	113	28	is	be	AUX
concept-2620	113	29	also	also	ADV
concept-2620	113	30	smaller	small	ADJ
concept-2620	113	31	.	.	PUNCT
concept-2620	114	1	figure	figure	NOUN
concept-2620	114	2	8	8	NUM
concept-2620	114	3	:	:	PUNCT
concept-2620	114	4	training	training	NOUN
concept-2620	114	5	and	and	CCONJ
concept-2620	114	6	validation	validation	NOUN
concept-2620	114	7	mae	mae	PROPN
concept-2620	114	8	on	on	ADP
concept-2620	114	9	model	model	NOUN
concept-2620	114	10	3	3	NUM
concept-2620	114	11	in	in	ADP
concept-2620	114	12	an	an	DET
concept-2620	114	13	attempt	attempt	NOUN
concept-2620	114	14	to	to	PART
concept-2620	114	15	improve	improve	VERB
concept-2620	114	16	the	the	DET
concept-2620	114	17	performance	performance	NOUN
concept-2620	114	18	of	of	ADP
concept-2620	114	19	the	the	DET
concept-2620	114	20	model	model	NOUN
concept-2620	114	21	,	,	PUNCT
concept-2620	114	22	neurons	neuron	NOUN
concept-2620	114	23	were	be	AUX
concept-2620	114	24	added	add	VERB
concept-2620	114	25	to	to	ADP
concept-2620	114	26	the	the	DET
concept-2620	114	27	last	last	ADJ
concept-2620	114	28	two	two	NUM
concept-2620	114	29	dense	dense	ADJ
concept-2620	114	30	layers	layer	NOUN
concept-2620	114	31	.	.	PUNCT
concept-2620	115	1	the	the	DET
concept-2620	115	2	number	number	NOUN
concept-2620	115	3	of	of	ADP
concept-2620	115	4	hidden	hide	VERB
concept-2620	115	5	neurons	neuron	NOUN
concept-2620	115	6	was	be	AUX
concept-2620	115	7	increased	increase	VERB
concept-2620	115	8	from	from	ADP
concept-2620	115	9	256	256	NUM
concept-2620	115	10	to	to	PART
concept-2620	115	11	500	500	NUM
concept-2620	115	12	.	.	PUNCT
concept-2620	116	1	there	there	PRON
concept-2620	116	2	was	be	VERB
concept-2620	116	3	a	a	DET
concept-2620	116	4	very	very	ADV
concept-2620	116	5	small	small	ADJ
concept-2620	116	6	increase	increase	NOUN
concept-2620	116	7	in	in	ADP
concept-2620	116	8	performance	performance	NOUN
concept-2620	116	9	,	,	PUNCT
concept-2620	116	10	but	but	CCONJ
concept-2620	116	11	not	not	PART
concept-2620	116	12	enough	enough	ADJ
concept-2620	116	13	to	to	PART
concept-2620	116	14	justify	justify	VERB
concept-2620	116	15	making	make	VERB
concept-2620	116	16	that	that	DET
concept-2620	116	17	change	change	NOUN
concept-2620	116	18	.	.	PUNCT
concept-2620	117	1	moreover	moreover	ADV
concept-2620	117	2	,	,	PUNCT
concept-2620	117	3	there	there	PRON
concept-2620	117	4	was	be	VERB
concept-2620	117	5	somewhat	somewhat	ADV
concept-2620	117	6	of	of	ADP
concept-2620	117	7	a	a	DET
concept-2620	117	8	bottleneck	bottleneck	NOUN
concept-2620	117	9	performance	performance	NOUN
concept-2620	117	10	.	.	PUNCT
concept-2620	118	1	therefore	therefore	ADV
concept-2620	118	2	,	,	PUNCT
concept-2620	118	3	we	we	PRON
concept-2620	118	4	conclude	conclude	VERB
concept-2620	118	5	our	our	PRON
concept-2620	118	6	final	final	ADJ
concept-2620	118	7	model	model	NOUN
concept-2620	118	8	to	to	PART
concept-2620	118	9	be	be	AUX
concept-2620	118	10	the	the	DET
concept-2620	118	11	one	one	NOUN
concept-2620	118	12	described	describe	VERB
concept-2620	118	13	above	above	ADP
concept-2620	118	14	and	and	CCONJ
concept-2620	118	15	in	in	ADP
concept-2620	118	16	figure	figure	NOUN
concept-2620	118	17	7	7	NUM
concept-2620	118	18	.	.	PUNCT
concept-2620	119	1	v.	v.	PROPN
concept-2620	119	2	results	result	VERB
concept-2620	119	3	the	the	DET
concept-2620	119	4	overall	overall	ADJ
concept-2620	119	5	results	result	NOUN
concept-2620	119	6	of	of	ADP
concept-2620	119	7	the	the	DET
concept-2620	119	8	validation	validation	NOUN
concept-2620	119	9	maes	maes	PROPN
concept-2620	119	10	for	for	ADP
concept-2620	119	11	the	the	DET
concept-2620	119	12	three	three	NUM
concept-2620	119	13	models	model	NOUN
concept-2620	119	14	discussed	discuss	VERB
concept-2620	119	15	are	be	AUX
concept-2620	119	16	listed	list	VERB
concept-2620	119	17	in	in	ADP
concept-2620	119	18	table	table	NOUN
concept-2620	119	19	2	2	NUM
concept-2620	119	20	.	.	PUNCT
concept-2620	120	1	the	the	DET
concept-2620	120	2	first	first	ADJ
concept-2620	120	3	cnn	cnn	PROPN
concept-2620	120	4	model	model	NOUN
concept-2620	120	5	using	use	VERB
concept-2620	120	6	only	only	ADV
concept-2620	120	7	the	the	DET
concept-2620	120	8	images	image	NOUN
concept-2620	120	9	as	as	ADP
concept-2620	120	10	input	input	NOUN
concept-2620	120	11	had	have	VERB
concept-2620	120	12	an	an	DET
concept-2620	120	13	mae	mae	PROPN
concept-2620	120	14	of	of	ADP
concept-2620	120	15	29.29	29.29	NUM
concept-2620	120	16	months	month	NOUN
concept-2620	120	17	on	on	ADP
concept-2620	120	18	the	the	DET
concept-2620	120	19	validation	validation	NOUN
concept-2620	120	20	set	set	NOUN
concept-2620	120	21	.	.	PUNCT
concept-2620	121	1	the	the	DET
concept-2620	121	2	second	second	ADJ
concept-2620	121	3	model	model	NOUN
concept-2620	121	4	using	use	VERB
concept-2620	121	5	the	the	DET
concept-2620	121	6	inceptionresnetv2	inceptionresnetv2	ADJ
concept-2620	121	7	transfer	transfer	NOUN
concept-2620	121	8	learning	learning	NOUN
concept-2620	121	9	model	model	NOUN
concept-2620	121	10	had	have	VERB
concept-2620	121	11	an	an	DET
concept-2620	121	12	mae	mae	PROPN
concept-2620	121	13	of	of	ADP
concept-2620	121	14	24.13	24.13	NUM
concept-2620	121	15	months	month	NOUN
concept-2620	121	16	on	on	ADP
concept-2620	121	17	the	the	DET
concept-2620	121	18	validation	validation	NOUN
concept-2620	121	19	set	set	NOUN
concept-2620	121	20	.	.	PUNCT
concept-2620	122	1	the	the	DET
concept-2620	122	2	third	third	ADJ
concept-2620	122	3	model	model	NOUN
concept-2620	122	4	with	with	ADP
concept-2620	122	5	multiple	multiple	ADJ
concept-2620	122	6	inputs	input	NOUN
concept-2620	122	7	where	where	SCONJ
concept-2620	122	8	the	the	DET
concept-2620	122	9	images	image	NOUN
concept-2620	122	10	were	be	AUX
concept-2620	122	11	passed	pass	VERB
concept-2620	122	12	through	through	ADP
concept-2620	122	13	a	a	DET
concept-2620	122	14	pre	pre	ADJ
concept-2620	122	15	-	-	ADJ
concept-2620	122	16	trained	train	VERB
concept-2620	122	17	model	model	NOUN
concept-2620	122	18	and	and	CCONJ
concept-2620	122	19	the	the	DET
concept-2620	122	20	gender	gender	NOUN
concept-2620	122	21	input	input	NOUN
concept-2620	122	22	was	be	AUX
concept-2620	122	23	passed	pass	VERB
concept-2620	122	24	through	through	ADP
concept-2620	122	25	a	a	DET
concept-2620	122	26	perceptron	perceptron	NOUN
concept-2620	122	27	and	and	CCONJ
concept-2620	122	28	then	then	ADV
concept-2620	122	29	concatenated	concatenate	VERB
concept-2620	122	30	gave	give	VERB
concept-2620	122	31	an	an	DET
concept-2620	122	32	mae	mae	PROPN
concept-2620	122	33	of	of	ADP
concept-2620	122	34	20.96	20.96	NUM
concept-2620	122	35	months	month	NOUN
concept-2620	122	36	on	on	ADP
concept-2620	122	37	the	the	DET
concept-2620	122	38	validation	validation	NOUN
concept-2620	122	39	set	set	NOUN
concept-2620	122	40	.	.	PUNCT
concept-2620	123	1	table	table	NOUN
concept-2620	123	2	2	2	NUM
concept-2620	123	3	:	:	PUNCT
concept-2620	123	4	performance	performance	NOUN
concept-2620	123	5	(	(	PUNCT
concept-2620	123	6	mae	mae	PROPN
concept-2620	123	7	)	)	PUNCT
concept-2620	123	8	of	of	ADP
concept-2620	123	9	all	all	DET
concept-2620	123	10	three	three	NUM
concept-2620	123	11	models	model	NOUN
concept-2620	123	12	to	to	PART
concept-2620	123	13	test	test	VERB
concept-2620	123	14	the	the	DET
concept-2620	123	15	model	model	NOUN
concept-2620	123	16	’s	’s	PART
concept-2620	123	17	accuracy	accuracy	NOUN
concept-2620	123	18	,	,	PUNCT
concept-2620	123	19	we	we	PRON
concept-2620	123	20	selected	select	VERB
concept-2620	123	21	the	the	DET
concept-2620	123	22	best	good	ADJ
concept-2620	123	23	model	model	NOUN
concept-2620	123	24	from	from	ADP
concept-2620	123	25	above	above	ADV
concept-2620	123	26	and	and	CCONJ
concept-2620	123	27	predicted	predict	VERB
concept-2620	123	28	the	the	DET
concept-2620	123	29	bone	bone	NOUN
concept-2620	123	30	age	age	NOUN
concept-2620	123	31	of	of	ADP
concept-2620	123	32	the	the	DET
concept-2620	123	33	200	200	NUM
concept-2620	123	34	test	test	NOUN
concept-2620	123	35	set	set	VERB
concept-2620	123	36	images	image	NOUN
concept-2620	123	37	provided	provide	VERB
concept-2620	123	38	by	by	ADP
concept-2620	123	39	kaggle	kaggle	PROPN
concept-2620	123	40	.	.	PUNCT
concept-2620	124	1	since	since	SCONJ
concept-2620	124	2	the	the	DET
concept-2620	124	3	last	last	ADJ
concept-2620	124	4	model	model	NOUN
concept-2620	124	5	,	,	PUNCT
concept-2620	124	6	consisting	consist	VERB
concept-2620	124	7	of	of	ADP
concept-2620	124	8	both	both	DET
concept-2620	124	9	x	x	NOUN
concept-2620	124	10	-	-	NOUN
concept-2620	124	11	ray	ray	NOUN
concept-2620	124	12	images	image	NOUN
concept-2620	124	13	and	and	CCONJ
concept-2620	124	14	gender	gender	NOUN
concept-2620	124	15	inputs	input	NOUN
concept-2620	124	16	,	,	PUNCT
concept-2620	124	17	gave	give	VERB
concept-2620	124	18	the	the	DET
concept-2620	124	19	best	good	ADJ
concept-2620	124	20	performance	performance	NOUN
concept-2620	124	21	compared	compare	VERB
concept-2620	124	22	to	to	ADP
concept-2620	124	23	the	the	DET
concept-2620	124	24	individual	individual	ADJ
concept-2620	124	25	models	model	NOUN
concept-2620	124	26	,	,	PUNCT
concept-2620	124	27	we	we	PRON
concept-2620	124	28	will	will	AUX
concept-2620	124	29	use	use	VERB
concept-2620	124	30	this	this	DET
concept-2620	124	31	model	model	NOUN
concept-2620	124	32	to	to	PART
concept-2620	124	33	do	do	VERB
concept-2620	124	34	predictions	prediction	NOUN
concept-2620	124	35	on	on	ADP
concept-2620	124	36	.	.	PUNCT
concept-2620	125	1	a	a	DET
concept-2620	125	2	graph	graph	NOUN
concept-2620	125	3	of	of	ADP
concept-2620	125	4	the	the	DET
concept-2620	125	5	predicted	predict	VERB
concept-2620	125	6	bone	bone	NOUN
concept-2620	125	7	ages	age	NOUN
concept-2620	125	8	vs.	vs.	ADP
concept-2620	125	9	the	the	DET
concept-2620	125	10	actual	actual	ADJ
concept-2620	125	11	bone	bone	NOUN
concept-2620	125	12	ages	age	NOUN
concept-2620	125	13	in	in	ADP
concept-2620	125	14	months	month	NOUN
concept-2620	125	15	can	can	AUX
concept-2620	125	16	be	be	AUX
concept-2620	125	17	seen	see	VERB
concept-2620	125	18	in	in	ADP
concept-2620	125	19	figure	figure	NOUN
concept-2620	125	20	9	9	NUM
concept-2620	125	21	.	.	PUNCT
concept-2620	126	1	the	the	DET
concept-2620	126	2	mae	mae	PROPN
concept-2620	126	3	on	on	ADP
concept-2620	126	4	the	the	DET
concept-2620	126	5	test	test	NOUN
concept-2620	126	6	set	set	VERB
concept-2620	126	7	using	use	VERB
concept-2620	126	8	our	our	PRON
concept-2620	126	9	combined	combined	ADJ
concept-2620	126	10	model	model	NOUN
concept-2620	126	11	was	be	AUX
concept-2620	126	12	approximately	approximately	ADV
concept-2620	126	13	42	42	NUM
concept-2620	126	14	months	month	NOUN
concept-2620	126	15	.	.	PUNCT
concept-2620	127	1	looking	look	VERB
concept-2620	127	2	at	at	ADP
concept-2620	127	3	the	the	DET
concept-2620	127	4	actual	actual	ADJ
concept-2620	127	5	values	value	NOUN
concept-2620	127	6	,	,	PUNCT
concept-2620	127	7	we	we	PRON
concept-2620	127	8	can	can	AUX
concept-2620	127	9	see	see	VERB
concept-2620	127	10	that	that	SCONJ
concept-2620	127	11	the	the	DET
concept-2620	127	12	model	model	NOUN
concept-2620	127	13	does	do	VERB
concept-2620	127	14	a	a	DET
concept-2620	127	15	better	well	ADJ
concept-2620	127	16	job	job	NOUN
concept-2620	127	17	at	at	ADP
concept-2620	127	18	predicting	predict	VERB
concept-2620	127	19	the	the	DET
concept-2620	127	20	bone	bone	NOUN
concept-2620	127	21	age	age	NOUN
concept-2620	127	22	for	for	ADP
concept-2620	127	23	children	child	NOUN
concept-2620	127	24	of	of	ADP
concept-2620	127	25	older	old	ADJ
concept-2620	127	26	age	age	NOUN
concept-2620	127	27	groups	group	NOUN
concept-2620	127	28	.	.	PUNCT
concept-2620	128	1	however	however	ADV
concept-2620	128	2	,	,	PUNCT
concept-2620	128	3	the	the	DET
concept-2620	128	4	model	model	NOUN
concept-2620	128	5	has	have	VERB
concept-2620	128	6	difficulty	difficulty	NOUN
concept-2620	128	7	predicting	predict	VERB
concept-2620	128	8	the	the	DET
concept-2620	128	9	bone	bone	NOUN
concept-2620	128	10	age	age	NOUN
concept-2620	128	11	for	for	ADP
concept-2620	128	12	children	child	NOUN
concept-2620	128	13	of	of	ADP
concept-2620	128	14	smaller	small	ADJ
concept-2620	128	15	age	age	NOUN
concept-2620	128	16	groups	group	NOUN
concept-2620	128	17	,	,	PUNCT
concept-2620	128	18	as	as	SCONJ
concept-2620	128	19	the	the	DET
concept-2620	128	20	predicted	predict	VERB
concept-2620	128	21	values	value	NOUN
concept-2620	128	22	are	be	AUX
concept-2620	128	23	much	much	ADV
concept-2620	128	24	more	more	ADV
concept-2620	128	25	deviated	deviate	VERB
concept-2620	128	26	from	from	ADP
concept-2620	128	27	the	the	DET
concept-2620	128	28	actual	actual	ADJ
concept-2620	128	29	line	line	NOUN
concept-2620	128	30	.	.	PUNCT
concept-2620	129	1	such	such	DET
concept-2620	129	2	an	an	DET
concept-2620	129	3	occurrence	occurrence	NOUN
concept-2620	129	4	is	be	AUX
concept-2620	129	5	possibly	possibly	ADV
concept-2620	129	6	due	due	ADJ
concept-2620	129	7	to	to	ADP
concept-2620	129	8	our	our	PRON
concept-2620	129	9	training	training	NOUN
concept-2620	129	10	set	set	NOUN
concept-2620	129	11	having	have	VERB
concept-2620	129	12	fewer	few	ADJ
concept-2620	129	13	images	image	NOUN
concept-2620	129	14	of	of	ADP
concept-2620	129	15	children	child	NOUN
concept-2620	129	16	in	in	ADP
concept-2620	129	17	that	that	DET
concept-2620	129	18	age	age	NOUN
concept-2620	129	19	group	group	NOUN
concept-2620	129	20	and	and	CCONJ
concept-2620	129	21	can	can	AUX
concept-2620	129	22	also	also	ADV
concept-2620	129	23	be	be	AUX
concept-2620	129	24	attributed	attribute	VERB
concept-2620	129	25	to	to	ADP
concept-2620	129	26	subsampling	subsample	VERB
concept-2620	129	27	the	the	DET
concept-2620	129	28	original	original	ADJ
concept-2620	129	29	dataset	dataset	NOUN
concept-2620	129	30	.	.	PUNCT
concept-2620	130	1	figure	figure	NOUN
concept-2620	130	2	9	9	NUM
concept-2620	130	3	:	:	PUNCT
concept-2620	130	4	actual	actual	ADJ
concept-2620	130	5	vs.	vs.	ADP
concept-2620	130	6	predicted	predict	VERB
concept-2620	130	7	values	value	NOUN
concept-2620	130	8	on	on	ADP
concept-2620	130	9	test	test	NOUN
concept-2620	130	10	set	set	VERB
concept-2620	130	11	for	for	ADP
concept-2620	130	12	model	model	NOUN
concept-2620	130	13	3	3	NUM
concept-2620	130	14	vi	vi	NOUN
concept-2620	130	15	.	.	PROPN
concept-2620	130	16	conclusion	conclusion	NOUN
concept-2620	130	17	,	,	PUNCT
concept-2620	130	18	limitations	limitation	NOUN
concept-2620	130	19	and	and	CCONJ
concept-2620	130	20	future	future	ADJ
concept-2620	130	21	work	work	NOUN
concept-2620	130	22	overall	overall	ADV
concept-2620	130	23	,	,	PUNCT
concept-2620	130	24	our	our	PRON
concept-2620	130	25	models	model	NOUN
concept-2620	130	26	have	have	VERB
concept-2620	130	27	room	room	NOUN
concept-2620	130	28	to	to	PART
concept-2620	130	29	improve	improve	VERB
concept-2620	130	30	,	,	PUNCT
concept-2620	130	31	especially	especially	ADV
concept-2620	130	32	when	when	SCONJ
concept-2620	130	33	compared	compare	VERB
concept-2620	130	34	to	to	ADP
concept-2620	130	35	the	the	DET
concept-2620	130	36	top	top	ADJ
concept-2620	130	37	models	model	NOUN
concept-2620	130	38	in	in	ADP
concept-2620	130	39	the	the	DET
concept-2620	130	40	kaggle	kaggle	ADJ
concept-2620	130	41	competition	competition	NOUN
concept-2620	130	42	.	.	PUNCT
concept-2620	131	1	our	our	PRON
concept-2620	131	2	best	good	ADJ
concept-2620	131	3	model	model	NOUN
concept-2620	131	4	,	,	PUNCT
concept-2620	131	5	model	model	NOUN
concept-2620	131	6	3	3	NUM
concept-2620	131	7	,	,	PUNCT
concept-2620	131	8	had	have	VERB
concept-2620	131	9	an	an	DET
concept-2620	131	10	mae	mae	PROPN
concept-2620	131	11	of	of	ADP
concept-2620	131	12	approximately	approximately	ADV
concept-2620	131	13	42	42	NUM
concept-2620	131	14	months	month	NOUN
concept-2620	131	15	.	.	PUNCT
concept-2620	132	1	this	this	PRON
concept-2620	132	2	would	would	AUX
concept-2620	132	3	equate	equate	VERB
concept-2620	132	4	to	to	ADP
concept-2620	132	5	about	about	ADP
concept-2620	132	6	3.5	3.5	NUM
concept-2620	132	7	years	year	NOUN
concept-2620	132	8	of	of	ADP
concept-2620	132	9	error	error	NOUN
concept-2620	132	10	within	within	ADP
concept-2620	132	11	our	our	PRON
concept-2620	132	12	predictions	prediction	NOUN
concept-2620	132	13	.	.	PUNCT
concept-2620	133	1	thus	thus	ADV
concept-2620	133	2	,	,	PUNCT
concept-2620	133	3	there	there	PRON
concept-2620	133	4	is	be	VERB
concept-2620	133	5	undoubtedly	undoubtedly	ADV
concept-2620	133	6	a	a	DET
concept-2620	133	7	lot	lot	NOUN
concept-2620	133	8	more	more	ADJ
concept-2620	133	9	work	work	NOUN
concept-2620	133	10	to	to	PART
concept-2620	133	11	be	be	AUX
concept-2620	133	12	done	do	VERB
concept-2620	133	13	with	with	ADP
concept-2620	133	14	this	this	DET
concept-2620	133	15	model	model	NOUN
concept-2620	133	16	to	to	PART
concept-2620	133	17	have	have	VERB
concept-2620	133	18	an	an	DET
concept-2620	133	19	acceptable	acceptable	ADJ
concept-2620	133	20	prediction	prediction	NOUN
concept-2620	133	21	to	to	PART
concept-2620	133	22	use	use	VERB
concept-2620	133	23	in	in	ADP
concept-2620	133	24	the	the	DET
concept-2620	133	25	medical	medical	ADJ
concept-2620	133	26	field	field	NOUN
concept-2620	133	27	.	.	PUNCT
concept-2620	134	1	the	the	DET
concept-2620	134	2	main	main	ADJ
concept-2620	134	3	limitation	limitation	NOUN
concept-2620	134	4	incurred	incur	VERB
concept-2620	134	5	was	be	AUX
concept-2620	134	6	limited	limited	ADJ
concept-2620	134	7	processing	processing	NOUN
concept-2620	134	8	power	power	NOUN
concept-2620	134	9	,	,	PUNCT
concept-2620	134	10	causing	cause	VERB
concept-2620	134	11	the	the	DET
concept-2620	134	12	programs	program	NOUN
concept-2620	134	13	to	to	PART
concept-2620	134	14	crash	crash	VERB
concept-2620	134	15	or	or	CCONJ
concept-2620	134	16	to	to	PART
concept-2620	134	17	have	have	VERB
concept-2620	134	18	significant	significant	ADJ
concept-2620	134	19	run	run	NOUN
concept-2620	134	20	times	time	NOUN
concept-2620	134	21	.	.	PUNCT
concept-2620	135	1	due	due	ADP
concept-2620	135	2	to	to	ADP
concept-2620	135	3	this	this	DET
concept-2620	135	4	limitation	limitation	NOUN
concept-2620	135	5	,	,	PUNCT
concept-2620	135	6	the	the	DET
concept-2620	135	7	training	training	NOUN
concept-2620	135	8	set	set	NOUN
concept-2620	135	9	had	have	VERB
concept-2620	135	10	to	to	PART
concept-2620	135	11	be	be	AUX
concept-2620	135	12	cut	cut	VERB
concept-2620	135	13	from	from	ADP
concept-2620	135	14	12,611	12,611	NUM
concept-2620	135	15	images	image	NOUN
concept-2620	135	16	to	to	ADP
concept-2620	135	17	only	only	ADV
concept-2620	135	18	4,500	4,500	NUM
concept-2620	135	19	images	image	NOUN
concept-2620	135	20	before	before	ADP
concept-2620	135	21	splitting	split	VERB
concept-2620	135	22	for	for	ADP
concept-2620	135	23	validation	validation	NOUN
concept-2620	135	24	.	.	PUNCT
concept-2620	136	1	it	it	PRON
concept-2620	136	2	is	be	AUX
concept-2620	136	3	expected	expect	VERB
concept-2620	136	4	that	that	SCONJ
concept-2620	136	5	this	this	PRON
concept-2620	136	6	took	take	VERB
concept-2620	136	7	a	a	DET
concept-2620	136	8	significant	significant	ADJ
concept-2620	136	9	toll	toll	NOUN
concept-2620	136	10	on	on	ADP
concept-2620	136	11	the	the	DET
concept-2620	136	12	mae	mae	PROPN
concept-2620	136	13	for	for	ADP
concept-2620	136	14	all	all	PRON
concept-2620	136	15	of	of	ADP
concept-2620	136	16	the	the	DET
concept-2620	136	17	models	model	NOUN
concept-2620	136	18	.	.	PUNCT
concept-2620	137	1	additionally	additionally	ADV
concept-2620	137	2	,	,	PUNCT
concept-2620	137	3	it	it	PRON
concept-2620	137	4	was	be	AUX
concept-2620	137	5	very	very	ADV
concept-2620	137	6	difficult	difficult	ADJ
concept-2620	137	7	to	to	PART
concept-2620	137	8	have	have	VERB
concept-2620	137	9	larger	large	ADJ
concept-2620	137	10	input	input	NOUN
concept-2620	137	11	images	image	NOUN
concept-2620	137	12	in	in	ADP
concept-2620	137	13	terms	term	NOUN
concept-2620	137	14	of	of	ADP
concept-2620	137	15	pixels	pixel	NOUN
concept-2620	137	16	due	due	ADJ
concept-2620	137	17	to	to	ADP
concept-2620	137	18	processing	processing	NOUN
concept-2620	137	19	time	time	NOUN
concept-2620	137	20	and	and	CCONJ
concept-2620	137	21	code	code	NOUN
concept-2620	137	22	crashes	crash	NOUN
concept-2620	137	23	.	.	PUNCT
concept-2620	138	1	an	an	DET
concept-2620	138	2	additional	additional	ADJ
concept-2620	138	3	limitation	limitation	NOUN
concept-2620	138	4	was	be	AUX
concept-2620	138	5	the	the	DET
concept-2620	138	6	nature	nature	NOUN
concept-2620	138	7	of	of	ADP
concept-2620	138	8	the	the	DET
concept-2620	138	9	images	image	NOUN
concept-2620	138	10	.	.	PUNCT
concept-2620	139	1	as	as	SCONJ
concept-2620	139	2	discussed	discuss	VERB
concept-2620	139	3	in	in	ADP
concept-2620	139	4	the	the	DET
concept-2620	139	5	data	data	NOUN
concept-2620	139	6	section	section	NOUN
concept-2620	139	7	,	,	PUNCT
concept-2620	139	8	most	most	ADJ
concept-2620	139	9	images	image	NOUN
concept-2620	139	10	have	have	VERB
concept-2620	139	11	excess	excess	ADJ
concept-2620	139	12	text	text	NOUN
concept-2620	139	13	in	in	ADP
concept-2620	139	14	as	as	ADV
concept-2620	139	15	well	well	ADV
concept-2620	139	16	as	as	ADP
concept-2620	139	17	some	some	DET
concept-2620	139	18	lighting	lighting	NOUN
concept-2620	139	19	,	,	PUNCT
concept-2620	139	20	shape	shape	NOUN
concept-2620	139	21	,	,	PUNCT
concept-2620	139	22	and	and	CCONJ
concept-2620	139	23	background	background	NOUN
concept-2620	139	24	inconsistencies	inconsistency	NOUN
concept-2620	139	25	.	.	PUNCT
concept-2620	140	1	these	these	DET
concept-2620	140	2	issues	issue	NOUN
concept-2620	140	3	made	make	VERB
concept-2620	140	4	it	it	PRON
concept-2620	140	5	much	much	ADV
concept-2620	140	6	more	more	ADV
concept-2620	140	7	difficult	difficult	ADJ
concept-2620	140	8	to	to	PART
concept-2620	140	9	fit	fit	VERB
concept-2620	140	10	a	a	DET
concept-2620	140	11	model	model	NOUN
concept-2620	140	12	that	that	PRON
concept-2620	140	13	can	can	AUX
concept-2620	140	14	account	account	VERB
concept-2620	140	15	for	for	ADP
concept-2620	140	16	all	all	PRON
concept-2620	140	17	of	of	ADP
concept-2620	140	18	these	these	DET
concept-2620	140	19	situations	situation	NOUN
concept-2620	140	20	.	.	PUNCT
concept-2620	141	1	in	in	ADP
concept-2620	141	2	the	the	DET
concept-2620	141	3	future	future	NOUN
concept-2620	141	4	,	,	PUNCT
concept-2620	141	5	it	it	PRON
concept-2620	141	6	would	would	AUX
concept-2620	141	7	be	be	AUX
concept-2620	141	8	beneficial	beneficial	ADJ
concept-2620	141	9	to	to	PART
concept-2620	141	10	address	address	VERB
concept-2620	141	11	these	these	DET
concept-2620	141	12	limitations	limitation	NOUN
concept-2620	141	13	as	as	ADV
concept-2620	141	14	well	well	ADV
concept-2620	141	15	as	as	ADP
concept-2620	141	16	fine	fine	ADJ
concept-2620	141	17	tune	tune	NOUN
concept-2620	141	18	the	the	DET
concept-2620	141	19	models	model	NOUN
concept-2620	141	20	and	and	CCONJ
concept-2620	141	21	hyperparameters	hyperparameter	NOUN
concept-2620	141	22	.	.	PUNCT
concept-2620	142	1	if	if	SCONJ
concept-2620	142	2	the	the	DET
concept-2620	142	3	processing	processing	NOUN
concept-2620	142	4	power	power	NOUN
concept-2620	142	5	were	be	AUX
concept-2620	142	6	to	to	PART
concept-2620	142	7	be	be	AUX
concept-2620	142	8	increased	increase	VERB
concept-2620	142	9	enough	enough	ADV
concept-2620	142	10	to	to	ADP
concept-2620	142	11	where	where	SCONJ
concept-2620	142	12	all	all	PRON
concept-2620	142	13	of	of	ADP
concept-2620	142	14	the	the	DET
concept-2620	142	15	training	training	NOUN
concept-2620	142	16	data	datum	NOUN
concept-2620	142	17	could	could	AUX
concept-2620	142	18	be	be	AUX
concept-2620	142	19	included	include	VERB
concept-2620	142	20	in	in	ADP
concept-2620	142	21	the	the	DET
concept-2620	142	22	fitting	fitting	NOUN
concept-2620	142	23	of	of	ADP
concept-2620	142	24	the	the	DET
concept-2620	142	25	model	model	NOUN
concept-2620	142	26	,	,	PUNCT
concept-2620	142	27	it	it	PRON
concept-2620	142	28	is	be	AUX
concept-2620	142	29	likely	likely	ADJ
concept-2620	142	30	that	that	SCONJ
concept-2620	142	31	the	the	DET
concept-2620	142	32	performance	performance	NOUN
concept-2620	142	33	will	will	AUX
concept-2620	142	34	increase	increase	VERB
concept-2620	142	35	greatly	greatly	ADV
concept-2620	142	36	.	.	PUNCT
concept-2620	143	1	increasing	increase	VERB
concept-2620	143	2	processing	processing	NOUN
concept-2620	143	3	power	power	NOUN
concept-2620	143	4	also	also	ADV
concept-2620	143	5	will	will	AUX
concept-2620	143	6	allow	allow	VERB
concept-2620	143	7	for	for	ADP
concept-2620	143	8	larger	large	ADJ
concept-2620	143	9	inputs	input	NOUN
concept-2620	143	10	and	and	CCONJ
concept-2620	143	11	more	more	ADV
concept-2620	143	12	dense	dense	ADJ
concept-2620	143	13	layers	layer	NOUN
concept-2620	143	14	,	,	PUNCT
concept-2620	143	15	which	which	PRON
concept-2620	143	16	would	would	AUX
concept-2620	143	17	also	also	ADV
concept-2620	143	18	likely	likely	ADV
concept-2620	143	19	boost	boost	VERB
concept-2620	143	20	performance	performance	NOUN
concept-2620	143	21	.	.	PUNCT
concept-2620	144	1	it	it	PRON
concept-2620	144	2	would	would	AUX
concept-2620	144	3	specifically	specifically	ADV
concept-2620	144	4	be	be	AUX
concept-2620	144	5	interesting	interesting	ADJ
concept-2620	144	6	to	to	PART
concept-2620	144	7	test	test	VERB
concept-2620	144	8	our	our	PRON
concept-2620	144	9	model	model	NOUN
concept-2620	144	10	3	3	NUM
concept-2620	144	11	with	with	ADP
concept-2620	144	12	500x500	500x500	NUM
concept-2620	144	13	input	input	NOUN
concept-2620	144	14	and	and	CCONJ
concept-2620	144	15	two	two	NUM
concept-2620	144	16	1000neuron	1000neuron	NUM
concept-2620	144	17	dense	dense	ADJ
concept-2620	144	18	layers	layer	NOUN
concept-2620	144	19	at	at	ADP
concept-2620	144	20	the	the	DET
concept-2620	144	21	end	end	NOUN
concept-2620	144	22	,	,	PUNCT
concept-2620	144	23	as	as	ADP
concept-2620	144	24	in	in	ADP
concept-2620	144	25	the	the	DET
concept-2620	144	26	first	first	ADJ
concept-2620	144	27	kaggle	kaggle	NOUN
concept-2620	144	28	model	model	NOUN
concept-2620	144	29	.	.	PUNCT
concept-2620	145	1	this	this	PRON
concept-2620	145	2	would	would	AUX
concept-2620	145	3	allow	allow	VERB
concept-2620	145	4	for	for	ADP
concept-2620	145	5	a	a	DET
concept-2620	145	6	better	well	ADJ
concept-2620	145	7	comparison	comparison	NOUN
concept-2620	145	8	,	,	PUNCT
concept-2620	145	9	and	and	CCONJ
concept-2620	145	10	it	it	PRON
concept-2620	145	11	is	be	AUX
concept-2620	145	12	possible	possible	ADJ
concept-2620	145	13	our	our	PRON
concept-2620	145	14	model	model	NOUN
concept-2620	145	15	would	would	AUX
concept-2620	145	16	outperform	outperform	VERB
concept-2620	145	17	the	the	DET
concept-2620	145	18	kaggle	kaggle	ADJ
concept-2620	145	19	model	model	NOUN
concept-2620	145	20	due	due	ADP
concept-2620	145	21	to	to	ADP
concept-2620	145	22	the	the	DET
concept-2620	145	23	higher	high	ADJ
concept-2620	145	24	accuracy	accuracy	NOUN
concept-2620	145	25	,	,	PUNCT
concept-2620	145	26	in	in	ADP
concept-2620	145	27	terms	term	NOUN
concept-2620	145	28	of	of	ADP
concept-2620	145	29	top-1	top-1	DET
concept-2620	145	30	accuracy	accuracy	NOUN
concept-2620	145	31	,	,	PUNCT
concept-2620	145	32	that	that	PRON
concept-2620	145	33	inceptionresnetv2	inceptionresnetv2	NOUN
concept-2620	145	34	has	have	VERB
concept-2620	145	35	over	over	ADP
concept-2620	145	36	inceptionv3	inceptionv3	NOUN
concept-2620	145	37	.	.	PUNCT
concept-2620	146	1	almost	almost	ADV
concept-2620	146	2	all	all	PRON
concept-2620	146	3	of	of	ADP
concept-2620	146	4	the	the	DET
concept-2620	146	5	kaggle	kaggle	ADJ
concept-2620	146	6	submissions	submission	NOUN
concept-2620	146	7	suggest	suggest	VERB
concept-2620	146	8	data	datum	NOUN
concept-2620	146	9	augmentation	augmentation	NOUN
concept-2620	146	10	as	as	ADP
concept-2620	146	11	an	an	DET
concept-2620	146	12	imperative	imperative	ADJ
concept-2620	146	13	step	step	NOUN
concept-2620	146	14	to	to	ADP
concept-2620	146	15	fitting	fit	VERB
concept-2620	146	16	the	the	DET
concept-2620	146	17	model	model	NOUN
concept-2620	146	18	.	.	PUNCT
concept-2620	147	1	more	more	ADJ
concept-2620	147	2	work	work	NOUN
concept-2620	147	3	should	should	AUX
concept-2620	147	4	be	be	AUX
concept-2620	147	5	done	do	VERB
concept-2620	147	6	to	to	PART
concept-2620	147	7	address	address	VERB
concept-2620	147	8	the	the	DET
concept-2620	147	9	image	image	NOUN
concept-2620	147	10	inconsistencies	inconsistency	NOUN
concept-2620	147	11	and	and	CCONJ
concept-2620	147	12	attempt	attempt	VERB
concept-2620	147	13	to	to	PART
concept-2620	147	14	augment	augment	VERB
concept-2620	147	15	the	the	DET
concept-2620	147	16	data	datum	NOUN
concept-2620	147	17	in	in	ADP
concept-2620	147	18	a	a	DET
concept-2620	147	19	more	more	ADV
concept-2620	147	20	useful	useful	ADJ
concept-2620	147	21	way	way	NOUN
concept-2620	147	22	.	.	PUNCT
concept-2620	148	1	one	one	NUM
concept-2620	148	2	approach	approach	NOUN
concept-2620	148	3	in	in	ADP
concept-2620	148	4	the	the	DET
concept-2620	148	5	kaggle	kaggle	ADJ
concept-2620	148	6	submissions	submission	NOUN
concept-2620	148	7	was	be	AUX
concept-2620	148	8	to	to	PART
concept-2620	148	9	remove	remove	VERB
concept-2620	148	10	the	the	DET
concept-2620	148	11	background	background	NOUN
concept-2620	148	12	off	off	ADP
concept-2620	148	13	all	all	DET
concept-2620	148	14	the	the	DET
concept-2620	148	15	x	x	NOUN
concept-2620	148	16	-	-	NOUN
concept-2620	148	17	ray	ray	NOUN
concept-2620	148	18	images	image	NOUN
concept-2620	148	19	leaving	leave	VERB
concept-2620	148	20	just	just	ADV
concept-2620	148	21	the	the	DET
concept-2620	148	22	hand	hand	NOUN
concept-2620	148	23	behind	behind	ADV
concept-2620	148	24	.	.	PUNCT
concept-2620	149	1	they	they	PRON
concept-2620	149	2	then	then	ADV
concept-2620	149	3	overlay	overlay	VERB
concept-2620	149	4	the	the	DET
concept-2620	149	5	image	image	NOUN
concept-2620	149	6	on	on	ADP
concept-2620	149	7	top	top	NOUN
concept-2620	149	8	of	of	ADP
concept-2620	149	9	a	a	DET
concept-2620	149	10	solid	solid	ADJ
concept-2620	149	11	black	black	ADJ
concept-2620	149	12	background	background	NOUN
concept-2620	149	13	to	to	PART
concept-2620	149	14	guarantee	guarantee	VERB
concept-2620	149	15	all	all	PRON
concept-2620	149	16	of	of	ADP
concept-2620	149	17	the	the	DET
concept-2620	149	18	backgrounds	background	NOUN
concept-2620	149	19	are	be	AUX
concept-2620	149	20	the	the	DET
concept-2620	149	21	same	same	ADJ
concept-2620	149	22	and	and	CCONJ
concept-2620	149	23	to	to	PART
concept-2620	149	24	remove	remove	VERB
concept-2620	149	25	some	some	PRON
concept-2620	149	26	of	of	ADP
concept-2620	149	27	the	the	DET
concept-2620	149	28	error	error	NOUN
concept-2620	149	29	.	.	PUNCT
concept-2620	150	1	another	another	DET
concept-2620	150	2	useful	useful	ADJ
concept-2620	150	3	technique	technique	NOUN
concept-2620	150	4	that	that	PRON
concept-2620	150	5	almost	almost	ADV
concept-2620	150	6	all	all	PRON
concept-2620	150	7	of	of	ADP
concept-2620	150	8	the	the	DET
concept-2620	150	9	kaggle	kaggle	ADJ
concept-2620	150	10	submissions	submission	NOUN
concept-2620	150	11	implemented	implement	VERB
concept-2620	150	12	was	be	AUX
concept-2620	150	13	ensemble	ensemble	ADJ
concept-2620	150	14	methods	method	NOUN
concept-2620	150	15	,	,	PUNCT
concept-2620	150	16	which	which	PRON
concept-2620	150	17	would	would	AUX
concept-2620	150	18	also	also	ADV
concept-2620	150	19	likely	likely	ADV
concept-2620	150	20	be	be	AUX
concept-2620	150	21	useful	useful	ADJ
concept-2620	150	22	to	to	PART
concept-2620	150	23	decrease	decrease	VERB
concept-2620	150	24	our	our	PRON
concept-2620	150	25	overall	overall	ADJ
concept-2620	150	26	error	error	NOUN
concept-2620	150	27	.	.	PUNCT
concept-2620	151	1	to	to	PART
concept-2620	151	2	conclude	conclude	VERB
concept-2620	151	3	,	,	PUNCT
concept-2620	151	4	there	there	PRON
concept-2620	151	5	are	be	VERB
concept-2620	151	6	quite	quite	DET
concept-2620	151	7	a	a	DET
concept-2620	151	8	few	few	ADJ
concept-2620	151	9	ways	way	NOUN
concept-2620	151	10	in	in	ADP
concept-2620	151	11	which	which	PRON
concept-2620	151	12	the	the	DET
concept-2620	151	13	models	model	NOUN
concept-2620	151	14	can	can	AUX
concept-2620	151	15	be	be	AUX
concept-2620	151	16	improved	improve	VERB
concept-2620	151	17	.	.	PUNCT
concept-2620	152	1	addressing	address	VERB
concept-2620	152	2	the	the	DET
concept-2620	152	3	issues	issue	NOUN
concept-2620	152	4	and	and	CCONJ
concept-2620	152	5	implementing	implement	VERB
concept-2620	152	6	some	some	DET
concept-2620	152	7	new	new	ADJ
concept-2620	152	8	methods	method	NOUN
concept-2620	152	9	as	as	ADV
concept-2620	152	10	well	well	ADV
concept-2620	152	11	as	as	ADP
concept-2620	152	12	increasing	increase	VERB
concept-2620	152	13	our	our	PRON
concept-2620	152	14	training	training	NOUN
concept-2620	152	15	size	size	NOUN
concept-2620	152	16	is	be	AUX
concept-2620	152	17	expected	expect	VERB
concept-2620	152	18	to	to	PART
concept-2620	152	19	put	put	VERB
concept-2620	152	20	our	our	PRON
concept-2620	152	21	model	model	NOUN
concept-2620	152	22	performance	performance	NOUN
concept-2620	152	23	in	in	ADP
concept-2620	152	24	competition	competition	NOUN
concept-2620	152	25	with	with	ADP
concept-2620	152	26	some	some	PRON
concept-2620	152	27	of	of	ADP
concept-2620	152	28	the	the	DET
concept-2620	152	29	other	other	ADJ
concept-2620	152	30	models	model	NOUN
concept-2620	152	31	that	that	PRON
concept-2620	152	32	were	be	AUX
concept-2620	152	33	researched	research	VERB
concept-2620	152	34	.	.	PUNCT
concept-2620	153	1	acknowledgements	acknowledgement	NOUN
concept-2620	153	2	i	i	PRON
concept-2620	153	3	would	would	AUX
concept-2620	153	4	like	like	VERB
concept-2620	153	5	to	to	PART
concept-2620	153	6	acknowledge	acknowledge	VERB
concept-2620	153	7	kim	kim	PROPN
concept-2620	153	8	bianchi	bianchi	PROPN
concept-2620	153	9	and	and	CCONJ
concept-2620	153	10	katie	katie	PROPN
concept-2620	153	11	schmidt	schmidt	PROPN
concept-2620	153	12	for	for	ADP
concept-2620	153	13	helping	help	VERB
concept-2620	153	14	me	i	PRON
concept-2620	153	15	with	with	ADP
concept-2620	153	16	the	the	DET
concept-2620	153	17	findings	finding	NOUN
concept-2620	153	18	of	of	ADP
concept-2620	153	19	this	this	DET
concept-2620	153	20	paper	paper	NOUN
concept-2620	153	21	.	.	PUNCT
concept-2620	154	1	additionally	additionally	ADV
concept-2620	154	2	,	,	PUNCT
concept-2620	154	3	i	i	PRON
concept-2620	154	4	would	would	AUX
concept-2620	154	5	also	also	ADV
concept-2620	154	6	like	like	VERB
concept-2620	154	7	to	to	PART
concept-2620	154	8	recognize	recognize	VERB
concept-2620	154	9	dr	dr	PROPN
concept-2620	154	10	.	.	PROPN
concept-2620	154	11	yimin	yimin	PROPN
concept-2620	154	12	zhang	zhang	PROPN
concept-2620	154	13	for	for	ADP
concept-2620	154	14	providing	provide	VERB
concept-2620	154	15	insights	insight	NOUN
concept-2620	154	16	and	and	CCONJ
concept-2620	154	17	guidance	guidance	NOUN
concept-2620	154	18	through	through	ADP
concept-2620	154	19	her	her	PRON
concept-2620	154	20	past	past	ADJ
concept-2620	154	21	experiences	experience	NOUN
concept-2620	154	22	in	in	ADP
concept-2620	154	23	this	this	DET
concept-2620	154	24	field	field	NOUN
concept-2620	154	25	of	of	ADP
concept-2620	154	26	study	study	NOUN
concept-2620	154	27	.	.	PUNCT
concept-2620	155	1	references	reference	NOUN
concept-2620	155	2	kidshealth.org	kidshealth.org	X
concept-2620	155	3	.	.	PUNCT
concept-2620	155	4	(	(	PUNCT
concept-2620	155	5	2020	2020	NUM
concept-2620	155	6	)	)	PUNCT
concept-2620	155	7	.	.	PUNCT
concept-2620	156	1	x	x	X
concept-2620	156	2	-	-	PUNCT
concept-2620	156	3	ray	ray	NOUN
concept-2620	156	4	exam	exam	NOUN
concept-2620	156	5	:	:	PUNCT
concept-2620	156	6	bone	bone	NOUN
concept-2620	156	7	age	age	NOUN
concept-2620	156	8	study	study	NOUN
concept-2620	156	9	(	(	PUNCT
concept-2620	156	10	for	for	ADP
concept-2620	156	11	parents	parent	NOUN
concept-2620	156	12	)	)	PUNCT
concept-2620	156	13	nemours	nemour	VERB
concept-2620	156	14	kidshealth	kidshealth	NOUN
concept-2620	156	15	.	.	PUNCT
concept-2620	157	1	[	[	X
concept-2620	157	2	online	online	X
concept-2620	157	3	]	]	X
concept-2620	157	4	available	available	ADJ
concept-2620	157	5	at	at	ADP
concept-2620	157	6	:	:	PUNCT
concept-2620	157	7	https://kidshealth.org/en/parents/xray-bone-age.html	https://kidshealth.org/en/parents/xray-bone-age.html	PROPN
concept-2620	157	8	.	.	PUNCT
concept-2620	158	1	creo	creo	PROPN
concept-2620	158	2	,	,	PUNCT
concept-2620	158	3	a.l	a.l	PROPN
concept-2620	158	4	.	.	PROPN
concept-2620	158	5	and	and	CCONJ
concept-2620	158	6	schwenk	schwenk	ADV
concept-2620	158	7	,	,	PUNCT
concept-2620	158	8	w.f	w.f	PROPN
concept-2620	158	9	.	.	PROPN
concept-2620	158	10	(	(	PUNCT
concept-2620	158	11	2017	2017	NUM
concept-2620	158	12	)	)	PUNCT
concept-2620	158	13	.	.	PUNCT
concept-2620	159	1	bone	bone	NOUN
concept-2620	159	2	age	age	NOUN
concept-2620	159	3	:	:	PUNCT
concept-2620	159	4	a	a	DET
concept-2620	159	5	handy	handy	ADJ
concept-2620	159	6	tool	tool	NOUN
concept-2620	159	7	for	for	ADP
concept-2620	159	8	pediatric	pediatric	ADJ
concept-2620	159	9	providers	provider	NOUN
concept-2620	159	10	.	.	PUNCT
concept-2620	160	1	pediatrics	pediatric	NOUN
concept-2620	160	2	,	,	PUNCT
concept-2620	160	3	140(6	140(6	NUM
concept-2620	160	4	)	)	PUNCT
concept-2620	160	5	,	,	PUNCT
concept-2620	160	6	p.e20171486	p.e20171486	NOUN
concept-2620	160	7	.	.	PUNCT
concept-2620	161	1	h.h	h.h	PROPN
concept-2620	161	2	.	.	PROPN
concept-2620	161	3	,	,	PUNCT
concept-2620	161	4	chen	chen	PROPN
concept-2620	161	5	,	,	PUNCT
concept-2620	161	6	l.	l.	PROPN
concept-2620	161	7	,	,	PUNCT
concept-2620	161	8	shih	shih	PROPN
concept-2620	161	9	,	,	PUNCT
concept-2620	161	10	g.	g.	PROPN
concept-2620	161	11	,	,	PUNCT
concept-2620	161	12	andriole	andriole	NOUN
concept-2620	161	13	,	,	PUNCT
concept-2620	161	14	k.	k.	PROPN
concept-2620	161	15	,	,	PUNCT
concept-2620	161	16	kohli	kohli	PROPN
concept-2620	161	17	,	,	PUNCT
concept-2620	161	18	m.d	m.d	PROPN
concept-2620	161	19	.	.	PROPN
concept-2620	161	20	,	,	PUNCT
concept-2620	161	21	erickson	erickson	PROPN
concept-2620	161	22	,	,	PUNCT
concept-2620	161	23	b.j	b.j	PROPN
concept-2620	161	24	.	.	PROPN
concept-2620	161	25	and	and	CCONJ
concept-2620	161	26	flanders	flanders	PROPN
concept-2620	161	27	,	,	PUNCT
concept-2620	161	28	a.e	a.e	PROPN
concept-2620	161	29	.	.	PROPN
concept-2620	161	30	(	(	PUNCT
concept-2620	161	31	2019	2019	NUM
concept-2620	161	32	)	)	PUNCT
concept-2620	161	33	.	.	PUNCT
concept-2620	162	1	the	the	DET
concept-2620	162	2	rsna	rsna	NOUN
concept-2620	162	3	pediatric	pediatric	ADJ
concept-2620	162	4	bone	bone	NOUN
concept-2620	162	5	age	age	NOUN
concept-2620	162	6	machine	machine	NOUN
concept-2620	162	7	learning	learning	NOUN
concept-2620	162	8	challenge	challenge	NOUN
concept-2620	162	9	.	.	PUNCT
concept-2620	163	1	radiology	radiology	NOUN
concept-2620	163	2	,	,	PUNCT
concept-2620	163	3	290(2	290(2	NUM
concept-2620	163	4	)	)	PUNCT
concept-2620	163	5	,	,	PUNCT
concept-2620	163	6	pp.498–503	pp.498–503	NOUN
concept-2620	163	7	.	.	PUNCT
concept-2620	164	1	kaggle.com	kaggle.com	X
concept-2620	164	2	.	.	PUNCT
concept-2620	164	3	(	(	PUNCT
concept-2620	164	4	n.d	n.d	PROPN
concept-2620	164	5	.	.	PROPN
concept-2620	164	6	)	)	PUNCT
concept-2620	164	7	.	.	PUNCT
concept-2620	165	1	rsna	rsna	NOUN
concept-2620	165	2	bone	bone	NOUN
concept-2620	165	3	age	age	NOUN
concept-2620	165	4	.	.	PUNCT
concept-2620	166	1	[	[	X
concept-2620	166	2	online	online	X
concept-2620	166	3	]	]	X
concept-2620	166	4	available	available	ADJ
concept-2620	166	5	at	at	ADP
concept-2620	166	6	:	:	PUNCT
concept-2620	166	7	https://www.kaggle.com/kmader/rsna-bone-age	https://www.kaggle.com/kmader/rsna-bone-age	NOUN
concept-2620	166	8	.	.	PUNCT