{"id":"https://openalex.org/W3207383503","doi":"https://doi.org/10.1109/igarss47720.2021.9554959","title":"Urban Residential Land Price Assessment Based on Transfer Learning","display_name":"Urban Residential Land Price Assessment Based on Transfer Learning","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207383503","doi":"https://doi.org/10.1109/igarss47720.2021.9554959","mag":"3207383503"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084364940","display_name":"Weishi Jin","orcid":"https://orcid.org/0000-0001-8475-2979"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weishi Jin","raw_affiliation_strings":["Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen, Guangdong","School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen, Guangdong","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048589278","display_name":"Mingcang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135981","display_name":"Louisiana Department of Natural Resources","ror":"https://ror.org/03n7hja66","country_code":"US","type":"government","lineage":["https://openalex.org/I4210135981"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingcang Zhu","raw_affiliation_strings":["Department of Natural Resources of Sichuan Province,Chengdu,Sichuan,PRC 610072"],"affiliations":[{"raw_affiliation_string":"Department of Natural Resources of Sichuan Province,Chengdu,Sichuan,PRC 610072","institution_ids":["https://openalex.org/I4210135981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342968","display_name":"Yong He","orcid":"https://orcid.org/0000-0001-6752-1757"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["Sichuan Research Institute for Eco-System Restoration & Geo-Hazard Prevention, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"Sichuan Research Institute for Eco-System Restoration & Geo-Hazard Prevention, Chengdu, Sichuan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428185","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-8585-9073"},"institutions":[{"id":"https://openalex.org/I4210095565","display_name":"Health and Family Planning Commission of Sichuan Province","ror":"https://ror.org/00kx6j950","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210095565"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Chengdu Land Planning and Cadastre Center, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"Chengdu Land Planning and Cadastre Center, Chengdu, Sichuan","institution_ids":["https://openalex.org/I4210095565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083627327","display_name":"Zezhong Zheng","orcid":"https://orcid.org/0000-0002-5615-5015"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"funder","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhong Zheng","raw_affiliation_strings":["Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen, Guangdong","School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen, Guangdong","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073002639","display_name":"Mingkun Feng","orcid":"https://orcid.org/0000-0001-6716-8949"},"institutions":[{"id":"https://openalex.org/I4210095565","display_name":"Health and Family Planning Commission of Sichuan Province","ror":"https://ror.org/00kx6j950","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210095565"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkun Feng","raw_affiliation_strings":["Chengdu Land Planning and Cadastre Center, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"Chengdu Land Planning and Cadastre Center, Chengdu, Sichuan","institution_ids":["https://openalex.org/I4210095565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086917578","display_name":"Zhongnian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongnian Li","raw_affiliation_strings":["Central China Normal University, Wuhan, Hubei"],"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, Hubei","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007217610","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0001-8717-2320"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062629438","display_name":"Mingqi Li","orcid":"https://orcid.org/0000-0003-2412-9477"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqi Li","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003637988","display_name":"Ling Jiang","orcid":"https://orcid.org/0000-0003-4390-4686"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Jiang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409520","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0003-1123-6193"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001377475","display_name":"Ankai Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ankai Hou","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101534275","display_name":"Biao Zhang","orcid":"https://orcid.org/0000-0002-6297-7699"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Zhang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101768166","display_name":"Xuemei Li","orcid":"https://orcid.org/0000-0002-6256-7032"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Technology, Chengdu, Sichuan"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Technology, Chengdu, Sichuan","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5084364940"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I211433327"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11846374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6540","last_page":"6543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.5996545553207397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5307714343070984},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.497578889131546},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.48295849561691284},{"id":"https://openalex.org/keywords/land-price","display_name":"Land price","score":0.45995867252349854},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4456089437007904},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.4305836260318756},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4189009666442871},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.41127505898475647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.290555477142334},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2391141951084137},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2360108494758606},{"id":"https://openalex.org/keywords/agricultural-economics","display_name":"Agricultural economics","score":0.2075149118900299},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.14953547716140747},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09556776285171509}],"concepts":[{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.5996545553207397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5307714343070984},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.497578889131546},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.48295849561691284},{"id":"https://openalex.org/C2993127880","wikidata":"https://www.wikidata.org/wiki/Q512599","display_name":"Land price","level":2,"score":0.45995867252349854},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4456089437007904},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.4305836260318756},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4189009666442871},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.41127505898475647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.290555477142334},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2391141951084137},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2360108494758606},{"id":"https://openalex.org/C48824518","wikidata":"https://www.wikidata.org/wiki/Q396340","display_name":"Agricultural economics","level":1,"score":0.2075149118900299},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.14953547716140747},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09556776285171509},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3173360701","display_name":null,"funder_award_id":"2014swg04,2018SWG02","funder_id":"https://openalex.org/F4320329223","funder_display_name":"State Key Laboratory of Water Resources and Hydropower Engineering Science"},{"id":"https://openalex.org/G4638688199","display_name":null,"funder_award_id":"2020YFSY0041","funder_id":"https://openalex.org/F4320336596","funder_display_name":"Key Research and Development Program of Sichuan Province"},{"id":"https://openalex.org/G4731876639","display_name":null,"funder_award_id":"KF-2019-04-069,KF-2019-04-074","funder_id":"https://openalex.org/F4320328939","funder_display_name":"Key Laboratory of Deep-Earth Dynamics of Ministry of Natural Resources"},{"id":"https://openalex.org/G8878194687","display_name":null,"funder_award_id":"KJ-2020-3,KJ-2021-13","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"},{"id":"https://openalex.org/F4320328939","display_name":"Key Laboratory of Deep-Earth Dynamics of Ministry of Natural Resources","ror":null},{"id":"https://openalex.org/F4320329223","display_name":"State Key Laboratory of Water Resources and Hydropower Engineering Science","ror":null},{"id":"https://openalex.org/F4320336596","display_name":"Key Research and Development Program of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1597701603","https://openalex.org/W2165698076","https://openalex.org/W2984534168","https://openalex.org/W3121996782","https://openalex.org/W3123281046"],"related_works":["https://openalex.org/W2392907783","https://openalex.org/W1985072978","https://openalex.org/W891751532","https://openalex.org/W2375489112","https://openalex.org/W2370838374","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W3161989282"],"abstract_inverted_index":{"With":[0],"the":[1,7,17,25,38,41,45,50,56,84,114,163,171,191,200,216],"development":[2],"of":[3,22,28,34,74,87,173,182],"urbanization":[4],"in":[5,16,59,125],"China,":[6],"land":[8,31,53,69,130,152,203,219],"economy":[9],"accounts":[10],"for":[11,37,199],"more":[12,14,197],"and":[13,72,97,118,145,155],"percentage":[15],"gross":[18],"domestic":[19],"product":[20],"(GDP)":[21],"China.":[23],"Therefore,":[24,206],"accurate":[26],"assessment":[27],"urban":[29,51,201,217],"residential":[30,52,202,218],"price":[32,70,89,95,153,204,220],"is":[33,210],"great":[35],"interest":[36,75],"governments.":[39],"In":[40],"paper,":[42],"we":[43,65,92,112,150],"introduced":[44],"transfer":[46,184,222],"learning":[47,185],"to":[48,100,127,161,214],"assess":[49,129,215],"price,":[54,68],"taking":[55],"Shenzhen":[57],"city":[58],"China":[60],"as":[61,83],"a":[62,102],"case.":[63],"First,":[64],"collected":[66],"housing":[67,94],"data":[71,80,96,154],"points":[73],"(POI)":[76],"data.":[77,90],"The":[78,132,166],"POI":[79],"was":[81,196],"quantified":[82],"influencing":[85,98,156],"factors":[86,99,157],"two":[88],"Second,":[91],"used":[93,120,151],"train":[101],"high-accuracy":[103],"model":[104,116,192],"based":[105],"on":[106],"deep":[107],"belief":[108],"network":[109],"(DBN).":[110],"Third,":[111],"kept":[113],"DBN":[115],"unchanged,":[117],"then":[119],"three":[121,133,159,183],"new":[122],"models":[123,134,160,167,186],"connected":[124],"order":[126],"better":[128],"price.":[131],"are":[135],"back":[136],"propagation":[137],"(BP)":[138],"neural":[139],"network,":[140],"support":[141],"vector":[142],"machine":[143],"(SVM),":[144],"random":[146,194],"forest":[147,195],"(RF).":[148],"Finally,":[149],"with":[158,193,221],"find":[162],"best":[164],"one.":[165],"were":[168],"trained":[169],"by":[170],"method":[172,209],"five-fold":[174],"cross":[175],"validation.":[176],"Our":[177],"results":[178],"showed":[179],"that":[180],"all":[181],"had":[187],"good":[188],"accuracy":[189],"but":[190],"suitable":[198],"assessment.":[205],"our":[207],"proposed":[208],"an":[211],"efficient":[212],"approach":[213],"learning.":[223]},"counts_by_year":[],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
