{"id":"https://openalex.org/W3168750683","doi":"https://doi.org/10.1109/cscwd49262.2021.9437749","title":"Transfer Learning Based Credit Scoring","display_name":"Transfer Learning Based Credit Scoring","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3168750683","doi":"https://doi.org/10.1109/cscwd49262.2021.9437749","mag":"3168750683"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd49262.2021.9437749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd49262.2021.9437749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086781150","display_name":"Qiancheng Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiancheng Wei","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558752","display_name":"Liu Ying","orcid":"https://orcid.org/0000-0001-9738-8272"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071578324","display_name":"Kaichao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaichao Wu","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1251","last_page":"1255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7690800428390503},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7410140037536621},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7196353673934937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6732942461967468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6268048286437988},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.552675724029541},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.46944519877433777},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4400427043437958},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39006417989730835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08728817105293274},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08546051383018494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7690800428390503},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7410140037536621},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7196353673934937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6732942461967468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6268048286437988},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.552675724029541},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.46944519877433777},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4400427043437958},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39006417989730835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08728817105293274},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08546051383018494},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd49262.2021.9437749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd49262.2021.9437749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3371960362","display_name":null,"funder_award_id":"71671178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W14576171","https://openalex.org/W1621791442","https://openalex.org/W1966528570","https://openalex.org/W1985624473","https://openalex.org/W1998452394","https://openalex.org/W2039860729","https://openalex.org/W2057266281","https://openalex.org/W2058988827","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2122838776","https://openalex.org/W2134845968","https://openalex.org/W2165698076","https://openalex.org/W2245202563","https://openalex.org/W2273893358","https://openalex.org/W2294609343","https://openalex.org/W2295598076","https://openalex.org/W2314674709","https://openalex.org/W2586297576","https://openalex.org/W2895109358","https://openalex.org/W3006063106","https://openalex.org/W3082453666","https://openalex.org/W3091787675","https://openalex.org/W3093314742","https://openalex.org/W3098460066","https://openalex.org/W4239943352","https://openalex.org/W6676840641","https://openalex.org/W6680105781","https://openalex.org/W6697042369"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W4282827391","https://openalex.org/W1185300216","https://openalex.org/W4386828785","https://openalex.org/W3165580226","https://openalex.org/W2961085424","https://openalex.org/W3135401135","https://openalex.org/W2886688859","https://openalex.org/W2954163146","https://openalex.org/W3133164560"],"abstract_inverted_index":{"Financial":[0],"institutions":[1],"often":[2],"encounter":[3],"cold-start":[4,140],"problems":[5],"when":[6],"building":[7],"credit":[8,17,31,123],"scoring":[9,18,32],"models.":[10],"This":[11],"paper":[12,134,160],"applies":[13],"transfer":[14,128,150],"learning":[15,81,129,151],"to":[16,20,26,44,57,60,87,106,115],"predictions":[19],"help":[21],"solve":[22],"this":[23,133,159],"problem.":[24],"According":[25],"the":[27,30,36,51,66,73,94,100,112,118,122,127,139,143,148,155],"characteristics":[28],"of":[29,96,103],"task,":[33,145],"we":[34],"make":[35],"following":[37],"two":[38],"innovations.":[39],"The":[40,83],"first":[41],"one":[42,85],"is":[43,86],"propose":[45,88],"a":[46,78,89,163],"SPY-Transfer":[47],"model.":[48],"We":[49],"transform":[50],"SPY":[52,97],"algorithm":[53,98,105],"in":[54,117,132,158],"Positive-Unlabeled(PU)":[55],"field":[56],"enable":[58],"it":[59],"select":[61,107],"more":[62,108],"valuable":[63],"samples":[64,110],"from":[65,111],"source":[67,113],"data":[68,114],"and":[69,99],"fill":[70,116],"them":[71],"into":[72],"target":[74,119],"data,":[75],"thus":[76],"implement":[77],"sample-based":[79],"migration":[80],"method.":[82],"second":[84],"SPY-TrAdaBoost":[90],"model,":[91],"which":[92],"uses":[93],"idea":[95],"calculation":[101],"method":[102,130,152],"TrAdaBoost":[104,153],"suitable":[109],"data.":[120],"In":[121,142],"score":[124],"prediction":[125],"experiment,":[126],"proposed":[131,157],"has":[135,162],"better":[136],"performance":[137,165],"than":[138],"modeling.":[141],"same":[144],"compared":[146],"with":[147],"classic":[149],"algorithm,":[154],"model":[156],"also":[161],"greater":[164],"advantage.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
