{"id":"https://openalex.org/W4387171269","doi":"https://doi.org/10.3233/faia230532","title":"Tab-Attention: Self-Attention-Based Stacked Generalization for Imbalanced Credit Default Prediction","display_name":"Tab-Attention: Self-Attention-Based Stacked Generalization for Imbalanced Credit Default Prediction","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387171269","doi":"https://doi.org/10.3233/faia230532"},"language":"en","primary_location":{"id":"doi:10.3233/faia230532","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230532","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230532","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008636197","display_name":"Yandan Tan","orcid":"https://orcid.org/0000-0002-9629-1118"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandan Tan","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9629-1118","affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091507054","display_name":"Hongbin Zhu","orcid":"https://orcid.org/0000-0003-0837-9919"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zhu","raw_affiliation_strings":["Institute of FinTech, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of FinTech, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600532","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0003-0404-0707"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Institute of FinTech, Fudan University, Shanghai, China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of FinTech, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023897455","display_name":"Hongfeng Chai","orcid":"https://orcid.org/0000-0002-8577-4771"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfeng Chai","raw_affiliation_strings":["Institute of FinTech, Fudan University, Shanghai, China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of FinTech, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":4.0744,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94732839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9983000159263611,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9732000231742859,"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/T11496","display_name":"Credit Risk and Financial Regulations","score":0.9369000196456909,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860827207565308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6684999465942383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6259522438049316},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5919619202613831},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5766947269439697},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5653563737869263},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4909704029560089},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48822787404060364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3364890217781067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15528374910354614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860827207565308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6684999465942383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6259522438049316},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5919619202613831},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5766947269439697},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5653563737869263},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4909704029560089},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48822787404060364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3364890217781067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15528374910354614},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia230532","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230532","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230532","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2312.01688","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.01688","pdf_url":"https://arxiv.org/pdf/2312.01688","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.3233/faia230532","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230532","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230532","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G532757218","display_name":null,"funder_award_id":"2021 YFC3300600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387171269.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1550982594","https://openalex.org/W1973704036","https://openalex.org/W2015954856","https://openalex.org/W2017692451","https://openalex.org/W2156100677","https://openalex.org/W2160227689","https://openalex.org/W2295598076","https://openalex.org/W2478071931","https://openalex.org/W2560858617","https://openalex.org/W2761075141","https://openalex.org/W2788409491","https://openalex.org/W2798476254","https://openalex.org/W2895269073","https://openalex.org/W2964022491","https://openalex.org/W2969724595","https://openalex.org/W2972470287","https://openalex.org/W2984062413","https://openalex.org/W3010882522","https://openalex.org/W3010996902","https://openalex.org/W3021659040","https://openalex.org/W3122311045","https://openalex.org/W3123085760","https://openalex.org/W3124024784","https://openalex.org/W3126721948","https://openalex.org/W3135286407","https://openalex.org/W3146366485","https://openalex.org/W3159337199","https://openalex.org/W3171087525","https://openalex.org/W3174086521","https://openalex.org/W4212954694","https://openalex.org/W4220655748","https://openalex.org/W4288108355","https://openalex.org/W4297878071","https://openalex.org/W4302275239","https://openalex.org/W4313327829"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W2145188897","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Accurately":[0],"credit":[1,61],"default":[2,18,62,119,129],"prediction":[3,19,154,180],"faces":[4],"challenges":[5],"due":[6],"to":[7,76,90,111],"imbalanced":[8],"data":[9],"and":[10,15,33,82,99,126,136,143,153],"low":[11,79],"correlation":[12,81],"between":[13,97],"features":[14,98],"labels.":[16,100],"Existing":[17],"studies":[20],"on":[21,44,145],"the":[22,45,67,91,102,106,113,167],"basis":[23],"of":[24,41,128,172],"gradient":[25],"boosting":[26],"decision":[27],"trees":[28],"(GBDT),":[29],"deep":[30,138],"learning":[31,139],"techniques,":[32],"feature":[34,74,80,87],"selection":[35],"strategies":[36],"can":[37],"have":[38],"varying":[39],"degrees":[40],"success":[42],"depending":[43],"specific":[46],"task.":[47],"Motivated":[48],"by":[49,140],"this,":[50],"we":[51],"propose":[52],"Tab-Attention,":[53],"a":[54,176],"novel":[55],"self-attention-based":[56],"stacked":[57],"generalization":[58],"method":[59,161],"for":[60,116,156,175],"prediction.":[63],"This":[64],"approach":[65],"ensembles":[66],"potential":[68],"proprietary":[69],"knowledge":[70,165],"contributions":[71],"from":[72],"multi-view":[73,86],"spaces,":[75],"cope":[77],"with":[78],"imbalance.":[83],"We":[84],"organize":[85],"spaces":[88],"according":[89],"latent":[92],"linear":[93],"or":[94],"nonlinear":[95],"strengths":[96],"Meanwhile,":[101],"f1":[103],"score":[104],"assists":[105],"model":[107],"in":[108],"imbalance":[109],"training":[110],"find":[112],"optimal":[114],"state":[115],"identifying":[117],"minority":[118],"samples.":[120,158],"Our":[121],"Tab-Attention":[122],"achieves":[123],"superior":[124],"Recall1":[125],"f11":[127],"intention":[130],"recognition":[131],"than":[132],"existing":[133],"GBDT-based":[134],"models":[135],"advanced":[137],"about":[141],"32.92%":[142],"16.05%":[144],"average,":[146],"respectively,":[147],"while":[148],"maintaining":[149],"outstanding":[150],"overall":[151],"performance":[152,155],"non-default":[157],"The":[159],"proposed":[160],"could":[162],"ensemble":[163],"essential":[164],"through":[166],"self-attention":[168],"mechanism,":[169],"which":[170],"is":[171],"great":[173],"significance":[174],"more":[177],"robust":[178],"future":[179],"system.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}