{"id":"https://openalex.org/W4404351443","doi":"https://doi.org/10.1145/3677052.3698659","title":"Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data","display_name":"Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data","publication_year":2024,"publication_date":"2024-11-14","ids":{"openalex":"https://openalex.org/W4404351443","doi":"https://doi.org/10.1145/3677052.3698659"},"language":"en","primary_location":{"id":"doi:10.1145/3677052.3698659","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677052.3698659","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698659","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on AI in Finance","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698659","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056732531","display_name":"Marco Schreyer","orcid":"https://orcid.org/0009-0001-3800-2226"},"institutions":[{"id":"https://openalex.org/I1297971548","display_name":"International Computer Science Institute","ror":"https://ror.org/01ewh7m12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297971548"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marco Schreyer","raw_affiliation_strings":["International Computer Science Institute (ICSI), USA"],"raw_orcid":"https://orcid.org/0009-0001-3800-2226","affiliations":[{"raw_affiliation_string":"International Computer Science Institute (ICSI), USA","institution_ids":["https://openalex.org/I1297971548"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055820496","display_name":"Timur Sattarov","orcid":"https://orcid.org/0000-0003-0460-0313"},"institutions":[{"id":"https://openalex.org/I74623043","display_name":"Deutsche Bundesbank","ror":"https://ror.org/03jvfq589","country_code":"DE","type":"other","lineage":["https://openalex.org/I74623043"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timur Sattarov","raw_affiliation_strings":["Deutsche Bundesbank, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0460-0313","affiliations":[{"raw_affiliation_string":"Deutsche Bundesbank, Germany","institution_ids":["https://openalex.org/I74623043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068293431","display_name":"Alex Sim","orcid":"https://orcid.org/0000-0002-6295-1982"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Sim","raw_affiliation_strings":["Lawrence Berkeley National Laboratory (LBNL), USA"],"raw_orcid":"https://orcid.org/0000-0002-6295-1982","affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory (LBNL), USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043129695","display_name":"Kesheng Wu","orcid":"https://orcid.org/0000-0002-6907-3393"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kesheng Wu","raw_affiliation_strings":["Lawrence Berkeley National Laboratory (LBNL), USA"],"raw_orcid":"https://orcid.org/0000-0002-6907-3393","affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory (LBNL), USA","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056732531"],"corresponding_institution_ids":["https://openalex.org/I1297971548"],"apc_list":null,"apc_paid":null,"fwci":0.6623,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76143771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9983999729156494,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9983999729156494,"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":0.9909999966621399,"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/T14400","display_name":"Medical Coding and Health Information","score":0.9348999857902527,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.589606523513794},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5642058849334717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.553852915763855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23542875051498413},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07033443450927734},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.0634411871433258}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.589606523513794},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5642058849334717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.553852915763855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23542875051498413},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07033443450927734},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0634411871433258}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3677052.3698659","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677052.3698659","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698659","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on AI in Finance","raw_type":"proceedings-article"},{"id":"pmh:ark:/13030/qt8vj430z1","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:escholarship.org:ark:/13030/qt8vj430z1","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/8vj430z1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"5TH ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2024","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3677052.3698659","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677052.3698659","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698659","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on AI in Finance","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G4511449780","display_name":null,"funder_award_id":"DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404351443.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W571200655","https://openalex.org/W2019858993","https://openalex.org/W2030572829","https://openalex.org/W2038030840","https://openalex.org/W2040010062","https://openalex.org/W2058732827","https://openalex.org/W2119191234","https://openalex.org/W2134670261","https://openalex.org/W2138079527","https://openalex.org/W2148143831","https://openalex.org/W2187089797","https://openalex.org/W2247875277","https://openalex.org/W2521200999","https://openalex.org/W2531563875","https://openalex.org/W2913954081","https://openalex.org/W2970971581","https://openalex.org/W2984529706","https://openalex.org/W3015694082","https://openalex.org/W3120644841","https://openalex.org/W4293713156","https://openalex.org/W4295312788","https://openalex.org/W4311887664","https://openalex.org/W4388994349","https://openalex.org/W6811216112"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Handling":[0],"imbalanced":[1],"datasets":[2,85],"remains":[3],"a":[4,26,60],"critical":[5],"challenge":[6],"in":[7,36],"financial":[8,37,56,84],"machine-learning":[9],"applications":[10],"such":[11],"as":[12],"loan":[13],"approval,":[14],"credit":[15],"scoring,":[16],"and":[17,47,68,82,114],"fraud":[18],"detection.":[19],"We":[20],"present":[21],"Imbalanced":[22],"Financial":[23],"Diffusion":[24],"(Imb-FinDiff),":[25],"novel":[27],"denoising":[28],"diffusion":[29,65],"framework":[30,41],"designed":[31],"to":[32],"address":[33],"class":[34,70,76,102,106],"imbalance":[35],"tabular":[38],"data.":[39],"Our":[40],"leverages":[42],"embedding":[43],"encodings":[44],"for":[45],"categorical":[46],"numerical":[48],"attributes,":[49],"effectively":[50],"managing":[51],"the":[52,90,94,112],"complexities":[53],"of":[54,93,116],"mixed-type":[55],"datasets.":[57],"By":[58],"incorporating":[59],"dual":[61],"learning":[62,119],"objective,":[63],"(i)":[64],"timestep":[66],"noise":[67],"(ii)":[69],"label":[71],"prediction,":[72],"we":[73],"synthesize":[74],"minority":[75,105],"samples.":[77],"Extensive":[78],"experiments":[79],"on":[80],"diverse":[81],"real-world":[83],"demonstrate":[86],"that":[87],"Imb-FinDiff":[88,110],"maintains":[89],"statistical":[91],"properties":[92],"original":[95],"data":[96],"while":[97],"reducing":[98],"bias":[99],"caused":[100],"by":[101,109],"imbalance.":[103],"The":[104],"samples":[107],"generated":[108],"enhance":[111],"utility":[113],"fidelity":[115],"downstream":[117],"machine":[118],"classifiers.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
