{"id":"https://openalex.org/W4413999977","doi":"https://doi.org/10.1007/s10614-025-11094-w","title":"VAE-INN: Variational Autoencoder with Integrated Neural Network Classifier for Imbalanced Credit Scoring, Utilizing Weighted Loss for Improved Accuracy","display_name":"VAE-INN: Variational Autoencoder with Integrated Neural Network Classifier for Imbalanced Credit Scoring, Utilizing Weighted Loss for Improved Accuracy","publication_year":2025,"publication_date":"2025-09-04","ids":{"openalex":"https://openalex.org/W4413999977","doi":"https://doi.org/10.1007/s10614-025-11094-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10614-025-11094-w","doi":"https://doi.org/10.1007/s10614-025-11094-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10614-025-11094-w","pdf_url":null,"source":{"id":"https://openalex.org/S98984247","display_name":"Computational Economics","issn_l":"0927-7099","issn":["0927-7099","1572-9974"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Economics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5072265931","display_name":"Dalia Atif","orcid":"https://orcid.org/0000-0002-9919-3628","observed_orcids":["https://orcid.org/0000-0002-9919-3628"]},"institutions":[{"id":"https://openalex.org/I4405252898","display_name":"Centre Universitaire Morsli Abdellah de Tipaza","ror":"https://ror.org/003b7tf67","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4405252898"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Dalia ATIF","raw_affiliation_strings":["Economics, University Center of Tipaza, Tipaza, 42000, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-9919-3628","affiliations":[{"raw_affiliation_string":"Economics, University Center of Tipaza, Tipaza, 42000, Algeria","institution_ids":["https://openalex.org/I4405252898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072265931"],"corresponding_institution_ids":["https://openalex.org/I4405252898"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":null,"fwci":0.746,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70524366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"68","issue":"2","first_page":"1213","last_page":"1243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.8324999809265137,"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":0.8324999809265137,"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":0.16609999537467957,"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/T12384","display_name":"Customer churn and segmentation","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/credit-scoring","display_name":"credit scoring","score":0.8980000019073486},{"id":"https://openalex.org/keywords/credit-risk-assessment","display_name":"credit risk assessment","score":0.859000027179718},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.7360000014305115},{"id":"https://openalex.org/keywords/variational-autoencoder","display_name":"variational autoencoder","score":0.9589999914169312},{"id":"https://openalex.org/keywords/neural-network-classifier","display_name":"neural network classifier","score":0.8009999990463257},{"id":"https://openalex.org/keywords/weighted-loss","display_name":"weighted loss","score":0.671999990940094},{"id":"https://openalex.org/keywords/latent-space","display_name":"latent space","score":0.640999972820282},{"id":"https://openalex.org/keywords/financial-risk","display_name":"financial risk","score":0.5619999766349792}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9186400175094604},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6352971196174622},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5974996089935303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293895602226257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4766182005405426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4606613516807556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3569740653038025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3431033194065094}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10614-025-11094-w","doi":"https://doi.org/10.1007/s10614-025-11094-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10614-025-11094-w","pdf_url":null,"source":{"id":"https://openalex.org/S98984247","display_name":"Computational Economics","issn_l":"0927-7099","issn":["0927-7099","1572-9974"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Economics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7578999996185303,"id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1623006543","https://openalex.org/W1959608418","https://openalex.org/W2116660956","https://openalex.org/W2131816657","https://openalex.org/W2467604901","https://openalex.org/W2810984894","https://openalex.org/W2922230028","https://openalex.org/W2963647203","https://openalex.org/W2984062413","https://openalex.org/W2991433237","https://openalex.org/W3048656210","https://openalex.org/W3087429330","https://openalex.org/W3153226991","https://openalex.org/W3168243469","https://openalex.org/W4210254784","https://openalex.org/W4281382034","https://openalex.org/W4283775933","https://openalex.org/W4292869357","https://openalex.org/W4295733249","https://openalex.org/W4311711136","https://openalex.org/W4320033649","https://openalex.org/W4366779294","https://openalex.org/W4367671787","https://openalex.org/W4394018103","https://openalex.org/W4402128718","https://openalex.org/W4403891789","https://openalex.org/W4405278491","https://openalex.org/W4407719980","https://openalex.org/W4416839012","https://openalex.org/W7103757427"],"related_works":["https://openalex.org/W7125198774","https://openalex.org/W4414166077","https://openalex.org/W4391664366","https://openalex.org/W7129201010","https://openalex.org/W3165824573","https://openalex.org/W3193930202","https://openalex.org/W4386955386","https://openalex.org/W7160413524","https://openalex.org/W4403826854","https://openalex.org/W7127368754"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}