{"id":"https://openalex.org/W4410887782","doi":"https://doi.org/10.1109/iscbi64586.2025.11015371","title":"Evaluating Hybrid Machine Learning Models Bankruptcy Prediction","display_name":"Evaluating Hybrid Machine Learning Models Bankruptcy Prediction","publication_year":2025,"publication_date":"2025-02-14","ids":{"openalex":"https://openalex.org/W4410887782","doi":"https://doi.org/10.1109/iscbi64586.2025.11015371"},"language":"en","primary_location":{"id":"doi:10.1109/iscbi64586.2025.11015371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi64586.2025.11015371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 7th International Symposium on Computational and Business Intelligence (ISCBI)","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/A5075255217","display_name":"Ziyue Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Ziyue Huang","raw_affiliation_strings":["Hong Kong Baptist University,Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University,Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075255217"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20000375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.8845999836921692,"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":0.8845999836921692,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bankruptcy","display_name":"Bankruptcy","score":0.7037453651428223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186168789863586},{"id":"https://openalex.org/keywords/bankruptcy-prediction","display_name":"Bankruptcy prediction","score":0.5058355331420898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4798857271671295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4546409845352173},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09564235806465149},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.07535034418106079}],"concepts":[{"id":"https://openalex.org/C504631918","wikidata":"https://www.wikidata.org/wiki/Q152074","display_name":"Bankruptcy","level":2,"score":0.7037453651428223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186168789863586},{"id":"https://openalex.org/C2777388754","wikidata":"https://www.wikidata.org/wiki/Q1664594","display_name":"Bankruptcy prediction","level":3,"score":0.5058355331420898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4798857271671295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4546409845352173},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09564235806465149},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.07535034418106079}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscbi64586.2025.11015371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi64586.2025.11015371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 7th International Symposium on Computational and Business Intelligence (ISCBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W45138195","https://openalex.org/W1484545635","https://openalex.org/W2005596732","https://openalex.org/W2016207894","https://openalex.org/W2020848494","https://openalex.org/W2104933073","https://openalex.org/W2121069620","https://openalex.org/W2142225512","https://openalex.org/W2147442989","https://openalex.org/W2165035706","https://openalex.org/W2295598076","https://openalex.org/W2606916050","https://openalex.org/W2611805286","https://openalex.org/W2927449049","https://openalex.org/W2987489564","https://openalex.org/W3013529556","https://openalex.org/W3097563289","https://openalex.org/W3121930698","https://openalex.org/W3205041676","https://openalex.org/W3207726840","https://openalex.org/W4230474071","https://openalex.org/W4239510810","https://openalex.org/W4378574390","https://openalex.org/W6683094112"],"related_works":["https://openalex.org/W2285942202","https://openalex.org/W4237436108","https://openalex.org/W2241582670","https://openalex.org/W2961085424","https://openalex.org/W2347342407","https://openalex.org/W4306674287","https://openalex.org/W3180694154","https://openalex.org/W2270360991","https://openalex.org/W4387369504","https://openalex.org/W4394896187"],"abstract_inverted_index":{"The":[0],"accurate":[1],"prediction":[2,20,56],"of":[3,79,98,123,157],"corporate":[4],"bankruptcy":[5,19,97],"is":[6],"a":[7,76,92],"vital":[8],"challenge":[9],"for":[10,130],"mitigating":[11],"financial":[12,40,102,117,162],"risks":[13],"and":[14,26,34,48,62,82,132,140,151],"enhancing":[15],"business":[16,70,141],"decision-making.":[17,163],"Classical":[18],"models,":[21],"such":[22],"as":[23],"logistic":[24],"regression":[25],"discriminant":[27],"analysis,":[28],"struggle":[29],"to":[30,54,138],"address":[31],"the":[32,86,96,107,120,145,154],"non-linearity":[33],"data":[35],"imbalance":[36],"issues":[37],"prevalent":[38],"in":[39,44,69,161],"datasets.":[41],"Recent":[42],"advances":[43],"machine":[45],"learning":[46],"(ML)":[47],"hybrid":[49,83,125],"models":[50,113,126],"present":[51],"an":[52],"opportunity":[53],"improve":[55],"accuracy.":[57],"Yet,":[58],"computational":[59,121,139],"costs,":[60],"scalability,":[61],"interpretability":[63],"challenges":[64],"limit":[65],"their":[66],"practical":[67,155],"application":[68],"intelligence":[71,142],"contexts.":[72],"This":[73,135],"study":[74],"provides":[75],"comprehensive":[77],"evaluation":[78],"classical,":[80],"ML,":[81],"models\u2014":[84],"including":[85],"Stacked":[87],"Autoencoder":[88],"(SAE)":[89],"combined":[90],"with":[91],"Softmax":[93],"Classifier\u2014for":[94],"predicting":[95],"Polish":[99],"companies.":[100],"Leveraging":[101],"ratios":[103],"over":[104],"five":[105],"years,":[106],"SAE":[108],"model":[109,148],"consistently":[110],"outperformed":[111],"other":[112],"by":[114,143],"capturing":[115],"complex":[116],"patterns.":[118],"However,":[119],"intensity":[122],"deep":[124],"requires":[127],"further":[128],"optimisation":[129],"real-time":[131],"large-scale":[133],"applications.":[134],"research":[136],"contributes":[137],"examining":[144],"tradeoffs":[146],"between":[147],"accuracy,":[149],"efficiency,":[150],"interpretability,":[152],"guiding":[153],"deployment":[156],"advanced":[158],"predictive":[159],"analytics":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}