{"id":"https://openalex.org/W4415303151","doi":"https://doi.org/10.1155/int/8869784","title":"Enhanced Financial Fraud Detection via SISAE\u2010METADES: A Supervised Deep Representation and Dynamic Ensemble Approach","display_name":"Enhanced Financial Fraud Detection via SISAE\u2010METADES: A Supervised Deep Representation and Dynamic Ensemble Approach","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415303151","doi":"https://doi.org/10.1155/int/8869784"},"language":"en","primary_location":{"id":"doi:10.1155/int/8869784","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/8869784","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8869784","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8869784","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045152933","display_name":"Chang Wang","orcid":"https://orcid.org/0000-0003-4933-5349"},"institutions":[{"id":"https://openalex.org/I4210132399","display_name":"Wuxi Vocational Institute of Commerce","ror":"https://ror.org/03bdrtb23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132399"]},{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang Wang","raw_affiliation_strings":["Institute of China (Wuxi) Cross-Border Electronic Commerce Comprehensive Pilot Zone ,  Wuxi University ,  Wuxi ,  214105 ,  China","School of Digital Economics and Management ,  Wuxi University ,  Wuxi ,  214105 ,  China"],"affiliations":[{"raw_affiliation_string":"Institute of China (Wuxi) Cross-Border Electronic Commerce Comprehensive Pilot Zone ,  Wuxi University ,  Wuxi ,  214105 ,  China","institution_ids":["https://openalex.org/I4210132399"]},{"raw_affiliation_string":"School of Digital Economics and Management ,  Wuxi University ,  Wuxi ,  214105 ,  China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090068486","display_name":"Sheng Fang","orcid":"https://orcid.org/0000-0002-5807-426X"},"institutions":[{"id":"https://openalex.org/I4210132399","display_name":"Wuxi Vocational Institute of Commerce","ror":"https://ror.org/03bdrtb23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132399"]},{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Fang","raw_affiliation_strings":["Institute of China (Wuxi) Cross-Border Electronic Commerce Comprehensive Pilot Zone ,  Wuxi University ,  Wuxi ,  214105 ,  China","School of Digital Economics and Management ,  Wuxi University ,  Wuxi ,  214105 ,  China"],"affiliations":[{"raw_affiliation_string":"Institute of China (Wuxi) Cross-Border Electronic Commerce Comprehensive Pilot Zone ,  Wuxi University ,  Wuxi ,  214105 ,  China","institution_ids":["https://openalex.org/I4210132399"]},{"raw_affiliation_string":"School of Digital Economics and Management ,  Wuxi University ,  Wuxi ,  214105 ,  China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002272719","display_name":"Fang-Su Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]},{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangsu Zhao","raw_affiliation_strings":["School of Management ,  Chongqing University of Science and Technology ,  Chongqing ,  401331 ,  China ,  cqust.cn"],"affiliations":[{"raw_affiliation_string":"School of Management ,  Chongqing University of Science and Technology ,  Chongqing ,  401331 ,  China ,  cqust.cn","institution_ids":["https://openalex.org/I168337820","https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120043841","display_name":"Zongmei Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116886","display_name":"Chongqing Vocational Institute of Engineering","ror":"https://ror.org/0279ehd23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116886"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongmei Mu","raw_affiliation_strings":["School of E-Commerce Logistics ,  Chongqing Business Vocational College ,  Chongqing ,  400030 ,  China ,  unipage.net"],"affiliations":[{"raw_affiliation_string":"School of E-Commerce Logistics ,  Chongqing Business Vocational College ,  Chongqing ,  400030 ,  China ,  unipage.net","institution_ids":["https://openalex.org/I4210116886"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045152933"],"corresponding_institution_ids":["https://openalex.org/I4210132399","https://openalex.org/I77631543"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15519467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9904999732971191,"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":0.9904999732971191,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/robustness","display_name":"Robustness (evolution)","score":0.597000002861023},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5620999932289124},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48080000281333923},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.40400001406669617},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.39169999957084656},{"id":"https://openalex.org/keywords/financial-fraud","display_name":"Financial fraud","score":0.3880000114440918},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.35269999504089355},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.35019999742507935},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.3490999937057495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620999813079834},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.597000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5745999813079834},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5620999932289124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5473999977111816},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.39169999957084656},{"id":"https://openalex.org/C2985140798","wikidata":"https://www.wikidata.org/wiki/Q28813","display_name":"Financial fraud","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3652999997138977},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.35019999742507935},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.30959999561309814},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C2779601481","wikidata":"https://www.wikidata.org/wiki/Q650241","display_name":"Financial institution","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C2781027943","wikidata":"https://www.wikidata.org/wiki/Q192907","display_name":"Financial statement","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C2992337254","wikidata":"https://www.wikidata.org/wiki/Q31275820","display_name":"Financial stability","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C2780421641","wikidata":"https://www.wikidata.org/wiki/Q677066","display_name":"Too big to fail","level":3,"score":0.2556999921798706},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/int/8869784","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/8869784","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8869784","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/int/8869784","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/8869784","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8869784","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415303151.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W82771173","https://openalex.org/W1120269880","https://openalex.org/W1501960888","https://openalex.org/W1909847116","https://openalex.org/W2016375676","https://openalex.org/W2047617291","https://openalex.org/W2085573882","https://openalex.org/W2100495367","https://openalex.org/W2132966115","https://openalex.org/W2135293965","https://openalex.org/W2136922672","https://openalex.org/W2145940431","https://openalex.org/W2167332641","https://openalex.org/W2172852798","https://openalex.org/W2747237564","https://openalex.org/W2789758093","https://openalex.org/W2793304295","https://openalex.org/W2806416578","https://openalex.org/W2963881342","https://openalex.org/W2967743080","https://openalex.org/W2984115284","https://openalex.org/W3021052705","https://openalex.org/W3125883326","https://openalex.org/W3143258789","https://openalex.org/W3159916456","https://openalex.org/W3183560208","https://openalex.org/W3184401274","https://openalex.org/W3200537615","https://openalex.org/W4205471456","https://openalex.org/W4212863985","https://openalex.org/W4285224136","https://openalex.org/W4288771029","https://openalex.org/W4385652503","https://openalex.org/W4385721424","https://openalex.org/W4388639358","https://openalex.org/W4393023145","https://openalex.org/W4395690061","https://openalex.org/W4399556276","https://openalex.org/W4400012373"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"financial":[1,24,32,115,169,192],"reporting":[2],"fraud":[3,33,170],"is":[4],"vital":[5],"for":[6,168],"preserving":[7],"market":[8,184],"integrity":[9],"and":[10,22,76,83,94,99,138,151,156,186],"protecting":[11],"investors":[12],"from":[13,118],"substantial":[14,146],"losses.":[15],"Yet,":[16],"the":[17,28,69,92,111,154,175,188,191],"challenges":[18],"of":[19,30,96,158,190],"high":[20],"dimensionality":[21],"noisy":[23],"data":[25,117],"often":[26],"undermine":[27],"effectiveness":[29,157],"existing":[31],"detection":[34],"systems.":[35],"To":[36],"address":[37],"these":[38],"issues,":[39],"this":[40],"study":[41],"proposes":[42],"SISAE\u2010METADES,":[43],"a":[44,49,56],"novel":[45],"framework":[46,113],"that":[47,130],"integrates":[48],"supervised":[50,160],"input\u2010enhanced":[51],"stacked":[52,65],"autoencoder":[53],"(SISAE)":[54],"with":[55,164],"meta\u2010learning\u2013based":[57],"dynamic":[58,165],"ensemble":[59,166],"selection":[60,167],"(METADES)":[61],"strategy.":[62],"Unlike":[63],"conventional":[64],"autoencoders,":[66],"SISAE":[67],"concatenates":[68],"original":[70],"input":[71],"at":[72],"each":[73],"encoding":[74],"stage":[75],"incorporates":[77],"label":[78],"supervision,":[79],"thereby":[80],"learning":[81,163],"task\u2010relevant":[82],"class\u2010discriminative":[84],"representations.":[85],"These":[86,172],"enriched":[87],"deep":[88,161],"features":[89],"improve":[90],"both":[91],"diversity":[93],"competence":[95,107],"base":[97],"classifiers":[98],"enable":[100],"METADES":[101],"to":[102],"achieve":[103],"more":[104],"reliable":[105],"local":[106],"estimation.":[108],"We":[109],"validate":[110],"proposed":[112],"using":[114],"statement":[116],"Chinese":[119],"A\u2010share":[120],"listed":[121],"companies":[122],"(2005\u20132023),":[123],"covering":[124],"71":[125],"indicators.":[126],"Experimental":[127],"results":[128],"show":[129],"SISAE\u2010METADES":[131],"significantly":[132],"outperforms":[133],"standalone":[134],"SISAE,":[135],"traditional":[136],"METADES,":[137],"several":[139],"state\u2010of\u2010the\u2010art":[140],"baselines.":[141],"In":[142],"particular,":[143],"it":[144],"achieves":[145],"improvements":[147],"in":[148,179],"accuracy,":[149],"recall,":[150],"F1\u2010score,":[152],"underscoring":[153],"robustness":[155],"combining":[159],"representation":[162],"detection.":[171],"findings":[173],"highlight":[174],"framework\u2019s":[176],"practical":[177],"significance":[178],"reducing":[180],"investor":[181],"losses,":[182],"strengthening":[183],"confidence,":[185],"promoting":[187],"stability":[189],"system.":[193]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-18T00:00:00"}
