{"id":"https://openalex.org/W3010451246","doi":"https://doi.org/10.14569/ijacsa.2020.0110222","title":"A Robust Deep Learning Model for Financial Distress Prediction","display_name":"A Robust Deep Learning Model for Financial Distress Prediction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010451246","doi":"https://doi.org/10.14569/ijacsa.2020.0110222","mag":"3010451246"},"language":"en","primary_location":{"id":"doi:10.14569/ijacsa.2020.0110222","doi":"https://doi.org/10.14569/ijacsa.2020.0110222","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2020.0110222","pdf_url":"http://thesai.org/Downloads/Volume11No2/Paper_22-A_Robust_Deep_Learning_Model.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"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 Advanced Computer Science and Applications","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://thesai.org/Downloads/Volume11No2/Paper_22-A_Robust_Deep_Learning_Model.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029706568","display_name":"Magdi El\u2010Bannany","orcid":"https://orcid.org/0000-0001-8795-3661","observed_orcids":["https://orcid.org/0000-0001-8795-3661"]},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Magdi El-Bannany","raw_affiliation_strings":["Department of Accounting College of Business Administration University of Sharjah 27272, UAE","Department of Computer Science College of Computing and Informatics","University of Sharjah 27272, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Accounting College of Business Administration University of Sharjah 27272, UAE","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Department of Computer Science College of Computing and Informatics","institution_ids":[]},{"raw_affiliation_string":"University of Sharjah 27272, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038981532","display_name":"Meenu Sreedharan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Meenu Sreedharan","raw_affiliation_strings":["Department of Computer Science","Department of Accounting College of Business Administration University of Sharjah 27272, UAE","Department of Computer Science College of Computing and Informatics","University of Sharjah 27272, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science","institution_ids":[]},{"raw_affiliation_string":"Department of Accounting College of Business Administration University of Sharjah 27272, UAE","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Department of Computer Science College of Computing and Informatics","institution_ids":[]},{"raw_affiliation_string":"University of Sharjah 27272, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085962998","display_name":"Mohsin Y Ahmed","orcid":"https://orcid.org/0000-0002-3361-838X","observed_orcids":["https://orcid.org/0000-0002-3361-838X"]},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ahmed M.","raw_affiliation_strings":["Department of Accounting College of Business Administration University of Sharjah 27272, UAE","Department of Computer Science College of Computing and Informatics","University of Sharjah 27272, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Accounting College of Business Administration University of Sharjah 27272, UAE","institution_ids":["https://openalex.org/I29891158"]},{"raw_affiliation_string":"Department of Computer Science College of Computing and Informatics","institution_ids":[]},{"raw_affiliation_string":"University of Sharjah 27272, UAE","institution_ids":["https://openalex.org/I29891158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I29891158"],"apc_list":null,"apc_paid":null,"fwci":6.5149,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96157504,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"11","issue":"2","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":1.0,"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":1.0,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.0,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/financial-distress-prediction","display_name":"financial distress prediction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.6819999814033508},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.906000018119812},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.9599999785423279},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.996999979019165},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.7390000224113464},{"id":"https://openalex.org/keywords/neural-network-architecture","display_name":"neural network architecture","score":0.7940000295639038},{"id":"https://openalex.org/keywords/resampling","display_name":"resampling","score":0.8149999976158142},{"id":"https://openalex.org/keywords/bankruptcy-prediction","display_name":"bankruptcy prediction","score":0.6320000290870667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8594712018966675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7321197986602783},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6796437501907349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6793671250343323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5931122303009033},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5673345923423767},{"id":"https://openalex.org/C2984760201","wikidata":"https://www.wikidata.org/wiki/Q1785212","display_name":"Financial distress","level":2,"score":0.5176463723182678},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5156518220901489},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4455132782459259},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.435962975025177},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4190117120742798},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3297111988067627},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C73283319","wikidata":"https://www.wikidata.org/wiki/Q1416617","display_name":"Financial system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14569/ijacsa.2020.0110222","doi":"https://doi.org/10.14569/ijacsa.2020.0110222","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2020.0110222","pdf_url":"http://thesai.org/Downloads/Volume11No2/Paper_22-A_Robust_Deep_Learning_Model.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"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 Advanced Computer Science and Applications","raw_type":"journal-article"},{"id":"pmh:oai:thesai.org:10240552-185d-4ce2-a7c7-235b124dc90e","doi":null,"is_oa":true,"landing_page_url":"https://thesai.org/Publications/ViewPaper?Volume=11Issue=2Code=IJACSASerialNo=22","pdf_url":"https://thesai.org/Downloads/Volume11No2/Paper_22-A_Robust_Deep_Learning_Model.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Advanced Computer Science and Applications, Vol. 11, No. 2 (2020), ISSN 2158-107X","raw_type":"text"}],"best_oa_location":{"id":"doi:10.14569/ijacsa.2020.0110222","doi":"https://doi.org/10.14569/ijacsa.2020.0110222","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2020.0110222","pdf_url":"http://thesai.org/Downloads/Volume11No2/Paper_22-A_Robust_Deep_Learning_Model.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"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 Advanced Computer Science and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010451246.pdf","grobid_xml":"https://content.openalex.org/works/W3010451246.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1175774059","https://openalex.org/W1902499012","https://openalex.org/W1994583956","https://openalex.org/W1998006504","https://openalex.org/W2004473119","https://openalex.org/W2015128650","https://openalex.org/W2072768981","https://openalex.org/W2078205535","https://openalex.org/W2094165287","https://openalex.org/W2109676405","https://openalex.org/W2121069620","https://openalex.org/W2124532504","https://openalex.org/W2140112671","https://openalex.org/W2253038028","https://openalex.org/W2264653489","https://openalex.org/W2290105104","https://openalex.org/W2341983589","https://openalex.org/W2523654814","https://openalex.org/W2535229547","https://openalex.org/W2567086669","https://openalex.org/W2899047724","https://openalex.org/W2900743306","https://openalex.org/W2972513579","https://openalex.org/W2998216295","https://openalex.org/W6680704940"],"related_works":["https://openalex.org/W4414406267","https://openalex.org/W7117567855","https://openalex.org/W4410721399","https://openalex.org/W4407875787","https://openalex.org/W4281490929","https://openalex.org/W3118839411","https://openalex.org/W4241578779","https://openalex.org/W7166554581","https://openalex.org/W4223941261","https://openalex.org/W4408861215"],"abstract_inverted_index":{"This":[0,13,92],"paper":[1],"investigates":[2,94],"the":[3,35,39,55,72,76,81,95,106,137,149,160,178,184],"ability":[4],"of":[5,38,129,139,173],"deep":[6,18,97,162],"learning":[7,19,169],"networks":[8],"on":[9,177],"financial":[10,102,192],"distress":[11,103,193],"prediction.":[12,59,194],"study":[14,93,146],"uses":[15],"three":[16],"different":[17,41,50,116],"models,":[20],"namely,":[21],"Multi-layer":[22],"Perceptron":[23],"(MLP),":[24],"Long":[25],"Short-term":[26],"Memory":[27],"(LSTM)":[28],"and":[29,65,125,152],"Convolutional":[30],"Neural":[31],"Networks":[32],"(CNN).":[33],"In":[34,71],"first":[36,82],"phase":[37,83],"study,":[40],"Optimization":[42],"techniques":[43],"are":[44,63,181],"applied":[45],"to":[46,53,147,183,186],"each":[47],"model":[48,51,57,100,164,190],"creating":[49],"structures,":[52],"generate":[54,187],"best":[56,77,107],"for":[58,101,141,191],"The":[60,110,155],"top":[61],"results":[62,157],"presented":[64],"analyzed":[66],"with":[67,105,127],"various":[68],"optimization":[69,108],"parameters.":[70,109],"second":[73],"phase,":[74],"MLP,":[75],"classifier":[78],"identified":[79],"in":[80,89,144,171],"is":[84,113],"further":[85],"optimized":[86],"through":[87],"variations":[88],"architectural":[90],"configurations.":[91],"robust":[96,189],"neural":[98],"network":[99,163],"prediction":[104,111],"performance":[112],"evaluated":[114],"using":[115],"real-time":[117],"datasets,":[118],"one":[119],"containing":[120],"samples":[121,128],"from":[122,131],"Kuwait":[123],"companies":[124,130],"another":[126],"GCC":[132],"countries.":[133],"We":[134],"have":[135],"used":[136],"technique":[138],"resampling":[140],"all":[142],"experiments":[143],"this":[145],"get":[148],"most":[150],"accurate":[151],"unbiased":[153],"results.":[154],"simulation":[156],"show":[158],"that":[159],"proposed":[161],"far":[165],"exceeds":[166],"classical":[167],"machine":[168],"models":[170],"terms":[172],"predictive":[174],"accuracy.":[175],"Based":[176],"experiments,":[179],"guidelines":[180],"provided":[182],"practitioners":[185],"a":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2020-03-13T00:00:00"}
