{"id":"https://openalex.org/W3035471836","doi":"https://doi.org/10.1109/sisy47553.2019.9111557","title":"Ensemble methods for strongly imbalanced data: bankruptcy prediction","display_name":"Ensemble methods for strongly imbalanced data: bankruptcy prediction","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W3035471836","doi":"https://doi.org/10.1109/sisy47553.2019.9111557","mag":"3035471836"},"language":"en","primary_location":{"id":"doi:10.1109/sisy47553.2019.9111557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy47553.2019.9111557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","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/A5034754893","display_name":"Peter Gnip","orcid":"https://orcid.org/0000-0002-4951-2889"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Peter Gnip","raw_affiliation_strings":["Technical University of Kosice (TUKE),Department of Computers and Informatics (KPI),Kosice,Slovak Republic","Department of Computers and Informatics (KPI), Technical University of Kosice (TUKE), Kosice, Slovak Republic"],"affiliations":[{"raw_affiliation_string":"Technical University of Kosice (TUKE),Department of Computers and Informatics (KPI),Kosice,Slovak Republic","institution_ids":["https://openalex.org/I183764125"]},{"raw_affiliation_string":"Department of Computers and Informatics (KPI), Technical University of Kosice (TUKE), Kosice, Slovak Republic","institution_ids":["https://openalex.org/I183764125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075926177","display_name":"Peter Drot\u00e1r","orcid":"https://orcid.org/0000-0002-6634-4696"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Peter Drot\u00e1r","raw_affiliation_strings":["Technical University of Kosice (TUKE),Department of Computers and Informatics (KPI),Kosice,Slovak Republic","Department of Computers and Informatics (KPI), Technical University of Kosice (TUKE), Kosice, Slovak Republic"],"affiliations":[{"raw_affiliation_string":"Technical University of Kosice (TUKE),Department of Computers and Informatics (KPI),Kosice,Slovak Republic","institution_ids":["https://openalex.org/I183764125"]},{"raw_affiliation_string":"Department of Computers and Informatics (KPI), Technical University of Kosice (TUKE), Kosice, Slovak Republic","institution_ids":["https://openalex.org/I183764125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034754893"],"corresponding_institution_ids":["https://openalex.org/I183764125"],"apc_list":null,"apc_paid":null,"fwci":2.6053,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90877234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9990000128746033,"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":0.9990000128746033,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9984999895095825,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9043999910354614,"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/computer-science","display_name":"Computer science","score":0.7146426439285278},{"id":"https://openalex.org/keywords/bankruptcy","display_name":"Bankruptcy","score":0.6673303842544556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6327210664749146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6322158575057983},{"id":"https://openalex.org/keywords/bankruptcy-prediction","display_name":"Bankruptcy prediction","score":0.6236054301261902},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5732130408287048},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5374743342399597},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5019679069519043},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.47356879711151123},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.43970224261283875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36208608746528625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12272879481315613},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.11093801259994507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08210057020187378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146426439285278},{"id":"https://openalex.org/C504631918","wikidata":"https://www.wikidata.org/wiki/Q152074","display_name":"Bankruptcy","level":2,"score":0.6673303842544556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6327210664749146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6322158575057983},{"id":"https://openalex.org/C2777388754","wikidata":"https://www.wikidata.org/wiki/Q1664594","display_name":"Bankruptcy prediction","level":3,"score":0.6236054301261902},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5732130408287048},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5374743342399597},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5019679069519043},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.47356879711151123},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.43970224261283875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36208608746528625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12272879481315613},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.11093801259994507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08210057020187378},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sisy47553.2019.9111557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sisy47553.2019.9111557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W130779046","https://openalex.org/W1540371141","https://openalex.org/W1574238676","https://openalex.org/W1966745127","https://openalex.org/W1988790447","https://openalex.org/W1992175460","https://openalex.org/W2009620879","https://openalex.org/W2013831240","https://openalex.org/W2018666516","https://openalex.org/W2046792933","https://openalex.org/W2048697945","https://openalex.org/W2051815811","https://openalex.org/W2062634819","https://openalex.org/W2065770470","https://openalex.org/W2086431959","https://openalex.org/W2096945460","https://openalex.org/W2098307847","https://openalex.org/W2104167780","https://openalex.org/W2109943925","https://openalex.org/W2124532504","https://openalex.org/W2132870739","https://openalex.org/W2156909104","https://openalex.org/W2187089797","https://openalex.org/W2296719434","https://openalex.org/W2541759992","https://openalex.org/W2562319768","https://openalex.org/W2590780569","https://openalex.org/W2606916050","https://openalex.org/W2742177975","https://openalex.org/W2766659517","https://openalex.org/W2811029901","https://openalex.org/W2899894625","https://openalex.org/W2911964244","https://openalex.org/W2939367930","https://openalex.org/W4230474071","https://openalex.org/W4244313837","https://openalex.org/W6632223008","https://openalex.org/W7053126446"],"related_works":["https://openalex.org/W2285942202","https://openalex.org/W4237436108","https://openalex.org/W2241582670","https://openalex.org/W2347342407","https://openalex.org/W2270360991","https://openalex.org/W2940834140","https://openalex.org/W2738355008","https://openalex.org/W3012986183","https://openalex.org/W4238227620","https://openalex.org/W2794896638"],"abstract_inverted_index":{"Application":[0],"of":[1,17,24,44,62,74,89],"the":[2,15,45,81,90],"machine":[3,65],"learning":[4,21,66],"methods":[5,67],"on":[6,69,107],"strongly":[7],"imbalanced":[8],"datasets":[9,109],"is":[10,22,30,42,50,98],"a":[11,31,60,70],"challenging":[12],"task":[13],"in":[14,80,99],"field":[16],"data":[18],"processing.":[19],"Imbalanced":[20],"part":[23],"many":[25],"real-world":[26],"applications":[27],"and":[28,76,117],"it":[29,41],"very":[32],"vivid":[33],"research":[34],"area.":[35],"Moreover,":[36],"bankruptcy":[37],"prediction,":[38],"even":[39],"though":[40],"one":[43],"most":[46],"popular":[47],"prediction":[48,87],"applications,":[49],"still":[51],"not":[52],"successfully":[53],"solved.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"comparison":[61],"several":[63],"ensemble":[64],"applied":[68],"recently":[71],"acquired":[72],"dataset":[73],"small":[75],"medium-sized":[77],"enterprises":[78],"operating":[79],"Slovak":[82],"Republic.":[83],"The":[84],"highest":[85],"achieved":[86],"accuracy":[88],"proposed":[91],"classification":[92],"models,":[93],"measured":[94],"by":[95],"geometric":[96],"mean,":[97],"some":[100],"cases":[101],"almost":[102],"100%.":[103],"Results":[104],"are":[105],"validated":[106],"three":[108],"from":[110],"different":[111],"business":[112],"areas,":[113],"namely":[114],"agriculture,":[115],"construction":[116],"retails.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
