{"id":"https://openalex.org/W2952448206","doi":"https://doi.org/10.1109/tnnls.2019.2913673","title":"Radial-Based Oversampling for Multiclass Imbalanced Data Classification","display_name":"Radial-Based Oversampling for Multiclass Imbalanced Data Classification","publication_year":2019,"publication_date":"2019-06-21","ids":{"openalex":"https://openalex.org/W2952448206","doi":"https://doi.org/10.1109/tnnls.2019.2913673","mag":"2952448206","pmid":"https://pubmed.ncbi.nlm.nih.gov/31247563"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2913673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2913673","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5054879396","display_name":"Bartosz Krawczyk","orcid":"https://orcid.org/0000-0002-9774-0106"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bartosz Krawczyk","raw_affiliation_strings":["Department of Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, USA"],"raw_orcid":"https://orcid.org/0000-0002-9774-0106","affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027393953","display_name":"Micha\u0142 Koziarski","orcid":"https://orcid.org/0000-0001-7707-9640"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Koziarski","raw_affiliation_strings":["Department of Electronics, AGH University of Science and Technology, Krak\u00f3w, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, AGH University of Science and Technology, Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060936121","display_name":"Micha\u0142 Wo\u017aniak","orcid":"https://orcid.org/0000-0003-0146-4205"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Wozniak","raw_affiliation_strings":["Department of Systems and Computer Networks, Wroc\u0142aw University of Science and Technology, Wroc\u0142aw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-0146-4205","affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroc\u0142aw University of Science and Technology, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9364,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.9811114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"31","issue":"8","first_page":"2818","last_page":"2831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9422000050544739,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.9828710556030273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6928086280822754},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.6721461415290833},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6523342132568359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471379995346069},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6282808780670166},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5837382674217224},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5336426496505737},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.5034391283988953},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47034934163093567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41017842292785645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33239948749542236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23121541738510132},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14505773782730103}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9828710556030273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6928086280822754},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.6721461415290833},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6523342132568359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471379995346069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6282808780670166},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5837382674217224},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5336426496505737},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5034391283988953},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47034934163093567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41017842292785645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33239948749542236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23121541738510132},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14505773782730103},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2913673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2913673","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:31247563","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31247563","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8053692976","display_name":null,"funder_award_id":"UMO-2015/19/B/ST6/01597","funder_id":"https://openalex.org/F4320322511","funder_display_name":"Narodowe Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322511","display_name":"Narodowe Centrum Nauki","ror":"https://ror.org/03ha2q922"},{"id":"https://openalex.org/F4320326815","display_name":"Infrastruktura PL-Grid","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W68536248","https://openalex.org/W85350352","https://openalex.org/W88102734","https://openalex.org/W608314793","https://openalex.org/W1100975233","https://openalex.org/W1496056137","https://openalex.org/W1591261915","https://openalex.org/W1864224110","https://openalex.org/W2024223694","https://openalex.org/W2028138594","https://openalex.org/W2038705219","https://openalex.org/W2055271333","https://openalex.org/W2104933073","https://openalex.org/W2106053110","https://openalex.org/W2107686700","https://openalex.org/W2119191234","https://openalex.org/W2124710650","https://openalex.org/W2132791018","https://openalex.org/W2136256517","https://openalex.org/W2148143831","https://openalex.org/W2164341120","https://openalex.org/W2165466912","https://openalex.org/W2167464971","https://openalex.org/W2182722412","https://openalex.org/W2185967890","https://openalex.org/W2186634523","https://openalex.org/W2189812566","https://openalex.org/W2300921526","https://openalex.org/W2338318698","https://openalex.org/W2395350663","https://openalex.org/W2409438660","https://openalex.org/W2490420619","https://openalex.org/W2550538833","https://openalex.org/W2562741369","https://openalex.org/W2567669303","https://openalex.org/W2587314106","https://openalex.org/W2604968786","https://openalex.org/W2606464395","https://openalex.org/W2736435690","https://openalex.org/W2751084232","https://openalex.org/W2753047523","https://openalex.org/W2763110968","https://openalex.org/W2763619424","https://openalex.org/W2765177294","https://openalex.org/W2783151797","https://openalex.org/W2794290001","https://openalex.org/W2907754184","https://openalex.org/W2914361121","https://openalex.org/W2964050365","https://openalex.org/W4243367342","https://openalex.org/W4245055982","https://openalex.org/W6603460400","https://openalex.org/W6635474240","https://openalex.org/W6675634716","https://openalex.org/W6675751002","https://openalex.org/W6679745481","https://openalex.org/W6736057215"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W198251434","https://openalex.org/W4312933423"],"abstract_inverted_index":{"Learning":[0],"from":[1,98,191,209],"imbalanced":[2,211],"data":[3,40,150],"is":[4,24,121,134,165],"among":[5,58],"the":[6,11,16,56,101,127,130,154,162,168,194,205],"most":[7],"popular":[8],"topics":[9],"in":[10,21,84],"contemporary":[12],"machine":[13],"learning.":[14],"However,":[15],"vast":[17],"majority":[18],"of":[19,55,80,100,117,129,156,161,170,193,207],"attention":[20],"this":[22,61],"field":[23],"given":[25],"to":[26,74,104],"binary":[27],"problems,":[28],"while":[29],"their":[30],"much":[31],"more":[32],"difficult":[33,149],"multiclass":[34,65,75,106,210],"counterparts":[35],"are":[36],"relatively":[37],"unexplored.":[38],"Handling":[39],"sets":[41],"with":[42,148,176],"multiple":[43],"skewed":[44],"classes":[45,195],"poses":[46],"various":[47],"challenges":[48],"and":[49,152,174,196],"calls":[50],"for":[51,88],"a":[52,69,141,177,198],"better":[53],"understanding":[54],"relationship":[57],"classes.":[59],"In":[60],"paper,":[62],"we":[63,139,201],"propose":[64],"radial-based":[66],"oversampling":[67,107,143],"(MC-RBO),":[68],"novel":[70],"data-sampling":[71],"algorithm":[72,164],"dedicated":[73],"problems.":[76],"The":[77,115,159],"main":[78],"novelty":[79],"our":[81],"method":[82],"lies":[83],"using":[85],"potential":[86],"functions":[87],"generating":[89],"artificial":[90,118],"instances.":[91],"We":[92],"take":[93],"into":[94,187],"account":[95,188],"information":[96,189],"coming":[97,190],"all":[99,192],"classes,":[102],"contrary":[103],"existing":[105,157],"approaches":[108],"that":[109,145,184],"use":[110],"only":[111],"minority":[112],"class":[113,132],"characteristics.":[114],"process":[116,206],"instance":[119],"generation":[120],"guided":[122],"by":[123,185],"exploring":[124],"areas":[125],"where":[126],"value":[128],"mutual":[131],"distribution":[133],"very":[135],"small.":[136],"This":[137],"way,":[138],"ensure":[140],"smart":[142,199],"procedure":[144],"can":[146,202],"cope":[147],"distributions":[151],"alleviate":[153],"shortcomings":[155],"methods.":[158],"usefulness":[160],"MC-RBO":[163],"evaluated":[166],"on":[167],"basis":[169],"extensive":[171],"experimental":[172],"study":[173],"backed-up":[175],"thorough":[178],"statistical":[179],"analysis.":[180],"Obtained":[181],"results":[182],"show":[183],"taking":[186],"conducting":[197],"oversampling,":[200],"significantly":[203],"improve":[204],"learning":[208],"data.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}