{"id":"https://openalex.org/W2895386374","doi":"https://doi.org/10.1109/tnnls.2018.2869298","title":"Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality","display_name":"Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2895386374","doi":"https://doi.org/10.1109/tnnls.2018.2869298","mag":"2895386374","pmid":"https://pubmed.ncbi.nlm.nih.gov/30281494"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2869298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2869298","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/A5101966587","display_name":"Shounak Datta","orcid":"https://orcid.org/0000-0003-3774-556X"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shounak Datta","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"raw_orcid":"https://orcid.org/0000-0003-3774-556X","affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000078546","display_name":"Swagatam Das","orcid":"https://orcid.org/0000-0001-6843-4508"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swagatam Das","raw_affiliation_strings":["Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"],"raw_orcid":"https://orcid.org/0000-0001-6843-4508","affiliations":[{"raw_affiliation_string":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.886,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.94790755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"30","issue":"5","first_page":"1602","last_page":"1608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9803000092506409,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9753999710083008,"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/support-vector-machine","display_name":"Support vector machine","score":0.7233455181121826},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.7161110043525696},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5958547592163086},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5751947164535522},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.528704047203064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5208004713058472},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5012426376342773},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4727519452571869},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.46520382165908813},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4514157772064209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4413275718688965},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4171901047229767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39434993267059326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3901422321796417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09257841110229492}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7233455181121826},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.7161110043525696},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5958547592163086},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5751947164535522},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.528704047203064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5208004713058472},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5012426376342773},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4727519452571869},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.46520382165908813},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4514157772064209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4413275718688965},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4171901047229767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39434993267059326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3901422321796417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09257841110229492},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2018.2869298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2869298","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:30281494","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30281494","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":[],"funders":[{"id":"https://openalex.org/F4320327457","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079"},{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W142463596","https://openalex.org/W1100975233","https://openalex.org/W1506588750","https://openalex.org/W1548505798","https://openalex.org/W1549115915","https://openalex.org/W1551909886","https://openalex.org/W1578770954","https://openalex.org/W1585939719","https://openalex.org/W1912982817","https://openalex.org/W1965365402","https://openalex.org/W1975412991","https://openalex.org/W2011029476","https://openalex.org/W2011587419","https://openalex.org/W2018603845","https://openalex.org/W2050156339","https://openalex.org/W2088950943","https://openalex.org/W2099435377","https://openalex.org/W2116925234","https://openalex.org/W2118978333","https://openalex.org/W2119821739","https://openalex.org/W2123977051","https://openalex.org/W2126105956","https://openalex.org/W2134881335","https://openalex.org/W2143381319","https://openalex.org/W2148143831","https://openalex.org/W2148603752","https://openalex.org/W2152781642","https://openalex.org/W2181859668","https://openalex.org/W2529822342","https://openalex.org/W2536062280","https://openalex.org/W2594857575","https://openalex.org/W2764270061","https://openalex.org/W2790031975","https://openalex.org/W2794590714","https://openalex.org/W3120740533","https://openalex.org/W4239510810","https://openalex.org/W4252684946","https://openalex.org/W6603460400","https://openalex.org/W6630208708","https://openalex.org/W6632733078","https://openalex.org/W6635097213","https://openalex.org/W6641763115","https://openalex.org/W6678797503","https://openalex.org/W6679743694"],"related_works":["https://openalex.org/W2075255406","https://openalex.org/W2053717651","https://openalex.org/W2148446045","https://openalex.org/W4308721630","https://openalex.org/W2060667722","https://openalex.org/W2052210448","https://openalex.org/W2072965377","https://openalex.org/W2044586804","https://openalex.org/W4327850430","https://openalex.org/W2019296661"],"abstract_inverted_index":{"Support":[0],"vector":[1],"machines":[2],"(SVMs)":[3],"seek":[4],"to":[5,40,61,64,77,97],"optimize":[6],"three":[7],"distinct":[8],"objectives:":[9],"maximization":[10],"of":[11,14,22,31,35,43,50,68],"margin,":[12],"minimization":[13,21],"regularization":[15,23],"from":[16,24],"the":[17,25,41,44,51,106,116,120],"positive":[18],"class,":[19],"and":[20],"negative":[26],"class.":[27],"The":[28,101],"right":[29],"choice":[30],"weightage":[32],"for":[33],"each":[34],"these":[36],"objectives":[37,121],"is":[38,111],"critical":[39],"quality":[42],"classifier":[45],"learned,":[46],"especially":[47],"in":[48,88,114],"case":[49],"class":[52],"imbalanced":[53],"data":[54,86],"sets.":[55],"Therefore,":[56],"costly":[57],"parameter":[58],"tuning":[59],"has":[60],"be":[62],"undertaken":[63],"find":[65],"a":[66,89],"set":[67],"suitable":[69],"relative":[70],"weights.":[71],"In":[72],"this":[73,99],"brief,":[74],"we":[75],"propose":[76],"train":[78],"SVMs,":[79],"on":[80],"two-class":[81],"as":[82,84],"well":[83],"multiclass":[85],"sets,":[87],"multiobjective":[90],"optimization":[91],"framework":[92],"called":[93],"radial":[94,107],"boundary":[95,108],"intersection":[96],"overcome":[98],"shortcoming.":[100],"experimental":[102],"results":[103],"suggest":[104],"that":[105],"intersection-based":[109],"scheme":[110],"indeed":[112],"effective":[113],"finding":[115],"best":[117],"tradeoff":[118],"among":[119],"compared":[122],"with":[123],"parameter-tuning":[124],"schemes.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
