{"id":"https://openalex.org/W2911849932","doi":"https://doi.org/10.1080/09540091.2019.1573418","title":"TS-WRSVM: twin structural weighted relaxed support vector machine","display_name":"TS-WRSVM: twin structural weighted relaxed support vector machine","publication_year":2019,"publication_date":"2019-02-03","ids":{"openalex":"https://openalex.org/W2911849932","doi":"https://doi.org/10.1080/09540091.2019.1573418","mag":"2911849932"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2019.1573418","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540091.2019.1573418","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5032870815","display_name":"Fatemeh Sheykh Mohammadi","orcid":"https://orcid.org/0000-0001-5483-077X"},"institutions":[{"id":"https://openalex.org/I99861883","display_name":"University of Zanjan","ror":"https://ror.org/05e34ej29","country_code":"IR","type":"education","lineage":["https://openalex.org/I99861883"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Fatemeh Sheykh Mohammadi","raw_affiliation_strings":["Department of Computer Engineering, University of Zanjan, Zanjan, Iran"],"raw_orcid":"https://orcid.org/0000-0001-5483-077X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Zanjan, Zanjan, Iran","institution_ids":["https://openalex.org/I99861883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011195605","display_name":"Ali Amiri","orcid":"https://orcid.org/0000-0003-2297-8707"},"institutions":[{"id":"https://openalex.org/I99861883","display_name":"University of Zanjan","ror":"https://ror.org/05e34ej29","country_code":"IR","type":"education","lineage":["https://openalex.org/I99861883"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Amiri","raw_affiliation_strings":["Department of Computer Engineering, University of Zanjan, Zanjan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Zanjan, Zanjan, Iran","institution_ids":["https://openalex.org/I99861883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032870815"],"corresponding_institution_ids":["https://openalex.org/I99861883"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":null,"fwci":0.7259,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77771818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"3","first_page":"215","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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/T10057","display_name":"Face and Expression Recognition","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.789682149887085},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7558371424674988},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.7484806776046753},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.72834312915802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6877704858779907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6778833270072937},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5733371376991272},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45907944440841675},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3898404836654663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3743094801902771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1344342827796936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789682149887085},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7558371424674988},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.7484806776046753},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.72834312915802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6877704858779907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6778833270072937},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5733371376991272},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45907944440841675},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3898404836654663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3743094801902771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1344342827796936},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":2,"locations":[{"id":"doi:10.1080/09540091.2019.1573418","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540091.2019.1573418","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f035ef72bede4a099bf153a4d5e32499","is_oa":false,"landing_page_url":"https://doaj.org/article/f035ef72bede4a099bf153a4d5e32499","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 31, Iss 3, Pp 215-243 (2019)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321431","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W167284613","https://openalex.org/W1506588750","https://openalex.org/W1560724230","https://openalex.org/W1570188672","https://openalex.org/W1578927465","https://openalex.org/W1605695115","https://openalex.org/W1969167633","https://openalex.org/W1974758710","https://openalex.org/W1977556410","https://openalex.org/W1994807229","https://openalex.org/W1995872006","https://openalex.org/W2000762656","https://openalex.org/W2012757283","https://openalex.org/W2016381774","https://openalex.org/W2040396531","https://openalex.org/W2044670456","https://openalex.org/W2058824296","https://openalex.org/W2064270391","https://openalex.org/W2073862345","https://openalex.org/W2091746867","https://openalex.org/W2093404847","https://openalex.org/W2093804096","https://openalex.org/W2096994080","https://openalex.org/W2099454382","https://openalex.org/W2099619800","https://openalex.org/W2102270039","https://openalex.org/W2104290444","https://openalex.org/W2116846763","https://openalex.org/W2118310471","https://openalex.org/W2119821739","https://openalex.org/W2124776405","https://openalex.org/W2141718589","https://openalex.org/W2155653793","https://openalex.org/W2156909104","https://openalex.org/W2165155277","https://openalex.org/W2170163395","https://openalex.org/W2170860445","https://openalex.org/W2413329758","https://openalex.org/W2534814571","https://openalex.org/W2591620035","https://openalex.org/W2615237916","https://openalex.org/W2751761653","https://openalex.org/W2755919596","https://openalex.org/W2912565176","https://openalex.org/W3108418035","https://openalex.org/W3144619878","https://openalex.org/W4211007335","https://openalex.org/W4235178178","https://openalex.org/W4239510810","https://openalex.org/W4241727697","https://openalex.org/W4252684946"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W2099369243","https://openalex.org/W2041399278","https://openalex.org/W2345184372","https://openalex.org/W2120008580","https://openalex.org/W4223656335","https://openalex.org/W2391157545","https://openalex.org/W2351801972","https://openalex.org/W3194539120","https://openalex.org/W2136184105"],"abstract_inverted_index":{"Classification":[0],"of":[1,25,42,53,61,74,108,120,131,141,145,164],"data":[2,13,43,48,110],"with":[3,37,71],"imbalanced":[4,47],"class":[5,106],"distributions":[6],"is":[7,18,151],"a":[8,19,32,125,128,149],"major":[9],"problem":[10],"in":[11,22,161],"the":[12,23,40,51,59,72,105,117,139,162],"mining":[14],"community.":[15],"Imbalanced":[16],"classification":[17,165],"challenging":[20],"task":[21],"presence":[24],"outliers.":[26,54],"In":[27],"this":[28],"paper,":[29],"we":[30],"propose":[31],"new":[33,109],"cost-sensitive":[34,159],"learning":[35,63,76,160],"method":[36,57,88],"regard":[38],"to":[39,103,134,153],"structure":[41],"distribution":[44],"for":[45],"classifying":[46],"and":[49,127,167],"diminishing":[50],"effect":[52],"The":[55],"proposed":[56],"combines":[58],"benefits":[60],"\u201cstructured\u201d":[62],"models":[64,77],"(such":[65,78],"as":[66,79],"structural":[67,90,118],"support":[68,82,93],"vector":[69,83,94],"machine)":[70],"advantages":[73],"\u201ccost-sensitive\u201d":[75],"weighted":[80,91],"relaxed":[81,92],"machine).":[84],"We":[85,123],"call":[86],"our":[87],"twin":[89],"machine":[95],"(TS-WRSVM).":[96],"A":[97],"TS-WRSVM":[98,150],"uses":[99],"two":[100],"nonparallel":[101],"hyperplanes":[102],"determine":[104],"label":[107],"so":[111],"that":[112,148],"each":[113,135,142],"model":[114,136],"only":[115],"considers":[116],"information":[119],"one":[121],"class.":[122,143],"allocate":[124],"weight":[126],"limited":[129],"amount":[130],"penalty-free":[132],"slack":[133],"by":[137],"considering":[138],"size":[140],"Results":[144],"experiments":[146],"indicate":[147],"superior":[152],"other":[154],"current":[155],"algorithms":[156],"based":[157],"on":[158],"areas":[163],"accuracy":[166],"computational":[168],"time.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
