{"id":"https://openalex.org/W2161368845","doi":"https://doi.org/10.1109/ijcnn.2010.5596567","title":"Multiclass classifiers vs multiple binary classifiers using filters for feature selection","display_name":"Multiclass classifiers vs multiple binary classifiers using filters for feature selection","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2161368845","doi":"https://doi.org/10.1109/ijcnn.2010.5596567","mag":"2161368845"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5083520153","display_name":"Noelia S\u00e1nchez\u2010Maro\u00f1o","orcid":"https://orcid.org/0000-0003-4025-1405"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"N. Sanchez-Marono","raw_affiliation_strings":["Department of Computer Science, University of A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048207145","display_name":"Amparo Alonso\u2010Betanzos","orcid":"https://orcid.org/0000-0003-0950-0012"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. Alonso-Betanzos","raw_affiliation_strings":["Department of Computer Science, University of A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084213608","display_name":"P. Garcia-Gonzalez","orcid":null},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"P. Garcia-Gonzalez","raw_affiliation_strings":["Department of Computer Science, University of A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042436168","display_name":"Ver\u00f3nica Bol\u00f3n\u2010Canedo","orcid":"https://orcid.org/0000-0002-0524-6427"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"V. Bolon-Canedo","raw_affiliation_strings":["Department of Computer Science, University of A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3229,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.64187187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9840999841690063,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9801999926567078,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7276331186294556},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7183799147605896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6565066576004028},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6466633081436157},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6283016204833984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963550806045532},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5740025639533997},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.572783887386322},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.5076473951339722},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4892158508300781},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44131699204444885},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.4267774224281311},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36191627383232117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3349985182285309},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21948713064193726},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19757625460624695},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.06982535123825073}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7276331186294556},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7183799147605896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6565066576004028},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6466633081436157},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6283016204833984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963550806045532},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5740025639533997},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.572783887386322},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.5076473951339722},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4892158508300781},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44131699204444885},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.4267774224281311},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36191627383232117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3349985182285309},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21948713064193726},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19757625460624695},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.06982535123825073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W179179905","https://openalex.org/W1495061682","https://openalex.org/W1501800448","https://openalex.org/W1533179050","https://openalex.org/W1570448133","https://openalex.org/W1585743408","https://openalex.org/W1587178476","https://openalex.org/W1588401315","https://openalex.org/W1676820704","https://openalex.org/W2008794359","https://openalex.org/W2017337590","https://openalex.org/W2041282815","https://openalex.org/W2099841076","https://openalex.org/W2103333826","https://openalex.org/W2115870505","https://openalex.org/W2116079122","https://openalex.org/W2125055259","https://openalex.org/W2132549764","https://openalex.org/W2164862312","https://openalex.org/W2169038408","https://openalex.org/W2973651390","https://openalex.org/W3210025089","https://openalex.org/W4205699531","https://openalex.org/W4247128285","https://openalex.org/W4285719527","https://openalex.org/W6635046684","https://openalex.org/W6635310694","https://openalex.org/W6675969814"],"related_works":["https://openalex.org/W2943247777","https://openalex.org/W2740543340","https://openalex.org/W2371167013","https://openalex.org/W1582340598","https://openalex.org/W1541021634","https://openalex.org/W2779867339","https://openalex.org/W2794545997","https://openalex.org/W2584980534","https://openalex.org/W2182731056","https://openalex.org/W2403605920"],"abstract_inverted_index":{"There":[0],"are":[1,38,117],"two":[2,77],"classical":[3,55],"approaches":[4,111],"for":[5,61,90,134],"dealing":[6],"with":[7,18,100,155],"multiple":[8,26,67,114,165],"class":[9,68],"data":[10,69,166],"sets:":[11],"a":[12,66,121,126,132,142,175],"classifier":[13,143],"that":[14,57],"can":[15,58],"deal":[16],"directly":[17],"them,":[19],"or":[20],"alternatively,":[21],"dividing":[22],"the":[23,35,48,53,76,92,152,172,178,185],"problem":[24],"into":[25],"binary":[27,63,96,115],"sub-problems.":[28],"While":[29],"studies":[30,46],"on":[31,184],"feature":[32,135,158],"selection":[33,136],"using":[34,120],"first":[36],"approach":[37],"relatively":[39],"frequent":[40],"in":[41,81],"scientific":[42],"literature,":[43],"very":[44],"few":[45],"employ":[47],"latter":[49],"one.":[50],"Out":[51],"of":[52,94,151,171],"four":[54,85],"methods":[56,87,138,180],"be":[59],"employed":[60,80],"generating":[62],"problems":[64],"from":[65],"set":[70],"(random,":[71],"exhaustive,":[72],"one-vs-one":[73],"and":[74,104,113,141,156,174,181],"one-vs-rest),":[75],"last":[78],"were":[79,88,130,139,146,160],"this":[82,108],"work.":[83],"Besides,":[84],"different":[86,129,149,164],"used":[89],"joining":[91],"results":[93,173],"these":[95],"classifiers":[97,145],"(sum,":[98],"sum":[99],"threshold,":[101],"Hamming":[102],"distance":[103],"loss-based":[105],"function).":[106],"In":[107],"paper,":[109],"both":[110],"(multiclass":[112],"classifiers),":[116],"carried":[118,188],"out":[119],"combination":[122],"method":[123],"composed":[124],"by":[125],"discretizer":[127],"(two":[128,137,144],"employed),":[131],"filter":[133],"chosen),":[140],"tested).":[147],"The":[148],"combinations":[150],"previous":[153],"methods,":[154],"without":[157],"selection,":[159],"tested":[161],"over":[162],"21":[163],"sets.":[167],"An":[168],"exhaustive":[169],"study":[170],"comparison":[176],"between":[177],"described":[179],"some":[182],"others":[183],"literature":[186],"is":[187],"out.":[189]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}