{"id":"https://openalex.org/W2031333988","doi":"https://doi.org/10.1109/ciel.2013.6613139","title":"Accuracy and diversity in classifier selection for one-class classification ensembles","display_name":"Accuracy and diversity in classifier selection for one-class classification ensembles","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2031333988","doi":"https://doi.org/10.1109/ciel.2013.6613139","mag":"2031333988"},"language":"en","primary_location":{"id":"doi:10.1109/ciel.2013.6613139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciel.2013.6613139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL)","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/A5054879396","display_name":"Bartosz Krawczyk","orcid":"https://orcid.org/0000-0002-9774-0106"},"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"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bartosz Krawczyk","raw_affiliation_strings":["Department of Systems and Computer Networks, Wroc\u0142aw University of Technology, Wroclaw, Poland","Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol. Wroclaw, Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroc\u0142aw University of Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol. Wroclaw, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"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"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Wozniak","raw_affiliation_strings":["Department of Systems and Computer Networks, Wroc\u0142aw University of Technology, Wroclaw, Poland","Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol. Wroclaw, Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Networks, Wroc\u0142aw University of Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol. Wroclaw, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054879396"],"corresponding_institution_ids":["https://openalex.org/I11923345"],"apc_list":null,"apc_paid":null,"fwci":2.4046,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89955073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7209","issue":null,"first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9886000156402588,"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/computer-science","display_name":"Computer science","score":0.7577882409095764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7255942821502686},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6904125213623047},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.671558678150177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6606379747390747},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.561212420463562},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4516335427761078},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43975815176963806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39642295241355896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577882409095764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7255942821502686},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6904125213623047},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.671558678150177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606379747390747},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.561212420463562},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4516335427761078},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43975815176963806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39642295241355896},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciel.2013.6613139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciel.2013.6613139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W53035228","https://openalex.org/W80095652","https://openalex.org/W152772766","https://openalex.org/W156498826","https://openalex.org/W207759300","https://openalex.org/W1498268535","https://openalex.org/W1514182922","https://openalex.org/W1676820704","https://openalex.org/W1918283942","https://openalex.org/W1934727243","https://openalex.org/W1970088130","https://openalex.org/W1981863521","https://openalex.org/W2000766290","https://openalex.org/W2012611697","https://openalex.org/W2018822866","https://openalex.org/W2051013124","https://openalex.org/W2083911205","https://openalex.org/W2109596254","https://openalex.org/W2113242816","https://openalex.org/W2123098109","https://openalex.org/W2150706391","https://openalex.org/W2151554678","https://openalex.org/W2170981964","https://openalex.org/W2172135569","https://openalex.org/W4240338048","https://openalex.org/W6608467915","https://openalex.org/W6630666109","https://openalex.org/W6637266410"],"related_works":["https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W2346511343"],"abstract_inverted_index":{"One-class":[0],"classification":[1],"is":[2,104,131],"one":[3,118],"of":[4,12,78,95,109,126,157,169,175],"the":[5,10,42,67,86,93,107,154,158,173],"most":[6],"challenging":[7],"topics":[8],"in":[9,51,69],"field":[11],"machine":[13],"learning.":[14],"Recently":[15],"creating":[16],"Multiple":[17],"Classifier":[18],"Systems":[19],"for":[20,115,122],"this":[21],"task":[22],"has":[23],"proven":[24],"itself":[25],"as":[26],"a":[27,33,47,57,71,82,110,123,167],"promising":[28],"research":[29],"direction.":[30],"Here":[31],"arises":[32],"problem":[34],"on":[35,166],"how":[36],"to":[37,41,62,66,134,151],"select":[38],"valuable":[39],"members":[40],"committee":[43,68],"-":[44],"so":[45],"far":[46],"largely":[48],"unexplored":[49],"area":[50],"one-class":[52,159],"classification.":[53],"This":[54,103],"paper":[55],"introduced":[56],"novel":[58],"approach":[59],"that":[60,73,113,179],"allows":[61,114],"choose":[63],"appropriate":[64],"models":[65,80],"such":[70],"way":[72],"assures":[74],"both":[75,96],"high":[76,83],"accuracy":[77],"individual":[79],"and":[81,137,178],"diversity":[84,146],"among":[85],"pool":[87],"members.":[88],"We":[89],"aim":[90],"at":[91],"preventing":[92],"selection":[94],"too":[97,100],"weak":[98],"or":[99],"similar":[101],"models.":[102],"achieved":[105],"with":[106],"usage":[108],"multi-objective":[111],"optimization":[112],"more":[116],"than":[117,141],"criterion":[119],"while":[120],"searching":[121],"good":[124],"combination":[125],"predictors.":[127],"A":[128],"memetic":[129],"algorithm":[130],"applied":[132],"due":[133],"its":[135],"efficiency":[136],"less":[138],"random":[139],"behavior":[140],"traditional":[142,182],"genetic":[143],"algorithm.":[144],"Used":[145],"measures":[147],"are":[148],"designed":[149],"specially":[150],"fully":[152],"exploit":[153],"specific":[155],"nature":[156],"classifiers":[160],"under":[161],"consideration.":[162],"Experimental":[163],"results":[164],"carried":[165],"number":[168],"benchmark":[170],"datasets":[171],"proves":[172],"quality":[174],"our":[176],"method":[177],"it":[180],"outperforms":[181],"single-objective":[183],"approaches.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}