{"id":"https://openalex.org/W144015844","doi":"https://doi.org/10.3233/978-1-60750-676-8-303","title":"Performance Analysis of Class Noise Detection Algorithms","display_name":"Performance Analysis of Class Noise Detection Algorithms","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W144015844","doi":"https://doi.org/10.3233/978-1-60750-676-8-303","mag":"144015844"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-676-8-303","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-676-8-303","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5061270818","display_name":"Borut Sluban","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Sluban Borut","raw_affiliation_strings":["Jo\u017eef Stefan International Postgraduate School, Ljubljana, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan International Postgraduate School, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087537644","display_name":"Dragan Gamberger","orcid":"https://orcid.org/0000-0002-9008-6156"},"institutions":[{"id":"https://openalex.org/I4210123216","display_name":"Ru\u0111er Bo\u0161kovi\u0107 Institute","ror":"https://ror.org/02mw21745","country_code":"HR","type":"facility","lineage":["https://openalex.org/I4210123216"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Gamberger Dragan","raw_affiliation_strings":["Rudjer Bo\u0161kovi\u0107 Institute, Zagreb, Croatia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rudjer Bo\u0161kovi\u0107 Institute, Zagreb, Croatia#TAB#","institution_ids":["https://openalex.org/I4210123216"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lavrač Nada","orcid":null},"institutions":[{"id":"https://openalex.org/I192455894","display_name":"University of Nova Gorica","ror":"https://ror.org/00mw0tw28","country_code":"SI","type":"education","lineage":["https://openalex.org/I192455894"]},{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Lavrač Nada","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Ljubljana, Slovenia and University of Nova Gorica, Nova Gorica, Slovenia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia and University of Nova Gorica, Nova Gorica, Slovenia","institution_ids":["https://openalex.org/I192455894","https://openalex.org/I3006985408","https://openalex.org/I4210113529"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4653,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81934199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9983999729156494,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9983999729156494,"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":0.9866999983787537,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9812999963760376,"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":0.5822041034698486},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.501481294631958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4889613389968872},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4812031388282776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29747575521469116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5822041034698486},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.501481294631958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4889613389968872},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4812031388282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29747575521469116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-60750-676-8-303","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-676-8-303","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W153647241","https://openalex.org/W1481111462","https://openalex.org/W1502674064","https://openalex.org/W1564764609","https://openalex.org/W1604329830","https://openalex.org/W1632484412","https://openalex.org/W1898031563","https://openalex.org/W2034841618","https://openalex.org/W2060938887","https://openalex.org/W2061122559","https://openalex.org/W2128420091","https://openalex.org/W2128912745","https://openalex.org/W3100570787","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"In":[0],"real-world":[1],"datasets":[2],"noisy":[3,33],"instances":[4,34],"and":[5,49,95],"outliers":[6,145],"require":[7],"special":[8],"attention":[9],"of":[10,24,44,69,90,111],"domain":[11,140],"experts.":[12],"While":[13],"noise":[14,59,70,80,113,117,135],"filtering":[15,114],"algorithms":[16,56,82],"are":[17,83],"usually":[18],"used":[19],"to":[20,31,35,116,129],"improve":[21],"the":[22,42,91,99,139],"accuracy":[23],"induced":[25],"classification":[26],"models,":[27],"our":[28],"aim":[29],"is":[30],"detect":[32],"be":[36,130],"inspected":[37],"by":[38],"human":[39],"experts":[40],"in":[41,137],"phase":[43],"data":[45,47,148],"understanding,":[46],"cleaning":[48],"outlier":[50],"detection.":[51],"As":[52],"a":[53,73,88,120],"result,":[54],"new":[55],"for":[57],"explicit":[58],"detection":[60,71,81],"have":[61,124],"been":[62,125],"developed":[63],"aiming":[64],"at":[65,142],"highest":[66],"possible":[67],"precision":[68,94,103],"within":[72],"reasonable":[74],"recall":[75],"threshold.":[76],"The":[77],"best":[78],"performing":[79],"therefore":[84],"selected":[85],"based":[86],"on":[87],"variant":[89],"F-measure":[92],"combining":[93],"recall.":[96,108],"We":[97],"use":[98],"F0.5-score,":[100],"which":[101],"weights":[102],"twice":[104],"as":[105,107],"much":[106],"New":[109],"variants":[110],"ensemble":[112],"approaches":[115],"detection,":[118],"using":[119],"consensus":[121],"voting":[122],"scheme,":[123],"developed.":[126],"They":[127],"proved":[128],"significantly":[131],"better":[132],"than":[133],"elementary":[134],"filters":[136],"supporting":[138],"expert":[141],"identifying":[143],"potential":[144],"and/or":[146],"erroneous":[147],"instances.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}