{"id":"https://openalex.org/W4235063816","doi":"https://doi.org/10.1109/icpr.2004.1334542","title":"A consistency-based model selection for one-class classification","display_name":"A consistency-based model selection for one-class classification","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4235063816","doi":"https://doi.org/10.1109/icpr.2004.1334542"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334542","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001295629","display_name":"David M. J. Tax","orcid":"https://orcid.org/0000-0002-5153-9087"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"D.M.J. Tax","raw_affiliation_strings":["Delft University of Technnology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112005638","display_name":"K. M\u00fcller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K.-R. Muller","raw_affiliation_strings":["Fraunhofer FIRST (IDA), Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer FIRST (IDA), Berlin, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"363","last_page":"366 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9902999997138977,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9814000129699707,"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/classifier","display_name":"Classifier (UML)","score":0.7755389213562012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7206327319145203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6870428323745728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6175268292427063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45897263288497925},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4222545325756073},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41444170475006104}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7755389213562012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7206327319145203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870428323745728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6175268292427063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45897263288497925},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4222545325756073},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41444170475006104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334542","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":13,"referenced_works":["https://openalex.org/W1488833649","https://openalex.org/W1622922661","https://openalex.org/W1968114652","https://openalex.org/W1999345637","https://openalex.org/W2067129409","https://openalex.org/W2076118331","https://openalex.org/W2100816322","https://openalex.org/W2126652588","https://openalex.org/W2137572914","https://openalex.org/W2155653793","https://openalex.org/W6636686524","https://openalex.org/W6678767255","https://openalex.org/W6680590307"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W2368454205","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313"],"abstract_inverted_index":{"Model":[0],"selection":[1,14],"in":[2,18],"unsupervised":[3],"learning":[4],"is":[5,22,38,45],"a":[6,12],"hard":[7],"problem.":[8,34],"In":[9],"this":[10],"paper,":[11],"simple":[13],"criterion":[15],"for":[16],"hyper-parameters":[17],"one-class":[19,33],"classifiers":[20],"(OCCs)":[21],"proposed.":[23],"It":[24],"makes":[25],"use":[26],"of":[27,31,42,75],"the":[28,32,40,43,48,53,58,69,73,76],"particular":[29],"structure":[30],"The":[35],"mean":[36],"idea":[37],"that":[39],"complexity":[41],"classifier":[44,49],"increased":[46],"until":[47],"becomes":[50],"inconsistent":[51],"on":[52,68],"target":[54],"class.":[55],"This":[56],"defines":[57],"most":[59],"complex":[60],"classifier,":[61],"which":[62],"can":[63],"still":[64],"reliably":[65],"be":[66],"trained":[67],"data.":[70],"Experiments":[71],"indicated":[72],"usefulness":[74],"approach.":[77]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
