{"id":"https://openalex.org/W2143160378","doi":"https://doi.org/10.3233/ida-2009-0354","title":"The ROC isometrics approach to construct reliable classifiers","display_name":"The ROC isometrics approach to construct reliable classifiers","publication_year":2009,"publication_date":"2009-02-23","ids":{"openalex":"https://openalex.org/W2143160378","doi":"https://doi.org/10.3233/ida-2009-0354","mag":"2143160378"},"language":"en","primary_location":{"id":"doi:10.3233/ida-2009-0354","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2009-0354","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2066/77313","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028196881","display_name":"Stijn Vanderlooy","orcid":null},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Stijn Vanderlooy","raw_affiliation_strings":["MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands","(Correspd. E-mail: s.vanderlooy@micc.unimaas.nl) MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"(Correspd. E-mail: s.vanderlooy@micc.unimaas.nl) MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045036409","display_name":"I.G. Sprinkhuizen-Kuyper","orcid":"https://orcid.org/0000-0003-0273-9354"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ida G. Sprinkhuizen-Kuyper","raw_affiliation_strings":["NICI, Radboud University Nijmegen, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"NICI, Radboud University Nijmegen, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101780661","display_name":"Evgueni Smirnov","orcid":"https://orcid.org/0000-0003-2778-6042"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Evgueni N. Smirnov","raw_affiliation_strings":["MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands","MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands#TAB#","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054345881","display_name":"H.J. van den Herik","orcid":"https://orcid.org/0000-0001-9751-761X"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"H. Jaap van den Herik","raw_affiliation_strings":["MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands","MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"MICC, Universiteit Maastricht, P.O. Box 616, 6200 MD, Maastricht, The Netherlands#TAB#","institution_ids":["https://openalex.org/I34352273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028196881"],"corresponding_institution_ids":["https://openalex.org/I34352273"],"apc_list":null,"apc_paid":null,"fwci":3.4894,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93143301,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"1","first_page":"3","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"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/construct","display_name":"Construct (python library)","score":0.60799640417099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5232985615730286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4937501847743988},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38611900806427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36318910121917725}],"concepts":[{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.60799640417099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5232985615730286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4937501847743988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38611900806427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36318910121917725},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3233/ida-2009-0354","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2009-0354","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire_cris_publications/eea50e94-1f1e-4160-9c11-4081043e852d","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/eea50e94-1f1e-4160-9c11-4081043e852d","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vanderlooy, S, Sprinkhuizen-Kuyper, I G, Smirnov, E N & van den Herik, H J 2009, 'The ROC isometrics approach to construct reliable classifiers', Intelligent Data Analysis, vol. 13, no. 1, pp. 3-37. https://doi.org/10.3233/IDA-2009-0354","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/77313","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/77313","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article / Letter to editor"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/77313","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/77313","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Intelligent Data Analysis, 13, 3 - 37","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/77313","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/77313","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Intelligent Data Analysis, 13, 3 - 37","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W127280148","https://openalex.org/W167016754","https://openalex.org/W203696055","https://openalex.org/W218853445","https://openalex.org/W1514907448","https://openalex.org/W1521843029","https://openalex.org/W1524761913","https://openalex.org/W1526484476","https://openalex.org/W1531420166","https://openalex.org/W1597852916","https://openalex.org/W1652955026","https://openalex.org/W1838291615","https://openalex.org/W1970488621","https://openalex.org/W1983762227","https://openalex.org/W1987099836","https://openalex.org/W1992993479","https://openalex.org/W2009212393","https://openalex.org/W2011101028","https://openalex.org/W2033326122","https://openalex.org/W2050957715","https://openalex.org/W2084812512","https://openalex.org/W2092509431","https://openalex.org/W2096942889","https://openalex.org/W2097366995","https://openalex.org/W2098824882","https://openalex.org/W2105187789","https://openalex.org/W2111233787","https://openalex.org/W2114968414","https://openalex.org/W2118377301","https://openalex.org/W2122111042","https://openalex.org/W2124265506","https://openalex.org/W2140785063","https://openalex.org/W2143017915","https://openalex.org/W2144542078","https://openalex.org/W2147947791","https://openalex.org/W2149421722","https://openalex.org/W2158292827","https://openalex.org/W2170913656","https://openalex.org/W2404077489","https://openalex.org/W2910223338","https://openalex.org/W2912744730","https://openalex.org/W2915023700","https://openalex.org/W2949703874","https://openalex.org/W3096199536","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W2033914206","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,32],"problem":[3],"of":[4],"applying":[5],"machine-learning":[6],"classifiers":[7,23],"in":[8],"domains":[9,18],"where":[10],"incorrect":[11],"classifications":[12],"have":[13],"severe":[14],"consequences.":[15],"In":[16],"these":[17],"we":[19],"propose":[20],"to":[21],"apply":[22],"only":[24],"when":[25],"their":[26],"performance":[27],"can":[28],"be":[29],"defined":[30],"by":[31],"domain":[33],"expert":[34],"prio":[35]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
