{"id":"https://openalex.org/W2115677012","doi":"https://doi.org/10.1109/ijcnn.2010.5596692","title":"Feature selection using ROC curves on classification problems","display_name":"Feature selection using ROC curves on classification problems","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2115677012","doi":"https://doi.org/10.1109/ijcnn.2010.5596692","mag":"2115677012"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596692","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/A5068170350","display_name":"Antonio J. Serrano-L\u00f3pez","orcid":"https://orcid.org/0000-0002-3863-8611"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Antonio J. Serrano","raw_affiliation_strings":["Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063325355","display_name":"Emilio Soria\u2010Olivas","orcid":"https://orcid.org/0000-0002-9148-8405"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Emilio Soria","raw_affiliation_strings":["Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081768850","display_name":"Jos\u00e9 D. Mart\u00edn\u2010Guerrero","orcid":"https://orcid.org/0000-0001-9378-0285"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 D. Marti\u0301n","raw_affiliation_strings":["Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rafael Magdalena","orcid":null},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Magdalena","raw_affiliation_strings":["Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042020318","display_name":"Juan G\u00f3mez\u2010Sanch\u00eds","orcid":"https://orcid.org/0000-0003-4226-3936"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Go\u0301mez","raw_affiliation_strings":["Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Electronics, University of Valencia, Doctor Moliner, 50, 46980 Burjassot, Spain","institution_ids":["https://openalex.org/I16097986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068170350"],"corresponding_institution_ids":["https://openalex.org/I16097986"],"apc_list":null,"apc_paid":null,"fwci":2.7982,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.913732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.998199999332428,"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":0.998199999332428,"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":0.9972000122070312,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9837999939918518,"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/feature-selection","display_name":"Feature selection","score":0.7865528464317322},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6680147647857666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6609092950820923},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6371434330940247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5833667516708374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5721623301506042},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5383132100105286},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5377668738365173},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5331271290779114},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5185894966125488},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5019934177398682},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4646662473678589},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3956215977668762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3240400552749634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32187432050704956}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7865528464317322},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6680147647857666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6609092950820923},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6371434330940247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5833667516708374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5721623301506042},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5383132100105286},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5377668738365173},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5331271290779114},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5185894966125488},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5019934177398682},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4646662473678589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3956215977668762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3240400552749634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32187432050704956},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596692","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1972978214","https://openalex.org/W1990534247","https://openalex.org/W2017337590","https://openalex.org/W2030415119","https://openalex.org/W2040884411","https://openalex.org/W2050741632","https://openalex.org/W2101195239","https://openalex.org/W2102150307","https://openalex.org/W2115729631","https://openalex.org/W2133864802","https://openalex.org/W2155482699","https://openalex.org/W2155653793","https://openalex.org/W2157825442","https://openalex.org/W2158698691","https://openalex.org/W2165208720","https://openalex.org/W2998216295","https://openalex.org/W3014813097","https://openalex.org/W4285719527","https://openalex.org/W6677079992","https://openalex.org/W6680007464","https://openalex.org/W6684118801","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W2970784617","https://openalex.org/W2126639667","https://openalex.org/W2217963778","https://openalex.org/W2129882004","https://openalex.org/W4303685026","https://openalex.org/W1980276147","https://openalex.org/W3187081201","https://openalex.org/W1995646291","https://openalex.org/W3048286013"],"abstract_inverted_index":{"Feature":[0],"Selection":[1],"(FS)":[2],"is":[3],"one":[4],"of":[5,17,30,52],"the":[6,15,18,27,40,49,53],"key":[7],"stages":[8],"in":[9,48],"classification":[10,54],"problems.":[11],"This":[12],"paper":[13],"proposes":[14],"use":[16],"area":[19],"under":[20],"Receiver":[21],"Operator":[22],"Characteristic":[23],"curves":[24],"to":[25,38],"measure":[26],"individual":[28],"importance":[29],"every":[31],"input":[32],"as":[33,35],"well":[34],"a":[36,44],"method":[37],"discover":[39],"variables":[41],"that":[42],"yield":[43],"statistically":[45],"significant":[46],"improvement":[47],"discrimination":[50],"power":[51],"model.":[55]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
