{"id":"https://openalex.org/W4396525659","doi":"https://doi.org/10.1109/enc60556.2023.10508674","title":"Evolutionary feature selection for imbalanced data","display_name":"Evolutionary feature selection for imbalanced data","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4396525659","doi":"https://doi.org/10.1109/enc60556.2023.10508674"},"language":"en","primary_location":{"id":"doi:10.1109/enc60556.2023.10508674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/enc60556.2023.10508674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Mexican International Conference on Computer Science (ENC)","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/A5111185745","display_name":"Claudia C. Tusell Rey","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Claudia C. Tusell Rey","raw_affiliation_strings":["Instituto Politécnico Nacional,Centro de Investigación en Computación,Ciudad de México,México"],"affiliations":[{"raw_affiliation_string":"Instituto Politécnico Nacional,Centro de Investigación en Computación,Ciudad de México,México","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104291920","display_name":"Viridiana Salinas Garc\u00eda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viridiana Salinas Garc\u00eda","raw_affiliation_strings":["Instituto Politécnico Nacional,Centro de Innovación y Desarrollo Tecnológico en Cómputo,Ciudad de México,México"],"affiliations":[{"raw_affiliation_string":"Instituto Politécnico Nacional,Centro de Innovación y Desarrollo Tecnológico en Cómputo,Ciudad de México,México","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003678045","display_name":"Yenny Villuendas-Rey","orcid":"https://orcid.org/0000-0001-9889-3924"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yenny Villuendas-Rey","raw_affiliation_strings":["Instituto Politécnico Nacional,Centro de Innovación y Desarrollo Tecnológico en Cómputo,Ciudad de México,México"],"affiliations":[{"raw_affiliation_string":"Instituto Politécnico Nacional,Centro de Innovación y Desarrollo Tecnológico en Cómputo,Ciudad de México,México","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111185745"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3461,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68959125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9901999831199646,"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":0.9901999831199646,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9776999950408936,"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":0.9700000286102295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7819540500640869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352419495582581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6651718616485596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5709477066993713},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5560666918754578},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5520315170288086},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.543917179107666},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.541827917098999},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5371239185333252},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5276992321014404},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5117466449737549},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.49215954542160034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43179500102996826},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42708027362823486},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42559242248535156},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.42440640926361084},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41336339712142944}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7819540500640869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352419495582581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6651718616485596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5709477066993713},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5560666918754578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5520315170288086},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.543917179107666},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.541827917098999},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5371239185333252},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5276992321014404},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5117466449737549},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.49215954542160034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43179500102996826},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42708027362823486},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42559242248535156},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.42440640926361084},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41336339712142944},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/enc60556.2023.10508674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/enc60556.2023.10508674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Mexican International Conference on Computer Science (ENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321694","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W968026779","https://openalex.org/W1485718738","https://openalex.org/W1508363294","https://openalex.org/W1533970595","https://openalex.org/W1881549354","https://openalex.org/W1990748933","https://openalex.org/W2103333826","https://openalex.org/W2127642031","https://openalex.org/W2163952039","https://openalex.org/W2182722412","https://openalex.org/W2768880357","https://openalex.org/W2949311145","https://openalex.org/W2971644666","https://openalex.org/W4206526996","https://openalex.org/W4288748549","https://openalex.org/W4294691580","https://openalex.org/W4312582401","https://openalex.org/W4318204734","https://openalex.org/W4320491339","https://openalex.org/W4379032487","https://openalex.org/W6675969814","https://openalex.org/W6686293579"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W2375795576","https://openalex.org/W3089231081"],"abstract_inverted_index":{"Data":[0,24],"imbalance":[1],"and":[2],"high":[3],"dimensionality":[4],"are":[5],"two":[6],"of":[7,22,32,64,79,89,104],"the":[8,23,30,62,65,77,90,96,111],"biggest":[9],"changes":[10],"in":[11,76],"machine":[12],"learning.":[13],"To":[14],"address":[15],"such":[16],"issues,":[17],"feature":[18,43,68,102],"selection":[19,44,69,103],"is":[20],"one":[21],"Mining":[25],"techniques":[26],"that":[27,93],"has":[28],"become":[29],"focus":[31],"many":[33],"research":[34],"works.":[35],"This":[36],"work":[37],"introduces":[38],"a":[39,83,87],"novel":[40],"evolutionary":[41,67,98],"hybrid":[42,97],"algorithm":[45,70],"based":[46],"on":[47],"filter":[48,74,91],"statistics":[49,75,92],"calculation.":[50],"We":[51],"conducted":[52],"an":[53],"experimental":[54],"study":[55],"over":[56],"44":[57],"imbalanced":[58,80,105],"datasets,":[59],"to":[60,109],"evaluate":[61],"performance":[63],"proposed":[66,100],"by":[71],"considering":[72],"seven":[73],"classification":[78],"data.":[81],"As":[82],"result,":[84],"we":[85],"offer":[86],"ranking":[88],"better":[94],"suit":[95],"approach":[99],"for":[101],"data,":[106],"thus":[107],"contributing":[108],"improving":[110],"Nearest":[112],"Neighbor":[113],"classifiers.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}