{"id":"https://openalex.org/W4244415346","doi":"https://doi.org/10.1109/iccp53602.2021.9733693","title":"Feature Selection via Genetic Multiobjective Optimization with Fuzzy Rejection Mechanisms","display_name":"Feature Selection via Genetic Multiobjective Optimization with Fuzzy Rejection Mechanisms","publication_year":2021,"publication_date":"2021-10-28","ids":{"openalex":"https://openalex.org/W4244415346","doi":"https://doi.org/10.1109/iccp53602.2021.9733693"},"language":"en","primary_location":{"id":"doi:10.1109/iccp53602.2021.9733693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp53602.2021.9733693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5085809956","display_name":"Corina C\u00eempanu","orcid":"https://orcid.org/0000-0002-8792-5115"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Corina Cimpanu","raw_affiliation_strings":["Gheorghe Asachi Technical University of Ia&#x0219;i,Faculty of Automatic Control and Computer Engineering,Ia&#x0219;i,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gheorghe Asachi Technical University of Ia&#x0219;i,Faculty of Automatic Control and Computer Engineering,Ia&#x0219;i,Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085283008","display_name":"Lavinia Ferariu","orcid":"https://orcid.org/0000-0001-5758-6696"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Lavinia Ferariu","raw_affiliation_strings":["Gheorghe Asachi Technical University of Ia&#x0219;i,Faculty of Automatic Control and Computer Engineering,Ia&#x0219;i,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gheorghe Asachi Technical University of Ia&#x0219;i,Faculty of Automatic Control and Computer Engineering,Ia&#x0219;i,Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025571469","display_name":"Tiberius Dumitriu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Tiberius Dumitriu","raw_affiliation_strings":["Gheorghe Asachi Technical University of Ia&#x0219;i,Faculty of Automatic Control and Computer Engineering,Ia&#x0219;i,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gheorghe Asachi Technical University of Ia&#x0219;i,Faculty of Automatic Control and Computer Engineering,Ia&#x0219;i,Romania","institution_ids":["https://openalex.org/I4210108695"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52699351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"437","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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":0.7043702602386475},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6552489995956421},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6382988691329956},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6088314056396484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5945684909820557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.590647280216217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5679665803909302},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5181764364242554},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5050197243690491},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4603417217731476},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4161134362220764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.384708046913147},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3572779893875122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2522190809249878}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7043702602386475},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6552489995956421},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6382988691329956},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6088314056396484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945684909820557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.590647280216217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5679665803909302},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5181764364242554},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5050197243690491},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4603417217731476},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4161134362220764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.384708046913147},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3572779893875122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2522190809249878},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp53602.2021.9733693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp53602.2021.9733693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2027814467","https://openalex.org/W2137721565","https://openalex.org/W2176865601","https://openalex.org/W2493993915","https://openalex.org/W2513975684","https://openalex.org/W2564411225","https://openalex.org/W2744170594","https://openalex.org/W2898880098","https://openalex.org/W3003453726","https://openalex.org/W3043942984","https://openalex.org/W3151715958"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W3004057759","https://openalex.org/W2889085215","https://openalex.org/W2914806737","https://openalex.org/W2998216295","https://openalex.org/W33196642","https://openalex.org/W2611743072","https://openalex.org/W3204182506","https://openalex.org/W2128479019","https://openalex.org/W2162698597"],"abstract_inverted_index":{"In":[0],"pattern":[1],"identification,":[2],"embedded":[3],"Feature":[4],"Selection":[5],"(FS)":[6],"determines":[7],"a":[8,29,99,134,158,167,202],"detailed":[9],"data":[10,64],"description":[11],"and":[12,15,58,62,78,106,119,166,201,214],"an":[13,76],"efficient":[14,79],"accurate":[16,77],"classification.":[17],"Most":[18],"Genetic":[19],"Algorithm":[20],"(GA)":[21],"based":[22,89],"optimization":[23],"procedures":[24,38,152],"tackle":[25],"the":[26,50,115,120,126,183,189,194],"minimization":[27],"of":[28,34,60,81,98,117,122,128,162,171],"classifier's":[30],"error":[31],"rate.":[32],"Independent":[33],"how":[35],"feature":[36,154],"selection":[37,155],"are":[39,156],"configured,":[40],"either":[41],"in":[42],"Single":[43],"(SOO)":[44],"or":[45,181],"Multi-Objective":[46],"Optimization":[47],"(MOO)":[48],"manners,":[49],"major":[51],"problem":[52,195],"with":[53,208],"all":[54],"classifiers":[55,192],"is":[56,146],"multidimensionality":[57],"quantity":[59],"redundant":[61],"noisy":[63],"recordings.":[65],"This":[66],"paper":[67],"compares":[68],"six":[69],"GA-based":[70],"optimizations":[71],"as":[72],"viable":[73],"solutions":[74],"for":[75,138,143,153],"assessment":[80],"working":[82],"memory":[83],"load":[84],"levels":[85],"during":[86],"arithmetic":[87],"computations":[88],"on":[90],"Electroencephalogram":[91],"(EEG)":[92],"data.":[93],"An":[94],"objective":[95,112],"layout":[96],"analysis":[97],"randomly":[100],"generated":[101],"population":[102],"motivates":[103],"both":[104],"SOO":[105,132],"MOO":[107,144,151,159,177],"further":[108],"explorations.":[109],"The":[110,130,141],"single":[111],"error-based":[113],"optimization,":[114],"aggregation":[116],"error,":[118],"number":[121],"selected":[123],"features":[124,185],"illustrate":[125],"limitations":[127],"SOOs.":[129],"third":[131],"incorporates":[133],"fuzzy":[135],"rejection":[136],"mechanism":[137,213],"unnecessary":[139],"features.":[140],"baseline":[142],"comparison":[145,212],"Deb's":[147],"NSGA.":[148],"Two":[149,191],"new":[150,176],"proposed:":[157],"Fuzzy":[160,168],"Rejection":[161],"Irrelevant":[163,172],"Features":[164,173],"(MOO-FRIF)":[165],"Progressive":[169],"Deletion":[170],"(MOO-FPDIF).":[174],"Both":[175],"approaches":[178],"gradually":[179],"eliminate":[180],"discourage":[182],"EEG":[184],"that":[186],"negatively":[187],"influence":[188],"classifier.":[190],"address":[193],"distinctively,":[196],"namely":[197],"Random":[198],"Forests":[199],"(RF)":[200],"multi-class":[203],"Support":[204],"Vector":[205],"Machine":[206],"(SVM)":[207],"one":[209,211],"vs.":[210],"RBF":[215],"kernel.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
