{"id":"https://openalex.org/W2969065665","doi":"https://doi.org/10.1109/cec.2019.8790263","title":"Weighted-Features Construction as a Bi-level Problem","display_name":"Weighted-Features Construction as a Bi-level Problem","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2969065665","doi":"https://doi.org/10.1109/cec.2019.8790263","mag":"2969065665"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","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/A5031098581","display_name":"Marwa Hammami","orcid":null},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Marwa Hammami","raw_affiliation_strings":["SMART lab, University of Tunism, ISG-Campus, Tunisia"],"affiliations":[{"raw_affiliation_string":"SMART lab, University of Tunism, ISG-Campus, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080575230","display_name":"Slim Bechikh","orcid":"https://orcid.org/0000-0003-1378-7415"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]},{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Slim Bechikh","raw_affiliation_strings":["Kennesaw State University, USA & Anyang Normal University, China"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, USA & Anyang Normal University, China","institution_ids":["https://openalex.org/I172980758","https://openalex.org/I4210117382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101833510","display_name":"Chih\u2010Cheng Hung","orcid":"https://orcid.org/0000-0002-4020-6172"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]},{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Chih-Cheng Hung","raw_affiliation_strings":["Kennesaw State University, USA & Anyang Normal University, China"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, USA & Anyang Normal University, China","institution_ids":["https://openalex.org/I172980758","https://openalex.org/I4210117382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028612749","display_name":"Lamjed Ben Sa\u00efd","orcid":"https://orcid.org/0000-0001-9225-884X"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lamjed Ben Said","raw_affiliation_strings":["SMART lab, University of Tunism, ISG-Campus, Tunisia"],"affiliations":[{"raw_affiliation_string":"SMART lab, University of Tunism, ISG-Campus, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031098581"],"corresponding_institution_ids":["https://openalex.org/I108714496"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7798044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":null,"first_page":"1604","last_page":"1611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980999827384949,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980999827384949,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9975000023841858,"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":0.9803000092506409,"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":0.8124907612800598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7321446537971497},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6660894155502319},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.656039834022522},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6514148712158203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491864919662476},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6450067758560181},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5794380307197571},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5043708086013794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5015158653259277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4945983588695526},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.4806757867336273},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4761785864830017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4753425121307373}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8124907612800598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7321446537971497},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6660894155502319},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.656039834022522},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6514148712158203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491864919662476},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6450067758560181},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5794380307197571},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5043708086013794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5015158653259277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4945983588695526},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.4806757867336273},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4761785864830017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4753425121307373},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1486003553","https://openalex.org/W1597653328","https://openalex.org/W1989344766","https://openalex.org/W2008593255","https://openalex.org/W2013885787","https://openalex.org/W2041404167","https://openalex.org/W2055179962","https://openalex.org/W2069928051","https://openalex.org/W2096166399","https://openalex.org/W2110367804","https://openalex.org/W2115358726","https://openalex.org/W2124416069","https://openalex.org/W2124659975","https://openalex.org/W2131987814","https://openalex.org/W2135733427","https://openalex.org/W2149992809","https://openalex.org/W2155035377","https://openalex.org/W2165885026","https://openalex.org/W2237432403","https://openalex.org/W2295985801","https://openalex.org/W2343420905","https://openalex.org/W2575403987","https://openalex.org/W2588792172","https://openalex.org/W2802707468","https://openalex.org/W2883440102","https://openalex.org/W2897517127","https://openalex.org/W2993383518","https://openalex.org/W4236338840","https://openalex.org/W4408688211","https://openalex.org/W6628915204","https://openalex.org/W6648982606","https://openalex.org/W6751761229","https://openalex.org/W6753537997","https://openalex.org/W6755177241"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W2998727463","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1612029326","https://openalex.org/W1552543208","https://openalex.org/W2805829984","https://openalex.org/W2074396517","https://openalex.org/W4388573469"],"abstract_inverted_index":{"Feature":[0,28,49],"selection":[1,29,94,122],"and":[2,11,25,95,99,123,146,168],"construction":[3,50,77,98,125],"are":[4],"important":[5],"pre-processing":[6],"techniques":[7],"in":[8],"machine":[9],"learning":[10],"data":[12],"mining.":[13],"They":[14],"may":[15,51],"allow":[16],"not":[17,64],"only":[18],"dimensionality":[19],"reduction":[20],"but":[21,60],"also":[22],"classifier":[23],"accuracy":[24,157],"efficiency":[26],"improvement.":[27],"aims":[30],"at":[31],"selecting":[32],"relevant":[33],"features":[34,62,135],"from":[35],"the":[36,66,73,116,127,174],"original":[37],"feature":[38,93,97,100,121],"set,":[39],"which":[40,71],"could":[41],"be":[42],"less":[43],"informative":[44],"to":[45,114,173],"achieve":[46],"good":[47],"performance.":[48],"work":[52],"well":[53],"as":[54],"it":[55],"creates":[56],"new":[57],"highlevel":[58],"features,":[59],"these":[61],"do":[63],"have":[65],"same":[67],"degree":[68],"of":[69,75,110,129,134],"importance,":[70],"makes":[72],"use":[74],"weighted-features":[76,124],"a":[78,87],"very":[79],"challenging":[80],"topic.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"propose":[86],"bi-level":[88,117],"evolutionary":[89],"approach":[90,138],"for":[91,119,156],"efficient":[92],"simultaneous":[96],"weighting,":[101],"called":[102],"Bi-level":[103],"Weighted-Features":[104],"Construction":[105],"(BWFC).":[106],"The":[107],"basic":[108],"idea":[109],"our":[111,163],"BWFC":[112],"is":[113],"exploit":[115],"model":[118],"performing":[120],"with":[126,171],"aim":[128],"finding":[130],"an":[131],"optimal":[132],"subset":[133],"combinations.":[136],"Our":[137],"has":[139],"been":[140],"assessed":[141],"on":[142],"six":[143],"high-dimensional":[144],"datasets":[145],"compared":[147],"against":[148],"three":[149,153],"existing":[150],"approaches,":[151],"using":[152],"different":[154],"classifiers":[155],"evaluation.":[158],"Experimental":[159],"results":[160,170],"show":[161],"that":[162],"proposed":[164],"algorithm":[165],"gives":[166],"competitive":[167],"better":[169],"respect":[172],"state-of-the-art":[175],"algorithms.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
