{"id":"https://openalex.org/W4367146301","doi":"https://doi.org/10.1109/csicc58665.2023.10105330","title":"A Fuzzy Integral Approach for Ensembling Unsupervised Feature Selection Algorithms","display_name":"A Fuzzy Integral Approach for Ensembling Unsupervised Feature Selection Algorithms","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4367146301","doi":"https://doi.org/10.1109/csicc58665.2023.10105330"},"language":"en","primary_location":{"id":"doi:10.1109/csicc58665.2023.10105330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc58665.2023.10105330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Computer Conference, Computer Society of Iran (CSICC)","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/A5006725818","display_name":"Amin Hashemi","orcid":"https://orcid.org/0000-0001-8019-1721"},"institutions":[{"id":"https://openalex.org/I3123046734","display_name":"Lorestan University","ror":"https://ror.org/051bats05","country_code":"IR","type":"education","lineage":["https://openalex.org/I3123046734"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Amin Hashemi","raw_affiliation_strings":["Lorestan University,Faculty of Engineering,Department of Computer Engineering,Khorramabad,Iran","Department of Computer Engineering, Faculty of Engineering, Lorestan University, Khorramabad, Iran"],"affiliations":[{"raw_affiliation_string":"Lorestan University,Faculty of Engineering,Department of Computer Engineering,Khorramabad,Iran","institution_ids":["https://openalex.org/I3123046734"]},{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Lorestan University, Khorramabad, Iran","institution_ids":["https://openalex.org/I3123046734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006811562","display_name":"Mohammad Bagher Dowlatshahi","orcid":"https://orcid.org/0000-0002-4862-0626"},"institutions":[{"id":"https://openalex.org/I3123046734","display_name":"Lorestan University","ror":"https://ror.org/051bats05","country_code":"IR","type":"education","lineage":["https://openalex.org/I3123046734"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Bagher Dowlatshahi","raw_affiliation_strings":["Lorestan University,Faculty of Engineering,Department of Computer Engineering,Khorramabad,Iran","Department of Computer Engineering, Faculty of Engineering, Lorestan University, Khorramabad, Iran"],"affiliations":[{"raw_affiliation_string":"Lorestan University,Faculty of Engineering,Department of Computer Engineering,Khorramabad,Iran","institution_ids":["https://openalex.org/I3123046734"]},{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Lorestan University, Khorramabad, Iran","institution_ids":["https://openalex.org/I3123046734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006725818"],"corresponding_institution_ids":["https://openalex.org/I3123046734"],"apc_list":null,"apc_paid":null,"fwci":0.4913,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63518762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"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/T10057","display_name":"Face and Expression Recognition","score":0.9837999939918518,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9837999939918518,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9829000234603882,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9725000262260437,"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":0.8421509265899658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956658363342285},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6795135736465454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6534044742584229},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6408094763755798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5506986975669861},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5463793873786926},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49339237809181213},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4682553708553314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4520473778247833},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4361416697502136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4230248034000397},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4162364602088928}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8421509265899658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956658363342285},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6795135736465454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6534044742584229},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6408094763755798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5506986975669861},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5463793873786926},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49339237809181213},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4682553708553314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4520473778247833},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4361416697502136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4230248034000397},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4162364602088928},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csicc58665.2023.10105330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc58665.2023.10105330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Computer Conference, Computer Society of Iran (CSICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2113449438","https://openalex.org/W2121410881","https://openalex.org/W2553747326","https://openalex.org/W2787225914","https://openalex.org/W2788471974","https://openalex.org/W2911627187","https://openalex.org/W2925507233","https://openalex.org/W2930181195","https://openalex.org/W2963891399","https://openalex.org/W3162614041","https://openalex.org/W3169524228","https://openalex.org/W3186962463","https://openalex.org/W3200340827","https://openalex.org/W4224266666","https://openalex.org/W4224287392","https://openalex.org/W4224297664","https://openalex.org/W4245596367","https://openalex.org/W4281480124","https://openalex.org/W4281491145","https://openalex.org/W4282016903","https://openalex.org/W4289341947","https://openalex.org/W4294218543","https://openalex.org/W4295886337","https://openalex.org/W4307647698"],"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/W20047544","https://openalex.org/W3089231081"],"abstract_inverted_index":{"Feature":[0],"selection":[1,44,57,72],"is":[2,45,59],"an":[3,49],"effective":[4],"technique":[5],"for":[6],"decreasing":[7],"data":[8],"dimensionality":[9],"by":[10],"selecting":[11],"a":[12,40],"significant":[13],"feature":[14,43,56,71],"set.":[15],"Gathering":[16],"label":[17],"information":[18],"can":[19],"be":[20],"time-consuming":[21],"and":[22,94],"expensive,":[23],"as":[24],"labeled":[25],"instances":[26],"are":[27,67,88],"not":[28],"always":[29],"available.":[30],"Therefore,":[31],"unsupervised":[32,42],"learning":[33],"importance":[34],"has":[35],"emerged.":[36],"In":[37],"this":[38],"article,":[39],"new":[41],"presented":[46],"based":[47,90],"on":[48,91],"ensemble":[50,53],"strategy.":[51],"The":[52,65],"of":[54,82],"multiple":[55],"methods":[58,73],"performed":[60],"using":[61],"fuzzy":[62],"integral":[63],"operators.":[64],"comparisons":[66,87],"made":[68],"against":[69],"various":[70],"in":[74],"the":[75,79,83],"literature":[76],"to":[77],"show":[78],"better":[80],"performance":[81],"proposed":[84],"method.":[85],"These":[86],"conducted":[89],"classification":[92],"accuracy":[93],"run-time.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
