{"id":"https://openalex.org/W2897695276","doi":"https://doi.org/10.1109/ijcnn.2018.8489162","title":"Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers","display_name":"Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897695276","doi":"https://doi.org/10.1109/ijcnn.2018.8489162","mag":"2897695276"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013505077","display_name":"Carine A. Dantas","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carine A. Dantas","raw_affiliation_strings":["Informatics and Applied Mathematics Department - DIMAp, Federal University of Rio Grande do Norte - UFRN Natal, Natal, RN, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatics and Applied Mathematics Department - DIMAp, Federal University of Rio Grande do Norte - UFRN Natal, Natal, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090789671","display_name":"Romulo de O. Nunes","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Romulo de O. Nunes","raw_affiliation_strings":["Informatics and Applied Mathematics Department - DIMAp, Federal University of Rio Grande do Norte - UFRN Natal, Natal, RN, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatics and Applied Mathematics Department - DIMAp, Federal University of Rio Grande do Norte - UFRN Natal, Natal, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019144108","display_name":"Anne M. P. Canuto","orcid":"https://orcid.org/0000-0002-3684-3814"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Anne. M. P. Canuto","raw_affiliation_strings":["Informatics and Applied Mathematics Department - DIMAp, Federal University of Rio Grande do Norte - UFRN Natal, Natal, RN, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatics and Applied Mathematics Department - DIMAp, Federal University of Rio Grande do Norte - UFRN Natal, Natal, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021772628","display_name":"Joao C. Xavier-Juunior","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao C. Xavier-Juunior","raw_affiliation_strings":["Universidade Federal do Rio Grande do Norte, Natal, RN, BR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Norte, Natal, RN, BR","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35046152"],"apc_list":null,"apc_paid":null,"fwci":0.1132,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41517812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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":0.992900013923645,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9912999868392944,"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/computer-science","display_name":"Computer science","score":0.7211771011352539},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7106516361236572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7057953476905823},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6697827577590942},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.574309229850769},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5488033890724182},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4836622178554535},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47749894857406616},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.22836461663246155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211771011352539},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7106516361236572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7057953476905823},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6697827577590942},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.574309229850769},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5488033890724182},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4836622178554535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47749894857406616},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.22836461663246155},{"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/ijcnn.2018.8489162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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":31,"referenced_works":["https://openalex.org/W255556494","https://openalex.org/W1534477342","https://openalex.org/W1983477144","https://openalex.org/W2016375676","https://openalex.org/W2050604187","https://openalex.org/W2062349655","https://openalex.org/W2114091915","https://openalex.org/W2116815574","https://openalex.org/W2124868070","https://openalex.org/W2145940431","https://openalex.org/W2250086655","https://openalex.org/W2409092583","https://openalex.org/W2487087946","https://openalex.org/W2553126964","https://openalex.org/W2555540888","https://openalex.org/W2586624001","https://openalex.org/W2596318830","https://openalex.org/W2724383523","https://openalex.org/W2735143291","https://openalex.org/W2755371172","https://openalex.org/W2783853393","https://openalex.org/W2949694084","https://openalex.org/W2998216295","https://openalex.org/W3124986623","https://openalex.org/W3145004415","https://openalex.org/W4232332215","https://openalex.org/W4285719527","https://openalex.org/W4292865245","https://openalex.org/W6632075054","https://openalex.org/W6730550507","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2320442256","https://openalex.org/W2052615004","https://openalex.org/W2143234973","https://openalex.org/W152772766","https://openalex.org/W2397292208","https://openalex.org/W2115571148","https://openalex.org/W1981866886","https://openalex.org/W3042449232","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"A":[0],"feature":[1,11,32,42,52,58,70,93,98,123,129,151,226],"selection":[2,26,43,99,124,152,227,233],"method":[3,66,125,228],"has":[4,44],"the":[5,9,15,38,57,61,68,104,118,127,160,224,230,236],"objective":[6,184],"of":[7,20,55,79,97,115,120,148,156,162,191,238],"selecting":[8,56],"best":[10,69,128],"subset":[12,33,59,71,130],"that":[13],"represents":[14],"entire":[16,62],"dataset.":[17],"The":[18,95],"majority":[19,237],"these":[21],"methods":[22,100,164,211],"apply":[23],"a":[24,31,64,77,122],"static":[25],"procedure,":[27],"since":[28],"it":[29,36],"selects":[30,67,126],"and":[34],"uses":[35],"throughout":[37],"classification.":[39],"Recently,":[40],"dynamic":[41,65,150,166,209,225,231],"been":[45],"emerged":[46],"as":[47],"an":[48,73,139,146,171],"efficient":[49],"alternative":[50],"for":[51,60,72,131,178,235],"selection.":[53],"Instead":[54],"dataset,":[63],"individual":[74,133],"instance":[75,86],"or":[76,87,113],"group":[78,88],"instances":[80],"and,":[81],"in":[82,106,138,154,165,169,189,193],"this":[83,142,204],"sense,":[84],"each":[85,132,179],"will":[89],"have":[90],"its":[91],"own":[92],"subset.":[94],"use":[96,161],"helps":[101],"to":[102,135,186,195,202,214],"improve":[103],"accuracy":[105],"classification":[107],"tasks,":[108],"using":[109],"either":[110],"single":[111],"classifiers":[112,192],"ensemble":[114,155,167,172,210,232],"classifiers.":[116,157],"In":[117,141,200],"context":[119],"ensembles,":[121],"classifier":[134],"be":[136,215],"used":[137],"ensemble.":[140],"paper,":[143],"we":[144],"propose":[145],"investigation":[147],"integrating":[149,223],"(DFS)":[153],"More":[158],"specifically,":[159],"DFS":[163],"methods,":[168,234],"which":[170],"structure":[173],"(individual":[174],"classifiers)":[175],"is":[176,185],"selected":[177],"testing":[180],"instance.":[181],"Our":[182,217],"main":[183],"promote":[187],"dynamicity":[188],"ensembles":[190],"order":[194,201],"obtain":[196],"more":[197],"robust":[198],"ensembles.":[199],"accomplish":[203],"investigation,":[205],"two":[206],"well":[207],"known":[208],"are":[212],"chosen":[213],"analyzed.":[216],"findings":[218],"indicated":[219],"real":[220],"benefits":[221],"when":[222],"with":[229],"cases.":[239]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
