{"id":"https://openalex.org/W1662118192","doi":"https://doi.org/10.1109/ijcnn.2015.7280594","title":"META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach","display_name":"META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1662118192","doi":"https://doi.org/10.1109/ijcnn.2015.7280594","mag":"1662118192"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","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/A5019553116","display_name":"Rafael M. O. Cruz","orcid":"https://orcid.org/0000-0001-9446-1040"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Rafael M. O. Cruz","raw_affiliation_strings":["Ecole de technologie superieure, Universite du Quebec","\u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Ecole de technologie superieure, Universite du Quebec","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"\u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada#TAB#","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026340083","display_name":"Robert Sabourin","orcid":"https://orcid.org/0000-0002-9098-1011"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Sabourin","raw_affiliation_strings":["Ecole de technologie superieure, Universite du Quebec","\u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Ecole de technologie superieure, Universite du Quebec","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"\u00c9cole de Technologie Sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Canada#TAB#","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084140678","display_name":"George D. C. Cavalcanti","orcid":"https://orcid.org/0000-0001-7714-2283"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"George D. C. Cavalcanti","raw_affiliation_strings":["Centro de Informatica, Universidade Federal de Pernambuco","Centro de Inform\u00e1tica, Universidade Federal de Pernambuco,Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Informatica, Universidade Federal de Pernambuco","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco,Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019553116"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":6.2313,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96356943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9962000250816345,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962000250816345,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.992900013923645,"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":0.9639000296592712,"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/classifier","display_name":"Classifier (UML)","score":0.775823175907135},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7381136417388916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305636405944824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6808081865310669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6285361051559448},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.5344509482383728},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5331553220748901},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4959944188594818},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.4388279318809509},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.41269081830978394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34289419651031494}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.775823175907135},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7381136417388916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305636405944824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808081865310669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6285361051559448},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.5344509482383728},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5331553220748901},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4959944188594818},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.4388279318809509},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.41269081830978394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34289419651031494},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:11715","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/11715/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G5079005330","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320313977","display_name":"\u00c9cole de technologie sup\u00e9rieure","ror":"https://ror.org/0020snb74"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320323678","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Ci\u00eancia e Tecnologia do Estado de Pernambuco","ror":"https://ror.org/02te5rf52"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1974758710","https://openalex.org/W1984879178","https://openalex.org/W1985995090","https://openalex.org/W1988844742","https://openalex.org/W2016375676","https://openalex.org/W2042053856","https://openalex.org/W2054002339","https://openalex.org/W2062349655","https://openalex.org/W2097048139","https://openalex.org/W2098154993","https://openalex.org/W2106525823","https://openalex.org/W2114091915","https://openalex.org/W2122352257","https://openalex.org/W2131415284","https://openalex.org/W2136648196","https://openalex.org/W2145940431","https://openalex.org/W2150884987","https://openalex.org/W2158275940","https://openalex.org/W2182722412","https://openalex.org/W2487087946","https://openalex.org/W2912934387","https://openalex.org/W2998768810","https://openalex.org/W3099820857","https://openalex.org/W3104225115","https://openalex.org/W3120740533","https://openalex.org/W4212883601","https://openalex.org/W6633774736"],"related_works":["https://openalex.org/W2046975922","https://openalex.org/W1933712933","https://openalex.org/W2057416691","https://openalex.org/W4256395896","https://openalex.org/W2968660735","https://openalex.org/W2245276335","https://openalex.org/W1760344465","https://openalex.org/W2913388591","https://openalex.org/W2083259201","https://openalex.org/W2104246955"],"abstract_inverted_index":{"In":[0,43,69,83,123,139],"Dynamic":[1,163,177],"Ensemble":[2],"Selection":[3],"(DES)":[4],"techniques,":[5],"only":[6,166],"the":[7,20,29,39,70,73,80,84,87,92,113,130,136,140,149,152,155,167,180,183,189,192,198,218,226,229,257,265,269],"most":[8,40,219],"competent":[9,41,116,220],"classifiers":[10,76,168,196,221,231],"are":[11,89,161,175,200,232,246],"selected":[12,230],"to":[13,27,37,45,97,104,118,129,236],"classify":[14,119],"a":[15,35,52,99,109,171,209,240],"given":[16],"query":[17],"sample.":[18],"Hence,":[19],"key":[21],"issue":[22],"in":[23,34,188,197,212,234,239,260,271],"DES":[24],"is":[25,64,77,102,115,222],"how":[26],"estimate":[28],"competence":[30,173,184],"of":[31,75,135,151,185,194,206,228,268],"each":[32,186],"classifier":[33,111,187],"pool":[36,74,114,199],"select":[38],"ones.":[42],"order":[44,235],"deal":[46],"with":[47,217],"this":[48,124,261],"issue,":[49],"we":[50,126,143],"proposed":[51,259],"novel":[53],"dynamic":[54],"ensemble":[55,216],"selection":[56],"framework":[57,63],"using":[58,91],"meta-learning,":[59],"called":[60],"META-DES.":[61],"The":[62],"divided":[65],"into":[66],"three":[67,158],"steps.":[68],"first":[71,214],"step,":[72],"generated":[78],"from":[79,112],"training":[81,93,131,141,150],"data.":[82],"second":[85],"phase":[86,134],"meta-features":[88],"computed":[90],"data":[94],"and":[95,132,191,208],"used":[96,238],"train":[98],"meta-classifier":[100,181],"that":[101,169,256],"able":[103],"predict":[105],"whether":[106],"or":[107],"not":[108],"base":[110],"enough":[117],"an":[120,215],"input":[121],"instance.":[122],"paper,":[125],"propose":[127],"improvements":[128],"generalization":[133,156],"META-DES":[137],"framework.":[138],"phase,":[142,157],"evaluate":[144],"four":[145],"different":[146],"algorithms":[147],"for":[148],"meta-classifier.":[153],"For":[154],"combination":[159],"approaches":[160],"evaluated:":[162],"selection,":[164],"where":[165,179],"attain":[170],"certain":[172],"level":[174,205],"selected;":[176],"weighting,":[178],"estimates":[182],"pool,":[190],"outputs":[193],"all":[195],"weighted":[201,241],"based":[202],"on":[203,249],"their":[204],"competence;":[207],"hybrid":[210],"approach,":[211],"which":[213,225],"selected,":[223],"after":[224],"weights":[227],"estimated":[233],"be":[237],"majority":[242],"voting":[243],"scheme.":[244],"Experiments":[245],"carried":[247],"out":[248],"30":[250],"classification":[251],"datasets.":[252,273],"Experimental":[253],"results":[254],"demonstrate":[255],"changes":[258],"paper":[262],"significantly":[263],"improve":[264],"recognition":[266],"accuracy":[267],"system":[270],"several":[272]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}