{"id":"https://openalex.org/W4385819907","doi":"https://doi.org/10.1109/access.2023.3304912","title":"Dynamic Ensemble Algorithm Post-Selection Using Hardness-Aware Oracle","display_name":"Dynamic Ensemble Algorithm Post-Selection Using Hardness-Aware Oracle","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385819907","doi":"https://doi.org/10.1109/access.2023.3304912"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3304912","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3304912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10215507.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10215507.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005213258","display_name":"Paulo R. G. Cordeiro","orcid":"https://orcid.org/0000-0002-2828-6704"},"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":true,"raw_author_name":"Paulo R. G. Cordeiro","raw_affiliation_strings":["Centro de Informática, Federal University of Pernambuco, Recife, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2828-6704","affiliations":[{"raw_affiliation_string":"Centro de Informática, Federal University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","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 Informática, Federal University of Pernambuco, Recife, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7714-2283","affiliations":[{"raw_affiliation_string":"Centro de Informática, Federal University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","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":false,"raw_author_name":"Rafael M. O. Cruz","raw_affiliation_strings":["Software Engineering Department, École de Technologie Supérieure, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering Department, École de Technologie Supérieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005213258"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3481,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84628131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"86056","last_page":"86070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996399998664856,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9940000176429749,"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/oracle","display_name":"Oracle","score":0.8046773672103882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7939203977584839},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5923205018043518},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5662134289741516},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5335040092468262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5219551920890808},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.51311194896698},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49311086535453796},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4862886369228363},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4673597812652588},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4634983241558075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4131503999233246},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21066004037857056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18410205841064453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15074008703231812}],"concepts":[{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.8046773672103882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939203977584839},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5923205018043518},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5662134289741516},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5335040092468262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5219551920890808},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.51311194896698},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49311086535453796},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4862886369228363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4673597812652588},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4634983241558075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4131503999233246},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21066004037857056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18410205841064453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15074008703231812},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3304912","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3304912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10215507.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c270704ea9b34e9c8cb64b4ccdd6ea89","is_oa":true,"landing_page_url":"https://doaj.org/article/c270704ea9b34e9c8cb64b4ccdd6ea89","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 86056-86070 (2023)","raw_type":"article"},{"id":"pmh:oai:espace2.etsmtl.ca:27639","is_oa":false,"landing_page_url":null,"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":"Article publi\u00e9 dans une revue, r\u00e9vis\u00e9 par les pairs"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3304912","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3304912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10215507.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313977","display_name":"\u00c9cole de technologie sup\u00e9rieure","ror":"https://ror.org/0020snb74"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"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/F4320324901","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24"},{"id":"https://openalex.org/F4320324902","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385819907.pdf","grobid_xml":"https://content.openalex.org/works/W4385819907.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1652465939","https://openalex.org/W1800056794","https://openalex.org/W1966455875","https://openalex.org/W2016375676","https://openalex.org/W2063782798","https://openalex.org/W2101234009","https://openalex.org/W2115629999","https://openalex.org/W2132971529","https://openalex.org/W2145940431","https://openalex.org/W2157124852","https://openalex.org/W2158275940","https://openalex.org/W2160767978","https://openalex.org/W2234236208","https://openalex.org/W2729784024","https://openalex.org/W2734997742","https://openalex.org/W2755371172","https://openalex.org/W2766453073","https://openalex.org/W2796440329","https://openalex.org/W2805766156","https://openalex.org/W2892679931","https://openalex.org/W2892816441","https://openalex.org/W2924079745","https://openalex.org/W2950533047","https://openalex.org/W2985980583","https://openalex.org/W3005846742","https://openalex.org/W3008399030","https://openalex.org/W3021965991","https://openalex.org/W3087735403","https://openalex.org/W3093970936","https://openalex.org/W3113020622","https://openalex.org/W3120740533","https://openalex.org/W3122451732","https://openalex.org/W3133604446","https://openalex.org/W3173023457","https://openalex.org/W4200346240","https://openalex.org/W4212883601","https://openalex.org/W4248018214","https://openalex.org/W4294723731","https://openalex.org/W6637358919","https://openalex.org/W6675354045","https://openalex.org/W6745010858","https://openalex.org/W6748140149"],"related_works":["https://openalex.org/W2073713056","https://openalex.org/W3110702597","https://openalex.org/W2734997742","https://openalex.org/W2099182244","https://openalex.org/W1580150424","https://openalex.org/W2325482571","https://openalex.org/W4241032203","https://openalex.org/W2127236386","https://openalex.org/W2294552197","https://openalex.org/W2118299301"],"abstract_inverted_index":{"Dynamic":[0,58],"Ensemble":[1,59],"Selection":[2,60],"(DES)":[3],"algorithms":[4],"have":[5],"obtained":[6],"better":[7],"performance":[8,160],"in":[9,33,107,119,139,202,207],"many":[10],"tasks":[11],"compared":[12],"to":[13,23,145,162],"monolithic":[14],"classifiers":[15,106,132],"and":[16,69,136,141,155,168],"static":[17],"ensembles.":[18],"However,":[19],"it":[20],"is":[21,29,81],"reasonable":[22],"assume":[24],"that":[25,62,176],"no":[26],"DES":[27,73,78,100,150,188,205],"algorithm":[28],"the":[30,71,93,105,108,115,120,164,185,199],"optimal":[31],"solution":[32],"different":[34,208],"scenarios":[35],"since":[36],"diversity":[37],"plays":[38],"an":[39],"important":[40],"role.":[41],"Thus,":[42],"this":[43,46],"paper":[44],"addresses":[45],"research":[47],"gap":[48],"by":[49,97],"proposing":[50],"a":[51,65,84,99],"novel":[52],"approach":[53,178],"called":[54,87],"Hardness-aware":[55,88],"Oracle":[56,89,95],"with":[57,114,148],"(HaO-DES)":[61],"operates":[63],"as":[64],"post-selection":[66],"strategy,":[67],"evaluating":[68],"selecting":[70],"best":[72],"techniques":[74,206],"per":[75],"instance.":[76],"Each":[77],"technique":[79,101],"ensemble":[80,110],"evaluated":[82],"using":[83,129],"new":[85],"measure":[86],"(HaO).":[90],"HaO":[91],"extends":[92],"traditional":[94,121],"concept":[96],"assessing":[98],"based":[102],"on":[103],"how":[104],"selected":[109],"work":[111],"together,":[112],"contrasting":[113],"individual":[116,187],"classifier":[117],"evaluation":[118],"assessment.":[122],"We":[123,157,196],"performed":[124],"experiments":[125],"over":[126],"30":[127],"databases,":[128],"three":[130,159],"base":[131],"(Perceptron,":[133],"Logistic":[134],"Regression,":[135],"Naive":[137],"Bayes)":[138],"homogeneous":[140],"heterogenous":[142],"pools\u2019":[143],"configurations,":[144],"assess":[146],"HaO-DES":[147,200],"four":[149,186],"approaches":[151],"(KNORA-U,":[152],"KNOP,":[153],"DES-P,":[154],"META-DES).":[156],"use":[158],"metrics":[161],"evaluate":[163],"experiments:":[165],"accuracy,":[166],"F-score,":[167],"Matthews":[169],"Correlation":[170],"Coefficient":[171],"(MCC).":[172],"The":[173],"results":[174,183],"show":[175],"our":[177],"outperforms":[179],"or":[180],"obtains":[181],"similar":[182],"against":[184],"approaches,":[189],"mainly":[190],"when":[191],"considering":[192],"heterogeneous":[193],"pool":[194],"settings.":[195],"also":[197],"demonstrated":[198],"efficiency":[201],"choosing":[203],"suitable":[204],"situations.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}