{"id":"https://openalex.org/W1848549407","doi":"https://doi.org/10.1080/00207721.2015.1074762","title":"MSEBAG: a dynamic classifier ensemble generation based on \u2018minimum-sufficient ensemble' and bagging","display_name":"MSEBAG: a dynamic classifier ensemble generation based on \u2018minimum-sufficient ensemble' and bagging","publication_year":2015,"publication_date":"2015-08-11","ids":{"openalex":"https://openalex.org/W1848549407","doi":"https://doi.org/10.1080/00207721.2015.1074762","mag":"1848549407"},"language":"en","primary_location":{"id":"doi:10.1080/00207721.2015.1074762","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2015.1074762","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-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/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318050","display_name":"Mohamed S. Kamel","orcid":"https://orcid.org/0000-0001-6173-8082"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed S. Kamel","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada]","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100333516"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.03205046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"47","issue":"2","first_page":"406","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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":0.9988999962806702,"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/T11652","display_name":"Imbalanced Data Classification Techniques","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/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6844041347503662},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6619932651519775},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5804221630096436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5591868162155151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55915766954422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5111930966377258},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4673357903957367},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.45497608184814453},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.442840039730072},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.43550994992256165},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4204273819923401},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3469666540622711},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3206208348274231},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.12638187408447266}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6844041347503662},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6619932651519775},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5804221630096436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5591868162155151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55915766954422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5111930966377258},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4673357903957367},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.45497608184814453},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.442840039730072},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.43550994992256165},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4204273819923401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3469666540622711},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3206208348274231},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.12638187408447266},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/00207721.2015.1074762","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2015.1074762","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tsysxx:v:47:y:2016:i:2:p:406-419","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207721.2015.1074762","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-97933","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-97933","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-97933","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-97933","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W15277881","https://openalex.org/W1480376833","https://openalex.org/W1491458120","https://openalex.org/W1506281249","https://openalex.org/W1534477342","https://openalex.org/W1554944419","https://openalex.org/W1984879178","https://openalex.org/W1988664775","https://openalex.org/W2000329903","https://openalex.org/W2003212134","https://openalex.org/W2006904655","https://openalex.org/W2016648380","https://openalex.org/W2034018567","https://openalex.org/W2034489756","https://openalex.org/W2039260438","https://openalex.org/W2042053856","https://openalex.org/W2043112836","https://openalex.org/W2061881231","https://openalex.org/W2063320116","https://openalex.org/W2065813866","https://openalex.org/W2068911452","https://openalex.org/W2070084467","https://openalex.org/W2084597006","https://openalex.org/W2088592169","https://openalex.org/W2088965486","https://openalex.org/W2089340591","https://openalex.org/W2098154993","https://openalex.org/W2113242816","https://openalex.org/W2126297944","https://openalex.org/W2145940431","https://openalex.org/W2158275940","https://openalex.org/W2164568552","https://openalex.org/W2165335390","https://openalex.org/W2171752105","https://openalex.org/W3085162807","https://openalex.org/W4244494905","https://openalex.org/W4297792979","https://openalex.org/W4297957988"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W2052615004","https://openalex.org/W2073883415","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2652414671","https://openalex.org/W2188759683","https://openalex.org/W4281917970","https://openalex.org/W4317376680","https://openalex.org/W3080944905"],"abstract_inverted_index":{"In":[0,40],"this":[1,135],"paper,":[2],"we":[3],"propose":[4],"a":[5,36,69,77,86,91,100,124,144],"dynamic":[6],"classifier":[7],"system,":[8],"MSEBAG,":[9],"which":[10,51,147],"is":[11,73,83,132],"characterised":[12],"by":[13],"searching":[14],"for":[15,47,114,134,139],"the":[16,22,41,48,53,57,66,95,104,109,112,115,129,140,152,156,159,164,167,172,180,184],"\u2018minimum-sufficient":[17,49,67],"ensemble\u2019":[18],"and":[19,29,32,155,162],"bagging":[20],"at":[21,128],"ensemble":[23,130],"level.":[24],"It":[25],"adopts":[26],"an":[27],"\u2018over-generation":[28],"selection\u2019":[30],"strategy":[31],"aims":[33],"to":[34,75,84,170],"achieve":[35],"good":[37],"bias\u2013variance":[38],"trade-off.":[39],"training":[42],"phase,":[43],"MSEBAG":[44,106,182],"first":[45],"searches":[46,138],"ensemble\u2019,":[50,68],"maximises":[52],"in-sample":[54,153],"fitness":[55,93,154],"with":[56,90],"minimal":[58],"number":[59],"of":[60,79,88,158,166],"base":[61],"classifiers.":[62],"Then,":[63],"starting":[64],"from":[65,111],"backward":[70],"stepwise":[71],"algorithm":[72,126],"employed":[74,133],"generate":[76],"collection":[78,87,113],"ensembles.":[80],"The":[81,118,175],"objective":[82],"create":[85],"ensembles":[89,110,142,169],"descending":[92,101],"on":[94,186],"data,":[96],"as":[97,99],"well":[98],"complexity":[102],"in":[103],"structure.":[105],"dynamically":[107],"selects":[108],"decision":[116],"aggregation.":[117],"extended":[119],"adaptive":[120],"aggregation":[121],"(EAA)":[122],"approach,":[123],"bagging-style":[125],"performed":[127],"level,":[131],"task.":[136],"EAA":[137],"competent":[141],"using":[143],"score":[145],"function,":[146],"takes":[148],"into":[149],"consideration":[150],"both":[151],"confidence":[157],"statistical":[160],"inference,":[161],"averages":[163],"decisions":[165],"selected":[168],"label":[171],"test":[173],"pattern.":[174],"experimental":[176],"results":[177],"show":[178],"that":[179],"proposed":[181],"outperforms":[183],"benchmarks":[185],"average.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}