{"id":"https://openalex.org/W2030942182","doi":"https://doi.org/10.1109/smc.2014.6973906","title":"Coalitional game-based adaboost","display_name":"Coalitional game-based adaboost","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2030942182","doi":"https://doi.org/10.1109/smc.2014.6973906","mag":"2030942182"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6973906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5081520679","display_name":"Hadjer Ykhlef","orcid":"https://orcid.org/0000-0002-7791-3321"},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hadjer Ykhlef","raw_affiliation_strings":["Department of Computer Science, University of Blida, Algeria","LRDSI Laboratory, Department of Computer Science, University of Blida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]},{"raw_affiliation_string":"LRDSI Laboratory, Department of Computer Science, University of Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012408243","display_name":"Djamel Bouchaffra","orcid":"https://orcid.org/0000-0002-9850-907X"},"institutions":[{"id":"https://openalex.org/I4210102186","display_name":"Centre de D\u00e9veloppement des Technologies Avanc\u00e9es","ror":"https://ror.org/01ay87255","country_code":"DZ","type":"facility","lineage":["https://openalex.org/I4210102186"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Djamel Bouchaffra","raw_affiliation_strings":["Division of Design and Implementation of Intelligent systems, Centre de recherche des technologies avancees, Algeria","Division of Design and Implementation of Intelligent systems, Centre de recherche des technologies avanc\u00e9es, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Design and Implementation of Intelligent systems, Centre de recherche des technologies avancees, Algeria","institution_ids":["https://openalex.org/I4210102186"]},{"raw_affiliation_string":"Division of Design and Implementation of Intelligent systems, Centre de recherche des technologies avanc\u00e9es, Algeria","institution_ids":["https://openalex.org/I4210102186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035513139","display_name":"Farid Ykhlef","orcid":null},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Farid Ykhlef","raw_affiliation_strings":["Department of Electronics, University of Blida, Algeria","LATSI Laboratory, Department of Electronics, University of Blida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]},{"raw_affiliation_string":"LATSI Laboratory, Department of Electronics, University of Blida, Algeria","institution_ids":["https://openalex.org/I83332908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58737073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"194","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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":0.9983999729156494,"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/T10320","display_name":"Neural Networks and Applications","score":0.9921000003814697,"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":0.989300012588501,"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/adaboost","display_name":"AdaBoost","score":0.904726505279541},{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.7156394720077515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6908261775970459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6270546317100525},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6245290637016296},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5791647434234619},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5379498600959778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5180442333221436},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.49666768312454224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4578183889389038},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.3966865539550781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20469236373901367},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.053723424673080444}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.904726505279541},{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.7156394720077515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908261775970459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6270546317100525},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6245290637016296},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5791647434234619},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5379498600959778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5180442333221436},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.49666768312454224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4578183889389038},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.3966865539550781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20469236373901367},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.053723424673080444},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2014.6973906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W87564900","https://openalex.org/W829547146","https://openalex.org/W1494902853","https://openalex.org/W1542101711","https://openalex.org/W1562353621","https://openalex.org/W1565746575","https://openalex.org/W1582721835","https://openalex.org/W1601787291","https://openalex.org/W1704902497","https://openalex.org/W1968904042","https://openalex.org/W1988790447","https://openalex.org/W2028794308","https://openalex.org/W2072023607","https://openalex.org/W2101457268","https://openalex.org/W2112076978","https://openalex.org/W2115629999","https://openalex.org/W2135724004","https://openalex.org/W2155181694","https://openalex.org/W2487087946","https://openalex.org/W3120740533","https://openalex.org/W4206636327","https://openalex.org/W6623468209","https://openalex.org/W6629535074","https://openalex.org/W6633774736","https://openalex.org/W6676769703","https://openalex.org/W6722226382"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"a":[5,53],"modified":[6],"Adaboost":[7,51],"algorithm,":[8],"named":[9],"CGAdaboost,":[10],"based":[11],"on":[12,37],"cooperative":[13],"game":[14,46],"theory.":[15],"The":[16],"algorithm":[17],"iteratively":[18],"estimates":[19],"the":[20,29,49],"value":[21],"or":[22],"contribution":[23],"of":[24,55],"each":[25],"weak":[26],"learner":[27],"in":[28],"classifier":[30],"ensemble":[31],"using":[32],"Shapley":[33],"value.":[34],"Experimental":[35],"results":[36],"UCI":[38],"and":[39],"Delve":[40],"Benchmark":[41],"datasets":[42],"show":[43],"that":[44],"coalitional":[45],"based-Adaboost":[47],"outperforms":[48],"original":[50],"by":[52],"margin":[54],"2.25%.":[56]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}