{"id":"https://openalex.org/W3086210036","doi":"https://doi.org/10.1109/tcyb.2020.3016048","title":"Semisupervised Multiple Choice Learning for Ensemble Classification","display_name":"Semisupervised Multiple Choice Learning for Ensemble Classification","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3086210036","doi":"https://doi.org/10.1109/tcyb.2020.3016048","mag":"3086210036","pmid":"https://pubmed.ncbi.nlm.nih.gov/32924945"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3016048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3016048","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5026657865","display_name":"Jian Zhong","orcid":"https://orcid.org/0000-0001-5756-4729"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Zhong","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101502657","display_name":"Xiangping Zeng","orcid":"https://orcid.org/0000-0001-8721-2548"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangping Zeng","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625023","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-6908-8018"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070982537","display_name":"Si Wu","orcid":"https://orcid.org/0000-0003-4022-0852"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Si Wu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660672","display_name":"Cheng Liu","orcid":"https://orcid.org/0000-0002-7204-7030"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Liu","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hau-San Wong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5026657865"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3926,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.62380226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"52","issue":"5","first_page":"3658","last_page":"3668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9955999851226807,"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/T12676","display_name":"Machine Learning and ELM","score":0.9926000237464905,"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/ensemble-learning","display_name":"Ensemble learning","score":0.7053450345993042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5836055278778076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5467594265937805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4618064761161804},{"id":"https://openalex.org/keywords/multiple-choice","display_name":"Multiple choice","score":0.43184694647789},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1597922444343567},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15131062269210815}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7053450345993042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5836055278778076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5467594265937805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4618064761161804},{"id":"https://openalex.org/C176730311","wikidata":"https://www.wikidata.org/wiki/Q867668","display_name":"Multiple choice","level":3,"score":0.43184694647789},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1597922444343567},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15131062269210815},{"id":"https://openalex.org/C3018023364","wikidata":"https://www.wikidata.org/wiki/Q425265","display_name":"Significant difference","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3016048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3016048","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:32924945","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32924945","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2677279816","display_name":null,"funder_award_id":"CityU 11300715","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G3677684130","display_name":null,"funder_award_id":"61722205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5534731291","display_name":null,"funder_award_id":"61572199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5930723989","display_name":null,"funder_award_id":"7005055","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G6579067573","display_name":null,"funder_award_id":"2016A030308013","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7611596349","display_name":null,"funder_award_id":"61751205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G861229434","display_name":null,"funder_award_id":"2020A1515010484","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W138666971","https://openalex.org/W153185079","https://openalex.org/W191001584","https://openalex.org/W1534477342","https://openalex.org/W1598764398","https://openalex.org/W1967165756","https://openalex.org/W1980264541","https://openalex.org/W1988790447","https://openalex.org/W2006793117","https://openalex.org/W2007567623","https://openalex.org/W2015437745","https://openalex.org/W2056132907","https://openalex.org/W2079359777","https://openalex.org/W2095705004","https://openalex.org/W2100128988","https://openalex.org/W2100664567","https://openalex.org/W2103560185","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2123921160","https://openalex.org/W2132392542","https://openalex.org/W2132709984","https://openalex.org/W2133556223","https://openalex.org/W2135293965","https://openalex.org/W2145376937","https://openalex.org/W2146407312","https://openalex.org/W2148985659","https://openalex.org/W2160338239","https://openalex.org/W2168046285","https://openalex.org/W2331143823","https://openalex.org/W2422305492","https://openalex.org/W2572767459","https://openalex.org/W2613763509","https://openalex.org/W2613941322","https://openalex.org/W2626446744","https://openalex.org/W2766448712","https://openalex.org/W2809841383","https://openalex.org/W2963080758","https://openalex.org/W2963558289","https://openalex.org/W2969195612","https://openalex.org/W2990231018","https://openalex.org/W3018189936","https://openalex.org/W3118608800","https://openalex.org/W4212883601","https://openalex.org/W6600213771","https://openalex.org/W6623329352","https://openalex.org/W6631190155","https://openalex.org/W6637179743","https://openalex.org/W6638183220","https://openalex.org/W6674330103","https://openalex.org/W6675038308","https://openalex.org/W6678975374","https://openalex.org/W6679154154","https://openalex.org/W6682494755","https://openalex.org/W6684191040","https://openalex.org/W6720019270","https://openalex.org/W6730042731","https://openalex.org/W6733814495","https://openalex.org/W6734641875","https://openalex.org/W6736430770","https://openalex.org/W6739716509","https://openalex.org/W6743737169","https://openalex.org/W6749097180","https://openalex.org/W6749396741","https://openalex.org/W6764051988","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Ensemble":[0],"learning":[1,27,75],"has":[2],"many":[3],"successful":[4],"applications":[5],"because":[6],"of":[7,15,101,142],"its":[8],"effectiveness":[9,139],"in":[10,83],"boosting":[11],"the":[12,51,77,84,99,118,124,138,143],"predictive":[13],"performance":[14],"classification":[16,65],"models.":[17],"In":[18],"this":[19],"article,":[20],"we":[21,109],"propose":[22],"a":[23,33,46,111],"semisupervised":[24,64],"multiple":[25,73,81,131],"choice":[26,74],"(SemiMCL)":[28],"approach":[29],"to":[30,58,94,123,136],"jointly":[31],"train":[32],"network":[34],"ensemble":[35],"on":[36,44,105,130],"partially":[37],"labeled":[38,47],"data.":[39],"Our":[40],"model":[41],"mainly":[42],"focuses":[43],"improving":[45],"data":[48,57],"assignment":[49],"among":[50],"constituent":[52,78],"networks":[53,79],"and":[54,140],"exploiting":[55],"unlabeled":[56,107],"capture":[59],"domain-specific":[60,96],"information,":[61],"such":[62],"that":[63],"can":[66],"be":[67],"effectively":[68],"facilitated.":[69],"Different":[70],"from":[71],"conventional":[72],"models,":[76],"learn":[80,95],"tasks":[82],"training":[85],"process.":[86],"Specifically,":[87],"an":[88],"auxiliary":[89],"reconstruction":[90],"task":[91],"is":[92],"included":[93],"representation.":[97],"For":[98],"purpose":[100],"performing":[102],"implicit":[103],"labeling":[104],"reliable":[106],"samples,":[108],"adopt":[110],"negative":[112],"l<sub>1</sub>":[113],"-norm":[114],"regularization":[115],"when":[116],"minimizing":[117],"conditional":[119],"entropy":[120],"with":[121],"respect":[122],"posterior":[125],"probability":[126],"distribution.":[127],"Extensive":[128],"experiments":[129],"real-world":[132],"datasets":[133],"are":[134],"conducted":[135],"verify":[137],"superiority":[141],"proposed":[144],"SemiMCL":[145],"model.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}