{"id":"https://openalex.org/W2572767459","doi":"https://doi.org/10.1109/tcyb.2017.2651114","title":"Progressive Semisupervised Learning of Multiple Classifiers","display_name":"Progressive Semisupervised Learning of Multiple Classifiers","publication_year":2017,"publication_date":"2017-01-19","ids":{"openalex":"https://openalex.org/W2572767459","doi":"https://doi.org/10.1109/tcyb.2017.2651114","mag":"2572767459","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113355"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2017.2651114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2651114","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/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"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":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Southern University of Science and Technology"],"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":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022547077","display_name":"Ye L\u00fc","orcid":"https://orcid.org/0000-0001-9054-2644"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"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":"Ye Lu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Southern University of Science and Technology"],"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":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"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":"Jun Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Southern University of Science and Technology"],"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":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045562050","display_name":"Jane You","orcid":"https://orcid.org/0000-0002-8181-4836"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jane You","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong","Department of computing"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of computing","institution_ids":[]}]},{"author_position":"middle","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","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"]},{"raw_affiliation_string":"City University of Hong Kong [Hong Kong]","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077683686","display_name":"Yide Wang","orcid":"https://orcid.org/0000-0002-1461-2003"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yide Wang","raw_affiliation_strings":["\u00c9cole Polytechnique de l\u2019universit\u00e9 de Nantes, Nantes, France","Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique de l\u2019universit\u00e9 de Nantes, Nantes, France","institution_ids":["https://openalex.org/I97188460","https://openalex.org/I142476485"]},{"raw_affiliation_string":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","institution_ids":["https://openalex.org/I4210100151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682155","display_name":"Guoqiang Han","orcid":"https://orcid.org/0000-0002-9687-3900"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"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":"Guoqiang Han","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Southern University of Science and Technology"],"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":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100701158"],"corresponding_institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":7.4772,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.97634181,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"48","issue":"2","first_page":"689","last_page":"702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9984999895095825,"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/T12676","display_name":"Machine Learning and ELM","score":0.9984999895095825,"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":0.9983000159263611,"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":0.9976999759674072,"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/machine-learning","display_name":"Machine learning","score":0.7574994564056396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7548227310180664},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.7404088973999023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985538005828857},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6321843862533569},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6204671263694763},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.599309504032135},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5366714596748352},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.47744256258010864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42031145095825195},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.41427692770957947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13941168785095215},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12847474217414856}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7574994564056396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7548227310180664},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7404088973999023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985538005828857},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6321843862533569},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6204671263694763},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.599309504032135},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5366714596748352},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.47744256258010864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42031145095825195},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.41427692770957947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13941168785095215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12847474217414856},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tcyb.2017.2651114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2651114","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:28113355","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113355","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},{"id":"pmh:oai:HAL:hal-01456978v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01456978","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Cybernetics, 2018, 48 (2), pp.689-702. &#x27E8;10.1109/TCYB.2017.2651114&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/78537","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/78537","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1165421551","display_name":null,"funder_award_id":"G-YM05","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G1882584383","display_name":null,"funder_award_id":"G-YN39","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G5033022664","display_name":null,"funder_award_id":"61502173","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/G7397064272","display_name":null,"funder_award_id":"7004674","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G8927398668","display_name":null,"funder_award_id":"61472145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"},{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":108,"referenced_works":["https://openalex.org/W745184511","https://openalex.org/W1473009882","https://openalex.org/W1479807131","https://openalex.org/W1569369678","https://openalex.org/W1664825283","https://openalex.org/W1802379304","https://openalex.org/W1827987276","https://openalex.org/W1857785566","https://openalex.org/W1919721856","https://openalex.org/W1930089100","https://openalex.org/W1964832275","https://openalex.org/W1965450189","https://openalex.org/W1966949944","https://openalex.org/W1970387193","https://openalex.org/W1974758710","https://openalex.org/W1977617632","https://openalex.org/W1978982221","https://openalex.org/W1984701370","https://openalex.org/W1987839426","https://openalex.org/W1990334093","https://openalex.org/W1995918092","https://openalex.org/W1997996331","https://openalex.org/W1999077402","https://openalex.org/W2001289057","https://openalex.org/W2004670864","https://openalex.org/W2005482365","https://openalex.org/W2012844989","https://openalex.org/W2013032791","https://openalex.org/W2017735937","https://openalex.org/W2019288156","https://openalex.org/W2019863495","https://openalex.org/W2021687153","https://openalex.org/W2030962165","https://openalex.org/W2033505180","https://openalex.org/W2035379061","https://openalex.org/W2042184006","https://openalex.org/W2042453128","https://openalex.org/W2043362806","https://openalex.org/W2044544672","https://openalex.org/W2044774029","https://openalex.org/W2052727801","https://openalex.org/W2055630880","https://openalex.org/W2073317919","https://openalex.org/W2073678701","https://openalex.org/W2074435087","https://openalex.org/W2076365336","https://openalex.org/W2079359777","https://openalex.org/W2086178513","https://openalex.org/W2087424554","https://openalex.org/W2094490861","https://openalex.org/W2097028728","https://openalex.org/W2098708659","https://openalex.org/W2099984621","https://openalex.org/W2104290444","https://openalex.org/W2105268089","https://openalex.org/W2106401878","https://openalex.org/W2109566206","https://openalex.org/W2118314245","https://openalex.org/W2119991813","https://openalex.org/W2121757144","https://openalex.org/W2124325819","https://openalex.org/W2128030160","https://openalex.org/W2131153761","https://openalex.org/W2133556223","https://openalex.org/W2135076825","https://openalex.org/W2136504847","https://openalex.org/W2138958060","https://openalex.org/W2143645984","https://openalex.org/W2145376937","https://openalex.org/W2146407312","https://openalex.org/W2149623757","https://openalex.org/W2149907817","https://openalex.org/W2150200997","https://openalex.org/W2155977075","https://openalex.org/W2157392811","https://openalex.org/W2157911873","https://openalex.org/W2158404716","https://openalex.org/W2160338239","https://openalex.org/W2160437295","https://openalex.org/W2161498107","https://openalex.org/W2166868131","https://openalex.org/W2170607218","https://openalex.org/W2171837816","https://openalex.org/W2206110027","https://openalex.org/W2262682506","https://openalex.org/W2288807527","https://openalex.org/W2328968948","https://openalex.org/W2358843920","https://openalex.org/W2416590358","https://openalex.org/W2462401346","https://openalex.org/W2470446127","https://openalex.org/W2471764118","https://openalex.org/W2508497007","https://openalex.org/W2518002381","https://openalex.org/W2528144111","https://openalex.org/W2553884582","https://openalex.org/W2997701990","https://openalex.org/W3018189936","https://openalex.org/W3120740533","https://openalex.org/W6637179743","https://openalex.org/W6641431189","https://openalex.org/W6674750291","https://openalex.org/W6675747103","https://openalex.org/W6677619615","https://openalex.org/W6680140577","https://openalex.org/W6683372225","https://openalex.org/W6726284885","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2007593166","https://openalex.org/W2143234973","https://openalex.org/W2386063599"],"abstract_inverted_index":{"Semisupervised":[0],"learning":[1,20,67,91,151,170],"methods":[2,152],"are":[3,131],"often":[4],"adopted":[5],"to":[6,48,53,70,106,133,146],"handle":[7,76],"datasets":[8,36,77,162],"with":[9,37,78,87],"very":[10,79],"small":[11,80],"number":[12,81],"of":[13,27,82,110,143,166,179,191],"labeled":[14,83],"samples.":[15,84],"However,":[16],"conventional":[17],"semisupervised":[18,65,89,149],"ensemble":[19,66,90,150],"approaches":[21,187],"have":[22],"two":[23,97],"limitations:":[24],"1)":[25,99],"most":[26,178],"them":[28],"cannot":[29],"obtain":[30],"satisfactory":[31],"results":[32,158],"on":[33,159,177,188],"high":[34],"dimensional":[35],"limited":[38],"labels":[39],"and":[40,75,116,124,183],"2)":[41,117],"they":[42],"usually":[43],"do":[44],"not":[45],"consider":[46],"how":[47],"use":[49,140],"an":[50],"optimization":[51],"process":[52,123,130],"enlarge":[54,134],"the":[55,63,72,102,108,111,114,135,164,180],"training":[56,120,136],"set.":[57,137],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"progressive":[64,119],"approach":[68],"(PSEMISEL)":[69],"address":[71],"above":[73],"limitations":[74],"When":[85],"compared":[86],"traditional":[88],"approaches,":[92],"PSEMISEL":[93,174],"is":[94],"characterized":[95],"by":[96],"properties:":[98],"it":[100],"adopts":[101],"random":[103],"subspace":[104],"technique":[105],"investigate":[107],"structure":[109],"dataset":[112],"in":[113],"subspaces":[115],"a":[118,125,141],"set":[121,142],"generation":[122],"self":[126],"evolutionary":[127],"sample":[128],"selection":[129],"proposed":[132],"We":[138],"also":[139],"nonparametric":[144],"tests":[145],"compare":[147],"different":[148],"over":[153],"multiple":[154],"datasets.":[155,193],"The":[156],"experimental":[157],"18":[160,192],"real-world":[161,181],"from":[163],"University":[165],"California,":[167],"Irvine":[168],"machine":[169],"repository":[171],"show":[172],"that":[173],"works":[175],"well":[176],"datasets,":[182],"outperforms":[184],"other":[185],"state-of-the-art":[186],"10":[189],"out":[190]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
