{"id":"https://openalex.org/W4392173969","doi":"https://doi.org/10.1109/access.2024.3369919","title":"Research on Multi-Label Semi-Supervised Learning Algorithm Based on Dual Selection Criteria","display_name":"Research on Multi-Label Semi-Supervised Learning Algorithm Based on Dual Selection Criteria","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392173969","doi":"https://doi.org/10.1109/access.2024.3369919"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3369919","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3369919","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445172.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/ielx7/6287639/6514899/10445172.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090703132","display_name":"Rongxin Liu","orcid":"https://orcid.org/0009-0008-6797-667X"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongxin Liu","raw_affiliation_strings":["School of Information Science and Engineering, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070179032","display_name":"Yufang Lu","orcid":"https://orcid.org/0000-0002-9053-3104"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufang Lu","raw_affiliation_strings":["School of Information Science and Engineering, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772880","display_name":"Lei Shi","orcid":"https://orcid.org/0000-0001-8324-1333"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["School of Science, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069798353","display_name":"Shuru Tan","orcid":"https://orcid.org/0000-0003-1796-0254"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuru Tan","raw_affiliation_strings":["School of Information Science and Engineering, Guilin University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090703132"],"corresponding_institution_ids":["https://openalex.org/I38706770"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.695,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72487621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"31357","last_page":"31365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9830999970436096,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9830999970436096,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9455999732017517,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9204000234603882,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7537218332290649},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6487230062484741},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6193873882293701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5338403582572937},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4975281059741974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4815240502357483},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.44641175866127014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3833502233028412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.331716924905777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7537218332290649},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6487230062484741},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6193873882293701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5338403582572937},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4975281059741974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4815240502357483},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.44641175866127014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3833502233028412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.331716924905777},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3369919","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3369919","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445172.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:ceb045f805184fb6ae8bc24db825147e","is_oa":true,"landing_page_url":"https://doaj.org/article/ceb045f805184fb6ae8bc24db825147e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 31357-31365 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3369919","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3369919","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445172.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":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2340423047","display_name":null,"funder_award_id":"2022GXNSFAA035584","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392173969.pdf","grobid_xml":"https://content.openalex.org/works/W4392173969.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1892074770","https://openalex.org/W2111008470","https://openalex.org/W2134604967","https://openalex.org/W2566720494","https://openalex.org/W2609724507","https://openalex.org/W2611632661","https://openalex.org/W2743493499","https://openalex.org/W2759102768","https://openalex.org/W2783129721","https://openalex.org/W2894746109","https://openalex.org/W2931360298","https://openalex.org/W2964281107","https://openalex.org/W2990083057","https://openalex.org/W2997760504","https://openalex.org/W2998214075","https://openalex.org/W3034482186","https://openalex.org/W3117196003","https://openalex.org/W3156044630","https://openalex.org/W3158777740","https://openalex.org/W3205749498","https://openalex.org/W3211070668","https://openalex.org/W4226166980","https://openalex.org/W4294007112","https://openalex.org/W4307959803","https://openalex.org/W4320008877","https://openalex.org/W4387587607","https://openalex.org/W4388024378","https://openalex.org/W6606917465","https://openalex.org/W6637373629","https://openalex.org/W6664813172","https://openalex.org/W6696986209","https://openalex.org/W6780300825","https://openalex.org/W6842354093","https://openalex.org/W6857417397","https://openalex.org/W6858118208"],"related_works":["https://openalex.org/W4281776617","https://openalex.org/W2513638114","https://openalex.org/W4390062853","https://openalex.org/W2340127552","https://openalex.org/W4389256085","https://openalex.org/W3210156800","https://openalex.org/W3033485676","https://openalex.org/W2296406158","https://openalex.org/W2166338096","https://openalex.org/W2743493499"],"abstract_inverted_index":{"With":[0],"the":[1,17,38,75,93,98,103,125,127,138,144,157,162],"rapid":[2],"development":[3],"of":[4,11,16,20,40,97,105,143],"information":[5],"technology,":[6],"efficient":[7],"multi":[8,48,68],"label":[9,42,49,69],"classification":[10,32,39],"massive":[12],"data":[13,22,31],"is":[14,28,89],"one":[15],"important":[18],"tasks":[19],"big":[21],"systems.":[23],"Semi":[24],"supervised":[25,52,165],"learning":[26,53,166],"algorithm":[27,54,61,99],"an":[29],"effective":[30],"method,":[33],"currently":[34],"mainly":[35,62],"applied":[36],"to":[37,124,181],"single":[41],"data.":[43],"This":[44,146],"article":[45,147],"proposes":[46],"a":[47,120],"dynamic":[50],"semi":[51,164],"based":[55,73],"on":[56,74],"dual":[57,64],"selection":[58,65,87],"criteria.":[59],"The":[60],"establishes":[63],"criteria":[66],"for":[67,154],"pseudo":[70,84,112,134],"labeled":[71,85,113,135],"samples":[72],"COIN":[76],"structure":[77],"and":[78,95,100,131,141,156,177],"K-nearest":[79],"neighbor":[80],"algorithm.":[81],"A":[82],"novel":[83],"sample":[86,108],"method":[88,167],"designed,":[90],"which":[91],"improves":[92],"robustness":[94],"accuracy":[96,142],"effectively":[101],"solves":[102],"problem":[104],"not":[106],"considering":[107],"correlation":[109],"when":[110],"selecting":[111],"samples.":[114],"On":[115],"this":[116],"basis,":[117],"by":[118],"adding":[119],"performance":[121],"evaluation":[122],"mechanism":[123],"model,":[126],"model":[128],"can":[129],"dynamically":[130],"adaptively":[132],"extract":[133],"samples,":[136],"improving":[137],"training":[139,178],"speed":[140],"model.":[145],"selected":[148],"four":[149],"convincing":[150],"public":[151],"test":[152],"datasets":[153],"experiments,":[155],"experimental":[158],"results":[159],"showed":[160],"that":[161],"proposed":[163],"has":[168],"improved":[169],"in":[170],"multiple":[171],"indicators":[172],"such":[173],"as":[174],"robustness,":[175],"accuracy,":[176],"efficiency":[179],"compared":[180],"current":[182],"mainstream":[183],"methods.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}