{"id":"https://openalex.org/W4388235250","doi":"https://doi.org/10.1145/3617695.3617707","title":"Heterogeneous-training: A Semi-supervised Text Classification Method","display_name":"Heterogeneous-training: A Semi-supervised Text Classification Method","publication_year":2023,"publication_date":"2023-08-11","ids":{"openalex":"https://openalex.org/W4388235250","doi":"https://doi.org/10.1145/3617695.3617707"},"language":"en","primary_location":{"id":"doi:10.1145/3617695.3617707","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3617695.3617707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Big Data and Internet of Things","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/A5044900908","display_name":"Yuhao Shen","orcid":"https://orcid.org/0009-0007-8040-0176"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhao Shen","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734437","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-3345-8339"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049682679","display_name":"X. W. Xu","orcid":"https://orcid.org/0009-0002-7605-6775"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlan Xu","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063517725","display_name":"Bing Luo","orcid":"https://orcid.org/0000-0002-5686-4946"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Luo","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773781","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-7705-8505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Sichuan Police College, China and \rIntelligent Policing Key Laboratory of Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Police College, China and \rIntelligent Policing Key Laboratory of Sichuan Province, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002241280","display_name":"Fei Hao","orcid":"https://orcid.org/0000-0001-5288-5523"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hao","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, China","institution_ids":["https://openalex.org/I88830068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044900908"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14167255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"201","issue":null,"first_page":"162","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9977999925613403,"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/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.8212792873382568},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5925774574279785},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5744103789329529},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5634565353393555},{"id":"https://openalex.org/keywords/co-training","display_name":"Co-training","score":0.5628512501716614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5541540384292603},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5387457609176636},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5304517149925232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4886172413825989},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4688725769519806},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.44599393010139465},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4358539283275604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39784932136535645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08397498726844788},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07859385013580322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212792873382568},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5925774574279785},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5744103789329529},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5634565353393555},{"id":"https://openalex.org/C2776959682","wikidata":"https://www.wikidata.org/wiki/Q17005296","display_name":"Co-training","level":3,"score":0.5628512501716614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5541540384292603},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5387457609176636},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5304517149925232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4886172413825989},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4688725769519806},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.44599393010139465},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4358539283275604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39784932136535645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08397498726844788},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07859385013580322},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3617695.3617707","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3617695.3617707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1534477342","https://openalex.org/W1965404367","https://openalex.org/W2048679005","https://openalex.org/W2441515906","https://openalex.org/W2891602716","https://openalex.org/W2905107686","https://openalex.org/W2914865568","https://openalex.org/W2950894652","https://openalex.org/W2962687275","https://openalex.org/W3034588688","https://openalex.org/W3103900065","https://openalex.org/W3149839747","https://openalex.org/W6680860788"],"related_works":["https://openalex.org/W2133556223","https://openalex.org/W2098708659","https://openalex.org/W2797776314","https://openalex.org/W4303683898","https://openalex.org/W1505796919","https://openalex.org/W2104788210","https://openalex.org/W2378187833","https://openalex.org/W2130553454","https://openalex.org/W2504719182","https://openalex.org/W121244246"],"abstract_inverted_index":{"With":[0],"the":[1,4,15,18,25,60,67,70,74,84],"advent":[2],"of":[3,28,62,94],"information":[5,22],"age,":[6],"there":[7],"are":[8],"more":[9,11],"and":[10,41,57,87],"text":[12,36,63,105,109],"data":[13,44,110],"on":[14,66,107],"Internet.":[16],"As":[17],"most":[19],"widely":[20],"distributed":[21],"carrier":[23],"with":[24],"largest":[26],"amount":[27],"data,":[29],"it":[30],"is":[31,55],"particularly":[32],"important":[33],"to":[34,39,59],"use":[35],"classification":[37,106],"technology":[38],"organize":[40],"manage":[42],"massive":[43],"scientifically.":[45],"In":[46],"this":[47],"paper,":[48],"a":[49],"semi-supervised":[50],"ensemble":[51],"learning":[52],"algorithm":[53,72,77,103],"Heterogeneous-training":[54,71],"proposed":[56],"applied":[58],"field":[61],"classification.":[64],"Based":[65],"Tri-training":[68,76,102],"algorithm,":[69],"improves":[73],"traditional":[75],"by":[78],"using":[79],"different":[80],"classifiers,":[81],"dynamically":[82],"updating":[83],"probability":[85],"threshold":[86],"adaptively":[88],"editing":[89],"data.":[90],"A":[91],"large":[92],"number":[93],"experiments":[95],"show":[96],"that":[97],"our":[98],"method":[99],"always":[100],"outperforms":[101],"in":[104],"benchmark":[108],"sets.":[111]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}