{"id":"https://openalex.org/W2895931117","doi":"https://doi.org/10.1109/ijcnn.2018.8489128","title":"Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method","display_name":"Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2895931117","doi":"https://doi.org/10.1109/ijcnn.2018.8489128","mag":"2895931117"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012461592","display_name":"Karliane Medeiros Ovidio Vale","orcid":"https://orcid.org/0000-0001-9845-8156"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Karliane M. Ovidio Vale","raw_affiliation_strings":["Dept. of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019144108","display_name":"Anne M. P. Canuto","orcid":"https://orcid.org/0000-0002-3684-3814"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Anne Magaly de P. Canuto","raw_affiliation_strings":["Dept. of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000836669","display_name":"Araken de Medeiros Santos","orcid":"https://orcid.org/0000-0002-6407-475X"},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Araken de Medeiros Santos","raw_affiliation_strings":["Exact, Science and Information Technology Department, Federal Rural University of Semi-Arido, Angicos, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Exact, Science and Information Technology Department, Federal Rural University of Semi-Arido, Angicos, Brazil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005185037","display_name":"Flavius L. Gorg\u00f4nio","orcid":"https://orcid.org/0000-0002-4926-3990"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Flavius da Luz e Gorgonio","raw_affiliation_strings":["Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072923160","display_name":"Alan de M. Tavares","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alan de M. Tavares","raw_affiliation_strings":["Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069446169","display_name":"Arthur C. Gorgnio","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Arthur C. Gorgnio","raw_affiliation_strings":["Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085543266","display_name":"Cainan T. Alves","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cainan T. Alves","raw_affiliation_strings":["Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computation and Technology (DCT), Federal University of Rio Grande do Norte (UFRN), Caic\u00f3, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9054,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80451581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9944999814033508,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9944999814033508,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9919999837875366,"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":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.7033248543739319},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6439518332481384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6398332118988037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6057418584823608},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.583303689956665},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49733689427375793},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49457523226737976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4038781523704529},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37918126583099365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3250628113746643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2256624698638916},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1646919548511505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7033248543739319},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6439518332481384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6398332118988037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6057418584823608},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.583303689956665},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49733689427375793},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49457523226737976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4038781523704529},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37918126583099365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3250628113746643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2256624698638916},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1646919548511505},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1570448133","https://openalex.org/W1596077776","https://openalex.org/W1968817125","https://openalex.org/W1983574915","https://openalex.org/W1990334093","https://openalex.org/W1990548164","https://openalex.org/W2008845086","https://openalex.org/W2014098003","https://openalex.org/W2021739900","https://openalex.org/W2044722928","https://openalex.org/W2049832889","https://openalex.org/W2080656324","https://openalex.org/W2195092867","https://openalex.org/W2235571288","https://openalex.org/W2304932561","https://openalex.org/W2319358180","https://openalex.org/W2486791387","https://openalex.org/W2568245765","https://openalex.org/W2607290190","https://openalex.org/W2619296796","https://openalex.org/W2772176048","https://openalex.org/W2782190632","https://openalex.org/W4210997624","https://openalex.org/W4248018214","https://openalex.org/W6736928820","https://openalex.org/W6738578010"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W3125536479","https://openalex.org/W4214820172","https://openalex.org/W4386984454"],"abstract_inverted_index":{"This":[0],"paper":[1],"consists":[2],"of":[3,9,28,30,60,90,98,154],"a":[4,23,61,95,123,139],"study":[5],"in":[6,19,25,33,52,142],"the":[7,16,26,34,53,58,65,77,107,132,147,151],"field":[8],"semi-supervised":[10],"learning":[11],"and":[12,112],"implements":[13],"changes":[14],"on":[15],"self-training":[17,140],"algorithm":[18],"order":[20,38,74],"to":[21,39,69,75,121,146],"propose":[22],"variation":[24],"rate":[27,68],"inclusion":[29],"new":[31,62,71],"observations":[32],"labeled":[35,100],"dataset.":[36],"In":[37,73],"achieve":[40],"this":[41],"goal,":[42],"three":[43,133],"methods":[44,135],"(FlexCon-G,":[45],"FlexCone":[46],"FlexCon-C)":[47],"are":[48],"proposed,":[49],"which":[50],"differ":[51],"way":[54],"that":[55,131],"they":[56],"perform":[57,136],"calculation":[59],"value":[63],"for":[64],"minimum":[66],"confidence":[67],"include":[70],"patterns.":[72,101],"evaluate":[76],"proposed":[78,134],"methods,":[79],"we":[80],"performed":[81],"experimentations":[82],"with":[83,86,94],"20":[84],"datasets":[85],"diversified":[87],"characteristics.":[88],"Each":[89,102],"them":[91],"was":[92,104,119],"setup":[93],"different":[96],"percentage":[97],"initially":[99],"dataset":[103],"trained":[105],"using":[106],"Naive":[108],"Bayes,":[109],"decision":[110],"tree":[111],"ripper":[113],"classifiers.":[114],"Moreover,":[115],"Friedmann":[116],"statistical":[117],"test":[118],"applied":[120],"provide":[122],"statistically":[124],"significant":[125],"analysis.":[126],"The":[127],"obtained":[128],"results":[129],"indicate":[130],"better":[137],"than":[138],"method":[141,149],"most":[143,152],"cases,":[144],"pointing":[145],"FlexCon-C":[148],"as":[150],"efficient":[153],"them.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}