{"id":"https://openalex.org/W4225655526","doi":"https://doi.org/10.1109/access.2022.3169498","title":"Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods","display_name":"Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225655526","doi":"https://doi.org/10.1109/access.2022.3169498"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3169498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09761911.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09761911.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074341219","display_name":"Cephas Alves da Silveira Barreto","orcid":"https://orcid.org/0000-0002-4756-8571"},"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"]},{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Cephas A. S. Barreto","raw_affiliation_strings":["Department of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","ORCiD"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"ORCiD","institution_ids":["https://openalex.org/I4210142152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081806326","display_name":"Arthur C. Gorg\u00f4nio","orcid":"https://orcid.org/0000-0002-1824-9600"},"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"]},{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Arthur Costa Gorgonio","raw_affiliation_strings":["Department of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","ORCiD"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"ORCiD","institution_ids":["https://openalex.org/I4210142152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039883944","display_name":"Jo\u00e3o C. Xavier-J\u00fanior","orcid":"https://orcid.org/0000-0003-1517-2211"},"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"]},{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Joao C. Xavier-Junior","raw_affiliation_strings":["Digital Metropolis Institute (IMD), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","ORCiD"],"affiliations":[{"raw_affiliation_string":"Digital Metropolis Institute (IMD), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"ORCiD","institution_ids":["https://openalex.org/I4210142152"]}]},{"author_position":"last","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"]},{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Anne Magaly De Paula Canuto","raw_affiliation_strings":["Department of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","ORCiD"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Applicated Mathematics (DIMAp), Federal University of Rio Grande do Norte (UFRN), Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"ORCiD","institution_ids":["https://openalex.org/I4210142152"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":"10","issue":null,"first_page":"43535","last_page":"43551"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9985,"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":0.9985,"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":0.9617,"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":0.9464,"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/supervised-learning","display_name":"Supervised Learning","score":0.42865026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81695735},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.68051815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6421323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63823676},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5712156},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5509106},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5201512},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42865026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41533625},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08037782},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3169498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09761911.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/2b5bdc283e6144f5b0465c9fcd0b852f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3169498","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09761911.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","award_id":null},{"funder":"https://openalex.org/F4320325185","funder_display_name":"Universidade Federal do Rio Grande do Norte","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":47,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1585385982","https://openalex.org/W1594145284","https://openalex.org/W1824737917","https://openalex.org/W1968817125","https://openalex.org/W1985767166","https://openalex.org/W2007546777","https://openalex.org/W2028010766","https://openalex.org/W2048679005","https://openalex.org/W2098370488","https://openalex.org/W2101210369","https://openalex.org/W2133556223","https://openalex.org/W2133990480","https://openalex.org/W2136504847","https://openalex.org/W2139823104","https://openalex.org/W2145376937","https://openalex.org/W2154455818","https://openalex.org/W2226450201","https://openalex.org/W2395084017","https://openalex.org/W2487087946","https://openalex.org/W2619296796","https://openalex.org/W2751768089","https://openalex.org/W2766521763","https://openalex.org/W2771989524","https://openalex.org/W2892065670","https://openalex.org/W2897098357","https://openalex.org/W2962804657","https://openalex.org/W2963560275","https://openalex.org/W2964159205","https://openalex.org/W2977628355","https://openalex.org/W2984353870","https://openalex.org/W2995825444","https://openalex.org/W2999368888","https://openalex.org/W3024821730","https://openalex.org/W3027559642","https://openalex.org/W3089808701","https://openalex.org/W3096966650","https://openalex.org/W3098147746","https://openalex.org/W3113970118","https://openalex.org/W3211938539","https://openalex.org/W4210997624","https://openalex.org/W4221158158","https://openalex.org/W4232478844","https://openalex.org/W4308214251","https://openalex.org/W46659105","https://openalex.org/W92894758"],"related_works":["https://openalex.org/W4390062853","https://openalex.org/W4389256085","https://openalex.org/W4285328440","https://openalex.org/W4205762803","https://openalex.org/W2961085424","https://openalex.org/W2535856026","https://openalex.org/W2468698815","https://openalex.org/W2322875716","https://openalex.org/W2265065644","https://openalex.org/W2134699697"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,6,13,51,135],"(SSL)":[2],"is":[3,26,39,57,87,159],"a":[4,29,36,42,50,60,83,115,172],"machine":[5],"approach":[7],"that":[8,148],"integrates":[9],"supervised":[10],"and":[11,23,69,128,208,224],"unsupervised":[12],"mechanisms.":[14],"This":[15],"integration":[16],"may":[17],"be":[18,94,150,215],"done":[19],"in":[20,59,96,111,129,199,217],"different":[21,163],"ways":[22],"one":[24],"possibility":[25],"to":[27,40,48,93,123,152,160,175,186],"use":[28,41,143,161],"wrapper-based":[30,37,84,116,153,202],"strategy.":[31],"The":[32,156],"main":[33,157],"aim":[34],"of":[35,45,82,90,114,133,144,180,190,231],"strategy":[38],"small":[43],"number":[44],"labelled":[46,77,95],"instances":[47,66,72,92],"create":[49],"model.":[52],"Then,":[53],"this":[54,138],"created":[55],"model":[56],"used":[58],"labelling":[61,98,126],"process,":[62,127],"where":[63],"some":[64],"unlabelled":[65,91,182],"are":[67,73,197],"labelled,":[68],"consequently,":[70],"these":[71,232],"incorporated":[74],"into":[75],"the":[76,88,97,112,131,142,181,188,191,194,221,228],"set.":[78],"One":[79],"important":[80,109],"aspect":[81],"SSL":[85,117,154,203,234],"method":[86,118],"selection":[89,105,146,164,179,195],"process.":[99],"In":[100,137,184],"other":[101],"words,":[102],"an":[103,108,124,177,211],"efficient":[104,125,134,178],"process":[106],"plays":[107],"role":[110],"design":[113],"since":[119],"it":[120],"can":[121,149],"lead":[122],"turn,":[130],"creation":[132],"models.":[136],"paper,":[139],"we":[140,219],"propose":[141],"three":[145],"methods":[147,196,226,235],"applied":[151,198],"methods.":[155],"idea":[158],"two":[162,200,233],"criteria,":[165],"prediction":[166],"confidence":[167],"or":[168],"classification":[169,238],"agreement":[170],"with":[171],"distance":[173],"metric,":[174],"perform":[176],"instances.":[183],"order":[185],"assess":[187],"feasibility":[189],"proposed":[192,229],"approach,":[193],"well-known":[201],"methods,":[204],"which":[205,218],"are:":[206],"Self-training":[207,223],"Co-training.":[209],"Additionally,":[210],"empirical":[212],"analysis":[213],"will":[214],"conducted":[216],"compare":[220],"standard":[222],"Co-training":[225],"against":[227],"versions":[230],"over":[236],"35":[237],"datasets.":[239]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4225655526","counts_by_year":[],"updated_date":"2024-12-16T13:28:35.739270","created_date":"2022-05-05"}