{"id":"https://openalex.org/W4401452512","doi":"https://doi.org/10.1109/access.2024.3440915","title":"Self-Training Algorithm With Block Similar Neighbor Editing","display_name":"Self-Training Algorithm With Block Similar Neighbor Editing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401452512","doi":"https://doi.org/10.1109/access.2024.3440915"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3440915","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3440915","pdf_url":null,"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://doi.org/10.1109/access.2024.3440915","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113327565","display_name":"Wenwang Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwang Bai","raw_affiliation_strings":["College of Mathematics and Statistics, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113034489","display_name":"Cuihong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152533","display_name":"Lanzhou University of Finance and Economics","ror":"https://ror.org/04v7yv031","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuihong Zhang","raw_affiliation_strings":["School of Information Engineering and Artificial Intelligence, Lanzhou University of Finance and Economics, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering and Artificial Intelligence, Lanzhou University of Finance and Economics, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I4210152533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037573569","display_name":"Zhengguo Yang","orcid":"https://orcid.org/0000-0002-9633-566X"},"institutions":[{"id":"https://openalex.org/I4210152533","display_name":"Lanzhou University of Finance and Economics","ror":"https://ror.org/04v7yv031","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengguo Yang","raw_affiliation_strings":["School of Information Engineering and Artificial Intelligence, Lanzhou University of Finance and Economics, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0000-0002-9633-566X","affiliations":[{"raw_affiliation_string":"School of Information Engineering and Artificial Intelligence, Lanzhou University of Finance and Economics, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I4210152533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012349590","display_name":"He Yang","orcid":"https://orcid.org/0000-0001-9273-1473"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Yang","raw_affiliation_strings":["College of Mathematics and Statistics, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11291726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"110418","last_page":"110431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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":0.7649169564247131},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5903218984603882},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.48972299695014954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4882700443267822},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4525038003921509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41408810019493103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12464398145675659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649169564247131},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5903218984603882},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.48972299695014954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4882700443267822},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4525038003921509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41408810019493103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12464398145675659},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3440915","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3440915","pdf_url":null,"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:96ad1915e58b4ea8880166c48aa568f5","is_oa":true,"landing_page_url":"https://doaj.org/article/96ad1915e58b4ea8880166c48aa568f5","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":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 110418-110431 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3440915","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3440915","pdf_url":null,"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/G4310054449","display_name":null,"funder_award_id":"22JR5RA554","funder_id":"https://openalex.org/F4320322880","funder_display_name":"Natural Science Foundation of Gansu Province"}],"funders":[{"id":"https://openalex.org/F4320322880","display_name":"Natural Science Foundation of Gansu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1493009343","https://openalex.org/W1571801203","https://openalex.org/W1595276678","https://openalex.org/W1968817125","https://openalex.org/W2014098003","https://openalex.org/W2022479766","https://openalex.org/W2028276885","https://openalex.org/W2037851654","https://openalex.org/W2060797158","https://openalex.org/W2078380024","https://openalex.org/W2081758251","https://openalex.org/W2107686700","https://openalex.org/W2123921160","https://openalex.org/W2130026741","https://openalex.org/W2149795293","https://openalex.org/W2153226019","https://openalex.org/W2312206671","https://openalex.org/W2367130504","https://openalex.org/W2511353375","https://openalex.org/W2564039157","https://openalex.org/W2619296796","https://openalex.org/W2772384723","https://openalex.org/W2803894502","https://openalex.org/W2809417300","https://openalex.org/W2864283861","https://openalex.org/W2896682529","https://openalex.org/W2942831497","https://openalex.org/W2952479574","https://openalex.org/W2964319694","https://openalex.org/W2965727894","https://openalex.org/W2991261409","https://openalex.org/W2997393112","https://openalex.org/W3004127288","https://openalex.org/W3015177213","https://openalex.org/W3036090607","https://openalex.org/W3038482002","https://openalex.org/W3048115203","https://openalex.org/W3056479031","https://openalex.org/W3094049010","https://openalex.org/W3102615300","https://openalex.org/W3120740533","https://openalex.org/W3131633867","https://openalex.org/W3213467918","https://openalex.org/W4210997624","https://openalex.org/W4296904787","https://openalex.org/W4387587622","https://openalex.org/W6758195112"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W230091440","https://openalex.org/W2073681303","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952"],"abstract_inverted_index":{"In":[0],"the":[1,19,45,68,82,87,90,95,113,118,124,133,138,145,162,165,177,181],"real":[2],"world,":[3],"there":[4],"are":[5,71],"only":[6],"a":[7,28,62,103],"small":[8],"amount":[9],"of":[10,18,23,44,89,97,164,180],"data":[11,25,129,174],"with":[12,106,185],"labels.":[13],"To":[14,93],"make":[15],"full":[16],"use":[17],"potential":[20],"structural":[21],"information":[22],"unlabeled":[24],"to":[26,53,57,151,160],"train":[27],"better":[29],"classifier,":[30],"researchers":[31],"have":[32],"proposed":[33,182],"many":[34],"semi-supervised":[35,49],"learning":[36,50],"algorithms.":[37,188],"Among":[38],"these":[39],"algorithms,":[40],"self-training":[41,104],"is":[42,61],"one":[43],"most":[46],"widely":[47],"used":[48],"frameworks":[51],"due":[52],"its":[54],"simplicity.":[55],"How":[56],"select":[58],"high-confidence":[59,74,166],"samples":[60,70,116],"crucial":[63],"step":[64],"for":[65],"self-training.":[66],"If":[67],"misclassified":[69],"selected":[72],"as":[73],"samples,":[75],"this":[76,98,100],"error":[77],"will":[78],"be":[79],"amplified":[80],"in":[81],"iterative":[83],"process,":[84],"which":[85,122],"affects":[86],"performance":[88,126,179],"final":[91],"classifier.":[92],"alleviate":[94],"impact":[96],"problem,":[99],"paper":[101],"proposes":[102,144],"algorithm":[105],"block-similar":[107],"neighbor":[108,135,140,148],"editing":[109,149],"(STBSNE).":[110],"STBSNE":[111,131,183],"calculates":[112],"distance":[114],"between":[115],"by":[117],"block-based":[119],"dissimilarity":[120],"measure,":[121],"improves":[123],"classification":[125],"on":[127,171],"high-dimensional":[128],"sets.":[130],"defines":[132],"block-estimated":[134,139],"relationship,":[136],"builds":[137],"relationship":[141],"graph,":[142],"and":[143,154,157],"block":[146],"estimated":[147],"method":[150],"identify":[152],"outliers":[153],"noise":[155],"points,":[156],"edits":[158],"them":[159],"improve":[161],"quality":[163],"sample":[167],"selected.":[168],"Experimental":[169],"results":[170],"16":[172],"benchmark":[173],"sets":[175],"verify":[176],"superior":[178],"compared":[184],"seven":[186],"state-of-the-art":[187]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
