{"id":"https://openalex.org/W2999680881","doi":"https://doi.org/10.1109/icmlc48188.2019.8949200","title":"Neighborhood Classifier for Label Noise","display_name":"Neighborhood Classifier for Label Noise","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2999680881","doi":"https://doi.org/10.1109/icmlc48188.2019.8949200","mag":"2999680881"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5019391310","display_name":"Xiansheng Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Rao","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779361","display_name":"Jingjing Song","orcid":"https://orcid.org/0000-0002-2637-7901"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing-Jing Song","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030350248","display_name":"Xibei Yang","orcid":"https://orcid.org/0000-0001-9708-1027"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Bei Yang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101623884","display_name":"Keyu Liu","orcid":"https://orcid.org/0000-0002-3188-6284"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke-Yu Liu","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology,Zhenjiang,China,212003","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006516117","display_name":"Ping-Xin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping-Xin Wang","raw_affiliation_strings":["School of Science, Jiangsu University of Science and Technology,Zhenjiang,China,212003","School of Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Jiangsu University of Science and Technology,Zhenjiang,China,212003","institution_ids":["https://openalex.org/I4210096899"]},{"raw_affiliation_string":"School of Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.995199978351593,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.8529443740844727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7264339327812195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7216709852218628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6600912809371948},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.502223014831543},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.41986608505249023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37734103202819824},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.18970131874084473}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8529443740844727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7264339327812195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216709852218628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6600912809371948},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.502223014831543},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.41986608505249023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37734103202819824},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.18970131874084473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc48188.2019.8949200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1514928307","https://openalex.org/W1595276678","https://openalex.org/W1990165991","https://openalex.org/W2034841618","https://openalex.org/W2052684427","https://openalex.org/W2110183025","https://openalex.org/W2167460663","https://openalex.org/W2312198368","https://openalex.org/W2410545331","https://openalex.org/W2746791238","https://openalex.org/W2747452519","https://openalex.org/W2767094803","https://openalex.org/W2767543837","https://openalex.org/W2908473781","https://openalex.org/W2912707296","https://openalex.org/W2963730760"],"related_works":["https://openalex.org/W4288315282","https://openalex.org/W2951122819","https://openalex.org/W2162083125","https://openalex.org/W2096969571","https://openalex.org/W2800999593","https://openalex.org/W2112112609","https://openalex.org/W1775174800","https://openalex.org/W1983827846","https://openalex.org/W2010370304","https://openalex.org/W2626955332"],"abstract_inverted_index":{"One":[0],"typical":[1],"case":[2],"of":[3,18,38,41,48,55,62,71,121],"label":[4,87],"noise":[5,17,75,88,115],"indicates":[6],"that":[7,28,135],"some":[8],"samples":[9,20,40,73,113],"have":[10,44],"been":[11,45],"incorrectly":[12],"labeled":[13],"in":[14],"data.":[15,161],"Label":[16],"training":[19],"will":[21,32],"significantly":[22],"affect":[23],"the":[24,29,53,60,69,104,126],"learning":[25],"performances":[26],"such":[27,94,119],"classification":[30,145],"accuracy":[31,146],"be":[33,148],"reduced.":[34],"Presently,":[35],"many":[36],"results":[37,133],"identifying":[39],"incorrect":[42],"labels":[43],"proposed.":[46],"Most":[47],"them":[49],"are":[50],"based":[51,57,107,129,139],"on":[52],"consideration":[54],"classifier":[56,64,95,106,138],"accuracy.":[58],"Therefore,":[59],"performance":[61],"used":[63],"is":[65,83,91,96,109,123],"directly":[66],"related":[67],"to":[68,98,111,159],"result":[70],"filtering":[72],"with":[74,114,125],"label.":[76],"In":[77],"this":[78],"paper,":[79],"a":[80],"neighborhood":[81,105,128,137,157],"strategy":[82],"introduced":[84],"into":[85],"analyzing":[86],"data,":[89],"it":[90],"mainly":[92],"because":[93,143],"superior":[97],"several":[99],"popular":[100],"classifiers.":[101],"Not":[102],"only":[103],"algorithm":[108],"designed":[110],"remove":[112],"label,":[116],"but":[117],"also":[118],"type":[120],"filter":[122,140],"compared":[124],"nearest":[127],"filter.":[130],"The":[131],"experimental":[132],"demonstrate":[134],"our":[136],"performs":[141],"well":[142],"higher":[144],"can":[147],"achieved.":[149],"This":[150],"study":[151],"suggests":[152],"new":[153],"trends":[154],"for":[155],"considering":[156],"approach":[158],"complex":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
