{"id":"https://openalex.org/W4367663174","doi":"https://doi.org/10.1109/tai.2023.3271963","title":"Noisy Label Detection and Counterfactual Correction","display_name":"Noisy Label Detection and Counterfactual Correction","publication_year":2023,"publication_date":"2023-05-01","ids":{"openalex":"https://openalex.org/W4367663174","doi":"https://doi.org/10.1109/tai.2023.3271963"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3271963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3271963","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-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/A5031483487","display_name":"Wenting Qi","orcid":"https://orcid.org/0000-0002-5931-9855"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenting Qi","raw_affiliation_strings":["Department of Computer Science, University at Albany, SUNY, Albany, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-5931-9855","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University at Albany, SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021442429","display_name":"Charalampos Chelmis","orcid":"https://orcid.org/0000-0002-5920-1451"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charalampos Chelmis","raw_affiliation_strings":["Department of Computer Science, University at Albany, SUNY, Albany, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-5920-1451","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University at Albany, SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I392282"],"apc_list":null,"apc_paid":null,"fwci":1.1104,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80599251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"763","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.3093999922275543,"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":0.3093999922275543,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.27869999408721924,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.266400009393692,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.870313286781311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44181835651397705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4377608299255371},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3511717915534973},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1800684928894043}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.870313286781311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44181835651397705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4377608299255371},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3511717915534973},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1800684928894043}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3271963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3271963","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G555100989","display_name":null,"funder_award_id":"IIS-1850097","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8350346400","display_name":null,"funder_award_id":"ECCS-1737443","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W935072310","https://openalex.org/W1522301498","https://openalex.org/W1857789879","https://openalex.org/W1921293667","https://openalex.org/W1997731668","https://openalex.org/W2034841618","https://openalex.org/W2091759811","https://openalex.org/W2106053110","https://openalex.org/W2130903752","https://openalex.org/W2165594756","https://openalex.org/W2167460663","https://openalex.org/W2408493841","https://openalex.org/W2566079294","https://openalex.org/W2577784528","https://openalex.org/W2741649465","https://openalex.org/W2750384547","https://openalex.org/W2794111591","https://openalex.org/W2804911075","https://openalex.org/W2886509629","https://openalex.org/W2945295328","https://openalex.org/W2950510531","https://openalex.org/W2962790412","https://openalex.org/W2963125461","https://openalex.org/W2963697299","https://openalex.org/W2963735582","https://openalex.org/W2964292098","https://openalex.org/W2971058209","https://openalex.org/W2978012698","https://openalex.org/W2988966271","https://openalex.org/W3042609801","https://openalex.org/W3049187605","https://openalex.org/W3080795007","https://openalex.org/W3094613840","https://openalex.org/W3100956988","https://openalex.org/W3104149808","https://openalex.org/W3104300670","https://openalex.org/W3118608800","https://openalex.org/W3128206571","https://openalex.org/W3164970261","https://openalex.org/W4206635431","https://openalex.org/W4234878853","https://openalex.org/W4245055982","https://openalex.org/W4251962509","https://openalex.org/W4312126637","https://openalex.org/W6631190155","https://openalex.org/W6675751002","https://openalex.org/W6679734692","https://openalex.org/W6679959949","https://openalex.org/W6738471490","https://openalex.org/W6740005241","https://openalex.org/W6741811095","https://openalex.org/W6743688258","https://openalex.org/W6747898760","https://openalex.org/W6751647823","https://openalex.org/W6762563763","https://openalex.org/W6768967079","https://openalex.org/W6773116539","https://openalex.org/W6781876439","https://openalex.org/W6784161558","https://openalex.org/W6784235280","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W3025615835","https://openalex.org/W4384133558","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3003410553","https://openalex.org/W3028847759"],"abstract_inverted_index":{"Data":[0],"quality":[1],"is":[2,129],"of":[3,9,71,125,137,149,157,166,174,181],"paramount":[4],"importance":[5],"to":[6,75,107,117,133,171],"the":[7,62,69,72,119,123,130,135,141,147,164,167,172,175,179],"training":[8,42,73],"any":[10],"machine":[11],"learning":[12,19,116,139,143],"model.":[13],"Recently":[14],"proposed":[15,168],"approaches":[16],"for":[17,55],"noisy":[18,23,37,57,64,109,120,142],"focus":[20],"on":[21,151],"detecting":[22,56],"labeled":[24,58,110],"data":[25,38,65,111],"instances":[26,39,66],"by":[27],"using":[28],"a":[29,45,97,103,155],"fixed":[30,47],"loss":[31,48,104],"value":[32,49,105],"threshold":[33,50,106],"and":[34,93,113],"excluding":[35,61],"detected":[36,63],"in":[40,140,178],"subsequent":[41],"steps.":[43],"However,":[44],"predefined,":[46],"may":[51],"not":[52],"be":[53,82],"optimal":[54],"data,":[59],"whereas":[60],"can":[67,81],"reduce":[68],"size":[70],"set":[74],"such":[76],"an":[77],"extent":[78],"that":[79,100],"accuracy":[80],"negatively":[83],"affected.":[84],"In":[85],"this":[86],"article,":[87],"we":[88],"propose":[89],"Noisy":[90],"label":[91,158,183],"Detection":[92],"Counterfactual":[94],"Correction":[95],"(NDCC),":[96],"new":[98],"approach":[99,169],"automatically":[101],"selects":[102],"identify":[108],"instances,":[112],"uses":[114],"counterfactual":[115,138],"correct":[118],"labels.":[121],"To":[122],"best":[124],"our":[126],"knowledge,":[127],"NDCC":[128,150],"first":[131],"work":[132],"explore":[134],"use":[136],"domain.":[144],"We":[145],"demonstrate":[146],"performance":[148],"several":[152],"datasets":[153],"under":[154],"variety":[156],"noise":[159],"environments.":[160],"Experimental":[161],"results":[162],"show":[163],"superiority":[165],"compared":[170],"state":[173],"art,":[176],"especially":[177],"presence":[180],"severe":[182],"noise.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}