{"id":"https://openalex.org/W2972458663","doi":"https://doi.org/10.1109/vast47406.2019.8986943","title":"Interactive Correction of Mislabeled Training Data","display_name":"Interactive Correction of Mislabeled Training Data","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2972458663","doi":"https://doi.org/10.1109/vast47406.2019.8986943","mag":"2972458663"},"language":"en","primary_location":{"id":"doi:10.1109/vast47406.2019.8986943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-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/A5081274814","display_name":"Shouxing Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shouxing Xiang","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035560166","display_name":"Ye Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Ye","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079986783","display_name":"Jiazhi Xia","orcid":"https://orcid.org/0000-0003-4629-6268"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazhi Xia","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013863229","display_name":"Jing Wu","orcid":"https://orcid.org/0000-0001-5123-9861"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Wu","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350382","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0001-9406-8273"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038775008","display_name":"Shi\u2010Xia Liu","orcid":"https://orcid.org/0000-0001-6104-4320"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixia Liu","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081274814"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":6.0207,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.96981944,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9954000115394592,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8478496074676514},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7525438070297241},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6373493671417236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.601873517036438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5544042587280273},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5381961464881897},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5093024969100952},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5019946098327637},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4374575912952423},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4314042925834656},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43080809712409973},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15263241529464722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8478496074676514},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7525438070297241},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6373493671417236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.601873517036438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5544042587280273},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5381961464881897},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5093024969100952},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5019946098327637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4374575912952423},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4314042925834656},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43080809712409973},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15263241529464722},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vast47406.2019.8986943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:124542","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W37400329","https://openalex.org/W139908555","https://openalex.org/W1513440331","https://openalex.org/W1686810756","https://openalex.org/W1942616003","https://openalex.org/W1971888852","https://openalex.org/W1974879849","https://openalex.org/W1975853600","https://openalex.org/W1989505216","https://openalex.org/W1994550352","https://openalex.org/W1995045912","https://openalex.org/W2007241592","https://openalex.org/W2037894060","https://openalex.org/W2064766209","https://openalex.org/W2089741653","https://openalex.org/W2113411758","https://openalex.org/W2121418890","https://openalex.org/W2121467460","https://openalex.org/W2137130182","https://openalex.org/W2138199375","https://openalex.org/W2143101939","https://openalex.org/W2153935912","https://openalex.org/W2156928189","https://openalex.org/W2167460663","https://openalex.org/W2182787248","https://openalex.org/W2204904589","https://openalex.org/W2212819718","https://openalex.org/W2255388164","https://openalex.org/W2343061342","https://openalex.org/W2467197661","https://openalex.org/W2513302583","https://openalex.org/W2577784528","https://openalex.org/W2610962473","https://openalex.org/W2740265435","https://openalex.org/W2750714283","https://openalex.org/W2751378044","https://openalex.org/W2751746637","https://openalex.org/W2752257308","https://openalex.org/W2752332392","https://openalex.org/W2753079413","https://openalex.org/W2784560833","https://openalex.org/W2805491558","https://openalex.org/W2805511080","https://openalex.org/W2807060152","https://openalex.org/W2807795618","https://openalex.org/W2824561939","https://openalex.org/W2888693151","https://openalex.org/W2897083899","https://openalex.org/W2903158431","https://openalex.org/W2904982178","https://openalex.org/W2906330222","https://openalex.org/W2962762068","https://openalex.org/W2962769888","https://openalex.org/W2962835968","https://openalex.org/W2964274690","https://openalex.org/W2969980980","https://openalex.org/W3023058184","https://openalex.org/W4255446233","https://openalex.org/W4293775970","https://openalex.org/W4383745540","https://openalex.org/W6605715689","https://openalex.org/W6637373629","https://openalex.org/W6686029465","https://openalex.org/W6747609761","https://openalex.org/W6752509955","https://openalex.org/W6757015588","https://openalex.org/W6757513713"],"related_works":["https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W2087783760","https://openalex.org/W1509924131","https://openalex.org/W3104108945","https://openalex.org/W3163689946","https://openalex.org/W4287890939","https://openalex.org/W2033364610","https://openalex.org/W2797776314"],"abstract_inverted_index":{"In":[0],"this":[1,63],"paper,":[2],"we":[3],"develop":[4],"a":[5,42,65,102],"visual":[6],"analysis":[7],"method":[8,111],"for":[9],"interactively":[10],"improving":[11],"the":[12,21,34,49,52,58,84,122],"quality":[13,29],"of":[14,23,36,51,75,77,83],"labeled":[15,78],"data,":[16],"which":[17],"is":[18,31,70,87],"essential":[19],"to":[20,46,56,72,100],"success":[22],"supervised":[24],"and":[25,55,97,118,121],"semi-supervised":[26],"learning.":[27],"The":[28,81],"improvement":[30],"achieved":[32],"through":[33,115],"use":[35],"user-selected":[37],"trusted":[38,53,85],"items.":[39],"We":[40,108],"employ":[41],"bi-level":[43],"optimization":[44],"model":[45],"accurately":[47],"match":[48],"labels":[50],"items":[54,86],"minimize":[57],"training":[59],"loss.":[60],"Based":[61],"on":[62,112],"model,":[64],"scalable":[66],"data":[67,79],"correction":[68],"algorithm":[69],"developed":[71],"handle":[73],"tens":[74],"thousands":[76],"efficiently.":[80],"selection":[82],"facilitated":[88],"by":[89],"an":[90],"incremental":[91],"tSNE":[92],"with":[93],"improved":[94],"computational":[95],"efficiency":[96],"layout":[98],"stability":[99],"ensure":[101],"smooth":[103],"transition":[104],"between":[105],"different":[106],"levels.":[107],"evaluated":[109],"our":[110],"real-world":[113],"datasets":[114],"quantitative":[116],"evaluation":[117],"case":[119],"studies,":[120],"results":[123],"were":[124],"generally":[125],"favorable.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":14}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
