{"id":"https://openalex.org/W3016028716","doi":"https://doi.org/10.1109/icassp40776.2020.9054655","title":"Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning","display_name":"Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016028716","doi":"https://doi.org/10.1109/icassp40776.2020.9054655","mag":"3016028716"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.02137","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100707036","display_name":"Taehyeong Kim","orcid":"https://orcid.org/0000-0002-2731-4419"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taehyeong Kim","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021830637","display_name":"In\u2010June Hwang","orcid":"https://orcid.org/0000-0003-3709-1359"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Injune Hwang","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022061514","display_name":"Gi-Cheon Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gi-Cheon Kang","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Won-Seok Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won-Seok Choi","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086844825","display_name":"Hyunseo Kim","orcid":"https://orcid.org/0000-0002-1056-0381"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseo Kim","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107826037","display_name":"Byoung\u2010Tak Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byoung-Tak Zhang","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.6574,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64772385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4012","last_page":"4016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9902999997138977,"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/mnist-database","display_name":"MNIST database","score":0.8855603933334351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7570399045944214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567584276199341},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.608293890953064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5859169960021973},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5739139318466187},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5485478639602661},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.45127078890800476},{"id":"https://openalex.org/keywords/adaptive-resonance-theory","display_name":"Adaptive resonance theory","score":0.45006951689720154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3671218156814575},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3315560817718506},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.210296630859375}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8855603933334351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570399045944214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567584276199341},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.608293890953064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5859169960021973},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5739139318466187},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5485478639602661},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.45127078890800476},{"id":"https://openalex.org/C115755159","wikidata":"https://www.wikidata.org/wiki/Q352487","display_name":"Adaptive resonance theory","level":3,"score":0.45006951689720154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3671218156814575},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3315560817718506},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.210296630859375}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.02137","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.02137","pdf_url":"https://arxiv.org/pdf/2005.02137","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.02137","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.02137","pdf_url":"https://arxiv.org/pdf/2005.02137","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1600047650","https://openalex.org/W1630959083","https://openalex.org/W1682403713","https://openalex.org/W1959608418","https://openalex.org/W1967764809","https://openalex.org/W1990334093","https://openalex.org/W2012611887","https://openalex.org/W2015857587","https://openalex.org/W2028440811","https://openalex.org/W2112796928","https://openalex.org/W2130677181","https://openalex.org/W2159110831","https://openalex.org/W2166280719","https://openalex.org/W2187089797","https://openalex.org/W2261396597","https://openalex.org/W2335728318","https://openalex.org/W2527569769","https://openalex.org/W2528578439","https://openalex.org/W2606176153","https://openalex.org/W2951004968","https://openalex.org/W2951326654","https://openalex.org/W2951535099","https://openalex.org/W2962722184","https://openalex.org/W2979805229","https://openalex.org/W3118608800","https://openalex.org/W4210997624","https://openalex.org/W6636599907","https://openalex.org/W6640963894","https://openalex.org/W6676622225","https://openalex.org/W6703116779","https://openalex.org/W6727654133","https://openalex.org/W6736723571","https://openalex.org/W6761184088","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W34092691","https://openalex.org/W2365028544","https://openalex.org/W4309984931","https://openalex.org/W4282977123","https://openalex.org/W2949671220","https://openalex.org/W2013810580","https://openalex.org/W2186210338","https://openalex.org/W4206276646","https://openalex.org/W2371815184","https://openalex.org/W1571801203"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,4],"and":[2,21,68,88,99,110],"continuous":[3,56],"are":[5,18,104,113,127],"fundamental":[6],"paradigms":[7,38],"for":[8,54],"human-level":[9],"intelligence.":[10],"To":[11],"deal":[12],"with":[13],"real-world":[14],"problems":[15],"where":[16,123],"labels":[17,126],"rarely":[19],"given":[20],"the":[22,26,74,80,94,97,116,124],"opportunity":[23],"to":[24,34,65],"access":[25],"same":[27],"data":[28,76,112,125],"is":[29,32],"limited,":[30],"it":[31],"necessary":[33],"apply":[35],"these":[36],"two":[37],"in":[39,121],"a":[40],"joined":[41],"fashion.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"Label":[48],"Propagation":[49],"Adaptive":[50],"Resonance":[51],"Theory":[52],"(LPART)":[53],"semi-supervised":[55],"learning.":[57],"LPART":[58,120],"uses":[59],"an":[60],"online":[61],"label":[62],"propagation":[63],"mechanism":[64],"perform":[66],"classification":[67],"gradually":[69],"improves":[70],"its":[71],"accuracy":[72],"as":[73],"observed":[75],"accumulates.":[77],"We":[78],"evaluated":[79],"proposed":[81],"model":[82],"on":[83],"visual":[84],"(MNIST,":[85],"SVHN,":[86],"CIFAR-10)":[87],"audio":[89],"(NSynth)":[90],"datasets":[91],"by":[92],"adjusting":[93],"ratio":[95],"of":[96,119],"labeled":[98,109],"unlabeled":[100,111],"data.":[101],"The":[102],"accuracies":[103],"much":[105],"higher":[106],"when":[107],"both":[108],"used,":[114],"demonstrating":[115],"significant":[117],"advantage":[118],"environments":[122],"scarce.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}