{"id":"https://openalex.org/W4210320169","doi":"https://doi.org/10.1587/transinf.2021edl8063","title":"Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data","display_name":"Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data","publication_year":2022,"publication_date":"2022-01-31","ids":{"openalex":"https://openalex.org/W4210320169","doi":"https://doi.org/10.1587/transinf.2021edl8063"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2021edl8063","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2021edl8063","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/2/E105.D_2021EDL8063/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/2/E105.D_2021EDL8063/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101536635","display_name":"Kazuki Sato","orcid":"https://orcid.org/0000-0001-8143-0894"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki SATO","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007952886","display_name":"Satoshi NAKATA","orcid":null},"institutions":[{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I4210105113","display_name":"Mitsubishi Chemical (Germany)","ror":"https://ror.org/015c8af10","country_code":"DE","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210105113"]}],"countries":["DE","JP"],"is_corresponding":false,"raw_author_name":"Satoshi NAKATA","raw_affiliation_strings":["Mitsubishi Chemical Systems, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Chemical Systems, Inc","institution_ids":["https://openalex.org/I1306287861","https://openalex.org/I4210105113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068667478","display_name":"Takashi Matsubara","orcid":"https://orcid.org/0000-0003-0642-4800"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi MATSUBARA","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023847482","display_name":"Kuniaki Uehara","orcid":"https://orcid.org/0000-0002-7160-3752"},"institutions":[{"id":"https://openalex.org/I11381156","display_name":"Osaka Gakuin University","ror":"https://ror.org/04a8t1e98","country_code":"JP","type":"education","lineage":["https://openalex.org/I11381156"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kuniaki UEHARA","raw_affiliation_strings":["Faculty of Business Administration, Osaka Gakuin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Business Administration, Osaka Gakuin University","institution_ids":["https://openalex.org/I11381156"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6962,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73011206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"E105.D","issue":"2","first_page":"436","last_page":"440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9871000051498413,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9505000114440918,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/anomaly-detection","display_name":"Anomaly detection","score":0.8754906058311462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7560737729072571},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.7470223903656006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.589289665222168},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5691156387329102},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5275254845619202},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4908228814601898},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4863941967487335},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4436769187450409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4383174479007721},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40461498498916626},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39716091752052307},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06307527422904968}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8754906058311462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560737729072571},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7470223903656006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.589289665222168},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5691156387329102},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5275254845619202},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4908228814601898},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4863941967487335},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4436769187450409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4383174479007721},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40461498498916626},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39716091752052307},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06307527422904968},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2021edl8063","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2021edl8063","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/2/E105.D_2021EDL8063/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2021edl8063","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2021edl8063","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E105.D/2/E105.D_2021EDL8063/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1218567653","display_name":"Development of Multimodal Data Retrieval Engine Based on Human Cognitive System","funder_award_id":"19H04172","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1884191083","https://openalex.org/W2032204246","https://openalex.org/W2100495367","https://openalex.org/W2152575748","https://openalex.org/W2335728318","https://openalex.org/W2604763608","https://openalex.org/W2620364083","https://openalex.org/W2785359650","https://openalex.org/W2867167548","https://openalex.org/W2883243526","https://openalex.org/W2911906319","https://openalex.org/W2938728536","https://openalex.org/W2963890275","https://openalex.org/W2996891276","https://openalex.org/W3000689925","https://openalex.org/W3033742938","https://openalex.org/W3034942609","https://openalex.org/W3039883906"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W4365211920","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969"],"abstract_inverted_index":{"There":[0],"exists":[1],"a":[2,18,28,46,70,83,110,128,143,167],"great":[3],"demand":[4],"for":[5],"automatic":[6],"anomaly":[7,13,41,85,115,119],"detection":[8],"in":[9,122,166],"industrial":[10],"world.":[11],"The":[12],"has":[14,33],"been":[15],"defined":[16],"as":[17],"group":[19],"of":[20,30,52,65,77,80,91,131,170],"samples":[21,37,133,172],"that":[22,160],"rarely":[23],"or":[24],"never":[25],"appears.":[26],"Given":[27,102],"type":[29,68,90],"products,":[31],"one":[32,44,61],"to":[34,57,127],"collect":[35],"numerous":[36],"and":[38,156],"train":[39],"an":[40,118],"detector.":[42],"When":[43],"diverts":[45],"model":[47,146,163],"trained":[48,121],"with":[49,54,99],"old":[50],"types":[51],"products":[53,92],"sufficient":[55],"inventory":[56],"the":[58,66,78,81,88,100,103,161],"new":[59,67,89],"type,":[60],"can":[62],"detect":[63],"anomalies":[64,165],"before":[69],"production":[71],"line":[72],"is":[73,97,125],"established.":[74],"However,":[75],"because":[76],"definition":[79],"anomaly,":[82],"typical":[84],"detector":[86,120],"considers":[87],"anomalous":[93],"even":[94],"if":[95],"it":[96],"consistent":[98],"standard.":[101],"above":[104],"practical":[105],"demand,":[106],"this":[107,140],"study":[108],"propose":[109],"novel":[111],"problem":[112,141],"setting,":[113],"few-shot":[114],"detection,":[116],"where":[117],"source":[123],"domains":[124],"adapted":[126],"small":[129,168],"set":[130,169],"target":[132,171],"without":[134],"full":[135],"retraining.":[136],"Then,":[137],"we":[138],"tackle":[139],"using":[142],"hierarchical":[144],"probabilistic":[145],"based":[147],"on":[148,154],"deep":[149],"learning.":[150],"Our":[151],"empirical":[152],"results":[153],"toy":[155],"real-world":[157],"datasets":[158],"demonstrate":[159],"proposed":[162],"detects":[164],"successfully.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}