{"id":"https://openalex.org/W2965433388","doi":"https://doi.org/10.24963/ijcai.2019/616","title":"BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series","display_name":"BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965433388","doi":"https://doi.org/10.24963/ijcai.2019/616","mag":"2965433388"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/616","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/616","pdf_url":"https://www.ijcai.org/proceedings/2019/0616.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0616.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101803494","display_name":"Bin Zhou","orcid":"https://orcid.org/0009-0008-6245-1081"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["Institute Of Computing Technology Chinese Academy Of Sciences","Institute of Computing Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Of Computing Technology Chinese Academy Of Sciences","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677836","display_name":"Shenghua Liu","orcid":"https://orcid.org/0000-0003-2120-3598"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghua Liu","raw_affiliation_strings":["Institute Of Computing Technology Chinese Academy Of Sciences","Institute of Computing Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Of Computing Technology Chinese Academy Of Sciences","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065675832","display_name":"Bryan Hooi","orcid":"https://orcid.org/0000-0002-5645-1754"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bryan Hooi","raw_affiliation_strings":["School of Computer Science, National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["Institute Of Computing Technology Chinese Academy Of Sciences","Institute of Computing Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Of Computing Technology Chinese Academy Of Sciences","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394417","display_name":"Jing Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103346","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103346"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Ye","raw_affiliation_strings":["Department of Anesthesiology, Nanfang Hospital, Southern Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Anesthesiology, Nanfang Hospital, Southern Medical University","institution_ids":["https://openalex.org/I4210103346","https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":275,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4433","last_page":"4439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7158961296081543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6931438446044922},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6895884275436401},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5552011132240295},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5257445573806763},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5225296020507812},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4866545796394348},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4779267907142639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47742781043052673},{"id":"https://openalex.org/keywords/beat","display_name":"Beat (acoustics)","score":0.4512766897678375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34090656042099},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23000559210777283}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7158961296081543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931438446044922},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6895884275436401},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5552011132240295},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5257445573806763},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5225296020507812},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4866545796394348},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4779267907142639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47742781043052673},{"id":"https://openalex.org/C189809214","wikidata":"https://www.wikidata.org/wiki/Q829522","display_name":"Beat (acoustics)","level":2,"score":0.4512766897678375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34090656042099},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23000559210777283},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/616","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/616","pdf_url":"https://www.ijcai.org/proceedings/2019/0616.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/616","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/616","pdf_url":"https://www.ijcai.org/proceedings/2019/0616.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4058633085","display_name":null,"funder_award_id":"61425016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5375682351","display_name":null,"funder_award_id":"91746301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6975804268","display_name":"\u5927\u89c4\u6a21\u591a\u5c5e\u6027\u56fe\u4e2d\u7684\u5f02\u5e38\u6a21\u5f0f\u6316\u6398","funder_award_id":"61772498","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965433388.pdf","grobid_xml":"https://content.openalex.org/works/W2965433388.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1976526581","https://openalex.org/W2006761437","https://openalex.org/W2007321142","https://openalex.org/W2011863672","https://openalex.org/W2077760583","https://openalex.org/W2078993594","https://openalex.org/W2095409369","https://openalex.org/W2105497548","https://openalex.org/W2173520492","https://openalex.org/W2515503816","https://openalex.org/W2599354622","https://openalex.org/W2731010577","https://openalex.org/W2746230914","https://openalex.org/W2777788452","https://openalex.org/W2778212428","https://openalex.org/W2801637960","https://openalex.org/W2807835232","https://openalex.org/W2884237723","https://openalex.org/W2963045681","https://openalex.org/W2963684088","https://openalex.org/W4320013936","https://openalex.org/W4320406025","https://openalex.org/W6644307160","https://openalex.org/W6803771590","https://openalex.org/W6863994431","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W2341338763","https://openalex.org/W2950183183","https://openalex.org/W2030799363","https://openalex.org/W2032415964","https://openalex.org/W2288425735","https://openalex.org/W2349923317","https://openalex.org/W2609942398","https://openalex.org/W2764033112","https://openalex.org/W4380451100","https://openalex.org/W2772616816"],"abstract_inverted_index":{"Given":[0],"a":[1],"large-scale":[2],"rhythmic":[3],"time":[4,76,87,121,136,144,173],"series":[5,77,122,174],"containing":[6],"mostly":[7],"normal":[8],"data":[9,50,118],"segments":[10],"(or":[11],"`beats'),":[12],"can":[13,30],"we":[14,31,67,162],"learn":[15],"how":[16,29],"to":[17,83,96,142],"detect":[18,32],"anomalous":[19,33,86,132,143],"beats":[20,34,133],"in":[21,60,63,134],"an":[22,70,90,111],"effective":[23],"yet":[24],"efficient":[25],"way?":[26],"For":[27],"example,":[28],"from":[35,170],"electrocardiogram":[36],"(ECG)":[37],"readings?":[38],"Existing":[39],"approaches":[40],"either":[41],"require":[42],"excessively":[43],"high":[44],"amounts":[45],"of":[46,89,107,148],"labeled":[47],"and":[48,129,138,152],"balanced":[49],"for":[51,75],"classification,":[52],"or":[53],"rely":[54],"on":[55],"less":[56],"regularized":[57],"reconstructions,":[58],"resulting":[59],"lower":[61],"accuracy":[62,147],"anomaly":[64,72],"detection.":[65],"Therefore,":[66],"propose":[68],"BeatGAN,":[69],"unsupervised":[71],"detection":[73],"algorithm":[74],"data.":[78],"BeatGAN":[79,127,165],"outputs":[80],"explainable":[81],"results":[82],"pinpoint":[84],"the":[85],"ticks":[88],"input":[91],"beat,":[92],"by":[93,104],"comparing":[94],"them":[95],"adversarially":[97],"generated":[98],"beats.":[99],"Its":[100],"robustness":[101],"is":[102],"guaranteed":[103],"its":[105,177],"regularization":[106],"reconstruction":[108],"error":[109],"using":[110,120],"adversarial":[112],"generation":[113],"approach,":[114],"as":[115,117],"well":[116],"augmentation":[119],"warping.":[123],"Experiments":[124],"show":[125,163],"that":[126,164],"accurately":[128,166],"efficiently":[130],"detects":[131,167],"ECG":[135],"series,":[137],"routes":[139],"doctors'":[140],"attention":[141],"ticks,":[145],"achieving":[146],"nearly":[149],"0.95":[150],"AUC,":[151],"very":[153],"fast":[154],"inference":[155],"(2.6":[156],"ms":[157],"per":[158],"beat).":[159],"In":[160],"addition,":[161],"unusual":[168],"motions":[169],"multivariate":[171],"motion-capture":[172],"data,":[175],"illustrating":[176],"generality.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":74},{"year":2024,"cited_by_count":61},{"year":2023,"cited_by_count":50},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}