{"id":"https://openalex.org/W4372260075","doi":"https://doi.org/10.1109/icassp49357.2023.10095789","title":"Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder","display_name":"Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260075","doi":"https://doi.org/10.1109/icassp49357.2023.10095789"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095789","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5050379321","display_name":"William Todo","orcid":null},"institutions":[{"id":"https://openalex.org/I84500057","display_name":"Institut de Math\u00e9matiques de Toulouse","ror":"https://ror.org/014vp6c30","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I196454796","https://openalex.org/I4210141950","https://openalex.org/I4210152422","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405259414","https://openalex.org/I84500057"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"William Todo","raw_affiliation_strings":["Institut de Mathématiques de Toulouse,Toulouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Mathématiques de Toulouse,Toulouse,France","institution_ids":["https://openalex.org/I84500057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014388862","display_name":"Merwann Selmani","orcid":null},"institutions":[{"id":"https://openalex.org/I2802118644","display_name":"Liebherr (France)","ror":"https://ror.org/014a5cc29","country_code":"FR","type":"company","lineage":["https://openalex.org/I2802118644","https://openalex.org/I4210098163"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Merwann Selmani","raw_affiliation_strings":["Liebherr Aerospace Toulouse"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liebherr Aerospace Toulouse","institution_ids":["https://openalex.org/I2802118644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025409837","display_name":"B\u00e9atrice Laurent","orcid":null},"institutions":[{"id":"https://openalex.org/I84500057","display_name":"Institut de Math\u00e9matiques de Toulouse","ror":"https://ror.org/014vp6c30","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I196454796","https://openalex.org/I4210141950","https://openalex.org/I4210152422","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405259414","https://openalex.org/I84500057"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B\u00e9atrice Laurent","raw_affiliation_strings":["Institut de Mathématiques de Toulouse,Toulouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Mathématiques de Toulouse,Toulouse,France","institution_ids":["https://openalex.org/I84500057"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025032659","display_name":"Jean\u2013Michel Loubes","orcid":"https://orcid.org/0000-0002-1252-2960"},"institutions":[{"id":"https://openalex.org/I84500057","display_name":"Institut de Math\u00e9matiques de Toulouse","ror":"https://ror.org/014vp6c30","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I196454796","https://openalex.org/I4210141950","https://openalex.org/I4210152422","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405258862","https://openalex.org/I4405259414","https://openalex.org/I84500057"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Loubes","raw_affiliation_strings":["Institut de Mathématiques de Toulouse,Toulouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Mathématiques de Toulouse,Toulouse,France","institution_ids":["https://openalex.org/I84500057"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050379321"],"corresponding_institution_ids":["https://openalex.org/I84500057"],"apc_list":null,"apc_paid":null,"fwci":0.1681,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52964561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9904999732971191,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9810000061988831,"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/autoencoder","display_name":"Autoencoder","score":0.8582487106323242},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.7966809868812561},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7731373906135559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7083563804626465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733555197715759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4946541488170624},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.48385584354400635},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.47807741165161133},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45002490282058716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41353774070739746},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.25532227754592896},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09904736280441284}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8582487106323242},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.7966809868812561},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7731373906135559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7083563804626465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733555197715759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4946541488170624},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.48385584354400635},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.47807741165161133},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45002490282058716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41353774070739746},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25532227754592896},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09904736280441284},{"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},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095789","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04772596v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04772596","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023, Rhodes Island, France. pp.1-5, ⟨10.1109/ICASSP49357.2023.10095789⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2163922914","https://openalex.org/W2786672974","https://openalex.org/W2892285692","https://openalex.org/W2966145398","https://openalex.org/W2978426779","https://openalex.org/W3027572331","https://openalex.org/W3081435493","https://openalex.org/W3084949122","https://openalex.org/W3094613840","https://openalex.org/W3112088560","https://openalex.org/W3199714491","https://openalex.org/W3207741336","https://openalex.org/W4287812705","https://openalex.org/W4293507378","https://openalex.org/W4297812478","https://openalex.org/W4302067267","https://openalex.org/W6639732818","https://openalex.org/W6640963894","https://openalex.org/W6748744355","https://openalex.org/W6748816842","https://openalex.org/W6762913911","https://openalex.org/W6774314701","https://openalex.org/W6776585019","https://openalex.org/W6776700526","https://openalex.org/W6783998556","https://openalex.org/W6784161558","https://openalex.org/W6787557222","https://openalex.org/W6800098883"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W2118640767"],"abstract_inverted_index":{"We":[0,62,136],"tackle":[1],"the":[2,75,101,107,111,129,138],"issue":[3],"of":[4,110,140,149],"anomaly":[5],"detection":[6],"for":[7,27],"multivariate":[8,19,43,59],"functional":[9],"data":[10,29],"in":[11,147],"a":[12,51,64,91],"supervised":[13,84],"setting.":[14],"Deep":[15],"learning":[16],"applied":[17],"to":[18,53,98,105,113,121],"time":[20,44,60],"series":[21],"has":[22],"become":[23],"common":[24],"nowadays,":[25],"especially":[26],"medical":[28],"such":[30],"as":[31],"electrocardiogram":[32],"(ECG).":[33],"There":[34],"are":[35],"not":[36],"many":[37],"explanability":[38],"techniques":[39],"that":[40,71,95],"can":[41],"handle":[42],"series.":[45,61],"In":[46],"this":[47],"paper,":[48],"we":[49],"propose":[50],"model":[52],"understand":[54],"abnormal":[55],"class":[56],"features":[57,82,103],"on":[58,73],"present":[63],"new":[65],"variational":[66],"autoencoder":[67],"(VAE)":[68],"training":[69],"method":[70,118],"focuses":[72],"dividing":[74],"latent":[76,93],"space":[77,94],"into":[78],"general":[79],"and":[80,104,133,151],"class-based":[81,102],"using":[83],"contrastive":[85],"learning.":[86],"The":[87],"Contrastive":[88],"VAE":[89,112],"produces":[90],"well-organized":[92],"enables":[96],"us":[97],"modify":[99],"only":[100],"use":[106],"generative":[108],"part":[109],"produce":[114],"counterfactual":[115,125,145],"examples.":[116],"This":[117],"is":[119],"able":[120],"easily":[122],"provide":[123],"plausible":[124],"observations,":[126],"which":[127],"highlights":[128],"differences":[130],"between":[131],"pathological":[132],"non-pathological":[134],"data.":[135],"demonstrate":[137],"superiority":[139],"our":[141],"approach":[142],"over":[143],"other":[144],"methods":[146],"terms":[148],"validity":[150],"performance.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}