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LONG HORIZON ANOMALY PREDICTION IN MULTIVARIATE TIME SERIES WITH CAUSAL AUTOENCODERS

dc.contributor.authorWeldezgina Asres, Mulugeta
dc.contributor.authorCummings, Grace
dc.contributor.authorKhukhunaishvili, Aleko
dc.contributor.authorParygin, Pavel
dc.contributor.authorCooper, Seth I.
dc.contributor.authorYu, David
dc.contributor.authorDittmann, Jay
dc.contributor.authorOmlin, Christian W.
dc.date.accessioned2022-07-20T11:57:37Z
dc.date.available2022-07-20T11:57:37Z
dc.date.created2022-07-18T21:28:42Z
dc.date.issued2022
dc.identifier.citationWeldezgina Asres, M., Cummings, G., Khukhunaishvili, A., Parygin, P., Cooper, S.I., Yu, D., Dittmann, J. & Omlin, C.W. (2022). Long horizon anomaly prediction in multivariate time series with causal autoencoders. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). 7 (1), 21-31.en_US
dc.identifier.issn2325-016X
dc.identifier.urihttps://hdl.handle.net/11250/3007234
dc.language.isoengen_US
dc.publisherThe Prognostics and Health Management Society (PHM Society)en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleLONG HORIZON ANOMALY PREDICTION IN MULTIVARIATE TIME SERIES WITH CAUSAL AUTOENCODERSen_US
dc.title.alternativeLONG HORIZON ANOMALY PREDICTION IN MULTIVARIATE TIME SERIES WITH CAUSAL AUTOENCODERSen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber21-31en_US
dc.source.volume7en_US
dc.source.journalProceedings of the European Conference of the Prognostics and Health Management Society (PHME)en_US
dc.source.issue1en_US
dc.identifier.doihttps://doi.org/10.36001/phme.2022.v7i1.3367
dc.identifier.cristin2038699
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal