{"title":"Is it worth it? An experimental comparison of six deep- and classical machine learning methods for unsupervised anomaly detection in time series","authors":"Ferdinand Rewicki, J. Denzler, Julia Niebling","doi":"10.48550/arXiv.2212.11080","DOIUrl":null,"url":null,"abstract":",","PeriodicalId":93888,"journal":{"name":"ArXiv","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ArXiv","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48550/arXiv.2212.11080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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