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Anomaly detection in multi-variate time series (MVTS) data is a huge challenge as it requires simultaneous representation of long term temporal dependencies and correlations across multiple variables.
“Predictive coding–i,”
Peter Elias, · 1955
Earlier work this paper cites.
“Anomaly detection on time series,”
Mingyan Teng, · 2010
Earlier work this paper cites.
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Arjen Alink, Caspar M Schwiedrzik, Axel Kohler, Wolf Singer, and Lars Muckli, · 2010
Earlier work this paper cites.
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Hanneke EM den Ouden, Jean Daunizeau, Jonathan Roiser, Karl J Friston, and Klaas E Stephan, · 2010
Earlier work this paper cites.
“Nonstimulated early visual areas carry information about surrounding context,”
Fraser W Smith and Lars Muckli, · 2010
Earlier work this paper cites.
“Predictive coding,”
Yanping Huang and Rajesh PN Rao, · 2011
Earlier work this paper cites.
“Repetition suppression and expectation suppression are dissociable in time in early auditory evoked fields,”
Ana Todorovic and Floris P de Lange, · 2012
Earlier work this paper cites.
“Long short term memory networks for anomaly detection in time series,”
Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, and Puneet Agarwal, · 2015
Earlier work this paper cites.
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“Skoltech anomaly benchmark (skab),” \url
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“An evaluation of anomaly detection and diagnosis in multivariate time series,”
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“Anomaly detection in univariate time-series: A survey on the state-of-the-art,”
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Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, and Maria A Zuluaga, · 2020
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Astha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, and Chuan-Sheng Foo, · 2021
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“Time-series representation learning via temporal and contextual contrasting,”
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, and Cuntai Guan, · 2021
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