An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data (Journal Article) | NSF PAGES

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Citation Details

An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data

Authors:: Homayouni, Hajar; Ghosh, Sudipto; Ray, Indrakshi; Gondalia, Shlok; Duggan, Jerry; Kahn, Michael G.

Award ID(s):: 1650573 2027750 1822118 1931363

Publication Date:: 2020-12-10

NSF-PAR ID:: 10227386

Journal Name:: IEEE International Conference on Big Data (Big Data)

Page Range or eLocation-ID:: 5068 to 5077

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Publisher's Version of Record
https://doi.org/10.1109/BigData50022.2020.9378192