An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series - researchr publication

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Tareq Tayeh, Sulaiman A. Aburakhia, Ryan Myers, Abdallah Shami. An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series. Machine Learning and Knowledge Extraction, 4(2):350-370, 2022. [doi]

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