66 citations · 89 across the 5 of their papers we have counts for
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cs.LG2022★ 1 cited
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers +1
As a substantial amount of multivariate time series data is being produced by the complex systems in Smart Manufacturing, improved anomaly detection frameworks are needed to reduce…
cs.LG2020★ 20 cited
A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Sulaiman Aburakhia, Tareq Tayeh, Ryan Myers +1
Convolutional Neural Network (CNN) techniques have proven to be very useful in image-based anomaly detection applications. CNN can be used as deep features extractor where other an…