time series

Attention-Based Representation Learning for Time Series with Principal and Residual Space Monitoring
The encoder-decoder network is one of the most common deep learning models for time series representation learning and anomaly …
Botao Wang, Fugee Tsung, Hao Yan
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Simultaneous Material Microstructure Classification and Discovery via Hidden Markov Modeling of Acoustic Emission Signals
Acoustic emission (AE) signals have been widely employed for tracking material properties and structural characteristics. In this …
Xinyu Zhao, Ashif Iquebal, Huifeng Sun, Hao Yan
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Rapid Detection of Hot-Spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
In many bio-surveillance and healthcare applications, data sources are measured from many spatial locations repeatedly over time, say, …
Yujie Zhao, Hao Yan, Sarah E. Holte, Roxanne P. Kerani, Yajun Mei
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