When we use regression learning to predict some state variables in artificial systems, it is important to consider nonstationarity, sparsity, interpretability, reliability, and so on. This paper ...

SiamMTS performs self-supervised learning by minimizing the distance between different augmented views of the same sensor sequence in the feature space, thereby extracting a universal time-series ...