Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for ...
This paper aims to improve the feature diversity of training samples while expanding the data scale by mixing the locally ...
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
7. Turner SL, Karahalios A, Forbes AB, et al.: Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review. J Clin Epide ...
Time series augmentation possessing the dual strategy is essential in successfully applying deep models in time series classification. Mainly, it ...