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This study proposes a hybrid learning strategy combining supervised and reinforcement learning techniques to optimize train wheel wear management under these constraints and achieve predictive ...
Facing a legal challenge over its decision to close several supervised consumption sites, the Ontario government has hired outside investigators to gather information about the sites. Ema ...
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai ...
TriPath is a deep-learning-based computational pipeline for volumetric image analysis that can perform weakly-supervised patient prognostication based on 3D morphological features without the need for ...
We have proposed MLM-like training as a self-supervised pre-training step for BCI/EEG DNNs. This is in the interest of diversifying the investigations into successful transfer learning schemes for ...