Accurately detecting Alzheimer's disease (AD) and predicting mini-mental...
In this paper, we focus on learning effective entity matching models ove...
Frame stacking is broadly applied in end-to-end neural network training ...
Recurrent neural networks (RNNs), especially long short-term memory (LST...
As training data rapid growth, large-scale parallel training with multi-...
We introduce the speculate-correct method to derive error bounds for loc...