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Generalization and Risk Bounds for Recurrent Neural Networks
Recurrent Neural Networks (RNNs) have achieved great success in the prediction of sequential data.
SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced Classification of Sleep Stages
Deep neural networks have played an important role in automatic sleep stage classification because of their strong representation and in-model feature transformation abilities.
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