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Noisy Recurrent Neural Networks
The dataset is a class of noisy recurrent neural networks with w (unbounded) weights for classification of sequences of length T, where independent noise distributed according... -
Model-based Oversampling for Imbalanced Sequence Classification
Model-based oversampling for imbalanced sequence classification. -
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Clas...
Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic data. We introduce a novel GAN with Autoencoder (GAN-AE)...
