To address imbalance, an approach using weighted loss function and an approach using synthetic data generated through a combination of variational autoencoder and the Adaptive ... predicting evasion ...

A build-from-scratch 1D CNN language model used on patient's discharge summary phenotyping and comparing the LM with concept extraction based classification models.

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We propose a Wavelet based Deep Emotion Recognition (WaDER) method using an autoencoder and 1D convolutional neural network (CNN) and long short-term memory (LSTM) networks. The autoencoder is used to ...

In recent years, deep learning (DL) based methods, such as sparse convolutional denoising autoencoder (SCDA), have been developed ... In this paper, we present an improved one-dimensional (1D) ...