This repository contains the implementation of a variational autoencoder (VAE) for generating synthetic ... 2024.1421922 The dataset is obtained from BCI Competition IV - Data sets 2a. It consists of ...

For this purpose, a Variational Autoencoder is applied as a data augmentation technique to maximize the extraction of information from this dataset.

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

A passionate team of college students from Montréal, Canada, who use their computers as makeshift room heaters to stay warm through the harsh Canadian winters. We're curious about the future of ...