Zhiqiang Wan

Variational autoencoder based synthetic data generation for imbalanced learning

2017

Discovering pattern from imbalanced data plays an important role in numerous applications, such as health service, cyber security, and financial engineering. However, the imbalanced data greatly compromise the performance of most learning algorithms. Recently, various …