IEEE

Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling

Abstract: The problem of data imbalance is defined as the uneven distribution of the training examples to the existing classes of a dataset. Among a wide variety of solutions, the oversampling ...
IEEE

WGAN-GP-Based Conditional GAN (cGAN) With Extreme Critic for Precipitation Downscaling in a Key Agricultural Region of the Northeastern U.S.

Abstract: This study develops a conditional Generative Adversarial Network with a multi-head Critic (cGAN_ext), under a Wasserstein GAN with gradient penalty (WGAN-GP) framework, to downscale ...