Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks

Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel +2

Missing data is a common problem faced with real-world datasets. Imputation is a widely used technique to estimate the missing data. State-of-the-art imputation approaches, such as…