Generation and Evaluation of Tabular Data in Different Domains Using Gans
Persevearance Marecha & Lu Ye · Asian Journal of Research in Computer Science · 2023
Deep learning techniques like Generative Adversarial Networks (GANs) provide solutions in many domains where real data needs to be kept private. Synthesizing tabular data is difficult because of its high complexity. Tabular data usually contains a mixture of discrete and continuo...
Open access
Research Article
10.9734/ajrcos/2023/v16i1331