Table 1 Research on generative adversarial networks
Author/s | Summary |
|---|---|
Kim [48] | Presented a solution to data imbalance problem for predicting credit card fraud through generative adversarial networks based on oversampling |
Kim et al. [49] | Presented a solution to the problem of data imbalance for predicting credit card fraud through generative adversarial networks based oversampling |
Park et al. [51] | Presenting a solution to the problem of data imbalance using generative adversarial networks and KNN |
Mao et al. [50] | Presented a solution to data imbalance problem for predicting defective products in the manufacturing process through generative adversarial networks based on oversampling |
Engelmann and Lessmann [52] | Presenting a solution to the problem of data imbalance through Wasserstein GAN |