Conditional GAN Approaches on Regression Labels: A State‐of‐the‐Art Review

View Full Paper

Ask AI

Bookmark

Authors

Discussion

This review highlights algorithms generating synthetic data with regression labels in deep learning, showing applications and challenges.

Synthetic data generation using algorithms demonstrates significant potential, identifying critical applications in various fields.
Deep learning techniques based on generative adversarial networks transform data modeling paradigms, promoting innovation.
Continuous labeling methodologies guide synthetic data creation, driving advancements and addressing key challenges.
Computational intelligence evolves with new applications, emphasizing the need for ongoing exploration in generative models.

Silva‐Silverio et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark