Jul 2026
A Privacy‐Preserving and Explainable Deep Learning Framework for Imbalanced Student Performance Prediction Using CTGAN‐Based Data Augmentation
A privacy‐preserving and explainable deep learning framework that integrates Conditional Tabular Generative Adversarial Network (CTGAN)‐based augmentation, adaptive model selection, and gradient‐based interpretability for small‐scale tabular data is proposed.
Samira Tajdar, Hakimeh Dustmohammadloo, R. Rakhmonov et al.
· Concurrency and Computation · 0 citations