Ghalia Nassreddine

Explainable Semi-Supervised Learning Framework for Alzheimer’s Disease Prediction Using SHAP-Based Feature Selection and Cost-Sensitive CatBoost

A new lightweight, semi-supervised, SHAP-enhanced CatBoost (LSSSC) framework that covers the challenges related to insufficient label data, interpretability of prediction models, and performance in a single learning paradigm, and Experimental findings show that LSSSC outperforms traditional supervised and ensemble fram...