R Programming

Research Frontiers in Interpretable Machine Learning through Explainable AI Frameworks

Advanced development of model-agnostic explainability methods in R including SHAP values, LIME extensions, and feature interaction detection for transparent and auditable machine learning systems in high-stakes domains.

All R Programming PhD categories