Developing Kernel-Aware Explainability Techniques for Interpretable Support Vector Machines
- Artificial Intelligence (AI) systems are increasingly used for classification and decision support, but many machine learning models provide limited insight into how predictions are generated. This problem is particularly important in sensitive domains where users need to understand and trust automated decisions. Sup...