Ahmad N. Mohamad Jembari

Multi-Metric Explainability Assessment of Machine Learning Models for Physical Access Control

This paper presents a structured and quantitative framework for evaluating the explainability of machine learning (ML) models trained on synthetic access control datasets. Explainability is assessed using four complementary metrics - stability, consistency, fidelity, and monotonicity - along with a normalized composite...