Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems

Benjamin Kolicic, Alberto Caron, Chris Hicks +1

In this paper, we address the critical need for interpretable and uncertainty-aware machine learning models in the context of online learning for high-risk industries, particularly…