2 papers
cs.LG2026
Ti-iLSTM: A TinyDL Approach for Logic-Level Anomaly Detection in Industrial Water Treatment Systems
Mandar Joshi, Farzana Zahid, Judy Bowen +3
Industrial Water Treatment Systems (IWTS) are safety critical cyber-physical infrastructures and due to increased connectivity, these systems are exposed to cyber threats that can…
cs.LG2025
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
John Törnblom, Emil Karlsson, Simin Nadjm-Tehrani
The ability to explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided…