Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees. - Sheng Wong; Levin Kuhlmann (ACSW, 2020)

MLGuard: Defend Your Machine Learning Model! - Sheng Wong; Scott Barnett; Jessica Rivera-Villicana; Anj Simmons; Hala Abdelkader; Jean-Guy Schneider; Rajesh Vasa (SE4SafeML@SIGSOFT FSE, 2023)

Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique. - Sheng Wong; Anj Simmons; Jessica Rivera-Villicana; Scott Barnett (Sensors, 2023)

Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models. - Scott Barnett; Zach Brannelly; Stefanus Kurniawan; Sheng Wong (CoRR, 2024)

Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection. - Sheng Wong; Anj Simmons; Jessica Rivera-Villicana; Scott Barnett; Shobi Sivathamboo; Piero Perucca; Zongyuan Ge; Patrick Kwan; Levin Kuhlmann; Terence J. O'Brien (Biomed. Signal Process. Control., 2025)