| EEG datasets for seizure detection and prediction—A review S Wong, A Simmons, J Rivera‐Villicana, S Barnett, S Sivathamboo, ... Epilepsia Open 8 (2), 252-267, 2023 | 41 | 2023 |
| Computationally efficient epileptic seizure prediction based on extremely randomised trees S Wong, L Kuhlmann Proceedings of the Australasian Computer Science Week Multiconference, 1-3, 2020 | 8 | 2020 |
| EEG based automated seizure detection–A survey of medical professionals S Wong, A Simmons, J Rivera-Villicana, S Barnett, S Sivathamboo, ... Epilepsy & Behavior 149, 109518, 2023 | 7 | 2023 |
| Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique S Wong, A Simmons, JR Villicana, S Barnett Sensors 23 (20), 8375, 2023 | 6 | 2023 |
| Mlguard: Defend your machine learning model! S Wong, S Barnett, J Rivera-Villicana, A Simmons, H Abdelkader, ... Proceedings of the 1st International Workshop on Dependability and …, 2023 | 5 | 2023 |
| Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models S Barnett, Z Brannelly, S Kurniawan, S Wong arXiv preprint arXiv:2406.11201, 2024 | 2 | 2024 |
| Channel-Annotated Deep Learning for Enhanced Interpretability in EEG-Based Seizure Detection SF Wong, A Simmons, J Rivera-Villicana, S Barnett, S Sivathamboo, ... Available at SSRN 4713086, 0 | 1 | |
