| Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging Y Zhang, D Hong, D McClement, O Oladosu, G Pridham, G Slaney Journal of Neuroscience Methods 353, 109098, 2021 | 87 | 2021 |
| Deep reinforcement learning with shallow controllers: An experimental application to PID tuning NP Lawrence, MG Forbes, PD Loewen, DG McClement, JU Backström, ... Control Engineering Practice 121, 105046, 2022 | 64 | 2022 |
| Meta-reinforcement learning for the tuning of PI controllers: An offline approach DG McClement, NP Lawrence, JU Backström, PD Loewen, MG Forbes, ... Journal of Process Control 118, 139-152, 2022 | 17 | 2022 |
| Frequency Analysis of Water Electrolysis Current Fluctuations in a PEM Flow Cell: Insights into Bubble Nucleation and Detachment JTH Kwan, A Nouri-Khorasani, A Bonakdarpour, DG McClement, ... Journal of The Electrochemical Society 169 (5), 054531, 2022 | 8 | 2022 |
| A meta-reinforcement learning approach to process control DG McClement, NP Lawrence, PD Loewen, MG Forbes, JU Backström, ... IFAC-PapersOnLine 54 (3), 685-692, 2021 | 7 | 2021 |
| Meta-Reinforcement Learning for Adaptive Control of Second Order Systems DG McClement, NP Lawrence, MG Forbes, PD Loewen, JU Backström, ... 2022 IEEE International Symposium on Advanced Control of Industrial …, 2022 | 3 | 2022 |
| Process controller with meta-reinforcement learning DG McClement, NP Lawrence, PD Loewen, RB Gopaluni, MG Forbes, ... US Patent App. 17/653,175, 2022 | | 2022 |
| Effective Virtual Teaching through the Interactive and Inexpensive Teaching Laboratory Data Management (TLDM) System DYC Choy, G Subedi, DG McClement, D Kannangara Proceedings of the Canadian Engineering Education Association (CEEA), 2021 | | 2021 |
| Class activation mapping methods for interpreting deep learning models in the classification of MRI with subtypes of multiple sclerosis J Lee, D McClement, G Pridham, O Oladosu, Y Zhang | | |
| Transfer learning with progressive training as a novel approach for classifying clinical forms of multiple sclerosis based on clinical MRI D McClement, J Lee, G Pridham, O Oladosu, Z Hosseinpour, Y Zhang | | |
