A hybrid brain–computer interface based on the fusion of P300 and SSVEP scores E Yin, T Zeyl, R Saab, T Chau, D Hu, Z Zhou IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (4 …, 2015 | 140 | 2015 |
An auditory-tactile visual saccade-independent P300 brain–computer interface E Yin, T Zeyl, R Saab, D Hu, Z Zhou, T Chau International journal of neural systems 26 (01), 1650001, 2016 | 112 | 2016 |
Trends in communicative access solutions for children with cerebral palsy A Myrden, L Schudlo, S Weyand, T Zeyl, T Chau Journal of child neurology 29 (8), 1108-1118, 2014 | 58 | 2014 |
Adding real-time Bayesian ranks to error-related potential scores improves error detection and auto-correction in a P300 speller T Zeyl, E Yin, M Keightley, T Chau IEEE transactions on neural systems and rehabilitation engineering 24 (1), 46-56, 2015 | 52 | 2015 |
Generating complex, realistic cloud workloads using recurrent neural networks S Bergsma, T Zeyl, A Senderovich, JC Beck Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles …, 2021 | 28 | 2021 |
Improving bit rate in an auditory BCI: Exploiting error-related potentials T Zeyl, E Yin, M Keightley, T Chau Brain-computer interfaces 3 (2), 75-87, 2016 | 28 | 2016 |
Partially supervised P300 speller adaptation for eventual stimulus timing optimization: target confidence is superior to error-related potential score as an uncertain label T Zeyl, E Yin, M Keightley, T Chau Journal of neural engineering 13 (2), 026008, 2016 | 28 | 2016 |
A case study of linear classifiers adapted using imperfect labels derived from human event-related potentials TJ Zeyl, T Chau Pattern Recognition Letters 37, 54-62, 2014 | 25 | 2014 |
Pareto: Fair congestion control with online reinforcement learning S Emara, F Wang, B Li, T Zeyl IEEE Transactions on Network Science and Engineering 9 (5), 3731-3748, 2022 | 19 | 2022 |
Insights into optimal phonemic compression from a computational model of the auditory periphery IC Bruce, F Dinath, TJ Zeyl Proceedings of the International Symposium on Auditory and Audiological …, 2007 | 12 | 2007 |
C2FAR: coarse-to-fine autoregressive networks for precise probabilistic forecasting S Bergsma, T Zeyl, J Rahimipour Anaraki, L Guo Advances in Neural Information Processing Systems 35, 21900-21915, 2022 | 9 | 2022 |
Minimum makespan workflow scheduling for malleable jobs with precedence constraints and lifetime resource demands C Chen, X Ke, T Zeyl, K Du, S Sanjabi, S Bergsma, R Pournaghi, C Chen 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 7 | 2019 |
Adaptive brain-computer interfacing through error-related potential detection T Zeyl University of Toronto (Canada), 2016 | 6 | 2016 |
Fedrl: Improving the performance of federated learning with non-iid data Y Kang, B Li, T Zeyl GLOBECOM 2022-2022 IEEE Global Communications Conference, 3023-3028, 2022 | 5 | 2022 |
SutraNets: sub-series autoregressive networks for long-sequence, probabilistic forecasting S Bergsma, T Zeyl, L Guo Advances in Neural Information Processing Systems 36, 30518-30533, 2023 | 1 | 2023 |
Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication F Wang, S Emara, I Kaplan, B Li, T Zeyl ICC 2023-IEEE International Conference on Communications, 1206-1211, 2023 | 1 | 2023 |
Strategies for adaptive motor imagery classification using error-related potential derived labels have unique risk profiles T Zeyl, T Chau 6th international brain--computer interface conference (Graz), 2014 | 1 | 2014 |
CASA: Classification-based Adjusted Slot Admission Control for Query Processing Engines T Zeyl, H Venugopal, C Sun, P Larson 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW …, 2024 | | 2024 |
Method and apparatus for vectorized resource scheduling in distributed computing systems using tensors SA Bergsma, TJ Zeyl, L Guo, KE Xiaodi US Patent 11,907,770, 2024 | | 2024 |
Method and apparatus for multiple reinforcement learning agents in a shared environment Z Hu, TJ Zeyl, SSHM Emara, B Li, F Wang US Patent App. 17/566,953, 2023 | | 2023 |