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Timothy Zeyl
Timothy Zeyl
Other namesTim Zeyl
Huawei Technologies Canada, Cloud BU
Verified email at huawei.com
Title
Cited by
Cited by
Year
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
1402015
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
1122016
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
582014
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
522015
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
282021
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
282016
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
282016
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
252014
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
192022
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
122007
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
92022
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
72019
Adaptive brain-computer interfacing through error-related potential detection
T Zeyl
University of Toronto (Canada), 2016
62016
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
52022
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
12023
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
12023
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
12014
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
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