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David Côté
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2020 – today
- 2023
- [j8]Sa'di Altamimi
, Basel Altamimi, David Côté
Toward a Superintelligent Action Recommender for Network Operation Centers Using Reinforcement Learning. IEEE Access 11: 20216-20229 (2023) - [j7]Wenjie Du
SAITS: Self-attention-based imputation for time series. Expert Syst. Appl. 219: 119619 (2023) - 2022
- [c1]Ayse Rumeysa Mohammed, Shady A. Mohammed, David Côté, Shervin Shirmohammadi
Stateless ARE: Action Recommendation Engine without Network State Measurement. M&N 2022: 1-6 - [i2]Wenjie Du, David Côté, Chris Barber, Yan Liu:
Forecasting Loss of Signal in Optical Networks with Machine Learning. CoRR abs/2201.07089 (2022) - [i1]Wenjie Du, David Côté, Yan Liu:
SAITS: Self-Attention-based Imputation for Time Series. CoRR abs/2202.08516 (2022) - 2021
- [j6]Wenjie Du
Forecasting loss of signal in optical networks with machine learning. JOCN 13(10): E109-E121 (2021) - [j5]Ayse Rumeysa Mohammed
Machine Learning-Based Network Status Detection and Fault Localization. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j4]Shady A. Mohammed
A Machine-Learning-Based Action Recommender for Network Operation Centers. IEEE Trans. Netw. Serv. Manag. 18(3): 2702-2713 (2021) - 2020
- [j3]Hossein Ebrahimi Dinaki
Deep Learning-Based Fault Localization in Video Networks Using Only Client-Side QoE. IEEE Trans. Artif. Intell. 1(2): 130-138 (2020)
2010 – 2019
- 2019
- [j2]David W. Boertjes, Michael Reimer, David Côté
Practical considerations for near-zero margin network design and deployment [Invited]. JOCN 11(9): C25-C34 (2019) - 2018
- [j1]David Côté
Using Machine Learning in Communication Networks [Invited]. JOCN 10(10): D100-D109 (2018)
Coauthor Index
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