David Côté

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Autoregressive Model

Machine Learning

Fault Localization

Wavelength Division Multiplexing

Top Venues

IEEE Trans. Netw. Serv. Manag.

IEEE Trans. Instrum. Meas.

Publications

Wenjie Du, David Côté, Yan Liu
SAITS: Self-attention-based imputation for time series. Expert Syst. Appl. 219 (2023)
Sa'di Altamimi, Basel Altamimi, David Côté, Shervin Shirmohammadi
Toward a Superintelligent Action Recommender for Network Operation Centers Using Reinforcement Learning. IEEE Access 11 (2023)
Ayse Rumeysa Mohammed, Shady A. Mohammed, David Côté, Shervin Shirmohammadi
Stateless ARE: Action Recommendation Engine without Network State Measurement. M&N (2022)
Wenjie Du, David Côté, Yan Liu
SAITS: Self-Attention-based Imputation for Time Series. CoRR (2022)
Wenjie Du, David Côté, Chris Barber, Yan Liu
Forecasting Loss of Signal in Optical Networks with Machine Learning. CoRR (2022)
Shady A. Mohammed, Ayse Rumeysa Mohammed, David Côté, Shervin Shirmohammadi
A Machine-Learning-Based Action Recommender for Network Operation Centers. IEEE Trans. Netw. Serv. Manag. 18 (3) (2021)
Ayse Rumeysa Mohammed, Shady A. Mohammed, David Côté, Shervin Shirmohammadi
Machine Learning-Based Network Status Detection and Fault Localization. IEEE Trans. Instrum. Meas. 70 (2021)
Wenjie Du, David Côté, Chris Barber, Yan Liu
Forecasting loss of signal in optical networks with machine learning. JOCN 13 (10) (2021)
Hossein Ebrahimi Dinaki, Shervin Shirmohammadi, Emil Janulewicz, David Côté
Deep Learning-Based Fault Localization in Video Networks Using Only Client-Side QoE. IEEE Trans. Artif. Intell. 1 (2) (2020)
David W. Boertjes, Michael Reimer, David Côté
Practical considerations for near-zero margin network design and deployment [Invited]. JOCN 11 (9) (2019)
David Côté
Using Machine Learning in Communication Networks [Invited]. JOCN 10 (10) (2018)