David Côté

11 papers Journal 10Unranked 1

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