| Saits: Self-attention-based imputation for time series W Du, D Côté, Y Liu Expert Systems with Applications 219, 119619, 2023 | 171 | 2023 |
| Using machine learning in communication networks D Côté Journal of Optical Communications and Networking 10 (10), D100-D109, 2018 | 96 | 2018 |
| Systems and methods for proactive network operations SA Bhalla, M Wissa, T Triplet, C David US Patent 11,271,795, 2022 | 74 | 2022 |
| Systems and methods for automated feature selection and pattern discovery of multi-variate time-series T Triplet, C David, M Davies, A Shahid, K Kim, Y Liu US Patent 11,048,727, 2021 | 43 | 2021 |
| Network service pricing and resource management in a software defined networking environment P Djukic, T Morris, R Armolavicius, MH Auster, CF Janz, C David US Patent 9,838,271, 2017 | 37 | 2017 |
| Machine learning-based network status detection and fault localization AR Mohammed, SA Mohammed, D Côté, S Shirmohammadi IEEE Transactions on instrumentation and measurement 70, 1-10, 2021 | 25 | 2021 |
| Automatic labeling of telecommunication network data to train supervised machine learning C David, T Triplet US Patent 12,045,316, 2024 | 23 | 2024 |
| Identifying and locating a root cause of issues in a network having a known topology C David, P Djukic, T Triplet, T Morris, P Gosse, D Dennis, E Janulewicz, ... US Patent 11,356,320, 2022 | 22 | 2022 |
| Machine learning systems and methods to predict abnormal behavior in networks and network data labeling C David, E Janulewicz, M Davies, T Triplet, A Shahid, O Simard US Patent App. 16/296,710, 2019 | 22 | 2019 |
| Practical considerations for near-zero margin network design and deployment DW Boertjes, M Reimer, D Côté Journal of Optical Communications and Networking 11 (9), C25-C34, 2019 | 21 | 2019 |
| A machine-learning-based action recommender for network operation centers SA Mohammed, AR Mohammed, D Côté, S Shirmohammadi IEEE Transactions on Network and Service Management 18 (3), 2702-2713, 2021 | 19 | 2021 |
| Machine learning for link parameter identification in an optical communications system C David, E Janulewicz, T Triplet, Q Zhuge, Y Yu, Y Liu US Patent 10,171,161, 2019 | 18 | 2019 |
| Reinforcement learning for autonomous telecommunications networks E Janulewicz, C David, GS Shami, O Simard, T Triplet US Patent 11,126,929, 2021 | 17 | 2021 |
| Forecasting video QoE with deep learning from multivariate time-series HE Dinaki, S Shirmohammadi, E Janulewicz, D Côté IEEE Open Journal of Signal Processing 2, 512-521, 2021 | 17 | 2021 |
| Dynamic bandwidth control systems and methods in software defined networking D Cote, W Webb, S Slobodrian US Patent 10,187,318, 2019 | 17 | 2019 |
| Systems and methods to detect and characterize fake cell towers D Cote, H Aung, RM Elbaz, L Blyth US Patent 9,485,660, 2016 | 16 | 2016 |
| Registering collaborative configuration changes of a network element in a blockchain ledger T Triplet, E Janulewicz, C David US Patent 10,965,527, 2021 | 15 | 2021 |
| SDN orchestration and optimization of antennas and frequencies in radio access networks C David, H Aung, RM Elbaz US Patent 9,924,392, 2018 | 15 | 2018 |
| Forecasting loss of signal in optical networks with machine learning W Du, D Côté, C Barber, Y Liu Journal of Optical Communications and Networking 13 (10), E109-E121, 2021 | 12 | 2021 |
| Deep learning-based fault localization in video networks using only client-side QoE HE Dinaki, S Shirmohammadi, E Janulewicz, D Côté IEEE Transactions on Artificial Intelligence 1 (2), 130-138, 2020 | 11 | 2020 |
Shervin Shirmohammadi, IEEE Fellow,...Professor, University of OttawaVerified email at eecs.uottawa.ca
