A practical guide to multi-objective reinforcement learning and planning CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ... Autonomous Agents and Multi-Agent Systems 36 (1), 26, 2022 | 358 | 2022 |
Wind turbine drivetrains: state-of-the-art technologies and future development trends AR Nejad, J Keller, Y Guo, S Sheng, H Polinder, S Watson, J Dong, Z Qin, ... Wind Energy Science 7 (1), 387-411, 2022 | 122 | 2022 |
Deep reinforcement learning for large-scale epidemic control PJK Libin, A Moonens, T Verstraeten, F Perez-Sanjines, N Hens, P Lemey, ... Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 55 | 2021 |
A deep boosted transfer learning method for wind turbine gearbox fault detection F Jamil, T Verstraeten, A Nowé, C Peeters, J Helsen Renewable Energy 197, 331-341, 2022 | 51 | 2022 |
Learning to coordinate with coordination graphs in repeated single-stage multi-agent decision problems E Bargiacchi, T Verstraeten, D Roijers, A Nowé, H Hasselt International conference on machine learning, 482-490, 2018 | 50 | 2018 |
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics PJK Libin, L Willem, T Verstraeten, A Torneri, J Vanderlocht, N Hens PLoS computational biology 17 (3), e1008688, 2021 | 40 | 2021 |
Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence F Perez-Sanjines, C Peeters, T Verstraeten, J Antoni, A Nowé, J Helsen Mechanical Systems and Signal Processing 185, 109760, 2023 | 38 | 2023 |
Multi-harmonic phase demodulation method for instantaneous angular speed estimation using harmonic weighting C Peeters, J Antoni, Q Leclère, T Verstraeten, J Helsen Mechanical Systems and Signal Processing 167, 108533, 2022 | 36 | 2022 |
Multi-agent thompson sampling for bandit applications with sparse neighbourhood structures T Verstraeten, E Bargiacchi, PJK Libin, J Helsen, DM Roijers, A Nowé Nature Scientific Reports 10 (1), 6728, 2020 | 32* | 2020 |
Fleetwide data-enabled reliability improvement of wind turbines T Verstraeten, A Nowé, J Keller, Y Guo, S Sheng, J Helsen Renewable and Sustainable Energy Reviews 109, 428-437, 2019 | 32 | 2019 |
Bayesian best-arm identification for selecting influenza mitigation strategies PJK Libin, T Verstraeten, DM Roijers, J Grujic, K Theys, P Lemey, A Nowé Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 27 | 2019 |
Opponent learning awareness and modelling in multi-objective normal form games R Rădulescu, T Verstraeten, Y Zhang, P Mannion, DM Roijers, A Nowé Neural Computing and Applications, 1-23, 2022 | 20 | 2022 |
Expected scalarised returns dominance: A new solution concept for multi-objective decision making CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion Neural Computing and Applications, 1-21, 2022 | 17 | 2022 |
Scalable Optimization for Wind Farm Control using Coordination Graphs T Verstraeten, PJ Daems, E Bargiacchi, DM Roijers, PJK Libin, J Helsen International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2021 | 16 | 2021 |
Cooperative Prioritized Sweeping. E Bargiacchi, T Verstraeten, DM Roijers AAMAS, 160-168, 2021 | 15 | 2021 |
Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms X Chesterman, T Verstraeten, PJ Daems, A Nowé, J Helsen Wind Energy Science 8 (6), 893-924, 2023 | 14 | 2023 |
Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloud-computing environment J Helsen, C Peeters, T Verstraeten, J Verbeke, N Gioia, A Nowé International Conference on Noise and Vibration Engineering (ISMA), 17-19, 2018 | 14 | 2018 |
Condition monitoring of wind turbines and extraction of healthy training data using an ensemble of advanced statistical anomaly detection models X Chesterman, T Verstraeten, PJ Daems, A Nowé, J Helsen Annual Conference of the PHM Society 13 (1), 2021 | 11 | 2021 |
Edge computing for advanced vibration signal processing T Verstraeten, FG Marulanda, C Peeters, PJ Daems, A Nowé, J Helsen Surveillance, Vishno and AVE conferences, 2019 | 9 | 2019 |
Model-based multi-agent reinforcement learning with cooperative prioritized sweeping E Bargiacchi, T Verstraeten, DM Roijers, A Nowé arXiv preprint arXiv:2001.07527, 2020 | 7 | 2020 |