Timothy Verstraeten
Timothy Verstraeten
Post-doctoral researcher in Computer Science, Vrije Universiteit Brussel
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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
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 Discussions 2021, 1-35, 2021
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
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
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
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
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
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
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
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
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
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
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
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
Cooperative Prioritized Sweeping.
E Bargiacchi, T Verstraeten, DM Roijers
AAMAS, 160-168, 2021
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
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
Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated ondata from operational wind farms
X Chesterman, T Verstraeten, PJ Daems, A Nowé, J Helsen
Wind Energy Science Discussions 2023, 1-41, 2023
The detection of generator bearing failures on wind turbines using machine learning based anomaly detection
X Chesterman, T Verstraeten, PJ Daems, FP Sanjines, A Nowe, J Helsen
Journal of Physics: Conference Series 2265 (3), 032066, 2022
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
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