Timothy Verstraeten
Timothy Verstraeten
Doctoral Researcher in Computer Science, Vrije Universiteit Brussel
Geverifieerd e-mailadres voor vub.ac.be
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Jaar
Bayesian best-arm identification for selecting influenza mitigation strategies
PJK Libin, T Verstraeten, DM Roijers, J Grujic, K Theys, P Lemey, A Nowé
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
112018
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
102018
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
42019
Efficient evaluation of influenza mitigation strategies using preventive bandits
P Libin, T Verstraeten, K Theys, DM Roijers, P Vrancx, A Nowé
International Conference on Autonomous Agents and Multiagent Systems, 67-85, 2017
42017
Thompson Sampling for m-top Exploration.
P Libin, T Verstraeten, DM Roijers, W Wang, K Theys, A Nowé
BNAIC/BENELEARN, 2019
32019
Deep reinforcement learning for large-scale epidemic control
P Libin, A Moonens, T Verstraeten, F Perez-Sanjines, N Hens, P Lemey, ...
arXiv preprint arXiv:2003.13676, 2020
22020
Bayesian Anytime m-top Exploration
P Libin, T Verstraeten, DM Roijers, W Wang, K Theys, A Nowe
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
22019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers
FG Marulanda, P Libin, T Verstraeten, A Nowé
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
22018
Reinforcement learning for fleet applications using coregionalized gaussian processes
T Verstraeten, A Nowé
Adaptive Learning Agents (ALA) Workshop at AAMAS). IFAAMAS 57, 2018
22018
Fleet-oriented pattern mining combined with time series signature extraction for understanding of wind farm response to storm conditions
PJ Daems, L Feremans, T Verstraeten, B Cule, B Goethals, J Helsen
2*
Multi-Agent thompson Sampling for Bandit Applications with Sparse neighbourhood Structures
T Verstraeten, E Bargiacchi, PJK Libin, J Helsen, DM Roijers, A Nowé
Scientific Reports 10 (1), 1-13, 2020
12020
Thompson sampling for factored multi-agent bandits
T Verstraeten, E Bargiacchi, PJK Libin, DM Roijers, A Nowé
arXiv preprint arXiv:1911.10120, 2019
12019
Fleet control using coregionalized gaussian process policy iteration
T Verstraeten, PJK Libin, A Nowé
arXiv preprint arXiv:1911.10121, 2019
12019
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), 2018
12018
Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping
E Bargiacchi, T Verstraeten, DM Roijers, A Nowé
arXiv preprint arXiv:2001.07527, 2020
2020
Combining Machine Learning and Operational Modal Analysis Approaches to Gain Insights in Wind Turbine Drivetrain Dynamics
N Gioia, PJ Daems, T Verstraeten, P Guillaume, J Helsen
Topics in Modal Analysis & Testing, Volume 8, 293-299, 2020
2020
Advanced Vibration Signal Processing Using Edge Computing to Monitor Wind Turbine Drivetrains
C Peeters, T Verstraeten, A Nowé, PJ Daems, J Helsen
International Conference on Offshore Mechanics and Arctic Engineering 59353 …, 2019
2019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers
F Gomez Marulanda, P Libin, T Verstraeten, A Nowé
arXiv, arXiv: 1909.13726, 2019
2019
Edge computing for advanced vibration signal processing
T Verstraeten, FG Marulanda, C Peeters, PJ Daems, A Nowé, J Helsen
2019
Wind Turbine Planetary Gear Fault Identification Using Statistical Condition Indicators and Machine Learning
C Peeters, T Verstraeten, A Nowé, J Helsen
International Conference on Offshore Mechanics and Arctic Engineering 58899 …, 2019
2019
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Artikelen 1–20