Louis Wehenkel
Louis Wehenkel
Professor of Electrical Engineering and Computer Science, University of Liège
Verifierad e-postadress på ulg.ac.be - Startsida
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Citeras av
Extremely randomized trees
P Geurts, D Ernst, L Wehenkel
Machine learning 63 (1), 3-42, 2006
Wisdom of crowds for robust gene network inference
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature Methods, 796–804, 2012
Tree-based batch mode reinforcement learning
D Ernst, P Geurts, L Wehenkel
Journal of Machine Learning Research 6, 503-556, 2005
Inferring regulatory networks from expression data using tree-based methods
VA Huynh-Thu, A Irrthum, L Wehenkel, P Geurts
PLoS One 5 (9), e12776, 2010
Understanding variable importances in forests of randomized trees
G Louppe, L Wehenkel, A Sutera, P Geurts
Advances in neural information processing systems 26, 2013
A complete fuzzy decision tree technique
C Olaru, L Wehenkel
Fuzzy sets and systems 138 (2), 221-254, 2003
State-of-the-art, challenges, and future trends in security constrained optimal power flow
F Capitanescu, JLM Ramos, P Panciatici, D Kirschen, AM Marcolini, ...
Electric Power Systems Research 81 (8), 1731-1741, 2011
Automatic learning techniques in power systems
LA Wehenkel
Springer Science & Business Media, 2012
Random subwindows for robust image classification
R Marée, P Geurts, J Piater, L Wehenkel
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
Power systems stability control: reinforcement learning framework
D Ernst, M Glavic, L Wehenkel
IEEE transactions on power systems 19 (1), 427-435, 2004
Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions
S Fliscounakis, P Panciatici, F Capitanescu, L Wehenkel
IEEE Transactions on Power Systems, 1-9, 2013
Interior-point based algorithms for the solution of optimal power flow problems
F Capitanescu, M Glavic, D Ernst, L Wehenkel
Electric Power systems research 77 (5-6), 508-517, 2007
Contingency filtering techniques for preventive security-constrained optimal power flow
F Capitanescu, M Glavic, D Ernst, L Wehenkel
IEEE Transactions on Power Systems 22 (4), 1690-1697, 2007
An artificial intelligence framework for online transient stability assessment of power systems
L Wehenkel, T Van Cutsem, M Ribbens-Pavella
IEEE Transactions on Power Systems 4 (2), 789-800, 1989
Supervised learning with decision tree-based methods in computational and systems biology
P Geurts, A Irrthum, L Wehenkel
Molecular Biosystems 5 (12), 1593-1605, 2009
SIME: A hybrid approach to fast transient stability assessment and contingency selection
Y Zhang, L Wehenkel, P Rousseaux, M Pavella
International Journal of Electrical Power & Energy Systems 19 (3), 195-208, 1997
Reinforcement learning versus model predictive control: a comparison on a power system problem
D Ernst, M Glavic, F Capitanescu, L Wehenkel
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008
Machine learning approaches to power-system security assessment
L Wehenkel
IEEE Expert 12 (5), 60-72, 1997
Decision tree based transient stability method a case study
L Wehenkel, M Pavella, E Euxibie, B Heilbronn
IEEE Transactions on Power Systems 9 (1), 459-469, 1994
Proteomic mass spectra classification using decision tree based ensemble methods
P Geurts, M Fillet, D De Seny, MA Meuwis, M Malaise, MP Merville, ...
Bioinformatics 21 (14), 3138-3145, 2005
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