متابعة
Louis Wehenkel
Louis Wehenkel
Professor of EE&CS, Montefiore Institute, ULiège - University of Liège
بريد إلكتروني تم التحقق منه على ulg.ac.be - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Extremely randomized trees‏
P Geurts, D Ernst, L Wehenkel‏
Machine learning 63, 3-42, 2006‏
93352006
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
20592010
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
19262012
Tree-based batch mode reinforcement learning‏
D Ernst, P Geurts, L Wehenkel‏
Journal of Machine Learning Research 6, 503-556, 2005‏
15562005
Understanding variable importances in forests of randomized trees‏
G Louppe, L Wehenkel, A Sutera, P Geurts‏
Advances in neural information processing systems 26, 2013‏
14202013
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
5952011
A complete fuzzy decision tree technique‏
C Olaru, L Wehenkel‏
Fuzzy sets and systems 138 (2), 221-254, 2003‏
5932003
Automatic learning techniques in power systems‏
LA Wehenkel‏
Springer Science & Business Media, 1998‏
4191998
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
3442005
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 28 (4), 4909-4917, 2013‏
3272013
Power systems stability control: reinforcement learning framework‏
D Ernst, M Glavic, L Wehenkel‏
IEEE transactions on power systems 19 (1), 427-435, 2004‏
2982004
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
2842009
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
2702008
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
2452007
A machine learning-based approximation of strong branching‏
A Marcos Alvarez, Q Louveaux, L Wehenkel‏
INFORMS Journal on Computing 29 (1), 185-195, 2017‏
2422017
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
2412007
Recent developments in machine learning for energy systems reliability management‏
L Duchesne, E Karangelos, L Wehenkel‏
Proceedings of the IEEE 108 (9), 1656-1676, 2020‏
2252020
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
2111989
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
2071997
Collaborative analysis of multi-gigapixel imaging data using Cytomine‏
R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ...‏
Bioinformatics 32 (9), 1395-1401, 2016‏
2042016
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مقالات 1–20