!!Louis Wehenkel - Selected Publications
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Extremely randomized trees, P Geurts, D Ernst, L Wehenkel, Machine learning 63, 3-42, 2006.\\
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Tree-based batch mode reinforcement learning, D Ernst, P Geurts, L Wehenkel, Journal of Machine Learning Research 6, 503-556, 2005.\\
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Inferring regulatory networks from expression data using tree-based methods, VA Huynh-Thu, A Irrthum, L Wehenkel, P Geurts, PLoS One 5 (9), 2010.\\
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Understanding variable importances in forests of randomized trees, G Louppe, L Wehenkel, A Sutera, P Geurts, Advances in neural information processing systems, 2013.\\
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A complete fuzzy decision tree technique, C Olaru, L Wehenkel, Fuzzy sets and systems 13(2), 221-254, 2003.\\
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Automatic learning techniques in power systems, L Wehenkel, Springer Science & Business Media, 1998.\\
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Random subwindows for robust image classification, R Marée, P Geurts, J Piater, L Wehenkel, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005.\\
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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.\\
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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.\\
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A machine learning-based approximation of strong branching, A Marcos Alvarez, Q Louveaux, L Wehenkel, INFORMS Journal on Computing 29 (1), 185-195, 2017.\\ \\[{ALLOW view All}][{ALLOW edit lwehenkel}][{ALLOW upload lwehenkel}][{ALLOW comment All}]