Louis Wehenkel

François Van Lishout, Jestinah M. Mahachie John, Elena S. Gusareva, Víctor Urrea, Isabelle Cleynen, Emilie Théâtre, Benoît Charloteaux, Malu Luz Calle, Louis Wehenkel, Kristel Van Steen: An efficient algorithm to perform multiple testing in epistasis screening. BMC Bioinformatics 14: 138 (2013)

Vincent Auvray, Louis Wehenkel: On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures. CoRR abs/1301.0553 (2013)

Vân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, Pierre Geurts: Statistical interpretation of machine learning-based feature importance scores for biomarker discovery. Bioinformatics 28(13): 1766-1774 (2012)

Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst: Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning. Discovery Science 2012: 37-51

Samuel Hiard, Pierre Geurts, Louis Wehenkel: Comparator selection for RPC with many labels. ECAI 2012: 408-413

Francis Maes, Louis Wehenkel, Damien Ernst: Learning to Play K-armed Bandit Problems. ICAART (1) 2012: 74-81

Francis Maes, Pierre Geurts, Louis Wehenkel: Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods. ECML/PKDD (1) 2012: 191-206

Vincent Auvray, Louis Wehenkel: Learning Inclusion-Optimal Chordal Graphs. CoRR abs/1206.3236 (2012)

Francis Maes, Damien Ernst, Louis Wehenkel: Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case. CoRR abs/1207.5208 (2012)

Tobias Jung, Louis Wehenkel, Damien Ernst, Francis Maes: Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search. CoRR abs/1208.4773 (2012)

B. Lamrini, El-K. Lakhal, Marie-Véronique Le Lann, Louis Wehenkel: Data validation and missing data reconstruction using self-organizing map for water treatment. Neural Computing and Applications 20(4): 575-588 (2011)

Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst: Estimation Monte Carlo sans modèle de politiques de décision. Revue d'Intelligence Artificielle 25(3): 321-343 (2011)

Francis Maes, Julien Becker, Louis Wehenkel: Iterative multi-task sequence labeling for predicting structural properties of proteins. ESANN 2011

Francis Maes, Louis Wehenkel, Damien Ernst: Automatic Discovery of Ranking Formulas for Playing with Multi-armed Bandits. EWRL 2011: 5-17

Francis Maes, Louis Wehenkel, Damien Ernst: Optimized Look-ahead Tree Search Policies. EWRL 2011: 189-200

Emmanuel Rachelson, François Schnitzler, Louis Wehenkel, Damien Ernst: Optimal Sample Selection for Batch-mode Reinforcement Learning. ICAART (1) 2011: 41-50

François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel: Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) 2011: 113-128

Olivier Stern, Raphaël Marée, Jessica Aceto, Nathalie Jeanray, Marc Muller, Louis Wehenkel, Pierre Geurts: Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods. PRIB 2011: 179-190

Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst: Model-Free Monte Carlo-like Policy Evaluation. Journal of Machine Learning Research - Proceedings Track 9: 217-224 (2010)

Christophe Charrier, Olivier Lezoray, Abderrahim Elmoataz, Robert Bergevin, Fathallah Nouboud, Louis Wehenkel: Editorial. Signal Processing 90(8): 2331-2332 (2010)

François Schnitzler, Philippe Leray, Louis Wehenkel: Towards sub-quadratic learning of probability density models in the form of mixtures of trees. ESANN 2010

Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst: A Cautious Approach to Generalization in Reinforcement Learning. ICAART (1) 2010: 64-73

Raphaël Marée, Philippe Denis, Louis Wehenkel, Pierre Geurts: Incremental indexing and distributed image search using shared randomized vocabularies. Multimedia Information Retrieval 2010: 91-100

Damien Ernst, Mevludin Glavic, Florin Capitanescu, Louis Wehenkel: Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(2): 517-529 (2009)

Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel: Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. ECSQARU 2009: 156-167

Boris Defourny, Damien Ernst, Louis Wehenkel: Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies. SAGA 2009: 61-73

Marie Dumont, Raphaël Marée, Louis Wehenkel, Pierre Geurts: Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees. VISAPP (2) 2009: 196-203

Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer: Preface. Journal of Machine Learning Research - Proceedings Track 4: 1-4 (2008)

Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts: Exploiting tree-based variable importances to selectively identify relevant variables. Journal of Machine Learning Research - Proceedings Track 4: 60-73 (2008)

Boris Defourny, Damien Ernst, Louis Wehenkel: Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees. EWRL 2008: 1-14

Vincent Auvray, Louis Wehenkel: Learning Inclusion-Optimal Chordal Graphs. UAI 2008: 18-25

Alberto Del Angel, Pierre Geurts, Damien Ernst, Mevludin Glavic, Louis Wehenkel: Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. Neurocomputing 70(16-18): 2668-2678 (2007)

Raphaël Marée, Pierre Geurts, Louis Wehenkel: Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. ACCV (2) 2007: 611-620

Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Gradient boosting for kernelized output spaces. ICML 2007: 289-296

Pierre Geurts, Damien Ernst, Louis Wehenkel: Extremely randomized trees. Machine Learning 63(1): 3-42 (2006)

Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Kernelizing the output of tree-based methods. ICML 2006: 345-352

Vincent Auvray, Pierre Geurts, Louis Wehenkel: A Semi-Algebraic Description of Naive Bayes Models with Two Hidden Classes. ISAIM 2006

Damien Ernst, Raphaël Marée, Louis Wehenkel: Reinforcement Learning with Raw Image Pixels as Input State. IWICPAS 2006: 446-454

Pierre Geurts, Marianne Fillet, Dominique de Seny, Marie-Alice Meuwis, Michel Malaise, Marie-Paule Merville, Louis Wehenkel: Proteomic mass spectra classification using decision tree based ensemble methods. Bioinformatics 21(14): 3138-3145 (2005)

Damien Ernst, Pierre Geurts, Louis Wehenkel: Tree-Based Batch Mode Reinforcement Learning. Journal of Machine Learning Research 6: 503-556 (2005)

Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel: Segment and Combine Approach for Biological Sequence Classification. CIBCB 2005: 194-201

Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel: Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA 2005: 220-229

Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel: Random Subwindows for Robust Image Classification. CVPR (1) 2005: 34-40

Pierre Geurts, Louis Wehenkel: Closed-form dual perturb and combine for tree-based models. ICML 2005: 233-240

Pierre Geurts, Louis Wehenkel: Segment and Combine Approach for Non-parametric Time-Series Classification. PKDD 2005: 478-485

Vincent Auvray, Ian Dobson, Louis Wehenkel: Modifying eigenvalue interactions near weak resonance. ISCAS (5) 2004: 992-995

Cristina Olaru, Louis Wehenkel: A complete fuzzy decision tree technique. Fuzzy Sets and Systems 138(2): 221-254 (2003)

Cristina Olaru, Louis Wehenkel: Erratum to "A complete fuzzy decision tree technique": [Fuzzy Sets and Systems 138 (2003) 221-254]. Fuzzy Sets and Systems 140(3): 563-565 (2003)

Damien Ernst, Pierre Geurts, Louis Wehenkel: Iteratively Extending Time Horizon Reinforcement Learning. ECML 2003: 96-107

Vincent Auvray, Louis Wehenkel: On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures. UAI 2002: 26-35

Pierre Geurts, Louis Wehenkel: Investigation and Reduction of Discretization Variance in Decision Tree Induction. ECML 2000: 162-170

Christophe Druet, Damien Ernst, Louis Wehenkel: Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control. PKDD 2000: 86-95

Pierre Geurts, Louis Wehenkel: Temporal Machine Learning for Switching Control. PKDD 2000: 401-408

Isabelle Houben, Louis Wehenkel: Distance Rejection in the Context of Electric Power System Security Assessment Based on Automatic Learning. SSPR/SPR 1998: 756-764

Louis Wehenkel: Machine-Learning Approaches to Power-System Security Assessment. IEEE Expert 12(5): 60-72 (1997)

Louis Wehenkel, M. Pavella: Decision trees and transient stability of electric power systems. Automatica 27(1): 115-134 (1991)

Louis Wehenkel, Th. Van Cutsem, M. Ribbens-Pavella: Inductive inference applied to on-line transient stability assessment of electric power systems. Automatica 25(3): 445-451 (1989)