| 2021 | ESANN | Supervised learning of convex piecewise linear approximations of optimization problems. | Laurine Duchesne, Quentin Louveaux, Louis Wehenkel |
| 2018 | AISTATS | Random Subspace with Trees for Feature Selection Under Memory Constraints. | Antonio Sutera, Clia Chtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts |
| 2016 | UAI | Context-dependent feature analysis with random forests. | Antonio Sutera, Gilles Louppe, Vn Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts |
| 2012 | DIS | Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning. | Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst |
| 2012 | ECAI | Comparator selection for RPC with many labels. | Samuel Hiard, Pierre Geurts, Louis Wehenkel |
| 2012 | ESANN | Supervised learning to tune simulated annealing for in silico protein structure prediction. | Alejandro Marcos Alvarez, Francis Maes, Louis Wehenkel |
| 2012 | ESANN | L1-based compression of random forest models. | Arnaud Joly, Franois Schnitzler, Pierre Geurts, Louis Wehenkel |
| 2012 | ICAART | Learning to Play K-armed Bandit Problems. | Francis Maes, Louis Wehenkel, Damien Ernst |
| 2012 | ICAART | Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case. | Francis Maes, Louis Wehenkel, Damien Ernst |
| 2011 | ESANN | Iterative multi-task sequence labeling for predicting structural properties of proteins. | Francis Maes, Julien Becker, Louis Wehenkel |
| 2011 | ICAART | Optimal Sample Selection for Batch-mode Reinforcement Learning. | Emmanuel Rachelson, Franois Schnitzler, Louis Wehenkel, Damien Ernst |
| 2010 | ESANN | Towards sub-quadratic learning of probability density models in the form of mixtures of trees. | Franois Schnitzler, Philippe Leray, Louis Wehenkel |
| 2010 | ICAART | A Cautious Approach to Generalization in Reinforcement Learning. | Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst |
| 2010 | ICAART | Towards Min Max Generalization in Reinforcement Learning. | Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst |
| 2009 | ECSQARU | Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. | Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel |
| 2008 | UAI | Learning Inclusion-Optimal Chordal Graphs. | Vincent Auvray, Louis Wehenkel |
| 2007 | ACCV | Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. | Raphal Mare, Pierre Geurts, Louis Wehenkel |
| 2007 | ICML | Gradient boosting for kernelized output spaces. | Pierre Geurts, Louis Wehenkel, Florence d'Alch-Buc |
| 2006 | ICML | Kernelizing the output of tree-based methods. | Pierre Geurts, Louis Wehenkel, Florence d'Alch-Buc |
| 2006 | ISAIM | A Semi-Algebraic Description of Naive Bayes Models with Two Hidden Classes. | Vincent Auvray, Pierre Geurts, Louis Wehenkel |
| 2005 | CIBCB | Segment and Combine Approach for Biological Sequence Classification. | Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel |
| 2005 | CVPR | Random Subwindows for Robust Image Classification. | Raphal Mare, Pierre Geurts, Justus H. Piater, Louis Wehenkel |
| 2005 | ICML | Closed-form dual perturb and combine for tree-based models. | Pierre Geurts, Louis Wehenkel |
| 2004 | ISCAS | Modifying eigenvalue interactions near weak resonance. | Vincent Auvray, Ian Dobson, Louis Wehenkel |
| 2003 | SGAI | A Comparison of Generic Machine Learning Algorithms for Image Classification. | Raphal Mare, Pierre Geurts, Giorgio Visimberga, Justus H. Piater, Louis Wehenkel |
| 2002 | UAI | On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures. | Vincent Auvray, Louis Wehenkel |
| 1998 | SSPR | Distance Rejection in the Context of Electric Power System Security Assessment Based on Automatic Learning. | Isabelle Houben, Louis Wehenkel |