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ORCIDLouis Wehenkel
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- affiliation: University of Liège, Belgium
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2020 – today
- 2021
[c58]Laurine Duchesne, Quentin Louveaux, Louis Wehenkel
:
Supervised learning of convex piecewise linear approximations of optimization problems. ESANN 2021- [c57]Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts:
From global to local MDI variable importances for random forests and when they are Shapley values. NeurIPS 2021: 3533-3543 - [i15]Efthymios Karangelos, Louis Wehenkel:
Cyber-physical risk modeling with imperfect cyber-attackers. CoRR abs/2110.00301 (2021) - [i14]Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts:
From global to local MDI variable importances for random forests and when they are Shapley values. CoRR abs/2111.02218 (2021) - 2020
- [j27]Laurine Duchesne, Efthymios Karangelos, Louis Wehenkel:
Recent Developments in Machine Learning for Energy Systems Reliability Management. Proc. IEEE 108(9): 1656-1676 (2020) - [i13]Kai Zhou, James R. Cruise, Chris J. Dent, Ian Dobson, Louis Wehenkel, Zhaoyu Wang, Amy L. Wilson:
Bayesian estimates of transmission line outage rates that consider line dependencies. CoRR abs/2001.08681 (2020)
2010 – 2019
- 2019
- [j26]Michael Chertkov, Mihailo R. Jovanovic, Bernard C. Lesieutre, Steven H. Low, Pascal Van Hentenryck, Louis Wehenkel:
Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks. IEEE Trans. Control. Netw. Syst. 6(3): 922-924 (2019) - [i12]Arnaud Joly, Louis Wehenkel, Pierre Geurts:
Gradient tree boosting with random output projections for multi-label classification and multi-output regression. CoRR abs/1905.07558 (2019) - 2018
- [c56]Antonio Sutera, Célia Châtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts:
Random Subspace with Trees for Feature Selection Under Memory Constraints. AISTATS 2018: 929-937 - [i11]Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel:
Chance-Constrained Outage Scheduling using a Machine Learning Proxy. CoRR abs/1801.00500 (2018) - 2017
- [j25]Alejandro Marcos Alvarez, Quentin Louveaux, Louis Wehenkel:
A Machine Learning-Based Approximation of Strong Branching. INFORMS J. Comput. 29(1): 185-195 (2017) - [i10]Antonio Sutera, Célia Châtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts:
Random Subspace with Trees for Feature Selection Under Memory Constraints. CoRR abs/1709.01177 (2017) - 2016
- [j24]Raphaël Marée, Loic Rollus, Benjamin Stevens, Renaud Hoyoux, Gilles Louppe, Remy Vandaele, Jean-Michel Begon, Philipp Kainz, Pierre Geurts, Louis Wehenkel:
Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinform. 32(9): 1395-1401 (2016) - [j23]Raphaël Marée, Pierre Geurts, Louis Wehenkel:
Towards generic image classification using tree-based learning: An extensive empirical study. Pattern Recognit. Lett. 74: 17-23 (2016) - [j22]Hongbin Sun, Feng Zhao, Hao Wang, Kang Wang, Weiyong Jiang, Qinglai Guo, Boming Zhang, Louis Wehenkel:
Automatic Learning of Fine Operating Rules for Online Power System Security Control. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1708-1719 (2016) - [c55]Efthymios Karangelos, Louis Wehenkel:
Probabilistic Reliability Management Approach and Criteria for power system real-time operation. PSCC 2016: 1-9 - [c54]Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts:
Context-dependent feature analysis with random forests. UAI 2016 - [i9]Efthymios Karangelos, Patrick Panciatici, Louis Wehenkel:
Whither probabilistic security management for real-time operation of power systems ? CoRR abs/1602.05537 (2016) - [i8]Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts:
Context-dependent feature analysis with random forests. CoRR abs/1605.03848 (2016) - [i7]Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel:
Unit Commitment using Nearest Neighbor as a Short-Term Proxy. CoRR abs/1611.10215 (2016) - 2015
- [j21]François Van Lishout, Francesco Gadaleta, Jason H. Moore, Louis Wehenkel, Kristel Van Steen:
gammaMAXT: a fast multiple-testing correction algorithm. BioData Min. 8: 36 (2015) - 2014
- [c53]Raphaël Marée, Loic Rollus, Benjamin Stevens, Gilles Louppe, Olivier Caubo, Natacha Rocks, Sandrine Bekaert, Didier Cataldo, Louis Wehenkel:
A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning. ISBI 2014: 902-906 - [c52]Arnaud Joly, Pierre Geurts, Louis Wehenkel:
Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification. ECML/PKDD (1) 2014: 607-622 - [c51]Florin Capitanescu, Louis Wehenkel:
An AC OPF-based heuristic algorithm for optimal transmission switching. PSCC 2014: 1-6 - [c50]Patrick Panciatici, Marco C. Campi, Simone Garatti, Steven H. Low, Daniel K. Molzahn, Andy X. Sun, Louis Wehenkel:
Advanced optimization methods for power systems. PSCC 2014: 1-18 - [i6]Arnaud Joly, Pierre Geurts, Louis Wehenkel:
Random forests with random projections of the output space for high dimensional multi-label classification. CoRR abs/1404.3581 (2014) - [i5]Marie Schrynemackers, Louis Wehenkel, M. Madan Babu, Pierre Geurts:
Classifying pairs with trees for supervised biological network inference. CoRR abs/1404.6074 (2014) - 2013
- [j20]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Batch mode reinforcement learning based on the synthesis of artificial trajectories. Ann. Oper. Res. 208(1): 383-416 (2013) - [j19]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 Bioinform. 14: 138 (2013) - [j18]Boris Defourny, Damien Ernst, Louis Wehenkel:
Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning. INFORMS J. Comput. 25(3): 488-501 (2013) - [j17]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. Rev. d'Intelligence Artif. 27(2): 171-194 (2013) - [c49]Gilles Louppe, Louis Wehenkel, Antonio Sutera, Pierre Geurts:
Understanding variable importances in forests of randomized trees. NIPS 2013: 431-439 - [i4]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) - 2012
- [j16]Vân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, Pierre Geurts:
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery. Bioinform. 28(13): 1766-1774 (2012) - [c48]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 - [c47]Samuel Hiard, Pierre Geurts, Louis Wehenkel:
Comparator selection for RPC with many labels. ECAI 2012: 408-413 - [c46]Alejandro Marcos Alvarez, Francis Maes, Louis Wehenkel:
Supervised learning to tune simulated annealing for in silico protein structure prediction. ESANN 2012 - [c45]Arnaud Joly, François Schnitzler, Pierre Geurts, Louis Wehenkel:
L1-based compression of random forest models. ESANN 2012 - [c44]Francis Maes, Louis Wehenkel, Damien Ernst:
Learning to Play K-armed Bandit Problems. ICAART (1) 2012: 74-81 - [c43]Francis Maes, Louis Wehenkel, Damien Ernst:
Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case. ICAART (Revised Selected Papers) 2012: 100-115 - [c42]Francis Maes, Pierre Geurts, Louis Wehenkel:
Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods. ECML/PKDD (1) 2012: 191-206 - [c41]Jessica Schrouff, Caroline Kussé, Louis Wehenkel, Pierre Maquet, Christophe Phillips:
Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation. PRNI 2012: 61-64 - [i3]Vincent Auvray, Louis Wehenkel:
Learning Inclusion-Optimal Chordal Graphs. CoRR abs/1206.3236 (2012) - [i2]Francis Maes, Damien Ernst, Louis Wehenkel:
Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case. CoRR abs/1207.5208 (2012) - [i1]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) - 2011
- [j15]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 Comput. Appl. 20(4): 575-588 (2011) - [j14]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Estimation Monte Carlo sans modèle de politiques de décision. Rev. d'Intelligence Artif. 25(3): 321-343 (2011) - [c40]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Active exploration by searching for experiments that falsify the computed control policy. ADPRL 2011: 40-47 - [c39]Francis Maes, Julien Becker, Louis Wehenkel:
Iterative multi-task sequence labeling for predicting structural properties of proteins. ESANN 2011 - [c38]Francis Maes, Louis Wehenkel, Damien Ernst:
Automatic Discovery of Ranking Formulas for Playing with Multi-armed Bandits. EWRL 2011: 5-17 - [c37]Francis Maes, Louis Wehenkel, Damien Ernst:
Optimized Look-ahead Tree Search Policies. EWRL 2011: 189-200 - [c36]Emmanuel Rachelson, François Schnitzler, Louis Wehenkel, Damien Ernst:
Optimal Sample Selection for Batch-mode Reinforcement Learning. ICAART (1) 2011: 41-50 - [c35]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 - [c34]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 - 2010
- [j13]Christophe Charrier, Olivier Lezoray, Abderrahim Elmoataz, Robert Bergevin, Fathallah Nouboud, Louis Wehenkel:
Editorial. Signal Process. 90(8): 2331-2332 (2010) - [c33]François Schnitzler, Philippe Leray, Louis Wehenkel:
Towards sub-quadratic learning of probability density models in the form of mixtures of trees. ESANN 2010 - [c32]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Towards Min Max Generalization in Reinforcement Learning. ICAART (Revised Selected Papers) 2010: 61-77 - [c31]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
A Cautious Approach to Generalization in Reinforcement Learning. ICAART (1) 2010: 64-73 - [c30]Raphaël Marée, Philippe Denis, Louis Wehenkel, Pierre Geurts:
Incremental indexing and distributed image search using shared randomized vocabularies. Multimedia Information Retrieval 2010: 91-100 - [c29]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Model-Free Monte Carlo-like Policy Evaluation. AISTATS 2010: 217-224
2000 – 2009
- 2009
- [j12]Raphaël Marée, Pierre Geurts, Louis Wehenkel:
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees. IPSJ Trans. Comput. Vis. Appl. 1: 46-57 (2009) - [j11]Damien Ernst, Mevludin Glavic, Florin Capitanescu, Louis Wehenkel:
Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem. IEEE Trans. Syst. Man Cybern. Part B 39(2): 517-529 (2009) - [c28]Raphaël Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Inferring bounds on the performance of a control policy from a sample of trajectories. ADPRL 2009: 117-123 - [c27]Boris Defourny, Damien Ernst, Louis Wehenkel:
Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces. ADPRL 2009: 145-152 - [c26]Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel:
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. ECSQARU 2009: 156-167 - [c25]Boris Defourny, Damien Ernst, Louis Wehenkel:
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies. SAGA 2009: 61-73 - [c24]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 - 2008
- [c23]Boris Defourny, Damien Ernst, Louis Wehenkel:
Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees. EWRL 2008: 1-14 - [c22]Vincent Auvray, Louis Wehenkel:
Learning Inclusion-Optimal Chordal Graphs. UAI 2008: 18-25 - [c21]Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer:
Preface. FSDM 2008: 1-4 - [c20]Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts:
Exploiting tree-based variable importances to selectively identify relevant variables. FSDM 2008: 60-73 - [e1]Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer:
Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, FSDM 2008, held at ECML-PKDD 2008, Antwerp, Belgium, September 15, 2008. JMLR Proceedings 4, JMLR.org 2008 [contents] - 2007
- [j10]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) - [c19]Raphaël Marée, Pierre Geurts, Louis Wehenkel:
Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. ACCV (2) 2007: 611-620 - [c18]Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc:
Gradient boosting for kernelized output spaces. ICML 2007: 289-296 - 2006
- [j9]Pierre Geurts, Damien Ernst, Louis Wehenkel:
Extremely randomized trees. Mach. Learn. 63(1): 3-42 (2006) - [c17]Damien Ernst, Guy-Bart Stan, Jorge M. Gonçalves, Louis Wehenkel:
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. CDC 2006: 667-672 - [c16]Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc:
Kernelizing the output of tree-based methods. ICML 2006: 345-352 - [c15]Vincent Auvray, Pierre Geurts, Louis Wehenkel:
A Semi-Algebraic Description of Naive Bayes Models with Two Hidden Classes. AI&M 2006 - [c14]Damien Ernst, Raphaël Marée, Louis Wehenkel:
Reinforcement Learning with Raw Image Pixels as Input State. IWICPAS 2006: 446-454 - 2005
- [j8]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. Bioinform. 21(14): 3138-3145 (2005) - [j7]Damien Ernst, Pierre Geurts, Louis Wehenkel:
Tree-Based Batch Mode Reinforcement Learning. J. Mach. Learn. Res. 6: 503-556 (2005) - [c13]Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel:
Segment and Combine Approach for Biological Sequence Classification. CIBCB 2005: 194-201 - [c12]Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel:
Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA 2005: 220-229 - [c11]Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel:
Random Subwindows for Robust Image Classification. CVPR (1) 2005: 34-40 - [c10]Pierre Geurts, Louis Wehenkel:
Closed-form dual perturb and combine for tree-based models. ICML 2005: 233-240 - [c9]Pierre Geurts, Louis Wehenkel:
Segment and Combine Approach for Non-parametric Time-Series Classification. PKDD 2005: 478-485 - 2004
- [c8]Vincent Auvray, Ian Dobson, Louis Wehenkel:
Modifying eigenvalue interactions near weak resonance. ISCAS (5) 2004: 992-995 - 2003
- [j6]Cristina Olaru, Louis Wehenkel:
A complete fuzzy decision tree technique. Fuzzy Sets Syst. 138(2): 221-254 (2003) - [j5]Cristina Olaru, Louis Wehenkel:
Erratum to "A complete fuzzy decision tree technique": [Fuzzy Sets and Systems 138 (2003) 221-254]. Fuzzy Sets Syst. 140(3): 563-565 (2003) - [c7]Damien Ernst, Pierre Geurts, Louis Wehenkel:
Iteratively Extending Time Horizon Reinforcement Learning. ECML 2003: 96-107 - [c6]Raphaël Marée, Pierre Geurts, Giorgio Visimberga, Justus H. Piater, Louis Wehenkel:
A Comparison of Generic Machine Learning Algorithms for Image Classification. SGAI Conf. 2003: 169-182 - 2002
- [c5]Vincent Auvray, Louis Wehenkel:
On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures. UAI 2002: 26-35 - 2000
- [c4]Pierre Geurts, Louis Wehenkel:
Investigation and Reduction of Discretization Variance in Decision Tree Induction. ECML 2000: 162-170 - [c3]Christophe Druet, Damien Ernst, Louis Wehenkel:
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control. PKDD 2000: 86-95 - [c2]Pierre Geurts, Louis Wehenkel:
Temporal Machine Learning for Switching Control. PKDD 2000: 401-408
1990 – 1999
- 1999
- [j4]Xavier Boyen, Louis Wehenkel:
Automatic induction of fuzzy decision trees and its application to power system security assessment. Fuzzy Sets Syst. 102(1): 3-19 (1999) - 1998
- [c1]Isabelle Houben, Louis Wehenkel:
Distance Rejection in the Context of Electric Power System Security Assessment Based on Automatic Learning. SSPR/SPR 1998: 756-764 - 1997
- [j3]Louis Wehenkel:
Machine-Learning Approaches to Power-System Security Assessment. IEEE Expert 12(5): 60-72 (1997) - 1991
- [j2]Louis Wehenkel, M. Pavella:
Decision trees and transient stability of electric power systems. Autom. 27(1): 115-134 (1991)
1980 – 1989
- 1989
- [j1]Louis Wehenkel, Th. Van Cutsem, M. Ribbens-Pavella:
Inductive inference applied to on-line transient stability assessment of electric power systems. Autom. 25(3): 445-451 (1989)
Coauthor Index
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