Louis Wehenkel
Orcid: 0000-0001-6649-2405Affiliations:
- University of Liège, Belgium
According to our database1,
Louis Wehenkel
authored at least 92 papers
between 1989 and 2021.
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Bibliography
2021
From global to local MDI variable importances for random forests and when they are Shapley values.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Supervised learning of convex piecewise linear approximations of optimization problems.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Proc. IEEE, 2020
Bayesian estimates of transmission line outage rates that consider line dependencies.
CoRR, 2020
2019
Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks.
IEEE Trans. Control. Netw. Syst., 2019
Gradient tree boosting with random output projections for multi-label classification and multi-output regression.
CoRR, 2019
2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Towards generic image classification using tree-based learning: An extensive empirical study.
Pattern Recognit. Lett., 2016
CoRR, 2016
Bioinform., 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Probabilistic Reliability Management Approach and Criteria for power system real-time operation.
Proceedings of the Power Systems Computation Conference, 2016
2015
2014
Proceedings of the 2014 Power Systems Computation Conference, 2014
Proceedings of the 2014 Power Systems Computation Conference, 2014
Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Rev. d'Intelligence Artif., 2013
Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning.
INFORMS J. Comput., 2013
BMC Bioinform., 2013
Ann. Oper. Res., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search
CoRR, 2012
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery.
Bioinform., 2012
Decoding Spontaneous Brain Activity from fMRI Using Gaussian Processes: Tracking Brain Reactivation.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Agents and Artificial Intelligence - 4th International Conference, 2012
Learning to Play K-armed Bandit Problems.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Supervised learning to tune simulated annealing for in silico protein structure prediction.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning.
Proceedings of the Discovery Science - 15th International Conference, 2012
2011
Rev. d'Intelligence Artif., 2011
Data validation and missing data reconstruction using self-organizing map for water treatment.
Neural Comput. Appl., 2011
Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods.
Proceedings of the Pattern Recognition in Bioinformatics, 2011
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Optimal Sample Selection for Batch-mode Reinforcement Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Iterative multi-task sequence labeling for predicting structural properties of proteins.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Active exploration by searching for experiments that falsify the computed control policy.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Incremental indexing and distributed image search using shared randomized vocabularies.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010
Proceedings of the Agents and Artificial Intelligence - Second International Conference, 2010
A Cautious Approach to Generalization in Reinforcement Learning.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
Towards sub-quadratic learning of probability density models in the form of mixtures of trees.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2009
Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2009
IPSJ Trans. Comput. Vis. Appl., 2009
Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009
Proceedings of the Stochastic Algorithms: Foundations and Applications, 2009
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
Inferring bounds on the performance of a control policy from a sample of trajectories.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
2008
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008
Exploiting tree-based variable importances to selectively identify relevant variables.
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008
Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
2007
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities.
Neurocomputing, 2007
Proceedings of the Machine Learning, 2007
2006
Proceedings of the Advances in Machine Vision, 2006
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006
Proceedings of the Machine Learning, 2006
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2005
Bioinform., 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
Proceedings of the Computer Vision for Biomedical Image Applications, 2005
Segment and Combine Approach for Biological Sequence Classification.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
2004
Modifying eigenvalue interactions near weak resonance.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004
2003
Erratum to "A complete fuzzy decision tree technique": [Fuzzy Sets and Systems 138 (2003) 221-254].
Fuzzy Sets Syst., 2003
Proceedings of the Research and Development in Intelligent Systems XX, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2002
On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures.
Proceedings of the UAI '02, 2002
2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000
1999
Automatic induction of fuzzy decision trees and its application to power system security assessment.
Fuzzy Sets Syst., 1999
1998
Distance Rejection in the Context of Electric Power System Security Assessment Based on Automatic Learning.
Proceedings of the Advances in Pattern Recognition, 1998
1997
1991
1989
Inductive inference applied to on-line transient stability assessment of electric power systems.
Autom., 1989