Wehenkel Louis

Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes stochastiques

Montefiore Institute

See author's contact details
ORCID
0000-0001-6649-2405
Main Referenced Co-authors
Geurts, Pierre  (93)
Ernst, Damien  (78)
Marée, Raphaël  (51)
Glavic, Mevludin  (32)
Pavella, Mania  (31)
Main Referenced Keywords
machine learning (35); Machine Learning (28); reinforcement learning (26); Machine learning (17); optimal power flow (16);
Main Referenced Unit & Research Centers
Giga-Systems Biology and Chemical Biology - ULiège [BE] (10)
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège [BE] (4)
GIGA-Bioinformatics (4)
Systems and Modeling Research Unit (4)
Systèmes et Modélisation (4)
Main Referenced Disciplines
Computer science (171)
Electrical & electronics engineering (147)
Biochemistry, biophysics & molecular biology (18)
Energy (9)
Engineering, computing & technology: Multidisciplinary, general & others (8)

Publications (total 331)

The most downloaded
34010 downloads
Geurts, P., Ernst, D., & Wehenkel, L. (April 2006). Extremely randomized trees. Machine Learning, 63 (1), 3-42. doi:10.1007/s10994-006-6226-1 https://hdl.handle.net/2268/9357

The most cited

5006 citations (Scopus®)

Geurts, P., Ernst, D., & Wehenkel, L. (April 2006). Extremely randomized trees. Machine Learning, 63 (1), 3-42. doi:10.1007/s10994-006-6226-1 https://hdl.handle.net/2268/9357

Books published as author or co-author

Wehenkel, L. (1997). Automatic learning techniques in power systems. Springer.

Book chapters or contributions to a collective book as author or co-author

Pavella, M., Wehenkel, L., & Ernst, D. (2023). Power Systems Operation and Control: Contributions of the Liège Group, 1970–2000. In J. S. Tietjen, M. D. Ilic, L. Bertlin Tjernberg, ... N. N. Schulz, Women in Power (pp. 247–263). Springer.
Peer reviewed

Ruiz-Vega, D., Wehenkel, L., Ernst, D., Pizano-Martinez, A., & Fuerte-Esquivel, C. (2014). Power system transient stability preventive and emergency control. In S. Savulescu (Ed.), Real-Time Stability in Power Systems 2nd Edition (pp. 123-158). Springer.

Marée, R., Wehenkel, L., & Geurts, P. (2013). Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval. In A. Criminisi & J. Shotton (Eds.), Decision Forests in Computer Vision and Medical Image Analysis, Advances in Computer Vision and Pattern Recognition (pp. 125-142). Springer.
Peer reviewed

Maes, F., Wehenkel, L., & Ernst, D. (2013). Meta-learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case. In J. Filipe & A. Fred (Eds.), Agents and Artificial Intelligence: 4th International Conference, ICAART 2012, Vilamoura, Portugal, February 6-8, 2012. Revised Selected Papers (pp. 110-115). Springer.
Peer reviewed

Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (2013). Gene regulatory network inference from systems genetics data using tree-based methods. In A. de la Fuente (Ed.), Gene Network Inference - Verification of Methods for Systems Genetics Data (pp. 63-85). Springer. doi:10.1007/978-3-642-45161-4_5
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2011). Multistage stochastic programming: A scenario tree based approach to planning under uncertainty. In L. E. Sucar, E. F. Morales, ... J. Hoey (Eds.), Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions. Hershey, United States - Pennsylvania: Information Science Publishing. doi:10.4018/978-1-60960-165-2.ch006
Peer reviewed

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2011). Towards min max generalization in reinforcement learning. In J. Filipe, A. Fred, ... B. Sharp (Eds.), Agents and Artificial Intelligence: International Conference, ICAART 2010, Valencia, Spain, January 2010, Revised Selected Papers (pp. 61-77). Springer.
Peer reviewed

Wehenkel, L., Ruiz-Vega, D., Ernst, D., & Pavella, M. (2005). Preventive and emergency control of power systems. In Real Time Stability in Power Systems - Techniques for Early Detection of the Risk of Blackout (pp. 199-232). Springer Berlin.

Wehenkel, L. (1993). Decision tree pruning using an additive information quality measure. In B. Bouchon-Meunier, L. Valverde, ... R. Yager (Eds.), Uncertainty in Intelligent Systems (pp. 397-411). Elsevier-North Holland.

Articles accepted in reviewed journal

Popli, N., Davoodi, E., Capitanescu, F., & Wehenkel, L. (28 December 2024). On the robustness of machine-learnt proxies for security constrained optimal power flow solvers. Sustainable Energy, Grids and Networks, 37, 101265. doi:10.1016/j.segan.2023.101265
Peer Reviewed verified by ORBi

Popli, N., Davoodi, E., Capitanescu, F., & Wehenkel, L. (March 2024). Machine learning based binding contingency pre-selection for AC-PSCOPF calculations. IEEE Transactions on Power Systems, 39 (2), 4751-4754. doi:10.1109/TPWRS.2023.3338971
Peer Reviewed verified by ORBi

Davoodi, E., Capitanescu, F., & Wehenkel, L. (2022). A Methodology to Evaluate Reactive Power Reserves Scarcity during the Energy Transition. IEEE Transactions on Power Systems, 1-14. doi:10.1109/TPWRS.2022.3216639
Peer Reviewed verified by ORBi

Zhou, K., Cruise, J. R., Dent, C. J., Dobson, I., Wehenkel, L., Wang, Z., & Wilson, A. L. (March 2021). Bayesian estimates of transmission line outage rates that consider line dependencies. IEEE Transactions on Power Systems, 36 (2), 1095-1106. doi:10.1109/TPWRS.2020.3012840
Peer Reviewed verified by ORBi

Karangelos, E., Perkin, S., & Wehenkel, L. (2020). Probabilistic Resilience Analysis of the Icelandic Power System under Extreme Weather. Applied Sciences. doi:10.3390/app10155089
Peer Reviewed verified by ORBi

Karangelos, E., & Wehenkel, L. (2020). Towards leveraging discrete grid flexibility in chance-constrained power system operation planning. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106571
Peer Reviewed verified by ORBi

Duchesne, L., Karangelos, E., Sutera, A., & Wehenkel, L. (2020). Machine Learning for Ranking Day-ahead Decisions in the Context of Short-term Operation Planning. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106548
Peer Reviewed verified by ORBi

Duchesne, L., Karangelos, E., & Wehenkel, L. (2020). Recent Developments in Machine Learning for Energy Systems Reliability Management. Proceedings of the IEEE. doi:10.1109/JPROC.2020.2988715
Peer Reviewed verified by ORBi

Karangelos, E., & Wehenkel, L. (September 2019). An iterative AC-SCOPF approach managing the contingency and corrective control failure uncertainties with a probabilistic guarantee. IEEE Transactions on Power Systems, 34 (5), 3780-3790. doi:10.1109/TPWRS.2019.2902486
Peer Reviewed verified by ORBi

Dalal, G., Gilboa, E., Mannor, S., & Wehenkel, L. (2019). Chance-Constrained Outage Scheduling using a Machine Learning Proxy. IEEE Transactions on Power Systems, On-line early access. doi:10.1109/TPWRS.2018.2889237
Peer Reviewed verified by ORBi

Marcos Alvarez, A., Louveaux, Q., & Wehenkel, L. (January 2017). A Machine Learning-Based Approximation of Strong Branching. INFORMS Journal on Computing, 29 (1), 185-195. doi:10.1287/ijoc.2016.0723
Peer Reviewed verified by ORBi

Sun, H., Zhao, F., Wang, H., Wang, K., Jiang, W., Guo, Q., Zhang, B., & Wehenkel, L. (August 2016). Automatic learning of fine operating rules for online power system security control. IEEE Transactions on Neural Networks and Learning Systems, 27 (8), 1708-1719. doi:10.1109/TNNLS.2015.2390621
Peer Reviewed verified by ORBi

Marée, R., Rollus, L., Stévens, B., Hoyoux, R., Louppe, G., Vandaele, R., Begon, J.-M., Kainz, P., Geurts, P., & Wehenkel, L. (2016). Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics, 7. doi:10.1093/bioinformatics/btw013
Peer Reviewed verified by ORBi

Marée, R., Geurts, P., & Wehenkel, L. (2016). Towards Generic Image Classification using Tree-based Learning: an Extensive Empirical Study. Pattern Recognition Letters, 74 (15), 17-23. doi:10.1016/j.patrec.2016.01.006
Peer Reviewed verified by ORBi

Van Lishout, F., Gadaleta, F., Moore, J. H., Wehenkel, L., & Van Steen, K. (20 November 2015). gammaMAXT: a fast multiple-testing correction algorithm. BioData Mining, 8 (36). doi:10.1186/s13040-015-0069-x
Peer Reviewed verified by ORBi

Schrynemackers, M., Wehenkel, L., Madan Babu, M., & Geurts, P. (11 May 2015). Classifying pairs with trees for supervised biological network inference. Molecular Biosystems, 11 (8), 2116-2125. doi:10.1039/c5mb00174a
Peer Reviewed verified by ORBi

Aceto, J., Nourizadeh-Lillabadi, R., Marée, R., Dardenne, N., Jeanray, N., Wehenkel, L., Aleström, P., van Loon, J., & Muller, M. (2015). Zebrafish bone and general physiology are differently affected by hormones or changes in gravity. PLoS ONE, 10 (6), 1-42. doi:10.1371/journal.pone.0126928
Peer Reviewed verified by ORBi

Jeanray, N., Marée, R., Pruvot, B., Stern, O., Geurts, P., Wehenkel, L., & Muller, M. (2015). Phenotype Classification of Zebrafish Embryos by Supervised Learning. PLoS ONE, 10 (1), 0116989, 1-20. doi:10.1371/journal.pone.0116989
Peer Reviewed verified by ORBi

Wang, D., Glavic, M., & Wehenkel, L. (November 2014). Trajectory-Based Supplementary Damping Control for Power System Electromechanical Oscillations. IEEE Transactions on Power Systems, 29 (6), 2835-2845. doi:10.1109/TPWRS.2014.2314359
Peer Reviewed verified by ORBi

Wang, D., Glavic, M., & Wehenkel, L. (June 2014). Comparison of centralized, distributed and hierarchical model predictive control schemes for electromechanical oscillations damping in large-scale power systems. International Journal of Electrical Power and Energy Systems, 58, 32-41. doi:10.1016/j.ijepes.2014.01.007
Peer Reviewed verified by ORBi

Platbrood, L., Capitanescu, F., Crisciu, H., & Wehenkel, L. (May 2014). A generic approach for solving nonlinear-discrete security-constrained power flow problems in large-scale systems. IEEE Transactions on Power Systems, 29 (3), 1194-1203. doi:10.1109/TPWRS.2013.2289990
Peer Reviewed verified by ORBi

Botta, V., Louppe, G., Geurts, P., & Wehenkel, L. (2014). Exploiting SNP Correlations within Random Forest for Genome-Wide Association Studies. PLoS ONE. doi:10.1371/journal.pone.0093379
Peer Reviewed verified by ORBi

Jung, T., Wehenkel, L., Ernst, D., & Maes, F. (March 2014). Optimized look-ahead tree policies: a bridge between look-ahead tree policies and direct policy search. International Journal of Adaptive Control and Signal Processing, 28 (3-5), 255-289. doi:10.1002/acs.2387
Peer Reviewed verified by ORBi

Becker, J., Maes, F., & Wehenkel, L. (2013). On the Encoding of Proteins for Disordered Regions Prediction. PLoS ONE. doi:10.1371/journal.pone.0082252
Peer Reviewed verified by ORBi

Marée, R., Stevens, B., Rollus, L., Rocks, N., Moles Lopez, X., Salmon, I., Cataldo, D., & Wehenkel, L. (30 September 2013). A rich internet application for remote visualization and collaborative annotation of digital slide images in histology and cytology. Diagnostic Pathology, 8 (S1), 26. doi:10.1186/1746-1596-8-S1-S26
Peer Reviewed verified by ORBi

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (September 2013). Batch mode reinforcement learning based on the synthesis of artificial trajectories. Annals of Operations Research, 208 (1), 383-416. doi:10.1007/s10479-012-1248-5
Peer Reviewed verified by ORBi

Capitanescu, F., & Wehenkel, L. (May 2013). Computation of worst operation scenarios under uncertainty for static security management. IEEE Transactions on Power Systems, 28 (2), 1697-1705. doi:10.1109/TPWRS.2012.2220384
Peer Reviewed verified by ORBi

Van Lishout, F., Mahachie John, J., Gusareva, E., Urrea, V., Cleynen, I., Theatre, E., CHARLOTEAUX, B., Calle, M. L., Wehenkel, L., & Van Steen, K. (24 April 2013). An efficient algorithm to perform multiple testing in epistasis screening. BMC Bioinformatics, 14, 138. doi:10.1186/1471-2105-14-138
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Becker, J., Maes, F., & Wehenkel, L. (15 February 2013). On the Relevance of Sophisticated Structural Annotations for Disulfide Connectivity Pattern Prediction. PLoS ONE, 8 (2), 56621. doi:10.1371/journal.pone.0056621
Peer Reviewed verified by ORBi

Capitanescu, F., & Wehenkel, L. (2013). Experiments with the interior-point method for solving large scale Optimal Power Flow problems. Electric Power Systems Research, 95, 276–283. doi:10.1016/j.epsr.2012.10.001
Peer Reviewed verified by ORBi

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2013). Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. Revue d'Intelligence Artificielle, 27 (2), 171-194. doi:10.3166/RIA.27.171-194
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Fliscounakis, S., Panciatici, P., Capitanescu, F., & Wehenkel, L. (2013). Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions. IEEE Transactions on Power Systems. doi:10.1109/TPWRS.2013.2251015
Peer Reviewed verified by ORBi

Defourny, B., Ernst, D., & Wehenkel, L. (2013). Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning. INFORMS Journal on Computing, 25 (3), 488-501. doi:10.1287/ijoc.1120.0516
Peer Reviewed verified by ORBi

Capitanescu, F., Fliscounakis, S., Panciatici, P., & Wehenkel, L. (November 2012). Cautious operation planning under uncertainties. IEEE Transactions on Power Systems, 27 (4), 1859-1869. doi:10.1109/TPWRS.2012.2188309
Peer Reviewed verified by ORBi

Panciatici, P., Bareux, G., & Wehenkel, L. (2012). Operating in the fog: security management under uncertainty. IEEE Power and Energy Magazine. doi:10.1109/MPE.2012.2205318
Peer reviewed

Marano Marcolini, A., Capitanescu, F., Jose Luis, M. R., & Wehenkel, L. (August 2012). Exploiting the use of DC SCOPF approximation to improve iterative AC SCOPF algorithms. IEEE Transactions on Power Systems, 27 (3), 1459-1466. doi:10.1109/TPWRS.2012.2186469
Peer Reviewed verified by ORBi

Marbach, D., Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Aderhold, A., Bonneau, R., Chen, Y., Cordero, F., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foygel, R., de la Fuente, A., Gertheiss, J., Geurts, P., ... Stolovitzky, G. (15 July 2012). Wisdom of crowds for robust gene network inference. Nature Methods, 9, 796-804. doi:10.1038/nmeth.2016
Peer Reviewed verified by ORBi

Huynh-Thu, V. A., Saeys, Y., Wehenkel, L., & Geurts, P. (25 April 2012). Statistical interpretation of machine learning-based feature importance scores for biomarker discovery. Bioinformatics, 28 (13), 1766-1774. doi:10.1093/bioinformatics/bts238
Peer Reviewed verified by ORBi

Schrouff, J., Kussé, C., Wehenkel, L., Maquet, P., & Phillips, C. (2012). Decoding Semi-Constrained Brain Activity from fMRI Using Support Vector Machines and Gaussian Processes. PLoS ONE, 7 (4). doi:10.1371/journal.pone.0035860
Peer Reviewed verified by ORBi

Capitanescu, F., & Wehenkel, L. (August 2011). Redispatching active and reactive powers using a limited number of control actions. IEEE Transactions on Power Systems, 26 (3), 1221-1230. doi:10.1109/TPWRS.2010.2102371
Peer Reviewed verified by ORBi

Capitanescu, F., Martinez Ramos, J. L., Panciatici, P., Kirschen, D., Marano Marcolini, A., Platbrood, L., & Wehenkel, L. (August 2011). State-of-the-art, challenges, and future trends in security constrained optimal power flow. Electric Power Systems Research, 81 (8), 1731-1741. doi:10.1016/j.epsr.2011.04.003
Peer Reviewed verified by ORBi

Levels, J. H., Geurts, P., Karlsson, H., Marée, R., Ljunggren, S., Fornander, L., Wehenkel, L., Lindahl, M., Stroes, E. S., Kuivenhoven, J. A., & Meijers, J. C. (28 June 2011). High-density lipoprotein proteome dynamics in human endotoxemia. Proteome Science, 9 (1), 34. doi:10.1186/1477-5956-9-34
Peer Reviewed verified by ORBi

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (June 2011). Estimation Monte Carlo sans modèle de politiques de décision. Revue d'Intelligence Artificielle, 25, 321-343. doi:10.3166/ria.25.321-343
Peer Reviewed verified by ORBi

Lamrini, B, L. E. K., & Wehenkel, L. (2011). Data validation and missing data reconstruction using self-organizing map for water treatment. Neural Computing and Applications, 20 (4), 575-588. doi:10.1007/s00521-011-0526-5
Peer Reviewed verified by ORBi

DE SENY, D., Sharif, M., Fillet, M., COBRAIVILLE, G., Meuwis, M.-A., Marée, R., HAUZEUR, J.-P., Wehenkel, L., Louis, E., Merville, M.-P., Kirwan, J., Ribbens, C., & Malaise, M. (2011). Discovery and biochemical characterisation of four novel biomarkers for osteoarthritis. Annals of the Rheumatic Diseases, 70 (6), 1144-52. doi:10.1136/ard.2010.135541
Peer Reviewed verified by ORBi

Capitanescu, F., & Wehenkel, L. (November 2010). Sensitivity-based approaches for handling discrete variables in optimal power flow computations. IEEE Transactions on Power Systems, 25 (4), 1780-1789. doi:10.1109/TPWRS.2010.2044426
Peer Reviewed verified by ORBi

Huynh-Thu, V. A., Irrthum, A., Wehenkel, L., & Geurts, P. (28 September 2010). Inferring Regulatory Networks from Expression Data Using Tree-Based Methods. PLoS ONE, 5 (9), 12776. doi:10.1371/journal.pone.0012776
Peer Reviewed verified by ORBi

Capitanescu, F., & Wehenkel, L. (February 2010). Optimal power flow computations with a limited number of controls allowed to move. IEEE Transactions on Power Systems, 25 (1), 586-587. doi:10.1109/TPWRS.2009.2036461
Peer Reviewed verified by ORBi

Charrier, C., Lézoray, O., Elmoataz, A., Bergevin, R., Nouboud, F., & Wehenkel, L. (2010). Editorial - Special Section on Processing and Analysis of High-Dimensional Masses of Image and Signal Data. Signal Processing, 90 (8), 2331-2332. doi:10.1016/j.sigpro.2010.02.014
Peer Reviewed verified by ORBi

Geurts, P., Irrthum, A., & Wehenkel, L. (December 2009). Supervised learning with decision tree-based methods in computational and systems biology. Molecular Biosystems, 5 (12), 1593-1605. doi:10.1039/b907946g
Peer Reviewed verified by ORBi

Capitanescu, F., Van Cutsem, T., & Wehenkel, L. (01 May 2009). Coupling optimization and dynamic simulation for preventive-corrective control of voltage instability. IEEE Transactions on Power Systems, 24 (2), 796 - 805. doi:10.1109/TPWRS.2008.2012181
Peer Reviewed verified by ORBi

Marée, R., Geurts, P., & Wehenkel, L. (30 January 2009). Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees. IPSJ Transactions on Computer Vision and Applications, 1. doi:10.2197/ipsjtcva.1.46
Peer Reviewed verified by ORBi

De Seny, D., Ribbens, C., Cobraiville, G., Meuwis, M.-A., Marée, R., Geurts, P., Wehenkel, L., Louis, E., Merville, M.-P., Fillet, M., & Malaise, M. (2009). Protéomique par SELDI-TOF-MS des maladies inflammatoires articulaires: identification des protéines S100 comme protéines d'intérêt. Revue Médicale de Liège, 64 (Spec No), 29-35.
Peer reviewed

Ernst, D., Glavic, M., Capitanescu, F., & Wehenkel, L. (2009). Reinforcement learning versus model predictive control: a comparison on a power system problem. IEEE Transactions on Systems, Man and Cybernetics. Part B, Cybernetics, 33 (2), 517-519. doi:10.1109/TSMCB.2008.2007630
Peer Reviewed verified by ORBi

Quesada Calvo, F.* , Fillet, M.* , De Seny, D., Meuwis, M.-A., Marée, R., Crahay, C., Paulissen, G., Rocks, N., Guéders, M., Wehenkel, L., Merville, M.-P., Louis, R., Foidart, J.-M., Noël, A., & Cataldo, D. (2009). Biomarker discovery in asthma-related inflammation and remodeling. Proteomics, 9 (8), 2163-2170. doi:10.1002/pmic.200800643
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Wehenkel, L., Ernst, D., Rousseaux, P., & Van Cutsem, T. (2008). Research and Education Activities in Electric Power Systems at the University of Liège. Revue E: Revue d'Electricité et d'Electronique Industrielle, (4), 54-59.
Peer reviewed

Stubbe, M., Karoui, K., Van Cutsem, T., & Wehenkel, L. (2008). Le projet PEGASE. Revue E: Revue d'Electricité et d'Electronique Industrielle, (4), 37-41.
Peer reviewed

Capitanescu, F., & Wehenkel, L. (November 2008). A new iterative approach to the corrective security-constrained optimal power flow problem. IEEE Transactions on Power Systems, 23 (4), 1342-1351. doi:10.1109/TPWRS.2008.2002175
Peer Reviewed verified by ORBi

Kelner, V., Capitanescu, F., Léonard, O., & Wehenkel, L. (June 2008). A hybrid optimization technique coupling an evolutionary and a local search algorithm. Journal of Computational and Applied Mathematics, 215 (2), 448-456. doi:10.1016/j.cam.2006.03.048
Peer Reviewed verified by ORBi

De Seny, D., Fillet, M., Ribbens, C., Marée, R., Meuwis, M.-A., Lutteri, L., Chapelle, J.-P., Wehenkel, L., Louis, E., Merville, M.-P., & Malaise, M. (2008). Monomeric calgranulins measured by SELDI-TOF mass spectrometry and calprotectin measured by ELISA as biomarkers in arthritis. Clinical Chemistry, 54, 1066-1075. doi:10.1373/clinchem.2007.099549
Peer Reviewed verified by ORBi

Meuwis, M.-A.* , Fillet, M.* , Lutteri, L., Marée, R., Geurts, P., De Seny, D., Malaise, M., Chapelle, J.-P., Wehenkel, L., Belaiche, J., Merville, M.-P., & Louis, E. (2008). Proteomics for prediction and characterization of response to infliximab in Crohn's disease: a pilot study. Clinical Biochemistry, 41 (12), 960-7. doi:10.1016/j.clinbiochem.2008.04.021
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Saeys, Y., Liu, H., Inza, I., & Wehenkel, L. (2008). New challenges for feature selection in data mining and knowledge discovery. Journal of Machine Learning Research, 4, 1-4.
Peer Reviewed verified by ORBi

Capitanescu, F., Glavic, M., Ernst, D., & Wehenkel, L. (November 2007). Contingency filtering techniques for preventive security-constrained optimal power flow. IEEE Transactions on Power Systems, 22 (4), 1690-1697. doi:10.1109/TPWRS.2007.907528
Peer Reviewed verified by ORBi

Del Angel, A., Geurts, P., Ernst, D., Glavic, M., & Wehenkel, L. (October 2007). Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. Neurocomputing, 70 (16-18), 2668-2678. doi:10.1016/j.neucom.2006.12.017
Peer Reviewed verified by ORBi

Hiard, S., Marée, R., Colson, S., Hoskisson, P. A., Titgemeyer, F., van Wezel, G. P., Joris, B., Wehenkel, L., & Rigali, S. (June 2007). PREDetector: A new tool to identify regulatory elements in bacterial genomes. Biochemical and Biophysical Research Communications, 357 (4), 861-864. doi:10.1016/j.bbrc.2007.03.180
Peer reviewed

Capitanescu, F., & Wehenkel, L. (May 2007). Improving the statement of the corrective security-constrained optimal power flow problem. IEEE Transactions on Power Systems, 22 (2), 887-889. doi:10.1109/TPWRS.2007.894850
Peer Reviewed verified by ORBi

Capitanescu, F., Glavic, M., Ernst, D., & Wehenkel, L. (April 2007). Interior-point based algorithms for the solution of optimal power flow problems. Electric Power Systems Research, 77 (5-6), 508-517. doi:10.1016/j.epsr.2006.05.003
Peer Reviewed verified by ORBi

Chandrika, K., Dellot, P., Frippiat, F., Giot, J.-B., Leonard, P., Marée, R., Mayasi, N., Meuris, C., Mukeba Tshialala, D., Rahmouni, S., Uurlings, F., Vaira, D., Wehenkel, L., Demonty, J., & Moutschen, M. (2007). Nouvelles approches dans la prise en charge de l'infection a VIH. Revue Médicale de Liège, 62 Spec No, 47-50.
Peer reviewed

Marée, R., Geurts, P., & Wehenkel, L. (2007). Random subwindows and extremely randomized trees for image classification in cell biology. BMC Cell Biology, 8 (Suppl. 1). doi:10.1186/1471-2121-8-S1-S2
Peer Reviewed verified by ORBi

Ernst, D., Glavic, M., Capitanescu, F., & Wehenkel, L. (2007). Model predictive control and reinforcement learning as two complementary frameworks. International Journal of Tomography and Statistics, 6, 122-127.
Peer Reviewed verified by ORBi

Meuwis, M.-A.* , Fillet, M.* , Geurts, P., De Seny, D., Lutteri, L., Chapelle, J.-P., Bours, V., Wehenkel, L., Belaiche, J., Malaise, M., Louis, E., & Merville, M.-P. (2007). Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling. Biochemical Pharmacology, 73 (9), 1422-1433. doi:10.1016/j.bcp.2006.12.019
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Geurts, P., Ernst, D., & Wehenkel, L. (April 2006). Extremely randomized trees. Machine Learning, 63 (1), 3-42. doi:10.1007/s10994-006-6226-1
Peer Reviewed verified by ORBi

Glavic, M., Ernst, D., & Wehenkel, L. (June 2005). A reinforcement learning based discrete supplementary control for power system transient stability enhancement. International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, 13 (2 Sp. Iss. SI), 81-88.
Peer reviewed

Ernst, D., Geurts, P., & Wehenkel, L. (April 2005). Tree-based batch mode reinforcement learning. Journal of Machine Learning Research, 6, 503-556.
Peer Reviewed verified by ORBi

Glavic, M., Ernst, D., & Wehenkel, L. (February 2005). Combining a stability and a performance-oriented control in power systems. IEEE Transactions on Power Systems, 20 (1), 525-526. doi:10.1109/TPWRS.2004.841146
Peer Reviewed verified by ORBi

Geurts, P., & Wehenkel, L. (2005). Segment and combine approach for non-parametric time-series classification. Lecture Notes in Computer Science, 3721, 478-485. doi:10.1007/11564126_48
Peer reviewed

Ernst, D., Glavic, M., Geurts, P., & Wehenkel, L. (2005). Approximate value iteration in the reinforcement learning context. Application to electrical power system control. International Journal of Emerging Electrical Power Systems, 3 (1). doi:10.2202/1553-779X.1066
Peer Reviewed verified by ORBi

De Seny, D.* , Fillet, M.* , Meuwis, M.-A., Geurts, P., Lutteri, L., Ribbens, C., Bours, V., Wehenkel, L., Piette, J., Malaise, M., & Merville, M.-P. (2005). Discovery of new rheumatoid arthritis biomarkers using the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry ProteinChip approach. Arthritis and Rheumatism, 52 (12), 3801-12. doi:10.1002/art.21607
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Geurts, P., Fillet, M., De Seny, D., Meuwis, M.-A., Malaise, M., Merville, M.-P., & Wehenkel, L. (2005). Proteomic mass spectra classification using decision tree based ensemble methods. Bioinformatics, 21 (14), 3138-45. doi:10.1093/bioinformatics/bti494
Peer Reviewed verified by ORBi

Ernst, D., Glavic, M., & Wehenkel, L. (February 2004). Power systems stability control: Reinforcement learning framework. IEEE Transactions on Power Systems, 19 (1), 427-435. doi:10.1109/TPWRS.2003.821457
Peer Reviewed verified by ORBi

Huang, J. A., Harrison, S., Vanier, G., Valette, A., & Wehenkel, L. (2004). Application of data mining to optimize settings for generator tripping and load shedding system in emergency control at Hydro-Quebec. COMPEL, 23 (1 Sp. Iss. SI), 21-34. doi:10.1108/03321640410507527
Peer Reviewed verified by ORBi

Olaru, C., & Wehenkel, L. (01 September 2003). A complete fuzzy decision tree technique. Fuzzy Sets and Systems, 138 (2), 221-254. doi:10.1016/S0165-0114(03)00089-7
Peer Reviewed verified by ORBi

Marée, R., Geurts, P., & Wehenkel, L. (2003). Une méthode générique pour la classification automatique d'images à partir des pixels. Revue des Nouvelles Technologies de l'Information, 1, 227-238.
Peer reviewed

Geurts, P., Olaru, C., & Wehenkel, L. (2001). Improving the bias/variance tradeoff of decision trees - towards soft tree induction. Engineering intelligent systems, 9, 195-204.
Peer reviewed

Wehenkel, L., Lebrevelec, C., Trotignon, M., & Batut, J. (1999). Probabilistic design of power-system special stability controls. Control Engineering Practice, 7 (2), 183-194. doi:10.1016/S0967-0661(98)00171-3
Peer Reviewed verified by ORBi

Wehenkel, L. (September 1997). Machine-learning approaches to power-system security assessment. IEEE Expert, 12 (5), 60-72. doi:10.1109/64.621229
Peer reviewed

Marceau, R. J., Endrenyi, J., Allan, R., Alvarado, F. L., Bloemhof, G. A., Carlsen, T., Couto, G., Dialynas, E. N., Hatziargyriou, N., Holmberg, D., Invernizzi, A., Lumbreras, J., Manning, T., Messing, L., Naggar, R., Rudenko, Y. N., Salvaderi, L., Stewart, J. R., Welssow, W., & Wehenkel, L. (1997). Power system security assessment: a position paper. Electra, 175, 49-77.
Peer reviewed

Zhang, Y., Wehenkel, L., Rousseaux, P., & Pavella, M. (1997). SIME: A hybrid approach to fast transient stability assessment and contingency selection. International Journal of Electrical Power and Energy Systems, 19 (3), 195-208. doi:10.1016/S0142-0615(96)00047-6
Peer Reviewed verified by ORBi

Wehenkel, L. (February 1996). Contingency severity assessment for voltage security using non-parametric regression techniques. IEEE Transactions on Power Systems, 11 (1), 101-111. doi:10.1109/59.485991
Peer Reviewed verified by ORBi

Wehenkel, L., Van Cutsem, T., Pavella, M., Heilbronn, B., & Pruvot, P. (1994). Machine learning, neural networks and statistical pattern recognition for voltage security: a comparative study. International Journal of Intelligent Systems, 2, 233-245.
Peer Reviewed verified by ORBi

Wehenkel, L., & Pavella, M. (1993). Decision tree approach to power systems security assessment. International Journal of Electrical Power and Energy Systems, 15 (1), 13-36. doi:10.1016/0142-0615(93)90014-E
Peer Reviewed verified by ORBi

Van Cutsem, T., Wehenkel, L., Pavella, M., Heilbronn, B., & Goubin, M. (1993). Decision tree approaches to voltage security assessment. IEE Proceedings. Generation, Transmission and Distribution, 140, 189-198. doi:10.1049/ip-c.1993.0029
Peer Reviewed verified by ORBi

Xue, Y., Wehenkel, L., Belhomme, R., Rousseaux, P., Pavella, M., Euxibie, E., Heilbronn, B., & Lesigne, J.-F. (1992). Extended equal area criterion revisited. IEEE Transactions on Power Systems, PWRS-7 (3), 1012-1022. doi:10.1109/59.207314
Peer Reviewed verified by ORBi

Wehenkel, L., & Pavella, M. (1991). Decision Trees and Transient Stability of Electric Power Systems. Automatica, 27 (1), 115-134. doi:10.1016/0005-1098(91)90010-Y
Peer Reviewed verified by ORBi

Wehenkel, L., Van Cutsem, T., & Pavella, M. (1989). Inductive inference applied to on-line transient stability assessment of electric power systems. Automatica, 25, 445-451. doi:10.1016/0005-1098(89)90014-9
Peer Reviewed verified by ORBi

Wehenkel, L., Van Cutsem, T., & Pavella, M. (1989). An Artificial Intelligence Framework for On-Line Transient Stability Assessment of Power Systems. IEEE Transactions on Power Systems, 4 (2), 789-800. doi:10.1109/59.193853
Peer Reviewed verified by ORBi

Articles accepted in journal without reviewing

Geurts, P., & Wehenkel, L. (19 April 2016). Comments on: A random forest guided tour. TEST, 25 (2), 247-253. doi:10.1007/s11749-016-0487-1

Articles accepted in conference proceedings

Davoodi, E., Capitanescu, F., Popli, N., & Wehenkel, L. (2022). Re-thinking Var Planning to Mitigate Reactive Power Reserves Scarcity During the Energy Transition. In Proceedings of MEDPOWER2022 (pp. 1-6). United Kingdom: The Institution of Engineering and Technology.
Peer reviewed

Karangelos, E., & Wehenkel, L. (2022). Cyber-physical risk modeling with imperfect cyber-attackers. Electric Power Systems Research. doi:10.1016/j.epsr.2022.108437
Peer Reviewed verified by ORBi

Sutera, A., Louppe, G., Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (2021). From global to local MDI variable importances for random forests and when they are Shapley values. Advances in Neural Information Processing Systems.
Peer Reviewed verified by ORBi

Duchesne, L., Louveaux, Q., & Wehenkel, L. (2021). Supervised learning of convex piecewise linear approximations of optimization problems. In Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. doi:10.14428/esann/2021.ES2021-74
Peer reviewed

Zhou, K., Cruise, J., Dent, C., Dobson, I., Wehenkel, L., Wang, Z., & Wilson, A. (2020). Applying Bayesian estimates of individual transmission line outage rates. In L. Wehenkel, Proc of the 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE. doi:10.1109/PMAPS47429.2020.9183429
Peer reviewed

Cauwet, M.-L., Karangelos, E., Wehenkel, L., & Georis, B. (2019). Static vs dynamic FRR sizing for power systems with increasing amounts of renewables. In IEEE Powertech, Milano, June 2019 (pp. 1-8). doi:10.1109/PTC.2019.8810534
Peer reviewed

Dalal, G., Gilboa, E., Mannor, S., & Wehenkel, L. (2018). Unit commitment using nearest neighbor as a short-term proxy. In 20th Power Systems Computation Conference, PSCC 2018. Institute of Electrical and Electronics Engineers Inc. doi:10.23919/PSCC.2018.8442516
Peer reviewed

Karangelos, E., & Wehenkel, L. (2018). Post-contingency corrective control failure: A risk to neglect or a risk to control? In Proc of 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/PMAPS.2018.8440348
Peer reviewed

Sutera, A., Châtel, C., Louppe, G., Wehenkel, L., & Geurts, P. (2018). Random Subspace with Trees for Feature Selection Under Memory Constraints. In A. Storkey & F. Perez-Cruz (Eds.), Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (pp. 929-937). Playa Blanca, Spain: PMLR.
Peer reviewed

Duchesne, L., Karangelos, E., & Wehenkel, L. (2018). Using Machine Learning to Enable Probabilistic Reliability Assessment in Operation Planning. In Power Systems Computation Conference 2018 Proceedings. PSCC. doi:10.23919/PSCC.2018.8442566
Peer reviewed

Karangelos, E., & Wehenkel, L. (2017). Probabilistic Reliability Management Approach and Criteria for Power System Short-term Operational Planning. In Probabilistic Reliability Management Approach and Criteria for Power System Short-term Operational Planning.
Peer reviewed

Duchesne, L., Karangelos, E., & Wehenkel, L. (2017). Machine Learning of Real-time Power Systems Reliability Management Response. In PowerTech Manchester 2017 Proceedings. doi:10.1109/PTC.2017.7980927
Peer reviewed

Marin, M., Karangelos, E., & Wehenkel, L. (2017). A computational model of mid-term outage scheduling for long-term system studies. In PowerTech Manchester 2017 Proceedings. doi:10.1109/PTC.2017.7980964
Peer reviewed

Sutera, A., Louppe, G., Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (2016). Context-dependent feature analysis with random forests. In Uncertainty In Artificial Intelligence: Proceedings of the Thirty-Two Conference (2016).
Peer reviewed

Karangelos, E., & Wehenkel, L. (2016). Probabilistic reliability management approach and criteria for power system real-time operation. In Power Systems Computation Conference. doi:10.1109/PSCC.2016.7540871
Peer reviewed

Perkin, S., Bjornsson, G., Baldursdottir, I., Palsson, M., Kristjansson, R., Stefansson, H., Jensson, P., Karangelos, E., & Wehenkel, L. (2016). Framework for Threat Based Failure Rates in Transmission System Operation. In Framework for Threat Based Failure Rates in Transmission System Operation. doi:10.1109/SMRLO.2016.34
Peer reviewed

Van Lishout, F., Gadaleta, F., Moore, J. H., Wehenkel, L., & Van Steen, K. (2014). gammaMAXT: a fast multiple-testing correction algorithm. In ERCIM 2014 Abstract Book (pp. 47).
Peer reviewed

Joly, A., Geurts, P., & Wehenkel, L. (2014). Random forests with random projections of the output space for high dimensional multi-label classification. In Machine Learning and Knowledge Discovery in Databases. doi:10.1007/978-3-662-44848-9_39
Peer reviewed

Capitanescu, F., & Wehenkel, L. (2014). An AC OPF-based Heuristic Algorithm for Optimal Transmission Switching. In Proceedings of the 18th Power Systems Computation Conference (pp. 1-6). doi:10.1109/PSCC.2014.7038445
Peer reviewed

Panciatici, P., Campi, M. C., Garatti, S., Low, S. H., Molzahn, D. K., Sun, A. X., & Wehenkel, L. (2014). Advanced optimization methods for power systems. In Proceedings of the 18th Power Systems Computation Conference (pp. 1-18). doi:10.1109/PSCC.2014.7038504

Marée, R., Rollus, L., Stevens, B., Louppe, G., Caubo, O., Rocks, N., Bekaert, S., Cataldo, D., & Wehenkel, L. (2014). A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning. In Proceedings IEEE International Symposium on Biomedical Imaging. IEEE. doi:10.1109/isbi.2014.6868017
Peer reviewed

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2014). Apprentissage par renforcement batch fondé sur la reconstruction de trajectoires artificielles. In Proceedings of the 9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA 2014).
Peer reviewed

Louppe, G., Wehenkel, L., Sutera, A., & Geurts, P. (2013). Understanding variable importances in forests of randomized trees. In Advances in Neural Information Processing Systems 26.
Peer reviewed

Karangelos, E., Panciatici, P., & Wehenkel, L. (2013). Whither probabilistic security management for real-time operation of power systems ? In Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP Symposium. IEEE. doi:10.1109/IREP.2013.6629408
Peer reviewed

Maes, F., Fonteneau, R., Wehenkel, L., & Ernst, D. (2012). Policy search in a space of simple closed-form formulas: towards interpretability of reinforcement learning. In Discovery Science 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings (pp. 37-51). Berlin, Germany: Springer. doi:10.1007/978-3-642-33492-4_6
Peer reviewed

Maes, F., Geurts, P., & Wehenkel, L. (2012). Embedding Monte Carlo search of features in tree-based ensemble methods. In P. Flach, T. De Bie, ... N. Cristianini (Eds.), Machine Learning and Knowledge Discovery in Data Bases (pp. 191-206). Springer.
Peer reviewed

Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). Mixtures of Bagged Markov Tree Ensembles. In A. Cano Utrera, M. Gómez-Olmedo, ... T. Nielsen (Eds.), Proceedings of the 6th European Workshop on Probabilistic Graphical Models (pp. 283-290).
Peer reviewed

Hiard, S., Geurts, P., & Wehenkel, L. (2012). Comparator selection for RPC with many labels. In ECAI 2012 : 20th European Conference on Artificial Intelligence : 27-31 August 2012, Montpellier, France (pp. 408-413). Amsterdam, Netherlands: IOS Press. doi:10.3233/978-1-61499-098-7-408
Peer reviewed

Schrouff, J., Kussé, C., Wehenkel, L., Maquet, P., & Phillips, C. (2012). Decoding spontaneous brain activity from fMRI using Gaussian Processes: tracking brain reactivation. In 2012 Second International Workshop on Pattern Recognition in NeuroImaging (PRNI 2012): proceedings. Los Alamitos, United States - California: IEEE Computer Society Conference Publishing Services. doi:10.1109/PRNI.2012.19
Peer reviewed

Joly, A., Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). L1-based compression of random forest models. In Proceeding of the 21st Belgian-Dutch Conference on Machine Learning.

Schnitzler, F., Ammar, S., Leray, P., Geurts, P., & Wehenkel, L. (2012). Approximation efficace de mélanges bootstrap d’arbres de Markov pour l’estimation de densité. In L. Bougrain (Ed.), Actes de la 14e Conférence Francophone sur l'Apprentissage Automatique (CAp 2012) (pp. 207-222).
Peer reviewed

Marcos Alvarez, A., Maes, F., & Wehenkel, L. (2012). Supervised learning to tune simulated annealing for in silico protein structure prediction. In M. Verleysen (Ed.), ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 49-54). Louvain-la-Neuve, Belgium: Ciaco.
Peer reviewed

Joly, A., Schnitzler, F., Geurts, P., & Wehenkel, L. (2012). L1-based compression of random forest models. In 20th European Symposium on Artificial Neural Networks.
Peer reviewed

Maes, F., Wehenkel, L., & Ernst, D. (2012). Learning to play K-armed bandit problems. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence (ICAART 2012).
Peer reviewed

Wang, D., Glavic, M., & Wehenkel, L. (2011). Distributed MPC of wide-area electromechanical oscillations of large-scale power systems. In Proceedings of ISAP 2011. doi:10.1109/ISAP.2011.6082163
Peer reviewed

Schnitzler, F., ammar, S., leray, P., Geurts, P., & Wehenkel, L. (2011). Efficiently approximating Markov tree bagging for high-dimensional density estimation. In D. Gunopulos, T. Hofmann, D. Malerba, ... M. Vazirgiannis (Eds.), Machine Learning and Knowledge Discovery in Databases, Part III (pp. 113-128). Berlin, Heidelberg, Germany: Springer-Verlag. doi:10.1007/978-3-642-23808-6_8
Peer reviewed

Capitanescu, F., Fliscounakis, S., Panciatici, P., & Wehenkel, L. (2011). Day-ahead Security Assessment under Uncertainty Relying on the Combination of Preventive and Corrective Controls to Face Worst-Case Scenarios. In PSCC proceedings Stockholm (Sweden) 2011.
Peer reviewed

Platbrood, L., Crisciu, H., Capitanescu, F., & Wehenkel, L. (2011). SOLVING VERY LARGE-SCALE SECURITY-CONSTRAINED OPTIMAL POWER FLOW PROBLEMS BY COMBINING ITERATIVE CONTINGENCY SELECTION AND NETWORK COMPRESSION. In PSCC conference.
Peer reviewed

Hoffmann, R., Promel, F., Capitanescu, F., Krost, G., & Wehenkel, L. (2011). Situation Adapted Display of Information for Operating Very Large Interconnected Grids. In Power Tech Conference. doi:10.1109/PTC.2011.6019338
Peer reviewed

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2011). Apprentissage actif par modification de la politique de décision courante. In Sixièmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA 2011).
Peer reviewed

Wang, D., Glavic, M., & Wehenkel, L. (2011). A new MPC scheme for damping wide-area electromechanical oscillations in power systems. In the 2011 IEEE PES PowerTech. doi:10.1109/PTC.2011.6019190
Peer reviewed

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2011). Active exploration by searching for experiments that falsify the computed control policy. In Proceedings of the 2011 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-11). doi:10.1109/ADPRL.2011.5967364
Peer reviewed

Hiard, S., & Wehenkel, L. (2011). Using Class-probability Models instead of Hard Classifiers as Base Learners in the Ranking by Pairwise Comparison Algorithm. In S. Thatcher (Ed.), ICMLC 2011 3rd International Conference on Machine Learning and Computing Volume 1 (pp. 218-222). Chengdu, China: IEEE.

Stern, O., Marée, R., Aceto, J., Jeanray, N., Muller, M., Wehenkel, L., & Geurts, P. (2011). Automatic localization of interest points in zebrafish images with tree-based methods. In Proceedings of the 6th IAPR International Conference on Pattern Recognition in Bioinformatics. Springer.
Peer reviewed

Maes, F., Wehenkel, L., & Ernst, D. (2011). Automatic discovery of ranking formulas for playing with multi-armed bandits. In Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011).
Peer reviewed

Maes, F., Becker, J., & Wehenkel, L. (2011). Prédiction structurée multitâche itérative de propriétés structurelles de protéines. In 7e Plateforme AFIA: Association Française pour l'Intelligence Artificielle (pp. 279). Editions Publibook.
Peer reviewed

Maes, F., Becker, J., & Wehenkel, L. (2011). Iterative multi-task sequence labeling for predicting structural properties of proteins. In ESANN 2011.
Peer reviewed

Rachelson, E., Schnitzler, F., Wehenkel, L., & Ernst, D. (2011). Optimal sample selection for batch-mode reinforcement learning. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011).
Peer reviewed

Maes, F., Wehenkel, L., & Ernst, D. (2011). Optimized look-ahead tree policies. In Proceedings of the 9th European Workshop on Reinforcement Learning (EWRL 2011).
Peer reviewed

Ammar, S., Leray, P., Schnitzler, F., & Wehenkel, L. (2010). Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm. In P. Myllymäki, A. Roos, ... T. Jaakkola (Eds.), Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010) (pp. 17-24).
Peer reviewed

Fonteneau, F., Ernst, D., Druet, C., Panciatici, P., & Wehenkel, L. (2010). Consequence driven decomposition of large-scale power system security analysis. In Proceedings of the 2010 IREP Symposium - Bulk Power Systems Dynamics and Control - VIII. doi:10.1109/IREP.2010.5563285
Peer reviewed

Panciatici, P., Hassaine, T., Fliscounakis, S., Platbrood, L., Ortega-Vazquez, M.-A., Martinez-Ramos, J. L., & Wehenkel, L. (2010). Security management under uncertainty: From day-ahead planning to intraday operation. In Proceedings of Bulk Power System Dynamics and Control (iREP) - VIII (iREP), 2010 iREP Symposium. doi:10.1109/IREP.2010.5563278
Peer reviewed

Pisane, J., Marée, R., Wehenkel, L., & Verly, J. (2010). Radar Classification based on Extra-Trees [Paper presentation]. SONDRA Workshop 2010, Cargese, France.
Peer reviewed

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). Generating informative trajectories by using bounds on the return of control policies. In Proceedings of the Workshop on Active Learning and Experimental Design 2010 (in conjunction with AISTATS 2010).
Peer reviewed

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). Model-free Monte Carlo–like policy evaluation. In Proceedings of Conférence Francophone sur l'Apprentissage Automatique (CAp) 2010.
Peer reviewed

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). Model-free Monte Carlo-like policy evaluation. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010) (pp. 217-224).
Peer reviewed

Schnitzler, F., Leray, P., & Wehenkel, L. (2010). Towards sub-quadratic learning of probability density models in the form of mixtures of trees [Paper presentation]. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium.
Peer reviewed

Marée, R., Denis, P., Wehenkel, L., & Geurts, P. (2010). Incremental Indexing and Distributed Image Search using Shared Randomized Vocabularies. In ACM Proceedings MIR 2010. doi:10.1145/1743384.1743405
Peer reviewed

Pisane, J., Marée, R., Wehenkel, L., & Verly, J. (2010). Robust Automatic Target Recognition Using Extra-trees. In J. Pisane (Ed.), Robust Automatic Target Recognition Using Extra-trees. IEEE.
Peer reviewed

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2010). A cautious approach to generalization in reinforcement learning. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence (pp. 10).
Peer reviewed

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2010). Model-free Monte Carlo-like policy evaluation. In 29th Benelux Meeting on Systems and Control.
Peer reviewed

Capitanescu, F., Rosehart, W., & Wehenkel, L. (2009). Optimal power flow computations with constraints limiting the number of control actions. In IEEE Power Tech conference. doi:10.1109/PTC.2009.5282151
Peer reviewed

Capitanescu, F., & Wehenkel, L. (2009). A new heuristic approach to deal with discrete variables in optimal power flow computations. In IEEE Power Tech conference. doi:10.1109/PTC.2009.5282146
Peer reviewed

Fabozzi, D., Glavic, M., Wehenkel, L., & Van Cutsem, T. (2009). Security Assessment by Multiple Transmission System Operators Exchanging Sensitivity and Tie-Line Power Flow Information. In Proceedings of the 2009 IEEE PES Power Tech conference. doi:10.1109/PTC.2009.5282182
Peer reviewed

Dumont, M., Marée, R., Wehenkel, L., & Geurts, P. (2009). Fast Multi-Class Image Annotation with Random Subwindows and Multiple Output Randomized Trees. In Proc. International Conference on Computer Vision Theory and Applications (VISAPP) (pp. 196-203).
Peer reviewed

Fonteneau, R., Murphy, S., Wehenkel, L., & Ernst, D. (2009). Inferring bounds on the performance of a control policy from a sample of trajectories. In Proceedings of the IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-09) (pp. 117-123). doi:10.1109/ADPRL.2009.4927534
Peer reviewed

Belmudes, F., Ernst, D., & Wehenkel, L. (2009). Pseudo-geographical representations of power system buses by multidimensional scaling. In Proceedings of the 15th International Conference on Intelligent System Applications to Power Systems (ISAP 2009). doi:10.1109/ISAP.2009.5352920
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2009). Bounds for Multistage Stochastic Programs using Supervised Learning Strategies. In O. Watanabe & T. Zeugmann (Eds.), Stochastic Algorithms: Foundations and Applications (pp. 61-73). Springer. doi:10.1007/978-3-642-04944-6_6
Peer reviewed

Ammar, S., Leray, P., Defourny, B., & Wehenkel, L. (2009). Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. In Proc. of ECSQARU '09: 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (pp. 158-167). Springer.
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2009). Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces. In Proceedings of the IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-09) (pp. 145-152). doi:10.1109/ADPRL.2009.4927538
Peer reviewed

Cornélusse, B., Vignal, G., Defourny, B., & Wehenkel, L. (2009). Supervised learning of intra-daily recourse strategies for generation management under uncertainties. In PowerTech, 2009 IEEE Bucharest (pp. 1-8). doi:10.1109/PTC.2009.5282226
Peer reviewed

Belmudes, F., Ernst, D., & Wehenkel, L. (2009). A rare-event approach to build security analysis tools when N-k (k > 1) analyses are needed (as they are in large-scale power systems). In Proceedings of the 2009 IEEE Bucharest PowerTech. doi:10.1109/PTC.2009.5282223
Peer reviewed

Ernst, D., Wehenkel, L., & Pavella, M. (2009). What is the likely future of real-time transient stability ? In Proceedings of the 2009 IEEE/PES Power Systems Conference & Exposition (PSCE 2009). doi:10.1109/PSCE.2009.4840101
Peer reviewed

Fonteneau, R., Murphy, S. A., Wehenkel, L., & Ernst, D. (2009). Inferring bounds on the performance of a control policy from a sample of one-step system transitions. In 28th Benelux Meeting on Systems and Control.
Peer reviewed

Pisane, J., Marée, R., Ries, P., Wehenkel, L., & Verly, J. (2009). An Extra-trees-based Automatic Target Recognition Algorithm. In To appear in Proc. International Radar Conference. Ieee.
Peer reviewed

Auvray, V., & Wehenkel, L. (2008). Learning parameters in discrete naive Bayes models by computing fibers of the parametrization map. In NIPS ´08 Workshop: Algebraic and combinatorial methods in machine learning.
Peer reviewed

Botta, V., Hansoul, S., Geurts, P., & Wehenkel, L. (2008). Raw genotypes vs haplotype blocks for genome wide association studies by random forests. In Proc. of MLSB 2008, second workshop on Machine Learning in Systems Biology.
Peer reviewed

Auvray, V., & Wehenkel, L. (2008). Learning inclusion-optimal chordal graphs. In Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI-08) (pp. 18–25). Morgan Kaufmann.
Peer reviewed

Fonteneau, R., Wehenkel, L., & Ernst, D. (2008). Variable selection for dynamic treatment regimes: a reinforcement learning approach. In The annual machine learning conference of Belgium and the Netherlands (BeNeLearn 2008).
Peer reviewed

Belmudes, F., Ernst, D., & Wehenkel, L. (2008). Cross-entropy based rare-event simulation for the identification of dangerous events in power systems. In Proceedings of the 10th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS-08).
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2008). Lazy planning under uncertainty by optimizing decisions on an ensemble of incomplete disturbance trees. In B. Defourny, D. Ernst, ... L. Wehenkel, Recent Advances in Reinforcement Learning (pp. 1-14). doi:10.1007/978-3-540-89722-4_1
Peer reviewed

Ammar, S., Leray, P., Defourny, B., & Wehenkel, L. (2008). High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks. In Proc. of the 4th European Workshop on Probabilistic Graphical Models (PGM08) (pp. 9-16).
Peer reviewed

Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (2008). Exploiting tree-based variable importances to selectively identify relevant variables. Proceedings of Machine Learning Research, 4, 60-73.
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Ammar, S., Leray, P., & Wehenkel, L. (2008). Estimation de densité par ensemble aléatoire de poly-arbres [Paper presentation]. Journées Françaises des Réseaux Bayesiens.
Peer reviewed

Irrthum, A., & Wehenkel, L. (2008). Predicting gene essentiality from expression patterns in Escherichia coli [Paper presentation]. Machine Learning in Systems Biology.
Peer reviewed

Ali, M., Glavic, M., Buisson, J., Wehenkel, L., & Ernst, D. (2008). Analyzing transient instability phenomena beyond the classical stability boundary. In Proceedings of the 40th North American Power Symposium (NAPS 2008). doi:10.1109/NAPS.2008.5307390
Peer reviewed

Fonteneau, R., Wehenkel, L., & Ernst, D. (2008). Variable selection for dynamic treatment regimes. In 27th Benelux Meeting on Systems and Control.
Peer reviewed

Mack, P., Capitanescu, F., Glavic, M., Legrand, F., & Wehenkel, L. (2007). Application of the Galileo system for a better synchronization of electrical power systems [Paper presentation]. IEEE Power Tech conference, Lausanne, Switzerland. doi:10.1109/PCT.2007.4538560
Peer reviewed

Cornélusse, B., Wehenkel, L., & Wera, C. (2007). Automatic learning for the classification of primary frequency control behaviour. In Power Tech, 2007 IEEE Lausanne (pp. 273-278). doi:10.1109/PCT.2007.4538329
Peer reviewed

Wehenkel, L., Glavic, M., & Ernst, D. (2007). A collaborative framework for multi-area dynamic security assessment of large scale systems. In Proceedings of the 2007 Power Tech (pp. 261-266). doi:10.1109/PCT.2007.4538327
Peer reviewed

Geurts, P., Wehenkel, L., & d'Alché-Buc, F. (2007). Gradient boosting for kernelized output spaces. In Proceedings of the 24th International Conference on Machine Learning (pp. 289-296). doi:10.1145/1273496.1273533
Peer reviewed

Glavic, M., Ernst, D., Ruiz-Vega, D., Wehenkel, L., & Pavella, M. (2007). E-SIME- A method for transient stability closed-loop emergency control: achievements and prospects. In Proceedings of 2007 IREP Symposium - Bulk Power Systems Dynamics and Control - VII. doi:10.1109/IREP.2007.4410519
Peer reviewed

Ernst, D., Glavic, M., Stan, G.-B., Mannor, S., & Wehenkel, L. (2007). The cross-entropy method for power system combinatorial optimization problems. In Proceedings of the 2007 Power Tech (pp. 1290-1295). doi:10.1109/PCT.2007.4538502
Peer reviewed

Marée, R., Geurts, P., & Wehenkel, L. (2007). Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees. In Proc. 8th Asian Conference on Computer Vision (ACCV), LNCS (pp. 611-620). Springer-Verlag.
Peer reviewed

Ernst, D., Glavic, M., Capitanescu, F., & Wehenkel, L. (2006). Model predictive control and reinforcement learning as two complementary frameworks. In Proceedings of the 13th IFAC Workshop on Control Applications of Optimisation.
Peer reviewed

Geurts, P., Wehenkel, L., & d Alché-Buc, F. (2006). Kernelizing the output of tree-based methods. In Proceedings of the 23rd International Conference on Machine Learning (pp. 345-352). Acm.
Peer reviewed

Geurts, P., Wehenkel, L., & d'Alché-Buc, F. (2006). OK3: Méthode d’arbres à sortie noyau pour la prédiction de sorties structurées et l’apprentissage de noyau. In Proc. of CAP (Conférence francophone d'apprentissage) (pp. 16).
Peer reviewed

Ernst, D., Stan, G.-B., Gonçalves, J., & Wehenkel, L. (2006). Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. In Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006) (pp. 667 - 672). doi:10.1109/CDC.2006.377527
Peer reviewed

Wehenkel, L., Glavic, M., & Ernst, D. (2006). On multi-area security assessment of large interconnected power systems. In Proceedings of the Second Carnegie Mellon Conference in Electric Power Systems: Monitoring, Sensing, Software and its Valuation for the Changing electric Power Industry.
Peer reviewed

Ernst, D., Marée, R., & Wehenkel, L. (2006). Reinforcement learning with raw image pixels as input state. In Advances in machine vision, image processing & pattern analysis (Lecture notes in computer science, Vol. 4153). Berlin, Germany: Springer-Verlag Berlin.
Peer reviewed

Ernst, D., Stan, G.-B., Gonçalves, J., & Wehenkel, L. (2006). Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. In Proceedings of the 15th Annual Machine Learning Conference of Belgium and The Netherlands (Benelearn 2006).
Peer reviewed

Auvray, V., Geurts, P., & Wehenkel, L. (2006). A Semi-Algebraic Description of Discrete Naive Bayes Models with Two Hidden Classes. In Proc. Ninth International Symposium on Artificial Intelligence and Mathematics.
Peer reviewed

Geurts, P., Marée, R., & Wehenkel, L. (2006). Segment and combine: a generic approach for supervised learning of invariant classifiers from topologically structured data. In Proceedings of the Machine Learning Conference of Belgium and The Netherlands (Benelearn) (pp. 15-23).
Peer reviewed

Wehenkel, L., Ernst, D., & Geurts, P. (2006). Ensembles of extremely randomized trees and some generic applications. In Proceedings of Robust Methods for Power System State Estimation and Load Forecasting.
Peer reviewed

Wehenkel, L., Glavic, M., Geurts, P., & Ernst, D. (2006). Automatic learning of sequential decision strategies for dynamic security assessment and control. In Proceedings of the IEEE Power Engineering Society General Meeting 2006. doi:10.1109/PES.2006.1708874
Peer reviewed

Wehenkel, L., Glavic, M., Geurts, P., & Ernst, D. (2006). About automatic learning for advanced sensing, monitoring and control of electric power systems. In Proceedings of the Second Carnegie Mellon Conference in Electric Power Systems: Monitoring, Sensing, Software and its Valuation for the Changing electric Power Industry.
Peer reviewed

Glavic, M., Wehenkel, L., & Ernst, D. (2006). Damping control by fusion of reinforcement learning and control Lyapunov functions. In Proceedings of the 38th North American Power Symposium (NAPS 2006) (pp. 361-367). doi:10.1109/NAPS.2006.359598
Peer reviewed

Wehenkel, L., Glavic, M., & Ernst, D. (2006). Multi-area security assessment: results using efficient bounding method. In Proceedings of the 38th North American Power Symposium (NAPS 2006) (pp. 511-515). doi:10.1109/NAPS.2006.359620
Peer reviewed

Capitanescu, F., Glavic, M., Ernst, D., & Wehenkel, L. (2006). Applications of security-constrained optimal power flows. In In Proceedings of Modern Electric Power Systems Symposium, MEPS06.
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Capitanescu, F., Glavic, M., & Wehenkel, L. (2005). Applications of an interior point method based optimal power flow. In CEE 05 conference.
Peer reviewed

Capitanescu, F., Glavic, M., & Wehenkel, L. (2005). Experience with the multiple centrality corrections interior point algorithm for optimal power flow. In CEE 05 conference.
Peer reviewed

Capitanescu, F., Glavic, M., & Wehenkel, L. (2005). An interior point method based optimal power flow [Paper presentation]. 3-rd ACOMEN conference, Gand, Belgium.
Peer reviewed

Geurts, P., Blanco Cuesta, A., & Wehenkel, L. (2005). Segment and combine approach for Biological Sequence Classification. In Proc. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2005) (pp. 194-201). doi:10.1109/cibcb.2005.1594917
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Marée, R., Geurts, P., Piater, J., & Wehenkel, L. (2005). Decision Trees and Random Subwindows for Object Recognition. In ICML workshop on Machine Learning Techniques for Processing Multimedia Content (MLMM2005).
Peer reviewed

Geurts, P., & Wehenkel, L. (2005). Closed-form dual perturb and combine for tree-based models. In Proceedings of the International Conference on Machine Learning (ICML 2005). doi:10.1145/1102351.1102381
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Cirio, D., Lucarella, D., Vimercati, G., Massucco, S., Morini, A., Silvestro, F., Ernst, D., Pavella, M., & Wehenkel, L. (2005). Application of an advanced transient stability assessment and control method to a realistic power system. In Proceedings of the 15th Power System Computation Conference (PSCC 2005).
Peer reviewed

Druet, C., Vassena, S., Rousseaux, P., & Wehenkel, L. (2005). Application of a data minig based technique for the evaluation of transmission expansion plans. In Proceedings of the 15th Power System Computation Conference (PSCC).
Peer reviewed

Marée, R., Geurts, P., Piater, J., & Wehenkel, L. (2005). Biomedical image classification with random subwindows and decision trees. In Computer Vision for Biomedical Image Applications (pp. 220-229). Berlin, Germany: Springer-Verlag Berlin. doi:10.1007/11569541_23
Peer reviewed

Marée, R., Geurts, P., Piater, J., & Wehenkel, L. (2005). Random Subwindows for Robust Image Classification. In C. Schmid, S. Soatto, ... C. Tomasi (Eds.), Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005) (pp. 34-40).
Peer reviewed

Wehenkel, L., Glavic, M., & Ernst, D. (2005). New developments in the application of automatic learning to power system control. In Proceedings of the 15th Power System Computation Conference (PSCC 2005).
Peer reviewed

De Seny, D., Fillet, M., Meuwis, M.-A., Lutteri, L., Geurts, P., Wehenkel, L., Bours, V., Piette, J., Malaise, M., & Merville, M.-P. (September 2004). Discovery of new rheumatoid arthritis biomarkers using SELDI-TOF-MS ProteinChip approach. Arthritis and Rheumatism, 50 (9, Suppl. S), 124.

Wehenkel, L. (2004). Whither dynamic congestion management ? [Paper presentation]. Bulk Power System Dynamics and Control - VI, Cortina d'Ampezzo, Italy.
Peer reviewed

Auvray, V., Dobson, I., & Wehenkel, L. (2004). Modifying eigenvalue interactions near weak resonance. In Proc. of International Symposium on Circuits and Systems (pp. 992 - V-995 Vol.5). doi:10.1109/ISCAS.2004.1329977
Peer reviewed

Olaru, C., & Wehenkel, L. (2004). Bias-variance tradeoff of soft decision trees [Paper presentation]. IPMU-04, Information Processing and Management of Uncertainty in Knowledge-Based Systems.
Peer reviewed

Huang, J., Vanier, G., Valette, A., Harrison, S., Lévesque, F., & Wehenkel, L. (2004). Operation rules determined by risk analysis for special protection systems at Hydro-Québec. In CIGRE (pp. 9pp. B5-205).
Peer reviewed

Marée, R., Geurts, P., Piater, J., & Wehenkel, L. (2004). A generic approach for image classification based on decision tree ensembles and local sub-windows. In K.-S. Hong & Z. Zhang (Eds.), Proceedings of the 6th Asian Conference on Computer Vision (pp. 860-865). Asian Federation of Computer Vision Societies (AFCV).
Peer reviewed

Wehenkel, L., & Pavella, M. (2004). Preventive vs. emergency control of power systems [Paper presentation]. IEEE PSCE Conference.
Peer reviewed

Bihain, A., Cirio, D., Fiorina, M., Lopez, R., Lucarella, D., Massucco, S., Ruiz Vega, D., Vournas, C., Van Cutsem, T., & Wehenkel, L. (2003). OMASES: A DYNAMIC SECURITY ASSESSMENT TOOL FOR THE NEW MARKET ENVIRONMENT. In Proc. IEEE Bologna Power Tech Conference (pp. 473). doi:10.1109/PTC.2003.1304418
Peer reviewed

Vassena, S., Mack, P., Druet, C., Rousseaux, P., & Wehenkel, L. (2003). A probabilistic approach to power system network planning under uncertainties. In Proceedings of the IEEE Bologna Power Tech Conference (pp. 6 pp. Vol.2). doi:10.1109/PTC.2003.1304668
Peer reviewed

Del Angel, A., Glavic, M., & Wehenkel, L. (2003). Using artificial neural networks to estimate rotor angles and speeds from phasor measurements [Paper presentation]. Intelligent Systems Applications to Power Systems.
Peer reviewed

N'Guessan, A., Pavella, M., & Wehenkel, L. (2003). An implementation of on-line transient stability screening and control using distributed processing. In Proc. of Intelligent Systems Application to Power Systems (pp. 6).
Peer reviewed

Marée, R., Geurts, P., Visimberga, G., Piater, J., & Wehenkel, L. (2003). An empirical comparison of machine learning algorithms for generic image classification. In F. Coenen, A. Preece, ... A. L. Macintosh (Eds.), Proceedings of the 23rd SGAI international conference on innovative techniques and applications of artificial intelligence, Research and development in intelligent systems XX (pp. 169-182). Springer.
Peer reviewed

Ernst, D., Geurts, P., & Wehenkel, L. (2003). Iteratively extending time horizon reinforcement learning. In Machine Learning: ECML 2003, 14th European Conference on Machine Learning (pp. 96-107). Berlin, Germany: Springer-Verlag Berlin. doi:10.1007/978-3-540-39857-8_11
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Glavic, M., Ernst, D., & Wehenkel, L. (2003). A reinforcement learning based discrete supplementary control for power system transient stability enhancement. In Proceedings of the 12th Intelligent Systems Application to Power Systems Conference (ISAP 2003).
Peer reviewed

Auvray, V., & Wehenkel, L. (2002). On the construction of the inclusion boundary neighbourhood for markov equivalence classes of bayesian network structures. In Proceedings of Uncertainty in Artificial Intelligence (pp. 10).
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Ernst, D., & Wehenkel, L. (2002). FACTS devices controlled by means of reinforcement learning algorithms. In Proceedings of the 14th Power Systems Computation Conference (PSCC 2002).
Peer reviewed

Druet, C., Ernst, D., & Wehenkel, L. (2000). Application of reinforcement learning to electrical power system closed-loop emergency control. In Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000. Heidelberg. doi:10.1007/3-540-45372-5_9
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Geurts, P., & Wehenkel, L. (2000). Temporal machine learning for switching control. In Proceedings of PKDD 2000, 4th European Conference on Principles of Data Mining and Knowledge Discovery (pp. 401-408). Lyon, France: Springer-Verlag.
Peer reviewed

Geurts, P., & Wehenkel, L. (2000). Investigation and reduction of discretization Variance in decision tree induction. In Proceedings of ECML 2000, European Conference on Machine Learning (pp. 162-170). Springer-Verlag.
Peer reviewed

Olaru, C., Geurts, P., & Wehenkel, L. (1999). Data mining tools and application in power system engineering. In Proceedings of the 13th Power System Computation Conference, PSCC99 (pp. 324-330).
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Wehenkel, L. (1999). Emergency control and its strategies. In Proceedings of the Power Systems Computation Conference 1999 (pp. 14).
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Bettiol, A., Ruiz-Vega, D., Ernst, D., Wehenkel, L., & Pavella, M. (1999). Transient stability-constrained optimal power flow. In Proceedings of the IEEE Power Tech'99.
Peer reviewed

Ruiz-Vega, D., Bettiol, A., Ernst, D., Wehenkel, L., & Pavella, M. (1998). Transient stability-constrained generation rescheduling. In Proceedings of 1998 IREP Symposium - Bulk Power System Dynamics and Control - IV (pp. 105-115).
Peer reviewed

SANCHEZ-UBEDA, E., & Wehenkel, L. (1998). The Hinges model: A one-dimensional continuous piecewise polynomial model. In Proc of IPMU'98 (pp. 878-885).
Peer reviewed

Ernst, D., Bettiol, A., Zhang, Y., Wehenkel, L., & Pavella, M. (1998). Compensation schemes for transient stability assessment and control. In Proceedings of LESCOPE 98 (pp. 225-230).
Peer reviewed

Geurts, P., & Wehenkel, L. (1998). Early prediction of electric power system blackouts by temporal machine learning. In Proceedings of ICML-AAAI 98 Workshop on "Predicting the future: AI approaches to time series analysis" (pp. 21-27).
Peer reviewed

Ernst, D., Bettiol, A., Zhang, Y., Wehenkel, L., & Pavella, M. (1998). Real-time transient stability emergency control of the South-Southeast Brazilian system. In Proceedings of SEPOPE 1998.

Geurts, P., & Wehenkel, L. (1998). Visualizing dynamic power system scenarios for data mining. In Proceedings of LESCOPE 98, Large Engineering Syst. Conf. on Power Engineering (pp. 217-224).
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Pavella, M., Wehenkel, L., Bettiol, A., & Ernst, D. (1997). An approach to real-time transient stability assessment and control. In Techniques for stability limit search - Publication IEEE : TP-138-0.
Peer reviewed

Wehenkel, L. (1996). On uncertainty measures used for decision tree induction. In B. Bouchon-Meunier (Ed.), Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 6).
Peer reviewed

Zhang, Y., Wehenkel, L., Rousseaux, P., & Pavella, M. (1996). First- and multi-swing transient stability limits of the Hydro-Québec system using the SIME method. In Proceedings of the Melecon'96 Conference (pp. 809-815).

Zhang, Y., Rousseaux, P., Wehenkel, L., & Pavella, M. (1996). SIME : a comprehensive approach to fast transient stability assessment. In Proceeding of the IEE Japan'96 Conference (pp. 177-182).

Jacquemart, Y., Wehenkel, L., Van Cutsem, T., & Pruvot, P. (1995). Statistical approaches to dynamic security assessment : the data base generation problem. In Proc. 2nd IFAC Symposium on Control of Power Plants and Power Systems.
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Zhang, Y., Rousseaux, P., Wehenkel, L., Pavella, M., Xue, Y., Meyer, B., & Trotignon, M. (1995). Hybrid extended equal-area criterion for fast transient stability assessment with detailed power system models. In Proceedings of the IFAC Symposium on Control of Power Plants and Power Systems (pp. 6).

Wehenkel, L., Van Cutsem, T., Pavella, M., Heilbronn, B., & Pruvot, P. (1994). Machine learning, neural networks and statistical pattern recognition for voltage security: a comparative study. In Proc. 5th International Conference on Intelligent System Applications to Power systems (pp. 521-528 (vol. 2).

Xue, Y., Rousseaux, P., Gao, Z., Wehenkel, L., Pavella, M., Belhomme, R., Euxibie, E., & Heilbronn, B. (1993). Dynamic extended equal area criterion. Part 1. Basic formulation. In Proceedings of the IEEE Athens Power Tech Conference (pp. 889-895).

Xue, Y., Zhang, Y., Gao, Z., Rousseaux, P., Wehenkel, L., Pavella, M., Trotignon, M., Duchamp, A., & Heilbronn, B. (1993). Dynamic extended equal area criterion. Part 2. Embedding fast valving and automatic voltage regulation. In Procedings of the IEEE Athens Power Tech Conference (pp. 896-900).

Euxibie, E., Goubin, M., Heilbronn, B., Wehenkel, L., Xue, Y., Van Cutsem, T., & Pavella, M. (1992). Prospects of application to the French system of fast methods for transient stability and voltage security assessment. In Proc. 1992 CIGRE Conference (pp. 38-208).

Van Cutsem, T., Wehenkel, L., Pavella, M., Heilbronn, B., & Goubin, M. (1991). Decision trees for detecting emergency voltage conditions. In Proc. 2nd Intern. workshop on Bulk power system voltage phenomena : voltage stability and security.

Wehenkel, L., Van Cutsem, T., & Pavella, M. (1988). Decision trees applied to on-line transient stability assessment of power systems. In Proc. Int. Symp. on Circuits and Systems (pp. 1887-1890). IEEE.
Peer reviewed

Wehenkel, L., Xue, Y., Van Cutsem, T., & Ribbens-Pavella, M. (1987). Machine learning applied to power systems transient security functions. In Proc. IMACS Int. Symp. on AI, Experts Systems and Languages in Modelling and Simulation (pp. 243-248).

Wehenkel, L., Van Cutsem, T., & Pavella, M. (1987). Artificial intelligence applied to on-line transient stability assessment of electric power systems. In Proc. 10th IFAC World Congress (pp. 308-313).
Peer reviewed

Wehenkel, L., Van Cutsem, T., & Pavella, M. (1986). Artificial intelligence applied to on-line transient stability assessment of electric power systems. In Proc. 25th IEEE Conf. on Decision and Control (CDC) (pp. 649-650). IEEE. doi:10.1109/cdc.1986.267413
Peer reviewed

Oral presentations in conferences with scientific selection committee

Huynh-Thu, V. A., Vandel, J., Irrthum, A., Wehenkel, L., & Geurts, P. (01 June 2012). Inferring gene regulatory networks from genetical genomics data [Paper presentation]. Capita Selecta in Complex Disease Analysis, Liege, Belgium.
Editorial reviewed

Huynh-Thu, V. A., Saeys, Y., Wehenkel, L., & Geurts, P. (2011). Statistical interpretation of machine learning-based feature rankings for biomarker discovery [Paper presentation]. Benelux Bioinformatics Conference (BBC11), Luxembourg, Luxembourg.
Peer reviewed

Huynh-Thu, V. A., Irrthum, A., Wehenkel, L., Saeys, Y., & Geurts, P. (2011). Inferring gene regulatory networks from expression data using tree-based methods [Paper presentation]. ISMB/ECCB 2011, Vienna, Austria.
Peer reviewed

Huynh-Thu, V. A., Irrthum, A., Wehenkel, L., Saeys, Y., & Geurts, P. (16 November 2010). Regulatory network inference with GENIE3: application to the DREAM5 challenge [Paper presentation]. 3rd Annual Joint Conference on Systems Biology, Regulatory Genomics, and Reverse Engineering Challenges, New York City, United States - New York.
Editorial reviewed

Huynh-Thu, V. A., Irrthum, A., Wehenkel, L., & Geurts, P. (October 2010). Inferring Regulatory Networks from Expression Data using Tree-based Methods [Paper presentation]. Workshop on Machine Learning in Systems Biology (MLSB10), Edinburgh, United Kingdom.
Peer reviewed

Huynh-Thu, V. A., Irrthum, A., Wehenkel, L., & Geurts, P. (2009). Inferring regulatory networks from expression data using tree-based methods [Paper presentation]. 2009 joint conference on Systems Biology, Regulatory Genomics, and Reverse Engineering Challenges, Boston, United States - Massachusetts.
Editorial reviewed

Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (May 2008). Deriving p-values for tree-based variable importance measures [Paper presentation]. Benelearn, Spa, Belgium.
Peer reviewed

Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (2008). Exploiting tree-based variable importances to selectively identify relevant variables [Paper presentation]. Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery (FSDM 2008).
Peer reviewed

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