Publications and communications of Louis Wehenkel

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

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.

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.

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

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.

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

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.

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. (2000). Automatic Learning Approaches for Electric Power Systems. In C. T. Leondes, Knowledge-Based Systems Techniques and Applications, Volume 3 (pp. 977-1036). Academic Press.

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.

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

Donon, B., Cubelier, F., Karangelos, E., Wehenkel, L., Crochepierre, L., Pache, C., Saludjian, L., & Panciatici, P. (27 June 2024). Topology-Aware Reinforcement Learning for Tertiary Voltage Control. Electric Power Systems Research, 234, 110658. doi:10.1016/j.epsr.2024.110658

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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.

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.

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

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

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

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

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.

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

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

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

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

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

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.

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.

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

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

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

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.

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

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

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

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

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

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

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

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

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

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.

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.

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

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

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.

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

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

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.

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

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

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

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

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

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

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

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.

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

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.

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

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

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

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

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

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

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.

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.

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

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

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

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).

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

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).

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

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

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

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).

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.

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

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

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.

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).

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

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

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).

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.

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

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).

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

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

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.

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.

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).

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

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

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

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.

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.

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

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

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).

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).

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.

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).

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

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

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

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.

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).

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).

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.

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

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.

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).

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.

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

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

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

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).

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.

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

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

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

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

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

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

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

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.

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.

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.

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.

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.

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).

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

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).

Ammar, S., Leray, P., & Wehenkel, L. (2008). Estimation de densité par ensemble aléatoire de poly-arbres [Paper presentation]. Journées Françaises des Réseaux Bayesiens.

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).

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

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

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.

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

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

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

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

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

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

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.

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

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.

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.

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.

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.

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

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).

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).

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).

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.

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

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.

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.

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

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

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.

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

Capitanescu, F., Glavic, M., & Wehenkel, L. (2005). Applications of an interior point method based optimal power flow. In CEE 05 conference.

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

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).

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).

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

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

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).

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).

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

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).

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.

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

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).

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).

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.

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

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

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

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.

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

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).

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.

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).

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

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).

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).

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

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.

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.

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.

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).

Wehenkel, L. (1999). Emergency control and its strategies. In Proceedings of the Power Systems Computation Conference 1999 (pp. 14).

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).

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

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.

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).

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).

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).

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.

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).

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).

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).

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.

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.

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).

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. (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

Bahrami, M., & Wehenkel, L. (20 August 2024). Coordinated EV Charging Attacks to Cause Transmission Line Overloads [Paper presentation]. 2024 9th International Youth Conference on Energy (IYCE), Colmar, France. doi:10.1109/IYCE60333.2024.10634957

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.

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.

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.

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.

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.

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.

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

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).