| Extremely randomized trees P Geurts, D Ernst, L Wehenkel Machine learning 63 (1), 3-42, 2006 | 4384 | 2006 |
| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature Methods, 2012 | 1400 | 2012 |
| Tree-based batch mode reinforcement learning D Ernst, P Geurts, L Wehenkel Journal of Machine Learning Research 6, 503-556, 2005 | 1102 | 2005 |
| Inferring regulatory networks from expression data using tree-based methods VA Huynh-Thu, A Irrthum, L Wehenkel, P Geurts PLoS One 5 (9), e12776, 2010 | 1021 | 2010 |
| SCENIC: single-cell regulatory network inference and clustering S Aibar, CB González-Blas, T Moerman, VA Huynh-Thu, H Imrichova, ... Nature methods 14 (11), 1083-1086, 2017 | 971 | 2017 |
| Understanding variable importances in forests of randomized trees G Louppe, L Wehenkel, A Sutera, P Geurts Advances in neural information processing systems 26, 431-439, 2013 | 805 | 2013 |
| Pattern extraction for time series classification P Geurts European conference on principles of data mining and knowledge discovery …, 2001 | 425 | 2001 |
| Random subwindows for robust image classification R Marée, P Geurts, J Piater, L Wehenkel 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 330 | 2005 |
| Supervised learning with decision tree-based methods in computational and systems biology P Geurts, A Irrthum, L Wehenkel Molecular Biosystems 5 (12), 1593-1605, 2009 | 184 | 2009 |
| Proteomic mass spectra classification using decision tree based ensemble methods P Geurts, M Fillet, D De Seny, MA Meuwis, M Malaise, MP Merville, ... Bioinformatics 21 (14), 3138-3145, 2005 | 165 | 2005 |
| MicroRNAs profiling in murine models of acute and chronic asthma: a relationship with mRNAs targets N Garbacki, E Di Valentin, VA Huynh-Thu, P Geurts, A Irrthum, C Crahay, ... PloS one 6 (1), e16509, 2011 | 160 | 2011 |
| Discovery of new rheumatoid arthritis biomarkers using the surface‐enhanced laser desorption/ionization time‐of‐flight mass spectrometry ProteinChip approach D De Seny, M Fillet, MA Meuwis, P Geurts, L Lutteri, C Ribbens, V Bours, ... Arthritis & Rheumatism 52 (12), 3801-3812, 2005 | 136 | 2005 |
| Contributions to decision tree induction: bias/variance tradeoff and time series classification P Geurts ULiège-University of Liège, 2002 | 125 | 2002 |
| Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling MA Meuwis, M Fillet, P Geurts, D De Seny, L Lutteri, JP Chapelle, V Bours, ... Biochemical pharmacology 73 (9), 1422-1433, 2007 | 123 | 2007 |
| Ensembles on random patches G Louppe, P Geurts Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012 | 110 | 2012 |
| Collaborative analysis of multi-gigapixel imaging data using Cytomine R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ... Bioinformatics 32 (9), 1395-1401, 2016 | 108 | 2016 |
| DMFSGD: A decentralized matrix factorization algorithm for network distance prediction Y Liao, W Du, P Geurts, G Leduc IEEE/ACM Transactions on Networking 21 (5), 1511-1524, 2012 | 90 | 2012 |
| Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge CW Wang, CT Huang, MC Hsieh, CH Li, SW Chang, WC Li, R Vandaele, ... IEEE transactions on medical imaging 34 (9), 1890-1900, 2015 | 89 | 2015 |
| Automated processing of zebrafish imaging data: a survey R Mikut, T Dickmeis, W Driever, P Geurts, FA Hamprecht, BX Kausler, ... Zebrafish 10 (3), 401-421, 2013 | 84 | 2013 |
| Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities A Del Angel, P Geurts, D Ernst, M Glavic, L Wehenkel Neurocomputing 70 (16-18), 2668-2678, 2007 | 83 | 2007 |
Louis WehenkelProfessor of Electrical Engineering and Computer Science, University of LiègeVerified email at ulg.ac.be
