| Extremely randomized trees P Geurts, D Ernst, L Wehenkel Machine learning 63, 3-42, 2006 | 9409 | 2006 |
| 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 | 4413 | 2017 |
| 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 | 2072 | 2010 |
| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature Methods, 2012 | 1932 | 2012 |
| Tree-based batch mode reinforcement learning D Ernst, P Geurts, L Wehenkel Journal of Machine Learning Research 6, 2005 | 1566 | 2005 |
| Understanding variable importances in forests of randomized trees G Louppe, L Wehenkel, A Sutera, P Geurts Advances in neural information processing systems 26, 2013 | 1431 | 2013 |
| Pattern extraction for time series classification P Geurts European conference on principles of data mining and knowledge discovery …, 2001 | 494 | 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 | 344 | 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 | 285 | 2009 |
| Ensembles on random patches G Louppe, P Geurts Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 240 | 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 | 224 | 2015 |
| dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data VA Huynh-Thu, P Geurts Scientific reports 8 (1), 3384, 2018 | 217 | 2018 |
| 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 | 205 | 2016 |
| 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 | 181 | 2011 |
| 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 | 180 | 2005 |
| Comparison of deep transfer learning strategies for digital pathology R Mormont, P Geurts, R Marée Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 153 | 2018 |
| Contributions to decision tree induction: bias/variance tradeoff and time series classification P Geurts Universite de Liege (Belgium), 2002 | 147 | 2002 |
| 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 | 144 | 2005 |
| 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 | 139 | 2007 |
| Statistical interpretation of machine learning-based feature importance scores for biomarker discovery VA Huynh-Thu, Y Saeys, L Wehenkel, P Geurts Bioinformatics 28 (13), 1766-1774, 2012 | 124 | 2012 |
Louis WehenkelProfessor of EE&CS, Montefiore Institute, ULiège - University of LiègeVerified email at ulg.ac.be
