- Lucas Wauters, Françoise Smets, Elisabeth De Greef, Patrick Bontems, Ilse Hoffman, Bruno Hauser, Philippe Alliet, Wim Arts, Harald Peeters, Stephanie Van Biervliet, Isabelle Paquot, Els Van de Vijver, Martine De Vos, Peter Bossuyt, Jean-François Rahier, Olivier Dewit, Tom Moreels, Denis Franchimont, Vincianne Muls, Fernand Fontaine, Edouard Louis, Jean-Charles Coche, Filip Baert, Jérôme Paul, Séverine Vermeire, Geneviève Veereman, Long-term Outcomes with Anti-TNF Therapy and Accelerated Step-up in the Prospective Pediatric Belgian Crohn’s Disease Registry (BELCRO), Inflammatory Bowel Diseases, 2017, (ahead of print)
- L Wauters, F Smets, E De Greef, P Bontems, I Hoffman, B Hauser, P Alliet, W Arts, H Peeters, S Van Biervliet, I Paquot, E Van de Vijver, M De Vos, P Bossuyt, J-F ahier, O Dewit, T Moreels, D Franchimont, V Muls, F Fontaine, E Louis, J-C Coche, J Paul, F Baert, S Vermeire, G Veereman, Type of treating physician is associated with long-term disease outcome in the prospective Belgian paediatric Crohn’s disease registry, Journal of Cronhs & Colitis, Volume 10, pp. S167–S168.
- J. Paul, R. D’Ambrosio and P. Dupont, Kernel methods for heterogeneous feature selection, Neurocomputing, Volume 169, December 2, 2015, pp. 187-195.
- Catherine Lombard, Floriane André, Jérôme Paul, Catherine Wanty, Olivier Vosters, Pierre Bernard, Charles Pilette, Pierre Dupont, Etienne Sokal and Françoise Smets, Clinical Parameters vs Cytokine Profiles as Predictive Markers of IgE-Mediated Allergy in Young Children, PLoS ONE, Volume 10 (7), July 27, 2015, e0132753.
- J. Paul and P. Dupont, Inferring statistically significant features from random forests, Neurocomputing, Volume 150, Part B, February 20, 2015, pp. 471-480, ISSN 0925-2312.
- J. Paul and P. Dupont, Statistically interpretable importance indices for Random Forests, 23rd Annual Machine Learning Conference of Belgium and the Netherlands (BENELEARN), p. 7, Brussels, Belgium, June 6, 2014.
- J. Paul and P. Dupont, Kernel methods for mixed feature selection, ESANN2014, 22th European Symposium on Artificial Neural Networks – Computational Intelligence and Machine Learning, pp. 301-306, Bruges, Belgium, April 23-25, 2014.
- J. Paul, M. Verleysen and P. Dupont, Identification of Statistically Significant Features from Random Forest, ECML workshop on Solving Complex Machine Learning Problems with Ensemble Methods, pp. 69-80, Prague, Czech Republic, September 27, 2013.
- J. Paul, M. Verleysen and P. Dupont, The stability of feature selection and class prediction from ensemble tree classifiers, ESANN 2012, 20th European Symposium on Artificial Neural Networks – Computational Intelligence and Machine Learning, pp. 263-268, Bruges (Belgium), April 25-27, 2012.
- C. Lombard, F. André, C. Wanty, J. Paul, P. Dupont, E. Sokal, F. Smets, Differences in the cytokine profiles of cord blood mononuclear cells from allergic and non-allergic infants (Poster), European Society for Paediatric Gastroenterology, Hepatology, and Nutrition (ESPGHAN’12), Stockholm, Sweden, April 27-28, 2012.
- J. Paul, Feature Selection from Heterogeneous Biomedical Data, PhD Thesis, June 29, 2015, advisor: P. Dupont
- jForest (https://github.com/jeromepaul/jForest) is a generic implementation of tree ensemble methods. It is designed to be very modular and enables easy tuning of the tree induction process, classification criterion and feature importance index. It is developed in Java and bundled in the form of a R package. jForest implements our statistically interpretable feature importance index (see publications).
- HRS2C2 (http://hrs2c2.com/), an online calculator for the Hemorrhagic Risk Scoring System in Cirrhotic Children.
- REED (http://reed.dnalytics.com/): Rapid & Easy Evaluation of Datasets