| Kernel methods for heterogeneous feature selection J Paul, P Dupont Neurocomputing 169, 187-195, 2015 | 29 | 2015 |
| Gentle nearest neighbors boosting over proper scoring rules R Nock, WBH Ali, R D’Ambrosio, F Nielsen, M Barlaud IEEE transactions on pattern analysis and machine intelligence 37 (1), 80-93, 2014 | 15 | 2014 |
| Estimation of optical properties of neuroendocrine pancreas tumor with double-integrating-sphere system and inverse Monte Carlo model P Saccomandi, ES Larocca, V Rendina, E Schena, R D’Ambrosio, ... Lasers in medical science 31, 1041-1050, 2016 | 11 | 2016 |
| Boosting nearest neighbors for the efficient estimation of posteriors R d’Ambrosio, R Nock, WBH Ali, F Nielsen, M Barlaud Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012 | 10 | 2012 |
| Automatic facial expression recognition using statistical-like moments R D’Ambrosio, G Iannello, P Soda Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011 | 7 | 2011 |
| Softmax regression for ecoc reconstruction R D’Ambrosio, G Iannello, P Soda Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 6 | 2013 |
| Learning to rank with deep neural networks G Huybrechts, P Dupont Master’s thesis, Ecole polytechnique de Louvain (EPL), 2016 | 5 | 2016 |
| Biomedical classification tasks by softmax reconstruction in ECOC framework R D'Ambrosio, G Iannello, P Soda 6th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013), 2013 | 5 | 2013 |
| A One-per-Class reconstruction rule for class imbalance learning R D'Ambrosio, G Iannello, P Soda Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 4 | 2012 |
| Biomedical images classification by universal nearest neighbours classifier using posterior probability R d’Ambrosio, W Bel Haj Ali, R Nock, P Soda, F Nielsen, M Barlaud International Workshop on Machine Learning in Medical Imaging, 119-127, 2012 | 4 | 2012 |
| A mixture Cox-Logistic model for feature selection from survival and classification data S Branders, R D'Ambrosio, P Dupont arXiv preprint arXiv:1502.01493, 2015 | 3 | 2015 |
| Handling imbalanced datasets by reconstruction rules in decomposition schemes R d'Ambrosio Université Nice Sophia Antipolis, 2014 | 3 | 2014 |
| Polichotomies on imbalanced domains by one-per-class compensated reconstruction rule R D’Ambrosio, P Soda Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2012 | 3 | 2012 |
| Boosting stochastic newton descent for bigdata large scale classification R D'Ambrosio, W Belhajali, M Barlaud 2014 IEEE International Conference on Big Data (Big Data), 36-41, 2014 | 2 | 2014 |
| The Coxlogit model: Feature selection from survival and classification data S Branders, R D'Ambrosio, P Dupont 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2014 | 1 | 2014 |
| Real-time biomedical instance selection C Zhang, R DAmbrosio, P Soda 2014 IEEE 27th International Symposium on Computer-Based Medical Systems …, 2014 | 1 | 2014 |
| Classification de bases de données déséquilibrées par des règles de décomposition R D'Ambrosio Nice, 2014 | | 2014 |
| “Real-time” Instance Selection for Biomedical Data Classification C Zhang, R D’Ambrosio, P Soda Data Warehousing and Knowledge Discovery: 16th International Conference …, 2014 | | 2014 |
| Optimization of the REED web application for automatic outlier detection in predictive medicine S Lambot, A Pignolet, P Dupont, J PAUL, R D’AMBROSIO | | |
| Feature selection for survival analysis P Heymans, P Dupont, R D'Ambrosio | | |
Pierre DupontProfessor of Computer Science, ICTEAM, EPL, Université catholique de LouvainGeverifieerd e-mailadres voor uclouvain.be
