| Stratification and prediction of remission in first-episode psychosis patients: the OPTiMiSE cohort study E Martinuzzi, S Barbosa, D Daoudlarian, W Bel Haj Ali, C Gilet, L Fillatre, ... Translational psychiatry 9 (1), 20, 2019 | 69 | 2019 |
| Classification and regression using an outer approximation projection-gradient method M Barlaud, W Belhajali, PL Combettes, L Fillatre IEEE Transactions on Signal Processing 65 (17), 4635-4644, 2017 | 21 | 2017 |
| 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 |
| Boosting k-NN for categorization of natural scenes R Nock, P Piro, F Nielsen, W Bel Haj Ali, M Barlaud International Journal of Computer Vision, 1-21, 2012 | 15 | 2012 |
| Biological cells classification using bio-inspired descriptor in a boosting k-NN framework W Bel Haj Ali, P Piro, D Giampaglia, T Pourcher, M Barlaud Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on, 1-6, 2012 | 13* | 2012 |
| Boosting stochastic newton with entropy constraint for large-scale image classification WBH Ali, R Nock, M Barlaud 2014 22nd International Conference on Pattern Recognition, 232-237, 2014 | 11 | 2014 |
| Boosting Nearest Neighbors for the Efficient Estimation of Posteriors R D’Ambrosio, R Nock, W Bel Haj Ali, F Nielsen, M Barlaud Machine Learning and Knowledge Discovery in Databases, 314-329, 2012 | 10 | 2012 |
| Gene expression and response prediction to amisulpride in the OPTiMiSE first episode psychoses R Troudet, WBH Ali, D Bacq-Daian, IW Rossum, A Boland-Auge, C Battail, ... Neuropsychopharmacology 45 (10), 1637-1644, 2020 | 5 | 2020 |
| Classification of biological cells using bio-inspired descriptors W Bel Haj Ali, D Giampaglia, M Barlaud, P Piro, R Nock, T Pourcher Pattern Recognition (ICPR), 2012 21st International Conference on, 3353-3357, 2012 | 5* | 2012 |
| A bio-inspired learning and classification method for subcellular localization of a plasma membrane protein WBH Ali, P Piro, L Crescence, D Giampaglia, O Ferhat, J Darcourt, ... VISAPP-Proceedings of the International Conference on Computer Vision Theory …, 2012 | 5 | 2012 |
| Bio-inspired Bags-of-features for Image Classification W Bel Haj Ali, E Debreuve, P Kornprobst, M Barlaud KDIR, 277-281, 2011 | 5* | 2011 |
| 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 Machine Learning in Medical Imaging, 119-127, 2012 | 4 | 2012 |
| Classification and regression using a constrained convex splitting method M Barlaud, W Belhajali, PL Combettes, L Fillatre IEEE Transactions on Signal Processing, 2017 | 3 | 2017 |
| Boosting k-Nearest Neighbors Classification P Piro, R Nock, W Bel Haj Ali, F Nielsen, M Barlaud Advanced Topics in Computer Vision, 341-375, 2013 | 3 | 2013 |
| 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 |
| Fast Newton Nearest Neighbors Boosting For Image Classification WBH Ali, R Nock, F Nielsen, M Barlaud MLSP-23rd Workshop on Machine Learning for Signal Processing, 6, 2013 | 2 | 2013 |
| Scalable Indexing of HD Video J Benois-Pineau, S Anthoine, C Morand, JP Domenger, E Debreuve, ... High-Quality Visual Experience, 497-524, 2010 | 2 | 2010 |
| Hybrid weighted-stego detection using machine learning L Fillatre, M Dumontet, WBH Ali, M Antonini, M Barlaud 2014 IEEE International Conference on Image Processing (ICIP), 4201-4205, 2014 | 1 | 2014 |
| Minimizing calibrated loss using stochastic lowrank newton descent for large scale image classification W BelHajAli, R Nock, M Barlaud International Conference on Pattern Recognition, 2014 | 1 | 2014 |
| Minimizing Calibrated Loss using Stochastic Low-Rank Newton Descent for large scale image classification WBH Ali, M Barlaud, R Nock | 1 | 2013 |
