| A two-stage deep neural network for multi-norm license plate detection and recognition Y Kessentini, MD Besbes, S Ammar, A Chabbouh Expert Systems with Applications 136, 159-170, 2019 | 19 | 2019 |
| Probability density estimation by perturbing and combining tree structured Markov networks S Ammar, P Leray, B Defourny, L Wehenkel European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009 | 15 | 2009 |
| High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks S Ammar, P Leray, B Defourny, L Wehenkel | 12 | 2008 |
| Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm S Ammar, P Leray, F Schnitzler, L Wehenkel | 11 | 2010 |
| Sub-quadratic Markov tree mixture models for probability density estimation S Ammar, P Leray, L Wehenkel | 6 | 2010 |
| Efficiently approximating Markov tree bagging for high-dimensional density estimation F Schnitzler, S Ammar, P Leray, P Geurts, L Wehenkel Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 5 | 2011 |
| Mixture of Markov trees for Bayesian network structure learning with small datasets in high dimensional space S Ammar, P Leray European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2011 | 4 | 2011 |
| Estimation de densité par ensembles aléatoires de poly-arbres S Ammar, P Leray, L Wehenkel | 3 | 2008 |
| Mélanges sous-quadratiques d'arbres de Markov pour l'estimation de la densité de probabilité S Ammar, P Leray, L Wehenkel | 2 | 2010 |
| Pertubation et combinaison d’arbres de markov pour l’estimation de densité S Ammar, P Leray, B Defoumy, L Wehenkel Proceedings of Conférence Francophone sur l’Apprentissage Automatique (CAp …, 2009 | 2 | 2009 |
| Improving person re-identification by combining Siamese convolutional neural network and re-ranking process N Mansouri, S Ammar, Y Kessentini 2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019 | 1 | 2019 |
| Approximation efficace de mélanges bootstrap d'arbres de Markov pour l'estimation de densité F Schnitzler, S Ammar, P Leray, P Geurts, L Wehenkel | 1 | 2012 |
| Modèles Graphiques Probabilistes pour l'Estimation de Densité en grande dimension: applications du principe Perturb & Combine pour les mélanges d'arbres S Ammar | 1 | 2010 |
| Probabilistic graphical models for density estimation in high dimensional spaces: application of the Perturb & Combine principle with tree mixtures S Ammar England: Université de Nantes, 2010 | 1 | 2010 |
| Density estimation with ensembles of randomized poly-trees S Ammar, P Leray, B Defourny, L Wehenkel | 1 | 2008 |
| Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks M Ghorbel, S Ammar, Y Kessentini, M Jmaiel International Conference on Image Analysis and Recognition, 345-356, 2019 | | 2019 |
| Modèles graphiques probabilistes pour l'estimation de densité en grande dimensionbTexte imprimé: applications du principe Perturb & Combine pour les mélanges d'arbres S Ammar Kessentini Nantes, 2010 | | 2010 |
| Étude Comparative des outils manipulant les réseaux bayésiens S AMMAR–Sourour, LI Rouen, P LERAY–Philippe | | |
| Sub-quadratic Markov tree mixture models for probability density estimation P Sourour Ammar, L Leray | | |
Philippe LERAYProfesseur, Université de NantesVahvistettu sähköpostiosoite verkkotunnuksessa univ-nantes.fr
