| Federated learning for COVID-19 screening from Chest X-ray images I Feki, S Ammar, Y Kessentini, K Muhammad Applied Soft Computing 106, 107330, 2021 | 213 | 2021 |
| 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 | 125 | 2019 |
| Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks SK Jemni, S Ammar, Y Kessentini Neural Computing and Applications 34 (3), 2055-2071, 2022 | 15 | 2022 |
| 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 | 14 | 2009 |
| Re-ranking person re-identification using attributes learning N Mansouri, S Ammar, Y Kessentini Neural Computing and Applications 33 (19), 12827-12843, 2021 | 11 | 2021 |
| Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm S Ammar, P Leray, F Schnitzler, L Wehenkel PGM 2010, 17-25, 2010 | 11 | 2010 |
| High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks S Ammar, P Leray, B Defourny, L Wehenkel Fourth European Workshop on Probabilistic Graphical Models (PGM08), 2008 | 11 | 2008 |
| Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification M Ghorbel, S Ammar, Y Kessentini, M Jmaiel Expert Systems with Applications 197, 116636, 2022 | 10 | 2022 |
| 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 | 6 | 2019 |
| 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 | 6 | 2019 |
| Sub-quadratic Markov tree mixture models for probability density estimation S Ammar, P Leray, L Wehenkel COMPSTAT 2010, ?-?, 2010 | 6 | 2010 |
| Efficiently approximating Markov tree bagging for high-dimensional density estimation F Schnitzler, S Ammar, P Leray, P Geurts, L Wehenkel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 5 | 2011 |
| Fusing local and global features for person re-identification using multi-stream deep neural networks M Ghorbel, S Ammar, Y Kessentini, M Jmaiel, A Chaari Mediterranean Conference on Pattern Recognition and Artificial Intelligence …, 2020 | 4 | 2020 |
| Mixture of markov trees for bayesian network structure learning with small datasets in high dimensional space S Ammar, P Leray Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 11th …, 2011 | 4 | 2011 |
| ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents SK Jemni, S Ammar, MA Souibgui, Y Kessentini, A Cheddad arXiv preprint arXiv:2303.03127, 2023 | 3 | 2023 |
| Possibilistic rank-level fusion method for person re-identification I Ben Slima, S Ammar, M Ghorbel Neural Computing and Applications 34 (17), 14151-14168, 2022 | 3 | 2022 |
| Self-supervised learning for COVID-19 detection from chest x-ray images I Feki, S Ammar, Y Kessentini International Conference on Intelligent Systems and Pattern Recognition, 78-89, 2022 | 3 | 2022 |
| Estimation de densité par ensembles aléatoires de poly-arbres S Ammar, P Leray, L Wehenkel Journées Francophone sur les Réseaux Bayésiens, 2008 | 3 | 2008 |
| 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 | 2 | 2010 |
| Mélanges sous-quadratiques d'arbres de Markov pour l'estimation de la densité de probabilité S Ammar, P Leray, L Wehenkel 5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), 2010 | 2 | 2010 |
Yousri KessentiniDigital Research Center of Sfax (CRNS), Tunisia在 crns.rnrt.tn 的电子邮件经过验证
