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2020 – today
- 2023
[c10]Ines Feki, Sourour Ammar
, Yousri Kessentini:
SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-Ray Images. ICCCI (CCIS Volume) 2023: 702-714- [i1]Sana Khamekhem Jemni, Sourour Ammar, Mohamed Ali Souibgui, Yousri Kessentini, Abbas Cheddad:
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents. CoRR abs/2303.03127 (2023) - 2022
- [j6]Mahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel:
Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification. Expert Syst. Appl. 197: 116636 (2022) - [j5]Sana Khamekhem Jemni, Sourour Ammar, Yousri Kessentini:
Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks. Neural Comput. Appl. 34(3): 2055-2071 (2022) - [j4]Ilef Ben Slima, Sourour Ammar, Mahmoud Ghorbel:
Possibilistic rank-level fusion method for person re-identification. Neural Comput. Appl. 34(17): 14151-14168 (2022) - [c9]Ines Feki, Sourour Ammar, Yousri Kessentini:
Self-supervised Learning for COVID-19 Detection from Chest X-ray Images. ISPR 2022: 78-89 - [c8]Ilef Ben Slima, Amina Jarraya, Sourour Ammar, Amel Borgi:
PCMCR: A Novel Conflict Resolution Strategy based on Possibility Theory for Human Activity Recognition. KES 2022: 926-935 - 2021
- [j3]Ines Feki, Sourour Ammar, Yousri Kessentini, Khan Muhammad:
Federated learning for COVID-19 screening from Chest X-ray images. Appl. Soft Comput. 106: 107330 (2021) - [j2]Nabila Mansouri, Sourour Ammar, Yousri Kessentini:
Re-ranking Person Re-identification using Attributes Learning. Neural Comput. Appl. 33(19): 12827-12843 (2021) - 2020
- [c7]Mahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel, Ahmed Chaari:
Fusing Local and Global Features for Person Re-identification Using Multi-stream Deep Neural Networks. MedPRAI 2020: 73-85 - [c6]Ilef Ben Slima, Sourour Ammar, Mahmoud Ghorbel, Yousri Kessentini:
Possibilistic Classifier Combination for Person Re-identification. MedPRAI 2020: 98-111
2010 – 2019
- 2019
- [j1]Yousri Kessentini, Mohamed Dhia Besbes, Sourour Ammar, Achraf Chabbouh:
A two-stage deep neural network for multi-norm license plate detection and recognition. Expert Syst. Appl. 136: 159-170 (2019) - [c5]Nabila Mansouri, Sourour Ammar, Yousri Kessentini:
Improving Person Re-Identification by Combining Siamese Convolutional Neural Network and Re-Ranking Process. AVSS 2019: 1-8 - [c4]Mahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel:
Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks. ICIAR (1) 2019: 345-356 - 2011
- [c3]Sourour Ammar, Philippe Leray:
Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space. ECSQARU 2011: 229-238 - [c2]François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel:
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) 2011: 113-128 - 2010
- [b1]Sourour Ammar:
Modèles Graphiques Probabilistes pour l'Estimation de Densité en grande dimension : applications du principe Perturb & Combine pour les mélanges d'arbres. (Probabilistic graphical models for density estimation in high dimensional spaces: application of the Perturb & Combine principle with tree mixtures). University of Nantes, France, 2010
2000 – 2009
- 2009
- [c1]Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel:
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. ECSQARU 2009: 156-167
Coauthor Index
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