Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. - Sourour Ammar; Philippe Leray 001; Boris Defourny; Louis Wehenkel (ECSQARU, 2009)

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). - Sourour Ammar (2010)

Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space. - Sourour Ammar; Philippe Leray 001 (ECSQARU, 2011)

Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. - François Schnitzler; Sourour Ammar; Philippe Leray 001; Pierre Geurts; Louis Wehenkel (ECML/PKDD (3), 2011)

Improving Person Re-Identification by Combining Siamese Convolutional Neural Network and Re-Ranking Process. - Nabila Mansouri; Sourour Ammar; Yousri Kessentini (AVSS, 2019)

Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks. - Mahmoud Ghorbel; Sourour Ammar; Yousri Kessentini; Mohamed Jmaiel (ICIAR (1), 2019)

A two-stage deep neural network for multi-norm license plate detection and recognition. - Yousri Kessentini; Mohamed Dhia Besbes; Sourour Ammar; Achraf Chabbouh (Expert Syst. Appl., 2019)

Fusing Local and Global Features for Person Re-identification Using Multi-stream Deep Neural Networks. - Mahmoud Ghorbel; Sourour Ammar; Yousri Kessentini; Mohamed Jmaiel; Ahmed Chaari (MedPRAI, 2020)

Possibilistic Classifier Combination for Person Re-identification. - Ilef Ben Slima; Sourour Ammar; Mahmoud Ghorbel; Yousri Kessentini (MedPRAI, 2020)

Federated learning for COVID-19 screening from Chest X-ray images. - Ines Feki; Sourour Ammar; Yousri Kessentini; Khan Muhammad 001 (Appl. Soft Comput., 2021)

Re-ranking Person Re-identification using Attributes Learning. - Nabila Mansouri; Sourour Ammar; Yousri Kessentini (Neural Comput. Appl., 2021)

Self-supervised Learning for COVID-19 Detection from Chest X-ray Images. - Ines Feki; Sourour Ammar; Yousri Kessentini (ISPR, 2022)

PCMCR: A Novel Conflict Resolution Strategy based on Possibility Theory for Human Activity Recognition. - Ilef Ben Slima; Amina Jarraya; Sourour Ammar; Amel Borgi (KES, 2022)

Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification. - Mahmoud Ghorbel; Sourour Ammar; Yousri Kessentini; Mohamed Jmaiel (Expert Syst. Appl., 2022)

Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks. - Sana Khamekhem Jemni; Sourour Ammar; Yousri Kessentini (Neural Comput. Appl., 2022)

Possibilistic rank-level fusion method for person re-identification. - Ilef Ben Slima; Sourour Ammar; Mahmoud Ghorbel (Neural Comput. Appl., 2022)

SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-Ray Images. - Ines Feki; Sourour Ammar; Yousri Kessentini (ICCCI (CCIS Volume), 2023)

CNN-Trans: A Two-Branch CNN Transformer Model for Multivariate Time Series Classification. - Sarra Hassine; Sourour Ammar; Ilef Ben Slima (ICAART (2), 2025)

ST-KeyS: Self-supervised Transformer for Keyword Spotting in historical handwritten documents. - Sana Khamekhem Jemni; Sourour Ammar; Mohamed Ali Souibgui; Yousri Kessentini; Abbas Cheddad (Pattern Recognit., 2026)