Sourour Ammar
Orcid: 0000-0002-5851-9206
According to our database1,
Sourour Ammar
authored at least 18 papers
between 2009 and 2023.
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Bibliography
2023
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents.
CoRR, 2023
SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-Ray Images.
Proceedings of the Advances in Computational Collective Intelligence, 2023
2022
Neural Comput. Appl., 2022
Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks.
Neural Comput. Appl., 2022
Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification.
Expert Syst. Appl., 2022
PCMCR: A Novel Conflict Resolution Strategy based on Possibility Theory for Human Activity Recognition.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Proceedings of the Intelligent Systems and Pattern Recognition, 2022
2021
Neural Comput. Appl., 2021
Appl. Soft Comput., 2021
2020
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
Fusing Local and Global Features for Person Re-identification Using Multi-stream Deep Neural Networks.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
2019
A two-stage deep neural network for multi-norm license plate detection and recognition.
Expert Syst. Appl., 2019
Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Improving Person Re-Identification by Combining Siamese Convolutional Neural Network and Re-Ranking Process.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019
2011
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
2010
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).
PhD thesis, 2010
2009
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009