Sourour Ammar
Sourour Ammar
Assistant Professor at Digital Research Center of Sfax
Verified email at crns.rnrt.tn
Title
Cited by
Cited by
Year
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
292019
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
142009
High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks
S Ammar, P Leray, B Defourny, L Wehenkel
PGM 2008, 9-16, 2008
122008
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
112010
Sub-quadratic Markov tree mixture models for probability density estimation
S Ammar, P Leray, L Wehenkel
COMPSTAT 2010, ?-?, 2010
72010
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
52011
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
42011
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
32019
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
32010
Estimation de densité par ensembles aléatoires de poly-arbres
S Ammar, P Leray, L Wehenkel
Journées Francophone sur les Réseaux Bayésiens, 2008
32008
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
22019
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
22010
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
22009
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
12021
Approximation efficace de mélanges bootstrap d'arbres de Markov pour l'estimation de densité
F Schnitzler, S Ammar, P Leray, P Geurts, L Wehenkel
Conférence Francophone sur l'Apprentissage Automatique-CAp 2012, 16 p., 2012
12012
Modèles Graphiques Probabilistes pour l'Estimation de Densité en grande dimension: applications du principe Perturb & Combine pour les mélanges d'arbres
S Ammar
Université de Nantes, 2010
12010
Density estimation with ensembles of randomized poly-trees
S Ammar, P Leray, B Defourny, L Wehenkel
BENELEARN 2008, 31-32, 2008
12008
Re-ranking Person Re-identification using Attributes Learning
N Mansouri, S Ammar, Y Kessentini
Neural Computing and Applications, 1-17, 2021
2021
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
Pattern Recognition and Artificial Intelligence 1322, 73, 2021
2021
Possibilistic Classifier Combination for Person Re-identification
IB Slima, S Ammar, M Ghorbel, Y Kessentini
Pattern Recognition and Artificial Intelligence 1322, 98, 2021
2021
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Articles 1–20