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2020 – today
- 2021
[j5]Mahmoud Almasri
, Ali Mansour, Christophe Moy, Ammar Assoum, Denis Le Jeune, Christophe Osswald:
Distributed Competitive Decision Making Using Multi-Armed Bandit Algorithms. Wirel. Pers. Commun. 118(2): 1165-1188 (2021)- 2020
- [j4]Mahmoud Almasri, Ali Mansour, Christophe Moy, Ammar Assoum, Christophe Osswald, Denis Lejeune:
Distributed algorithm under cooperative or competitive priority users in cognitive networks. EURASIP J. Wirel. Commun. Netw. 2020(1): 145 (2020) - [c16]Mahmoud Almasri, Ali Mansour, Christophe Moy, Ammar Assoum, D. Le Jeune, Christophe Osswald:
Managing Single or Multi-Users Channel Allocation for the Priority Cognitive Access. EUSIPCO 2020: 1722-1726
2010 – 2019
- 2019
- [c15]Mahmoud Almasri, Ali Mansour, Christophe Moy, Ammar Assoum, Christophe Osswald, Denis Lejeune:
Distributed Algorithm to Learn OSA Channels Availability and Enhance the Transmission Rate of Secondary Users. ISCIT 2019: 356-360 - 2018
- [c14]Mahmoud Almasri, Ammar Assoum, Ali Mansour, Christophe Osswald, Christophe Moy, Denis Lejeune:
Opportunistic Spectrum Access in Cognitive Radio for Tactical Network. EECS 2018: 598-603 - 2016
- [j3]Fadi Dornaika, Youssof El Traboulsi, Ammar Assoum:
Inductive and flexible feature extraction for semi-supervised pattern categorization. Pattern Recognit. 60: 275-285 (2016) - [c13]Fadi Dornaika, Ammar Assoum, Abdelmalik Moujahid:
Place Recognition Using Image Retrieval with Covariance Descriptors. IRIACV 2016: 1-6 - 2015
- [j2]Youssof El Traboulsi, Fadi Dornaika, Ammar Assoum:
Kernel flexible manifold embedding for pattern classification. Neurocomputing 167: 517-527 (2015) - [c12]Ghina Dandachi, Ammar Assoum, Bachar Elhassan, Fadi Dornaika:
Machine learning schemes in augmented reality for features detection. DICTAP 2015: 101-105 - [c11]Fadi Dornaika, Ammar Assoum, Yassine Ruichek:
Graph optimized Laplacian eigenmaps for face recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2015: 94060E - 2014
- [c10]Fadi Dornaika, Youssof El Traboulsi, Blanca Cases, Ammar Assoum:
Image Classification via Semi-supervised Feature Extraction with Out-of-Sample Extension. ISVC (1) 2014: 182-192 - 2013
- [j1]Fadi Dornaika, Ammar Assoum:
Enhanced and parameterless Locality Preserving Projections for face recognition. Neurocomputing 99: 448-457 (2013) - [c9]Fadi Dornaika, Youssof El Traboulsi, Ammar Assoum:
Adaptive Two Phase Sparse Representation Classifier for Face Recognition. ACIVS 2013: 182-191 - [c8]Fadi Dornaika, Ammar Assoum:
Supervised linear dimensionality reduction with robust margins for object recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2013: 86620R - [c7]Fadi Dornaika, A. Bosgahzadeh, Ammar Assoum:
Model-less 3D Head Pose Estimation using Self-optimized Local Discriminant Embedding. VISAPP (2) 2013: 347-352 - 2012
- [c6]Fadi Dornaika, Ammar Assoum:
A novel margin-based linear embedding technique for visual object recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 83010Q - [c5]Fadi Dornaika, Ammar Assoum, Bogdan Raducanu:
Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection. SSPR/SPR 2012: 575-583 - 2011
- [c4]Fadi Dornaika, Ammar Assoum, Alireza Bosaghzadeh:
Combining Linear Dimensionality Reduction and Locality Preserving Projections with Feature Selection for Recognition Tasks. ACIVS 2011: 127-138 - [c3]Fadi Dornaika, Ammar Assoum:
Selective locality preserving projections for face recognition. Intelligent Robots and Computer Vision: Algorithms and Techniques 2011: 78780Y - [c2]Fadi Dornaika, Ammar Assoum, Abdelmalik Moujahid:
Enhanced and Parameterless Locality Preserving Projections for Face Recognition. Intelligent Environments (Workshops) 2011: 374-383 - 2010
- [c1]Fadi Dornaika, Ammar Assoum:
Linear Dimensionality Reduction through Eigenvector Selection for Object Recognition. ISVC (1) 2010: 276-285
1990 – 1999
- 1997
- [b1]Ammar Assoum:
Etude de la tolérance aux aléas logiques des réseaux de neurones artificiels. (Tolerance of artificial neural networks against single event upsets). Grenoble Institute of Technology, France, 1997
Coauthor Index
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