עקוב אחר
Akrem Sellami
Akrem Sellami
Associate Professor (MCF), CRIStAL-lab, Université de lille
כתובת אימייל מאומתת בדומיין univ-lille.fr - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Deep neural networks-based relevant latent representation learning for hyperspectral image classification‏
A Sellami, S Tabbone‏
Pattern Recognition 121, 108224, 2022‏
1552022
Bringing deep learning at the edge of information-centric internet of things‏
H Khelifi, S Luo, B Nour, A Sellami, H Moungla, SH Ahmed, M Guizani‏
IEEE Communications Letters 23 (1), 52-55, 2018‏
1302018
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection‏
A Sellami, M Farah, IR Farah, B Solaiman‏
Expert Systems with Applications 129, 246-259, 2019‏
1282019
An optimized proactive caching scheme based on mobility prediction for vehicular networks‏
H Khelifi, S Luo, B Nour, A Sellami, H Moungla, F Naït-Abdesselam‏
2018 IEEE global communications conference (GLOBECOM), 1-6, 2018‏
762018
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification‏
A Sellami, AB Abbes, V Barra, IR Farah‏
Pattern Recognition Letters 138, 594-600, 2020‏
692020
Driving path stability in VANETs‏
M Laroui, A Sellami, B Nour, H Moungla, H Afifi, SB Hacene‏
2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018‏
282018
Hyperspectral imagery semantic interpretation based on adaptive constrained band selection and knowledge extraction techniques‏
A Sellami, M Farah, IR Farah, B Solaiman‏
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018‏
262018
Comparative study of dimensionality reduction methods for remote sensing images interpretation‏
A Sellami, M Farah‏
2018 4th International Conference on Advanced Technologies for Signal and …, 2018‏
212018
Spectra-spatial graph-based deep restricted boltzmann networks for hyperspectral image classification‏
A Sellami, IR Farah‏
2019 PhotonIcs & Electromagnetics Research Symposium-Spring (PIERS-Spring …, 2019‏
192019
High-level hyperspectral image classification based on spectro-spatial dimensionality reduction‏
A Sellami, IR Farah‏
Spatial Statistics 16, 103-117, 2016‏
182016
SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification‏
A Sellami, M Farah, M Dalla Mura‏
Pattern Recognition Letters 165, 98-106, 2023‏
172023
Semi-supervised classification of hyperspectral image through deep encoder-decoder and graph neural networks‏
R Hanachi, A Sellami, IR Farah, M Dalla Mura‏
2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-8, 2021‏
142021
Mapping individual differences in cortical architecture using multi-view representation learning‏
A Sellami, FX Dupé, B Cagna, H Kadri, S Ayache, T Artières, S Takerkart‏
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020‏
132020
Multi-view graph representation learning for hyperspectral image classification with spectral–spatial graph neural networks‏
R Hanachi, A Sellami, IR Farah, M Dalla Mura‏
Neural Computing and Applications 36 (7), 3737-3759, 2024‏
112024
Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism.‏
R Hanachi, A Sellami, IR Farah‏
VISIGRAPP (4: VISAPP), 56-66, 2021‏
92021
A deep learning approach based on morphological profiles for Hyperspectral Image unmixing‏
M Ayed, R Hanachi, A Sellami, IR Farah, M Dalla Mura‏
2022 6th International Conference on Advanced Technologies for Signal and …, 2022‏
72022
A spatial hypergraph based semi-supervised band selection method for hyperspectral imagery semantic interpretation‏
A Sellami, IR Farah‏
Int. J. Comput. Inf. Eng 10 (10), 1839-1846, 2016‏
52016
Historical document image segmentation combining deep learning and gabor features‏
M Mehri, A Sellami, S Tabbone‏
International Conference on Document Analysis and Recognition, 395-410, 2023‏
42023
Video semantic segmentation using deep multi-view representation learning‏
A Sellami, S Tabbone‏
2020 25th International Conference on Pattern Recognition (ICPR), 1-7, 2021‏
42021
EDNets: deep feature learning for document image classification based on multi-view encoder-decoder neural networks‏
A Sellami, S Tabbone‏
Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021‏
42021
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מאמרים 1–20