Akrem Sellami
Akrem Sellami
INRIA Nancy Grand Est
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Citée par
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
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
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
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
Deep neural networks-based relevant latent representation learning for hyperspectral image classification
A Sellami, S Tabbone
Pattern Recognition 121, 108224, 2022
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
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
High-level hyperspectral image classification based on spectro-spatial dimensionality reduction
A Sellami, IR Farah
Spatial Statistics 16, 103-117, 2016
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
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
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
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
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
Monitoring intra-urban changes with hidden Markov models using the spatial relationships
H Essid, IR Farah, A Sellami, V Barra
International Journal on Graphics, Vision and Image Processing 12 (1), 49-55, 2012
A spatial hypergraph based semi-supervised band selection method for hyperspectral imagery semantic interpretation
A Sellami, IR Farah
International Journal of Computer and Information Engineering 10 (10), 1839-1846, 2016
EDNets: deep feature learning for document image classification based on multi-view encoder-decoder neural networks
A Sellami, S Tabbone
International Conference on Document Analysis and Recognition, 318-332, 2021
Video semantic segmentation using deep multi-view representation learning
A Sellami, S Tabbone
2020 25th International Conference on Pattern Recognition (ICPR), 1-7, 2021
An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification
R Hamdi, A Sellami, IR Farah
2018 4th International Conference on Advanced Technologies for Signal and …, 2018
A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation
A Sellami, B Sarker, S Tabbone, MD Devignes, S Aridhi
International Work-Conference on Bioinformatics and Biomedical Engineering …, 2022
Interprétation sémantique d'images hyperspectrales basée sur la réduction adaptative de dimensionnalité
A Sellami
Ecole nationale supérieure Mines-Télécom Atlantique, 2017
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