Akrem Sellami

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Venues

Ecole nationale supérieure Mines-Télécom Atlantique, France (PHD)

Education History

Ecole nationale supérieure Mines-Télécom Atlantique, France

PHD

Publications

Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing. Knowl. Based Syst. 299 (2024)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
Multi-view graph representation learning for hyperspectral image classification with spectral-spatial graph neural networks. Neural Comput. Appl. 36 (7) (2024)
Akrem Sellami, Mohamed Farah, Mauro Dalla Mura
SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification. Pattern Recognit. Lett. 165 (2023)
Maroua Mehri, Akrem Sellami, Salvatore Tabbone
Historical Document Image Segmentation Combining Deep Learning and Gabor Features. ICDAR (4) (2023)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing. ICCCI (2023)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
Multi Spectral-Spatial Gabor Feature Fusion Based On End-To-End Deep Learning For Hyperspectral Image Classification. WHISPERS (2022)
Akrem Sellami, Salvatore Tabbone
Deep neural networks-based relevant latent representation learning for hyperspectral image classification. Pattern Recognit. 121 (2022)
Akrem Sellami, Bishnu Sarker, Salvatore Tabbone, Marie-Dominique Devignes, Sabeur Aridhi
A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation. IWBBIO (2) (2022)
Mariem Ayed, Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
A deep learning approach based on morphological profiles for Hyperspectral Image unmixing. ATSIP (2022)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah
Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism. VISIGRAPP (4: VISAPP) (2021)
Akrem Sellami, Salvatore Tabbone
EDNets: Deep Feature Learning for Document Image Classification Based on Multi-view Encoder-Decoder Neural Networks. ICDAR (4) (2021)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah
BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis. VISIGRAPP (Revised Selected Papers) (2021)
Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
Mapping individual differences in cortical architecture using multi-view representation learning. IJCNN (2020)
Akrem Sellami, Salvatore Tabbone
Video semantic segmentation using deep multi-view representation learning. ICPR (2020)
Akrem Sellami, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification. Pattern Recognit. Lett. 138 (2020)
Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
Mapping individual differences in cortical architecture using multi-view representation learning. CoRR (2020)
Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection. Expert Syst. Appl. 129 (2019)
Hakima Khelifi, Senlin Luo, Boubakr Nour, Akrem Sellami, Hassine Moungla, Syed Hassan Ahmed, Mohsen Guizani
Bringing Deep Learning at the Edge of Information-Centric Internet of Things. IEEE Commun. Lett. 23 (1) (2019)
Mohammed Laroui, Akrem Sellami, Boubakr Nour, Hassine Moungla, Hossam Afifi, Sofiane Boukli Hacene
Driving Path Stability in VANETs. CoRR (2019)
Hakima Khelifi, Senlin Luo, Boubakr Nour, Akrem Sellami, Hassine Moungla, Farid Naït-Abdesselam
An Optimized Proactive Caching Scheme Based on Mobility Prediction for Vehicular Networks. GLOBECOM (2018)
Mohammed Laroui, Akrem Sellami, Boubakr Nour, Hassine Moungla, Hossam Afifi, Sofiane Boukli Hacene
Driving Path Stability in VANETs. GLOBECOM (2018)
Rawaa Hamdi, Akrem Sellami, Imed Riadh Farah
An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification. ATSIP (2018)
Akrem Sellami, Mohamed Farah
Comparative study of dimensionality reduction methods for remote sensing images interpretation. ATSIP (2018)
Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman
Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (4) (2018)
Akrem Sellami, Karim Saheb Ettabaâ, Imed Riadh Farah, Basel Solaiman
Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods. IPAS (2014)

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Publication Activity (10 Years)

Top Topics

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Akrem Sellami