Akrem Sellami - RankMe

31 papers B 5C 2Misc 5Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	A Survey on Graph Deep Representation Learning for Facial Expression Recognition. CBMI Théo Gueuret, Akrem Sellami, Chaabane Djeraba
2024	J	`jnl`	A survey on Graph Deep Representation Learning for Facial Expression Recognition. CoRR Théo Gueuret, Akrem Sellami, Chaabane Djeraba
2024	Misc	`conf`	Advanced graph deep learning for High-dimensional image analysis: challenges and opportunities. ATSIP Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
2024	J	`jnl`	Attention-driven multi-feature fusion for hyperspectral image classification via multi-criteria optimization and multi-view convolutional neural networks. Eng. Appl. Artif. Intell. Sofiene Abidi, Akrem Sellami
2024	Misc	`conf`	Geometric Deep Learning Techniques for Analyzing Brain 3D Meshes. ATSIP Mariem Ayad, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
2024	J	`jnl`	Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing. Knowl. Based Syst. Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
2024	J	`jnl`	Multi-view graph representation learning for hyperspectral image classification with spectral-spatial graph neural networks. Neural Comput. Appl. Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
2023	B	`conf`	DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing. ICCCI Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
2023	—	`conf`	Historical Document Image Segmentation Combining Deep Learning and Gabor Features. ICDAR (4) Maroua Mehri, Akrem Sellami, Salvatore Tabbone
2023	J	`jnl`	SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification. Pattern Recognit. Lett. Akrem Sellami, Mohamed Farah, Mauro Dalla Mura
2022	—	`conf`	A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation. IWBBIO (2) Akrem Sellami, Bishnu Sarker, Salvatore Tabbone, Marie-Dominique Devignes, Sabeur Aridhi
2022	Misc	`conf`	A deep learning approach based on morphological profiles for Hyperspectral Image unmixing. ATSIP Mariem Ayed, Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
2022	J	`jnl`	Deep neural networks-based relevant latent representation learning for hyperspectral image classification. Pattern Recognit. Akrem Sellami, Salvatore Tabbone
2022	—	`conf`	Multi Spectral-Spatial Gabor Feature Fusion Based On End-To-End Deep Learning For Hyperspectral Image Classification. WHISPERS Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
2021	—	`conf`	BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis. VISIGRAPP (Revised Selected Papers) Refka Hanachi, Akrem Sellami, Imed Riadh Farah
2021	—	`conf`	EDNets: Deep Feature Learning for Document Image Classification Based on Multi-view Encoder-Decoder Neural Networks. ICDAR (4) Akrem Sellami, Salvatore Tabbone
2021	—	`conf`	Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism. VISIGRAPP (4: VISAPP) Refka Hanachi, Akrem Sellami, Imed Riadh Farah
2020	J	`jnl`	Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification. Pattern Recognit. Lett. Akrem Sellami, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah
2020	B	`conf`	Mapping individual differences in cortical architecture using multi-view representation learning. IJCNN Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
2020	J	`jnl`	Mapping individual differences in cortical architecture using multi-view representation learning. CoRR Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart
2020	B	`conf`	Video semantic segmentation using deep multi-view representation learning. ICPR Akrem Sellami, Salvatore Tabbone
2019	J	`jnl`	Bringing Deep Learning at the Edge of Information-Centric Internet of Things. IEEE Commun. Lett. Hakima Khelifi, Senlin Luo, Boubakr Nour, Akrem Sellami, Hassine Moungla, Syed Hassan Ahmed, Mohsen Guizani
2019	J	`jnl`	Driving Path Stability in VANETs. CoRR Mohammed Laroui, Akrem Sellami, Boubakr Nour, Hassine Moungla, Hossam Afifi, Sofiane Boukli Hacene
2019	J	`jnl`	Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection. Expert Syst. Appl. Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman
2018	B	`conf`	An Optimized Proactive Caching Scheme Based on Mobility Prediction for Vehicular Networks. GLOBECOM Hakima Khelifi, Senlin Luo, Boubakr Nour, Akrem Sellami, Hassine Moungla, Farid Naït-Abdesselam
2018	Misc	`conf`	An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification. ATSIP Rawaa Hamdi, Akrem Sellami, Imed Riadh Farah
2018	Misc	`conf`	Comparative study of dimensionality reduction methods for remote sensing images interpretation. ATSIP Akrem Sellami, Mohamed Farah
2018	B	`conf`	Driving Path Stability in VANETs. GLOBECOM Mohammed Laroui, Akrem Sellami, Boubakr Nour, Hassine Moungla, Hossam Afifi, Sofiane Boukli Hacene
2018	J	`jnl`	Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman
2017	—	`—`	Interprétation sémantique d'images hyperspectrales basée sur la réduction adaptative de dimensionnalité. (Semantic interpretation of hyperspectral images based on the adaptative reduction of dimensionality). Akrem Sellami
2014	C	`conf`	Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods. IPAS Akrem Sellami, Karim Saheb Ettabaâ, Imed Riadh Farah, Basel Solaiman