- A new paper has been ACCEPTED in the conference IWBBIO-2022 (International Work-Conference on Bioinformatics and Biomedical Engineering): Akrem Sellami, Sabeur Aridhi, Salvatore Tabbone, and Marie-Dominique Devignes: « A semi-supervised graph deep learning for automatic protein function annotation »
- A new paper has been submitted to the International Conference in Image Processing (ICIP) 2022: Akrem Sellami, and Salvatore Tabbone: « BTS-3DNet: Brain Tumor Segmentation of MRI images with multi-modal 3-D deep representation learning networks »
- A new paper has been submitted to the International Conference on Pattern Recognition (ICPR) 2022: Maroua Mehri, Akrem Sellami, and Salvatore Tabbone: « Combining Multi-channel Gabor Filters and 2D-Stacked Deep Neural Networks for Historical Document Image Segmentation »
- A new paper has been published in Pattern Recognition Journal : Akrem Sellami, and Salvatore Tabbone: « Deep neural networks-based relevant latent representation learning for hyperspectral image classification »[link][ IF: 7.740](Q1). [RANK A*]
- A new paper has been published at the VISAPP conference: Refka Hanachi, Akrem Sellami, and Imed Farah: « Interpretation of Human Behavior from Multi-modal Brain MRI Images based on GRaph Deep Neural Networks and Attention Mechanism » [link] [RANK B]
- A new paper has been accepted at the International Conference on Document Analysis and Recognition (ICDAR 2021) :Akrem Sellami, and Salvatore Tabbone: « EDNets: Deep Feature Learning for Document Image Classification based on Multi-view Encoder-Decoder Neural Networks »[link] [RANK A]
- A new paper has been submitted to the Pattern Recognition Letters Journal :Akrem Sellami, Mohamed Farah, and Dulla Mauro Mura: « HCNet: A semi-supervised hypergraph convolutional networks and feature selection for hyperspectral image classification »
- A new paper has been accepted at the IEEE International Conference on Pattern Recognition (ICPR 2020) :Akrem Sellami, and Salvatore Tabbone, « Video Semantic Segmentation Using Deep Multi-View Representation Learning »[link] [RANK A]
- A new paper has been published in Pattern Recognition Letters Journal : « Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification » (Apr 04, 2019) [link][ IF: 3.25 ](Q1)
- A new paper has been published at the IEEE International Joint Conference on Neural Networks (IJCNN 2020) :« Mapping individual differences in cortical architecture using multi-view representation learning »[link] [RANK A]
- New paper published in Expert Systems with Applications Journal: « Hyperspectral Imagery Classification based on Semi-Supervised 3-D Deep Neural Network and Adaptive Band Selection » (Apr 04, 2019) [link][ IF: 4.29 ](Q1)
- New paper published in IEEE JSTARS Journal: « Hyperspectral Imagery Semantic Interpretation based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques » (2018) [link][IF: 3.39 ](Q1)
