| 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 | 13 | 2021 |
| 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 | 7 | 2021 |
| 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 | 5 | 2022 |
| Multi Spectral-Spatial Gabor Feature Fusion Based On End-To-End Deep Learning For Hyperspectral Image Classification R Hanachi, A Sellami, IR Farah, M Dalla Mura 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2022 | 1 | 2022 |
| 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 | | 2024 |
| DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing R Hanachi, A Sellami, IR Farah, MD Mura International Conference on Computational Collective Intelligence, 84-96, 2023 | | 2023 |
| BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis R Hanachi, A Sellami, IR Farah Computer Vision, Imaging and Computer Graphics Theory and Applications, 303-327, 2023 | | 2023 |
