Akrem Sellami
Publications
Communication dans un congrès avec actes
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Hanachi, Refka
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Sellami, Akrem
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Farah, Imed Riadh
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Mura, Mauro Dalla
DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing
ICCCI 2023- 15th International Conference on Computational Collective Intelligence (ICCCI), 2023, Budapest, , https://dx.doi.org/10.1007/978-3-031-41456-5_7
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Mehri, Maroua
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Sellami, Akrem
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Tabbone, Salvatore
Historical Document Image Segmentation Combining Deep Learning and Gabor Features
ICDAR 2023 - 17th International Conference on Document Analysis and Recognition (ICDAR), 2023, San José, California, , https://dx.doi.org/10.1007/978-3-031-41685-9_25
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Hanachi, Refka
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Sellami, Akrem
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Farah, Imed Riadh
BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis
16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021), 2023, Vienna, , https://dx.doi.org/10.1007/978-3-031-25477-2_14
Compte-rendu et recension critique d'ouvrage
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Hanachi, Refka
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Sellami, Akrem
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Farah, Imed
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Dalla Mura, Mauro
Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing
Elsevier, 2024, , https://dx.doi.org/10.1016/j.knosys.2024.112087
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Hanachi, Refka
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Sellami, Akrem
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Farah, Imed Riadh
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Dalla Mura, Mauro
Multi-view graph representation learning for hyperspectral image classification with spectral–spatial graph neural networks
Springer Verlag, 2024, , https://dx.doi.org/10.1007/s00521-023-09275-5
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Sellami, Akrem
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Farah, Mohamed
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Dalla Mura, Mauro
SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification
Elsevier, 2023, , https://dx.doi.org/10.1016/j.patrec.2022.12.004