Publications

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Engineering Applications of Artificial Intelligence, 2024, 138, pp.109434. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.engappai.2024.109434\">⟨10.1016/j.engappai.2024.109434⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04742792v1\">⟨hal-04742792⟩</a>", "title_s":["Attention-driven multi-feature fusion for hyperspectral image classification via multi-criteria optimization and multi-view convolutional neural networks"], "authFullName_s":["Sofiene Abidi","Akrem Sellami"], "halId_s":"hal-04742792", "docType_s":"ART", "producedDateY_i":2024 },{ "citationRef_s":"Knowledge-Based Systems, 2024, 299, pp.112087. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.knosys.2024.112087\">⟨10.1016/j.knosys.2024.112087⟩</a>", "citationFull_s":"Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura. Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing. Knowledge-Based Systems, 2024, 299, pp.112087. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.knosys.2024.112087\">⟨10.1016/j.knosys.2024.112087⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04613297v1\">⟨hal-04613297⟩</a>", "title_s":["Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing"], "authFullName_s":["Refka Hanachi","Akrem Sellami","Imed Riadh Farah","Mauro Dalla Mura"], "halId_s":"hal-04613297", "docType_s":"ART", "producedDateY_i":2024 },{ "citationRef_s":"ICCCI 2023- 15th International Conference on Computational Collective Intelligence (ICCCI), Sep 2023, Budapest, Hungary. pp.84-96, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-41456-5_7\">⟨10.1007/978-3-031-41456-5_7⟩</a>", "citationFull_s":"Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura. DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing. ICCCI 2023- 15th International Conference on Computational Collective Intelligence (ICCCI), Sep 2023, Budapest, Hungary. pp.84-96, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-41456-5_7\">⟨10.1007/978-3-031-41456-5_7⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04219597v1\">⟨hal-04219597⟩</a>", "title_s":["DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing"], "authFullName_s":["Refka Hanachi","Akrem Sellami","Imed Riadh Farah","Mauro Dalla Mura"], "halId_s":"hal-04219597", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"ICDAR 2023 - 17th International Conference on Document Analysis and Recognition (ICDAR), Aug 2023, San José, California, United States. pp.395-410, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-41685-9_25\">⟨10.1007/978-3-031-41685-9_25⟩</a>", "citationFull_s":"Maroua Mehri, Akrem Sellami, Salvatore Tabbone. Historical Document Image Segmentation Combining Deep Learning and Gabor Features. ICDAR 2023 - 17th International Conference on Document Analysis and Recognition (ICDAR), Aug 2023, San José, California, United States. pp.395-410, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-41685-9_25\">⟨10.1007/978-3-031-41685-9_25⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04219697v1\">⟨hal-04219697⟩</a>", "title_s":["Historical Document Image Segmentation Combining Deep Learning and Gabor Features"], "authFullName_s":["Maroua Mehri","Akrem Sellami","Salvatore Tabbone"], "halId_s":"hal-04219697", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"Pattern Recognition Letters, 2023, 165 (January), pp.98-106. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.patrec.2022.12.004\">⟨10.1016/j.patrec.2022.12.004⟩</a>", "citationFull_s":"Akrem Sellami, Mohamed Farah, Mauro Dalla Mura. SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification. Pattern Recognition Letters, 2023, 165 (January), pp.98-106. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.patrec.2022.12.004\">⟨10.1016/j.patrec.2022.12.004⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03948238v1\">⟨hal-03948238⟩</a>", "title_s":["SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification"], "authFullName_s":["Akrem Sellami","Mohamed Farah","Mauro Dalla Mura"], "halId_s":"hal-03948238", "docType_s":"ART", "producedDateY_i":2023 },{ "citationRef_s":"9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), Jun 2022, Gran Canaria, Spain. pp.153-166, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-07802-6_14\">⟨10.1007/978-3-031-07802-6_14⟩</a>", "citationFull_s":"Akrem Sellami, Bishnu Sarker, Salvatore Tabbone, Marie-Dominique Devignes, Sabeur Aridhi. A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation. 9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), Jun 2022, Gran Canaria, Spain. pp.153-166, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-07802-6_14\">⟨10.1007/978-3-031-07802-6_14⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04036886v1\">⟨hal-04036886⟩</a>", "title_s":["A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation"], "authFullName_s":["Akrem Sellami","Bishnu Sarker","Salvatore Tabbone","Marie-Dominique Devignes","Sabeur Aridhi"], "halId_s":"hal-04036886", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"ICOTEN 2021 - International Congress of Advanced Technology and Engineering (ICOTEN), Jul 2021, Taiz, Yemen. pp.1-8, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ICOTEN52080.2021.9493562\">⟨10.1109/ICOTEN52080.2021.9493562⟩</a>", "citationFull_s":"Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura. Semi-supervised Classification of Hyperspectral Image through Deep Encoder-Decoder and Graph Neural Networks. ICOTEN 2021 - International Congress of Advanced Technology and Engineering (ICOTEN), Jul 2021, Taiz, Yemen. pp.1-8, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ICOTEN52080.2021.9493562\">⟨10.1109/ICOTEN52080.2021.9493562⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03546385v1\">⟨hal-03546385⟩</a>", "title_s":["Semi-supervised Classification of Hyperspectral Image through Deep Encoder-Decoder and Graph Neural Networks"], "authFullName_s":["Refka Hanachi","Akrem Sellami","Imed Riadh Farah","Mauro Dalla Mura"], "halId_s":"hal-03546385", "docType_s":"COMM", "producedDateY_i":2021 },{ "citationRef_s":"VISIGRAPP 2021: 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 2021, Vienna, Austria. pp.303-327, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-25477-2_14\">⟨10.1007/978-3-031-25477-2_14⟩</a>", "citationFull_s":"Refka Hanachi, Akrem Sellami, Imed Riadh Farah. BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis. VISIGRAPP 2021: 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 2021, Vienna, Austria. pp.303-327, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-25477-2_14\">⟨10.1007/978-3-031-25477-2_14⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04055621v1\">⟨hal-04055621⟩</a>", "title_s":["BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis"], "authFullName_s":["Refka Hanachi","Akrem Sellami","Imed Riadh Farah"], "halId_s":"hal-04055621", "docType_s":"COMM", "producedDateY_i":2021 },{ "citationRef_s":"Pattern Recognition Letters, 2020, <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.patrec.2020.08.020\">⟨10.1016/j.patrec.2020.08.020⟩</a>", "citationFull_s":"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 Recognition Letters, 2020, <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.patrec.2020.08.020\">⟨10.1016/j.patrec.2020.08.020⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02927062v1\">⟨hal-02927062⟩</a>", "title_s":["Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification"], "authFullName_s":["Akrem Sellami","Ali Ben Abbes","Vincent Barra","Imed Riadh Farah"], "halId_s":"hal-02927062", "docType_s":"ART", "producedDateY_i":2020 },{ "citationRef_s":"IJCNN 2020 - International Joint Conference on Neural Networks, Jul 2020, Glasgow, United Kingdom", "citationFull_s":"Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, et al.. Mapping individual differences in cortical architecture using multi-view representation learning. IJCNN 2020 - International Joint Conference on Neural Networks, Jul 2020, Glasgow, United Kingdom. <a target=\"_blank\" href=\"https://hal.science/hal-02520673v1\">⟨hal-02520673⟩</a>", "title_s":["Mapping individual differences in cortical architecture using multi-view representation learning"], "authFullName_s":["Akrem Sellami","François-Xavier Dupé","Bastien Cagna","Hachem Kadri","Stéphane Ayache","Thierry Artières","Sylvain Takerkart"], "halId_s":"hal-02520673", "docType_s":"COMM", "producedDateY_i":2020 },{ "citationRef_s":"Expert Systems with Applications, 2019, 129, pp.246-259. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.eswa.2019.04.006\">⟨10.1016/j.eswa.2019.04.006⟩</a>", "citationFull_s":"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 Systems with Applications, 2019, 129, pp.246-259. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.eswa.2019.04.006\">⟨10.1016/j.eswa.2019.04.006⟩</a>. <a target=\"_blank\" href=\"https://imt-atlantique.hal.science/hal-02110229v1\">⟨hal-02110229⟩</a>", "title_s":["Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection"], "authFullName_s":["Akrem Sellami","Mohamed Farah","Imed Riadh Farah","Basel Solaiman"], "halId_s":"hal-02110229", "docType_s":"ART", "producedDateY_i":2019 },{ "citationRef_s":"ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. pp.1 - 6, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ATSIP.2018.8364490\">⟨10.1109/ATSIP.2018.8364490⟩</a>", "citationFull_s":"Akrem Sellami, Mohamed Farah. Comparative study of dimensionality reduction methods for remote sensing images interpretation. ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. pp.1 - 6, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ATSIP.2018.8364490\">⟨10.1109/ATSIP.2018.8364490⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02128525v1\">⟨hal-02128525⟩</a>", "title_s":["Comparative study of dimensionality reduction methods for remote sensing images interpretation"], "authFullName_s":["Akrem Sellami","Mohamed Farah"], "halId_s":"hal-02128525", "docType_s":"COMM", "producedDateY_i":2018 },{ "citationRef_s":"ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. pp.1 - 6, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ATSIP.2018.8364504\">⟨10.1109/ATSIP.2018.8364504⟩</a>", "citationFull_s":"Rawaa Hamdi, Akrem Sellami, Imed Riadh Farah. An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification. ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing, Mar 2018, Sousse, Tunisia. pp.1 - 6, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/ATSIP.2018.8364504\">⟨10.1109/ATSIP.2018.8364504⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01882749v1\">⟨hal-01882749⟩</a>", "title_s":["An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification"], "authFullName_s":["Rawaa Hamdi","Akrem Sellami","Imed Riadh Farah"], "halId_s":"hal-01882749", "docType_s":"COMM", "producedDateY_i":2018 },{ "citationRef_s":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, pp.1 - 11. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/JSTARS.2018.2798661\">⟨10.1109/JSTARS.2018.2798661⟩</a>", "citationFull_s":"Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman. Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, pp.1 - 11. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/JSTARS.2018.2798661\">⟨10.1109/JSTARS.2018.2798661⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01810105v1\">⟨hal-01810105⟩</a>", "title_s":["Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques"], "authFullName_s":["Akrem Sellami","Mohamed Farah","Imed Riadh Farah","Basel Solaiman"], "halId_s":"hal-01810105", "docType_s":"ART", "producedDateY_i":2018 },{ "citationRef_s":"Vision par ordinateur et reconnaissance de formes [cs.CV]. Ecole nationale supérieure Mines-Télécom Atlantique, 2017. Français. <a target=\"_blank\" href=\"https://www.theses.fr/2017IMTA0037\">⟨NNT : 2017IMTA0037⟩</a>", "citationFull_s":"Akrem Sellami. Interprétation sémantique d'images hyperspectrales basée sur la réduction adaptative de dimensionnalité. Vision par ordinateur et reconnaissance de formes [cs.CV]. Ecole nationale supérieure Mines-Télécom Atlantique, 2017. Français. <a target=\"_blank\" href=\"https://www.theses.fr/2017IMTA0037\">⟨NNT : 2017IMTA0037⟩</a>. <a target=\"_blank\" href=\"https://theses.hal.science/tel-01810334v1\">⟨tel-01810334⟩</a>", "title_s":["Interprétation sémantique d'images hyperspectrales basée sur la réduction adaptative de dimensionnalité","Semantic interpretation of hyperspectral images based on the adaptative reduction of dimensionality"], "authFullName_s":["Akrem Sellami"], "halId_s":"tel-01810334", "docType_s":"THESE", "producedDateY_i":2017 },{ "citationRef_s":"Spatial Statistics, 2016, 16, pp.103 - 117. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.spasta.2016.02.003\">⟨10.1016/j.spasta.2016.02.003⟩</a>", "citationFull_s":"Akrem Sellami, Imed Riadh Farah. High-level hyperspectral image classification based on spectro-spatial dimensionality reduction. Spatial Statistics, 2016, 16, pp.103 - 117. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.spasta.2016.02.003\">⟨10.1016/j.spasta.2016.02.003⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01310891v1\">⟨hal-01310891⟩</a>", "title_s":["High-level hyperspectral image classification based on spectro-spatial dimensionality reduction"], "authFullName_s":["Akrem Sellami","Imed Riadh Farah"], "halId_s":"hal-01310891", "docType_s":"ART", "producedDateY_i":2016 },{ "citationRef_s":"TAIMA 2015 : Traitement et Analyse de l'Information : Méthodes et Applications, May 2015, Hammamet, Tunisia", "citationFull_s":"Akrem Sellami, Imed Riadh Farah. Classification of hyperspectral images based on progressive bands selection and eigenmaps techniques. TAIMA 2015 : Traitement et Analyse de l'Information : Méthodes et Applications, May 2015, Hammamet, Tunisia. <a target=\"_blank\" href=\"https://hal.science/hal-01207530v1\">⟨hal-01207530⟩</a>", "title_s":["Classification of hyperspectral images based on progressive bands selection and eigenmaps techniques"], "authFullName_s":["Akrem Sellami","Imed Riadh Farah"], "halId_s":"hal-01207530", "docType_s":"COMM", "producedDateY_i":2015 },{ "citationRef_s":"TAIMA 2015: Traitement et Analyse de l'Information: Méthodes et Applications, May 2015, Hammamet, Tunisia", "citationFull_s":"Akrem Sellami, Imed Riadh Farah. Statistical multi-criteria progressive bands selection system for endmembers extraction of hyperspectral image. TAIMA 2015: Traitement et Analyse de l'Information: Méthodes et Applications, May 2015, Hammamet, Tunisia. <a target=\"_blank\" href=\"https://hal.science/hal-01958378v1\">⟨hal-01958378⟩</a>", "title_s":["Statistical multi-criteria progressive bands selection system for endmembers extraction of hyperspectral image"], "authFullName_s":["Akrem Sellami","Imed Riadh Farah"], "halId_s":"hal-01958378", "docType_s":"COMM", "producedDateY_i":2015 },{ "citationRef_s":"IPAS 2014 : International Image Processing and Systems Conference, Nov 2014, Hammamet, Tunisia", "citationFull_s":"Akrem Sellami, Karim Saheb Ettabaa, Imed Riadh Farah, Basel Solaiman. Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods. IPAS 2014 : International Image Processing and Systems Conference, Nov 2014, Hammamet, Tunisia. <a target=\"_blank\" href=\"https://hal.science/hal-01212324v1\">⟨hal-01212324⟩</a>", "title_s":["Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods"], "authFullName_s":["Akrem Sellami","Karim Saheb Ettabaa","Imed Riadh Farah","Basel Solaiman"], "halId_s":"hal-01212324", "docType_s":"COMM", "producedDateY_i":2014 },{ "citationRef_s":"International Journal on Graphics, Vision and Image Processing, 2012, 12 (1), pp.49-55", "citationFull_s":"Houcine Essid, Imed Riadh Farah, Akrem Sellami, Vincent Barra. Monitoring intra-urban changes with Hidden Markov Models using the spatial relationships. International Journal on Graphics, Vision and Image Processing, 2012, 12 (1), pp.49-55. <a target=\"_blank\" href=\"https://hal.science/hal-00794297v1\">⟨hal-00794297⟩</a>", "title_s":["Monitoring intra-urban changes with Hidden Markov Models using the spatial relationships"], "authFullName_s":["Houcine Essid","Imed Riadh Farah","Akrem Sellami","Vincent Barra"], "halId_s":"hal-00794297", "docType_s":"ART", "producedDateY_i":2012 }] } }

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Akrem Sellami

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Compte-rendu et recension critique d'ouvrage