Akrem Sellami
Maître de conférences des universités
CNU : SECTION 27 - Informatique
Laboratoire / équipe
Publications
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"citationRef_s":"<i>Engineering Applications of Artificial Intelligence</i>, 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>",
"citationFull_s":"Sofiene Abidi, Akrem Sellami. Attention-driven multi-feature fusion for hyperspectral image classification via multi-criteria optimization and multi-view convolutional neural networks. <i>Engineering Applications of Artificial Intelligence</i>, 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"],
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"citationRef_s":"<i>Knowledge-Based Systems</i>, 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. <i>Knowledge-Based Systems</i>, 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"],
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"citationRef_s":"<i>ICCCI 2023- 15th International Conference on Computational Collective Intelligence (ICCCI)</i>, 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. <i>ICCCI 2023- 15th International Conference on Computational Collective Intelligence (ICCCI)</i>, 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",
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"producedDateY_i":2023
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"citationRef_s":"<i>ICDAR 2023 - 17th International Conference on Document Analysis and Recognition (ICDAR)</i>, 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. <i>ICDAR 2023 - 17th International Conference on Document Analysis and Recognition (ICDAR)</i>, 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",
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"producedDateY_i":2023
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"citationRef_s":"<i>Pattern Recognition Letters</i>, 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. <i>Pattern Recognition Letters</i>, 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"],
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"citationRef_s":"<i>9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO)</i>, 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. <i>9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO)</i>, 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",
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"producedDateY_i":2022
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"citationRef_s":"<i>ICOTEN 2021 - International Congress of Advanced Technology and Engineering (ICOTEN)</i>, 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. <i>ICOTEN 2021 - International Congress of Advanced Technology and Engineering (ICOTEN)</i>, 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",
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"producedDateY_i":2021
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"citationRef_s":"<i>VISIGRAPP 2021: 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications</i>, 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. <i>VISIGRAPP 2021: 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications</i>, 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",
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"producedDateY_i":2021
},{
"citationRef_s":"<i>Pattern Recognition Letters</i>, 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. <i>Pattern Recognition Letters</i>, 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":"<i>IJCNN 2020 - International Joint Conference on Neural Networks</i>, 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. <i>IJCNN 2020 - International Joint Conference on Neural Networks</i>, 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",
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"producedDateY_i":2020
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"citationRef_s":"<i>Expert Systems with Applications</i>, 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. <i>Expert Systems with Applications</i>, 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",
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"producedDateY_i":2019
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"citationRef_s":"<i>ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing</i>, 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. <i>ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing</i>, 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":"<i>ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing</i>, 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. <i>ATSIP 2018 : 4th International Conference on Advanced Technologies for Signal and Image Processing</i>, 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
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"citationRef_s":"<i>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</i>, 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. <i>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</i>, 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",
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"producedDateY_i":2018
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"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":"<i>Spatial Statistics</i>, 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. <i>Spatial Statistics</i>, 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":"<i>TAIMA 2015 : Traitement et Analyse de l'Information : Méthodes et Applications</i>, May 2015, Hammamet, Tunisia",
"citationFull_s":"Akrem Sellami, Imed Riadh Farah. Classification of hyperspectral images based on progressive bands selection and eigenmaps techniques. <i>TAIMA 2015 : Traitement et Analyse de l'Information : Méthodes et Applications</i>, 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",
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"producedDateY_i":2015
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"citationRef_s":"<i>TAIMA 2015: Traitement et Analyse de l'Information: Méthodes et Applications</i>, May 2015, Hammamet, Tunisia",
"citationFull_s":"Akrem Sellami, Imed Riadh Farah. Statistical multi-criteria progressive bands selection system for endmembers extraction of hyperspectral image. <i>TAIMA 2015: Traitement et Analyse de l'Information: Méthodes et Applications</i>, 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",
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"producedDateY_i":2015
},{
"citationRef_s":"<i>IPAS 2014 : International Image Processing and Systems Conference</i>, 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. <i>IPAS 2014 : International Image Processing and Systems Conference</i>, 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":"<i>International Journal on Graphics, Vision and Image Processing</i>, 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. <i>International Journal on Graphics, Vision and Image Processing</i>, 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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}