Profile Yousri Kessentini

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Yousri Kessentini

  • curriculum vitae
    • First Name
    Yousri
    Last Name
    Kessentini
    Address
    Technopole of Sfax, PO Box 275, Sakiet Ezzit, 3021 Sfax - Tunisia
    Zip code
    3038
    Biography
    Yousri KESSENTINI is Associate Professor at the Digital Research Center of Sfax (CRNS) and the head of the DeepVision research team. He received his Ph.D. degree in the field of pattern recognition from the University of Rouen, France in 2009. He was postdoctoral researcher at ITESOFT company and LITIS laboratory from 2011 to 2013. He is certified as an official instructor and ambassador from the NVIDIA Deep Learning Institute. His main research areas concern deep learning, document processing and recognition, data fusion, and computer vision. He has participated in several research projects and technology transfer projects. He has published more than 60 papers in international conferences and journals. He is also a reviewer for several international conferences and journals in the field of pattern recognition and computer vision.
    Scientific publications
    Title Cited by Year
    Dealing with precise and imprecise decisions with a Dempster-Shafer theory based algorithm in the context of handwritten word recognition
    T Burger, Y Kessentini, T Paquet
    2010 12th International Conference on Frontiers in Handwriting Recognition …, 2010

    		 3 2010
    A multi-lingual recognition system for Arabic and Latin handwriting
    Y KESSENTINI, T PAQUET, AM BEN HAMADOU
    Document Analysis and Recognition, 2009. ICDAR'09. 10th International …, 2009

    		 17 2009
    Modèles de Markov multi-flux pour la reconnaissance de l’écriture manuscrite multi-scripts
    Y Kessentini
    Université de Rouen, 2009

    		 10 2009
    Reconnaissance de l’écriture manuscrite arabe et latine par des modèles de Markov cachés multi-Flux
    Y Kessentini, T Paquet, AMB Hamadou
    TS. Traitement du signal 26 (5), 395-407, 2009

    		 1 2009
    Arabic and Latin Handwritting Recognition Using Multi-Stream Hidden Markov Models. Reconnaissance de L’Écriture Manuscrite Arabe et Latine par des Modèles de Markov Cachés …
    Y Kessentini, T Paquet, AMB Hamadou
    Traitement de Signal, 2009

    		 0 2009