• [Journal] Lotfi Chaari. A Bayesian grouplet transform. , janvier, 2019, Signal, Image and Video Processing

    In the signal processing literature, wavelet transforms have been widely used for compression, restoration or texture processing. In this sense, grouplet transforms have been proposed to account for the geometrical image regularities. A grouplet transform (basis or frame) is based on an a priori fixed association field that groups image coefficients according to geometrical considerations. In this paper, we propose a method for estimating this association field in a Bayesian way. The resulting association field is therefore adaptive to the processed image content. A hierarchical Bayesian model is proposed and the inference is conducted using a Markov Chain Monte Carlo (MCMC) algorithm. The proposed method is tested on standard images in terms of association field quality and quantitative properties of the obtained wavelet coefficients. Specifically, the proposed method provides coefficients with low correlation level, and for which the highest level of energy is concentrated within the 20% most significant. These promising results confirm the potential of the proposed method for several image processing applications such as compression, denoising or restoration.

  • [Journal] Leila Ghorbel, Corinne Amel Zayani, Ikram Amous Ben Amor, Manel MEZGHANI, André Péninou et Florence Sèdes. Profile Reliability to Improve Recommendation in Social-Learning Context.. , novembre, 2018, Online Information Review, 2018.
  • [Conférence intertnationale] Rihab Ben Lamine, Raoudha Ben Djemaa et Ikram Amous Ben Amor. A Framework for the composition and formal verification of adaptable semantic Web services. International Conference on Advances in Mobile Computing and Multimedia, MoMM 2018, novembre, 2018, 19-21, Indonésie
  • [Conférence intertnationale] Lotfi Chaari, Itebeddine Ghorbel, Amel Benazza et Walma Gharbi. Bayesian compressed sensing for IoT: application to EEG recording. International Conference on Digital Health Technologies, octobre, 2018
  • [Conférence intertnationale] Lotfi Chaari, Bassem BOUAZIZ, Hadj Batatia et Antonio Quintero-Rincon. Convolutional Neural Network for Epileptic Seizure Detection Using EEG images. International Conference on Digital Health Technologies, octobre, 2018
  • [Journal] Rihab Ben Lamine, Raoudha Ben Djemaa et Ikram Amous Ben Amor. Formal Specification of Adaptable Semantic Web Services Composition. International Journal of Information Technology and Web Engineering, IJITWE, octobre, 2018, IJITWE 13(4): 14-34
  • [Conférence intertnationale] Lotfi Chaari, Hadj Batatia et Jean-Yves Tourneret. A Plug and Play Bayesian algorithm for solving myope inverse problems. European Signal Processing Conference (EUSIPCO), septembre, 2018
  • [Conférence intertnationale] Lotfi Chaari, Walma Gharbi et Amel Benazza. Bayesian Vehicle Detection Using Optical Remote Sensing Images. International Conference on Advanced Concepts for Intelligent Vision Systems, septembre, 2018, France
  • [Conférence intertnationale] Lotfi Chaari, Mohamed Fakhfakh et Nizar Fakhfakh. Robust Lane Extraction Using Two-Dimension Declivity. International Conference on Artificial Intelligence and Soft Computing, juin, 2018, Pologne
  • [Journal] Leila Ghorbel, Corinne Amel Zayani, Ikram Amous Ben Amor et Florence Sèdes. Semi-supervised Algorithm with Knowledge-based Features for Learner's Profiles Interoperability.. , avril, 2018, International Journal of Technology Enhanced Learning, Vol. 10, Nos. 1/2, pp.137-159
  • Date de création : 19 Décembre 2012
    MIRADOC 2011 : Journées doctorales du laboratoire Miracl. Décembre 2011. Touzeur , Tunisie
  • Date de création : 19 Décembre 2012
    MIRADOC’2010, Rencontre Doctorale de Miracl Date : 19-22 décembre 2010. Lieu: Douz , Tunisie
  • Date de création : 19 Décembre 2012
    Les 2éme Journées sur les Réseaux Bayésiens et leurs Applications Date et lieu : octobre 2011, Sfax, Tunisie. Abstract The Bayesian Networks are graphical models that are easy to interpret and update. These models are useful if the knowledge is uncertain, but they lack some means to express ambiguity. To face this problem, we propose Fuzzy Evidence in Bayesian Networks and combine the Fuzzy Logic and Bayesian Network. This has allowed to benefit from mutual advantages of these two approaches, and to overcome the problem of data and observation ambiguity. This paper proposes an inference algorithm which uses the Bayesian Network and Fuzzy Logic reliability. This solution has been implemented, tested and evaluated in comparison with the existing methods.
  • Faiez Gargouri, Wassim Jaziri  Ontology Theory, Management and Design: Advanced Tools and Models ». IGI Global. ISBN-978-1-61520-   859-3. Mars 2010. Description Ontologies and formal representations of knowledge are extremely powerful tools for modeling and managing large applications in several domains ranging from knowledge engineering, to data mining, to the semantic web. Ontology Theory, Management and Design: Advanced Tools and Models, explores the wide range of applications for ontologies, while providing a complete view of the both the theory behind the design and the problems posed by the practical development and use of ontologies. This reference presents an in-depth and forward looking analysis of current research, illustrating the importance of this field and pointing toward to the future of knowledge engineering, management and information technology.  
  • Titre : Finite State Language Engineering Autheurs : BEN HAMADOU A., MESFAR S., SILBERZTEIN M.  ISBN : 978-9973-37602-2 Livre, Edition CPU, Tunis, 2010
  • Titre :  Les Systèmes décisionnels : Théorie et pratique Autheurs : BEN-ABDALLAH H., BOULMARKOUL A., BOUSSAID O., FEKI J., GARGOURI F. ISBN : 789973990020. Nombre des pages: 130 pages Livre, Nouha Editions, 2010.