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

    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.

  • [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
  • [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
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  • [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] Ahlem Kalaï, Corinne Amel Zayani, Ikram Amous Ben Amor, Abdelghani Wafa et Florence Sèdes. Social collaborative service recommendation approach based on user’s trust and domain-specific expertise. , mars , 2018, Future Generation Computer Systems (FGCS), 80: 355-367, 2018
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    Abstract

    A few years ago, the Internet of (Web) Service vision came to offer services to all aspects of life and business. The increasing number of Web services make service recommendation a directive research to help users discover services. Furthermore, the rapid development of social network has accelerated the development of social recommendation approach to avoid the data sparsity and cold-start problems that are not treated very well in the collaborative filtering approach. On the one hand, the pervasive use of the social media provides a big social information about the users (e.g., personnel data, social activities, relationships). Hence, the use of trust relation becomes a necessity to filter and select only the useful information. Several trust-aware service recommender systems have been proposed in literature but they do not consider the time in trust level detection among users. On the other hand, in the reality, the majority of users prefer the advice not only of their trusted friends but also their expertise in some domain-specific. In fact, the taking into account of user’s expertise in recommendation step can resolve the user’s disorientation problem. For these reasons, we present, in this paper, a Web service decentralized discovery approach which is based on two complementary mechanisms. The trust detection is the first mechanism to detect the social trust level among users. This level is defined in terms of the users’ interactions for a period of time and their interest similarity which are inferred from their social profiles. The service recommendation is the second mechanism which combines the social and collaborative approaches to recommend to the active user the appropriate services according to the expertise level of his most trustworthy friends. This level is extracted from the friends’ past invocation histories according to the domain-specific which is known in advance in the target user’s query. Performance evaluation shows that each proposed mechanism achieves good results. The proposed Level of social Trust (LoT) metric gives better precision more than 50% by comparing with the same metric without taking into account the time factor. The proposed service recommendation mechanism which based on the trust and the domain-specific expertise gives, firstly, a RMSE value lower than other trust-aware recommender systems like TidalTrust, MoleTrust and TrustWalker. Secondly, it provides a better response rate than the recommendation mechanism which based only on trust with a difference equal to 4%.

  • [Conférence intertnationale] Zied Trifa, Maher Khemakhem et Jalel Eddine Hajlaoui. Pollution Attacks indentification in Structured P2P Overlay Networks. The 19th International Conference on Information and Communications Security (ICICS 2017), decembre, 2017, Chine
  • [Conférence intertnationale] jihen karoui, Benamara Zitoune Farah et Véronique Moriceau. SOUKHRIA : Towards an Irony Detection System for Arabic in Social Media. 3rd International Conference on Arabic Computational Linguistics (ACLing), novembre, 2017, Dubai, Emirats arabes unis
  • [Conférence intertnationale] Mohamed Frikha , Mohamed Mhiri et Faiez Gargouri. Ontology-based Social Interaction Between Trusted Friends to Personalize Recommendation of Medical Tourism Activities. 14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), novembre, 2017
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  • 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.