• [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] Zied Trifa et Maher Khemakhem. A Framework for Monitoring and Mitigating Malicious Attacks in Structured P2P Overlay Networks. 14th ACS/IEEE International Conference on Computer Systems and Applications, novembre, 2017
  • [Conférence intertnationale] Maryam Jallouli, Sonia Lajmi et Ikram Amous Ben Amor. Designing recommender system: conceptual framework and pratical implementation. International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES), septembre, 2017, Marseille, France

    A recommender system (RS) is a subclass of information systems. It aims at providing the most relevant items (music, film…) that are preferred to each user. Several recommendation algorithms have been proposed in the literature and a comparison across their experimental results is necessary to evaluate the best algorithm. This paper presents a framework for presenting, developing and evaluating a recommender system. We preserve that this approach could play a vital role in elaborating an architecture and implementation of this type of systems. The proposed model presents the process of preparing the data set, whether rating or social data. It also includes a suite of state-of-the-art algorithms. The specificity of our architecture is the possibility of developing four kinds of recommender systems that are baseline, social, contextual and socio-contextual recommender system.  

  • [Conférence intertnationale] Maryam Jallouli, Sonia Lajmi et Ikram Amous Ben Amor. Latent factor model applied to recommender system: A survey. 14th European Mediterranean & Middle Eastern Conference on Information Systems, septembre, 2017, Coimbra, Portugal

    Nowadays, internet has offer an overabundance of available information. In social networks, users confront gigantic number of items. To overcome this phenomenon, known as information overload, recommender systems are intended to filter information and help users to make their choice. Many models based collaborative filtering have been used in the literature to solve the problem of recommendation. Among these models, latent factor model has become the most popular due to his performed results of accuracy. This work is part of research into Recommender System domain and aims to present a detailed explication on works based latent factor model. We first describe a general view of this model. Its realization in field of recommendation is next presented. A detailed study on different steps is then exposed. The most important works that have been developed are then presented. To the author’s knowledge, there has been no work that tries to explain in detail how latent factor model is applied to Recommender Systems.

  • [Conférence intertnationale] Lotfi Chaari, Hadj Batatia et Jean-Yves Tourneret. A General Non-Smooth Hamiltonian Monte Carlo Scheme Using Bayesian Proximity Operator Calculation. European Signal Processing Conference (EUSIPCO), septembre, 2017, Kos, Grèce
  • [Conférence intertnationale] Fedia Hlioui, Nedia Aloui et Faiez Gargouri. Automatic deduction of learners’ profiling rules based on behavioral analysis. 9th International Conference on Computational Collective Intelligence (ICCCI), septembre, 2017, Chypre
  • [Conférence intertnationale] Rihab Ben Lamine, Raoudha Ben Djemaa et Ikram Amous Ben Amor. Graph Planning Based Composition For Adaptable Semantic Web Services. KES 2017, septembre, 2017, Marseille, France

    This paper proposes a context-aware semantic planning graph technique for Web services composition. We first use an ontology based context model for extending Web services descriptions with information about the most suitable context for its use. Then, we transform the composition problem into a semantic context aware graph planning problem to build a set of best composed Web services based on user’s context. The construction of the planning graph is based on semantic context-aware Web service discovery. This allow, for each step of the construction, to add most suitable Web services in terms of semantic compatibility between the services parameters, and their context similarity with the user’s context. In the backward search step, semantic and contextual similarity scores are used to find composed Web services list. Finally, in the ranking step, a score is calculated for each candidate solution and a set of ranked solutions is returned to the user.

  • [Conférence intertnationale] jihen karoui, Benamara Zitoune Farah, Cyril Grouin, Véronique Moriceau et Isabelle Robba. Analyse d’opinion et langage figuratif dans des tweets : présentation et résultats du Défi Fouille de Textes DEFT2017. DEFT : défi fouille de textes, 24e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), juin, 2017, Actes de conférences et de workshops, Orléans, France
  • [Conférence intertnationale] Mariem Mahfoudh , Bikash Gyawali, Anastasiya Shimorina, Claire Gardent et Samuel Cruz-Lara. Mapping Natural Language to Description Logic. Extended Semantic Web Conference, juin, 2017, pages 273-288, Slovénie
  • 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.