• Toutes nos félicitations à notre  collègue   Monsieur Yassine BEN AYED pour sa promotion  au grade de Professeur de l'enseignement supérieur 
  • LE CONSEIL SCIENTIFIQUE Du Laboratoire MIRACL S’EST RÉUNI Samedi, le 14 mai 2022.    
  • منشور السيد وزير التعليم العالي و البحث العلمي حول طلب ترشحات لتمويل مشاريع بحث في اطار " برنامج تشجيع الباحثين الشبان" بعنوان سنة 2022 -2023.
  • Toutes nos félicitations à notre chère collègue Mme Nadia BOUASSIDA pour sa promotion  au grade de Professeur de l'enseignement supérieur.
  • INVITATION À la soutenance d’habilitation universitaire de Maher Jaoua
  • [Journal] Abdelaziz TRIKI , Bassem BOUAZIZ et Walid MAHDI. A deep learning-based approach for detecting plant organs from digitized herbarium specimen images. , juillet, 2022, Ecological Informatics
    |
  • [Journal] Abdelaziz TRIKI , Bassem BOUAZIZ, Walid MAHDI, Hamdi Hamed et Jitendra Gaikwad. Deep learning based approach for digitized herbarium specimen segmentation. , mars , 2022, Multimedia Tools and Applications
    |
  • [Conférence intertnationale] Leïla Bayoudhi, Najla Jaziri et Wassim JAZIRI. How Latest Computer Science Research Copes with COVID-19?. 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021), decembre, 2021, Proceedings of the 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021), World Wide Web
    |
  • [Conférence intertnationale] Leïla Bayoudhi, Najla Jaziri et Wassim JAZIRI. An Overview of Biomedical Ontologies for Pandemics and Infectious Diseases Representation. the 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems(KES 2021), septembre, 2021, Proceedings of the 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021), Poland and online. Procedia Computer Science 192
    |
  • [Conférence intertnationale] Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. Handling Uncertain Time Intervals in OWL 2: Possibility Vs Probability Theories-based Approaches. 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), aout, 2021, Luxembourg
    |
    Abstract

    In this paper, we propose an approach to handling uncertain time intervals and related qualitative relations, based on possibility theory. Four contributions are included in this approach. (1) Representing uncertain time intervals and related qualitative relations by extending the 4D-fluents approach with new ontological components. (2) Reasoning about uncertain time intervals by extending the Allen’s interval algebra. The resulting interval relations preserve the good properties of the original algebra. (3) Proposing an OWL 2 possibilistic temporal ontology based on 4D-fluents approach extension and Allen’s interval algebra extension. The proposed qualitative temporal relations are inferred via a set of SWRL rules. We validate our work by implementing a prototype based on this ontology. (4) Applying our work to PersonLink ontology and comparing the obtained results with our previous works.

  • [Journal] Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. Certain and Uncertain Temporal Data Representation and Reasoning in OWL 2. , juillet, 2021, International Journal on Semantic Web and Information Systems (IJSWIS)
    |
    Abstract

    Temporal data given by Alzheimer's patients are mostly uncertain. Many approaches have been proposed to handle certain temporal data and lack uncertain ones. This paper proposes an approach to represent and reason about quantitative time intervals and points and qualitative relations between them. It is suitable to handle certain and uncertain temporal data. It includes three parts. (1) The authors extend the 4D-fluents approach with certain components to represent certain and uncertain temporal data. (2) They extend the Allen's interval algebra to reason about certain and uncertain time intervals. They adapt these relations to relate a time interval and a time point, and two time points. All relations can be used for temporal reasoning by means of transitivity tables. (3) They propose a certain ontology based on the extensions. A prototype is implemented and integrated into an ontology-based memory prosthesis for Alzheimer's patients to handle uncertain data inputs. The evaluation proves the usefulness of the approach as all the inferences are well established and the precision results are promising.

  • [Journal] Leïla Bayoudhi, Najla Jaziri et Wassim JAZIRI. Towards a Semantic Querying Approach for a Multi-Version OWL 2 DL Ontology. , juillet, 2021, The International Journal of Computer Information Systems and Industrial Management (IJCISIM)
    |
  • [Journal] Abdelaziz TRIKI , Bassem BOUAZIZ, Jitendra Gaikwad et Walid MAHDI. Deep eaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen images. , juillet, 2021, Pattern Recognition Letters
    |
  • [Conférence intertnationale] Abdelaziz TRIKI , Bassem BOUAZIZ, Jitendra Gaikwad et Walid MAHDI. PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images. Lecture Notes in Computer Science , juin, 2021
    |
  • [Journal] Belhassen Akrout et Walid MAHDI. A novel approach for driver fatigue detection based on visual characteristics analysis. , juin, 2021, Journal of Ambient Intelligence and Humanized Computing
    |
  • 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.