Communications publiées lors de congrès ou colloques nationaux et internationaux (67)
  1. 57. Bersini, H., & Bontempi, G. (1997). Now comes the time to defuzzify neuro-fuzzy models. In Intelligent components and instruments for control applications 1997 (SICICA '97): a proceedings volume from the 3rd IFAC Symposium (pp. 53-58) Oxford ; Tarrytown, N.Y., USA: Pergamon.
  2. 58. Bontempi, G., & Bersini, H. (1997). Identification of a sensor model with hybrid neuro-fuzzy methods. Proceedings of the 1997 International Conference on Engineering Applications of Neural Networks (EANN '97): Neural Networks in Engineering systems (pp. 325-328) International Conference on Engineering Applications of Neural Networks(Stockolm, Sweden).
  3. 59. Bontempi, G., & Birattari, M. (1997). Lazy learning indirect control for discrete time non-linear systems. Abstracts of Workshop on Multiple Model Approaches to Modelling and Control (pp. 72-80) (Trondheim, Norway).
  4. 60. Bersini, H., Birattari, M., & Bontempi, G. (1997). Combining Dynamic Programming and Neurocontrol: Some Basic Issues. Third European Workshop on Reinforcement Learning (October 13-14: Rennes, France)
  5. 61. Bontempi, G. (1996). Qua.Si. III: a software tool for simulation of fuzzy dynamical systems. In A. Javor, A. Lehmann, & I. Molnar (Eds.), Modelling and simulation 1996: ESM'96 (pp. 615-619) San Diego, Calif.: Society for Computer Simulation.
  6. 62. Gambardella, L. M., Bontempi, G., & Taillard, É. (1996). Simulation and Forecasting in an Intermodal Container Terminal. In Proceedings of the 8th European Simulation Symposium (pp. 626-630) SCS International.
  7. 63. Bersini, H., Bontempi, G., & Decaestecker, C. (1995). Towards Neuro-Fuzzy Defuzzification in Benelearn '95. In Proceedings of the 5th Belgian-Dutch Conference on Machine Learning (pp. 91-98) .
  8. 64. Bersini, H., Bontempi, G., & Decaestecker, C. (1995). Comparing RBF and Fuzzy Inference Systems on theoretical and practical basis. In Proc. ICANN'95 (Int. Conf. on Artificial Neural Networks) (pp. pp 169-174). (EC2 & Cie). F. Fogelman-Soulié and P. Gallinary (eds).
  9. 65. Bersini, H., Bontempi, G., & Decaestecker, C. (1995). Comparing RBF and fuzzy inference systems on theoretical and practical basis. In F. Fogelman-Soulié & P. Gallinari (Eds.), ICANN '95: conférence internationale sur les Réseaux de neurones artificiels: Vol. 1 (pp. 169-174) Paris: EC2 & Cie.
  10. 66. Bonarini, A., & Bontempi, G. (1994). Qua.Si.: a qualitative simulation approach for fuzzy models. In A. Guasch & R. M. Huber (Eds.), Modelling and simulation 1994: ESM'94 (pp. 420-424) San Diego, Calif.: Society for Computer Simulation.
  11. 67. Bonarini, A., & Bontempi, G. (1994). Qua.Si. I and Qua.SI. II: A Qualitative Simulation Approach for Fuzzy Models. Atti del gruppo di lavoro sul Ragionamento Qualitativo of IV Convegno dell'Associazione Italiana per l'Intelligenza Artificiale AI*IA (pp. 23-26) (Parma, Italy).
    12.   Rapports de recherche, comptes rendus, lettres à l'éditeur, working papers (23)
  12. 1. Leignel, C., Caelen, O., Debeir, O., Hanson, E., Leloup, T., Simler, C., Beumier, C. M., Bontempi, G., Warzée, N., & Wolff, E. (2010). Automatic Recognition for Map Update by Remote Sensing, final report.
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