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    List of publications of Gianluca Bontempi


      Papers published in national and international conferences or symposium proceedings (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.   Research reports, book reviews, letters to the editor, working papers (23)

  13. 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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