texte alternatif                                    

    List of publications of Gianluca Bontempi


      Papers published in national and international conferences or symposium proceedings (67)

  1. 33. Bontempi, G., & Haibe-Kains, B. (2005). Feature selection methods for mining bioinformatics data. The interface between Data Mining and Operations Research ORBEL One-day Symposium (16 March 2005: Brussels, Belgium)
  2. 34. Bontempi, G., Le Borgne, Y.-A., & Moussaid, M. (2005). Adaptive data mining for sensor network data. Belgian Data Mining Day (27 March 2005: Antwerp, Belgium)
  3. 35. Beaugendre, F., Tshibasu Kabeya, B., Bontempi, G., & Marechal, G. (2005). AIDAR: Adressage et Indexation de documents multimédias assistés par des techniques de reconnaissance vocale. 11th ACF (Audiovisual Creative Fair) (16-19 November 2005: Brussels, Belgium)
  4. 36. Meyer, P. E., Caelen, O., & Bontempi, G. (2005). Speeding up Feature Selection by Using an Information Theoretic Bound. 17th Belgian-Dutch Conference on Artificial Intelligence (pp. 166-173) BNAIC 05(2005).
  5. 37. Bontempi, G., & Krujtzer, W. (2002). A Data Analysis Technique for Software Performance Prediction. Proceedings of Design, Automation and Test in Europe: DATE 2002 (pp. 971-976).
  6. 38. Bontempi, G., & Lafruit, G. (2002). Enabling multimedia QoS control with black-box modeling. Soft-Ware 2002: EUNITE Workshop Computational Intelligence in Telecommunications and Multimedia (pp. 46-59).
  7. 39. Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Lazy Learning vs. Fuzzy Systems: Two multiple-model approaches for adaptive control. International conference on artificial and computational intelligence for decision, control and automation in engineering and industrial applications (Monastir, Tunisia)
  8. 40. Bontempi, G., Bertolissi, E., & Birattari, M. (2000). Predicting stock markets in boundary conditions with local models. Proceedings of the IEEE/IAFE/INFORMS Conference on Computational Intelligence for Financial Engineering (pp. 158-161).
  9. 41. Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Data-Driven techniques for divide and conquer adaptive control. In V. Zakharov (Ed.), IFAC CAO 2000: Control Applications of Optimization (pp. 70-75) Elsevier Science.
  10. 42. Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Multiple models for adaptive control: the lazy and the fuzzy approach. In IFAC SYSID 2000 Pergamon Press.
  11. 43. Bontempi, G., & Birattari, M. (2000). A multi-step-ahead prediction method based on local dynamic properties. In Proceedings of ESANN 2000 (pp. 311-316) D-Facto publ.
  12. 44. Bontempi, G., Birattari, M., & Bersini, H. (1999). Local learning for iterated time-series prediction. In I. Bratko & S. Dzeroski (Eds.), Machine learning: proceedings of the Sixteenth International Conference (ICML'99) (pp. 32-38) San Francisco, CA: Morgan Kaufmann Publishers.

  13. << Previous 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Next >>