Communications publiées lors de congrès ou colloques nationaux et internationaux (13)
  1. 3. Bonnechere, B., Wermenbol, V., Dan, B., Salvia, P., Le Borgne, Y.-A., Bontempi, G., Vansummeren, S., Sholukha, V., Moiseev, F., Jansen, B., Rooze, M., & Van Sint Jan, S. (2013). Management and interpretation of medical data related to Cerebral Palsy : the ICT4Rehab project. EPNS (2013: Brussels, Belgium)
  2. 4. Le Borgne, Y.-A., Bontempi, G., Bonnechere, B., Salvia, P., Degelaen, M., & Van Sint Jan, S. (2013). Data mining toolbox for gait analysis in children with cerebral palsy. ISB (2013: Natal, Brazil)
  3. 5. Van Sint Jan, S., Wermenbol, V., Dan, B., Salvia, P., Bonnechere, B., Le Borgne, Y.-A., Bontempi, G., Vansummeren, S., Sholukha, V., Moiseev, F., Jansen, B., & Rooze, M. (2013). Développement d'instruments partagés pour la gestion et l'interprétation de données relatives à la locomoation : le projet ICT4Rehab. SOFAMEA (2013: Luxembourg, Luxembourg)
  4. 6. Le Borgne, Y.-A., Bonnechere, B., Salvia, P., Van Sint Jan, S., & Bontempi, G. (2013). Fouille de donnée pour l'analyse de la marche de patients atteints d'infirmité motrice cérébrale (ICT4Rehab). SOFAMEA (2013: Luxembourg, Luxembourg)
  5. 7. Van Sint Jan, S., De Bono, B., Sholukha, V., Moiseev, F., Vansummeren, S., Le Borgne, Y.-A., Bontempi, G., Bonnechere, B., & Rooze, M. (2012). seedEP2 : Integrated modeling of the musculoskeletal system. VPH-NOE (2012: London, UK)
  6. 8. Le Borgne, Y.-A., Steenhaut, K., Nowe, A., & Bontempi, G. (2010). Demo Abstract: Demonstrating Principal Component Aggregation for Distributed Spatial Pattern Recognition. In IPSN '10 Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (pp. 430-431) ACM Press.
  7. 9. Dricot, J.-M., Van Der Haegen, M., Le Borgne, Y.-A., & Bontempi, G. (2008). A modular framework for user localization and tracking using machine learning techniques in wireless sensor networks. Proc. of the 7th IEEE Conference on Sensors, IEEE Sensors (26-29 October, 2008: Leece, Italy)
  8. 10. Dricot, J.-M., Van Der Haegen, M., Le Borgne, Y.-A., & Bontempi, G. (2008). Performance evaluation of machine learning techniques for the localization of users in wireless sensor networks. Proc. of the annual machine learning conference of Belgium and The Netherlands, Benelearn (19-20 May, 2008: Spa, Belgium)
  9. 11. Le Borgne, Y.-A., & Bontempi, G. (2005). Round robin cycle for predictions in wireless sensor networks. Proceedings of the 2nd IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 253-258) (5-8 December 2005).
  10. 12. Bontempi, G., & Le Borgne, Y.-A. (2005). An adaptive modular approach to the mining of sensor network data. Siam Data Mining 2005 workshop on "Data mining in sensor networks"
  11. 13. 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)
    12.   Participations à des congrès et colloques internationaux (4)
  12. 1. Reggiani, C., Le Borgne, Y.-A., Dal Pozzolo, A., Olsen, C., & Bontempi, G. (2014). Minimum Redundancy Maximum Relevance: MapReduce implementation using Apache Hadoop. Poster présenté à la conférence Benelearn 2014.
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