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    List of publications of Gianluca Bontempi


      Papers published in national and international conferences or symposium proceedings (67)
  1. 9. 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)
  2. 10. 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)
  3. 11. 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)
  4. 12. Lopes, M., Meyer, P. E., & Bontempi, G. (2012). Estimation of temporal lags for the inference of gene regulatory networks from time series (inproceedings) Author. In proceedings of BENELEARN'12
  5. 13. 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. 14. Markowitch, O., Lerman, L., & Bontempi, G. (2011). Side channel attack: an approach based on machine learning. In Proceedings of 2nd International Workshop on Constructive Side-Channel Analysis and Security Design (pp. 29-41) Schindler and Huss.
  7. 15. Ben Taieb, S., & Bontempi, G. (2011). Recursive multi-step time series forecasting by perturbing data. Proceedings of the 2011 IEEE International Conference on Data Mining International Conference on Data Mining(Vancouver)
  8. 16. Bontempi, G., & Meyer, P. E. (2010). Causal Filter Selection in Microarray Data. Proceedings of the twenty-seventh ICML’10, International Conference On Machine Learning
  9. 17. Iolis, B., & Bontempi, G. (2010). Comparison of Selection Strategies in Monte Carlo Tree Search for Computer Poker. Proceedings of the 19th Machine Learning conference of Belgium and The Netherlands Machine Learning conference of Belgium and The Netherlands(19: 2010)
  10. 18. 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.
  11. 19. Leignel, C., Caelen, O., Debeir, O., Hanson, E., Leloup, T., Simler, C., Beumier, C. M., Bontempi, G., Warzée, N., & Wolff, E. (2010). Detecting man-made structure changes to assist geographic data producers in planning their update strategy, ISPRS. Core Spatial Databases – Updating, Maintenance and Services – from Theory to Practise (15-17 March 2010: Haifa, Israel)
  12. 20. Kontos, K., & Bontempi, G. (2009). An Improved Shrinkage Estimator to Infer Regulatory Networks with Gaussian Graphical Models. In Proceeding of the 24th Annual ACM Symposium on Applied Computing: ACM SAC'09 (pp. 793-798) ACM New York, NY, USA.
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