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Conference Paper
Bontempi G, Le Borgne Y. An Adaptive Modular Approach to the Mining of Sensor Network Data.
Bontempi G, Le Borgne Y. An Adaptive Modular Approach to the Mining of Sensor Network Data.
Cuéllar MP, Le Borgne Y, Galiano-Castillo N, Arroyo M, Pegalajar MC, Martin-Bautista MJ, Bontempi G. An approach for automatic evaluation of diagnosis exercises inphysical therapy using depth sensors.
Le Borgne Y, Bontempi G, Bonnechère B, Salvia P, Degelaen M, Van Sint Jan S. Data mining toolbox for gait analysis in children with cerebral palsy.
Mihaylov M, Le Borgne Y, Nowé A, Tuyls K. Decentralized Reinforcement Learning for Wake-up Scheduling.
Le Borgne Y, Nowé A, Steenhaut K, Bontempi G. Demo Abstract: Demonstrating Principal Component Aggregation for Distributed Spatial Pattern Recognition. In: Abdelzaher T, Voigt T, Wolisz A Proceedings of the 9th IEEE/ACM Conference on Information Processing in Sensor Networks. Proceedings of the 9th IEEE/ACM Conference on Information Processing in Sensor Networks. ; 2010. p. 430-431.
Mihaylov M, Le Borgne Y, Tuyls K, Nowé A. Distributed Cooperation in Wireless Sensor Networks.
Le Borgne Y, Nowé A, Steenhaut K. Distributed regression for high-level feature extraction in wireless sensor networks. In: Altman E, Basar T, Chlamtac I Proceedings of the 7th IEEE Conference on Networked Sensing Systems. Proceedings of the 7th IEEE Conference on Networked Sensing Systems. ; 2010. p. 249 – 252.
Le Borgne Y, Bonnechère B, Salvia P, Van Sint Jan S, Bontempi G. Fouille de données pour l'analyse de la marche de patients atteints d'infirmité motrice cérébrale (ICT4Rehab).
Leon O, Cuéllar MP, Delgado M, Le Borgne Y, G. B. Human Activity Recognition Framework in monitored environments.
Abughalieh N, Le Borgne Y, Nowé A, Steenhaut K. Lifetime Optimization for Sensor Networks with Correlated Data Gathering. In: Altman E, Basar T, Chlamtac I Proceedings of the 7th IEEE Conference on Networked Sensing Systems. Proceedings of the 7th IEEE Conference on Networked Sensing Systems. ; 2010. p. 252 – 258.
Le Borgne Y, Van Der Haegen M, Bontempi G. Localization for Wireless Sensor Networks with CC2420 Radios. In: Proceedings of the 7th international conference on new technologies of distributed systems. Vol. 1. Proceedings of the 7th international conference on new technologies of distributed systems. ; 2007. p. 23-28.
Dricot JM, Van Der Haegen M, Le Borgne Y, Bontempi G. A Modular Framework for User Localization and Tracking Using Machine Learning Techniques in Wireless Sensor Networks.
Dricot JM, Van Der Haegen M, Le Borgne Y, Bontempi G. A Modular Framework for User Localization and Tracking Using Machine Learning Techniques in Wireless Sensor Networks.
Dricot JM, Van Der Haegen M, Le Borgne Y, Bontempi G. Performance Evaluation of Machine Learning Technique for the Localization of Users in Wireless Sensor Networks. In: Wehenkel L, Geurts P, Marée R Proceedings of the BENELEARN Machine Learning Conference. Proceedings of the BENELEARN Machine Learning Conference. ; 2008. p. 93-94.
Cuéllar MP, Le Borgne Y, Galiano-Castillo N, Arroyo M, Pegalajar MC, Martin-Bautista MJ, Bontempi G. PReSenS: Towards Smart Rehabilitation with Proactive Sensing for Remote and Automatic Medical Evaluation.
Le Borgne Y, Bontempi G. Round Robin Cycle for Predictions in Wireless Sensor Networks. In: Palaniswami M Proceedings of the 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). Proceedings of the 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). ; 2005. p. 253-258.
Van Sint Jan S, Bono DB, Sholukha V, Moiseev F, Vansummeren S, Le Borgne Y, Bontempi G, Bonnechère B, Rooze M. SeedEP2 : Integrated Modelling of the Musculoskeletal System.
Le Borgne Y, Moussaid M, Bontempi G. Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks.
Le Borgne Y, Bontempi G. Time series prediction for energy-efficient wireless sensors : Applications to environmental monitoring and video games.
Le Borgne Y, Bontempi G. Unsupervised and Supervised Compression with Principal Component Analysis in Wireless Sensor Networks.

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