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Publications

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Book Chapter
Meyer PE, Bontempi G. Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data.
Miranda AA, Caelen O, Bontempi G. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques.
Haibe-Kains B, Desmedt C, Loi S, Delorenzi M, Sotiriou C, Bontempi G. Computational Intelligence in Clinical Oncology : Lessons Learned from an Analysis of a Clinical Study. In: Applications of Computational Intelligence in Biology. Vol. 122. Applications of Computational Intelligence in Biology. ; 2008. p. 237-268.
Olsen C, Haibe-Kains B, Quackenbush J, Bontempi G. On the Integration of Prior Knowledge in the Inference of Regulatory Networks.
Bontempi G, Ben Taieb S, Le Borgne Y. Machine Learning Strategies for Time Series Forecasting.
Le Borgne Y, Bontempi G. Prediction-based data collection in wireless sensor networks.
Le Borgne Y, Dricot JM, Bontempi G. Principal Component Aggregation for Energy-efficient Information Extraction in Wireless Sensor Networks.
Le Borgne Y, Dricot JM, Bontempi G. Principal Component Aggregation for Energy-efficient Information Extraction in Wireless Sensor Networks.
Dricot JM, Bontempi G, Doncker PD. Static and dynamic localization techniques for wireless sensor networks. In: Ferrari G Sensor Networks: Where Theory Meets Practice. Sensor Networks: Where Theory Meets Practice. ; 2010. p. .
Bontempi G, Caelen O, Goffaux C. On the use of supervised learning techniques to speed up the design of aeronautics components.
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.
Tshibasu-Kabeya B, Bontempi G, Beaugendre F, Marechal G. AIDAR: Une architecture pour l'indexation de documents audionumériques.
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.
Bontempi G. Bandwidth selection for multiple-step-ahead time series prediction: beyond cross-validation.
Sotiriou C, Desmedt C, Haibe-Kains B, Harris A, Larsimont D, Buyse M, Wirapati P, Delorenzi M, Bontempi G, Piccart MJ, et al. Biological mechanisms that trigger breast cancer (BC) tumor progresion are molecular subtype dependent.
Haibe-Kains B, Sotiriou C, Bontempi G. Class Discovery and Class Prediction from Human Cancer Microarray Datasets.
Bontempi G, Birattari M, Meyer PE. Combining Lazy Learning, Racing and Subsampling for Effective Feature Selection.
Sotiriou C, Haibe-Kains B, Desmedt C, Wirapati P, Durbecq V, Harris A, Larsimont D, Bontempi G, Buyse M, Delorenzi M, et al. Comprehensive molecular analysis of several prognostic signatures using molecular indices related to hallmarks of breast cancer: proliferation index appears to be the most significant component of all signatures.
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.
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.
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).
Kontos K, André B, van Helden J, Bontempi G. Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in \textitS. cerevisiae. In: Pizzuti C, Ritchie MD, Giacobini M Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2009). Vol. 5483. Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2009). ; 2009. p. 13-24.
Sotiriou C, Wirapati P, Loi S, Haibe-Kains B, Piette F, Buyse M, Bontempi G, Delorenzi M, Piccart M. Is genomic grading killing histological grading ?. In: Journal of European Breast Cancer. Vol. 4. Journal of European Breast Cancer. ; 2006. p. 177.
Caelen O, Bontempi G. How to allocate a restricted budget of leave-one-out assessments for effective model selection in machine learning: a comparison of state-of-the-art techniques.

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