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Publications

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Conference Paper
Bontempi G, Meyer PE. A model-based relevance estimation approach for feature selection in microarray datasets. In: Proceedings of ICANN 2008. Vol. II. Proceedings of ICANN 2008. ; 2008. p. 21-31.
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.
Bontempi G. A Monte Carlo strategy for structured multiple-step-ahead time series prediction.
Kontos K, Bontempi G. Nested $q$-Partial Graphs for Genetic Network Inference from ``Small $n$, Large $p$'' Microarray Data. In: Elloumi M, Küng J, Linial M, Murphy R, Schneider K, Toma C Proceedings of the 2nd International Conference on Bioinformatics Research and Development (BIRD 2008). Proceedings of the 2nd International Conference on Bioinformatics Research and Development (BIRD 2008). ; 2008. p. 273-287.
Kontos K, Bontempi G. Nested $q$-Partial Graphs for Genetic Network Inference from ``Small $n$, Large $p$'' Microarray Data.
Jansen M. Noise reduction in an adaptive multiscale local polynomial decomposition.
Jansen M. Nonseparable Laplacian Pyramids with Multiscale Local Polynomials for Scattered Data. In: Mustra M, Tralić D, Grgić M, Zovko-Cihlar B Proceedings IWSSIP, 21st International Conference on Systems, Signals and Image Processing. Proceedings IWSSIP, 21st International Conference on Systems, Signals and Image Processing. ; 2014. p. 115-118.
Bontempi G. An optimal stopping strategy for online calibration in local search.
Loi S, Sotiriou C, Haibe-Kains B, Lallemand F, Conus N, Piccart MJ, Speed T, McArthur GA. Overcoming tamoxifen resistance in the luminal B subtype by targeting activated HER2 (ERBB2) signaling in the absence of HER2 overexpression: tailoring treatment in hormone responsive breast cancer.
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.
Loi S, Desmedt C, Haibe-Kains B, Lallemand F, Gillett C, Tutt A, Ryder K, Ellis P, Harris A, Smeds J, et al. Predicting relapse in estrogen receptor (ER) positive breast cancer (luminal) subgroups treated with adjuvant tamoxifen. In: Breast Cancer Research and Treatment. Vol. 94. Breast Cancer Research and Treatment. ; 2005. p. S129.
Cilia E, Teso S, Ammendola S, Lenaerts T, Andrea P. Predicting virus mutations through relational learning. In: Annotation, Interpretation and Management of Mutations (AIMM) Workshop@ECCB2012. Vol. 916. Annotation, Interpretation and Management of Mutations (AIMM) Workshop@ECCB2012. ; 2012. p. .
Loi S, Piccart M, Haibe-Kains B, Desmedt C, A.Harris, Bergh J, Ellis P, Miller L, Liu E, Sotiriou C, et al. Prediction of early distant relapses on tamoxifen in early- stage breast cancer (BC): a potential tool for adjuvant aromatase inhibitor (AI) tailoring.
Caelen O, Engelman E, Schmartz D, Bontempi G, Barvais L. Preliminary Results of Data Mining in BIS guided Propofol-Remifentanil TCI Anaesthesia(abstract).
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.
Caelen O, Cailloux O, Ghoundiwal D, Miranda AA, Barvais L, Bontempi G. Real-time prediction of an anesthetic monitor index using machine learning.
Ben Taieb S, Bontempi G. Recursive multi-step time series forecasting by perturbing data.
Bejjani G, Caelen O, Bontempi G, Perrin L, Barvais L. Retrospective comparison of manual versus semi-automated propofol-remifentanil TCI Anaesthesia (abstract).
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.
Kontos K, Bontempi G. Scale-free paradigm in yeast genetic regulatory network inferred from microarray data. In: Kovacs T, Marshall JAR Proceedings of AISB'06: Adaptation in Artificial and Biological Systems. Vol. 3. Proceedings of AISB'06: Adaptation in Artificial and Biological Systems. ; 2006. p. 139-144.
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.
S. {Van Sint Jan}, B. {De Bono}, V. Sholukha, F. Moiseev, S. Vansummeren, Y. Le Borgne, G. Bontempi, B. Bonnechère, M. Rooze. SeedEP2 : Integrated Modelling of the Musculoskeletal System.
Bontempi G, Caelen O. A Selecting-the-Best Method for Budgeted Model Selection.
Lerman L, Medeiros SF, Veshchikov N, Meuter C, Bontempi G, Markowitch O. Semi-Supervised Template Attack. In: Prouff E COSADE 2013. Vol. 7864. COSADE 2013. ; 2013. p. 184-199.

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