Articles dans des revues avec comité de lecture (157)
  1. 81. Lerman, L., Markowitch, O., Bontempi, G., & Ben Taieb, S. (2013). A time series approach for profiling attack. Lecture notes in computer science, 8204, 75-94. doi:10.1007/978-3-642-41224-0_7
  2. 82. Van Sint Jan, S., Wermenbol, V., Van Bogaert, P., Desloovere, K., Degelaen, M., Dan, B., Salvia, P., Bonnechere, B., Leborgne, Y.-A., Bontempi, G., Vansummeren, S., Sholukha, V., Moiseev, F., & Rooze, M. (2013). Recherche intégrée relative à l’appareil musculosquelettique : application à la prise en charge clinique de l’infirmité motrice cérébrale (IMC) – le projet ICT4Rehab. Médecine, 29(5), 529-536.
  3. 83. Haibe-Kains, B., Desmedt, C., Loi, S., Culhane, A. C., Bontempi, G., Quackenbush, J., & Sotiriou, C. (2012). A three-gene model to robustly identify breast cancer molecular subtypes. Journal of the National Cancer Institute, 104(4), 311-325. doi:10.1093/jnci/djr545
  4. 84. Vaccaro, A. A., Bontempi, G., Ben Taieb, S., & Villacci, D. D. (2012). Adaptive local learning techniques for multiple-step-ahead wind speed forecasting. Electric power systems research, 83(1), 129-135. doi:10.1016/j.epsr.2011.10.008
  5. 85. Ben Taieb, S., Bontempi, G., Atiya, A. F., & Sorjamaa, A. (2012). A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert systems with applications, 39(8), 7067-7083. doi:10.1016/j.eswa.2012.01.039
  6. 86. Le Borgne, Y.-A., & Bontempi, G. (2012). Time series prediction for energy-efficient wireless sensors: Applications to environmental monitoring and video games. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 102 LNICST, 63-72. doi:10.1007/978-3-642-32778-0_5
  7. 87. Haibe-Kains, B., Olsen, C., Djebbari, A., Bontempi, G., Correll, M., Bouton, C., & Quackenbush, J. (2012). Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks. Nucleic acids research, 40(Database issue), D866-D875. doi:10.1093/nar/gkr1050
  8. 88. Brohée, S., & Bontempi, G. (2012). D-peaks: a visual tool to display ChIP-seq peaks along the genome. Transcription, 3(5), 255-259. doi:10.4161/trns.22457
  9. 89. Desmedt, C., Di Leo, A., de Azambuja, E., Larsimont, D., Haibe-Kains, B., Selleslags, J., Delaloge, S., Duhem, C., Kains, J.-P., Carly, B., Maerevoet, M., Vindevoghel, A., Rouas, G., Lallemand, F., Durbecq, V., Cardoso, F., Salgado, R., Kraft Rovere, R., Bontempi, G., Michiels, S., Buyse, M., Nogaret, J.-M., Qi, Y., Symmans, F., Pusztai, L., D'Hondt, V., Piccart-Gebhart, M., & Sotiriou, C. (2011). Multifactorial approach to predicting resistance to anthracyclines. Journal of clinical oncology, 29(12), 1578-1586. doi:10.1200/JCO.2010.31.2231
  10. 90. Bontempi, G., & Ben Taieb, S. (2011). Conditionally dependent strategies for multiple-step-ahead prediction in local learning. International journal of forecasting, 27(3), 689-699. doi:10.1016/j.ijforecast.2010.09.004
  11. 91. Bontempi, G., Haibe-Kains, B., Desmedt, C., Sotiriou, C., & Quackenbush, J. (2011). Multiple-input multiple-output causal strategies for gene selection. BMC bioinformatics, 12, 458. doi:10.1186/1471-2105-12-458
  12. 92. Bontempi, G., & Caelen, O. (2011). A selecting-the-best method for budgeted model selection. Lecture notes in computer science, 6911 LNAI(PART 1), 249-262. doi:10.1007/978-3-642-23780-5_26
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