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    List of publications of Gianluca Bontempi


      Peer-reviewed journal articles (156)
  1. 69. Dal Pozzolo, A., Le Borgne, Y.-A., Bontempi, G., Caelen, O., & Waterschoot, S. (2014). Learned lessons in credit card fraud detection from a practitioner perspective. Expert systems with applications, 41(10), 4915-4928. doi:10.1016/j.eswa.2014.02.026
  2. 70. Lopes, M., Kutlu, B., Miani, M., Bang-Berthelsen, C. H., Størling, J., Pociot, F., Goodman, N., Hood, L., Welsh, N., Bontempi, G., & Eizirik, D. L. (2014). Temporal profiling of cytokine-induced genes in pancreatic beta-cells by meta-analysis and network inference. Genomics. doi:10.1016/j.ygeno.2013.12.007
  3. 71. Lerman, L., Bontempi, G., & Markowitch, O. (2014). Power analysis attack: an approach based on machine learning. International Journal of Applied Cryptography, 3(2), 97-115. doi:10.1504/IJACT.2014.062722
  4. 72. Haibe-Kains, B., Desmedt, C., Di Leo, A., de Azambuja, E., Larsimont, D., 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, W. F., Pusztai, L., D'Hondt, V., Piccart-Gebhart, M., & Sotiriou, C. (2013). Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients. Genomics Data, 1, 7-10. doi:10.1016/j.gdata.2013.09.001
  5. 73. Bonnechere, B., Wermenbol, V., Dan, B., Salvia, P., Le Borgne, Y.-A., Bontempi, G., Vansummeren, S., Sholukha, V., Moiseev, F., Jansen, B., Rooze, M., & Van Sint Jan, S. (2013). Management and interpretation of medical data related to cerebral pasly: the ICT4 Rehab project. European journal of paediatric neurology, 17(1), 32.
  6. 74. Papillon-Cavanagh, S., De Jay, N., Hachem, N., Olsen, C., Bontempi, G., Aerts, H. J. W. L., Quackenbush, J., & Haibe-Kains, B. (2013). Comparison and validation of genomic predictors for anticancer drug sensitivity. Journal of the American Medical Informatics Association, 20(4), 597-602. doi:10.1136/amiajnl-2012-001442
  7. 75. Bontempi, G., Ben Taieb, S., & Le Borgne, Y.-A. (2013). Machine learning strategies for time series forecasting. Lecture Notes in Business Information Processing, 138 LNBIP, 62-77. doi:10.1007/978-3-642-36318-4_3
  8. 76. Lopes, M., & Bontempi, G. (2013). Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data. Frontiers in Genetics, 4(DEC), 00303. doi:10.3389/fgene.2013.00303
  9. 77. Dal Pozzolo, A., Caelen, O., Waterschoot, S., & Bontempi, G. (2013). Racing for unbalanced methods selection. Lecture notes in computer science, 8206 LNCS, 24-31. doi:10.1007/978-3-642-41278-3_4
  10. 78. 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.
  11. 79. De Jay, N., Papillon-Cavanagh, S., Olsen, C., El-Hachem, N., Bontempi, G., & Haibe-Kains, B. (2013). mRMRe: an R package for parallelized mRMR ensemble feature selection. Bioinformatics. doi:10.1093/bioinformatics/btt383
  12. 80. Lerman, L., Fernandes Medeiros, S., Veshchikov, N., Meuter, C., Bontempi, G., & Markowitch, O. (2013). Semi-Supervised Template Attack. Lecture Notes in Computer Science, 7864, 184-199. doi:10.1007/978-3-642-40026-1_12
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