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    List of publications of Gianluca Bontempi


      Peer-reviewed journal articles (156)

  1. 57. Lima Mendez, G., Faust, K., Henry, N. L., Decelle, J., Colin, S., Carcillo, F., Chaffron, S., Ignacio-Espinosa, C. J., Roux, S., Vincent, F., Bittner, L., Darzi, Y., Wang, J., Audic, S., Berline, L., Bontempi, G., Cabello, A. A., Coppola, L., Cornejo-Castillo, F. F., d'Ovidio, F., De Meester, L., Ferrera, I., Garet-Delmas, M.-J., Guidi, L., Lara, E., Pesant, S., Royo-Llonch, M., Salazar, G., Sanchez, P., Sebastian, M., Souffreau, C., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Tara Oceans coordinators,, Gorsky, G., Not, F., Ogata, H., Speich, S., Stemmann, L., Weissenbach, J., Wincker, P., Acinas, S. S., Sunagawa, S., Bork, P., Sullivan, M. B., Karsenti, E., Bowler, C., de Vargas, C., & Raes, J. J. (2015). Ocean plankton. Determinants of community structure in the global plankton interactome. Science, 348(6237), 1262073. doi:10.1126/science.1262073
  2. 58. Cuellar, M. M., Ros, M., Bautista, M. J. M., Le Borgne, Y.-A., & Bontempi, G. (2015). An approach for the evaluation of human activities in physical therapy scenarios. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 141, 401-414. doi:10.1007/978-3-319-16292-8_29
  3. 59. Colaprico, A., Cava, C., Bertoli, G., Bontempi, G., & Castiglioni, I. (2015). Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer. BioMed Research International, 2015, 831314. doi:10.1155/2015/831314
  4. 60. Dal Pozzolo, A., Caelen, O., & Bontempi, G. (2015). When is undersampling effective in unbalanced classification tasks? Lecture notes in computer science, 9284, A13, 200-215. doi:10.1007/978-3-319-23528-8_13
  5. 61. Bontempi, G., & Flauder, M. (2015). From dependency to causality: a machine learning approach. Journal of machine learning research.
  6. 62. Lerman, L., Poussier, R., Bontempi, G., Markowitch, O., & Standaert, F.-X. (2015). Template attacks vs. Machine learning revisited (and the curse of dimensionality in side-channel analysis). Lecture notes in computer science, 9064, 20-33. doi:10.1007/978-3-319-21476-4_2
  7. 63. Dedeurwaerder, S., Defrance, M., Bizet, M., Calonne, E., Bontempi, G., & Fuks, F. (2014). A comprehensive overview of Infinium Human Methylation450 data processing. Briefings in bioinformatics, 15(6), bbt054, 929-941. doi:0.1093/bib/bbt054
  8. 64. Trepo, E., Nahon, P., Bontempi, G., Valenti, L., Falleti, E., Nischalke, H. D., Hamza, S., Corradini, S. G., Burza, M. A., Guyot, E., Donati, B., Spengler, U., Hillon, P., Toniutto, P., Henrion, J., Franchimont, D., Devière, J., Mathurin, P., Moreno, C., Romeo, S., & Deltenre, P. (2014). Association between the PNPLA3 (rs738409 C>G) variant and hepatocellular carcinoma: Evidence from a meta-analysis of individual participant data. Hepatology, 59(6), 2170-2177. doi:10.1002/hep.26767
  9. 65. Lerman, L., Fernandes Medeiros, S., Bontempi, G., & Markowitch, O. (2014). A Machine Learning Approach Against a Masked AES. Lecture notes in computer science, 8419, 61-75.
  10. 66. Olsen, C., Fleming, K., Prendergast, N., Rubio, R., Emmert-Streib, F., Bontempi, G., Haibe-Kains, B., & Quackenbush, J. (2014). Inference and validation of predictive gene networks from biomedical literature and gene expression data. Genomics, 103, 329-336. doi:10.1016/j.ygeno.2014.03.004
  11. 67. Olsen, C., Bontempi, G., Emmert-Streib, F., Quackenbush, J., & Haibe-Kains, B. (2014). Relevance of different prior knowledge sources for inferring gene interaction networks. Frontiers in Genetics, 5(177). doi:10.3389/fgene.2014.00177
  12. 68. Lopes, M., & Bontempi, G. (2014). On the null distribution of the precision and recall curve. Lecture notes in computer science, 8725 LNAI(PART 2), 322-337. doi:10.1007/978-3-662-44851-9_21

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