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Journal Article
Jansen M. Information criteria for variable selection under sparsity. {B}iometrika. 2014:37-55.
Jansen M. Information criteria for variable selection under sparsity. {B}iometrika. 2013:–-.
Lenaerts T, Ferkinghoff-Borg J, Schymkowitz JWH, Rousseau F. Information theoretical quantification of cooperativity in signalling complexes. BMC Systems Biology [Internet]. 2009:9.
Meyer PE, Schretter C, Bontempi G. Information-Theoretic Feature Selection in Microarray Data using Variable Complementarity. IEEE Journal of Selected Topics in Signal Processing. 2008:261-274.
Compté N, Pepersack T, Bontempi G, Goriely S. Innate cytokines production in the geriatric population: Frailty is associated with low responsiveness to lipopolysaccharide. European Geriatric Medicine. 2012:S75.
Le Mercier M, Mathieu V, Haibe-Kains B, Bontempi G, Mijatovic T, Decaestecker C, Kiss R, Lefranc F. Knocking Down Galectin 1 in Human Hs683 Glioblastoma Cells Impairs Both Angiogenesis and Endoplasmic Reticulum Stress Responses. Journal of Neuropathology and Experimental Neurology. 2008:356-469.
Bontempi G, Birattari M, Bersini H. Lazy learning for modeling and control design. International Journal of Control. 1999:643-658.
Dal Pozzolo A, Caelen O, Borgne Y-AL, Waterschoot S, Bontempi G. Learned lessons in credit card fraud detection from a practitioner perspective. Expert Systems with Applications. 2014.
Segbroeck VS, Jong DS, Nowé A, Santos FC, Lenaerts T. Learning to coordinate in complex networks. Adaptive Behavoir [Internet]. 2010:416–427.
Guy Latouche, Mahmoodi S, Taylor PG. Level-phase independent stationary distributions for GI/M/1-type Markov chains with infinitely-many phases. Performance Evaluation. 2013:551–563.
Guy Latouche, Mahmoodi S, Taylor PG. Level-phase independent stationary distributions for GI/M/1-type Markov chains with infinitely-many phases. Submitted for publication. 2012.
Bontempi G, Bersini H, Birattari M. The local paradigm for modeling and control: From neuro-fuzzy to lazy learning. Fuzzy Sets and Systems. 2001:59-72.
Le Calvé B, Rynkowski M, Le Mercier M, Bruyère C, Lonez C, Gras T, Haibe-Kains B, Bontempi G, Decaestecker C, Ruysschaert JM, et al. Long term in vitro treatment of human glioblastoma cells with temozolomide increases resistance in vivo through up-regulation of GLUT transporter and aldo-keto reductase enzyme AKR1C expression. Neoplasia. 2010.
Lamoral-Theys D, Le Mercier M, Le Calvé B, Rynkowski MA, Bruyère C, Decaestecker C, Haibe-Kains B, Bontempi G, Dubois J, Lefranc F, et al. Long-term Temozolomide Treatment Induces Marked Amino Metabolism Modifications and an Increase in TMZ Sensitivity in Hs683 Oligodendroglioma Cells. Neoplasia. 2010.
Toussaint J, Durbecq V, Altintas S, Doriath V, Rouas G, Paesmans M, Bedard P, Haibe-Kains B, Tjalma WA, Larsimont D, et al. Low CD10 mRNA expression identifies high-risk ductal carcinoma in situ (DCIS). PLoS ONE. 2010.
Lerman L, Bontempi G, Markowitch O. A machine learning approach against a masked AES. Journal of Cryptographic Engineering. 2014:1-17.
Lerman L, Bontempi G, Markowitch O. A machine learning approach against a masked AES - Reaching the limit of side-channel attacks with a learning model. J. Cryptographic Engineering [Internet]. 2015:123–139.
Kontos K, Godard P, André B, van Helden J, Bontempi G. Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast \textitSaccharomyces cerevisiae. BMC Proceedings. 2008:S5.
Bonnechere B, Wermenbol V, Dan B, Salvia P, Borgne Y-AL, Bontempi G, Vansummeren S, Sholukha V, Moiseev F, Jansen B, et al. Management and interpretation of medical data related to cerebral pasly: the ICT4 Rehab project. European journal of paediatric neurology. 2013:32.
Hautphenne S, Guy Latouche. The Markovian binary tree applied to demography. J. Math. Biol. 2012:1109–1135.
Verstraeten N, Knapen W  J, Kint C  I, Liebens V  R, Van den Bergh B, Dewachter L, Fu Q, David C C, Fierro C, Marchal K, et al. Membrane depolarization-triggered responsive diversification to antibiotic tolerance. Molecular Cell [Internet]. 2015:To Appear.
Wirapati P, Sotiriou C, Kunkel S, Farmer P, Pradervand S, Haibe-Kains B, Desmedt C, Ignatiadis M, Sengstag T, Schutz F, et al. Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast Cancer Research [Internet]. 2008:R65.
Stamatopoulos B, Meuleman N, Haibe-Kains B, Saussoy P, Van Den Neste E, Michaux L, Heimann P, Martiat P, Bron D, Lagneaux L, et al. microRNA-29c and microRNA-223 down-regulation has in vivo significance in chronic lymphocytic leukemia and improves disease risk stratification. Blood. 2009:5237-5245.
Meyer PE, Lafitte F, Bontempi G. MINET: An open source R/Bioconductor Package for Mutual Information based Network Inference. BMC Bioinformatics. 2008.
Govorun M, Guy Latouche. Modeling the effect of health: Phase-type approach. Submitted for publication. 2012.

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