Local learning techniques for modeling, prediction and control

by Bontempi, Gianluca
Published 2000

<it>minet</it>: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information

by Bontempi Gianluca, Lafitte Frédéric, Meyer Patrick E
Published 2008-10-01

Multiple-input multiple-output causal strategies for gene selection

by Bontempi Gianluca, Haibe-Kains Benjamin, Desmedt Christine, Sotiriou Christos, Quackenbush John
Published 2011-11-01

Comparison of prognostic gene expression signatures for breast cancer

by van't Veer Laura, Cardoso Fatima, Buyse Marc, Piette Fanny, Desmedt Christine, Haibe-Kains Benjamin, Piccart Martine, Bontempi Gianluca, Sotiriou Christos
Published 2008-08-01

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen

by Daidone Maria G, Reid James F, Ellis Paul, Ryder Kenneth, Gillet Cheryl, Tutt Andrew M, Lallemand Françoise, Wirapati Pratyaksha, Desmedt Christine, Haibe-Kains Benjamin, Loi Sherene, Pierotti Marco A, Berns Els MJJ, Jansen Maurice PHM, Foekens John A, Delorenzi Mauro, Bontempi Gianluca, Piccart Martine J, Sotiriou Christos
Published 2008-05-01

Semantic Analysis in Web Usage Mining

by Norguet, Jean-Pierre E
Published 2006

Learning in wireless sensor networks for energy-efficient environmental monitoring/Apprentissage dans les réseaux de capteurs pour une surveillance environnementale moins coûteuse...

by Le Borgne, Yann-Aël
Published 2009

Algorithms for the analysis of gene expression data

by Venet, David
Published 2004

Information-theoretic variable selection and network inference from microarray data

by Meyer, Patrick E.
Published 2008

Bioinformatic inference of a prognostic epigenetic signature of immunity in breast cancers

by Bizet, Martin
Published 2018

Causal inference and prior integration in bioinformatics using information theory

by Olsen, Catharina
Published 2013

Inference of gene networks from time series expression data and application to type 1 Diabetes

by Lopes, Miguel
Published 2015

Adaptive Machine Learning for Credit Card Fraud Detection

by Dal Pozzolo, Andrea
Published 2015

Spectral factor model for time series learning

by Alexander Miranda, Abhilash
Published 2011

Gaussian graphical model selection for gene regulatory network reverse engineering and function prediction

by Kontos, Kevin
Published 2009

Learning in wireless sensor networks for energy-efficient environmental monitoring

by Le Borgne, Yann-Aël
Published 2009

Identification and assessment of gene signatures in human breast cancer

by Haibe-Kains, Benjamin
Published 2009

Sélection séquentielle en environnement aléatoire appliquée à l'apprentissage supervisé

by Caelen, Olivier
Published 2009

Machine learning strategies for multi-step-ahead time series forecasting

by Ben Taieb, Souhaib
Published 2014

A machine learning approach for automatic and generic side-channel attacks

by Lerman, Liran
Published 2015