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Emanuele Olivetti received his master's degree in physics and his Ph.D. in computer science from the University of Trento, Italy. He is a researcher at the Bruno Kessler Foundation (FBK) working on machine learning for neuroimaging experiments jointly with the local center for mind and brain sciences (CIMeC) within the University of Trento. His research interests include brain decoding, learning algorithms for diffusion MRI data, joint analysis of multiple neuroimaging data sources, active learning and Bayesian inference.
- "Bayesian hypothesis testing for pattern discrimination in brain decoding", http://dx.doi.org/10.1016/j.patcog.2011.04.025
- "PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data", http://dx.doi.org/10.3389%2Fneuro.11.003.2009
- "Active sampling for detecting irrelevant features", http://dx.doi.org/10.1145/1143844.1143965