Diego Vidaurre

发表

Hypothesis testing in the presence of noisy experimental replications

Mark W. Woolrich, Jonathan Smallwood, Thomas E. Nichols, 2018 .

Decoding Movement States in Stepping Cycles Based on Subthalamic LFPs in Parkinsonian Patients

Mark W. Woolrich, Diego Vidaurre, Peter Brown, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Dimensionality reduction for time series data

Diego Vidaurre, Mark Woolrich, Iead Rezek, 2014 .

L1-Regularization for Supervised Learning

Diego Vidaurre, D. Vidaurre, 2010 .

Bayesian Sparse Partial Least Squares

Concha Bielza, Pedro Larrañaga, Tom Heskes, 2013, Neural Computation.

On nonlinearity in neural encoding models applied to the primary visual cortex

Concha Bielza, Pedro Larrañaga, Diego Vidaurre, 2011, Network.

An L1-Regularized naïVE Bayes-Inspired Classifier for Discarding Redundant and Irrelevant Predictors

Concha Bielza, Pedro Larrañaga, Diego Vidaurre, 2013, Int. J. Artif. Intell. Tools.

A Quick Assessment of Topology Preservation for SOM Structures

Diego Vidaurre, Jorge Muruzábal, 2007, IEEE Transactions on Neural Networks.

Multi-level block permutation

Stephen M. Smith, Thomas E. Nichols, Diego Vidaurre, 2015, NeuroImage.

Sparse regularized local regression

Concha Bielza, Pedro Larrañaga, Diego Vidaurre, 2013, Comput. Stat. Data Anal..

SOMwise regression: a new clusterwise regression method

Diego Vidaurre, Julián Sánchez, Jorge Muruzábal, 2011, Neural Computing and Applications.

Classification of neural signals from sparse autoregressive features

Concha Bielza, Pedro Larrañaga, Diego Vidaurre, 2013, Neurocomputing.

Testing group differences in state transition structure of dynamic functional connectivity models

Morten Mørup, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment

Mark W. Woolrich, Diego Vidaurre, Fernando Maestú, 2014, NeuroImage.

Forward stagewise naïve Bayes

Concha Bielza, Pedro Larrañaga, Diego Vidaurre, 2011, Progress in Artificial Intelligence.

Lazy lasso for local regression

Concha Bielza, Pedro Larrañaga, Diego Vidaurre, 2012, Comput. Stat..

Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space

Concha Bielza, Pedro Larrañaga, Diego Vidaurre, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

Mark W. Woolrich, Diego Vidaurre, Andrew J. Quinn, 2018, Front. Neurosci..