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Frontiers in Neuroscience
|
March 7, 2017
Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding
Luca Baldassarre, Massimiliano Pontil, Janaina Mourão-Miranda
Frontiers in Neuroscience
|
April 17, 2023
Spectral density-based clustering algorithms for complex networks
Taiane Coelho Ramos, Janaina Mourão-Miranda, André Fujita
Neuroimage
|
April 3, 2007
Dynamic discrimination analysis: a spatial-temporal SVM
Janaina Mourão-Miranda, Karl J Friston, Michael Brammer
Frontiers in Neuroscience
|
December 19, 2012
Measuring abnormal brains: building normative rules in neuroimaging using one-class support vector machines
João Ricardo Sato, Jane Maryam Rondina, Janaina Mourão-Miranda
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
May 24, 2018
Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning
Ronald J Janssen, Janaina Mourão-Miranda, Hugo G Schnack
Journal of Neuroscience Methods
|
December 23, 2015
Decoding intracranial EEG data with multiple kernel learning method
Jessica Schrouff, Janaina Mourão-Miranda, Christophe Phillips, et al.
Journal of Neuroscience Methods
|
June 30, 2016
A multiple hold-out framework for Sparse Partial Least Squares
João M Monteiro, Anil Rao, John Shawe-Taylor, et al.
The British Journal of Psychiatry : the Journal of Mental Science
|
December 7, 2019
Will artificial intelligence eventually replace psychiatrists?
Christian Brown, Giles William Story, Janaina Mourão-Miranda, et al.
Neuroimage
|
October 3, 2006
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data
Janaina Mourão-Miranda, Emanuelle Reynaud, Francis McGlone, et al.
Neuroimage
|
August 10, 2007
Unsupervised analysis of fMRI data using kernel canonical correlation
David R Hardoon, Janaina Mourão-Miranda, Michael Brammer, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 37) with videos related to
Sort By:
Page
of 4
Frontiers in Neuroscience
|
March 7, 2017
Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding
Luca Baldassarre, Massimiliano Pontil, Janaina Mourão-Miranda
Frontiers in Neuroscience
|
April 17, 2023
Spectral density-based clustering algorithms for complex networks
Taiane Coelho Ramos, Janaina Mourão-Miranda, André Fujita
Neuroimage
|
April 3, 2007
Dynamic discrimination analysis: a spatial-temporal SVM
Janaina Mourão-Miranda, Karl J Friston, Michael Brammer
Frontiers in Neuroscience
|
December 19, 2012
Measuring abnormal brains: building normative rules in neuroimaging using one-class support vector machines
João Ricardo Sato, Jane Maryam Rondina, Janaina Mourão-Miranda
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
May 24, 2018
Making Individual Prognoses in Psychiatry Using Neuroimaging and Machine Learning
Ronald J Janssen, Janaina Mourão-Miranda, Hugo G Schnack
Journal of Neuroscience Methods
|
December 23, 2015
Decoding intracranial EEG data with multiple kernel learning method
Jessica Schrouff, Janaina Mourão-Miranda, Christophe Phillips, et al.
Journal of Neuroscience Methods
|
June 30, 2016
A multiple hold-out framework for Sparse Partial Least Squares
João M Monteiro, Anil Rao, John Shawe-Taylor, et al.
The British Journal of Psychiatry : the Journal of Mental Science
|
December 7, 2019
Will artificial intelligence eventually replace psychiatrists?
Christian Brown, Giles William Story, Janaina Mourão-Miranda, et al.
Neuroimage
|
October 3, 2006
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data
Janaina Mourão-Miranda, Emanuelle Reynaud, Francis McGlone, et al.
Neuroimage
|
August 10, 2007
Unsupervised analysis of fMRI data using kernel canonical correlation
David R Hardoon, Janaina Mourão-Miranda, Michael Brammer, et al.
Page
of 4