Search
Now showing items 1-9 of 9
A priori-driven multivariate statistical approach to reduce dimensionality of MEG signals
(2013)
A magnetoencephalography (MEG) multivariate data exploratory analysis is described and implemented that combines the variance criterion used in principal component analysis with some prior knowledge about the sensory ...
Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects
(2011)
Recent techniques of image analysis brought the possibility to recognize subjects based on discriminative image features. We performed a magnetic resonance imaging (MRI)-based classification study to assess its usefulness ...
A new ranking method for principal components analysis and its application to face image analysis
(2010)
In this work, we investigate a new ranking method for principal component analysis (PCA). Instead of sorting the principal components in decreasing order of the corresponding eigenvalues, we propose the idea of using the ...
Impact of designer knowledge in the interactive evolutionary optimisation of analogue CMOS ICs by using iMTGSPICE
(2019)
© The Institution of Engineering and Technology 2019.This Letter describes an innovative interactive evolutionary computational tool to optimise robust analogue complementary metal-oxide-semiconductor (CMOS) integrated ...
Comparing Ranking Methods for Tensor Components in Multilinear and Concurrent Subspace Analysis with Applications in Face Images
(2015)
© 2015 World Scientific Publishing Company.In the area of multi-dimensional image databases modeling, the multilinear principal component analysis (MPCA) and concurrent subspace analysis (CSA) approaches were independently ...
Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis
(2010)
The identification, modeling, and analysis of interactions between nodes of neural systems in the human brain have become the aim of interest of many studies in neuroscience. The complex neural network structure and its ...
Identification of psychopathic individuals using pattern classification of MRI images
(2011)
Background: Psychopathy is a disorder of personality characterized by severe impairments of social conduct, emotional experience, and interpersonal behavior. Psychopaths consistently violate social norms and bring considerable ...
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression
(2015)
© 2015 Published by Elsevier Ireland Ltd.Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major ...
Using variance information in magnetoencephalography measures of functional connectivity
(2013)
The use of magnetoencephalography (MEG) to assess long range functional connectivity across large scale distributed brain networks is gaining popularity. Recent work has shown that electrodynamic networks can be assessed ...