A new ranking method for principal components analysis and its application to face image analysis CE Thomaz, GA Giraldi Image and vision computing 28 (6), 902-913, 2010 | 645 | 2010 |
A maximum uncertainty LDA-based approach for limited sample size problems—with application to face recognition CE Thomaz, EC Kitani, DF Gillies Journal of the Brazilian Computer Society 12, 7-18, 2006 | 157 | 2006 |
A new covariance estimate for Bayesian classifiers in biometric recognition CE Thomaz, DF Gillies, RQ Feitosa IEEE Transactions on circuits and systems for video technology 14 (2), 214-223, 2004 | 111 | 2004 |
FEI face database CE Thomaz FEI Face DatabaseAvailable 11, 46-57, 2012 | 106 | 2012 |
Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis JR Sato, A Fujita, EF Cardoso, CE Thomaz, MJ Brammer, E Amaro Jr Neuroimage 52 (4), 1444-1455, 2010 | 83 | 2010 |
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression JR Sato, J Moll, S Green, JFW Deakin, CE Thomaz, R Zahn Psychiatry Research: Neuroimaging 233 (2), 289-291, 2015 | 74 | 2015 |
Using variance information in magnetoencephalography measures of functional connectivity EL Hall, MW Woolrich, CE Thomaz, PG Morris, MJ Brookes Neuroimage 67, 203-212, 2013 | 63 | 2013 |
Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects T Kasparek, CE Thomaz, JR Sato, D Schwarz, E Janousova, R Marecek, ... Psychiatry Research: Neuroimaging 191 (3), 174-181, 2011 | 63 | 2011 |
Identification of psychopathic individuals using pattern classification of MRI images JR Sato, R de Oliveira-Souza, CE Thomaz, R Basilio, IE Bramati, ... Social neuroscience 6 (5-6), 627-639, 2011 | 62 | 2011 |
Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction JR Sato, A Fujita, CE Thomaz, MGM Martin, J Mourão-Miranda, ... NeuroImage 46 (1), 105-114, 2009 | 60 | 2009 |
Mobile robot path planning using genetic algorithms CE Thomaz, MAC Pacheco, MMBR Vellasco Foundations and Tools for Neural Modeling: International Work-Conference on …, 1999 | 57 | 1999 |
A multivariate statistical analysis of the developing human brain in preterm infants CE Thomaz, JP Boardman, S Counsell, DLG Hill, JV Hajnal, AD Edwards, ... Image and Vision Computing 25 (6), 981-994, 2007 | 52 | 2007 |
Design of radial basis function network as classifier in face recognition using eigenfaces CE Thomaz, RQ Feitosa, Á Veiga Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No. 98EX209 …, 1998 | 45 | 1998 |
Using a maximum uncertainty LDA-based approach to classify and analyse MR brain images CE Thomaz, JP Boardman, DLG Hill, JV Hajnal, DD Edwards, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004: 7th …, 2004 | 44 | 2004 |
Hyperplane navigation: a method to set individual scores in fMRI group datasets JR Sato, CE Thomaz, EF Cardoso, A Fujita, MGM Martin, E Amaro Jr Neuroimage 42 (4), 1473-1480, 2008 | 40 | 2008 |
Multivariate statistical differences of MRI samples of the human brain CE Thomaz, FLS Duran, GF Busatto, DF Gillies, D Rueckert Journal of mathematical imaging and vision 29, 95-106, 2007 | 37 | 2007 |
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates A Fujita, LR Gomes, JR Sato, R Yamaguchi, CE Thomaz, MC Sogayar, ... BMC systems biology 2, 1-14, 2008 | 36 | 2008 |
Gaussian fitness functions for optimizing analog CMOS integrated circuits RA de Lima Moreto, CE Thomaz, SP Gimenez IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017 | 32 | 2017 |
Analise multilinear discriminante de formas frontais de imagens 2D de face EZ Tenorio, CE Thomaz Proceedings of the X simpósio brasileiro de automação inteligente SBAI, 266-271, 2011 | 26 | 2011 |
Normalização espacial de imagens frontais de face em ambientes controlados e não-controlados V do Amaral, C Fígaro-Garcia, GJF Gilka, CE Thomaz FaSCi-Tech 1 (1), 2010 | 24* | 2010 |