Carlos Eduardo Thomaz
Carlos Eduardo Thomaz
Professor of Statistical Pattern Recognition, FEI
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TítuloCitado porAño
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
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 (2), 7-18, 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
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
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
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
Using variance information in magnetoencephalography measures of functional connectivity
EL Hall, MW Woolrich, CE Thomaz, PG Morris, MJ Brookes
Neuroimage 67, 203-212, 2013
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
Using a maximum uncertainty LDA-based approach to classify and analyse MR brain images
CE Thomaz, JP Boardman, DLG Hill, JV Hajnal, DD Edwards, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2004
Design of radial basis function network as classifier in face recognition using eigenfaces
CE Thomaz, RQ Feitosa, A Veiga
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on, 118-123, 1998
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
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 (2-3), 95-106, 2007
Mobile robot path planning using genetic algorithms
CE Thomaz, MAC Pacheco, MMBR Vellasco
International Work-Conference on Artificial Neural Networks, 671-679, 1999
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), 106, 2008
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
Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions: Trends and Future Directions
SM Hazarika
Igi Global, 2012
FEI face database
CE Thomaz
FEI Face DatabaseAvailable, 2012
Maximum entropy covariance estimate for statistical pattern recognition
CE Thomaz
Imperial College London (University of London), 2004
A statistical discriminant model for face interpretation and reconstruction
EC Kitani, CE Thomaz, DF Gillies
Computer Graphics and Image Processing, 2006. SIBGRAPI'06. 19th Brazilian …, 2006
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
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