Carlos E. Thomaz
Orcid: 0000-0001-5566-1963
According to our database1,
Carlos E. Thomaz
authored at least 71 papers
between 1998 and 2024.
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Bibliography
2024
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks.
Artif. Intell. Medicine, January, 2024
2023
Fréchet AutoEncoder Distance: A new approach for evaluation of Generative Adversarial Networks.
Comput. Vis. Image Underst., October, 2023
Neonatal pain assessment: A Kendall analysis between clinical and visually perceived facial features.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
2022
Convolutional Neural Networks for Newborn Pain Assessment Using Face Images: A Quantitative and Qualitative Comparison.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022
2021
Performance analysis of chess players comparing traditional and novel cognitive perception ranking measures.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021
A Convolutional Neural Network-based Mobile Application to Bedside Neonatal Pain Assessment.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021
2020
Nested AdaBoost procedure for classification and multi-class nonlinear discriminant analysis.
Soft Comput., 2020
Support vector machine ensembles for discriminant analysis for ranking principal components.
Multim. Tools Appl., 2020
Neonatal Pain Scales and Human Visual Perception: An Exploratory Analysis Based on Facial Expression Recognition and Eye-Tracking.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
2019
A customized genetic algorithm with in-loop robustness analyses to boost the optimization process of analog CMOS ICs.
Microelectron. J., 2019
IET Image Process., 2019
Interactive evolutionary approach to reduce the optimization cycle time of a low noise amplifier.
Proceedings of the 32nd Symposium on Integrated Circuits and Systems Design, 2019
An innovative strategy to reduce die area of robust OTA by using iMTGSPICE and diamond layout style for MOSFETs.
Proceedings of the 32nd Symposium on Integrated Circuits and Systems Design, 2019
2018
Automatic Optimization of Robust Analog CMOS ICs: An Interactive Genetic Algorithm Driven by Human Knowledge.
Proceedings of the 31st Symposium on Integrated Circuits and Systems Design, 2018
Nonlinear Discriminant Principal Component Analysis for Image Classification and Reconstruction.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Clutch Judder Classification and Prediction: A Multivariate Statistical Analysis Based on Torque Signals.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017
Int. J. Pattern Recognit. Artif. Intell., 2017
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements.
CoRR, 2017
Chess Experience and EEG Brain Cortical Organisation: An Analysis Using Entropy, Multivariate Statistics and Loreta Sources.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017
Geometric Data Analysis Based on Manifold Learning with Applications for Image Understanding.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2017
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
2016
From architecture to manufacturing: an accurate framework for optimal operational transconductance amplifier design.
Int. J. High Perform. Syst. Archit., 2016
Tensor Fields for Multilinear Image Representation and Statistical Learning Models Applications.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2016
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016
Priori-driven dimensions of face-space: experiments incorporating eye-tracking information.
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016
2015
Composition of Local Normal Coordinates and Polyhedral Geometry in Riemannian Manifold Learning.
Int. J. Nat. Comput. Res., 2015
Comparing Ranking Methods for Tensor Components in Multilinear and Concurrent Subspace Analysis with Applications in Face Images.
Int. J. Image Graph., 2015
A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images.
Proceedings of the Sixth International Conference on Emerging Security Technologies, 2015
2014
Brain Mapping and Interpretation of Reading Processing in Children Using EEG and Multivariate Statistical Analysis.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014
2013
Using variance information in magnetoencephalography measures of functional connectivity.
NeuroImage, 2013
Low-cost Automatic Inpainting for Artifact Suppression in Facial Images.
Proceedings of the VISAPP 2013, 2013
Proceedings of the XXVI Conference on Graphics, Patterns and Images, 2013
2012
2011
Discriminant Component Analysis and Self-Organized Manifold Mapping for Exploring and Understanding Image Face Spaces.
Proceedings of the 24th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2011
2010
Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis.
NeuroImage, 2010
A new ranking method for principal components analysis and its application to face image analysis.
Image Vis. Comput., 2010
Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes.
Artif. Intell. Medicine, 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
2009
Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction.
NeuroImage, 2009
Corrigendum to "Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction": [NeuroImage 46 (2009) 105-114].
NeuroImage, 2009
A Kernel Maximum uncertainty Discriminant Analysis and its Application to Face Recognition.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009
Proceedings of the SIBGRAPI 2009, 2009
A Multivariate Statistical Analysis of Muscular Biopotential for Human Arm Movement Characterization.
Proceedings of the BIOSIGNALS 2009, 2009
2008
Dimensionality Reduction, Classification and Reconstruction Problems in Statistical Learning Approaches.
RITA, 2008
NeuroImage, 2008
J. Braz. Comput. Soc., 2008
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates.
BMC Syst. Biol., 2008
Proceedings of the Advances in Artificial Intelligence, 2008
Proceedings of the Logic and Probability for Scene Interpretation, 24.02. - 29.02.2008, 2008
2007
J. Math. Imaging Vis., 2007
A multivariate statistical analysis of the developing human brain in preterm infants.
Image Vis. Comput., 2007
2006
A maximum uncertainty LDA-based approach for limited sample size problems - with application to face recognition.
J. Braz. Comput. Soc., 2006
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach.
Proceedings of the 19th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2006), 2006
Proceedings of the 19th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2006), 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2005
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition.
Proceedings of the 18th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2005), 2005
2004
PhD thesis, 2004
IEEE Trans. Circuits Syst. Video Technol., 2004
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
2003
Using mixture covariance matrices to improve face and facial expression recognitions.
Pattern Recognit. Lett., 2003
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003
2002
Proceedings of the Biometric Authentication, 2002
1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
1998
Design of Radial Basis Function Network as Classifier in Face Recognition Using Eigenfaces.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998