Clayton Reginaldo Pereira
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Deep learning-aided Parkinson's disease diagnosis from handwritten dynamics
CR Pereira, SAT Weber, C Hook, GH Rosa, JP Papa
2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
CR Pereira, DR Pereira, GH Rosa, VHC Albuquerque, SAT Weber, ...
Artificial intelligence in medicine 87, 67-77, 2018
A survey on computer-assisted Parkinson's disease diagnosis
CR Pereira, DR Pereira, SAT Weber, C Hook, VHC De Albuquerque, ...
Artificial intelligence in medicine 95, 48-63, 2019
A new computer vision-based approach to aid the diagnosis of Parkinson's disease
CR Pereira, DR Pereira, FA Silva, JP Masieiro, SAT Weber, C Hook, ...
Computer Methods and Programs in Biomedicine 136, 79-88, 2016
A step towards the automated diagnosis of parkinson's disease: Analyzing handwriting movements
CR Pereira, DR Pereira, FA Da Silva, C Hook, SAT Weber, LAM Pereira, ...
2015 IEEE 28th international symposium on computer-based medical systems …, 2015
A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks
KAP Costa, LAM Pereira, RYM Nakamura, CR Pereira, JP Papa, ...
Information Sciences 294, 95-108, 2015
A recurrence plot-based approach for Parkinson’s disease identification
LCS Afonso, GH Rosa, CR Pereira, SAT Weber, C Hook, ...
Future Generation Computer Systems 94, 282-292, 2019
An Optimum-Path Forest framework for intrusion detection in computer networks
CR Pereira, RYM Nakamura, KAP Costa, JP Papa
Engineering Applications of Artificial Intelligence 25 (6), 1226-1234, 2012
Learning parameters in deep belief networks through firefly algorithm
G Rosa, J Papa, K Costa, L Passos, C Pereira, XS Yang
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 138-149, 2016
Convolutional neural networks applied for Parkinson’s disease identification
CR Pereira, DR Pereira, JP Papa, GH Rosa, XS Yang
Machine learning for health informatics, 377-390, 2016
Automated recognition of lung diseases in CT images based on the optimum-path forest classifier
AC Barros, GLB Ramalho, CR Pereira, JP Papa, VHC de Albuquerque, ...
Neural Computing and Applications 31 (2), 901-914, 2019
Handwritten pattern recognition for early Parkinson’s disease diagnosis
LS Bernardo, A Quezada, R Munoz, FM Maia, CR Pereira, W Wu, ...
Pattern recognition letters 125, 78-84, 2019
Parkinson disease identification using residual networks and optimum-path forest
LA Passos, CR Pereira, ERS Rezende, TJ Carvalho, SAT Weber, C Hook, ...
2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018
Parkinson’s disease identification using restricted boltzmann machines
CR Pereira, LA Passos, RR Lopes, SAT Weber, C Hook, JP Papa
International Conference on Computer Analysis of Images and Patterns, 70-80, 2017
Manual de instalação de novos povoamentos com sobreiro
A Costa, C Pereira
Aplicação de boas práticas nas regiões da Chamusca e de Alcácer do Sal. ISA …, 2007
Interferência entre as vacinas anti-sarampo e antipoliomielite
CS Pannuti, VAUF Souza, N Takaoka, STS Leme, CR Pereira, ...
Boletín de la Oficina Sanitaria Panamericana (OSP); 103 (3), sept. 1987, 1987
Deep Learning-Aided Parkinson’s Disease Diagnosis from Handwritten Dynamics, in ‘2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)’
CR Pereira, S Weber, C Hook, GH Rosa, JP Papa
Ieee, 2016
Parkinson's Disease Identification through Deep Optimum-Path Forest Clustering
LCS Afonso, CR Pereira, SAT Weber, C Hook, JP Papa
2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017
A hybrid approach for breast mass categorization
LA Passos, C Santos, CR Pereira, LCS Afonso, JP Papa
ECCOMAS Thematic Conference on Computational Vision and Medical Image …, 2019
Malware detection in android-based mobile environments using optimum-path forest
KAP Da Costa, LA Da Silva, GB Martins, GH Rosa, CR Pereira, JP Papa
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
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