Guilherme A. Barreto
Guilherme A. Barreto
Department of Teleinformatics Engineering, Federal University of Ceará
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Long-term time series prediction with the NARX network: An empirical evaluation
JMP Menezes Jr, GA Barreto
Neurocomputing 71 (16-18), 3335-3343, 2008
Identification and control of dynamical systems using the self-organizing map
GA Barreto, AFR Araujo
IEEE Transactions on Neural Networks 15 (5), 1244-1259, 2004
Time series prediction with the self-organizing map: A review
GA Barreto
Perspectives of Neural-Symbolic Integration, 135-158, 2007
Time in self-organizing maps: An overview of models
GA Barreto, AFR Araújo, H Ritter
International Journal of Computer Research 10 (2), 139-179, 2001
Short-term memory mechanisms in neural network learning of robot navigation tasks: A case study
AL Freire, GA Barreto, M Veloso, AT Varela
2009 6th Latin American Robotics Symposium (LARS 2009), 1-6, 2009
Diagnostic of pathology on the vertebral column with embedded reject option
AR da Rocha Neto, R Sousa, GA Barreto, JS Cardoso
Iberian Conference on Pattern Recognition and Image Analysis, 588-595, 2011
On the application of ensembles of classifiers to the diagnosis of pathologies of the vertebral column: A comparative analysis
AR da Rocha Neto, G de Alencar Barreto
IEEE Latin America Transactions 7 (4), 487-496, 2009
A taxonomy for spatiotemporal connectionist networks revisited: The unsupervised case
GA Barreto, AFR Araújo, SC Kremer
Neural Computation 15 (6), 1255-1320, 2003
Self-organizing feature maps for modeling and control of robotic manipulators
GA Barreto, AFR Araújo, HJ Ritter
Journal of Intelligent & Robotic Systems 36 (4), 407-450, 2003
A stochastic variational framework for recurrent Gaussian processes models
CLC Mattos, GA Barreto
Neural Networks 112, 54-72, 2019
A new look at nonlinear time series prediction with NARX recurrent neural network
JMP Menezes Jr, GA Barreto
2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06), 160-165, 2006
Minimal learning machine: a novel supervised distance-based approach for regression and classification
AH de Souza Junior, F Corona, GA Barreto, Y Miche, A Lendasse
Neurocomputing 164, 34-44, 2015
Condition monitoring of 3G cellular networks through competitive neural models
GA Barreto, JCM Mota, LGM Souza, RA Frota, L Aguayo
IEEE Transactions on Neural Networks 16 (5), 1064-1075, 2005
Sentí que se me desprendía el alma
J Barreto, Y Puyana
Análisis de procesos y prácticas de socialización. Bogotá: Unilibros, 1996
Time series clustering for anomaly detection using competitive neural networks
GA Barreto, L Aguayo
Advances in Self-Organizing Maps, 28-36, 2009
On the classification of mental tasks: a performance comparison of neural and statistical approaches
GA Barreto, RA Frota, FNS de Medeiros
Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine …, 2004
A robust extreme learning machine for pattern classification with outliers
GA Barreto, ALBP Barros
Neurocomputing 176, 3-13, 2016
Adaptive filtering with the self-organizing map: A performance comparison
GA Barreto, LGM Souza
Neural Networks 19 (6-7), 785-798, 2006
Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor
DN Coelho, GA Barreto, CMS Medeiros, JDA Santos
2014 IEEE Symposium on Computational Intelligence for Engineering Solutions …, 2014
A self-organizing NARX network and its application to prediction of chaotic time series
GA Barreto, AFR Araujo
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
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