| Long-term time series prediction with the NARX network: An empirical evaluation JMP Menezes Jr, GA Barreto Neurocomputing 71 (16-18), 3335-3343, 2008 | 492 | 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 | 185 | 2004 |
| 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 | 122 | 2009 |
| Time series prediction with the self-organizing map: A review GA Barreto Perspectives of Neural-Symbolic Integration, 135-158, 2007 | 112 | 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 | 107 | 2001 |
| 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 | 97 | 2009 |
| Diagnostic of pathology on the vertebral column with embedded reject option AR da Rocha Neto, R Sousa, G de A. Barreto, JS Cardoso Pattern Recognition and Image Analysis: 5th Iberian Conference, IbPRIA 2011 …, 2011 | 95 | 2011 |
| A taxonomy for spatiotemporal connectionist networks revisited: The unsupervised case GA Barreto, AFR Araújo, SC Kremer Neural Computation 15 (6), 1255-1320, 2003 | 83 | 2003 |
| A stochastic variational framework for recurrent gaussian processes models CLC Mattos, GA Barreto Neural Networks 112, 54-72, 2019 | 79 | 2019 |
| 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 | 74 | 2003 |
| 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 | 72 | 2015 |
| 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 | 61 | 2006 |
| 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 | 60 | 2005 |
| 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 | 40 | 2004 |
| A robust extreme learning machine for pattern classification with outliers GA Barreto, ALBP Barros Neurocomputing 176, 3-13, 2016 | 39 | 2016 |
| Time series clustering for anomaly detection using competitive neural networks GA Barreto, L Aguayo Advances in Self-Organizing Maps, 28-36, 2009 | 37 | 2009 |
| Adaptive filtering with the self-organizing map: A performance comparison GA Barreto, LGM Souza Neural Networks 19 (6-7), 785-798, 2006 | 35 | 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 | 29 | 2014 |
| Deep recurrent Gaussian processes for outlier-robust system identification CLC Mattos, Z Dai, A Damianou, GA Barreto, ND Lawrence Journal of Process Control 60, 82-94, 2017 | 28 | 2017 |
| Construction and PID control for stability of an unmanned aerial vehicle of the type quadrotor RC Sá, ALC de Araújo, AT Varela, GA Barreto 2013 Latin American Robotics Symposium and Competition, 95-99, 2013 | 28 | 2013 |
Ajalmar Ręgo Rocha NetoFederal Institute of CearáVerified email at ifce.edu.br
