Guilherme A. Barreto

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Ajalmar Rêgo Rocha NetoFederal Institute of CearáDirección de correo verificada de ifce.edu.br
Francesco CoronaAalto UniversityDirección de correo verificada de aalto.fi
Amaury LendasseUniversity of HoustonDirección de correo verificada de central.uh.edu
Liliann MicheBell Labs, NokiaDirección de correo verificada de nokia-bell-labs.com
Jaime CardosoFull Professor at Faculty of Engineering, University of Porto; Researcher, INESC TECDirección de correo verificada de fe.up.pt
Helge RitterProfessor of Neuroinformatics, Bielefeld UniversityDirección de correo verificada de techfak.uni-bielefeld.de
José Everardo Bessa MaiaProfessor de Engenharia Elétrica e Computação, UECEDirección de correo verificada de uece.br
Stefan C. KremerSchool of Computer Science, University of GuelphDirección de correo verificada de kremer.ca
Jose Sindi YamamotoInnovatech TelecomDirección de correo verificada de innovatechtelecom.com
Andre LemmeKOSTAL Automotive Electrical SystemsDirección de correo verificada de kostal.com
Jochen J. SteilProfessor of Robotics, Technische Universität BraunschweigDirección de correo verificada de tu-braunschweig.de
Roberto BarattiDipartimento Ingegneria Meccanica, Chimica e dei Materiali - Università degli Studi di CagliariDirección de correo verificada de dimcm.unica.it
Zhanxing ZhuAssociate Professor, ECS, University of SouthamptonDirección de correo verificada de soton.ac.uk
Sandra Cristina de OliveiraSchool of Sciences and Engineering - São Paulo State UniversityDirección de correo verificada de unesp.br
André L. V. CoelhoResearcher
Ricardo Gamelas SousaFarfetch

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Guilherme A. Barreto

Department of Teleinformatics Engineering, Federal University of Ceará

Dirección de correo verificada de ufc.br

Pattern Recognition Neural Networks Robotics System Identification Time Series Prediction


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Long-term time series prediction with the NARX network: An empirical evaluation JMP Menezes Jr, GA Barreto Neurocomputing 71 (16-18), 3335-3343, 2008	574	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	195	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	136	2009
Time series prediction with the self-organizing map: A review GA Barreto Perspectives of Neural-Symbolic Integration, 135-158, 2007	121	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	109	2001
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	104	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	95	2009
A stochastic variational framework for recurrent Gaussian processes models CLC Mattos, GA Barreto Neural Networks 112, 54-72, 2019	94	2019
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	84	2015
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	82	2003
A taxonomy for spatiotemporal connectionist networks revisited: The unsupervised case GA Barreto, AFR Araújo, SC Kremer Neural Computation 15 (6), 1255-1320, 2003	81	2003
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	69	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	62	2005
A robust extreme learning machine for pattern classification with outliers GA Barreto, ALBP Barros Neurocomputing 176, 3-13, 2016	45	2016
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	41	2004
Adaptive filtering with the self-organizing map: A performance comparison GA Barreto, LGM Souza Neural Networks 19 (6-7), 785-798, 2006	40	2006
Time series clustering for anomaly detection using competitive neural networks GA Barreto, L Aguayo Advances in Self-Organizing Maps, 28-36, 2009	39	2009
Construction and PID control for stability of an unmanned aerial vehicle of the type quadrotor RC Sa, ALC de Araújo, AT Varela, GA Barreto 2013 Latin American Robotics Symposium and Competition, 95-99, 2013	33	2013
Novelty detection in time series using self-organizing neural networks: A comprehensive evaluation L Aguayo, GA Barreto Neural Processing Letters 47, 717-744, 2018	31	2018
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	31	2017

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