Guilherme A. Barreto

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 25

Top Topics

Gaussian Process

Extreme Learning Machine

Top Venues

Neural Process. Lett.

Publications

Jessyca Almeida Bessa, Guilherme A. Barreto, Ajalmar R. da Rocha Neto
An Outlier-Robust Growing Local Model Network for Recursive System Identification. Neural Process. Lett. 55 (4) (2023)
Rômulo B. P. Drumond, Renan F. Albuquerque, Guilherme A. Barreto, Amauri H. Souza
Pattern classification based on regional models. Appl. Soft Comput. 129 (2022)
David N. Coelho, Guilherme A. Barreto
A Sparse Online Approach for Streaming Data Classification via Prototype-Based Kernel Models. Neural Process. Lett. 54 (3) (2022)
Tiago S. Façanha, Guilherme A. Barreto, José Tarcisio Costa Filho
A Novel Kalman Filter Formulation for Improving Tracking Performance of the Extended Kernel RLS. Circuits Syst. Signal Process. 40 (3) (2021)
Michael S. Duarte, Guilherme A. Barreto
Fully adaptive dictionary for online correntropy kernel learning using proximal methods. Expert Syst. Appl. 178 (2021)
Ananda L. Freire, Ajalmar R. da Rocha Neto, Guilherme A. Barreto
On robust randomized neural networks for regression: a comprehensive review and evaluation. Neural Comput. Appl. 32 (22) (2020)
Edmilson Q. Santos Filho, Pedro Henrique Feijo de Sousa, Pedro Pedrosa Rebouças Filho, Guilherme A. Barreto, Victor Hugo C. de Albuquerque
Evaluation of Goat Leather Quality Based on Computational Vision Techniques. Circuits Syst. Signal Process. 39 (2) (2020)
Phelipe W. Oliveira, Guilherme A. Barreto, George A. P. Thé
A General Framework for Optimal Tuning of PID-like Controllers for Minimum Jerk Robotic Trajectories. J. Intell. Robotic Syst. 99 (3) (2020)
Renan Bessa, Guilherme A. Barreto
Robust Echo State Network for Recursive System Identification. IWANN (1) (2019)
César Lincoln C. Mattos, Guilherme A. Barreto
A stochastic variational framework for Recurrent Gaussian Processes models. Neural Networks 112 (2019)
David N. Coelho, Guilherme A. Barreto
Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers. WSOM+ (2019)
Lucas Cabral, Guilherme A. Barreto, José Maria Monteiro
Classificação de Estados Epilépticos em Sinais de EEG utilizando Detecção de Anomalias. SBBD (2019)
Diego P. Sousa, Guilherme A. Barreto, Charles C. Cavalcante, Cláudio M. S. Medeiros
LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison. WSOM+ (2019)
Leonardo Aguayo, Guilherme A. Barreto
Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation. Neural Process. Lett. 47 (2) (2018)
Phelipe Wesley Oliveira, Guilherme A. Barreto, George A. P. Thé
A Novel Tuning Method for PD Control of Robotic Manipulators Based on Minimum Jerk Principle. LARS/SBR/WRE (2018)
César Lincoln C. Mattos, Guilherme A. Barreto, Gonzalo Acuña
Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison. IWANN (1) (2017)
David N. Coelho, Guilherme A. Barreto, Cláudio M. S. Medeiros
Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs. WSOM (2017)
José Daniel A. Santos, Guilherme A. Barreto
A regularized estimation framework for online sparse LSSVR models. Neurocomputing 238 (2017)
César Lincoln C. Mattos, Guilherme A. Barreto, Dennis Horstkemper, Bernd Hellingrath
Metaheuristic optimization for automatic clustering of customer-oriented supply chain data. WSOM (2017)
Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto
Forward Stagewise Regression on Incomplete Datasets. IWANN (1) (2017)
Marcus V. D. Veloso, José Tarcisio Costa Filho, Guilherme A. Barreto
SOM4R: a Middleware for Robotic Applications Based on the Resource-Oriented Architecture. J. Intell. Robotic Syst. 87 (3-4) (2017)
Guilherme A. Barreto, Ana Luiza B. P. Barros
A Robust Extreme Learning Machine for pattern classification with outliers. Neurocomputing 176 (2016)
César Lincoln C. Mattos, Zhenwen Dai, Andreas C. Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence
Recurrent Gaussian Processes. ICLR (Poster) (2016)
Guilherme A. Barreto, Luís Gustavo M. Souza
Novel approaches for parameter estimation of local linear models for dynamical system identification. Appl. Intell. 44 (1) (2016)
Humberto I. Fontinele, Davyd B. Melo, Guilherme A. Barreto
Local Models for Learning Inverse Kinematics of Redundant Robots: A Performance Comparison. WSOM (2016)
Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto
Robust classification with reject option using the self-organizing map. Neural Comput. Appl. 26 (7) (2015)
José Daniel A. Santos, César Lincoln C. Mattos, Guilherme A. Barreto
Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification. IWANN (2) (2015)
César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto
An Empirical Evaluation of Robust Gaussian Process Models for System Identification. IDEAL (2015)
Guilherme A. Barreto, Ana Luiza B. P. Barros
On the Design of Robust Linear Pattern Classifiers Based on M-Estimators. Neural Process. Lett. 42 (1) (2015)
José Daniel A. Santos, Guilherme A. Barreto
A Novel Recursive Solution to LS-SVR for Robust Identification of Dynamical Systems. IDEAL (2015)
César Lincoln C. Mattos, Guilherme A. Barreto, Francisco Rodrigo P. Cavalcanti
An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation. Electron. Commer. Res. 14 (1) (2014)
Luiz A. Soares Filho, Guilherme A. Barreto
On the efficient design of a prototype-based classifier using differential evolution. SDE (2014)
Ananda Freire, Guilherme A. Barreto
A new model selection approach for the ELM network using metaheuristic optimization. ESANN (2014)
César Lincoln C. Mattos, José Daniel A. Santos, Guilherme A. Barreto
Improved Adaline Networks for Robust Pattern Classification. ICANN (2014)
Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra
reject option paradigm for the reduction of support vectors. ESANN (2014)
Alberto Guillén, Amaury Lendasse, Guilherme A. Barreto
Data Preprocessing and Model Design for Medicine Problems. Comput. Math. Methods Medicine 2013 (2013)
Ana Luiza Bessa de Paula Barros, Guilherme A. Barreto
Building a Robust Extreme Learning Machine for Classification in the Presence of Outliers. HAIS (2013)
Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. IWANN (1) (2013)
Ana Luiza Bessa de Paula Barros, Guilherme A. Barreto
Improving the Classification Performance of Optimal Linear Associative Memory in the Presence of Outliers. IWANN (1) (2013)
César Lincoln C. Mattos, Guilherme A. Barreto
ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks. Neural Comput. Appl. 22 (1) (2013)
Andre Lemme, Ananda Freire, Guilherme A. Barreto, Jochen J. Steil
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing 112 (2013)
Ajalmar R. da Rocha Neto, Guilherme A. Barreto
Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers. Neural Process. Lett. 37 (1) (2013)
Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme A. Barreto
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps. WSOM (2012)
Ananda Freire, Andre Lemme, Jochen J. Steil, Guilherme A. Barreto
Learning visuo-motor coordination for pointing without depth calculation. ESANN (2012)
Ajalmar R. da Rocha Neto, Guilherme A. Barreto
Opposite Maps for Hard Margin Support Vector Machines. WSOM (2012)
José Maria P. Menezes Jr., Guilherme A. Barreto
Long-term time series prediction with the NARX network: An empirical evaluation. Neurocomputing 71 (16-18) (2008)
Guilherme A. Barreto, Aluizio Fausto Ribeiro Araújo, C. Dücker, Helge J. Ritter
A distributed robotic control system based on a temporal self-organizing neural network. SMC (2001)