Competitive and Temporal Hebbian Learning for Production of Robot Trajectories. - Guilherme De A. Barreto; Aluízio F. R. Araújo (SBRN, 1998)

Unsupervised context-based learning of multiple temporal sequences. - Guilherme De A. Barreto; Aluízio F. R. Araújo (IJCNN, 1999)

Unsupervised Learning and Recall of Temporal Sequences: An Application to Robotics. - Guilherme De A. Barreto; Aluízio F. R. Araújo (Int. J. Neural Syst., 1999)

Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network. - Guilherme De A. Barreto; Aluízio F. R. Araújo (IJCNN (3), 2000)

Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories. - Guilherme De A. Barreto; Aluízio F. R. Araújo (Int. J. Neural Syst., 2001)

Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. - Guilherme De A. Barreto; Aluízio F. R. Araújo (ICANN, 2002)

Temporal associative memory and function approximation with the self-organizing map. - Guilherme De A. Barreto; Aluízio F. R. Araújo (NNSP, 2002)

Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM. - Antonio C. Padoan Jr.; Aluízio F. R. Araújo; Guilherme De A. Barreto (SBRN, 2002)

A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories. - Aluízio F. R. Araújo; Guilherme De A. Barreto (Appl. Intell., 2002)

Context in temporal sequence processing: a self-organizing approach and its application to robotics. - Aluízio F. R. Araújo; Guilherme De A. Barreto (IEEE Trans. Neural Networks, 2002)

A distributed robotic control system based on a temporal self-organizing neural network. - Guilherme De A. Barreto; Aluízio F. R. Araújo; C. Dücker; Helge J. Ritter (IEEE Trans. Syst. Man Cybern. Part C, 2002)

Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps. - Antonio C. Padoan Jr.; Guilherme De A. Barreto; Aluízio F. R. Araújo (Int. J. Neural Syst., 2003)

Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators. - Guilherme De A. Barreto; Aluízio F. R. Araújo; Helge J. Ritter (J. Intell. Robotic Syst., 2003)

A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. - Guilherme De A. Barreto; Aluízio F. R. Araújo; Stefan C. Kremer (Neural Comput., 2003)

Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems. - Guilherme De A. Barreto; João Cesar M. Mota; Luís Gustavo M. Souza; Rewbenio A. Frota; Leonardo Aguayo; José S. Yamamoto; Pedro Eduardo de Oliveira Macedo (ICT, 2004)

Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map. - Guilherme De A. Barreto; Aluízio F. R. Araújo (IEA/AIE, 2004)

Nonstationary Time Series Prediction Using Local Models Based on Competitive Neural Networks. - Guilherme De A. Barreto; João Cesar M. Mota; Luís Gustavo M. Souza; Rewbenio A. Frota (IEA/AIE, 2004)

Identification and control of dynamical systems using the self-organizing map. - Guilherme De A. Barreto; Aluízio F. R. Araújo (IEEE Trans. Neural Networks, 2004)

Condition monitoring of 3G cellular networks through competitive neural models. - Guilherme De A. Barreto; João Cesar M. Mota; Luís Gustavo M. Souza; Rewbenio A. Frota; Leonardo Aguayo (IEEE Trans. Neural Networks, 2005)

A New Look at Nonlinear Time Series Prediction with NARX Recurrent Neural Network. - José Maria P. Menezes Jr.; Guilherme De A. Barreto (SBRN, 2006)

Adaptive filtering with the self-organizing map: A performance comparison. - Guilherme De A. Barreto; Luís Gustavo M. Souza (Neural Networks, 2006)

An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors. - Cláudio M. S. Medeiros; Guilherme De A. Barreto (ICANN (1), 2007)

Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors. - Cláudio M. S. Medeiros; Guilherme De A. Barreto (ISDA, 2007)

Anomaly detection in mobile communication networks using the self-organizing map. - Rewbenio A. Frota; Guilherme De A. Barreto; João Cesar M. Mota (J. Intell. Fuzzy Syst., 2007)

Time Series Prediction with the Self-Organizing Map: A Review. - Guilherme De A. Barreto (Perspectives of Neural-Symbolic Integration, 2007)

On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm. - José Everardo Bessa Maia; Guilherme De A. Barreto; André L. V. Coelho (HIS, 2008)

Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. - José Everardo Bessa Maia; André L. V. Coelho; Guilherme De A. Barreto (ICONIP (1), 2008)

Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms. - Leonardo Aguayo; Guilherme De A. Barreto (SBRN, 2008)

Long-term time series prediction with the NARX network: An empirical evaluation. - José Maria P. Menezes Jr.; Guilherme A. Barreto (Neurocomputing, 2008)

Time Series Clustering for Anomaly Detection Using Competitive Neural Networks. - Guilherme De A. Barreto; Leonardo Aguayo (WSOM, 2009)

Image registration by the extended evolutionary self-organizing map. - Everardo Maia; Guilherme De A. Barreto; André Luís Vasconcelos Coelho (ESANN, 2010)

Multiple Local Models for System Identification Using Vector Quantization Algorithms. - Luís Gustavo M. Souza; Guilherme De A. Barreto (ESANN, 2010)

Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach. - José Daniel A. Santos; Guilherme De A. Barreto; Cláudio M. S. Medeiros (SBRN, 2010)

Novel approaches for online playout delay prediction in VoIP applications using time series models. - José B. Aragão Jr.; Guilherme De A. Barreto (Comput. Electr. Eng., 2010)

On building local models for inverse system identification with vector quantization algorithms. - Luís Gustavo M. Souza; Guilherme De A. Barreto (Neurocomputing, 2010)

Wall-Following Robot Navigation Data. - Ananda Freire; Marcus V. D. Veloso; Guilherme De A. Barreto (UCI Machine Learning Repository, 2010)

Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. - Ajalmar R. da Rocha Neto; Ricardo Gamelas Sousa; Guilherme De A. Barreto; Jaime S. Cardoso 001 (IbPRIA, 2011)

A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map. - Ajalmar R. da Rocha Neto; Guilherme De A. Barreto (IWANN (1), 2011)

Evolving a Self-Organizing Feature Map for Visual Object Tracking. - José Everardo Bessa Maia; Guilherme De A. Barreto; André Luís Vasconcelos Coelho (WSOM, 2011)

A SOM-Based Analysis of Early Prosodic Acquisition of English by Brazilian Learners: Preliminary Results. - Ana Cristina C. Silva; Ana Cristina P. Macedo; Guilherme De A. Barreto (WSOM, 2011)

Visual object tracking by an evolutionary self-organizing neural network. - José Everardo Bessa Maia; Guilherme De A. Barreto; André L. V. Coelho (J. Intell. Fuzzy Syst., 2011)

Vertebral Column. - Guilherme De A. Barreto; Ajalmar R. da Rocha Neto (UCI Machine Learning Repository, 2011)

Learning visuo-motor coordination for pointing without depth calculation. - Ananda Freire; Andre Lemme; Jochen J. Steil; Guilherme A. Barreto (ESANN, 2012)

Regional Models for Nonlinear System Identification Using the Self-Organizing Map. - Amauri Holanda de Souza Júnior; Guilherme De A. Barreto (IDEAL, 2012)

Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. - Ajalmar R. da Rocha Neto; Guilherme De A. Barreto (IDEAL, 2012)

Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps. - Amauri Holanda de Souza Júnior; Francesco Corona; Guilherme A. Barreto (WSOM, 2012)

Opposite Maps for Hard Margin Support Vector Machines. - Ajalmar R. da Rocha Neto; Guilherme A. Barreto (WSOM, 2012)

Building a Robust Extreme Learning Machine for Classification in the Presence of Outliers. - Ana Luiza Bessa de Paula Barros; Guilherme A. Barreto (HAIS, 2013)

Improving the Classification Performance of Optimal Linear Associative Memory in the Presence of Outliers. - Ana Luiza Bessa de Paula Barros; Guilherme A. Barreto (IWANN (1), 2013)

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. - Amauri Holanda de Souza Júnior; Francesco Corona; Yoan Miche; Amaury Lendasse; Guilherme A. Barreto; Olli Simula (IWANN (1), 2013)

Data Preprocessing and Model Design for Medicine Problems. - Alberto Guillén; Amaury Lendasse; Guilherme A. Barreto (Comput. Math. Methods Medicine, 2013)

Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. - Andre Lemme; Ananda Freire; Guilherme A. Barreto; Jochen J. Steil (Neurocomputing, 2013)

ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks. - César Lincoln C. Mattos; Guilherme A. Barreto (Neural Comput. Appl., 2013)

A novel weight pruning method for MLP classifiers based on the MAXCORE principle. - Cláudio M. S. Medeiros; Guilherme De A. Barreto (Neural Comput. Appl., 2013)

Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers. - Ajalmar R. da Rocha Neto; Guilherme A. Barreto (Neural Process. Lett., 2013)

A unifying methodology for the evaluation of neural network models on novelty detection tasks. - Guilherme De A. Barreto; Rewbenio A. Frota (Pattern Anal. Appl., 2013)

Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor. - David N. Coelho; Guilherme De A. Barreto; Cláudio M. S. Medeiros; José Daniel Alencar Santos (CIES, 2014)

A new model selection approach for the ELM network using metaheuristic optimization. - Ananda Freire; Guilherme A. Barreto (ESANN, 2014)

reject option paradigm for the reduction of support vectors. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Guilherme A. Barreto; Jaime S. Cardoso 001; Miguel T. Coimbra (ESANN, 2014)

Improved Adaline Networks for Robust Pattern Classification. - César Lincoln C. Mattos; José Daniel A. Santos; Guilherme A. Barreto (ICANN, 2014)

Classification with Reject Option Using the Self-Organizing Map. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Jaime S. Cardoso 001; Guilherme De A. Barreto (ICANN, 2014)

A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification. - José Daniel A. Santos; César Lincoln C. Mattos; Guilherme De A. Barreto (IDEAL, 2014)

On the efficient design of a prototype-based classifier using differential evolution. - Luiz A. Soares Filho; Guilherme A. Barreto (SDE, 2014)

An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation. - César Lincoln C. Mattos; Guilherme A. Barreto; Francisco Rodrigo P. Cavalcanti (Electron. Commer. Res., 2014)

An Empirical Evaluation of Robust Gaussian Process Models for System Identification. - César Lincoln C. Mattos; José Daniel A. Santos; Guilherme A. Barreto (IDEAL, 2015)

A Novel Recursive Solution to LS-SVR for Robust Identification of Dynamical Systems. - José Daniel A. Santos; Guilherme A. Barreto (IDEAL, 2015)

Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification. - José Daniel A. Santos; César Lincoln C. Mattos; Guilherme A. Barreto (IWANN (2), 2015)

Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map. - Amauri H. Souza Júnior; Guilherme De A. Barreto; Francesco Corona (Neurocomputing, 2015)

Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. - Amauri Holanda de Souza Júnior; Francesco Corona; Guilherme De A. Barreto; Yoan Miché; Amaury Lendasse (Neurocomputing, 2015)

Robust classification with reject option using the self-organizing map. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Jaime S. Cardoso 001; Guilherme A. Barreto (Neural Comput. Appl., 2015)

On the Design of Robust Linear Pattern Classifiers Based on M-Estimators. - Guilherme A. Barreto; Ana Luiza B. P. Barros (Neural Process. Lett., 2015)

Local Models for Learning Inverse Kinematics of Redundant Robots: A Performance Comparison. - Humberto I. Fontinele; Davyd B. Melo; Guilherme A. Barreto (WSOM, 2016)

Novel approaches for parameter estimation of local linear models for dynamical system identification. - Guilherme A. Barreto; Luís Gustavo M. Souza (Appl. Intell., 2016)

Recurrent Gaussian Processes. - César Lincoln C. Mattos; Zhenwen Dai; Andreas C. Damianou; Jeremy Forth; Guilherme A. Barreto; Neil D. Lawrence (ICLR (Poster), 2016)

A Robust Extreme Learning Machine for pattern classification with outliers. - Guilherme A. Barreto; Ana Luiza B. P. Barros (Neurocomputing, 2016)

Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison. - César Lincoln C. Mattos; Guilherme A. Barreto; Gonzalo Acuña (IWANN (1), 2017)

Forward Stagewise Regression on Incomplete Datasets. - Marcelo B. A. Veras; Diego P. P. Mesquita; João P. P. Gomes; Amauri H. Souza Júnior; Guilherme A. Barreto (IWANN (1), 2017)

Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs. - David N. Coelho; Guilherme A. Barreto; Cláudio M. S. Medeiros (WSOM, 2017)

Metaheuristic optimization for automatic clustering of customer-oriented supply chain data. - César Lincoln C. Mattos; Guilherme A. Barreto; Dennis Horstkemper; Bernd Hellingrath (WSOM, 2017)

A regularized estimation framework for online sparse LSSVR models. - José Daniel A. Santos; Guilherme A. Barreto (Neurocomputing, 2017)

SOM4R: a Middleware for Robotic Applications Based on the Resource-Oriented Architecture. - Marcus V. D. Veloso; José Tarcisio Costa Filho; Guilherme A. Barreto (J. Intell. Robotic Syst., 2017)

A Novel Tuning Method for PD Control of Robotic Manipulators Based on Minimum Jerk Principle. - Phelipe Wesley Oliveira; Guilherme A. Barreto; George A. P. Thé (LARS/SBR/WRE, 2018)

Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation. - Leonardo Aguayo; Guilherme A. Barreto (Neural Process. Lett., 2018)

Robust Echo State Network for Recursive System Identification. - Renan Bessa; Guilherme A. Barreto (IWANN (1), 2019)

Classificação de Estados Epilépticos em Sinais de EEG utilizando Detecção de Anomalias. - Lucas Cabral 001; Guilherme A. Barreto; José Maria Monteiro (SBBD, 2019)

Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers. - David N. Coelho; Guilherme A. Barreto (WSOM+, 2019)

LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison. - Diego P. Sousa; Guilherme A. Barreto; Charles C. Cavalcante; Cláudio M. S. Medeiros (WSOM+, 2019)

A stochastic variational framework for Recurrent Gaussian Processes models. - César Lincoln C. Mattos; Guilherme A. Barreto (Neural Networks, 2019)

Evaluation of Goat Leather Quality Based on Computational Vision Techniques. - Edmilson Q. Santos Filho; Pedro Henrique Feijo de Sousa; Pedro Pedrosa Rebouças Filho; Guilherme A. Barreto; Victor Hugo C. de Albuquerque (Circuits Syst. Signal Process., 2020)

A General Framework for Optimal Tuning of PID-like Controllers for Minimum Jerk Robotic Trajectories. - Phelipe W. Oliveira; Guilherme A. Barreto; George A. P. Thé (J. Intell. Robotic Syst., 2020)

On robust randomized neural networks for regression: a comprehensive review and evaluation. - Ananda L. Freire; Ajalmar R. da Rocha Neto; Guilherme A. Barreto (Neural Comput. Appl., 2020)

A Novel Kalman Filter Formulation for Improving Tracking Performance of the Extended Kernel RLS. - Tiago S. Façanha; Guilherme A. Barreto; José Tarcisio Costa Filho (Circuits Syst. Signal Process., 2021)

Fully adaptive dictionary for online correntropy kernel learning using proximal methods. - Michael S. Duarte; Guilherme A. Barreto (Expert Syst. Appl., 2021)

Pattern classification based on regional models. - Rômulo B. P. Drumond; Renan F. Albuquerque; Guilherme A. Barreto; Amauri H. Souza (Appl. Soft Comput., 2022)

A Sparse Online Approach for Streaming Data Classification via Prototype-Based Kernel Models. - David N. Coelho; Guilherme A. Barreto (Neural Process. Lett., 2022)

An Outlier-Robust Growing Local Model Network for Recursive System Identification. - Jessyca Almeida Bessa; Guilherme A. Barreto; Ajalmar R. da Rocha Neto (Neural Process. Lett., 2023)

Heteroassociative Mapping with Self-Organizing Maps for Probabilistic Multi-output Prediction. - Rewbenio A. Frota; Marley M. B. R. Vellasco; Guilherme A. Barreto; Candida Menezes de Jesus (IJCNN, 2024)

Neural fractional order PID controller embedded in an 8-bit microcontroller for neonatal incubator. - Igor Rocha de Sousa; Guilherme A. Barreto (IJCNN, 2024)

New Cloth Unto an Old Garment: SOM for Regeneration Learning. - Rewbenio A. Frota; Guilherme A. Barreto; Marley M. B. R. Vellasco; Candida Menezes de Jesus (WSOM+, 2024)