Guilherme De A. Barreto

Publication Activity (10 Years)

Years Active: 1998-2015
Publications (10 Years): 2

Top Topics

Pattern Classification

Top Venues

Neural Comput. Appl.

Publications

Amauri H. Souza Júnior, Guilherme De A. Barreto, Francesco Corona
Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map. Neurocomputing 147 (2015)
Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. Neurocomputing 164 (2015)
Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto
Classification with Reject Option Using the Self-Organizing Map. ICANN (2014)
David N. Coelho, Guilherme De A. Barreto, Cláudio M. S. Medeiros, José Daniel Alencar Santos
Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor. CIES (2014)
José Daniel A. Santos, César Lincoln C. Mattos, Guilherme De A. Barreto
A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification. IDEAL (2014)
Guilherme De A. Barreto, Rewbenio A. Frota
A unifying methodology for the evaluation of neural network models on novelty detection tasks. Pattern Anal. Appl. 16 (1) (2013)
Cláudio M. S. Medeiros, Guilherme De A. Barreto
A novel weight pruning method for MLP classifiers based on the MAXCORE principle. Neural Comput. Appl. 22 (1) (2013)
Amauri Holanda de Souza Júnior, Guilherme De A. Barreto
Regional Models for Nonlinear System Identification Using the Self-Organizing Map. IDEAL (2012)
Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. IDEAL (2012)
José Everardo Bessa Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho
Evolving a Self-Organizing Feature Map for Visual Object Tracking. WSOM (2011)
José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho
Visual object tracking by an evolutionary self-organizing neural network. J. Intell. Fuzzy Syst. 22 (2-3) (2011)
Ana Cristina C. Silva, Ana Cristina P. Macedo, Guilherme De A. Barreto
A SOM-Based Analysis of Early Prosodic Acquisition of English by Brazilian Learners: Preliminary Results. WSOM (2011)
Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso
Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. IbPRIA (2011)
Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map. IWANN (1) (2011)
Luís Gustavo M. Souza, Guilherme De A. Barreto
Multiple Local Models for System Identification Using Vector Quantization Algorithms. ESANN (2010)
Everardo Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho
Image registration by the extended evolutionary self-organizing map. ESANN (2010)
José Daniel A. Santos, Guilherme De A. Barreto, Cláudio M. S. Medeiros
Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach. SBRN (2010)
Luís Gustavo M. Souza, Guilherme De A. Barreto
On building local models for inverse system identification with vector quantization algorithms. Neurocomputing 73 (10-12) (2010)
José B. Aragão Jr., Guilherme De A. Barreto
Novel approaches for online playout delay prediction in VoIP applications using time series models. Comput. Electr. Eng. 36 (3) (2010)
Guilherme De A. Barreto, Leonardo Aguayo
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks. WSOM (2009)
José Everardo Bessa Maia, André L. V. Coelho, Guilherme De A. Barreto
Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. ICONIP (1) (2008)
Leonardo Aguayo, Guilherme De A. Barreto
Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms. SBRN (2008)
José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho
On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm. HIS (2008)
Cláudio M. S. Medeiros, Guilherme De A. Barreto
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors. ICANN (1) (2007)
Rewbenio A. Frota, Guilherme De A. Barreto, João Cesar M. Mota
Anomaly detection in mobile communication networks using the self-organizing map. J. Intell. Fuzzy Syst. 18 (5) (2007)
Cláudio M. S. Medeiros, Guilherme De A. Barreto
Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors. ISDA (2007)
José Maria P. Menezes Jr., Guilherme De A. Barreto
A New Look at Nonlinear Time Series Prediction with NARX Recurrent Neural Network. SBRN (2006)
Guilherme De A. Barreto, Luís Gustavo M. Souza
Adaptive filtering with the self-organizing map: A performance comparison. Neural Networks 19 (6-7) (2006)
Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota, Leonardo Aguayo
Condition monitoring of 3G cellular networks through competitive neural models. IEEE Trans. Neural Networks 16 (5) (2005)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Identification and control of dynamical systems using the self-organizing map. IEEE Trans. Neural Networks 15 (5) (2004)
Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota
Nonstationary Time Series Prediction Using Local Models Based on Competitive Neural Networks. IEA/AIE (2004)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map. IEA/AIE (2004)
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
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems. ICT (2004)
Guilherme De A. Barreto, Aluizio F. R. Araújo, Helge J. Ritter
Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators. J. Intell. Robotic Syst. 36 (4) (2003)
Antonio C. Padoan Jr., Guilherme De A. Barreto, Aluizio F. R. Araújo
Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps. Int. J. Neural Syst. 13 (2) (2003)
Guilherme De A. Barreto, Aluizio F. R. Araújo, Stefan C. Kremer
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. Neural Comput. 15 (6) (2003)
Aluizio F. R. Araújo, Guilherme De A. Barreto
A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories. Appl. Intell. 17 (1) (2002)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Temporal associative memory and function approximation with the self-organizing map. NNSP (2002)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. ICANN (2002)
Aluizio F. R. Araújo, Guilherme De A. Barreto
Context in temporal sequence processing: a self-organizing approach and its application to robotics. IEEE Trans. Neural Networks 13 (1) (2002)
Guilherme De A. Barreto, Aluizio F. R. Araújo, C. Dücker, Helge J. Ritter
A distributed robotic control system based on a temporal self-organizing neural network. IEEE Trans. Syst. Man Cybern. Part C 32 (4) (2002)
Antonio C. Padoan Jr., Aluizio F. R. Araújo, Guilherme De A. Barreto
Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM. SBRN (2002)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories. Int. J. Neural Syst. 11 (1) (2001)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network. IJCNN (3) (2000)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Unsupervised Learning and Recall of Temporal Sequences: An Application to Robotics. Int. J. Neural Syst. 9 (3) (1999)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Unsupervised context-based learning of multiple temporal sequences. IJCNN (1999)
Guilherme De A. Barreto, Aluizio F. R. Araújo
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories. SBRN (1998)