Guilherme De A. Barreto

Cláudio M. S. Medeiros, Guilherme De A. Barreto: A novel weight pruning method for MLP classifiers based on the MAXCORE principle. Neural Computing and Applications 22(1): 71-84 (2013)

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): 83-97 (2013)

Amauri H. de Souza Junior, Guilherme De A. Barreto: Regional Models for Nonlinear System Identification Using the Self-Organizing Map. IDEAL 2012: 717-724

Ajalmar R. da Rocha Neto, Guilherme De A. Barreto: Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. IDEAL 2012: 725-732

Hujun Yin, José Alfredo Ferreira Costa, Guilherme De A. Barreto (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2012 - 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings. Lecture Notes in Computer Science 7435, Springer 2012, isbn 978-3-642-32638-7

José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho: Visual object tracking by an evolutionary self-organizing neural network. Journal of Intelligent and Fuzzy Systems 22(2-3): 69-81 (2011)

Ajalmar R. da Rocha Neto, Ricardo Sousa, Guilherme De A. Barreto, Jaime S. Cardoso: Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. IbPRIA 2011: 588-595

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: 97-104

José Everardo Bessa Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho: Evolving a Self-Organizing Feature Map for Visual Object Tracking. WSOM 2011: 121-130

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: 267-276

José B. Aragão Jr., Guilherme De A. Barreto: Novel approaches for online playout delay prediction in VoIP applications using time series models. Computers & Electrical Engineering 36(3): 536-544 (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): 1993-2005 (2010)

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

Luís Gustavo M. Souza, Guilherme De A. Barreto: Multiple Local Models for System Identification Using Vector Quantization Algorithms. 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: 19-24

Guilherme De A. Barreto, Leonardo Aguayo: Time Series Clustering for Anomaly Detection Using Competitive Neural Networks. WSOM 2009: 28-36

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: 661-666

José Everardo Bessa Maia, André L. V. Coelho, Guilherme De A. Barreto: Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. ICONIP (1) 2008: 1180-1187

Leonardo Aguayo, Guilherme De A. Barreto: Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms. SBRN 2008: 129-134

Rewbenio A. Frota, Guilherme De A. Barreto, João Cesar M. Mota: Anomaly detection in mobile communication networks using the self-organizing map. Journal of Intelligent and Fuzzy Systems 18(5): 493-500 (2007)

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: 219-228

Cláudio M. S. Medeiros, Guilherme De A. Barreto: Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors. ISDA 2007: 64-69

Guilherme De A. Barreto: Time Series Prediction with the Self-Organizing Map: A Review. Perspectives of Neural-Symbolic Integration 2007: 135-158

Guilherme De A. Barreto, Luís Gustavo M. Souza: Adaptive filtering with the self-organizing map: A performance comparison. Neural Networks 19(6-7): 785-798 (2006)

Jose M. P. Menezes Jr., Guilherme De A. Barreto: A New Look at Nonlinear Time Series Prediction with NARX Recurrent Neural Network. SBRN 2006: 160-165

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 Transactions on Neural Networks 16(5): 1064-1075 (2005)

Guilherme De A. Barreto, Aluizio F. R. Araújo: Identification and control of dynamical systems using the self-organizing map. IEEE Transactions on Neural Networks 15(5): 1244-1259 (2004)

Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota, Leonardo Aguayo, J. S. Yamamoto, Pedro Eduardo de Oliveira Macedo: Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems. ICT 2004: 207-213

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: 1146-1155

Guilherme De A. Barreto, Aluizio F. R. Araújo: Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map. IEA/AIE 2004: 1156-1165

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): 119-127 (2003)

Guilherme De A. Barreto, Aluizio F. R. Araújo, Helge Ritter: Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators. Journal of Intelligent and Robotic Systems 36(4): 407-450 (2003)

Guilherme De A. Barreto, Aluizio F. R. Araújo, Stefan C. Kremer: A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. Neural Computation 15(6): 1255-1320 (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): 101-119 (2002)

Aluizio F. R. Araújo, Guilherme De A. Barreto: Context in temporal sequence processing: a self-organizing approach and its application to robotics. IEEE Transactions on Neural Networks 13(1): 45-57 (2002)

Guilherme De A. Barreto, Aluizio F. R. Araújo, C. Dücker, Helge Ritter: A distributed robotic control system based on a temporal self-organizing neural network. IEEE Transactions on Systems, Man, and Cybernetics, Part C 32(4): 347-357 (2002)

Guilherme De A. Barreto, Aluizio F. R. Araújo: Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. ICANN 2002: 975-980

Antonio C. Padoan Jr., Aluizio F. R. Araújo, Guilherme De A. Barreto: Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM. SBRN 2002: 195

Guilherme De A. Barreto, Aluizio F. R. Araújo: Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories. Int. J. Neural Syst. 11(1): 11-22 (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: 207-212

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): 235-242 (1999)

Guilherme De A. Barreto, Aluizio F. R. Araújo: Competitive and Temporal Hebbian Learning for Production of Robot Trajectories. SBRN 1998: 96-101