Guilherme De A. Barreto

49 papers B 3C 10Misc 1Journal 19Unranked 15

Year	Rank	Type	Title / Venue / Authors
2015	J	`jnl`	Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. Neurocomputing Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse
2015	J	`jnl`	Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map. Neurocomputing Amauri H. Souza Júnior, Guilherme De A. Barreto, Francesco Corona
2014	C	`conf`	A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification. IDEAL José Daniel A. Santos, César Lincoln C. Mattos, Guilherme De A. Barreto
2014	C	`conf`	Classification with Reject Option Using the Self-Organizing Map. ICANN Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto
2014	—	`conf`	Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor. CIES David N. Coelho, Guilherme De A. Barreto, Cláudio M. S. Medeiros, José Daniel Alencar Santos
2013	J	`jnl`	A novel weight pruning method for MLP classifiers based on the MAXCORE principle. Neural Comput. Appl. Cláudio M. S. Medeiros, Guilherme De A. Barreto
2013	J	`jnl`	A unifying methodology for the evaluation of neural network models on novelty detection tasks. Pattern Anal. Appl. Guilherme De A. Barreto, Rewbenio A. Frota
2012	C	`conf`	Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs. IDEAL Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
2012	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2012 - 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings IDEAL Hujun Yin, José Alfredo Ferreira Costa, Guilherme De A. Barreto
2012	C	`conf`	Regional Models for Nonlinear System Identification Using the Self-Organizing Map. IDEAL Amauri Holanda de Souza Júnior, Guilherme De A. Barreto
2011	—	`conf`	A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map. IWANN (1) Ajalmar R. da Rocha Neto, Guilherme De A. Barreto
2011	—	`conf`	A SOM-Based Analysis of Early Prosodic Acquisition of English by Brazilian Learners: Preliminary Results. WSOM Ana Cristina C. Silva, Ana Cristina P. Macedo, Guilherme De A. Barreto
2011	Misc	`conf`	Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. IbPRIA Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso
2011	—	`conf`	Evolving a Self-Organizing Feature Map for Visual Object Tracking. WSOM José Everardo Bessa Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho
2011	J	`jnl`	Visual object tracking by an evolutionary self-organizing neural network. J. Intell. Fuzzy Syst. José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho
2010	—	`conf`	Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach. SBRN José Daniel A. Santos, Guilherme De A. Barreto, Cláudio M. S. Medeiros
2010	B	`conf`	Image registration by the extended evolutionary self-organizing map. ESANN Everardo Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho
2010	B	`conf`	Multiple Local Models for System Identification Using Vector Quantization Algorithms. ESANN Luís Gustavo M. Souza, Guilherme De A. Barreto
2010	J	`jnl`	Novel approaches for online playout delay prediction in VoIP applications using time series models. Comput. Electr. Eng. José B. Aragão Jr., Guilherme De A. Barreto
2010	J	`jnl`	On building local models for inverse system identification with vector quantization algorithms. Neurocomputing Luís Gustavo M. Souza, Guilherme De A. Barreto
2009	—	`conf`	Time Series Clustering for Anomaly Detection Using Competitive Neural Networks. WSOM Guilherme De A. Barreto, Leonardo Aguayo
2008	—	`conf`	Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. ICONIP (1) José Everardo Bessa Maia, André L. V. Coelho, Guilherme De A. Barreto
2008	—	`conf`	Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms. SBRN Leonardo Aguayo, Guilherme De A. Barreto
2008	C	`conf`	On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm. HIS José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho
2007	—	`conf`	An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors. ICANN (1) Cláudio M. S. Medeiros, Guilherme De A. Barreto
2007	J	`jnl`	Anomaly detection in mobile communication networks using the self-organizing map. J. Intell. Fuzzy Syst. Rewbenio A. Frota, Guilherme De A. Barreto, João Cesar M. Mota
2007	C	`conf`	Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors. ISDA Cláudio M. S. Medeiros, Guilherme De A. Barreto
2007	—	`ch.`	Time Series Prediction with the Self-Organizing Map: A Review. Perspectives of Neural-Symbolic Integration Guilherme De A. Barreto
2006	—	`conf`	A New Look at Nonlinear Time Series Prediction with NARX Recurrent Neural Network. SBRN José Maria P. Menezes Jr., Guilherme De A. Barreto
2006	J	`jnl`	Adaptive filtering with the self-organizing map: A performance comparison. Neural Networks Guilherme De A. Barreto, Luís Gustavo M. Souza
2005	J	`jnl`	Condition monitoring of 3G cellular networks through competitive neural models. IEEE Trans. Neural Networks Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota, Leonardo Aguayo
2004	—	`conf`	Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems. ICT 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
2004	J	`jnl`	Identification and control of dynamical systems using the self-organizing map. IEEE Trans. Neural Networks Guilherme De A. Barreto, Aluízio F. R. Araújo
2004	C	`conf`	Nonstationary Time Series Prediction Using Local Models Based on Competitive Neural Networks. IEA/AIE Guilherme De A. Barreto, João Cesar M. Mota, Luís Gustavo M. Souza, Rewbenio A. Frota
2004	C	`conf`	Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map. IEA/AIE Guilherme De A. Barreto, Aluízio F. R. Araújo
2003	J	`jnl`	A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. Neural Comput. Guilherme De A. Barreto, Aluízio F. R. Araújo, Stefan C. Kremer
2003	J	`jnl`	Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps. Int. J. Neural Syst. Antonio C. Padoan Jr., Guilherme De A. Barreto, Aluízio F. R. Araújo
2003	J	`jnl`	Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators. J. Intell. Robotic Syst. Guilherme De A. Barreto, Aluízio F. R. Araújo, Helge J. Ritter
2002	J	`jnl`	A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories. Appl. Intell. Aluízio F. R. Araújo, Guilherme De A. Barreto
2002	J	`jnl`	A distributed robotic control system based on a temporal self-organizing neural network. IEEE Trans. Syst. Man Cybern. Part C Guilherme De A. Barreto, Aluízio F. R. Araújo, C. Dücker, Helge J. Ritter
2002	J	`jnl`	Context in temporal sequence processing: a self-organizing approach and its application to robotics. IEEE Trans. Neural Networks Aluízio F. R. Araújo, Guilherme De A. Barreto
2002	—	`conf`	Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM. SBRN Antonio C. Padoan Jr., Aluízio F. R. Araújo, Guilherme De A. Barreto
2002	C	`conf`	Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. ICANN Guilherme De A. Barreto, Aluízio F. R. Araújo
2002	—	`conf`	Temporal associative memory and function approximation with the self-organizing map. NNSP Guilherme De A. Barreto, Aluízio F. R. Araújo
2001	J	`jnl`	Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories. Int. J. Neural Syst. Guilherme De A. Barreto, Aluízio F. R. Araújo
2000	—	`conf`	Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network. IJCNN (3) Guilherme De A. Barreto, Aluízio F. R. Araújo
1999	J	`jnl`	Unsupervised Learning and Recall of Temporal Sequences: An Application to Robotics. Int. J. Neural Syst. Guilherme De A. Barreto, Aluízio F. R. Araújo
1999	B	`conf`	Unsupervised context-based learning of multiple temporal sequences. IJCNN Guilherme De A. Barreto, Aluízio F. R. Araújo
1998	—	`conf`	Competitive and Temporal Hebbian Learning for Production of Robot Trajectories. SBRN Guilherme De A. Barreto, Aluízio F. R. Araújo