Guilherme De A. Barreto
Orcid: 0000-0002-7002-1216
According to our database1,
Guilherme De A. Barreto
authored at least 96 papers
between 1998 and 2023.
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Bibliography
2023
Neural Process. Lett., 2023
2022
A Sparse Online Approach for Streaming Data Classification via Prototype-Based Kernel Models.
Neural Process. Lett., 2022
2021
Fully adaptive dictionary for online correntropy kernel learning using proximal methods.
Expert Syst. Appl., 2021
A Novel Kalman Filter Formulation for Improving Tracking Performance of the Extended Kernel RLS.
Circuits Syst. Signal Process., 2021
2020
On robust randomized neural networks for regression: a comprehensive review and evaluation.
Neural Comput. Appl., 2020
A General Framework for Optimal Tuning of PID-like Controllers for Minimum Jerk Robotic Trajectories.
J. Intell. Robotic Syst., 2020
Circuits Syst. Signal Process., 2020
2019
Neural Networks, 2019
LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
Classificação de Estados Epilépticos em Sinais de EEG utilizando Detecção de Anomalias.
Proceedings of the 34th Brazilian Symposium on Databases, 2019
Proceedings of the Advances in Computational Intelligence, 2019
2018
Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation.
Neural Process. Lett., 2018
A Novel Tuning Method for PD Control of Robotic Manipulators Based on Minimum Jerk Principle.
Proceedings of the Latin American Robotic Symposium, 2018
2017
SOM4R: a Middleware for Robotic Applications Based on the Resource-Oriented Architecture.
J. Intell. Robotic Syst., 2017
Neurocomputing, 2017
Metaheuristic optimization for automatic clustering of customer-oriented supply chain data.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison.
Proceedings of the Advances in Computational Intelligence, 2017
2016
Neurocomputing, 2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Novel approaches for parameter estimation of local linear models for dynamical system identification.
Appl. Intell., 2016
Local Models for Learning Inverse Kinematics of Redundant Robots: A Performance Comparison.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
2015
Neural Process. Lett., 2015
Neural Comput. Appl., 2015
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification.
Neurocomputing, 2015
Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map.
Neurocomputing, 2015
Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
2014
An improved hybrid particle swarm optimization algorithm applied to economic modeling of radio resource allocation.
Electron. Commer. Res., 2014
On the efficient design of a prototype-based classifier using differential evolution.
Proceedings of the 2014 IEEE Symposium on Differential Evolution, 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014
2013
A unifying methodology for the evaluation of neural network models on novelty detection tasks.
Pattern Anal. Appl., 2013
Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers.
Neural Process. Lett., 2013
Neural Comput. Appl., 2013
ARTIE and MUSCLE models: building ensemble classifiers from fuzzy ART and SOM networks.
Neural Comput. Appl., 2013
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub.
Neurocomputing, 2013
Comput. Math. Methods Medicine, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Improving the Classification Performance of Optimal Linear Associative Memory in the Presence of Outliers.
Proceedings of the Advances in Computational Intelligence, 2013
Building a Robust Extreme Learning Machine for Classification in the Presence of Outliers.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
2012
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
J. Intell. Fuzzy Syst., 2011
A SOM-Based Analysis of Early Prosodic Acquisition of English by Brazilian Learners: Preliminary Results.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011
2010
On building local models for inverse system identification with vector quantization algorithms.
Neurocomputing, 2010
Novel approaches for online playout delay prediction in VoIP applications using time series models.
Comput. Electr. Eng., 2010
Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Multiple Local Models for System Identification Using Vector Quantization Algorithms.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2009
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
2008
Neurocomputing, 2008
Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2007
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007
J. Intell. Fuzzy Syst., 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors.
Proceedings of the Artificial Neural Networks, 2007
2006
Neural Networks, 2006
Proceedings of the SBRN 2006, 2006
2005
IEEE Trans. Neural Networks, 2005
2004
IEEE Trans. Neural Networks, 2004
Nonstationary Time Series Prediction Using Local Models Based on Competitive Neural Networks.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
Predictive Modeling and Planning of Robot Trajectories Using the Self-Organizing Map.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems.
Proceedings of the Telecommunications and Networking, 2004
2003
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case.
Neural Comput., 2003
J. Intell. Robotic Syst., 2003
Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps.
Int. J. Neural Syst., 2003
2002
A distributed robotic control system based on a temporal self-organizing neural network.
IEEE Trans. Syst. Man Cybern. Part C, 2002
Context in temporal sequence processing: a self-organizing approach and its application to robotics.
IEEE Trans. Neural Networks, 2002
A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories.
Appl. Intell., 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
Proceedings of the Artificial Neural Networks, 2002
2001
Int. J. Neural Syst., 2001
2000
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Int. J. Neural Syst., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998