Levy Boccato

According to our database, Levy Boccato authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A coincidence detection perspective for the maximum mean discrepancy.

Jugurta Montalvão, Dami Duarte, Levy Boccato

Pattern Recognit. Lett., January, 2024

Improved segmentation under extreme imbalance towards full background images.

Eduardo Rocha de Andrade, Levy Boccato

Expert Syst. Appl., 2024

A frequency-domain approach with learnable filters for image classification.

José Augusto Stuchi, Natalia Gil Canto, Romis Ribeiro Faissol Attux, Levy Boccato

Appl. Soft Comput., 2024

2023

Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction.

Hugo Siqueira, Jonatas Trabuco Belotti, Levy Boccato, Ivette Luna, Romis Attux, Christiano Lyra

Int. Trans. Oper. Res., 2023

2022

Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension.

Guilherme Vettorazzi Vargas, Sarah Negreiros de Carvalho, Levy Boccato

Biomed. Signal Process. Control., 2022

A Study of Emergency Siren Recognition on Resource-Constrained Devices.

Davi Francisco Caetano dos Santos, Levy Boccato

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

A Frequency Learning Approach Based on the Hartley Transform for Texture Classification.

Natalia Gil Canto, José Augusto Stuchi, Levy Boccato

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response.

Sarah Negreiros de Carvalho, Guilherme Vettorazzi Vargas, Thiago Bulhões da Silva Costa, Harlei Miguel de Arruda Leite, Luís Coradine, Levy Boccato, Diogo Coutinho Soriano, Romis Attux

Medical Biol. Eng. Comput., 2021

2020

Frequency learning for image classification.

José Augusto Stuchi, Levy Boccato, Romis Attux

CoRR, 2020

2018

Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants.

Hugo Valadares Siqueira, Levy Boccato, Ivette Luna, Romis Attux, Christiano Lyra

Appl. Soft Comput., 2018

Application of Extreme Learning Machines and Echo State Networks to Seismic Multiple Removal.

Heitor S. Carvalho, Farzin Shams, Rafael Ferrari, Levy Boccato

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Improving image classification with frequency domain layers for feature extraction.

José Augusto Stuchi, Marcus A. Angeloni, Rodrigo F. Pereira, Levy Boccato, Guilherme Folego, Paulo Victor de Souza Prado, Romis Ribeiro Faissol Attux

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Unorganized neural networks applied to streamflow forecasting of Passo Real hydroelectric plant.

Hugo Valadares Siqueira, Levy Boccato, Ivette Luna, Christiano Lyra

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

2014

Self-organization and lateral interaction in echo state network reservoirs.

Levy Boccato, Romis Attux, Fernando J. Von Zuben

Neurocomputing, 2014

Unorganized Machines for seasonal streamflow Series Forecasting.

Hugo Valadares Siqueira, Levy Boccato, Romis Attux, Christiano Lyra

Int. J. Neural Syst., 2014

Multivariate PDF matching via kernel density estimation.

Denis G. Fantinato, Levy Boccato, Romis Attux, Aline Neves

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

2013

Improving the Efficiency of Natural Computing Algorithms in DOA Estimation Using a Noise Filtering Approach.

Levy Boccato, Rafael Krummenauer, Romis Attux, Amauri Lopes

Circuits Syst. Signal Process., 2013

Error entropy criterion in echo state network training.

Levy Boccato, Daniel G. Silva, Denis G. Fantinato, Kenji Nose Filho, Rafael Ferrari, Romis Attux, Aline Neves, Jugurta Montalvão, João Marcos Travassos Romano

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

A multi-Gaussian component EDA with restarting applied to direction of arrival tracking.

André R. Gonçalves, Levy Boccato, Romis Attux, Fernando J. Von Zuben

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Application of natural computing algorithms to maximum likelihood estimation of direction of arrival.

Levy Boccato, Rafael Krummenauer, Romis Attux, Amauri Lopes

Signal Process., 2012

An extended echo state network using Volterra filtering and principal component analysis.

Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben

Neural Networks, 2012

Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines.

Guilherme Palermo Coelho, Celso C. Barbante, Levy Boccato, Romis Ribeiro Faissol Attux, Jose R. Oliveira, Fernando J. Von Zuben

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Performance analysis of nonlinear echo state network readouts in signal processing tasks.

Levy Boccato, Diogo C. Soriano, Romis Attux, Fernando J. Von Zuben

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Echo State Networks for Seasonal Streamflow Series Forecasting.

Hugo Valadares Siqueira, Levy Boccato, Romis Attux, Christiano Lyra Filho

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction.

Hugo Valadares Siqueira, Levy Boccato, Romis Attux, Christiano Lyra

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

Unorganized Machines: From Turing's Ideas to Modern Connectionist Approaches.

Levy Boccato, Everton S. Soares, Marcos M. L. P. Fernandes, Diogo C. Soriano, Romis Attux

Int. J. Nat. Comput. Res., 2011

An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem.

Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Multimodal optimization in the context of Sparse Component Analysis.

Everton Z. Nadalin, Levy Boccato, Romis Attux, Leonardo Tomazeli Duarte, Amauri Lopes, João Marcos Travassos Romano, Ricardo Suyama

Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Multimedia, 2011