Levy Boccato

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 13

Top Topics

Kernel Density Estimation

Image Classification

Spatial And Frequency Domains

Top Venues

Appl. Soft Comput.

Biomed. Signal Process. Control.

Publications

José Augusto Stuchi, Natalia Gil Canto, Romis Ribeiro Faissol Attux, Levy Boccato
A frequency-domain approach with learnable filters for image classification. Appl. Soft Comput. 155 (2024)
Eduardo Rocha de Andrade, Levy Boccato
Improved segmentation under extreme imbalance towards full background images. Expert Syst. Appl. 253 (2024)
Jugurta Montalvão, Dami Duarte, Levy Boccato
A coincidence detection perspective for the maximum mean discrepancy. Pattern Recognit. Lett. 177 (2024)
Hugo Siqueira, Jonatas Trabuco Belotti, Levy Boccato, Ivette Luna, Romis Attux, Christiano Lyra
Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction. Int. Trans. Oper. Res. 30 (2) (2023)
Guilherme Vettorazzi Vargas, Sarah Negreiros de Carvalho, Levy Boccato
Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension. Biomed. Signal Process. Control. 73 (2022)
Natalia Gil Canto, José Augusto Stuchi, Levy Boccato
A Frequency Learning Approach Based on the Hartley Transform for Texture Classification. BRACIS (2) (2022)
Davi Francisco Caetano dos Santos, Levy Boccato
A Study of Emergency Siren Recognition on Resource-Constrained Devices. BRACIS (2) (2022)
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
Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response. Medical Biol. Eng. Comput. 59 (5) (2021)
José Augusto Stuchi, Levy Boccato, Romis Attux
Frequency learning for image classification. CoRR (2020)
Heitor S. Carvalho, Farzin Shams, Rafael Ferrari, Levy Boccato
Application of Extreme Learning Machines and Echo State Networks to Seismic Multiple Removal. IJCNN (2018)
Hugo Valadares Siqueira, Levy Boccato, Ivette Luna, Romis Attux, Christiano Lyra
Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants. Appl. Soft Comput. 68 (2018)
José Augusto Stuchi, Marcus A. Angeloni, Rodrigo F. Pereira, Levy Boccato, Guilherme Folego, Paulo Victor de Souza Prado, Romis Ribeiro Faissol Attux
Improving image classification with frequency domain layers for feature extraction. MLSP (2017)
Hugo Valadares Siqueira, Levy Boccato, Ivette Luna, Christiano Lyra
Unorganized neural networks applied to streamflow forecasting of Passo Real hydroelectric plant. LA-CCI (2016)
Denis G. Fantinato, Levy Boccato, Romis Attux, Aline Neves
Multivariate PDF matching via kernel density estimation. CIMSIVP (2014)
Hugo Valadares Siqueira, Levy Boccato, Romis Attux, Christiano Lyra
Unorganized Machines for seasonal streamflow Series Forecasting. Int. J. Neural Syst. 24 (3) (2014)
Levy Boccato, Romis Attux, Fernando J. Von Zuben
Self-organization and lateral interaction in echo state network reservoirs. Neurocomputing 138 (2014)
André R. Gonçalves, Levy Boccato, Romis Attux, Fernando J. Von Zuben
A multi-Gaussian component EDA with restarting applied to direction of arrival tracking. IEEE Congress on Evolutionary Computation (2013)
Levy Boccato, Rafael Krummenauer, Romis Attux, Amauri Lopes
Improving the Efficiency of Natural Computing Algorithms in DOA Estimation Using a Noise Filtering Approach. Circuits Syst. Signal Process. 32 (4) (2013)
Levy Boccato, Daniel G. Silva, Denis G. Fantinato, Kenji Nose Filho, Rafael Ferrari, Romis Attux, Aline Neves, Jugurta Montalvão, João Marcos Travassos Romano
Error entropy criterion in echo state network training. ESANN (2013)
Levy Boccato, Rafael Krummenauer, Romis Attux, Amauri Lopes
Application of natural computing algorithms to maximum likelihood estimation of direction of arrival. Signal Process. 92 (5) (2012)
Hugo Valadares Siqueira, Levy Boccato, Romis Attux, Christiano Lyra
Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction. ICONIP (2) (2012)
Levy Boccato, Diogo C. Soriano, Romis Attux, Fernando J. Von Zuben
Performance analysis of nonlinear echo state network readouts in signal processing tasks. IJCNN (2012)
Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben
An extended echo state network using Volterra filtering and principal component analysis. Neural Networks 32 (2012)
Guilherme Palermo Coelho, Celso C. Barbante, Levy Boccato, Romis Ribeiro Faissol Attux, Jose R. Oliveira, Fernando J. Von Zuben
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines. IJCNN (2012)
Hugo Valadares Siqueira, Levy Boccato, Romis Attux, Christiano Lyra Filho
Echo State Networks for Seasonal Streamflow Series Forecasting. IDEAL (2012)
Levy Boccato, Everton S. Soares, Marcos M. L. P. Fernandes, Diogo C. Soriano, Romis Attux
Unorganized Machines: From Turing's Ideas to Modern Connectionist Approaches. Int. J. Nat. Comput. Res. 2 (4) (2011)
Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben
An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem. IJCNN (2011)
Everton Z. Nadalin, Levy Boccato, Romis Attux, Leonardo Tomazeli Duarte, Amauri Lopes, João Marcos Travassos Romano, Ricardo Suyama
Multimodal optimization in the context of Sparse Component Analysis. CIMSIVP (2011)