Levy Boccato
Levy Boccato
Faculdade de Engenharia Elétrica e de Computação (FEEC) - Universidade Estadual de Campinas (UNICAMP
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An extended echo state network using Volterra filtering and principal component analysis
L Boccato, A Lopes, R Attux, FJ Von Zuben
Neural Networks 32, 292-302, 2012
Unorganized machines for seasonal streamflow series forecasting
H Siqueira, L Boccato, R Attux, C Lyra
International journal of neural systems 24 (03), 1430009, 2014
Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants
H Siqueira, L Boccato, I Luna, R Attux, C Lyra
Applied Soft Computing 68, 494-506, 2018
Automatic feature selection for BCI: an analysis using the davies-bouldin index and extreme learning machines
GP Coelho, CC Barbante, L Boccato, RRF Attux, JR Oliveira, ...
The 2012 international joint conference on neural networks (IJCNN), 1-8, 2012
Application of natural computing algorithms to maximum likelihood estimation of direction of arrival
L Boccato, R Krummenauer, R Attux, A Lopes
Signal Processing 92 (5), 1338-1352, 2012
An echo state network architecture based on Volterra filtering and PCA with application to the channel equalization problem
L Boccato, A Lopes, R Attux, FJ Von Zuben
The 2011 International Joint Conference on Neural Networks, 580-587, 2011
Echo state networks and extreme learning machines: A comparative study on seasonal streamflow series prediction
H Siqueira, L Boccato, R Attux, C Lyra
Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012
Echo state networks for seasonal streamflow series forecasting
H Siqueira, L Boccato, R Attux, CL Filho
Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012
Self-organization and lateral interaction in echo state network reservoirs
L Boccato, R Attux, FJ Von Zuben
Neurocomputing 138, 297-309, 2014
Improving image classification with frequency domain layers for feature extraction
JA Stuchi, MA Angeloni, RF Pereira, L Boccato, G Folego, PVS Prado, ...
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
Echo State Networks in Seasonal Streamflow Series Prediction
HV Siqueira, L Boccato, R Attux, C Lyra Filho
Learning and Nonlinear Models 10 (3), 181-191, 2012
Unorganized machines: from Turing’s ideas to modern connectionist approaches
L Boccato, ES Soares, MMLP Fernandes, DC Soriano, R Attux
Natural Computing for Simulation and Knowledge Discovery, 221-236, 2014
A correntropy-based classifier for motor imagery brain-computer interfaces
LFS Uribe, CA Stefano Filho, VA de Oliveira, TB da Silva Costa, ...
Biomedical Physics & Engineering Express 5 (6), 065026, 2019
Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction
H Siqueira, JT Belotti, L Boccato, I Luna, R Attux, C Lyra
International Transactions in Operational Research 30 (2), 742-773, 2023
Multivariate PDF matching via kernel density estimation
DG Fantinato, L Boccato, R Attux, A Neves
2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and …, 2014
Frequency learning for image classification
JA Stuchi, L Boccato, R Attux
arXiv preprint arXiv:2006.15476, 2020
Performance analysis of nonlinear echo state network readouts in signal processing tasks
L Boccato, DC Soriano, R Attux, FJ Von Zuben
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
Novas propostas e aplicações de redes neurais com estados de eco
L Boccato
Tese de doutorado, Faculdade de Engenharia Elétrica e de Computação …, 2013
Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response
SN Carvalho, GV Vargas, TB da Silva Costa, HM de Arruda Leite, ...
Medical & Biological Engineering & Computing 59 (5), 1133-1150, 2021
Analysis of ITL criteria in the context of FIR channel equalization
L Boccato, DG Fantinato, DG Silva, R Ferrari, A Neves, R Attux
Journal of Communication and Information Systems 31 (1), 2016
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