Levy Boccato
Levy Boccato
Faculdade de Engenharia Elétrica e de Computação (FEEC) - Universidade Estadual de Campinas (UNICAMP
E-mail confirmado em dca.fee.unicamp.br
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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
552012
Unorganized machines for seasonal streamflow series forecasting
H Siqueira, L Boccato, R Attux, C Lyra
International journal of neural systems 24 (03), 1430009, 2014
372014
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
312018
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
312012
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
302011
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
252012
Echo state networks and extreme learning machines: A comparative study on seasonal streamflow series prediction
H Siqueira, L Boccato, R Attux, C Lyra
International conference on neural information processing, 491-500, 2012
242012
Self-organization and lateral interaction in echo state network reservoirs
L Boccato, R Attux, FJ Von Zuben
Neurocomputing 138, 297-309, 2014
172014
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
152014
Echo state networks for seasonal streamflow series forecasting
H Siqueira, L Boccato, R Attux, C Lyra Filho
International Conference on Intelligent Data Engineering and Automated …, 2012
132012
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
132012
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
92014
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
82017
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
72019
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
72012
Novas propostas e aplicações de redes neurais com estados de eco
L Boccato
[sn], 2013
52013
A comparative analysis of correlation and correntropy in graph-based brain computer interfaces
LFS Uribe, CA Stefano Filho, VB Olivatto, VA Oliveira, DC Soriano, ...
XXXV Simpósio Brasileiro de Telecomunicações, São Pedro, Brasil, 80, 2017
32017
Analysis of ITL criteria in the context of FIR channel equalization
L Boccato, D Fantinato, D Silva, R Ferrari, A Neves, R Attux
Journal of communication and information systems, 2016
32016
A comparative study of non-MSE criteria in nonlinear equalization
L Boccato, DG Silva, D Fantinato, R Ferrari, R Attux
2014 International Telecommunications Symposium (ITS), 1-5, 2014
32014
Error entropy criterion in echo state network training.
L Boccato, DG Silva, DG Fantinato, K Nose Filho, R Ferrari, R Attux, ...
ESANN, 2013
32013
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