| 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 | 55 | 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 | 36 | 2014 |
| 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 | 31 | 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 | 30 | 2011 |
| 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 | 28 | 2018 |
| 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 | 24 | 2012 |
| 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 | 23 | 2012 |
| Self-organization and lateral interaction in echo state network reservoirs L Boccato, R Attux, FJ Von Zuben Neurocomputing 138, 297-309, 2014 | 17 | 2014 |
| 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 | 14 | 2014 |
| 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 | 13 | 2012 |
| 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 | 12 | 2012 |
| 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 | 8 | 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 | 7 | 2017 |
| 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 | 7 | 2012 |
| Novas propostas e aplicações de redes neurais com estados de eco L Boccato [sn], 2013 | 5 | 2013 |
| 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 | 3 | 2019 |
| 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 | 3 | 2017 |
| 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 | 3 | 2016 |
| 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 | 3 | 2014 |
| Error entropy criterion in echo state network training. L Boccato, DG Silva, DG Fantinato, K Nose Filho, R Ferrari, R Attux, ... ESANN, 2013 | 3 | 2013 |
