A deep convolutional neural network for COVID-19 detection using chest X-rays PRAS Bassi, R Attux Research on Biomedical Engineering 38 (1), 139-148, 2022 | 169 | 2022 |
Unsupervised Signal Processing: Channel Equalization and Source Separation JMT Romano CRC Press, 2010 | 140* | 2010 |
Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs SN Carvalho, TBS Costa, LFS Uribe, DC Soriano, GFG Yared, ... Biomedical Signal Processing and Control 21, 34-42, 2015 | 95 | 2015 |
Chaotic Signals in Digital Communications M Eisencraft, R Attux, R Suyama CRC Press, 2013 | 93* | 2013 |
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 | 67 | 2012 |
Can graph metrics be used for EEG-BCIs based on hand motor imagery? CA Stefano Filho, R Attux, G Castellano Biomedical Signal Processing and Control 40, 359-365, 2018 | 58 | 2018 |
Can graph metrics be used for EEG-BCIs based on hand motor imagery? CA Stefano Filho, R Attux, G Castellano Biomedical Signal Processing and Control 40, 359-365, 2018 | 58 | 2018 |
Chaos-based communication systems in non-ideal channels M Eisencraft, RD Fanganiello, JMV Grzybowski, DC Soriano, R Attux, ... Communications in Nonlinear Science and Numerical Simulation 17 (12), 4707-4718, 2012 | 57 | 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 | 52 | 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 | 46 | 2018 |
A method for Lyapunov spectrum estimation using cloned dynamics and its application to the discontinuously-excited FitzHugh–Nagumo model DC Soriano, FI Fazanaro, R Suyama, JR de Oliveira, R Attux, MK Madrid Nonlinear Dynamics 67 (1), 413-424, 2012 | 44 | 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 | 40 | 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, ... Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-8, 2012 | 39 | 2012 |
Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces PG Rodrigues, R Attux, G Castellano, DC Soriano Medical & biological engineering & computing 57 (8), 1709-1725, 2019 | 36 | 2019 |
An echo state network architecture based on Volterra filtering and PCA with application to the channel equalization problem L Boccato, A Lopes, R Attux, FJV Zuben Neural Networks (IJCNN), The 2011 International Joint Conference on, 580-587, 2011 | 36 | 2011 |
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 | 31 | 2012 |
Transfer learning and SpecAugment applied to SSVEP based BCI classification PRAS Bassi, W Rampazzo, R Attux Biomedical Signal Processing and Control 67, 102542, 2021 | 29 | 2021 |
Improving image classification with frequency domain layers for feature extraction JA Stuchi, MA Angeloni, RF Pereira, L Boccato, G Folego, PVS Prado, ... Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International …, 2017 | 28 | 2017 |
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 | 28 | 2012 |
EEG sensorimotor rhythms’ variation and functional connectivity measures during motor imagery: linear relations and classification approaches CA Stefano Filho, R Attux, G Castellano PeerJ 5, e3983, 2017 | 27 | 2017 |