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Application of Extreme Learning Machines and Echo State Networks to Seismic Multiple Removal.

, , , and . IJCNN, page 1-8. IEEE, (2018)

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An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem., , , and . IJCNN, page 580-587. IEEE, (2011)Echo State Networks for Seasonal Streamflow Series Forecasting., , , and . IDEAL, volume 7435 of Lecture Notes in Computer Science, page 226-236. Springer, (2012)Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction., , , and . ICONIP (2), volume 7664 of Lecture Notes in Computer Science, page 491-500. Springer, (2012)Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines., , , , , and . IJCNN, page 1-8. IEEE, (2012)Performance analysis of nonlinear echo state network readouts in signal processing tasks., , , and . IJCNN, page 1-8. IEEE, (2012)Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension., , and . Biomed. Signal Process. Control., (2022)Multivariate PDF matching via kernel density estimation., , , and . CIMSIVP, page 150-157. IEEE, (2014)Application of natural computing algorithms to maximum likelihood estimation of direction of arrival., , , and . Signal Process., 92 (5): 1338-1352 (2012)A coincidence detection perspective for the maximum mean discrepancy., , and . Pattern Recognit. Lett., (January 2024)Improving image classification with frequency domain layers for feature extraction., , , , , , and . MLSP, page 1-6. IEEE, (2017)