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Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction

International transactions in operational research, 2023-03, Vol.30 (2), p.742-773

2023

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Unorganized machines for seasonal streamflow series forecasting

International journal of neural systems, 2014-05, Vol.24 (3), p.1430009

2014

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An extended echo state network using Volterra filtering and principal component analysis

Neural networks, 2012-08, Vol.32, p.292-302

2012

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Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response

Medical & biological engineering & computing, 2021-05, Vol.59 (5), p.1133-1150

2021

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Improved segmentation under extreme imbalance towards full background images

Expert systems with applications, 2024-11, Vol.253, p.124273, Article 124273

2024

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A coincidence detection perspective for the maximum mean discrepancy

Pattern recognition letters, 2024-01, Vol.177, p.20-25

2024

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Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants

Applied soft computing, 2018-07, Vol.68, p.494-506

2018

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A frequency-domain approach with learnable filters for image classification

Applied soft computing, 2024-04, Vol.155, p.111443, Article 111443

2024

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Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension

Biomedical signal processing and control, 2022-03, Vol.73, p.103459, Article 103459

2022

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Application of natural computing algorithms to maximum likelihood estimation of direction of arrival

Signal processing, 2012-05, Vol.92 (5), p.1338-1352

2012

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A Study of Emergency Siren Recognition on Resource-Constrained Devices

Intelligent Systems, 2022, Vol.13654, p.154-168

2022

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Self-organization and lateral interaction in echo state network reservoirs

Neurocomputing (Amsterdam), 2014-08, Vol.138, p.297-309

2014

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Unorganized Machines: From Turing’s Ideas to Modern Connectionist Approaches

International journal of natural computing research, 2011-10, Vol.2 (4), p.1-16

2011

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An extended echo state network using Volterra filtering and principal component analysis: Selected Papers from IJCNN 2011

Neural networks, 2012, Vol.32, p.292-302

2012

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A Frequency Learning Approach Based on the Hartley Transform for Texture Classification

Intelligent Systems, 2022, Vol.13654, p.434-448

2022

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A correntropy-based classifier for motor imagery brain-computer interfaces

Biomedical physics & engineering express, 2019-11, Vol.5 (6), p.65026

2019

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Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction

Neural Information Processing, p.491-500

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Echo State Networks in Seasonal Streamflow Series Prediction

Learning and nonlinear models, 2012, Vol.10 (3), p.181-191

2012

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Performance analysis of nonlinear echo state network readouts in signal processing tasks

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012, p.1-8

2012

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A multi-Gaussian component EDA with restarting applied to direction of arrival tracking

2013 IEEE Congress on Evolutionary Computation, 2013, p.1556-1563

2013

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Echo State Networks for Seasonal Streamflow Series Forecasting

Intelligent Data Engineering and Automated Learning - IDEAL 2012, p.226-236

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Analysis of the Normalized LMS Optimum Solution in the Context of Channel Equalization

Journal of Communication and Information Systems, 2018, Vol.2018 (1), p.22-30

2018

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

2018 International Joint Conference on Neural Networks (IJCNN), 2018, p.1-8

2018

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Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II

2012 edition., 2012

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Multivariate PDF matching via kernel density estimation

2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2014, p.1-8

2014

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Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction

Unorganized machines for seasonal streamflow series forecasting

An extended echo state network using Volterra filtering and principal component analysis

Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response

Improved segmentation under extreme imbalance towards full background images

A coincidence detection perspective for the maximum mean discrepancy

Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants

A frequency-domain approach with learnable filters for image classification

Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension

Application of natural computing algorithms to maximum likelihood estimation of direction of arrival

A Study of Emergency Siren Recognition on Resource-Constrained Devices

Self-organization and lateral interaction in echo state network reservoirs

Unorganized Machines: From Turing’s Ideas to Modern Connectionist Approaches

An extended echo state network using Volterra filtering and principal component analysis: Selected Papers from IJCNN 2011

A Frequency Learning Approach Based on the Hartley Transform for Texture Classification

A correntropy-based classifier for motor imagery brain-computer interfaces

Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction

Echo State Networks in Seasonal Streamflow Series Prediction

Performance analysis of nonlinear echo state network readouts in signal processing tasks

A multi-Gaussian component EDA with restarting applied to direction of arrival tracking

Echo State Networks for Seasonal Streamflow Series Forecasting

Analysis of the Normalized LMS Optimum Solution in the Context of Channel Equalization

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

Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II

Multivariate PDF matching via kernel density estimation

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