Aline Neves

Orcid: 0000-0002-0924-2036

Affiliations:
  • Federal University of ABC, Department of Information Engineering, Santo André, Brazil


According to our database1, Aline Neves authored at least 22 papers between 2004 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Single Channel ICA for Blind Deconvolution Over Adaptive Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2026

Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis.
IEEE Access, 2026

2024
Independent Vector Analysis for Feature Extraction in Motor Imagery Classification.
Sensors, August, 2024

2023
Artifact removal for emotion recognition using mutual information and Epanechnikov kernel.
Biomed. Signal Process. Control., May, 2023

Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Novel Approach for Transfer Learning Motor Imagery Classification Based on IVA.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Relationship Between Criteria Based on Correntropy and Second Order Statistics for Equalization of Communication Channels.
IEEE Signal Process. Lett., 2022

2021
Epanechnikov kernel for PDF estimation applied to equalization and blind source separation.
Signal Process., 2021

An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2019
A second-order statistics method for blind source separation in post-nonlinear mixtures.
Signal Process., 2019

A Scaffolding Empathic Methodology in the Robotics Teacher Formation Using Log Book and the BNCC References.
Proceedings of the Latin American Robotics Symposium, 2019

2018
Analysis of a Novel Density Matching Criterion Within the ITL Framework for Blind Channel Equalization.
Circuits Syst. Signal Process., 2018

Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Blind channel equalization of encoded data over galois fields.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2014
Multivariate PDF matching via kernel density estimation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

2013
Blind separation of convolutive mixtures over Galois fields.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Error entropy criterion in echo state network training.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2010
A class of channels resulting in ill-convergence for CMA in decision feedback equalizers.
IEEE Trans. Signal Process., 2010

2009
An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2007
Algebraic parameter estimation of damped exponentials.
Proceedings of the 15th European Signal Processing Conference, 2007

2004
Restoration of the voice timbre in telephone networks based on both voice and line properties.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

An algebraic identification method for the demodulation of QPSK signal through a convolutive channel.
Proceedings of the 2004 12th European Signal Processing Conference, 2004


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