Romis Ribeiro Faissol Attux
Orcid: 0000-0002-2961-4044
According to our database1,
Romis Ribeiro Faissol Attux
authored at least 94 papers
between 2003 and 2023.
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Bibliography
2023
Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction.
Int. Trans. Oper. Res., 2023
Classification of image encoded SSVEP-based EEG signals using Convolutional Neural Networks.
Expert Syst. Appl., 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
2022
Biomed. Signal Process. Control., 2022
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization.
Big Data Res., 2022
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response.
Medical Biol. Eng. Comput., 2021
FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces.
CoRR, 2021
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?
CoRR, 2021
CoRR, 2021
Biomed. Signal Process. Control., 2021
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs?
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021
2020
CoRR, 2020
Criteria for event-related (de)synchronization detection and feature consistency for motor imagery-based neuromodulation.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
A second-order statistics method for blind source separation in post-nonlinear mixtures.
Signal Process., 2019
Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces.
Medical Biol. Eng. Comput., 2019
Expert Syst. Appl., 2019
2018
IEEE Signal Process. Lett., 2018
Analysis of a Novel Density Matching Criterion Within the ITL Framework for Blind Channel Equalization.
Circuits Syst. Signal Process., 2018
Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch.
Commun. Nonlinear Sci. Numer. Simul., 2018
Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game.
Comput. Intell. Neurosci., 2018
Biomed. Signal Process. Control., 2018
Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants.
Appl. Soft Comput., 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
Immune-Inspired Optimization with Autocorrentropy Function for Blind Inversion of Wiener Systems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
2016
Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach.
Commun. Nonlinear Sci. Numer. Simul., 2016
Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation.
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
An immune-inspired, information-theoretic framework for blind inversion of Wiener systems.
Signal Process., 2015
Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs.
Biomed. Signal Process. Control., 2015
Do Extrator de Conhecimento Coletivo à Ágora Virtual: desenvolvendo uma ferramenta para democracia participativa (From Collective Knowledge Extractor to Virtual Agora: Developing a tool for Participatory Democracy).
Proceedings of the 10th Brazilian Symposium in Information and Human Language Technology, 2015
Effect of the combination of different numbers of flickering frequencies in an SSVEP-BCI for healthy volunteers and stroke patients.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
A blind source separation method for chemical sensor arrays based on a second order mixing model.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order.
Signal Process., 2014
Neurocomputing, 2014
Int. J. Neural Syst., 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014
2013
J. Braz. Comput. Soc., 2013
Circuits Syst. Signal Process., 2013
Improving the Efficiency of Natural Computing Algorithms in DOA Estimation Using a Noise Filtering Approach.
Circuits Syst. Signal Process., 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Unsupervised training of detection threshold for polyphonic musical note tracking based on event periodicity.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
A multi-Gaussian component EDA with restarting applied to direction of arrival tracking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures.
IEEE Trans. Signal Process., 2012
Application of natural computing algorithms to maximum likelihood estimation of direction of arrival.
Signal Process., 2012
An extended echo state network using Volterra filtering and principal component analysis.
Neural Networks, 2012
Searching for Specific periodic and Chaotic oscillations in a periodically-excited Hodgkin-Huxley Model.
Int. J. Bifurc. Chaos, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Performance analysis of nonlinear echo state network readouts in signal processing tasks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Int. J. Nat. Comput. Res., 2011
Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis.
Digit. Signal Process., 2011
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011
An immune-inspired information-theoretic approach to the problem of ICA over a Galois field.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011
An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Multimedia, 2011
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Lyapunov-based stability analysis of supervised and unsupervised adaptive algorithms.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
2009
Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Blind Source Separation of Post-Nonlinear Mixtures Using Evolutionary Computation and Gaussianization.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
EURASIP J. Adv. Signal Process., 2007
Proceedings of the 15th European Signal Processing Conference, 2007
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
News paradigms for channel equalization and identification based on nonlinear structures and evolutionary algorithms.
PhD thesis, 2005
2003
EURASIP J. Adv. Signal Process., 2003
Proceedings of the NNSP 2003, 2003
A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network.
Proceedings of the NNSP 2003, 2003