Romis Ribeiro Faissol Attux

发表

Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System

Fernando José Von Zuben, Ricardo Suyama, Cristina Wada, 2009, ICA.

Blind Extraction of the Sparsest Component

Everton Z. Nadalin, Leonardo Tomazeli Duarte, André K. Takahata, 2010, LVA/ICA.

Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines

Fernando José Von Zuben, Levy Boccato, Guilherme Palermo Coelho, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Support Vector Clustering Applied to Digital Communications

João Marcos Travassos Romano, Fernando José Von Zuben, Clodoaldo Ap. M. Lima, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

João Marcos Travassos Romano, Fernando José Von Zuben, Leonardo Tomazeli Duarte, 2007, EURASIP J. Adv. Signal Process..

Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism

Ricardo Suyama, Diogo C. Soriano, Romis Ribeiro Faissol Attux, 2009, ICA.

A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network

João Marcos Travassos Romano, Fernando José Von Zuben, Leandro Nunes de Castro, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis

Ricardo Suyama, Diogo C. Soriano, Romis Ribeiro Faissol Attux, 2011, Digit. Signal Process..

Blind Source Separation of Overdetermined Linear-Quadratic Mixtures

João Marcos Travassos Romano, Christian Jutten, Yannick Deville, 2010, LVA/ICA.

Improving image classification with frequency domain layers for feature extraction

Levy Boccato, Marcus A. Angeloni, Guilherme Folego, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

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)

Ricardo Ribeiro Gudwin, Romis Ribeiro Faissol Attux, Tiago Novaes Angelo, 2015, STIL.

An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources

João Marcos Travassos Romano, Ricardo Suyama, Aline Neves, 2009, ICA.

Searching for Specific periodic and Chaotic oscillations in a periodically-excited Hodgkin-Huxley Model

João Marcos Travassos Romano, Ricardo Suyama, Diogo C. Soriano, 2012, Int. J. Bifurc. Chaos.

Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation

Christian Jutten, Leonardo Tomazeli Duarte, Rafael A. Ando, 2015, LVA/ICA.

Lyapunov-based stability analysis of supervised and unsupervised adaptive algorithms

João Marcos Travassos Romano, Ricardo Suyama, Celso de Sousa Júnior, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Blind Source Separation of Post-Nonlinear Mixtures Using Evolutionary Computation and Gaussianization

João Marcos Travassos Romano, Tiago M. Dias, Ricardo Suyama, 2009, ICA.

Magnetic particle swarm optimization with estimation of distribution

Romis Ribeiro Faissol Attux, Paulo Sérgio Prampero, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

An ICA-Based Method for Blind Source Separation in Sparse Domains

Everton Z. Nadalin, Ricardo Suyama, Romis Ribeiro Faissol Attux, 2009, ICA.

Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics

João Marcos Travassos Romano, Fernando José Von Zuben, Leonardo Tomazeli Duarte, 2006, ICA.

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures

Christian Jutten, Yannick Deville, Leonardo Tomazeli Duarte, 2012, LVA/ICA.

Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

João Marcos Travassos Romano, Fernando José Von Zuben, Leandro Nunes de Castro, 2003, EURASIP J. Adv. Signal Process..

An immune-inspired information-theoretic approach to the problem of ICA over a Galois field

Everton Z. Nadalin, Leonardo Tomazeli Duarte, Ricardo Suyama, 2011, 2011 IEEE Information Theory Workshop.

Multivariate ant colony optimization in continuous search spaces

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2008, GECCO '08.

News paradigms for channel equalization and identification based on nonlinear structures and evolutionary algorithms

Romis Ribeiro Faissol Attux, 2005 .