A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network. - Romis Ribeiro Faissol Attux; Leandro Nunes de Castro; Fernando José Von Zuben; João Marcos Travassos Romano (NNSP, 2003)

Unsupervised channel equalization using fuzzy prediction-error filters. - Rafael Ferrari; Cristiano M. Panazio; Romis Ribeiro Faissol Attux; Charles Casimiro Cavalcante; Leandro Nunes de Castro; Fernando José Von Zuben; João M. T. Romano (NNSP, 2003)

Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model. - Romis Ribeiro Faissol Attux; Murilo Bellezoni Loiola; Ricardo Suyama; Leandro Nunes de Castro; Fernando J. Von Zuben; João Marcos Travassos Romano (EURASIP J. Adv. Signal Process., 2003)

News paradigms for channel equalization and identification based on nonlinear structures and evolutionary algorithms. - Romis Ribeiro Faissol Attux (2005)

Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels. - Cynthia Junqueira; Fabrício Olivetti de França; Romis Ribeiro Faissol Attux; Cristiano M. Panazio; Leandro Nunes de Castro; Fernando J. Von Zuben; João Marcos Travassos Romano (IEEE Congress on Evolutionary Computation, 2006)

Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. - Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Ribeiro Faissol Attux; Fernando J. Von Zuben; João Marcos Travassos Romano (ICA, 2006)

Support Vector Clustering Applied to Digital Communications. - Clodoaldo Ap. M. Lima; Rafael Ferrari; Helder Knidel; Cynthia Junqueira; Romis Ribeiro Faissol Attux; João Marcos Travassos Romano; Fernando J. Von Zuben (IJCNN, 2006)

A clustering-based method for DOA estimation in wireless communications. - Romis Attux; Ricardo Suyama; Rafael Ferrari; Cynthia Junqueira; Rafael Krummenauer; Pascal Larzabal; Amauri Lopes (EUSIPCO, 2007)

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. - Ricardo Suyama; Leonardo Tomazeli Duarte; Rafael Ferrari; Leandro Elias Paiva Rangel; Romis Ribeiro Faissol Attux; Charles Casimiro Cavalcante; Fernando J. Von Zuben; João Marcos Travassos Romano (EURASIP J. Adv. Signal Process., 2007)

Multivariate ant colony optimization in continuous search spaces. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Fernando J. Von Zuben; Romis Ribeiro Faissol Attux (GECCO, 2008)

Blind Source Separation of Post-Nonlinear Mixtures Using Evolutionary Computation and Gaussianization. - Tiago M. Dias; Romis Ribeiro Faissol Attux; João Marcos Travassos Romano; Ricardo Suyama (ICA, 2009)

An ICA-Based Method for Blind Source Separation in Sparse Domains. - Everton Z. Nadalin; Ricardo Suyama; Romis Ribeiro Faissol Attux (ICA, 2009)

An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources. - Aline Neves; Cristina Wada; Ricardo Suyama; Romis Ribeiro Faissol Attux; João Marcos Travassos Romano (ICA, 2009)

Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism. - Diogo C. Soriano; Ricardo Suyama; Romis Ribeiro Faissol Attux (ICA, 2009)

Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System. - Cristina Wada; Douglas M. Consolaro; Rafael Ferrari; Ricardo Suyama; Romis Ribeiro Faissol Attux; Fernando J. Von Zuben (ICA, 2009)

Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. - Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Ribeiro Faissol Attux; Yannick Deville; João Marcos Travassos Romano; Christian Jutten (LVA/ICA, 2010)

Blind Extraction of the Sparsest Component. - Everton Z. Nadalin; André K. Takahata; Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Ribeiro Faissol Attux (LVA/ICA, 2010)

Lyapunov-based stability analysis of supervised and unsupervised adaptive algorithms. - Celso de Sousa Júnior; Romis Ribeiro Faissol Attux; Ricardo Suyama; João Marcos Travassos Romano (ISCAS, 2010)

Magnetic particle swarm optimization with estimation of distribution. - Paulo Sérgio Prampero; Romis Ribeiro Faissol Attux (IEEE Congress on Evolutionary Computation, 2011)

Denoising chaotic time series using an evolutionary state estimation approach. - Diogo C. Soriano; Romis Attux; João M. T. Romano; Murilo Bellezoni Loiola; Ricardo Suyama (CICA, 2011)

Multimodal optimization in the context of Sparse Component Analysis. - Everton Z. Nadalin; Levy Boccato; Romis Attux; Leonardo Tomazeli Duarte; Amauri Lopes; João Marcos Travassos Romano; Ricardo Suyama (CIMSIVP, 2011)

An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem. - Levy Boccato; Amauri Lopes; Romis Attux; Fernando J. Von Zuben (IJCNN, 2011)

An immune-inspired information-theoretic approach to the problem of ICA over a Galois field. - Daniel G. Silva; Romis Ribeiro Faissol Attux; Everton Z. Nadalin; Leonardo Tomazeli Duarte; Ricardo Suyama (ITW, 2011)

Magnetic particle swarm optimization. - Paulo Sérgio Prampero; Romis Attux (SWIS, 2011)

Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis. - Diogo C. Soriano; Ricardo Suyama; Romis Ribeiro Faissol Attux (Digit. Signal Process., 2011)

Unorganized Machines: From Turing's Ideas to Modern Connectionist Approaches. - Levy Boccato; Everton S. Soares; Marcos M. L. P. Fernandes; Diogo C. Soriano; Romis Attux (Int. J. Nat. Comput. Res., 2011)

Blind compensation of nonlinear distortions via sparsity recovery. - Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Attux; João Marcos Travassos Romano; Christian Jutten (EUSIPCO, 2012)

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. - Leonardo Tomazeli Duarte; Rafael A. Ando; Romis Ribeiro Faissol Attux; Yannick Deville; Christian Jutten (LVA/ICA, 2012)

Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction. - Hugo Valadares Siqueira; Levy Boccato; Romis Attux; Christiano Lyra (ICONIP (2), 2012)

Echo State Networks for Seasonal Streamflow Series Forecasting. - Hugo Valadares Siqueira; Levy Boccato; Romis Attux; Christiano Lyra Filho (IDEAL, 2012)

Performance analysis of nonlinear echo state network readouts in signal processing tasks. - Levy Boccato; Diogo C. Soriano; Romis Attux; Fernando J. Von Zuben (IJCNN, 2012)

Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines. - Guilherme Palermo Coelho; Celso C. Barbante; Levy Boccato; Romis Ribeiro Faissol Attux; Jose R. Oliveira; Fernando J. Von Zuben (IJCNN, 2012)

A modified version of the MEXICO algorithm for performing ICA over Galois fields. - Daniel G. Silva; Everton Z. Nadalin; Romis Attux; Jugurta R. Montalvão Filho (MLSP, 2012)

Searching for Specific periodic and Chaotic oscillations in a periodically-excited Hodgkin-Huxley Model. - Diogo C. Soriano; Romis Ribeiro Faissol Attux; Ricardo Suyama; João Marcos Travassos Romano (Int. J. Bifurc. Chaos, 2012)

An extended echo state network using Volterra filtering and principal component analysis. - Levy Boccato; Amauri Lopes; Romis Attux; Fernando J. Von Zuben (Neural Networks, 2012)

Application of natural computing algorithms to maximum likelihood estimation of direction of arrival. - Levy Boccato; Rafael Krummenauer; Romis Attux; Amauri Lopes (Signal Process., 2012)

Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures. - Leonardo Tomazeli Duarte; Ricardo Suyama; Bertrand Rivet; Romis Attux; João Marcos Travassos Romano; Christian Jutten (IEEE Trans. Signal Process., 2012)

A multi-Gaussian component EDA with restarting applied to direction of arrival tracking. - André R. Gonçalves 001; Levy Boccato; Romis Attux; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2013)

Error entropy criterion in echo state network training. - Levy Boccato; Daniel G. Silva; Denis G. Fantinato; Kenji Nose Filho; Rafael Ferrari; Romis Attux; Aline Neves; Jugurta Montalvão; João Marcos Travassos Romano (ESANN, 2013)

Unsupervised training of detection threshold for polyphonic musical note tracking based on event periodicity. - Tiago Fernandes Tavares; Jayme Garcia Arnal Barbedo; Romis Attux; Amauri Lopes (ICASSP, 2013)

Blind separation of convolutive mixtures over Galois fields. - Denis G. Fantinato; Daniel G. Silva; Everton Z. Nadalin; Romis Attux; João M. T. Romano; Aline Neves; Jugurta R. Montalvão Filho (MLSP, 2013)

Improving the Efficiency of Natural Computing Algorithms in DOA Estimation Using a Noise Filtering Approach. - Levy Boccato; Rafael Krummenauer; Romis Attux; Amauri Lopes (Circuits Syst. Signal Process., 2013)

Maximum Likelihood-Based Direction-of-Arrival Estimator for Discrete Sources. - Rafael Krummenauer; Rafael Ferrari; Ricardo Suyama; Romis Attux; Cynthia Junqueira; Pascal Larzabal; Philippe Forster; Amauri Lopes (Circuits Syst. Signal Process., 2013)

Survey on automatic transcription of music - Historical overview of techniques. - Tiago Fernandes Tavares; Jayme Garcia Arnal Barbedo; Romis Attux; Amauri Lopes (J. Braz. Comput. Soc., 2013)

The modified MEXICO for ICA over finite fields. - Daniel G. Silva; Everton Z. Nadalin; Jugurta Montalvão; Romis Attux (Signal Process., 2013)

Multivariate PDF matching via kernel density estimation. - Denis G. Fantinato; Levy Boccato; Romis Attux; Aline Neves (CIMSIVP, 2014)

cobICA: A concentration-based, immune-inspired algorithm for ICA over Galois fields. - Daniel G. Silva; Jugurta R. Montalvão Filho; Romis Attux (CIMSIVP, 2014)

Analysis of the Weighted Fuzzy C-means in the problem of source location. - Everton Z. Nadalin; Rodrigo C. Silva; Romis Attux; João M. T. Romano (ESANN, 2014)

Unorganized Machines for seasonal streamflow Series Forecasting. - Hugo Valadares Siqueira; Levy Boccato; Romis Attux; Christiano Lyra (Int. J. Neural Syst., 2014)

Self-organization and lateral interaction in echo state network reservoirs. - Levy Boccato; Romis Attux; Fernando J. Von Zuben (Neurocomputing, 2014)

A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. - Daniel G. Silva; Everton Z. Nadalin; Guilherme Palermo Coelho; Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Attux; Fernando J. Von Zuben; Jugurta Montalvão (Signal Process., 2014)

A blind source separation method for chemical sensor arrays based on a second order mixing model. - Rafael A. Ando; Leonardo Tomazeli Duarte; Christian Jutten; Romis Attux (EUSIPCO, 2015)

Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation. - David Felice Falivene Baptista; Rafael A. Ando; Leonardo Tomazeli Duarte; Christian Jutten; Romis Ribeiro Faissol Attux (LVA/ICA, 2015)

Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks. - Leonardo Tomazeli Duarte; Filipe de Oliveira Pereira; Romis Attux; Ricardo Suyama; João M. T. Romano (LVA/ICA, 2015)

Effect of the combination of different numbers of flickering frequencies in an SSVEP-BCI for healthy volunteers and stroke patients. - Sarah Negreiros de Carvalho; Thiago Bulhões da Silva Costa; Luisa F. S. Uribe; Diogo C. Soriano; Sara R. M. Almeida; Li L. Min; Gabriela Castellano; Romis Attux (NER, 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). - Tiago Novaes Angelo; Cesar José Bonjuani Pagan; Romis Ribeiro Faissol Attux; Ricardo Ribeiro Gudwin (STIL, 2015)

Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs. - Sarah Negreiros de Carvalho; Thiago Bulhões da Silva Costa; Luisa F. S. Uribe; Diogo C. Soriano; Glauco F. G. Yared; Luís C. Coradine; Romis Attux (Biomed. Signal Process. Control., 2015)

An immune-inspired, information-theoretic framework for blind inversion of Wiener systems. - Daniel G. Silva; Jugurta Montalvão; Romis Attux; Luís C. Coradine (Signal Process., 2015)

An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems. - Stephanie Alvarez Fernandez; Romis Attux; Denis G. Fantinato; Jugurta Montalvão; Daniel G. Silva (ESANN, 2016)

Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation. - Rafael Assato Ando; Christian Jutten; Bertrand Rivet; Romis Attux; Leonardo Tomazeli Duarte (EUSIPCO, 2016)

Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach. - Filipe I. Fazanaro; Diogo C. Soriano; Ricardo Suyama; Marconi K. Madrid; José Raimundo de Oliveira; Ignacio Bravo Muñoz; Romis Attux (Commun. Nonlinear Sci. Numer. Simul., 2016)

Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Bertrand Rivet; Bahram Ehsandoust; Romis Attux; Christian Jutten (LVA/ICA, 2017)

A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Paolo Zanini; Bertrand Rivet; Romis Attux; Christian Jutten (LVA/ICA, 2017)

Blind channel equalization of encoded data over galois fields. - Denis G. Fantinato; Aline Neves; Daniel G. Silva; Romis Attux (MLSP, 2017)

Improving image classification with frequency domain layers for feature extraction. - José Augusto Stuchi; Marcus A. Angeloni; Rodrigo F. Pereira; Levy Boccato; Guilherme Folego; Paulo Victor de Souza Prado; Romis Ribeiro Faissol Attux (MLSP, 2017)

Immune-Inspired Optimization with Autocorrentropy Function for Blind Inversion of Wiener Systems. - Stephanie Alvarez Fernandez; Denis G. Fantinato; Jugurta R. Montalvão Filho; Romis Attux; Daniel G. Silva (CEC, 2018)

Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Yannick Deville; Christian Jutten; Romis Attux; Aline Neves (LVA/ICA, 2018)

Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants. - Hugo Valadares Siqueira; Levy Boccato; Ivette Luna; Romis Attux; Christiano Lyra (Appl. Soft Comput., 2018)

Can graph metrics be used for EEG-BCIs based on hand motor imagery? - Carlos Alberto Stefano Filho; Romis Attux; Gabriela Castellano (Biomed. Signal Process. Control., 2018)

Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game. - Harlei Miguel de Arruda Leite; Sarah Negreiros de Carvalho; Thiago Bulhões da Silva Costa; Romis Attux; Heiko Horst Hornung; Dalton Soares Arantes (Comput. Intell. Neurosci., 2018)

Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch. - Diogo C. Soriano; Odair V. dos Santos; Ricardo Suyama; Filipe I. Fazanaro; Romis Attux (Commun. Nonlinear Sci. Numer. Simul., 2018)

Analysis of a Novel Density Matching Criterion Within the ITL Framework for Blind Channel Equalization. - Denis G. Fantinato; Aline Neves; Romis Attux (Circuits Syst. Signal Process., 2018)

Simulated Annealing for Independent Component Analysis Over Galois Fields. - Daniel G. Silva; Romis Attux (IEEE Signal Process. Lett., 2018)

Application of multi-objective optimization to blind source separation. - Guilherme Dean Pelegrina; Romis Attux; Leonardo Tomazeli Duarte (Expert Syst. Appl., 2019)

Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces. - Paula G. Rodrigues; Carlos Alberto Stefano Filho; Romis Attux; Gabriela Castellano; Diogo C. Soriano (Medical Biol. Eng. Comput., 2019)

A second-order statistics method for blind source separation in post-nonlinear mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Yannick Deville; Romis Attux; Christian Jutten; Aline Neves (Signal Process., 2019)

Criteria for event-related (de)synchronization detection and feature consistency for motor imagery-based neuromodulation. - Carlos Alberto Stefano Filho; José Ignacio Serrano; Romis Attux; Gabriela Castellano; Eduardo Rocon; M. Dolores del Castillo (BIBE, 2020)

A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays. - Pedro R. A. S. Bassi; Romis Attux (CoRR, 2020)

A multi-objective-based approach for Fair Principal Component Analysis. - Guilherme Dean Pelegrina; Renan D. B. Brotto; Leonardo Tomazeli Duarte; João M. T. Romano; Romis Attux (CoRR, 2020)

Frequency learning for image classification. - José Augusto Stuchi; Levy Boccato; Romis Attux (CoRR, 2020)

Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs? - Paula G. Rodrigues; Carlos Alberto Stefano Filho; André K. Takahata; Ricardo Suyama; Romis Attux; Gabriela Castellano; João Ricardo Sato; Slawomir J. Nasuto; Diogo C. Soriano (COMPLEX NETWORKS, 2021)

An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures. - Caroline P. A. Moraes; Juliana Saldanha; Aline Neves; Denis G. Fantinato; Romis Attux; Leonardo Tomazeli Duarte (SSP, 2021)

Transfer learning and SpecAugment applied to SSVEP based BCI classification. - Pedro R. A. S. Bassi; Willian Rampazzo; Romis Attux (Biomed. Signal Process. Control., 2021)

COVID-19 detection using chest X-rays: is lung segmentation important for generalization? - Pedro R. A. S. Bassi; Romis Attux (CoRR, 2021)

FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces. - Pedro R. A. S. Bassi; Romis Attux (CoRR, 2021)

Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response. - Sarah Negreiros de Carvalho; Guilherme Vettorazzi Vargas; Thiago Bulhões da Silva Costa; Harlei Miguel de Arruda Leite; Luís Coradine; Levy Boccato; Diogo Coutinho Soriano; Romis Attux (Medical Biol. Eng. Comput., 2021)

Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization. - Guilherme Dean Pelegrina; Renan D. B. Brotto; Leonardo Tomazeli Duarte; Romis Attux; João M. T. Romano (IJCNN, 2022)

Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization. - Alexandre Seidy Ioshisaqui; Romis Attux; Ivette Luna (Big Data Res., 2022)

Actual, sham and no-feedback effects in motor imagery practice. - Carlos Alberto Stefano Filho; Romis Attux; Gabriela Castellano (Biomed. Signal Process. Control., 2022)

Solar Energy Forecasting: Case Study of the UNICAMP Gymnasium. - Gleyson Roberto do Nascimento; Hildo Guillardi Júnior; Romis Attux (EI.A (2), 2023)

Short Calibrated SSVEP-BCI for Cross-Subject Transfer Learning via ELM-AE. - Christian Flores; Paolo Casas; Sarah Leite; Romis Attux (SMC, 2023)

Classification of image encoded SSVEP-based EEG signals using Convolutional Neural Networks. - Patrick Oliveira de Paula; Thiago Bulhões da Silva Costa; Romis Ribeiro Faissol Attux; Denis G. Fantinato (Expert Syst. Appl., 2023)

Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction. - Hugo Siqueira 001; Jonatas Trabuco Belotti; Levy Boccato; Ivette Luna; Romis Attux; Christiano Lyra (Int. Trans. Oper. Res., 2023)

Advancing SSVEP-BCI Decoding: Cross-Subject Transfer Learning and Short Calibrated Approach with ELM-AE. - Christian Flores; Paolo Casas; Sarah Negreiros de Carvalho; Romis Attux (EMBC, 2024)

A frequency-domain approach with learnable filters for image classification. - José Augusto Stuchi; Natalia Gil Canto; Romis Ribeiro Faissol Attux; Levy Boccato (Appl. Soft Comput., 2024)

Tensor-Train networks for learning predictive modeling of multidimensional data. - Michele Nazareth da Costa; Romis Attux; Andrzej Cichocki; João M. T. Romano (Neurocomputing, 2025)

Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection. - Jimi Togni; Romis Attux (CoRR, 2025)