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)

Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis. - Clodoaldo A. M. Lima; Cynthia Junqueira; Ricardo Suyama; Fernando J. Von Zuben; João Marcos Travassos Romano (IJCNN, 2005)

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)

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)

Bit Loading for Precoded DSL Systems. - Danilo Zanatta-Filho; Renato Rocha Lopes; Rafael Ferrari; Ricardo Suyama; Boris Dortschy (ICASSP (3), 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)

Proposal of blind source separation methods for convolutive and nonlinear mixtures. - Ricardo Suyama (2007)

An empirical likelihood method for data aided channel identification in unknown noise field. - Frédéric Pascal 001; Jean-Pierre Barbot; Hugo Harari-Kermadec; Ricardo Suyama; Pascal Larzabal (EUSIPCO, 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)

Signal Processing Achievable rates of DSL with crosstalk cancellation. - Danilo Zanatta-Filho; Renato Rocha Lopes; Rafael Ferrari; Murilo Bellezoni Loiola; Ricardo Suyama; G. C. C. P. Simões; Boris Dortschy (Eur. Trans. Telecommun., 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)

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)

Signal recovery in PDM optical communication systems employing independent component analysis. - E. S. Rosa; Leonardo Tomazeli Duarte; João Marcos Travassos Romano; Ricardo Suyama (ISCAS, 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)

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)

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

Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation. - André K. Takahata; Everton Z. Nadalin; Rafael Ferrari; Leonardo Tomazeli Duarte; Ricardo Suyama; Renato Rocha Lopes; João Marcos Travassos Romano; Martin Tygel (IEEE Signal Process. Mag., 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)

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)

Perceptually controlled doping for audio source separation. - Gaël Mahé; Everton Z. Nadalin; Ricardo Suyama; João Marcos Travassos Romano (EURASIP J. Adv. Signal Process., 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)

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)

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)

On Minimum Entropy Deconvolution of Bi-level Images. - Kenji Nose Filho; André K. Takahata; Ricardo Suyama; Renato Rocha Lopes; João M. T. Romano (LVA/ICA, 2017)

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)

A Scaffolding Empathic Methodology in the Robotics Teacher Formation Using Log Book and the BNCC References. - Mario Minami; Marco Aurelio Cazarotto Gomes; Ricardo Suyama; Aline de Oliveira Neves Panazio; André Kazuo Takahata; Celso Setsuo Kurashima; Fernando Silva de Moura; João Henrique Kleinschmidt; Luneque del Rio de Souza e Silva Junior (LARS/SBR/WRE, 2019)

Comparative Study between Adversarial Networks and Classical Techniques for Speech Enhancement. - Tito Spadini; Ricardo Suyama (CoRR, 2019)

Sound Event Recognition in a Smart City Surveillance Context. - Tito Spadini; Dimitri Leandro de Oliveira Silva; Ricardo Suyama (CoRR, 2019)

Microphone Array Based Surveillance Audio Classification. - Dimitri Leandro de Oliveira Silva; Tito Spadini; Ricardo Suyama (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)

Increasing key randomness in physical layer key generation based on RSSI in LoRaWAN devices. - Pedro Ivo da Cruz; Ricardo Suyama; Murilo Bellezoni Loiola (Phys. Commun., 2021)

A non intrusive audio clarity index (NIAC) and its application to blind source separation. - Gaël Mahé; Giulio G. R. Suzumura; Lionel Moisan; Ricardo Suyama (Signal Process., 2022)

Relationship Between Criteria Based on Correntropy and Second Order Statistics for Equalization of Communication Channels. - Lucas Gois; Ricardo Suyama; Denis G. Fantinato; Aline Neves (IEEE Signal Process. Lett., 2022)

Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches. - Renata Pelissari; Betania S. C. Campello; Guilherme Dean Pelegrina; Ricardo Suyama; Leonardo Tomazeli Duarte (BRACIS (2), 2023)

Optimizing RF Energy Harvesting Systems for IoT Applications using Reinforcement Learning. - Lícia S. C. Lima; Renan Trevisoli; Ricardo Suyama; Ivan R. S. Casella; Rodrigo Trevisoli Doria; Carlos Eduardo Capovilla (SIoT, 2023)

Neural Networks and Explainable Artificial Intelligence for Breast Cancer Prediction and Classification. - Erika Yahata; Pablo Deoclecia dos Santos; Maria Marlene de Souza Pires; Ricardo Suyama; Priscyla Waleska Targino de Azevedo Simões (CENTERIS/ProjMAN/HCist, 2024)

Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signals. - Tito Spadini; Kenji Nose Filho; Ricardo Suyama (CoRR, 2024)

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. - Betania Silva Carneiro Campello; Guilherme Dean Pelegrina; Renata Pelissari; Ricardo Suyama; Leonardo Tomazeli Duarte (Expert Syst. Appl., 2024)

Detecting malicious pilot contamination in multiuser massive MIMO using decision trees. - Pedro Ivo da Cruz; Dimitri Leandro de Oliveira Silva; Tito Spadini; Ricardo Suyama; Murilo Bellezoni Loiola (Telecommun. Syst., 2024)

Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy. - Renata Pelissari; Ricardo Suyama; Leonardo Tomazeli Duarte; Henrique N. Sá Earp (CoRR, 2025)

Regularização, aprendizagem profunda e interdisciplinaridade em problemas inversos mal-postos. - Roberto Gutierrez Beraldo; Ricardo Suyama (CoRR, 2025)

Towards Network Data Analytics in 5G Systems and Beyond. - Marcos Lima Romero; Ricardo Suyama (CoRR, 2025)

Agentic AI for Intent-Based Industrial Automation. - Marcos Lima Romero; Ricardo Suyama (CoRR, 2025)