Ricardo Suyama

55 papers B 2C 2Journal 28Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Source Separation With Prior. IEEE Access Rodrigo Da Silva Cassimiro, Kenji Nose Filho, Ricardo Suyama
2025	J	`jnl`	Agentic AI for Intent-Based Industrial Automation. CoRR Marcos Lima Romero, Ricardo Suyama
2025	J	`jnl`	Detecting Malicious Pilot Contamination in Multiuser Massive MIMO Using Decision Trees. CoRR Pedro Ivo da Cruz, Dimitri Leandro de Oliveira Silva, Tito Spadini, Ricardo Suyama, Murilo Bellezoni Loiola
2025	J	`jnl`	Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy. CoRR Renata Pelissari, Ricardo Suyama, Leonardo Tomazeli Duarte, Henrique N. Sá Earp
2025	—	`conf`	Regularization for Inverse Problems and Machine Learning: A Tutorial. SIBGRAPI Roberto Gutierrez Beraldo, Leonardo Alves Ferreira, Ricardo Suyama
2025	J	`jnl`	Regularização, aprendizagem profunda e interdisciplinaridade em problemas inversos mal-postos. CoRR Roberto Gutierrez Beraldo, Ricardo Suyama
2025	J	`jnl`	Towards Network Data Analytics in 5G Systems and Beyond. CoRR Marcos Lima Romero, Ricardo Suyama
2024	J	`jnl`	Detecting malicious pilot contamination in multiuser massive MIMO using decision trees. Telecommun. Syst. Pedro Ivo da Cruz, Dimitri Leandro de Oliveira Silva, Tito Spadini, Ricardo Suyama, Murilo Bellezoni Loiola
2024	J	`jnl`	Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signals. CoRR Tito Spadini, Kenji Nose Filho, Ricardo Suyama
2024	J	`jnl`	Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. CoRR Betania Silva Carneiro Campello, Guilherme Dean Pelegrina, Renata Pelissari, Ricardo Suyama, Leonardo Tomazeli Duarte
2024	J	`jnl`	Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. Expert Syst. Appl. Betania Silva Carneiro Campello, Guilherme Dean Pelegrina, Renata Pelissari, Ricardo Suyama, Leonardo Tomazeli Duarte
2024	—	`conf`	Neural Networks and Explainable Artificial Intelligence for Breast Cancer Prediction and Classification. CENTERIS/ProjMAN/HCist Erika Yahata, Pablo Deoclecia dos Santos, Maria Marlene de Souza Pires, Ricardo Suyama, Priscyla Waleska Targino de Azevedo Simões
2023	—	`conf`	Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches. BRACIS (2) Renata Pelissari, Betania S. C. Campello, Guilherme Dean Pelegrina, Ricardo Suyama, Leonardo Tomazeli Duarte
2023	—	`conf`	Optimizing RF Energy Harvesting Systems for IoT Applications using Reinforcement Learning. SIoT Lícia S. C. Lima, Renan Trevisoli, Ricardo Suyama, Ivan R. S. Casella, Rodrigo Trevisoli Doria, Carlos Eduardo Capovilla
2022	J	`jnl`	A non intrusive audio clarity index (NIAC) and its application to blind source separation. Signal Process. Gaël Mahé, Giulio G. R. Suzumura, Lionel Moisan, Ricardo Suyama
2022	J	`jnl`	Relationship Between Criteria Based on Correntropy and Second Order Statistics for Equalization of Communication Channels. IEEE Signal Process. Lett. Lucas Gois, Ricardo Suyama, Denis G. Fantinato, Aline Neves
2021	—	`conf`	Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs? COMPLEX NETWORKS 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
2021	J	`jnl`	Increasing key randomness in physical layer key generation based on RSSI in LoRaWAN devices. Phys. Commun. Pedro Ivo da Cruz, Ricardo Suyama, Murilo Bellezoni Loiola
2020	J	`jnl`	Microphone Array Based Surveillance Audio Classification. CoRR Dimitri Leandro de Oliveira Silva, Tito Spadini, Ricardo Suyama
2019	—	`conf`	A Scaffolding Empathic Methodology in the Robotics Teacher Formation Using Log Book and the BNCC References. LARS/SBR/WRE 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
2019	J	`jnl`	Comparative Study between Adversarial Networks and Classical Techniques for Speech Enhancement. CoRR Tito Spadini, Ricardo Suyama
2019	J	`jnl`	Sound Event Recognition in a Smart City Surveillance Context. CoRR Tito Spadini, Dimitri Leandro de Oliveira Silva, Ricardo Suyama
2018	J	`jnl`	Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch. Commun. Nonlinear Sci. Numer. Simul. Diogo C. Soriano, Odair V. dos Santos, Ricardo Suyama, Filipe I. Fazanaro, Romis Attux
2017	—	`conf`	On Minimum Entropy Deconvolution of Bi-level Images. LVA/ICA Kenji Nose Filho, André K. Takahata, Ricardo Suyama, Renato Rocha Lopes, João M. T. Romano
2016	J	`jnl`	Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach. Commun. Nonlinear Sci. Numer. Simul. Filipe I. Fazanaro, Diogo C. Soriano, Ricardo Suyama, Marconi K. Madrid, José Raimundo de Oliveira, Ignacio Bravo Muñoz, Romis Attux
2015	—	`conf`	Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks. LVA/ICA Leonardo Tomazeli Duarte, Filipe de Oliveira Pereira, Romis Attux, Ricardo Suyama, João M. T. Romano
2014	J	`jnl`	A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. Signal Process. Daniel G. Silva, Everton Z. Nadalin, Guilherme Palermo Coelho, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, Fernando J. Von Zuben, Jugurta Montalvão
2014	J	`jnl`	Perceptually controlled doping for audio source separation. EURASIP J. Adv. Signal Process. Gaël Mahé, Everton Z. Nadalin, Ricardo Suyama, João Marcos Travassos Romano
2013	J	`jnl`	Maximum Likelihood-Based Direction-of-Arrival Estimator for Discrete Sources. Circuits Syst. Signal Process. Rafael Krummenauer, Rafael Ferrari, Ricardo Suyama, Romis Attux, Cynthia Junqueira, Pascal Larzabal, Philippe Forster, Amauri Lopes
2012	J	`jnl`	Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures. IEEE Trans. Signal Process. Leonardo Tomazeli Duarte, Ricardo Suyama, Bertrand Rivet, Romis Attux, João Marcos Travassos Romano, Christian Jutten
2012	—	`conf`	Blind compensation of nonlinear distortions via sparsity recovery. EUSIPCO Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, Christian Jutten
2012	J	`jnl`	Searching for Specific periodic and Chaotic oscillations in a periodically-excited Hodgkin-Huxley Model. Int. J. Bifurc. Chaos Diogo C. Soriano, Romis Ribeiro Faissol Attux, Ricardo Suyama, João Marcos Travassos Romano
2012	J	`jnl`	Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation. IEEE Signal Process. Mag. André K. Takahata, Everton Z. Nadalin, Rafael Ferrari, Leonardo Tomazeli Duarte, Ricardo Suyama, Renato Rocha Lopes, João Marcos Travassos Romano, Martin Tygel
2011	B	`conf`	An immune-inspired information-theoretic approach to the problem of ICA over a Galois field. ITW Daniel G. Silva, Romis Ribeiro Faissol Attux, Everton Z. Nadalin, Leonardo Tomazeli Duarte, Ricardo Suyama
2011	J	`jnl`	Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis. Digit. Signal Process. Diogo C. Soriano, Ricardo Suyama, Romis Ribeiro Faissol Attux
2011	—	`conf`	Denoising chaotic time series using an evolutionary state estimation approach. CICA Diogo C. Soriano, Romis Attux, João M. T. Romano, Murilo Bellezoni Loiola, Ricardo Suyama
2011	—	`conf`	Multimodal optimization in the context of Sparse Component Analysis. CIMSIVP Everton Z. Nadalin, Levy Boccato, Romis Attux, Leonardo Tomazeli Duarte, Amauri Lopes, João Marcos Travassos Romano, Ricardo Suyama
2011	C	`conf`	Signal recovery in PDM optical communication systems employing independent component analysis. ISCAS E. S. Rosa, Leonardo Tomazeli Duarte, João Marcos Travassos Romano, Ricardo Suyama
2010	—	`conf`	Blind Extraction of the Sparsest Component. LVA/ICA Everton Z. Nadalin, André K. Takahata, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux
2010	—	`conf`	Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. LVA/ICA Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux, Yannick Deville, João Marcos Travassos Romano, Christian Jutten
2010	C	`conf`	Lyapunov-based stability analysis of supervised and unsupervised adaptive algorithms. ISCAS Celso de Sousa Júnior, Romis Ribeiro Faissol Attux, Ricardo Suyama, João Marcos Travassos Romano
2009	—	`conf`	An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources. ICA Aline Neves, Cristina Wada, Ricardo Suyama, Romis Ribeiro Faissol Attux, João Marcos Travassos Romano
2009	—	`conf`	An ICA-Based Method for Blind Source Separation in Sparse Domains. ICA Everton Z. Nadalin, Ricardo Suyama, Romis Ribeiro Faissol Attux
2009	—	`conf`	Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism. ICA Diogo C. Soriano, Ricardo Suyama, Romis Ribeiro Faissol Attux
2009	—	`conf`	Blind Source Separation of Post-Nonlinear Mixtures Using Evolutionary Computation and Gaussianization. ICA Tiago M. Dias, Romis Ribeiro Faissol Attux, João Marcos Travassos Romano, Ricardo Suyama
2009	—	`conf`	Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System. ICA Cristina Wada, Douglas M. Consolaro, Rafael Ferrari, Ricardo Suyama, Romis Ribeiro Faissol Attux, Fernando J. Von Zuben
2009	J	`jnl`	Signal Processing Achievable rates of DSL with crosstalk cancellation. Eur. Trans. Telecommun. Danilo Zanatta-Filho, Renato Rocha Lopes, Rafael Ferrari, Murilo Bellezoni Loiola, Ricardo Suyama, G. C. C. P. Simões, Boris Dortschy
2008	—	`conf`	An empirical likelihood method for data aided channel identification in unknown noise field. EUSIPCO Frédéric Pascal, Jean-Pierre Barbot, Hugo Harari-Kermadec, Ricardo Suyama, Pascal Larzabal
2007	J	`jnl`	A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. EURASIP J. Adv. Signal Process. 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
2007	—	`conf`	A clustering-based method for DOA estimation in wireless communications. EUSIPCO Romis Attux, Ricardo Suyama, Rafael Ferrari, Cynthia Junqueira, Rafael Krummenauer, Pascal Larzabal, Amauri Lopes
2007	—	`conf`	Bit Loading for Precoded DSL Systems. ICASSP (3) Danilo Zanatta-Filho, Renato Rocha Lopes, Rafael Ferrari, Ricardo Suyama, Boris Dortschy
2007	—	`—`	Proposal of blind source separation methods for convolutive and nonlinear mixtures. Ricardo Suyama
2006	—	`conf`	Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. ICA Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano
2005	B	`conf`	Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis. IJCNN Clodoaldo Ap. M. Lima, Cynthia Junqueira, Ricardo Suyama, Fernando J. Von Zuben, João Marcos Travassos Romano
2003	J	`jnl`	Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model. EURASIP J. Adv. Signal Process. Romis Ribeiro Faissol Attux, Murilo Bellezoni Loiola, Ricardo Suyama, Leandro Nunes de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano