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)

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)

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)

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)

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)

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)

Novas propostas e aplicações de redes neurais com estados de eco - Levy Boccato (2013)

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

Unorganized neural networks applied to streamflow forecasting of Passo Real hydroelectric plant. - Hugo Valadares Siqueira; Levy Boccato; Ivette Luna; Christiano Lyra (LA-CCI, 2016)

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)

Application of Extreme Learning Machines and Echo State Networks to Seismic Multiple Removal. - Heitor S. Carvalho; Farzin Shams; Rafael Ferrari; Levy Boccato (IJCNN, 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)

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

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)

A Frequency Learning Approach Based on the Hartley Transform for Texture Classification. - Natalia Gil Canto; José Augusto Stuchi; Levy Boccato (BRACIS (2), 2022)

A Study of Emergency Siren Recognition on Resource-Constrained Devices. - Davi Francisco Caetano dos Santos; Levy Boccato (BRACIS (2), 2022)

Analysis of the spatiotemporal MVDR filter applied to BCI-SSVEP and a filter bank extension. - Guilherme Vettorazzi Vargas; Sarah Negreiros de Carvalho; Levy Boccato (Biomed. Signal Process. Control., 2022)

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)

Comparing LIME and SHAP Global Explanations for Human Activity Recognition. - Patrick Alves; Jaime Delgado; Luis Gonzalez; Anderson R. Rocha 001; Levy Boccato; Edson Borin (BRACIS (3), 2024)

An Analysis of Time-Frequency Consistency in Human Activity Recognition. - Nícolas Hecker; Otávio O. Napoli; Jaime Delgado; Anderson R. Rocha 001; Levy Boccato; Edson Borin (BRACIS (3), 2024)

An Evaluation of Temporal Neighborhood Coding Variants in Smartphone-Based Human Activity Recognition. - Gustavo P. C. P. da Luz; Otávio O. Napoli; J. V. Delgado; Anderson R. Rocha 001; Levy Boccato; Edson Borin (BRACIS (3), 2024)

Impact of Pre-training Datasets on Human Activity Recognition with Contrastive Predictive Coding. - Betania E. R. da Silva; Otávio O. Napoli; J. V. Delgado; Anderson R. Rocha 001; Levy Boccato; Edson Borin (BRACIS (3), 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)

Improved segmentation under extreme imbalance towards full background images. - Eduardo Rocha de Andrade; Levy Boccato (Expert Syst. Appl., 2024)

A coincidence detection perspective for the maximum mean discrepancy. - Jugurta Montalvão; Dami Duarte; Levy Boccato (Pattern Recognit. Lett., 2024)

DAGHAR: A Benchmark for Domain Adaptation and Generalization in Smartphone-Based Human Activity Recognition. - Otávio Oliveira Napoli; Dami Duarte; Patrick Alves; Darlinne Hubert Palo Soto; Henrique Evangelista de Oliveira; Anderson Rocha 001; Levy Boccato; Edson Borin (Zenodo, 2024)

DAGHAR: A Benchmark for Domain Adaptation and Generalization in Smartphone-Based Human Activity Recognition. - Otávio Oliveira Napoli; Dami Duarte; Patrick Alves; Darlinne Hubert Palo Soto; Henrique Evangelista de Oliveira; Anderson Rocha 001; Levy Boccato; Edson Borin (Zenodo, 2024)