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)

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)

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

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)

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)

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)

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)

EvoMan: Game-playing Competition. - Fabrício Olivetti de França; Denis G. Fantinato; Karine Miras; A. E. Eiben; Patrícia Amâncio Vargas (CoRR, 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)

Data mining tool to discover DevOps trends from public repositories: Predicting Release Candidates with gthbmining.rc. - Daniel D. R. Barros; Flávio E. A. Horita; Denis G. Fantinato (SBES, 2020)

Playing Mega Man II with Neuroevolution. - Fernando Ishikawa; Leandro Z. Trovões; Leonardo Carmo; Fabrício Olivetti de França; Denis G. Fantinato (SSCI, 2020)

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)

Epanechnikov kernel for PDF estimation applied to equalization and blind source separation. - Caroline P. A. Moraes; Denis G. Fantinato; Aline Neves (Signal Process., 2021)

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)

A Novel Approach for Transfer Learning Motor Imagery Classification Based on IVA. - Caroline P. A. Moraes; Denis G. Fantinato; Aline Neves (EUSIPCO, 2023)

Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. - Caroline P. A. Moraes; Bruno Aristimunha; Lucas Heck Dos Santos; Walter Hugo Lopez Pinaya; Raphael Yokoingawa de Camargo; Denis G. Fantinato; Aline Neves (ICASSP, 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)

Artifact removal for emotion recognition using mutual information and Epanechnikov kernel. - Marcelo Grilo; Caroline P. A. Moraes; Bruno Fonseca Oliveira Coelho; Ana Beatriz R. Massaranduba; Denis G. Fantinato; Rodrigo Pereira Ramos; Aline Neves (Biomed. Signal Process. Control., 2023)

Vision Transformer MST++: Efficient Hyperspectral Skin Reconstruction. - Ana Clara C. Silveira; Diedre Santos do Carmo; Lucas H. Ueda; Denis G. Fantinato; Paula D. P. Costa; Letícia Rittner (ICASSP Workshops, 2024)

Independent Vector Analysis for Feature Extraction in Motor Imagery Classification. - Caroline P. A. Moraes; Lucas Heck Dos Santos; Denis G. Fantinato; Aline Neves; Tülay Adali (Sensors, 2024)