Denis G. Fantinato

According to our database, Denis G. Fantinato authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., May, 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

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

Proceedings of the IEEE International Conference on Acoustics, 2023

A Novel Approach for Transfer Learning Motor Imagery Classification Based on IVA.

Caroline P. A. Moraes, Denis G. Fantinato, Aline Neves

Proceedings of the 31st European Signal Processing Conference, 2023

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

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

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

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020

Playing Mega Man II with Neuroevolution.

Fernando Ishikawa, Leandro Z. Trovões, Leonardo Carmo, Fabrício Olivetti de França, Denis G. Fantinato

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

Proceedings of the 34th Brazilian Symposium on Software Engineering, 2020

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

EvoMan: Game-playing Competition.

Fabrício Olivetti de França, Denis G. Fantinato, Karine Miras, A. E. Eiben, Patrícia Amâncio Vargas

CoRR, 2019

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

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

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

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

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Blind channel equalization of encoded data over galois fields.

Denis G. Fantinato, Aline Neves, Daniel G. Silva, Romis Attux

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 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

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures.

Denis G. Fantinato, Leonardo Tomazeli Duarte, Bertrand Rivet, Bahram Ehsandoust, Romis Attux, Christian Jutten

Proceedings of the Latent Variable Analysis and Signal Separation, 2017

2016

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

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2014

Multivariate PDF matching via kernel density estimation.

Denis G. Fantinato, Levy Boccato, Romis Attux, Aline Neves

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

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

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 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

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013