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Denis G. Fantinato
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2020 – today
- 2024
- [j7]Caroline P. A. Moraes
, Lucas Heck Dos Santos
Independent Vector Analysis for Feature Extraction in Motor Imagery Classification. Sensors 24(16): 5428 (2024) - [c15]Ana Clara C. Silveira, Diedre Santos do Carmo, Lucas H. Ueda, Denis G. Fantinato, Paula D. P. Costa, Letícia Rittner:
Vision Transformer MST++: Efficient Hyperspectral Skin Reconstruction. ICASSP Workshops 2024: 51-52 - 2023
- [j6]Marcelo Grilo, Caroline P. A. Moraes
Artifact removal for emotion recognition using mutual information and Epanechnikov kernel. Biomed. Signal Process. Control. 83: 104677 (2023) - [j5]Patrick Oliveira de Paula
Classification of image encoded SSVEP-based EEG signals using Convolutional Neural Networks. Expert Syst. Appl. 214: 119096 (2023) - [c14]Caroline P. A. Moraes, Denis G. Fantinato, Aline Neves:
A Novel Approach for Transfer Learning Motor Imagery Classification Based on IVA. EUSIPCO 2023: 1210-1214 - [c13]Caroline P. A. Moraes
Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. ICASSP 2023: 1-5 - 2022
- [j4]Lucas Gois
Relationship Between Criteria Based on Correntropy and Second Order Statistics for Equalization of Communication Channels. IEEE Signal Process. Lett. 29: 1317-1321 (2022) - 2021
- [j3]Caroline P. A. Moraes
Epanechnikov kernel for PDF estimation applied to equalization and blind source separation. Signal Process. 189: 108251 (2021) - [c12]Caroline P. A. Moraes
An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures. SSP 2021: 156-160 - 2020
- [c11]Daniel D. R. Barros, Flávio E. A. Horita, Denis G. Fantinato:
Data mining tool to discover DevOps trends from public repositories: Predicting Release Candidates with gthbmining.rc. SBES 2020: 658-663 - [c10]Fernando Ishikawa, Leandro Z. Trovões, Leonardo Carmo, Fabrício Olivetti de França, Denis G. Fantinato:
Playing Mega Man II with Neuroevolution. SSCI 2020: 2359-2364
2010 – 2019
- 2019
- [j2]Denis G. Fantinato
A second-order statistics method for blind source separation in post-nonlinear mixtures. Signal Process. 155: 63-72 (2019) - [i1]Fabrício Olivetti de França, Denis G. Fantinato, Karine Miras, A. E. Eiben, Patrícia Amâncio Vargas
EvoMan: Game-playing Competition. CoRR abs/1912.10445 (2019) - 2018
- [j1]Denis G. Fantinato
Analysis of a Novel Density Matching Criterion Within the ITL Framework for Blind Channel Equalization. Circuits Syst. Signal Process. 37(1): 203-231 (2018) - [c9]Stephanie Alvarez Fernandez, Denis G. Fantinato, Jugurta R. Montalvão Filho, Romis Attux, Daniel G. Silva
Immune-Inspired Optimization with Autocorrentropy Function for Blind Inversion of Wiener Systems. CEC 2018: 1-7 - [c8]Denis G. Fantinato, Leonardo Tomazeli Duarte
Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. LVA/ICA 2018: 193-203 - 2017
- [c7]Denis G. Fantinato, Leonardo Tomazeli Duarte
Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures. LVA/ICA 2017: 300-309 - [c6]Denis G. Fantinato, Leonardo Tomazeli Duarte
A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures. LVA/ICA 2017: 499-508 - [c5]Denis G. Fantinato, Aline Neves
Blind channel equalization of encoded data over galois fields. MLSP 2017: 1-6 - 2016
- [c4]Stephanie Alvarez Fernandez, Romis Attux, Denis G. Fantinato, Jugurta Montalvão, Daniel G. Silva:
An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems. ESANN 2016 - 2014
- [c3]Denis G. Fantinato, Levy Boccato
Multivariate PDF matching via kernel density estimation. CIMSIVP 2014: 150-157 - 2013
- [c2]Levy Boccato, Daniel G. Silva, Denis G. Fantinato, Kenji Nose Filho, Rafael Ferrari, Romis Attux, Aline Neves, Jugurta Montalvão, João Marcos Travassos Romano:
Error entropy criterion in echo state network training. ESANN 2013 - [c1]Denis G. Fantinato, Daniel G. Silva
Blind separation of convolutive mixtures over Galois fields. MLSP 2013: 1-6
Coauthor Index
aka: Romis Attux
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last updated on 2024-10-07 21:23 CEST by the dblp team
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