Denis Gustavo Fantinato
Denis Gustavo Fantinato
Assistant Professor at Federal University of ABC (UFABC)
E-mail confirmado em ufabc.edu.br - Página inicial
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A second-order statistics method for blind source separation in post-nonlinear mixtures
DG Fantinato, LT Duarte, Y Deville, R Attux, C Jutten, A Neves
Signal Processing 155, 63-72, 2019
122019
Multivariate PDF matching via kernel density estimation
DG Fantinato, L Boccato, R Attux, A Neves
2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and …, 2014
82014
Blind separation of convolutive mixtures over Galois fields
DG Fantinato, DG Silva, EZ Nadalin, R Attux, JMT Romano, A Neves, ...
2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013
72013
A novel entropy-based equalization performance measure and relations to lp-norm deconvolution
K Nose-Filho, DG Fantinato, R Attux, A Neves, JMT Romano
XXXI Simposio Brasileiro de Telecomunicacoes-SBrT2013, 1-4, 2013
72013
A joint second-order statistics and density matching-based approach for separation of post-nonlinear mixtures
DG Fantinato, LT Duarte, P Zanini, B Rivet, R Attux, C Jutten
International Conference on Latent Variable Analysis and Signal Separation …, 2017
62017
Gaussian processes for source separation in overdetermined bilinear mixtures
DG Fantinato, LT Duarte, B Rivet, B Ehsandoust, R Attux, C Jutten
International Conference on Latent Variable Analysis and Signal Separation …, 2017
62017
Blind deconvolution of correlated sources based on second-order statistics
DG Fantinato, R Attux, A Neves, R Suyama, JMT Romano
SBrT 2013, 2013
52013
Optimal linear filtering over a Galois field: equalization and prediction
D Fantinato, DG e Silva, R Attux, R Ferrari, L Tomazeli, RS Duarte, ...
Proceedings of V Enc. dos Alunos e Docentes do DCA, 2012
52012
Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures
DG Fantinato, LT Duarte, Y Deville, C Jutten, R Attux, A Neves
International Conference on Latent Variable Analysis and Signal Separation …, 2018
42018
Optimal time-series prediction over Galois fields
DG Fantinato, DG Silva, R Attux, R Ferrari, LT Duarte, R Suyama, A Neves, ...
Proceedings of III Simposio de Proces-samento de Sinais-UNICAMP, 2012
42012
Analysis of a novel density matching criterion within the ITL framework for blind channel equalization
DG Fantinato, A Neves, R Attux
Circuits, Systems, and Signal Processing 37 (1), 203-231, 2018
32018
Analysis of ITL criteria in the context of FIR channel equalization
L Boccato, DG Fantinato, DG Silva, R Ferrari, A Neves, R Attux
Journal of Communication and Information Systems 31 (1), 2016
32016
A comparative study of non-MSE criteria in nonlinear equalization
L Boccato, DG Silva, D Fantinato, R Ferrari, R Attux
2014 International Telecommunications Symposium (ITS), 1-5, 2014
32014
Two contributions derived from a polynomial formulation of the constant modulus criterion
DG Fantinato, R Attux, C de Sousa Jr, R Suyama, A Neves, JMT Romano
XXXI Simpósio Brasileiro de Telecomunicações-SBrT, 2013
32013
Error entropy criterion in echo state network training.
L Boccato, DG Silva, DG Fantinato, K Nose Filho, R Ferrari, R Attux, ...
ESANN, 2013
32013
Immune-inspired optimization with autocorrentropy function for blind inversion of wiener systems
SA Fernandez, DG Fantinato, J Montalvao, R Attux, DG Silva
2018 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2018
22018
Definição de equalizabilidade a partir de um limitante inferior para o critério do módulo constante
DG Fantinato, C de Souza Jr, RRF Attux, R Suyama, A Neves, ...
Simpósio de Processamento de Sinais-Unicamp, 2012
22012
A Quadratic Divergence-Based Independence Measure Applied to Linear-Quadratic Mixtures
DG Fantinato, RA Ando, A Neves, LT Duarte, C Jutten, R Attux
2
Data mining tool to discover DevOps trends from public repositories: Predicting Release Candidates with gthbmining. rc
DDR Barros, F Horita, DG Fantinato
Proceedings of the 34th Brazilian Symposium on Software Engineering, 658-663, 2020
12020
Artifact Removal in EEG based Emotional Signals through Linear and Nonlinear Methods
M Grilo, L Ribeiro, C Moraes, C Melo, D Fantinato, L Sampaio, A Neves, ...
2019 E-Health and Bioengineering Conference (EHB), 1-4, 2019
12019
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