Daniel Guerreiro e Silva
Daniel Guerreiro e Silva
Assistant Professor at University of Brasília - UnB
E-mail confirmado em unb.br - Página inicial
TítuloCitado porAno
A simple approach for estimation of execution effort of functional test cases
D Silva, BT de Abreu, M Jino
Software Testing Verification and Validation, 2009. ICST'09. International …, 2009
28*2009
An immune-inspired information-theoretic approach to the problem of ICA over a Galois field
DG Silva, R Attux, EZ Nadalin, LT Duarte, R Suyama
Information Theory Workshop (ITW), 2011 IEEE, 618-622, 2011
212011
Machine learning methods and asymmetric cost function to estimate execution effort of software testing
DG Silva, M Jino, BT de Abreu
Software Testing, Verification and Validation (ICST), 2010 Third …, 2010
132010
An immune-inspired, information-theoretic framework for blind inversion of Wiener systems
DG Silva, J Montalvão, R Attux, LC Coradine
Signal Processing 113, 18-31, 2015
102015
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order
DG Silva, EZ Nadalin, GP Coelho, LT Duarte, R Suyama, R Attux, ...
Signal Processing 96, 153-163, 2014
102014
cobICA: A concentration-based, immune-inspired algorithm for ICA over Galois fields
DG Silva, J Montalvao, R Attux
2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and …, 2014
72014
A pragmatic entropy and differential entropy estimator for small datasets
J Montalvão, R Attux, D Silva
Journal of Communication and Information Systems 29 (1), 2014
72014
Simple entropy estimator for small datasets (Information and communications)
J Montalvão, DG Silva, R Attux
Electronics letters 48 (17), 1059-1061, 2012
72012
A 2‐stage biased‐randomized iterated local search for the uncapacitated single allocation p‐hub median problem
S Alvarez Fernandez, D Ferone, AA Juan, DG Silva, J de Armas
Transactions on Emerging Telecommunications Technologies 29 (9), e3418, 2018
62018
The modified MEXICO for ICA over finite fields
DG Silva, EZ Nadalin, J Montalvão, R Attux
Signal Processing 93 (9), 2525-2528, 2013
62013
Blind separation of convolutive mixtures over Galois fields
DG Fantinato, DG Silva, EZ Nadalin, R Attux, JMT Romano, A Neves, ...
Machine Learning for Signal Processing (MLSP), 2013 IEEE International …, 2013
62013
A modified version of the mexico algorithm for performing ica over galois fields
DG Silva, EZ Nadalin, R Attux, J Montalvão
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
42012
Optimal Linear Filtering over a Galois Field: Equalization and Prediction
D Fantinato, DG e Silva, R Attux, R Ferrari, L Tomazeli Duarte, R Suyama, ...
Encontro dos Alunos e Docentes do DCA (EADCA), 2012
42012
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
Aprendizado de máquina baseado na teoria da informação: contribuições à separação de sinais em corpos finitos e inversão de sistemas de Wiener
D Silva
[sn], 2013
3*2013
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
32012
Metaheuristics in Telecommunication Systems: Network Design, Routing, and Allocation Problems
SA Fernandez, AA Juan, J de Armas Adrián, DG e Silva, DR Terrén
IEEE Systems Journal, 1-10, 2018
22018
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
22014
Error entropy criterion in echo state network training.
L Boccato, DG Silva, DG Fantinato, K Nose Filho, R Ferrari, R Attux, ...
ESANN, 2013
22013
An Introduction to Information Theoretic Learning, Part II: Applications DOI: 10.14209/jcis. 2016.7
D Silva, D Fantinato, J Canuto, L Duarte, A Neves, R Suyama, ...
Journal of Communication and Information Systems 31 (1), 2016
12016
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