Leonardo Tomazeli Duarte

According to our database1, Leonardo Tomazeli Duarte authored at least 58 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Change Detection in UWB SAR Images Based on Robust Principal Component Analysis.
Remote. Sens., 2020

The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification.
Eur. J. Oper. Res., 2020

A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach.
CoRR, 2020

A multi-objective-based approach for Fair Principal Component Analysis.
CoRR, 2020

Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis.
CoRR, 2020

Dealing with missing information in data envelopment analysis by means of low-rank matrix completion.
Ann. Oper. Res., 2020

An Unsupervised Capacity Identification Approach Based on Sobol' Indices.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A second-order statistics method for blind source separation in post-nonlinear mixtures.
Signal Process., 2019

Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems.
Expert Syst. Appl., 2019

Application of multi-objective optimization to blind source separation.
Expert Syst. Appl., 2019

2018
A Novel Multicriteria Decision Aiding Method Based on Unsupervised Aggregation via the Choquet Integral.
IEEE Trans. Engineering Management, 2018

A Multi-Objective Approach for Post-Nonlinear Source Separation and Its Application to Ion-Selective Electrodes.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

A second-order blind source separation method for bilinear mixtures.
Multidimens. Syst. Signal Process., 2018

A UEP Method for Imaging Low-Orbit Satellites Based on CCSDS Recommendations.
IEEE Geosci. Remote. Sens. Lett., 2018

Rank-order principal components. A separation algorithm for ordinal data exploration.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

A Bayesian Blind Source Separation Method for a Linear-quadratic Model.
Proceedings of the 26th European Signal Processing Conference, 2018

Supervised Bayesian Source Separation of Nonlinear Mixtures for Quantitative Analysis of Gas Mixtures.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
On the Sparsity-Based Identification and Compensation of Hammerstein Systems.
IEEE Signal Process. Lett., 2017

Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

On Disjoint Component Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Z-Images.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
Blind source separation and feature extraction in concurrent control charts pattern recognition: Novel analyses and a comparison of different methods.
Comput. Ind. Eng., 2016

Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

A multi-objective approach for blind source extraction.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures.
Proceedings of the 24th European Signal Processing Conference, 2016

Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A blind source separation method for chemical sensor arrays based on a second order mixing model.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Source Separation in Chemical Analysis : Recent achievements and perspectives.
IEEE Signal Process. Mag., 2014

A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order.
Signal Process., 2014

Seismic signal processing: Some recent advances.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
An overview of signal processing issues in chemical sensing.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures.
IEEE Trans. Signal Process., 2012

Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation.
IEEE Signal Process. Mag., 2012

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Blind compensation of nonlinear distortions via sparsity recovery.
Proceedings of the 20th European Signal Processing Conference, 2012

Seismic wave separation by means of robust principal component analysis.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors.
J. Signal Process. Syst., 2011

An immune-inspired information-theoretic approach to the problem of ICA over a Galois field.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Signal recovery in PDM optical communication systems employing independent component analysis.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing.
Proceedings of the 19th European Signal Processing Conference, 2011

Multimodal optimization in the context of Sparse Component Analysis.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Multimedia, 2011

2010
Blind Extraction of Smooth Signals Based on a Second-Order Frequency Identification Algorithm.
IEEE Signal Process. Lett., 2010

Blind Extraction of Intermittent Sources.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Blind Extraction of the Sparsest Component.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Blind Source Separation of Overdetermined Linear-Quadratic Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008
A nonlinear source separation approach for the Nicolsky-Eisenman model.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures.
EURASIP J. Adv. Signal Process., 2007

Blind Source Separation of a Class of Nonlinear Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006


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