Leonardo Tomazeli Duarte
Orcid: 0000-0003-0290-0080
According to our database1,
Leonardo Tomazeli Duarte
authored at least 82 papers
between 2006 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., March, 2024
IEEE Trans. Engineering Management, 2024
Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings.
CoRR, 2024
2023
A <i>k</i>-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning.
Artif. Intell., December, 2023
Multicriteria decision support employing adaptive prediction in a tensor-based feature representation.
Pattern Recognit. Lett., October, 2023
Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values.
IEEE Signal Process. Lett., 2023
CoRR, 2023
Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method.
Comput. Ind. Eng., 2023
Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making.
RAIRO Oper. Res., 2022
SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation.
Expert Syst. Appl., 2022
Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling.
Expert Syst. Appl., 2022
Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method.
Eng. Appl. Artif. Intell., 2022
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning.
CoRR, 2022
Dealing with redundancies among criteria in multicriteria decision making through independent component analysis.
Comput. Ind. Eng., 2022
Choquet capacity identification for multiple criteria sorting problems: A novel proposal based on Stochastic Acceptability Multicriteria Analysis.
Appl. Soft Comput., 2022
A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results.
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2022
The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
A Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis.
Remote. Sens., 2021
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Z-pooling**This research was supported by the program Cátedras Francesa do Estado de São Paulo, an initiative of the French consulate and the state of São Paulo (Brazil). The authors thank D. Fourer and I. Brahim for their contributions.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021
2020
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
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
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
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
Multidimens. Syst. Signal Process., 2018
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
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
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
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
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
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
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
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
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
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
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
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
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
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
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
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
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
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
EURASIP J. Adv. Signal Process., 2007
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