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Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

1, 2016

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Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems

Expert systems with applications, 2019-05, Vol.122, p.262-280

2019

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The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification

European journal of operational research, 2020-05, Vol.282 (3), p.945-956

2020

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Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings

2009 edition, 2009

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A Sparsity-Based Method for Blind Compensation of a Memoryless Nonlinear Distortion: Application to Ion-Selective Electrodes

IEEE sensors journal, 2015-04, Vol.15 (4), p.2054-2061

2015

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IEEE_Xplore

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation

Pattern recognition letters, 2023-10, Vol.174, p.52-56

2023

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Unsupervised Signal Processing: Channel Equalization and Source Separation

2018

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Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method

Engineering applications of artificial intelligence, 2022-11, Vol.116, p.105462, Article 105462

2022

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Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method

Computers & industrial engineering, 2023-01, Vol.175, p.108915, Article 108915

2023

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Transmission Power Control for Opportunistic QoS Provision in Wireless Networks

IEEE transactions on control systems technology, 2013-03, Vol.21 (2), p.315-331

2013

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IEEE_Xplore

Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling

Expert systems with applications, 2022-01, Vol.187, p.115874, Article 115874

2022

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Unsupervised Signal Processing: Channel Equalization and Source Separation

1, 2011

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Multiuser processing using blind source separation methods

European transactions on telecommunications, 2008-11, Vol.19 (7), p.827-836

2008

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An Unsupervised Capacity Identification Approach Based on Sobol’ Indices

Modeling Decisions for Artificial Intelligence, p.66-77

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Democratizando o acesso à tecnologia de monitoramento via IoT no agronegócio / Democratizing access to IoT monitoring technology in agribusiness

Brazilian Journal of Development, 2021-06, Vol.7 (6), p.55080-55086

2021

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A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

EURASIP journal on advances in signal processing, 2007-01, Vol.2007 (1), p.043860, Article 043860

2007

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Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach

Latent Variable Analysis and Signal Separation, p.568-577

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Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics

Independent Component Analysis and Blind Signal Separation, 2006, p.66-73

2006

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Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment

EURASIP Journal on Applied Signal Processing, 2005-06, Vol.2005 (9), p.1425-1434, Article 543701

2005

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Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

EURASIP Journal on Applied Signal Processing, 2003-12, Vol.2003 (8), p.460216-747, Article 460216

2003

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A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures

2016 24th European Signal Processing Conference (EUSIPCO), 2016, p.1628-1632

2016

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Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

EURASIP journal on advances in signal processing, 2003-07, Vol.2003 (8), p.740-747

2003

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A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

EURASIP journal on advances in signal processing, 2006-09, Vol.2007 (1), p.043860-043860

2006

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Overview of Tensor Decompositions with Applications to Communications

Signals and Images, 2016, p.355-386

2016

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Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings

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Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems

The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification

Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings

A Sparsity-Based Method for Blind Compensation of a Memoryless Nonlinear Distortion: Application to Ion-Selective Electrodes

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation

Unsupervised Signal Processing: Channel Equalization and Source Separation

Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method

Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method

Transmission Power Control for Opportunistic QoS Provision in Wireless Networks

Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling

Unsupervised Signal Processing: Channel Equalization and Source Separation

Multiuser processing using blind source separation methods

An Unsupervised Capacity Identification Approach Based on Sobol’ Indices

Democratizando o acesso à tecnologia de monitoramento via IoT no agronegócio / Democratizing access to IoT monitoring technology in agribusiness

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach

Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics

Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment

Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures

Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

Overview of Tensor Decompositions with Applications to Communications

Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings

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