Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. - Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Ribeiro Faissol Attux; Fernando J. Von Zuben; João Marcos Travassos Romano (ICA, 2006)

Blind Source Separation of a Class of Nonlinear Mixtures. - Leonardo Tomazeli Duarte; Christian Jutten (ICA, 2007)

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. - Ricardo Suyama; Leonardo Tomazeli Duarte; Rafael Ferrari; Leandro Elias Paiva Rangel; Romis Ribeiro Faissol Attux; Charles Casimiro Cavalcante; Fernando J. Von Zuben; João Marcos Travassos Romano (EURASIP J. Adv. Signal Process., 2007)

A nonlinear source separation approach for the Nicolsky-Eisenman model. - Leonardo Tomazeli Duarte; Christian Jutten (EUSIPCO, 2008)

Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method. - Leonardo Tomazeli Duarte; Christian Jutten; Saïd Moussaoui (ICA, 2009)

Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. - Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Ribeiro Faissol Attux; Yannick Deville; João Marcos Travassos Romano; Christian Jutten (LVA/ICA, 2010)

Blind Extraction of the Sparsest Component. - Everton Z. Nadalin; André K. Takahata; Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Ribeiro Faissol Attux (LVA/ICA, 2010)

Blind Extraction of Intermittent Sources. - Bertrand Rivet; Leonardo Tomazeli Duarte; Christian Jutten (LVA/ICA, 2010)

Blind Extraction of Smooth Signals Based on a Second-Order Frequency Identification Algorithm. - Leonardo Tomazeli Duarte; Bertrand Rivet; Christian Jutten (IEEE Signal Process. Lett., 2010)

Multimodal optimization in the context of Sparse Component Analysis. - Everton Z. Nadalin; Levy Boccato; Romis Attux; Leonardo Tomazeli Duarte; Amauri Lopes; João Marcos Travassos Romano; Ricardo Suyama (CIMSIVP, 2011)

Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. - Ines Meganem; Yannick Deville; Shahram Hosseini; Philippe Déliot; Xavier Briottet; Leonardo Tomazeli Duarte (EUSIPCO, 2011)

Signal recovery in PDM optical communication systems employing independent component analysis. - E. S. Rosa; Leonardo Tomazeli Duarte; João Marcos Travassos Romano; Ricardo Suyama (ISCAS, 2011)

An immune-inspired information-theoretic approach to the problem of ICA over a Galois field. - Daniel G. Silva; Romis Ribeiro Faissol Attux; Everton Z. Nadalin; Leonardo Tomazeli Duarte; Ricardo Suyama (ITW, 2011)

Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors. - Leonardo Tomazeli Duarte; Christian Jutten; Saïd Moussaoui (J. Signal Process. Syst., 2011)

Seismic wave separation by means of robust principal component analysis. - Leonardo Tomazeli Duarte; Everton Z. Nadalin; Kenji Nose Filho; Ricardo Antonio Zanetti; João M. T. Romano; Martin Tygel (EUSIPCO, 2012)

Blind compensation of nonlinear distortions via sparsity recovery. - Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Attux; João Marcos Travassos Romano; Christian Jutten (EUSIPCO, 2012)

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. - Leonardo Tomazeli Duarte; Rafael A. Ando; Romis Ribeiro Faissol Attux; Yannick Deville; Christian Jutten (LVA/ICA, 2012)

Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation. - André K. Takahata; Everton Z. Nadalin; Rafael Ferrari; Leonardo Tomazeli Duarte; Ricardo Suyama; Renato Rocha Lopes; João Marcos Travassos Romano; Martin Tygel (IEEE Signal Process. Mag., 2012)

Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures. - Leonardo Tomazeli Duarte; Ricardo Suyama; Bertrand Rivet; Romis Attux; João Marcos Travassos Romano; Christian Jutten (IEEE Trans. Signal Process., 2012)

An overview of signal processing issues in chemical sensing. - Laurent Duval; Leonardo Tomazeli Duarte; Christian Jutten (ICASSP, 2013)

Seismic signal processing: Some recent advances. - Leonardo Tomazeli Duarte; Daniela Donno; Renato Rocha Lopes; João Marcos Travassos Romano (ICASSP, 2014)

A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. - Daniel G. Silva; Everton Z. Nadalin; Guilherme Palermo Coelho; Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Attux; Fernando J. Von Zuben; Jugurta Montalvão (Signal Process., 2014)

Source Separation in Chemical Analysis : Recent achievements and perspectives. - Leonardo Tomazeli Duarte; Saïd Moussaoui; Christian Jutten (IEEE Signal Process. Mag., 2014)

A blind source separation method for chemical sensor arrays based on a second order mixing model. - Rafael A. Ando; Leonardo Tomazeli Duarte; Christian Jutten; Romis Attux (EUSIPCO, 2015)

Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation. - David Felice Falivene Baptista; Rafael A. Ando; Leonardo Tomazeli Duarte; Christian Jutten; Romis Ribeiro Faissol Attux (LVA/ICA, 2015)

An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures. - Yannick Deville; Leonardo Tomazeli Duarte (LVA/ICA, 2015)

Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks. - Leonardo Tomazeli Duarte; Filipe de Oliveira Pereira; Romis Attux; Ricardo Suyama; João M. T. Romano (LVA/ICA, 2015)

Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation. - Rafael Assato Ando; Christian Jutten; Bertrand Rivet; Romis Attux; Leonardo Tomazeli Duarte (EUSIPCO, 2016)

A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures. - Yves-Marie Batany; Daniela Donno; Leonardo Tomazeli Duarte; Hervé Chauris; Yannick Deville; João Marcos Travassos Romano (EUSIPCO, 2016)

A multi-objective approach for blind source extraction. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte (SAM, 2016)

Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. - Shahram Hosseini; Yannick Deville; Leonardo Tomazeli Duarte; Ahmed Selloum (MLSP, 2016)

Blind source separation and feature extraction in concurrent control charts pattern recognition: Novel analyses and a comparison of different methods. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; Christian Jutten (Comput. Ind. Eng., 2016)

Z-Images. - Vincent Vigneron; Tahir Q. Syed; Leonardo Tomazeli Duarte; Elmar Wolfgang Lang; Sadaf I. Behlim; Ana Maria Tomé (IbPRIA, 2017)

Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Bertrand Rivet; Bahram Ehsandoust; Romis Attux; Christian Jutten (LVA/ICA, 2017)

A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Paolo Zanini; Bertrand Rivet; Romis Attux; Christian Jutten (LVA/ICA, 2017)

On Disjoint Component Analysis. - Kenji Nose Filho; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (LVA/ICA, 2017)

Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis. - Vincent Vigneron; Leonardo Tomazeli Duarte (LVA/ICA, 2017)

On the Sparsity-Based Identification and Compensation of Hammerstein Systems. - Flávio R. Avila; Leonardo Tomazeli Duarte; Luiz W. P. Biscainho (IEEE Signal Process. Lett., 2017)

Supervised Bayesian Source Separation of Nonlinear Mixtures for Quantitative Analysis of Gas Mixtures. - Stéphanie Madrolle; Leonardo Tomazeli Duarte; Pierre Grangeat; Christian Jutten (EMBC, 2018)

A Bayesian Blind Source Separation Method for a Linear-quadratic Model. - Stéphanie Madrolle; Leonardo Tomazeli Duarte; Pierre Grangeat; Christian Jutten (EUSIPCO, 2018)

Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Yannick Deville; Christian Jutten; Romis Attux; Aline Neves (LVA/ICA, 2018)

Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (LVA/ICA, 2018)

Rank-order principal components. A separation algorithm for ordinal data exploration. - Vincent Vigneron; Leonardo Tomazeli Duarte (IJCNN, 2018)

A UEP Method for Imaging Low-Orbit Satellites Based on CCSDS Recommendations. - Christofer Schwartz; Cristiano Torezzan; Leonardo Tomazeli Duarte (IEEE Geosci. Remote. Sens. Lett., 2018)

A second-order blind source separation method for bilinear mixtures. - Lina Jarboui; Yannick Deville; Shahram Hosseini; Rima Guidara; Ahmed Ben Hamida; Leonardo Tomazeli Duarte (Multidimens. Syst. Signal Process., 2018)

A Multi-Objective Approach for Post-Nonlinear Source Separation and Its Application to Ion-Selective Electrodes. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

A Novel Multicriteria Decision Aiding Method Based on Unsupervised Aggregation via the Choquet Integral. - Leonardo Tomazeli Duarte (IEEE Trans. Engineering Management, 2018)

Application of multi-objective optimization to blind source separation. - Guilherme Dean Pelegrina; Romis Attux; Leonardo Tomazeli Duarte (Expert Syst. Appl., 2019)

Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (Expert Syst. Appl., 2019)

A second-order statistics method for blind source separation in post-nonlinear mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Yannick Deville; Romis Attux; Christian Jutten; Aline Neves (Signal Process., 2019)

Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach. - Betania S. C. Campello; Leonardo Tomazeli Duarte; João M. T. Romano (ICASSP, 2020)

An Unsupervised Capacity Identification Approach Based on Sobol' Indices. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; Michel Grabisch; João Marcos Travassos Romano (MDAI, 2020)

Dealing with missing information in data envelopment analysis by means of low-rank matrix completion. - Leonardo Tomazeli Duarte; Alex Pincelli Mussio; Cristiano Torezzan (Ann. Oper. Res., 2020)

Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis. - Renata Pelissari; Leonardo Tomazeli Duarte (CoRR, 2020)

A multi-objective-based approach for Fair Principal Component Analysis. - Guilherme Dean Pelegrina; Renan D. B. Brotto; Leonardo Tomazeli Duarte; João M. T. Romano; Romis Attux (CoRR, 2020)

A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach. - Betania S. C. Campello; Leonardo Tomazeli Duarte; João M. T. Romano (CoRR, 2020)

The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; Michel Grabisch; João Marcos Travassos Romano (Eur. J. Oper. Res., 2020)

Change Detection in UWB SAR Images Based on Robust Principal Component Analysis. - Christofer Schwartz; Lucas P. Ramos; Leonardo Tomazeli Duarte; Marcelo S. Pinho; Mats I. Pettersson; Viet Thuy Vu; Renato B. Machado (Remote. Sens., 2020)

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. - Vincent Vigneron; Leonardo Tomazeli Duarte; Hichem Maaref (SSD, 2021)

An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures. - Caroline P. A. Moraes; Juliana Saldanha; Aline Neves; Denis G. Fantinato; Romis Attux; Leonardo Tomazeli Duarte (SSP, 2021)

A Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis. - Lucas P. Ramos; Alexandre Becker Campos; Christofer Schwartz; Leonardo Tomazeli Duarte; Dimas Irion Alves; Mats I. Pettersson; Viet Thuy Vu; Renato B. Machado (Remote. Sens., 2021)

The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review. - Renata Pelissari; Paulo S. C. Alencar; Sarah Ben Amor; Leonardo Tomazeli Duarte (BRACIS (1), 2022)

Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization. - Guilherme Dean Pelegrina; Renan D. B. Brotto; Leonardo Tomazeli Duarte; Romis Attux; João M. T. Romano (IJCNN, 2022)

A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results. - Renata Pelissari; Paulo S. C. Alencar; Sarah Ben Amor; Leonardo Tomazeli Duarte (MORS@RecSys, 2022)

Choquet capacity identification for multiple criteria sorting problems: A novel proposal based on Stochastic Acceptability Multicriteria Analysis. - Renata Pelissari; Alvaro José Abackerli; Leonardo Tomazeli Duarte (Appl. Soft Comput., 2022)

Dealing with redundancies among criteria in multicriteria decision making through independent component analysis. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; Michel Grabisch; João Marcos Travassos Romano (Comput. Ind. Eng., 2022)

A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; Michel Grabisch (CoRR, 2022)

Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method. - Betania Silva Carneiro Campello; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (Eng. Appl. Artif. Intell., 2022)

Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling. - Henrique Evangelista de Oliveira; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (Expert Syst. Appl., 2022)

SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation. - Renata Pelissari; Leonardo Tomazeli Duarte (Expert Syst. Appl., 2022)

Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making. - Gabriel de Souza Amaro; Diego Jacinto Fiorotto; Washington Alves de Oliveira; Leonardo Tomazeli Duarte (RAIRO Oper. Res., 2022)

Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches. - Renata Pelissari; Betania S. C. Campello; Guilherme Dean Pelegrina; Ricardo Suyama; Leonardo Tomazeli Duarte (BRACIS (2), 2023)

Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal. - Marcelo R. Romano; Leonardo Tomazeli Duarte; Leonardo Abdala Elias (MLSP, 2023)

Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method. - Betania Silva Carneiro Campello; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (Comput. Ind. Eng., 2023)

A statistical approach to detect sensitive features in a group fairness setting. - Guilherme Dean Pelegrina; Miguel Couceiro; Leonardo Tomazeli Duarte (CoRR, 2023)

Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; Michel Grabisch (IEEE Signal Process. Lett., 2023)

Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery. - Lucas P. Ramos; Dimas Irion Alves; Leonardo Tomazeli Duarte; Mats I. Pettersson; Renato B. Machado (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation. - Betania Silva Carneiro Campello; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (Pattern Recognit. Lett., 2023)

A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte; Michel Grabisch (Artif. Intell., 2023)

Integrating Tensor-Based Data Analytics and Adaptive Prediction for Informed Decision-Making Support. - Betania S. C. Campello; Leonardo Tomazeli Duarte (BRACIS (3), 2024)

A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning. - Guilherme Dean Pelegrina; Miguel Couceiro; Leonardo Tomazeli Duarte (FAccT, 2024)

Hyperspectral Bilinear Endmember Spectra Extraction Using a New Shifting Multiplicative NMF Method. - Alejandra Inga Quezada; Leonardo Tomazeli Duarte; Yannick Deville; Fatima Zohra Benhalouche; Moussa Sofiane Karoui (WHISPERS, 2024)

Explaining contributions of features towards unfairness in classifiers: A novel threshold-dependent Shapley value-based approach. - Guilherme Dean Pelegrina; Sajid Siraj; Leonardo Tomazeli Duarte; Michel Grabisch (Eng. Appl. Artif. Intell., 2024)

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. - Betania Silva Carneiro Campello; Guilherme Dean Pelegrina; Renata Pelissari; Ricardo Suyama; Leonardo Tomazeli Duarte (Expert Syst. Appl., 2024)

Change Detection in Wavelength-Resolution SAR Image Stack Based on Tensor Robust PCA. - Lucas P. Ramos; Dimas Irion Alves; Leonardo Tomazeli Duarte; Renato B. Machado; Mats I. Pettersson; Viet Thuy Vu; Patrik B. G. Dammert (IEEE Geosci. Remote. Sens. Lett., 2024)

Validation of a Maturity Model for Applied R&D: Adding Value to Business. - Alvaro José Abackerli; Renata Pelissari; Leonardo Tomazeli Duarte (IEEE Trans. Engineering Management, 2024)

A Novel Approach for Fair Principal Component Analysis Based on Eigendecomposition. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte (IEEE Trans. Artif. Intell., 2024)

A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators. - Renata Pelissari; Sarah Ben Amor; Álvaro de Oliveira D'Antona; Eduardo José Marandola Júnior; Leonardo Tomazeli Duarte (Ann. Oper. Res., 2024)

A Novel Unsupervised Capacity Identification Approach to Deal With Redundant Criteria in Multicriteria Decision Making Problems. - Guilherme Dean Pelegrina; Leonardo Tomazeli Duarte (IEEE Trans. Fuzzy Syst., 2024)

Improving preference disaggregation in multicriteria decision making: Incorporating time series analysis and a multi-objective approach. - Betania Silva Carneiro Campello; Sarah Ben-Amor; Leonardo Tomazeli Duarte; João Marcos Travassos Romano (Inf. Sci., 2025)

A statistical approach to detect disparity prone features in a group fairness setting. - Guilherme Dean Pelegrina; Miguel Couceiro; Leonardo Tomazeli Duarte (AI Ethics, 2025)

Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy. - Renata Pelissari; Ricardo Suyama; Leonardo Tomazeli Duarte; Henrique N. Sá Earp (CoRR, 2025)