Leonardo Tomazeli Duarte

100 papers B 4C 1Misc 4Journal 52Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bias Mitigation in Machine Learning Models Trained on Structured Health Data: A Systematic Review. IEEE Access Lívia Ruback, Rodrigo Fortunato, Chiara Renso, Leonardo Tomazeli Duarte, Ariel Soares Teles
2026	—	`conf`	Consensus Ranking via Entropy-Based Multi-Objective Optimization: Application of Selection of Biomarker Candidates. BIOSTEC (1) J.-Ph. Conge, Vincent Vigneron, Hichem Maaref, Leonardo Tomazeli Duarte
2025	J	`jnl`	A statistical approach to detect disparity prone features in a group fairness setting. AI Ethics Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte
2025	J	`jnl`	Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy. CoRR Renata Pelissari, Ricardo Suyama, Leonardo Tomazeli Duarte, Henrique N. Sá Earp
2025	J	`jnl`	Improving preference disaggregation in multicriteria decision making: Incorporating time series analysis and a multi-objective approach. Inf. Sci. Betania Silva Carneiro Campello, Sarah Ben-Amor, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2025	—	`conf`	Integrating Adaptive Prediction with an Optimization-Based Methodology for Data-Driven Efficiency Evaluation in Education. MLSP Priscila C. Berbert Rampazzo, Damaris C. Vicentin, Leonardo Tomazeli Duarte, Gustavo H. Salati, Betania S. C. Campello
2025	J	`jnl`	Multi-criteria Decision Analysis as a tool for post-processing bias mitigation in machine learning algorithms. Comput. Ind. Eng. Guilherme Lima Correa, Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte
2024	J	`jnl`	A Novel Approach for Fair Principal Component Analysis Based on Eigendecomposition. IEEE Trans. Artif. Intell. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
2024	J	`jnl`	A Novel Unsupervised Capacity Identification Approach to Deal With Redundant Criteria in Multicriteria Decision Making Problems. IEEE Trans. Fuzzy Syst. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
2024	—	`conf`	A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning. FAccT Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte
2024	J	`jnl`	A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators. Ann. Oper. Res. Renata Pelissari, Sarah Ben Amor, Álvaro de Oliveira D'Antona, Eduardo José Marandola Júnior, Leonardo Tomazeli Duarte
2024	J	`jnl`	Change Detection in Wavelength-Resolution SAR Image Stack Based on Tensor Robust PCA. IEEE Geosci. Remote. Sens. Lett. Lucas P. Ramos, Dimas Irion Alves, Leonardo Tomazeli Duarte, Renato B. Machado, Mats I. Pettersson, Viet Thuy Vu, Patrik B. G. Dammert
2024	J	`jnl`	Explaining contributions of features towards unfairness in classifiers: A novel threshold-dependent Shapley value-based approach. Eng. Appl. Artif. Intell. Guilherme Dean Pelegrina, Sajid Siraj, Leonardo Tomazeli Duarte, Michel Grabisch
2024	—	`conf`	Hyperspectral Bilinear Endmember Spectra Extraction Using a New Shifting Multiplicative NMF Method. WHISPERS Alejandra Inga Quezada, Leonardo Tomazeli Duarte, Yannick Deville, Fatima Zohra Benhalouche, Moussa Sofiane Karoui
2024	—	`conf`	Integrating Tensor-Based Data Analytics and Adaptive Prediction for Informed Decision-Making Support. BRACIS (3) Betania S. C. Campello, Leonardo Tomazeli Duarte
2024	J	`jnl`	Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. CoRR Betania Silva Carneiro Campello, Guilherme Dean Pelegrina, Renata Pelissari, Ricardo Suyama, Leonardo Tomazeli Duarte
2024	J	`jnl`	Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. Expert Syst. Appl. Betania Silva Carneiro Campello, Guilherme Dean Pelegrina, Renata Pelissari, Ricardo Suyama, Leonardo Tomazeli Duarte
2024	J	`jnl`	Multicriteria decision support employing adaptive prediction in a tensor-based feature representation. CoRR Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2024	J	`jnl`	Validation of a Maturity Model for Applied R&D: Adding Value to Business. IEEE Trans. Engineering Management Alvaro José Abackerli, Renata Pelissari, Leonardo Tomazeli Duarte
2023	J	`jnl`	A Artif. Intell. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
2023	J	`jnl`	A statistical approach to detect sensitive features in a group fairness setting. CoRR Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte
2023	—	`conf`	Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches. BRACIS (2) Renata Pelissari, Betania S. C. Campello, Guilherme Dean Pelegrina, Ricardo Suyama, Leonardo Tomazeli Duarte
2023	J	`jnl`	Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method. Comput. Ind. Eng. Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2023	J	`jnl`	Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values. IEEE Signal Process. Lett. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
2023	J	`jnl`	Multicriteria decision support employing adaptive prediction in a tensor-based feature representation. Pattern Recognit. Lett. Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2023	J	`jnl`	Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lucas P. Ramos, Dimas Irion Alves, Leonardo Tomazeli Duarte, Mats I. Pettersson, Renato B. Machado
2023	—	`conf`	Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal. MLSP Marcelo R. Romano, Leonardo Tomazeli Duarte, Leonardo Abdala Elias
2022	—	`conf`	A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results. MORS@RecSys Renata Pelissari, Paulo S. C. Alencar, Sarah Ben Amor, Leonardo Tomazeli Duarte
2022	J	`jnl`	A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning. CoRR Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
2022	J	`jnl`	A novel approach for Fair Principal Component Analysis based on eigendecomposition. CoRR Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
2022	B	`conf`	Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization. IJCNN Guilherme Dean Pelegrina, Renan D. B. Brotto, Leonardo Tomazeli Duarte, Romis Attux, João M. T. Romano
2022	J	`jnl`	Choquet capacity identification for multiple criteria sorting problems: A novel proposal based on Stochastic Acceptability Multicriteria Analysis. Appl. Soft Comput. Renata Pelissari, Alvaro José Abackerli, Leonardo Tomazeli Duarte
2022	J	`jnl`	Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method. Eng. Appl. Artif. Intell. Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2022	J	`jnl`	Dealing with redundancies among criteria in multicriteria decision making through independent component analysis. Comput. Ind. Eng. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano
2022	J	`jnl`	Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making. RAIRO Oper. Res. Gabriel de Souza Amaro, Diego Jacinto Fiorotto, Washington Alves de Oliveira, Leonardo Tomazeli Duarte
2022	J	`jnl`	Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling. Expert Syst. Appl. Henrique Evangelista de Oliveira, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2022	J	`jnl`	SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation. Expert Syst. Appl. Renata Pelissari, Leonardo Tomazeli Duarte
2022	—	`conf`	The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review. BRACIS (1) Renata Pelissari, Paulo S. C. Alencar, Sarah Ben Amor, Leonardo Tomazeli Duarte
2021	J	`jnl`	A Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis. Remote. Sens. Lucas P. Ramos, Alexandre Becker Campos, Christofer Schwartz, Leonardo Tomazeli Duarte, Dimas Irion Alves, Mats I. Pettersson, Viet Thuy Vu, Renato B. Machado
2021	—	`conf`	An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures. SSP Caroline P. A. Moraes, Juliana Saldanha, Aline Neves, Denis G. Fantinato, Romis Attux, Leonardo Tomazeli Duarte
2021	—	`conf`	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. SSD Vincent Vigneron, Leonardo Tomazeli Duarte, Hichem Maaref
2020	J	`jnl`	A multi-objective-based approach for Fair Principal Component Analysis. CoRR Guilherme Dean Pelegrina, Renan D. B. Brotto, Leonardo Tomazeli Duarte, João M. T. Romano, Romis Attux
2020	J	`jnl`	A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach. CoRR Betania S. C. Campello, Leonardo Tomazeli Duarte, João M. T. Romano
2020	Misc	`conf`	Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach. ICASSP Betania S. C. Campello, Leonardo Tomazeli Duarte, João M. T. Romano
2020	B	`conf`	An Unsupervised Capacity Identification Approach Based on Sobol' Indices. MDAI Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano
2020	J	`jnl`	Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems. CoRR Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2020	J	`jnl`	Change Detection in UWB SAR Images Based on Robust Principal Component Analysis. Remote. Sens. Christofer Schwartz, Lucas P. Ramos, Leonardo Tomazeli Duarte, Marcelo S. Pinho, Mats I. Pettersson, Viet Thuy Vu, Renato B. Machado
2020	J	`jnl`	Dealing with missing information in data envelopment analysis by means of low-rank matrix completion. Ann. Oper. Res. Leonardo Tomazeli Duarte, Alex Pincelli Mussio, Cristiano Torezzan
2020	J	`jnl`	Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis. CoRR Renata Pelissari, Leonardo Tomazeli Duarte
2020	J	`jnl`	The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification. Eur. J. Oper. Res. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano
2019	J	`jnl`	A second-order statistics method for blind source separation in post-nonlinear mixtures. Signal Process. Denis G. Fantinato, Leonardo Tomazeli Duarte, Yannick Deville, Romis Attux, Christian Jutten, Aline Neves
2019	J	`jnl`	Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems. Expert Syst. Appl. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2019	J	`jnl`	Application of multi-objective optimization to blind source separation. Expert Syst. Appl. Guilherme Dean Pelegrina, Romis Attux, Leonardo Tomazeli Duarte
2018	—	`conf`	A Bayesian Blind Source Separation Method for a Linear-quadratic Model. EUSIPCO Stéphanie Madrolle, Leonardo Tomazeli Duarte, Pierre Grangeat, Christian Jutten
2018	J	`jnl`	A Multi-Objective Approach for Post-Nonlinear Source Separation and Its Application to Ion-Selective Electrodes. IEEE Trans. Circuits Syst. II Express Briefs Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
2018	J	`jnl`	A Novel Multicriteria Decision Aiding Method Based on Unsupervised Aggregation via the Choquet Integral. IEEE Trans. Engineering Management Leonardo Tomazeli Duarte
2018	J	`jnl`	A UEP Method for Imaging Low-Orbit Satellites Based on CCSDS Recommendations. IEEE Geosci. Remote. Sens. Lett. Christofer Schwartz, Cristiano Torezzan, Leonardo Tomazeli Duarte
2018	J	`jnl`	A second-order blind source separation method for bilinear mixtures. Multidimens. Syst. Signal Process. Lina Jarboui, Yannick Deville, Shahram Hosseini, Rima Guidara, Ahmed Ben Hamida, Leonardo Tomazeli Duarte
2018	—	`conf`	Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach. LVA/ICA Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2018	B	`conf`	Rank-order principal components. A separation algorithm for ordinal data exploration. IJCNN Vincent Vigneron, Leonardo Tomazeli Duarte
2018	—	`conf`	Supervised Bayesian Source Separation of Nonlinear Mixtures for Quantitative Analysis of Gas Mixtures. EMBC Stéphanie Madrolle, Leonardo Tomazeli Duarte, Pierre Grangeat, Christian Jutten
2018	—	`conf`	Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. LVA/ICA Denis G. Fantinato, Leonardo Tomazeli Duarte, Yannick Deville, Christian Jutten, Romis Attux, Aline Neves
2017	—	`conf`	A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures. LVA/ICA Denis G. Fantinato, Leonardo Tomazeli Duarte, Paolo Zanini, Bertrand Rivet, Romis Attux, Christian Jutten
2017	—	`conf`	Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures. LVA/ICA Denis G. Fantinato, Leonardo Tomazeli Duarte, Bertrand Rivet, Bahram Ehsandoust, Romis Attux, Christian Jutten
2017	—	`conf`	On Disjoint Component Analysis. LVA/ICA Kenji Nose Filho, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
2017	J	`jnl`	On the Sparsity-Based Identification and Compensation of Hammerstein Systems. IEEE Signal Process. Lett. Flávio R. Avila, Leonardo Tomazeli Duarte, Luiz W. P. Biscainho
2017	—	`conf`	Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis. LVA/ICA Vincent Vigneron, Leonardo Tomazeli Duarte
2017	Misc	`conf`	Z-Images. IbPRIA Vincent Vigneron, Tahir Q. Syed, Leonardo Tomazeli Duarte, Elmar Wolfgang Lang, Sadaf I. Behlim, Ana Maria Tomé
2016	—	`conf`	A multi-objective approach for blind source extraction. SAM Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
2016	—	`conf`	A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures. EUSIPCO Yves-Marie Batany, Daniela Donno, Leonardo Tomazeli Duarte, Hervé Chauris, Yannick Deville, João Marcos Travassos Romano
2016	J	`jnl`	Blind source separation and feature extraction in concurrent control charts pattern recognition: Novel analyses and a comparison of different methods. Comput. Ind. Eng. Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Christian Jutten
2016	—	`conf`	Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. MLSP Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte, Ahmed Selloum
2016	—	`conf`	Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation. EUSIPCO Rafael Assato Ando, Christian Jutten, Bertrand Rivet, Romis Attux, Leonardo Tomazeli Duarte
2015	—	`conf`	A blind source separation method for chemical sensor arrays based on a second order mixing model. EUSIPCO Rafael A. Ando, Leonardo Tomazeli Duarte, Christian Jutten, Romis Attux
2015	—	`conf`	An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures. LVA/ICA Yannick Deville, Leonardo Tomazeli Duarte
2015	—	`conf`	Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks. LVA/ICA Leonardo Tomazeli Duarte, Filipe de Oliveira Pereira, Romis Attux, Ricardo Suyama, João M. T. Romano
2015	—	`conf`	Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation. LVA/ICA David Felice Falivene Baptista, Rafael A. Ando, Leonardo Tomazeli Duarte, Christian Jutten, Romis Ribeiro Faissol Attux
2014	J	`jnl`	A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. Signal Process. Daniel G. Silva, Everton Z. Nadalin, Guilherme Palermo Coelho, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, Fernando J. Von Zuben, Jugurta Montalvão
2014	Misc	`conf`	Seismic signal processing: Some recent advances. ICASSP Leonardo Tomazeli Duarte, Daniela Donno, Renato Rocha Lopes, João Marcos Travassos Romano
2014	J	`jnl`	Source Separation in Chemical Analysis : Recent achievements and perspectives. IEEE Signal Process. Mag. Leonardo Tomazeli Duarte, Saïd Moussaoui, Christian Jutten
2013	Misc	`conf`	An overview of signal processing issues in chemical sensing. ICASSP Laurent Duval, Leonardo Tomazeli Duarte, Christian Jutten
2012	J	`jnl`	Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures. IEEE Trans. Signal Process. Leonardo Tomazeli Duarte, Ricardo Suyama, Bertrand Rivet, Romis Attux, João Marcos Travassos Romano, Christian Jutten
2012	—	`conf`	Blind compensation of nonlinear distortions via sparsity recovery. EUSIPCO Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, Christian Jutten
2012	—	`conf`	Seismic wave separation by means of robust principal component analysis. EUSIPCO Leonardo Tomazeli Duarte, Everton Z. Nadalin, Kenji Nose Filho, Ricardo Antonio Zanetti, João M. T. Romano, Martin Tygel
2012	—	`conf`	Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. LVA/ICA Leonardo Tomazeli Duarte, Rafael A. Ando, Romis Ribeiro Faissol Attux, Yannick Deville, Christian Jutten
2012	J	`jnl`	Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation. IEEE Signal Process. Mag. André K. Takahata, Everton Z. Nadalin, Rafael Ferrari, Leonardo Tomazeli Duarte, Ricardo Suyama, Renato Rocha Lopes, João Marcos Travassos Romano, Martin Tygel
2011	B	`conf`	An immune-inspired information-theoretic approach to the problem of ICA over a Galois field. ITW Daniel G. Silva, Romis Ribeiro Faissol Attux, Everton Z. Nadalin, Leonardo Tomazeli Duarte, Ricardo Suyama
2011	J	`jnl`	Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors. J. Signal Process. Syst. Leonardo Tomazeli Duarte, Christian Jutten, Saïd Moussaoui
2011	—	`conf`	Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. EUSIPCO Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet, Leonardo Tomazeli Duarte
2011	—	`conf`	Multimodal optimization in the context of Sparse Component Analysis. CIMSIVP Everton Z. Nadalin, Levy Boccato, Romis Attux, Leonardo Tomazeli Duarte, Amauri Lopes, João Marcos Travassos Romano, Ricardo Suyama
2011	C	`conf`	Signal recovery in PDM optical communication systems employing independent component analysis. ISCAS E. S. Rosa, Leonardo Tomazeli Duarte, João Marcos Travassos Romano, Ricardo Suyama
2010	—	`conf`	Blind Extraction of Intermittent Sources. LVA/ICA Bertrand Rivet, Leonardo Tomazeli Duarte, Christian Jutten
2010	J	`jnl`	Blind Extraction of Smooth Signals Based on a Second-Order Frequency Identification Algorithm. IEEE Signal Process. Lett. Leonardo Tomazeli Duarte, Bertrand Rivet, Christian Jutten
2010	—	`conf`	Blind Extraction of the Sparsest Component. LVA/ICA Everton Z. Nadalin, André K. Takahata, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux
2010	—	`conf`	Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. LVA/ICA Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux, Yannick Deville, João Marcos Travassos Romano, Christian Jutten
2009	—	`conf`	Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method. ICA Leonardo Tomazeli Duarte, Christian Jutten, Saïd Moussaoui
2008	—	`conf`	A nonlinear source separation approach for the Nicolsky-Eisenman model. EUSIPCO Leonardo Tomazeli Duarte, Christian Jutten
2007	J	`jnl`	A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. EURASIP J. Adv. Signal Process. 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
2007	—	`conf`	Blind Source Separation of a Class of Nonlinear Mixtures. ICA Leonardo Tomazeli Duarte, Christian Jutten
2006	—	`conf`	Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. ICA Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano