Leonardo Tomazeli Duarte

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 60

Top Topics

Source Separation

Top Venues

Expert Syst. Appl.

Publications

Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Multicriteria decision support employing adaptive prediction in a tensor-based feature representation. CoRR (2024)
Betania Silva Carneiro Campello, Guilherme Dean Pelegrina, Renata Pelissari, Ricardo Suyama, Leonardo Tomazeli Duarte
Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings. CoRR (2024)
Renata Pelissari, Betania Silva Carneiro Campello, Guilherme Dean Pelegrina, Ricardo Suyama, Leonardo Tomazeli Duarte
Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches. BRACIS (2) (2023)
Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte
A statistical approach to detect sensitive features in a group fairness setting. CoRR (2023)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values. IEEE Signal Process. Lett. 30 (2023)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning. Artif. Intell. 325 (2023)
Lucas P. Ramos, Dimas I. Alves, Leonardo Tomazeli Duarte, Mats I. Pettersson, Renato B. Machado
Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method. Comput. Ind. Eng. 175 (2023)
Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Multicriteria decision support employing adaptive prediction in a tensor-based feature representation. Pattern Recognit. Lett. 174 (2023)
Marcelo R. Romano, Leonardo Tomazeli Duarte, Leonardo Abdala Elias
Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal. MLSP (2023)
Henrique Evangelista de Oliveira, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling. Expert Syst. Appl. 187 (2022)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning. CoRR (2022)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
A novel approach for Fair Principal Component Analysis based on eigendecomposition. CoRR (2022)
Renata Pelissari, Paulos S. C. Alencar, Sarah Ben Amor, Leonardo Tomazeli Duarte
The Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: A Literature Review. BRACIS (1) (2022)
Renata Pelissari, Alvaro José Abackerli, Leonardo Tomazeli Duarte
Choquet capacity identification for multiple criteria sorting problems: A novel proposal based on Stochastic Acceptability Multicriteria Analysis. Appl. Soft Comput. 120 (2022)
Gabriel de Souza Amaro, Diego Jacinto Fiorotto, Washington Alves de Oliveira, Leonardo Tomazeli Duarte
Evaluating process flexibility in lot sizing problems: an approach based on multicriteria decision making. RAIRO Oper. Res. 56 (4) (2022)
Renata Pelissari, Paulos S. C. Alencar, Sarah Ben Amor, Leonardo Tomazeli Duarte
A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results. MORS@RecSys (2022)
Guilherme Dean Pelegrina, Renan D. B. Brotto, Leonardo Tomazeli Duarte, Romis Attux, João M. T. Romano
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization. IJCNN (2022)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano
Dealing with redundancies among criteria in multicriteria decision making through independent component analysis. Comput. Ind. Eng. 169 (2022)
Renata Pelissari, Leonardo Tomazeli Duarte
SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation. Expert Syst. Appl. 207 (2022)
Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method. Eng. Appl. Artif. Intell. 116 (2022)
Vincent Vigneron, Leonardo Tomazeli Duarte, Hichem Maaref
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 (2021)
Caroline P. A. Moraes, Juliana Saldanha, Aline Neves, Denis G. Fantinato, Romis Attux, Leonardo Tomazeli Duarte
An SOS-Based Algorithm for Source Separation in Nonlinear Mixtures. SSP (2021)
Lucas P. Ramos, Alexandre Becker Campos, Christofer Schwartz, Leonardo Tomazeli Duarte, Dimas I. Alves, Mats I. Pettersson, Viet Thuy Vu, Renato B. Machado
A Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis. Remote. Sens. 13 (5) (2021)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano
An Unsupervised Capacity Identification Approach Based on Sobol' Indices. MDAI (2020)
Betania S. C. Campello, Leonardo Tomazeli Duarte, João M. T. Romano
A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach. CoRR (2020)
Betania S. C. Campello, Leonardo Tomazeli Duarte, João M. T. Romano
Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach. ICASSP (2020)
Guilherme Dean Pelegrina, Renan D. B. Brotto, Leonardo Tomazeli Duarte, João M. T. Romano, Romis Attux
A multi-objective-based approach for Fair Principal Component Analysis. CoRR (2020)
Renata Pelissari, Leonardo Tomazeli Duarte
Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis. CoRR (2020)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems. CoRR (2020)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano
The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification. Eur. J. Oper. Res. 282 (3) (2020)
Leonardo Tomazeli Duarte, Alex Pincelli Mussio, Cristiano Torezzan
Dealing with missing information in data envelopment analysis by means of low-rank matrix completion. Ann. Oper. Res. 286 (1) (2020)
Christofer Schwartz, Lucas P. Ramos, Leonardo Tomazeli Duarte, Marcelo S. Pinho, Mats I. Pettersson, Viet Thuy Vu, Renato B. Machado
Change Detection in UWB SAR Images Based on Robust Principal Component Analysis. Remote. Sens. 12 (12) (2020)
Guilherme Dean Pelegrina, Romis Attux, Leonardo Tomazeli Duarte
Application of multi-objective optimization to blind source separation. Expert Syst. Appl. 131 (2019)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems. Expert Syst. Appl. 122 (2019)
Denis G. Fantinato, Leonardo Tomazeli Duarte, Yannick Deville, Romis Attux, Christian Jutten, Aline Neves
A second-order statistics method for blind source separation in post-nonlinear mixtures. Signal Process. 155 (2019)
Stéphanie Madrolle, Leonardo Tomazeli Duarte, Pierre Grangeat, Christian Jutten
Supervised Bayesian Source Separation of Nonlinear Mixtures for Quantitative Analysis of Gas Mixtures. EMBC (2018)
Vincent Vigneron, Leonardo Tomazeli Duarte
Rank-order principal components. A separation algorithm for ordinal data exploration. IJCNN (2018)
Stéphanie Madrolle, Leonardo Tomazeli Duarte, Pierre Grangeat, Christian Jutten
A Bayesian Blind Source Separation Method for a Linear-quadratic Model. EUSIPCO (2018)
Christofer Schwartz, Cristiano Torezzan, Leonardo Tomazeli Duarte
A UEP Method for Imaging Low-Orbit Satellites Based on CCSDS Recommendations. IEEE Geosci. Remote. Sens. Lett. 15 (11) (2018)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach. LVA/ICA (2018)
Denis G. Fantinato, Leonardo Tomazeli Duarte, Yannick Deville, Christian Jutten, Romis Attux, Aline Neves
Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. LVA/ICA (2018)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
A Multi-Objective Approach for Post-Nonlinear Source Separation and Its Application to Ion-Selective Electrodes. IEEE Trans. Circuits Syst. II Express Briefs (12) (2018)
Lina Jarboui, Yannick Deville, Shahram Hosseini, Rima Guidara, Ahmed Ben Hamida, Leonardo Tomazeli Duarte
A second-order blind source separation method for bilinear mixtures. Multidimens. Syst. Signal Process. 29 (3) (2018)
Leonardo Tomazeli Duarte
A Novel Multicriteria Decision Aiding Method Based on Unsupervised Aggregation via the Choquet Integral. IEEE Trans. Engineering Management 65 (2) (2018)
Denis G. Fantinato, Leonardo Tomazeli Duarte, Bertrand Rivet, Bahram Ehsandoust, Romis Attux, Christian Jutten
Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures. LVA/ICA (2017)
Kenji Nose Filho, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
On Disjoint Component Analysis. LVA/ICA (2017)
Vincent Vigneron, Leonardo Tomazeli Duarte
Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis. LVA/ICA (2017)
Flávio R. Avila, Leonardo Tomazeli Duarte, Luiz W. P. Biscainho
On the Sparsity-Based Identification and Compensation of Hammerstein Systems. IEEE Signal Process. Lett. 24 (9) (2017)
Vincent Vigneron, Tahir Q. Syed, Leonardo Tomazeli Duarte, Elmar Wolfgang Lang, Sadaf I. Behlim, Ana Maria Tomé
Z-Images. IbPRIA (2017)
Denis G. Fantinato, Leonardo Tomazeli Duarte, Paolo Zanini, Bertrand Rivet, Romis Attux, Christian Jutten
A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures. LVA/ICA (2017)
Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte, Ahmed Selloum
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. MLSP (2016)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Christian Jutten
Blind source separation and feature extraction in concurrent control charts pattern recognition: Novel analyses and a comparison of different methods. Comput. Ind. Eng. 92 (2016)
Yves-Marie Batany, Daniela Donno, Leonardo Tomazeli Duarte, Hervé Chauris, Yannick Deville, João Marcos Travassos Romano
A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures. EUSIPCO (2016)
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
A multi-objective approach for blind source extraction. SAM (2016)
Rafael Assato Ando, Christian Jutten, Bertrand Rivet, Romis Attux, Leonardo Tomazeli Duarte
Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation. EUSIPCO (2016)
David Felice Falivene Baptista, Rafael A. Ando, Leonardo Tomazeli Duarte, Christian Jutten, Romis Ribeiro Faissol Attux
Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation. LVA/ICA (2015)
Leonardo Tomazeli Duarte, Filipe de Oliveira Pereira, Romis Attux, Ricardo Suyama, João M. T. Romano
Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks. LVA/ICA (2015)
Yannick Deville, Leonardo Tomazeli Duarte
An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures. LVA/ICA (2015)
Rafael A. Ando, Leonardo Tomazeli Duarte, Christian Jutten, Romis Attux
A blind source separation method for chemical sensor arrays based on a second order mixing model. EUSIPCO (2015)
Leonardo Tomazeli Duarte, Saïd Moussaoui, Christian Jutten
Source Separation in Chemical Analysis : Recent achievements and perspectives. IEEE Signal Process. Mag. 31 (3) (2014)
Daniel G. Silva, Everton Z. Nadalin, Guilherme Palermo Coelho, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, Fernando J. Von Zuben, Jugurta Montalvão
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. Signal Process. 96 (2014)
Leonardo Tomazeli Duarte, Daniela Donno, Renato R. Lopes, João Marcos Travassos Romano
Seismic signal processing: Some recent advances. ICASSP (2014)
Laurent Duval, Leonardo Tomazeli Duarte, Christian Jutten
An overview of signal processing issues in chemical sensing. ICASSP (2013)
Leonardo Tomazeli Duarte, Rafael A. Ando, Romis Ribeiro Faissol Attux, Yannick Deville, Christian Jutten
Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. LVA/ICA (2012)
Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, Christian Jutten
Blind compensation of nonlinear distortions via sparsity recovery. EUSIPCO (2012)
Leonardo Tomazeli Duarte, Ricardo Suyama, Bertrand Rivet, Romis Attux, João Marcos Travassos Romano, Christian Jutten
Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures. IEEE Trans. Signal Process. 60 (11) (2012)
André K. Takahata, Everton Z. Nadalin, Rafael Ferrari, Leonardo Tomazeli Duarte, Ricardo Suyama, Renato R. Lopes, João Marcos Travassos Romano, Martin Tygel
Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation. IEEE Signal Process. Mag. 29 (4) (2012)
Leonardo Tomazeli Duarte, Everton Z. Nadalin, Kenji Nose Filho, Ricardo Antonio Zanetti, João M. T. Romano, Martin Tygel
Seismic wave separation by means of robust principal component analysis. EUSIPCO (2012)
Leonardo Tomazeli Duarte, Christian Jutten, Saïd Moussaoui
Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors. J. Signal Process. Syst. 65 (3) (2011)
Everton Z. Nadalin, Levy Boccato, Romis Attux, Leonardo Tomazeli Duarte, Amauri Lopes, João Marcos Travassos Romano, Ricardo Suyama
Multimodal optimization in the context of Sparse Component Analysis. CIMSIVP (2011)
E. S. Rosa, Leonardo Tomazeli Duarte, João Marcos Travassos Romano, Ricardo Suyama
Signal recovery in PDM optical communication systems employing independent component analysis. ISCAS (2011)
Daniel G. Silva, Romis Ribeiro Faissol Attux, Everton Z. Nadalin, Leonardo Tomazeli Duarte, Ricardo Suyama
An immune-inspired information-theoretic approach to the problem of ICA over a Galois field. ITW (2011)
Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet, Leonardo Tomazeli Duarte
Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. EUSIPCO (2011)
Leonardo Tomazeli Duarte, Bertrand Rivet, Christian Jutten
Blind Extraction of Smooth Signals Based on a Second-Order Frequency Identification Algorithm. IEEE Signal Process. Lett. 17 (1) (2010)
Everton Z. Nadalin, André K. Takahata, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux
Blind Extraction of the Sparsest Component. LVA/ICA (2010)
Bertrand Rivet, Leonardo Tomazeli Duarte, Christian Jutten
Blind Extraction of Intermittent Sources. LVA/ICA (2010)
Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux, Yannick Deville, João Marcos Travassos Romano, Christian Jutten
Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. LVA/ICA (2010)
Leonardo Tomazeli Duarte, Christian Jutten, Saïd Moussaoui
Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method. ICA (2009)
Leonardo Tomazeli Duarte, Christian Jutten
A nonlinear source separation approach for the Nicolsky-Eisenman model. EUSIPCO (2008)
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
A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. EURASIP J. Adv. Signal Process. 2007 (2007)
Leonardo Tomazeli Duarte, Christian Jutten
Blind Source Separation of a Class of Nonlinear Mixtures. ICA (2007)
Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano
Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. ICA (2006)