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2020 – today
- 2024
[j37]Renata Pelissari
, Sarah Ben Amor, Álvaro de Oliveira D'Antona, Eduardo José Marandola Júnior, Leonardo Tomazeli Duarte:
A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators. Ann. Oper. Res. 337(1): 235-260 (2024)- [j36]Guilherme Dean Pelegrina, Sajid Siraj, Leonardo Tomazeli Duarte, Michel Grabisch:
Explaining contributions of features towards unfairness in classifiers: A novel threshold-dependent Shapley value-based approach. Eng. Appl. Artif. Intell. 138: 109427 (2024) - [j35]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. Expert Syst. Appl. 255: 124803 (2024) - [j34]Lucas P. Ramos, Dimas Irion Alves, Leonardo Tomazeli Duarte, Renato B. Machado, Mats I. Pettersson, Viet Thuy Vu, Patrik B. G. Dammert:
Change Detection in Wavelength-Resolution SAR Image Stack Based on Tensor Robust PCA. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j33]Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte:
A Novel Approach for Fair Principal Component Analysis Based on Eigendecomposition. IEEE Trans. Artif. Intell. 5(3): 1195-1206 (2024) - [j32]Alvaro José Abackerli, Renata Pelissari, Leonardo Tomazeli Duarte:
Validation of a Maturity Model for Applied R&D: Adding Value to Business. IEEE Trans. Engineering Management 71: 6495-6511 (2024) - [c44]Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte:
A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning. FAccT 2024: 279-289 - [i9]Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano:
Multicriteria decision support employing adaptive prediction in a tensor-based feature representation. CoRR abs/2401.06868 (2024) - [i8]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 abs/2402.10122 (2024) - 2023
- [j31]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. Artif. Intell. 325: 104014 (2023) - [j30]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: 108915 (2023) - [j29]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: 52-56 (2023) - [j28]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: 878-882 (2023) - [j27]Lucas P. Ramos, Dimas Irion 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: 10124-10137 (2023) - [c43]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: 385-399 - [c42]Marcelo R. Romano, Leonardo Tomazeli Duarte, Leonardo Abdala Elias:
Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal. MLSP 2023: 1-6 - [i7]Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte:
A statistical approach to detect sensitive features in a group fairness setting. CoRR abs/2305.06994 (2023) - 2022
- [j26]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: 108727 (2022) - [j25]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: 108171 (2022) - [j24]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: 105462 (2022) - [j23]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: 115874 (2022) - [j22]Renata Pelissari, Leonardo Tomazeli Duarte:
SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation. Expert Syst. Appl. 207: 117898 (2022) - [j21]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): 3187-3217 (2022) - [c41]Renata Pelissari, Paulo 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: 535-549 - [c40]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: 1-8 - [c39]Renata Pelissari, Paulo 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 - [i6]Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte:
A novel approach for Fair Principal Component Analysis based on eigendecomposition. CoRR abs/2208.11362 (2022) - [i5]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 abs/2211.02166 (2022) - 2021
- [j20]Lucas P. Ramos, Alexandre Becker Campos, Christofer Schwartz, Leonardo Tomazeli Duarte, Dimas Irion 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): 833 (2021) - [c38]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: 29-34 - [c37]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: 156-160 - 2020
- [j19]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): 719-732 (2020) - [j18]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): 945-956 (2020) - [j17]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): 1916 (2020) - [c36]Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João M. T. Romano:
Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach. ICASSP 2020: 5435-5439 - [c35]Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano:
An Unsupervised Capacity Identification Approach Based on Sobol' Indices. MDAI 2020: 66-77 - [i4]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 abs/2002.02257 (2020) - [i3]Renata Pelissari, Leonardo Tomazeli Duarte:
Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis. CoRR abs/2003.12530 (2020) - [i2]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 abs/2006.06137 (2020) - [i1]Betania Silva Carneiro 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 abs/2010.11720 (2020)
2010 – 2019
- 2019
- [j16]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: 262-280 (2019) - [j15]Guilherme Dean Pelegrina, Romis Attux, Leonardo Tomazeli Duarte:
Application of multi-objective optimization to blind source separation. Expert Syst. Appl. 131: 60-70 (2019) - [j14]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: 63-72 (2019) - 2018
- [j13]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): 1770-1774 (2018) - [j12]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): 1153-1172 (2018) - [j11]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 65-II(12): 2067-2071 (2018) - [j10]Leonardo Tomazeli Duarte:
A Novel Multicriteria Decision Aiding Method Based on Unsupervised Aggregation via the Choquet Integral. IEEE Trans. Engineering Management 65(2): 293-302 (2018) - [c34]Stéphanie Madrolle, Leonardo Tomazeli Duarte, Pierre Grangeat, Christian Jutten:
Supervised Bayesian Source Separation of Nonlinear Mixtures for Quantitative Analysis of Gas Mixtures. EMBC 2018: 1230-1233 - [c33]Stéphanie Madrolle, Leonardo Tomazeli Duarte, Pierre Grangeat, Christian Jutten:
A Bayesian Blind Source Separation Method for a Linear-quadratic Model. EUSIPCO 2018: 1242-1246 - [c32]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: 193-203 - [c31]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: 568-577 - [c30]Vincent Vigneron, Leonardo Tomazeli Duarte:
Rank-order principal components. A separation algorithm for ordinal data exploration. IJCNN 2018: 1-6 - 2017
- [j9]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): 1363-1367 (2017) - [c29]Vincent Vigneron, Tahir Q. Syed, Leonardo Tomazeli Duarte, Elmar Wolfgang Lang, Sadaf I. Behlim, Ana Maria Tomé:
Z-Images. IbPRIA 2017: 177-184 - [c28]Vincent Vigneron, Leonardo Tomazeli Duarte:
Toward Rank Disaggregation: An Approach Based on Linear Programming and Latent Variable Analysis. LVA/ICA 2017: 192-200 - [c27]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: 300-309 - [c26]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: 499-508 - [c25]Kenji Nose Filho, Leonardo Tomazeli Duarte, João Marcos Travassos Romano:
On Disjoint Component Analysis. LVA/ICA 2017: 519-528 - 2016
- [j8]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: 105-114 (2016) - [c24]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: 1628-1632 - [c23]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: 2146-2150 - [c22]Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte:
A multi-objective approach for blind source extraction. SAM 2016: 1-5 - [c21]Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte, Ahmed Selloum:
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. MLSP 2016: 1-6 - 2015
- [c20]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: 933-937 - [c19]Yannick Deville, Leonardo Tomazeli Duarte:
An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures. LVA/ICA 2015: 155-167 - [c18]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: 176-183 - [c17]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: 312-319 - 2014
- [j7]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: 153-163 (2014) - [j6]Leonardo Tomazeli Duarte, Saïd Moussaoui, Christian Jutten:
Source Separation in Chemical Analysis : Recent achievements and perspectives. IEEE Signal Process. Mag. 31(3): 135-146 (2014) - [c16]Leonardo Tomazeli Duarte, Daniela Donno, Renato Rocha Lopes, João Marcos Travassos Romano:
Seismic signal processing: Some recent advances. ICASSP 2014: 2362-2366 - 2013
- [c15]Laurent Duval, Leonardo Tomazeli Duarte, Christian Jutten:
An overview of signal processing issues in chemical sensing. ICASSP 2013: 8742-8746 - 2012
- [j5]André K. Takahata, Everton Z. Nadalin, Rafael Ferrari, Leonardo Tomazeli Duarte, Ricardo Suyama, Renato Rocha 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): 27-35 (2012) - [j4]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): 5832-5844 (2012) - [c14]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: 1494-1498 - [c13]Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, Christian Jutten:
Blind compensation of nonlinear distortions via sparsity recovery. EUSIPCO 2012: 2362-2366 - [c12]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: 239-246 - 2011
- [j3]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): 311-323 (2011) - [c11]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: 85-91 - [c10]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: 1859-1863 - [c9]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: 641-644 - [c8]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: 618-622 - 2010
- [j2]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): 79-82 (2010) - [c7]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: 263-270 - [c6]Everton Z. Nadalin, André K. Takahata, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux:
Blind Extraction of the Sparsest Component. LVA/ICA 2010: 394-401 - [c5]Bertrand Rivet, Leonardo Tomazeli Duarte, Christian Jutten:
Blind Extraction of Intermittent Sources. LVA/ICA 2010: 402-409
2000 – 2009
- 2009
- [c4]Leonardo Tomazeli Duarte, Christian Jutten, Saïd Moussaoui:
Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method. ICA 2009: 662-669 - 2008
- [c3]Leonardo Tomazeli Duarte, Christian Jutten:
A nonlinear source separation approach for the Nicolsky-Eisenman model. EUSIPCO 2008: 1-5 - 2007
- [j1]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) - [c2]Leonardo Tomazeli Duarte, Christian Jutten:
Blind Source Separation of a Class of Nonlinear Mixtures. ICA 2007: 41-48 - 2006
- [c1]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: 66-73
Coauthor Index
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