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

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)

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)

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)

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

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)

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)

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)

Shapley value-based approaches to explain the robustness of classifiers in machine learning. - Guilherme Dean Pelegrina; Sajid Siraj (CoRR, 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)

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)

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)

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)

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)

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)

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

Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers. - Guilherme Dean Pelegrina; Sajid Siraj (IEEE Trans. Artif. Intell., 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)

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

Shapley Value Approximation Based on k-Additive Games. - Guilherme Dean Pelegrina; Patrick Kolpaczki; Eyke Hüllermeier (CoRR, 2025)