Guilherme Dean Pelegrina

29 papers A* 1B 2Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Shapley Value Approximation Based on k-Additive Games.
AAAI
Guilherme Dean Pelegrina, Patrick Kolpaczki, Eyke Hüllermeier
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
Shapley Value Approximation Based on k-Additive Games.
CoRR
Guilherme Dean Pelegrina, Patrick Kolpaczki, Eyke Hüllermeier
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
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 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
Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers.
IEEE Trans. Artif. Intell.
Guilherme Dean Pelegrina, Sajid Siraj
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
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
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
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
Shapley value-based approaches to explain the robustness of classifiers in machine learning.
CoRR
Guilherme Dean Pelegrina, Sajid Siraj
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 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
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
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 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 — 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
2016 — conf
A multi-objective approach for blind source extraction.
SAM
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
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