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ORCIDGuilherme Dean Pelegrina
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2020 – today
- 2024
[j12]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)- [j11]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) - [j10]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) - [j9]Guilherme Dean Pelegrina, Sajid Siraj:
Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers. IEEE Trans. Artif. Intell. 5(8): 4217-4231 (2024) - [c6]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 - [i7]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
- [j8]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) - [j7]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) - [c5]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 - [i6]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
- [j6]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) - [c4]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 - [i5]Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte:
A novel approach for Fair Principal Component Analysis based on eigendecomposition. CoRR abs/2208.11362 (2022) - [i4]Guilherme Dean Pelegrina, Sajid Siraj:
Shapley value-based approaches to explain the robustness of classifiers in machine learning. CoRR abs/2209.04254 (2022) - [i3]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) - 2020
- [j5]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) - [c3]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 - [i2]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) - [i1]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)
2010 – 2019
- 2019
- [j4]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) - [j3]Guilherme Dean Pelegrina, Romis Attux, Leonardo Tomazeli Duarte:
Application of multi-objective optimization to blind source separation. Expert Syst. Appl. 131: 60-70 (2019) - 2018
- [j2]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) - [c2]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 - 2016
- [j1]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) - [c1]Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte:
A multi-objective approach for blind source extraction. SAM 2016: 1-5
Coauthor Index
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