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Guilherme Dean Pelegrina

Observed names: Dean Pelegrina Guilherme, Dean Pelegrina, Guilherme, GUILHERME DEAN PELEGRINA, Guilherme Dean Pelegrina, Guilherme D. Pelegrina, Guilherme Pelegrina, Pelegrina, Guilherme, Pelegrina, Guilherme Dean
Observed institutions: University of Leeds, Universidade Estadual de Campinas (UNICAMP), Universidade Presbiteriana Mackenzie, Sorbonne Université, Centre d'Économie de la Sorbonne, Université Paris 1 Panthéon-Sorbonne
ORCID: 0000-0001-7301-6167
Observed ORCID: 0000-0001-7301-6167
OpenAlex ID: A5040377739
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
2023 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, et al. · Artificial Intelligence · 82
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The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification
2019 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, et al. · European Journal of Operational Research · 38
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Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems
2019 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, et al. · Expert Systems with Applications · 34
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Blind source separation and feature extraction in concurrent control charts pattern recognition: Novel analyses and a comparison of different methods
2015 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, et al. · Computers & Industrial Engineering · 32
Multicriteria decision making
2020 · Guilherme Dean Pelegrina · 31
Dealing with redundancies among criteria in multicriteria decision making through independent component analysis
2022 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, et al. · Computers & Industrial Engineering · 19
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A Novel Approach for Fair Principal Component Analysis Based on Eigendecomposition
2023 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte · IEEE Transactions on Artificial Intelligence · 18
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Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers
2024 · Guilherme Dean Pelegrina, Sajid Siraj · IEEE Transactions on Artificial Intelligence · 16
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Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization
2022 · Guilherme D. Pelegrina, Renan D. B. Brotto, et al. · International Joint Conference on Neural Networks (IJCNN) · 11
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A statistical approach to detect disparity prone features in a group fairness setting
2023 · Guilherme Dean Pelegrina, Miguel Couceiro, et al. · AI and Ethics · 9
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Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings
2024 · Betania Silva Carneiro Campello, Guilherme Dean Pelegrina, et al. · Expert Systems with Applications · 8
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Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values
2023 · Guilherme D. Pelegrina, Leonardo T. Duarte, et al. · IEEE Signal Processing Letters · 8
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A Novel Unsupervised Capacity Identification Approach to Deal With Redundant Criteria in Multicriteria Decision Making Problems
2024 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte · IEEE Transactions on Fuzzy Systems · 7
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A multi-objective approach for blind source extraction
2016 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte · IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) · 6
An Unsupervised Capacity Identification Approach Based on Sobol’ Indices
2020 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, et al. · Lecture notes in computer science · 5
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Application of multi-objective optimization to blind source separation
2019 · Guilherme Dean Pelegrina, Romis Attux, et al. · Expert Systems with Applications · 5
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A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning
2024 · Guilherme Dean Pelegrina, Miguel Couceiro, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 4
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Critical Analysis of AI Indicators in Terms of Weighting and Aggregation Approaches
2023 · Renata Pelissari, Betania Campello, et al. · Lecture notes in computer science · 4
A Multi-Objective Approach for Post-Nonlinear Source Separation and Its Application to Ion-Selective Electrodes
2018 · Guilherme D. Pelegrina, Leonardo T. Duarte · IEEE Transactions on Circuits & Systems II Express Briefs · 4
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Explaining contributions of features towards unfairness in classifiers: A novel threshold-dependent Shapley value-based approach
2024 · Guilherme Dean Pelegrina, Sajid Siraj, et al. · Engineering Applications of Artificial Intelligence · 2
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Multicriteria decision making: Dealing with criteria interactions by means of latent variable analysis
2020 · Guilherme Dean Pelegrina · 2
A novel multi-objective-based approach to analyze trade-offs in Fair Principal Component Analysis
2020 · Guilherme Dean Pelegrina, Renan Brotto, et al. · arXiv (Cornell University) · 2
Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS Approach
2018 · Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, et al. · Lecture notes in computer science · 2
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Multilinear model: New issues in capacity identification
2018 · Michel Grabisch, Guilherme Dean Pelegrina, et al. · RePEc: Research Papers in Economics · 2
Shapley Regression for Rare Disease Diagnosis Support: A Case Study on APDS
2026 · Safa Alsaidi, Tomás Brogueira, et al. · International Joint Conference on Artificial Intelligence · 1
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Works count: 51
Citation count: 357
H-index: 9
I10-index: 9
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