30 citations · 55 across the 14 of their papers we have counts for
7 papers · 1 filter
A fairness-aware extension of Stochastic Multicriteria Acceptability Analysis for ranking
Guilherme Dean Pelegrina, Renata Pelissari
Fairness has become a central concern in ranking problems involving individuals or social groups, particularly under the Responsible Artificial Intelligence agenda. In Multi-Criter…
Shapley Regression for Rare Disease Diagnosis Support: a case study on APDS
Safa Alsaidi, Tomás Brogueira, Nizar Mahlaoui +5
Activated PI3K8 Syndrome (APDS) is a rare genetic immune disorder caused by variants in PIK3CD or PIK3R1, with highly heterogeneous symptoms that often delay diagnosis. Early recog…
A statistical approach to detect sensitive features in a group fairness setting
Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte
The use of machine learning models in decision support systems with high societal impact raised concerns about unfair (disparate) results for different groups of people. When evalu…
A -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
Besides accuracy, recent studies on machine learning models have been addressing the question on how the obtained results can be interpreted. Indeed, while complex machine learning…
Shapley value-based approaches to explain the robustness of classifiers in machine learning
Guilherme Dean Pelegrina, Sajid Siraj
The use of algorithm-agnostic approaches is an emerging area of research for explaining the contribution of individual features towards the predicted outcome. Whilst there is a foc…
A novel approach for Fair Principal Component Analysis based on eigendecomposition
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
Principal component analysis (PCA), a ubiquitous dimensionality reduction technique in signal processing, searches for a projection matrix that minimizes the mean squared error bet…
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization
Guilherme D. Pelegrina, Renan D. B. Brotto, Leonardo T. Duarte +2
In dimensionality reduction problems, the adopted technique may produce disparities between the representation errors of different groups. For instance, in the projected space, a s…