30 citations · 55 across the 14 of their papers we have counts for
3 papers · 1 filter
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…