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Found 3 papers, 1 papers with code
How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach
During the COVID-19 pandemic, several countries have taken the approach of tiered restrictions which has remained a point of debate due to a lack of transparency.
Shapley value-based approaches to explain the robustness of classifiers in machine learning
In this paper, we propose the use of Shapley values to explain the contribution of each feature towards the model's robustness, measured in terms of Receiver-operating Characteristics (ROC) curve and the Area under the ROC curve (AUC).
Supporting decisions by unleashing multiple mindsets using pairwise comparisons method
With this aim we consider the spanning trees analysis which is a recently emerging idea for use with the pairwise comparison approach that represents the plurality of mindsets (in terms of a plurality of vectors corresponding to different spanning trees).
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