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Found 3 papers, 1 papers with code
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups
In this work we focus on the latter aspects; we propose an explainability method tailored to identifying potential bias in subgroups and visualizing the findings in a user friendly manner to end users.
Auditing for Spatial Fairness
Similar to established notions of algorithmic fairness, we define spatial fairness as the statistical independence of outcomes from location.
Ranking Papers by their Short-Term Scientific Impact
A detailed experimental evaluation on four real citation datasets across disciplines, shows that our approach is more effective than previous work in ranking papers based on their short-term impact.
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