2 citations · 3 across the 7 of their papers we have counts for
10 papers
A Rank Graduation metric for Algorithmic fairness
Dalia Atif, Paolo Giudici
Fairness assessment in algorithmic decisions that affect individuals, such as credit scoring, often relies on parity measures calculated at the aggregate group level. Such measures…
Confidence regions for SAFE AI compliance scores
Anton Sokolov, Paolo Giudici, Vasily Kolesnikov
Artificial Intelligence trustworthiness scores are moving from research dashboards into compliance claims and procurement decisions. A compliance claim is a statistical decision ba…
Explainable cluster analysis: a bagging approach
Federico Maria Quetti, Elena Ballante, Silvia Figini +1
A major limitation of clustering approaches is their lack of explainability: methods rarely provide insight into which features drive the grouping of similar observations. To addre…
On Rank Graduation Metrics for High Dimensional Ordinal Data
Gennaro Auricchio, Adelaide Emma Bernardelli, Paolo Giudici +1
Evaluating the reliability of machine learning classifications remains a fundamental challenge in Artificial Intelligence (AI), particularly when the target variable is multidimens…
A Multiclass ROC Curve
Paolo Giudici, Rosa C. Rosciano, Johanna Schrader +1
This paper introduces a novel methodology for constructing multiclass ROC curves using the multidimensional Gini index. The proposed methodology leverages the established relations…
From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties
Gennaro Auricchio, Giovanni Brigati, Paolo Giudici +1
Selecting an appropriate divergence measure is a critical aspect of machine learning, as it directly impacts model performance. Among the most widely used, we find the Kullback-Lei…
How to measure multidimensional variation?
Gennaro Auricchio, Paolo Giudici, Giuseppe Toscani
The coefficient of variation, which measures the variability of a distribution from its mean, is not uniquely defined in the multidimensional case, and so is the multidimensional G…
Multivariate Gini-type discrepancies
Gennaro Auricchio, Giovanni Brigati, Paolo Giudici +1
Measuring distances in a multidimensional setting is a challenging problem, which appears in many fields of science and engineering. In this paper, to measure the distance between…
Extending the Gini Index to Higher Dimensions via Whitening Processes
Gennaro Auricchio, Paolo Giudici, Giuseppe Toscani
Measuring the degree of inequality expressed by a multivariate statistical distribution is a challenging problem, which appears in many fields of science and engineering. In this p…
Measuring multidimensional inequality: a new proposal based on the Fourier transform
Paolo Giudici, Emanuela Raffinetti, Giuseppe Toscani
Inequality measures are quantitative measures that take values in the unit interval, with a zero value characterizing perfect equality. Although originally proposed to measure econ…