3 papers
econ.GN2026
A study on healthcare expenditure in Italian regions via Symbolic Regression
Cristina Rossetti, Nicola Caravaggio, Giovanni Lamura +1
The study of the factors driving the dynamics of healthcare spending is of paramount importance to guide policymakers in the allocation of resources and to measure the effectivenes…
cs.LG2026
EvoMO-SR: Multiobjective LLM-based Evolution of Symbolic Expressions with substructure guidance
Cristina Rossetti, Anna V. Kononova, Thomas Bäck +2
Symbolic Regression (SR) is a data-driven method for scientific discovery which searches for interpretable analytical relationships within data. Recently, Large Language Models (LL…
cs.DB2025
A metadata model for profiling multidimensional sources in data ecosystems
Claudia Diamantini, Alessandro Mele, Domenico Potena +2
The Big Data landscape poses challenges in managing diverse data formats, requiring efficient storage and processing for high-quality analysis. Effective metadata management is cru…