3 papers
eess.IV2021
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria
Francesca Lizzi, Abramo Agosti, Francesca Brero +11
The automatic assignment of a severity score to the CT scans of patients affected by COVID-19 pneumonia could reduce the workload in radiology departments. This study aims at explo…
q-bio.PE2021
A data-driven epidemic model with social structure for understanding the COVID-19 infection on a heavily affected Italian Province
M. Zanella, C. Bardelli, G. Dimarco +5
In this work, using a detailed dataset furnished by National Health Authorities concerning the Province of Pavia (Lombardy, Italy), we propose to determine the essential features o…
stat.ME2020
A new approach in model selection for ordinal target variables
Elena Ballante, Pierpaolo Uberti, Silvia Figini
This paper introduces a novel approach to assess model performance for predictive models characterized by an ordinal target variable in order to satisfy the lack of suitable tools…