2 citations · 4 across the 6 of their papers we have counts for
7 papers
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…
A kinetic approach to consensus-based segmentation of biomedical images
Raffaella Fiamma Cabini, Anna Pichiecchio, Alessandro Lascialfari +2
In this work, we apply a kinetic version of a bounded confidence consensus model to biomedical segmentation problems. In the presented approach, time-dependent information on the m…
Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties
Andrea Medaglia, Giulia Colelli, Lisa Farina +6
In this work, we develop a kinetic model of tumour growth taking into account the effects of clinical uncertainties characterising the tumours' progression. The action of therapeut…
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…
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…
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…
How to improve accuracy for DFA technique
Alessandro Stringhi, Silvia Figini
This paper extends the existing literature on empirical estimation of the confidence intervals associated to the Detrended Fluctuation Analysis (DFA). We used Montecarlo simulation…