Silvia Figini

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 12

Top Topics

Model Selection

Top Venues

Decis. Support Syst.

Int. J. Comput. Assist. Radiol. Surg.

Publications

Camilla Scapicchio, Elena Ballante, Francesca Brero, Raffaella Fiamma Cabini, Andrea Chincarini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesca Lizzi, Ian Postuma, Alessandra Retico
Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report. HEALTHINF (2023)
Francesca Lizzi, Abramo Agosti, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesco Laruina, Piernicola Oliva, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Cinzia Talamonti, Alessandra Retico
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria. Int. J. Comput. Assist. Radiol. Surg. 17 (2) (2022)
Elena Ballante, Silvia Figini, Pierpaolo Uberti
A new approach in model selection for ordinal target variables. Comput. Stat. 37 (1) (2022)
Raffaella Fiamma Cabini, Anna Pichiecchio, Alessandro Lascialfari, Silvia Figini, Mattia Zanella
A kinetic approach to consensus-based segmentation of biomedical images. CoRR (2022)
Marta Galvani, Chiara Bardelli, Silvia Figini, Pietro Muliere
A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap. Algorithms 14 (1) (2021)
Francesca Lizzi, Abramo Agosti, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesco Laruina, Piernicola Oliva, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Cinzia Talamonti, Alessandra Retico
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. CoRR (2021)
Elena Ballante, Marta Galvani, Pierpaolo Uberti, Silvia Figini
Polarized Classification Tree Models: Theory and Computational Aspects. J. Classif. 38 (3) (2021)
Chiara Bardelli, Alessandro Rondinelli, Ruggero Vecchio, Silvia Figini
Automatic Electronic Invoice Classification Using Machine Learning Models. Mach. Learn. Knowl. Extr. 2 (4) (2020)
Elena Ballante, Chiara Bardelli, Mattia Zanella, Silvia Figini, Giuseppe Toscani
Economic Segregation Under the Action of Trading Uncertainties. Symmetry 12 (9) (2020)
Elena Ballante, Pierpaolo Uberti, Silvia Figini
A new approach in model selection for ordinal target variables. CoRR (2020)
Silvia Figini, Federico Bonelli, Emanuele Giovannini
Solvency prediction for small and medium enterprises in banking. Decis. Support Syst. 102 (2017)
Silvia Figini, Roberto Savona, Marika Vezzoli
Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach. Intell. Syst. Account. Finance Manag. 23 (1-2) (2016)
Chiara Gigliarano, Silvia Figini, Pietro Muliere
Making classifier performance comparisons when ROC curves intersect. Comput. Stat. Data Anal. 77 (2014)
Silvia Figini, Pierpaolo Uberti
Concentration measures in risk management. J. Oper. Res. Soc. 64 (5) (2013)
Silvia Figini, Paolo Giudici
Statistical merging of rating models. J. Oper. Res. Soc. 62 (6) (2011)
Silvia Figini, Ron S. Kenett, Silvia Salini
Optimal scaling for risk assessment: merging of operational and financial data. Qual. Reliab. Eng. Int. 26 (8) (2010)
Silvia Figini
Penalized models to estimate customer survival. Stat. Methods Appl. 19 (1) (2010)
Pierpaolo Uberti, Silvia Figini
How to measure single-name credit risk concentrations. Eur. J. Oper. Res. 202 (1) (2010)
Silvia Figini, Paolo Giudici
Statistical models for e-learning data. Stat. Methods Appl. 18 (2) (2009)
Paola Cerchiello, Silvia Figini
Feature selection for genomic data. Monde des Util. Anal. Données 36 (2007)
Paolo Baldini, Silvia Figini, Paolo Giudici
Nonparametric Approaches for e-Learning Data. ICDM (2006)