Nonparametric Approaches for e-Learning Data. - Paolo Baldini; Silvia Figini; Paolo Giudici (ICDM, 2006)

Feature selection for genomic data. - Paola Cerchiello; Silvia Figini (Monde des Util. Anal. Données, 2007)

Statistical models for e-learning data. - Silvia Figini; Paolo Giudici (Stat. Methods Appl., 2009)

Data Mining for Lifetime Value Estimation. - Silvia Figini (Encyclopedia of Data Warehousing and Mining, 2009)

How to measure single-name credit risk concentrations. - Pierpaolo Uberti; Silvia Figini (Eur. J. Oper. Res., 2010)

Optimal scaling for risk assessment: merging of operational and financial data. - Silvia Figini; Ron S. Kenett; Silvia Salini (Qual. Reliab. Eng. Int., 2010)

Penalized models to estimate customer survival. - Silvia Figini (Stat. Methods Appl., 2010)

Statistical merging of rating models. - Silvia Figini; Paolo Giudici (J. Oper. Res. Soc., 2011)

Concentration measures in risk management. - Silvia Figini; Pierpaolo Uberti (J. Oper. Res. Soc., 2013)

Making classifier performance comparisons when ROC curves intersect. - Chiara Gigliarano; Silvia Figini; Pietro Muliere (Comput. Stat. Data Anal., 2014)

Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach. - Silvia Figini; Roberto Savona; Marika Vezzoli (Intell. Syst. Account. Finance Manag., 2016)

Solvency prediction for small and medium enterprises in banking. - Silvia Figini; Federico Bonelli; Emanuele Giovannini (Decis. Support Syst., 2017)

Automatic Electronic Invoice Classification Using Machine Learning Models. - Chiara Bardelli; Alessandro Rondinelli; Ruggero Vecchio; Silvia Figini (Mach. Learn. Knowl. Extr., 2020)

Economic Segregation Under the Action of Trading Uncertainties. - Elena Ballante; Chiara Bardelli; Mattia Zanella; Silvia Figini; Giuseppe Toscani (Symmetry, 2020)

A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap. - Marta Galvani; Chiara Bardelli; Silvia Figini; Pietro Muliere (Algorithms, 2021)

Polarized Classification Tree Models: Theory and Computational Aspects. - Elena Ballante; Marta Galvani; Pierpaolo Uberti; Silvia Figini (J. Classif., 2021)

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; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesco Laruina; Piernicola Oliva; Stefano Piffer; Ian Postuma; Lisa Rinaldi; et al. (CoRR, 2021)

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. - 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; et al. (Int. J. Comput. Assist. Radiol. Surg., 2022)

A kinetic approach to consensus-based segmentation of biomedical images. - Raffaella Fiamma Cabini; Anna Pichiecchio; Alessandro Lascialfari; Silvia Figini; Mattia Zanella (CoRR, 2022)

A new approach in model selection for ordinal target variables. - Elena Ballante; Silvia Figini; Pierpaolo Uberti (Comput. Stat., 2022)

Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report. - Camilla Scapicchio; Elena Ballante; Francesca Brero; Raffaella Fiamma Cabini; Andrea Chincarini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesca Lizzi; Ian Postuma; Alessandra Retico (HEALTHINF, 2023)

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders. - Leonardo Barzaghi; Francesca Brero; Raffaella Fiamma Cabini; Matteo Paoletti; Mauro Monforte; Francesca Lizzi; Francesco Santini 002; Xeni Deligianni; Niels Bergsland; Sabrina Ravaglia; Lorenzo Cavagna; Luca Diamanti; et al. (Comput. Methods Programs Biomed., 2024)

A Bayesian Approach to Clustering via the Proper Bayesian Bootstrap: the Bayesian Bagged Clustering (BBC) algorithm. - Federico Maria Quetti; Silvia Figini; Elena Ballante (CoRR, 2024)

Generalized Bayesian Ensemble Survival Tree (GBEST) model. - Elena Ballante; Pietro Muliere; Silvia Figini (CoRR, 2025)