Silvia Figini

发表

A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap

Marta Galvani, Chiara Bardelli, Silvia Figini, 2020, Algorithms.

LINK ANALYSIS FOR FRAUD DETECTION

Paolo Giudici, Silvia Figini, 2005 .

Automatic Electronic Invoice Classification Using Machine Learning Models

Chiara Bardelli, Silvia Figini, Alessandro Rondinelli, 2020, Mach. Learn. Knowl. Extr..

MODEL OF MODELS: A NEW PERSPECTIVE TO DEAL WITH MODEL UNCERTAINTY

Silvia Figini, Pierpaolo Uberti, Maria Laura Torrente, 2019, Far East Journal of Theoretical Statistics.

Organisation of the Data

Paolo Giudici, Silvia Figini, 2009 .

A statistical method to optimize the combination of internal and external data in operational risk measurement

Paolo Giudici, Silvia Figini, Pierpaolo Uberti, 2007 .

Concentration measures in risk management

Silvia Figini, Pierpaolo Uberti, 2013, J. Oper. Res. Soc..

Nonparametric Approaches for e-Learning Data

Paolo Giudici, Silvia Figini, Paolo Baldini, 2006, ICDM.

Machine learning techniques to understand the dynamics of terrorist events

Marta Galvani, Silvia Figini, 2019 .

Penalized models to estimate customer survival

Silvia Figini, S. Figini, Silvia Figini, 2010, Stat. Methods Appl..

Statistical models for e-learning data

Paolo Giudici, Silvia Figini, Paolo Giudici, 2009, Stat. Methods Appl..

Predicting e‐Learning Student Performance

Paolo Giudici, Silvia Figini, 2009 .

Solvency prediction for small and medium enterprises in banking

Silvia Figini, Federico Bonelli, Emanuele Giovannini, 2017, Decis. Support Syst..

Building predictive models for feature selection in genomic mining

Paolo Giudici, Silvia Figini, 2006 .

Economic Segregation Under the Action of Trading Uncertainties

Mattia Zanella, Giuseppe Toscani, Chiara Bardelli, 2020, Symmetry.

Bayesian Operational Risk Models

Paolo Giudici, Silvia Figini, Lijun Gao, 2015 .

Statistical merging of rating models

Paolo Giudici, Silvia Figini, Paolo Giudici, 2011, J. Oper. Res. Soc..

Data Mining for Lifetime Value Estimation

Silvia Figini, S. Figini, 2009, Encyclopedia of Data Warehousing and Mining.

1 Statistical Models for Customer Satisfaction Data

Silvia Figini, 2007 .

A threshold based approach to merge data in financial risk management

Paolo Giudici, Silvia Figini, Pierpaolo Uberti, 2010 .

Feature selection for genomic data

Paola Cerchiello, Silvia Figini, 2007, Monde des Util. Anal. Données.

How to measure single-name credit risk concentrations

Silvia Figini, Pierpaolo Uberti, S. Figini, 2010, Eur. J. Oper. Res..

A new approach in model selection for ordinal target variables pdf

Silvia Figini, Pierpaolo Uberti, Elena Ballante, 2020, ArXiv.

Credit risk predictions with Bayesian model averaging

Paolo Giudici, Silvia Figini, 2013 .

Bayesian feature selection to estimate customer survival

Stephen P. Brooks, Paolo Giudici, Silvia Figini, 2006 .

Statistical Local Models for Customer Satisfaction Data

Silvia Figini, 2010 .

Local Statistical Models for Variables Selection

Silvia Figini, 2011 .

MACHINE LEARNING PER CARATTERIZZARE GLI ATTACCHI TERRORISTICI

Silvia Figini, Silvia Figini, 2020, Istituto Lombardo - Accademia di Scienze e Lettere • Rendiconti di Lettere.

Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach

Silvia Figini, Marika Vezzoli, Roberto Savona, 2016, Intell. Syst. Account. Finance Manag..

Data Mining for Business and Industry

Paolo Giudici, Paola Cerchiello, Silvia Figini, 2008 .

Performance of credit risk prediction models via proper loss functions

Silvia Figini, Mario Maggi, 2014 .

Applied Data Mining for Business and Industry

Paolo Giudici, Silvia Figini, Paolo Giudici, 2009 .

Describing Website Visitors

Paolo Giudici, Silvia Figini, 2009 .

Optimal scaling for risk assessment: merging of operational and financial data

Ron S. Kenett, Silvia Salini, Silvia Figini, 2010, Qual. Reliab. Eng. Int..

Computational Statistics and Data Analysis Making Classifier Performance Comparisons When Roc Curves Intersect

Silvia Figini, Pietro Muliere, Chiara Gigliarano, 2022 .

Social contacts, epidemic spreading and health system. Mathematical modeling and applications to COVID-19 infection.

Mattia Zanella, Giuseppe Toscani, Chiara Bardelli, 2021, Mathematical biosciences and engineering : MBE.

A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap

Marta Galvani, Chiara Bardelli, Silvia Figini, 2021, Algorithms.

Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties

Mattia Zanella, Enrico Marchioni, Silvia Figini, 2021, International Journal of Non-Linear Mechanics.

ENSEMBLE CHURN RISK ANALYTICS

Silvia Figini, Federico Bonelli, Alessandra Grossi, 2021 .

Polarized Classification Tree Models: Theory and Computational Aspects

Marta Galvani, Silvia Figini, Pierpaolo Uberti, 2021, J. Classif..

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

Cinzia Talamonti, Francesca Lizzi, Francesco Laruina, 2021, International Journal of Computer Assisted Radiology and Surgery.

Model Assessment for Predictive Classification Models

Silvia Figini, Pierpaolo Uberti, S. Figini, 2010 .

Measuring risk with ordinal variables

Paolo Giudici, Silvia Figini, 2013 .

Enhanced Credit Default Models for Heterogeneous SME Segments

Dean Fantazzini, Paolo Giudici, Silvia Figini, 2009 .

Random Survival Forests Models for SME Credit Risk Measurement

Dean Fantazzini, Silvia Figini, S. Figini, 2009 .

Integrating operational and financial risk assessments

Ron S. Kenett, Silvia Salini, Silvia Figini, 2010 .