| Random survival forests models for SME credit risk measurement D Fantazzini, S Figini Methodology and computing in applied probability 11, 29-45, 2009 | 177 | 2009 |
| Statistical merging of rating models S Figini, P Giudici Journal of the operational research society 62, 1067-1074, 2011 | 56 | 2011 |
| Making classifier performance comparisons when ROC curves intersect C Gigliarano, S Figini, P Muliere Computational statistics & data analysis 77, 300-312, 2014 | 55 | 2014 |
| Solvency prediction for small and medium enterprises in banking S Figini, F Bonelli, E Giovannini Decision Support Systems 102, 91-97, 2017 | 48 | 2017 |
| Peripheral mitochondrial function correlates with clinical severity in idiopathic Parkinson's disease C Milanese, C Payán‐Gómez, M Galvani, N Molano Gonzalez, M Tresini, ... Movement Disorders 34 (8), 1192-1202, 2019 | 31 | 2019 |
| Default forecasting for small-medium enterprises: Does heterogeneity matter? D Fantazzini, S Figini International Journal of Risk Assessment and Management 11 (1-2), 138-163, 2009 | 31 | 2009 |
| Automatic electronic invoice classification using machine learning models C Bardelli, A Rondinelli, R Vecchio, S Figini Machine Learning and Knowledge Extraction 2 (4), 617-629, 2020 | 26 | 2020 |
| Corporate default prediction model averaging: A normative linear pooling approach S Figini, R Savona, M Vezzoli Intelligent Systems in Accounting, Finance and Management 23 (1-2), 6-20, 2016 | 26 | 2016 |
| Bayesian operational risk models S Figini, L Gao, P Giudici Journal of Operational Risk 10 (2), 2015 | 25 | 2015 |
| A statistical method to optimize the combination of internal and external data in operational risk measurement S Figini, P Giudici, P Uberti, A Sanyal J. Oper. Risk 2 (4), 69-78, 2007 | 25 | 2007 |
| 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, S Deandrea, P Perotti, M Azzi, S Figini, ... Mathematical Models and Methods in Applied Sciences 31 (12), 2533-2570, 2021 | 24 | 2021 |
| Texture analysis and machine learning to predict water T2 and fat fraction from non-quantitative MRI of thigh muscles in Facioscapulohumeral muscular dystrophy PF Felisaz, G Colelli, E Ballante, F Solazzo, M Paoletti, G Germani, ... European journal of radiology 134, 109460, 2021 | 16 | 2021 |
| Social contacts, epidemic spreading and health system. Mathematical modeling and applications to COVID-19 infection. M Zanella, C Bardelli, M Azzi, S Deandrea, P Perotti, S Silva, E Cadum, ... Machine Learning and Statistical models in real world applications, 83, 2021 | 15 | 2021 |
| Optimal scaling for risk assessment: merging of operational and financial data S Figini, RS Kenett, S Salini Quality and Reliability Engineering International 26 (8), 887-897, 2010 | 15 | 2010 |
| The market rank indicator to detect financial distress S Figini, M Maggi, P Uberti Econometrics and Statistics 14, 63-73, 2020 | 14 | 2020 |
| A threshold based approach to merge data in financial risk management S Figini, P Giudici, P Uberti Journal of Applied Statistics 37 (11), 1815-1824, 2010 | 14 | 2010 |
| 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 F Lizzi, A Agosti, F Brero, RF Cabini, ME Fantacci, S Figini, A Lascialfari, ... International journal of computer assisted radiology and surgery, 1-9, 2022 | 12 | 2022 |
| Focus on family functioning in anorexia nervosa: new perspectives using the Lausanne Trilogue Play MM Mensi, L Balottin, C Rogantini, M Orlandi, M Galvani, S Figini, ... Psychiatry Research 288, 112968, 2020 | 12 | 2020 |
| Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties A Medaglia, G Colelli, L Farina, A Bacila, P Bini, E Marchioni, S Figini, ... International Journal of Non-Linear Mechanics 141, 103933, 2022 | 11 | 2022 |
| Concentration measures in risk management S Figini, P Uberti Journal of the Operational Research Society 64 (5), 718-723, 2013 | 11 | 2013 |
Paolo GiudiciProfessor of Statistics, University of PaviaVerifisert e-postadresse på unipv.it
