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ORCIDSilvia Figini
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2020 – today
- 2024
[j17]Leonardo Barzaghi
, Francesca Brero, Raffaella Fiamma Cabini, Matteo Paoletti, Mauro Monforte, Francesca Lizzi, Francesco Santini, Xeni Deligianni, Niels Bergsland, Sabrina Ravaglia, Lorenzo Cavagna, Luca Diamanti, Chiara Bonizzoni, Alessandro Lascialfari, Silvia Figini, Enzo Ricci, Ian Postuma, Anna Pichiecchio:
Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders. Comput. Methods Programs Biomed. 256: 108399 (2024)- [i4]Federico Maria Quetti, Silvia Figini, Elena Ballante:
A Bayesian Approach to Clustering via the Proper Bayesian Bootstrap: the Bayesian Bagged Clustering (BBC) algorithm. CoRR abs/2409.08954 (2024) - 2023
- [c2]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: 663-670 - 2022
- [j16]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): 229-237 (2022) - [j15]Elena Ballante, Silvia Figini, Pierpaolo Uberti:
A new approach in model selection for ordinal target variables. Comput. Stat. 37(1): 43-56 (2022) - [i3]Raffaella Fiamma Cabini, Anna Pichiecchio, Alessandro Lascialfari, Silvia Figini, Mattia Zanella:
A kinetic approach to consensus-based segmentation of biomedical images. CoRR abs/2211.05226 (2022) - 2021
- [j14]Marta Galvani, Chiara Bardelli, Silvia Figini, Pietro Muliere:
A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap. Algorithms 14(1): 11 (2021) - [j13]Elena Ballante, Marta Galvani, Pierpaolo Uberti, Silvia Figini:
Polarized Classification Tree Models: Theory and Computational Aspects. J. Classif. 38(3): 481-499 (2021) - [i2]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 abs/2105.02566 (2021) - 2020
- [j12]Chiara Bardelli, Alessandro Rondinelli, Ruggero Vecchio, Silvia Figini:
Automatic Electronic Invoice Classification Using Machine Learning Models. Mach. Learn. Knowl. Extr. 2(4): 617-629 (2020) - [j11]Elena Ballante, Chiara Bardelli, Mattia Zanella, Silvia Figini, Giuseppe Toscani:
Economic Segregation Under the Action of Trading Uncertainties. Symmetry 12(9): 1390 (2020) - [i1]Elena Ballante, Pierpaolo Uberti, Silvia Figini:
A new approach in model selection for ordinal target variables. CoRR abs/2003.02761 (2020)
2010 – 2019
- 2017
- [j10]Silvia Figini, Federico Bonelli, Emanuele Giovannini:
Solvency prediction for small and medium enterprises in banking. Decis. Support Syst. 102: 91-97 (2017) - 2016
- [j9]Silvia Figini, Roberto Savona, Marika Vezzoli:
Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach. Intell. Syst. Account. Finance Manag. 23(1-2): 6-20 (2016) - 2014
- [j8]Chiara Gigliarano, Silvia Figini, Pietro Muliere:
Making classifier performance comparisons when ROC curves intersect. Comput. Stat. Data Anal. 77: 300-312 (2014) - 2013
- [j7]Silvia Figini, Pierpaolo Uberti:
Concentration measures in risk management. J. Oper. Res. Soc. 64(5): 718-723 (2013) - 2011
- [j6]Silvia Figini, Paolo Giudici:
Statistical merging of rating models. J. Oper. Res. Soc. 62(6): 1067-1074 (2011) - 2010
- [j5]Pierpaolo Uberti, Silvia Figini:
How to measure single-name credit risk concentrations. Eur. J. Oper. Res. 202(1): 232-238 (2010) - [j4]Silvia Figini, Ron S. Kenett, Silvia Salini:
Optimal scaling for risk assessment: merging of operational and financial data. Qual. Reliab. Eng. Int. 26(8): 887-897 (2010) - [j3]Silvia Figini:
Penalized models to estimate customer survival. Stat. Methods Appl. 19(1): 141-150 (2010)
2000 – 2009
- 2009
- [j2]Silvia Figini, Paolo Giudici:
Statistical models for e-learning data. Stat. Methods Appl. 18(2): 293-304 (2009) - [r1]Silvia Figini:
Data Mining for Lifetime Value Estimation. Encyclopedia of Data Warehousing and Mining 2009: 431-437 - 2007
- [j1]Paola Cerchiello, Silvia Figini:
Feature selection for genomic data. Monde des Util. Anal. Données 36: 147-153 (2007) - 2006
- [c1]Paolo Baldini, Silvia Figini, Paolo Giudici:
Nonparametric Approaches for e-Learning Data. ICDM 2006: 548-560
Coauthor Index
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last updated on 2024-10-22 21:16 CEST by the dblp team
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