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Raffaella Calabrese
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2020 – today
- 2024
- [j18]Yujia Chen
, Raffaella Calabrese, Belen Martin-Barragan
:
Interpretable machine learning for imbalanced credit scoring datasets. Eur. J. Oper. Res. 312(1): 357-372 (2024) - [j17]Raffaella Calabrese
, Timothy Dombrowski, Antoine Mandel
, R. Kelley Pace, Luca Zanin
:
Impacts of extreme weather events on mortgage risks and their evolution under climate change: A case study on Florida. Eur. J. Oper. Res. 314(1): 377-392 (2024) - [j16]Leonie Goldmann, Jonathan Crook, Raffaella Calabrese:
A new ordinal mixed-data sampling model with an application to corporate credit rating levels. Eur. J. Oper. Res. 314(3): 1111-1126 (2024) - 2023
- [j15]Raffaella Calabrese
:
Contagion effects of UK small business failures: A spatial hierarchical autoregressive model for binary data. Eur. J. Oper. Res. 305(2): 989-997 (2023) - [j14]Victor Medina-Olivares
, Raffaella Calabrese
, Jonathan Crook
, Finn Lindgren
:
Joint models for longitudinal and discrete survival data in credit scoring. Eur. J. Oper. Res. 307(3): 1457-1473 (2023) - [j13]Victor Medina-Olivares
, Finn Lindgren
, Raffaella Calabrese
, Jonathan Crook:
Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: An application to credit repayment behaviour. Eur. J. Oper. Res. 310(2): 860-873 (2023) - [j12]Andrej Svetlosák, Miguel de Carvalho
, Raffaella Calabrese
:
Subject-to-group statistical comparison for open banking-type data. J. Oper. Res. Soc. 74(3): 703-718 (2023) - [c2]Francesca Laganaro, Raffaella Calabrese, Annalisa Mancini, Matteo Angelucci, Antonio Pallotti:
Artificial Intelligence Based Web Platform for Home Screening in Digital Neurology. Ital-IA 2023: 212-216 - [c1]Annalisa Mancini, Giovanni Albani, Giuseppe Marano, Raffaella Calabrese, Giuseppe Veneziano, Alessandra Paffi, Matteo Angelucci, Marianna Mazza, Antonio Pallotti:
Graph and Handwriting Signals-Based Machine Learning Models Development in Parkinson's Screening and Telemonitoring. MetroInd4.0&IoT 2023: 183-188 - [i1]Victor Medina-Olivares
, Finn Lindgren, Raffaella Calabrese, Jonathan Crook:
Joint model for longitudinal and spatio-temporal survival data. CoRR abs/2311.04008 (2023) - 2022
- [j11]Raffaella Calabrese
, Luca Zanin
:
Modelling spatial dependence for Loss Given Default in peer-to-peer lending. Expert Syst. Appl. 192: 116295 (2022) - [j10]Andreas C. Bueff
, Mateusz Cytrynski
, Raffaella Calabrese
, Matthew Jones
, John Roberts
, Jonathon Moore
, Iain Brown:
Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals. Expert Syst. Appl. 202: 117271 (2022) - 2021
- [j9]Viani Biatat Djeundje, Jonathan Crook, Raffaella Calabrese
, Mona Hamid:
Enhancing credit scoring with alternative data. Expert Syst. Appl. 163: 113766 (2021) - 2020
- [j8]Raffaella Calabrese
, Jonathan Crook:
Spatial contagion in mortgage defaults: A spatial dynamic survival model with time and space varying coefficients. Eur. J. Oper. Res. 287(2): 749-761 (2020)
2010 – 2019
- 2019
- [j7]Raffaella Calabrese
, Silvia Angela Osmetti:
A new approach to measure systemic risk: A bivariate copula model for dependent censored data. Eur. J. Oper. Res. 279(3): 1053-1064 (2019) - 2017
- [j6]Raffaella Calabrese
, Marta Degl'Innocenti, Silvia Angela Osmetti:
The effectiveness of TARP-CPP on the US banking industry: A new copula-based approach. Eur. J. Oper. Res. 256(3): 1029-1037 (2017) - [j5]Raffaella Calabrese
, Johan A. Elkink
, Paolo Giudici:
Measuring bank contagion in Europe using binary spatial regression models. J. Oper. Res. Soc. 68(12): 1503-1511 (2017) - 2016
- [j4]Galina Andreeva, Raffaella Calabrese
, Silvia Angela Osmetti:
A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models. Eur. J. Oper. Res. 249(2): 506-516 (2016) - [j3]Raffaella Calabrese
, Giampiero Marra
, Silvia Angela Osmetti:
Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model. J. Oper. Res. Soc. 67(4): 604-615 (2016) - 2015
- [j2]Raffaella Calabrese
, Paolo Giudici:
Estimating bank default with generalised extreme value regression models. J. Oper. Res. Soc. 66(11): 1783-1792 (2015) - 2014
- [j1]Raffaella Calabrese
:
Downturn Loss Given Default: Mixture distribution estimation. Eur. J. Oper. Res. 237(1): 271-277 (2014)
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last updated on 2024-08-03 21:16 CEST by the dblp team
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