Raffaella Calabrese

23 papers Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel generalised extreme value gradient boosting decision tree for the class imbalanced problem in credit scoring. J. Oper. Res. Soc. Junfeng Zhang, Raffaella Calabrese, Yizhe Dong
2025	J	`jnl`	Joint model for longitudinal and spatio-temporal survival data. Eur. J. Oper. Res. Victor Medina-Olivares, Finn Lindgren, Raffaella Calabrese, Jonathan Crook
2024	J	`jnl`	A new ordinal mixed-data sampling model with an application to corporate credit rating levels. Eur. J. Oper. Res. Leonie Goldmann, Jonathan Crook, Raffaella Calabrese
2024	J	`jnl`	Impacts of extreme weather events on mortgage risks and their evolution under climate change: A case study on Florida. Eur. J. Oper. Res. Raffaella Calabrese, Timothy Dombrowski, Antoine Mandel, R. Kelley Pace, Luca Zanin
2024	J	`jnl`	Interpretable machine learning for imbalanced credit scoring datasets. Eur. J. Oper. Res. Yujia Chen, Raffaella Calabrese, Belen Martin-Barragan
2023	—	`conf`	Artificial Intelligence Based Web Platform for Home Screening in Digital Neurology. Ital-IA Francesca Laganaro, Raffaella Calabrese, Annalisa Mancini, Matteo Angelucci, Antonio Pallotti
2023	J	`jnl`	Contagion effects of UK small business failures: A spatial hierarchical autoregressive model for binary data. Eur. J. Oper. Res. Raffaella Calabrese
2023	—	`conf`	Graph and Handwriting Signals-Based Machine Learning Models Development in Parkinson's Screening and Telemonitoring. MetroInd4.0&IoT Annalisa Mancini, Giovanni Albani, Giuseppe Marano, Raffaella Calabrese, Giuseppe Veneziano, Alessandra Paffi, Matteo Angelucci, Marianna Mazza, Antonio Pallotti
2023	J	`jnl`	Joint model for longitudinal and spatio-temporal survival data. CoRR Victor Medina-Olivares, Finn Lindgren, Raffaella Calabrese, Jonathan Crook
2023	J	`jnl`	Joint models for longitudinal and discrete survival data in credit scoring. Eur. J. Oper. Res. Victor Medina-Olivares, Raffaella Calabrese, Jonathan Crook, Finn Lindgren
2023	J	`jnl`	Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: An application to credit repayment behaviour. Eur. J. Oper. Res. Victor Medina-Olivares, Finn Lindgren, Raffaella Calabrese, Jonathan Crook
2023	J	`jnl`	Subject-to-group statistical comparison for open banking-type data. J. Oper. Res. Soc. Andrej Svetlosák, Miguel de Carvalho, Raffaella Calabrese
2022	J	`jnl`	Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals. Expert Syst. Appl. Andreas C. Bueff, Mateusz Cytrynski, Raffaella Calabrese, Matthew Jones, John Roberts, Jonathon Moore, Iain Brown
2022	J	`jnl`	Modelling spatial dependence for Loss Given Default in peer-to-peer lending. Expert Syst. Appl. Raffaella Calabrese, Luca Zanin
2021	J	`jnl`	Enhancing credit scoring with alternative data. Expert Syst. Appl. Viani Biatat Djeundje, Jonathan Crook, Raffaella Calabrese, Mona Hamid
2020	J	`jnl`	Spatial contagion in mortgage defaults: A spatial dynamic survival model with time and space varying coefficients. Eur. J. Oper. Res. Raffaella Calabrese, Jonathan Crook
2019	J	`jnl`	A new approach to measure systemic risk: A bivariate copula model for dependent censored data. Eur. J. Oper. Res. Raffaella Calabrese, Silvia Angela Osmetti
2017	J	`jnl`	Measuring bank contagion in Europe using binary spatial regression models. J. Oper. Res. Soc. Raffaella Calabrese, Johan A. Elkink, Paolo Giudici
2017	J	`jnl`	The effectiveness of TARP-CPP on the US banking industry: A new copula-based approach. Eur. J. Oper. Res. Raffaella Calabrese, Marta Degl'Innocenti, Silvia Angela Osmetti
2016	J	`jnl`	A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models. Eur. J. Oper. Res. Galina Andreeva, Raffaella Calabrese, Silvia Angela Osmetti
2016	J	`jnl`	Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model. J. Oper. Res. Soc. Raffaella Calabrese, Giampiero Marra, Silvia Angela Osmetti
2015	J	`jnl`	Estimating bank default with generalised extreme value regression models. J. Oper. Res. Soc. Raffaella Calabrese, Paolo Giudici
2014	J	`jnl`	Downturn Loss Given Default: Mixture distribution estimation. Eur. J. Oper. Res. Raffaella Calabrese

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.