Paolo Giudici

Orcid: 0000-0002-4198-0127

Affiliations:
  • University of Pavia, Italy


According to our database1, Paolo Giudici authored at least 51 papers between 2001 and 2025.

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Bibliography

2025
A Rank Graduation Box for SAFE AI.
Expert Syst. Appl., 2025

2024
How fair is machine learning in credit lending?
Qual. Reliab. Eng. Int., October, 2024

Explainable machine learning for phishing feature detection.
Qual. Reliab. Eng. Int., February, 2024

Artificial Intelligence risk measurement.
Expert Syst. Appl., January, 2024

Statistical learning models to measure the impact of COVID-19 on financial fragility.
Frontiers Artif. Intell., 2024

Measuring fairness in credit ratings.
Expert Syst. Appl., 2024

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms.
CoRR, 2024

Measuring multidimensional inequality: a new proposal based on the Fourier transform.
CoRR, 2024

Model agnostic calibration of image classifiers.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Shapley values and fairness.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2023
The impact of the SARS-CoV-2 pandemic on financial markets: a seismologic approach.
Ann. Oper. Res., November, 2023

Lorenz Zonoids for Trustworthy AI.
Proceedings of the Explainable Artificial Intelligence, 2023

Explainable Machine Learning for Bag of Words-Based Phishing Detection.
Proceedings of the Explainable Artificial Intelligence, 2023

2022
Explainable AI methods in cyber risk management.
Qual. Reliab. Eng. Int., 2022

Network models to improve robot advisory portfolios.
Ann. Oper. Res., 2022

The PERISCOPE Data Atlas: A Demonstration of Release v1.2.
Proceedings of the Artificial Intelligence in Medicine, 2022

2021
SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk.
Frontiers Artif. Intell., 2021

Shapley-Lorenz eXplainable Artificial Intelligence.
Expert Syst. Appl., 2021

Crypto price discovery through correlation networks.
Ann. Oper. Res., 2021

2020
A hidden Markov model to detect regime changes in cryptoasset markets.
Qual. Reliab. Eng. Int., 2020

Network Models to Enhance Automated Cryptocurrency Portfolio Management.
Frontiers Artif. Intell., 2020

Explainable AI in Fintech Risk Management.
Frontiers Artif. Intell., 2020

Lorenz Model Selection.
J. Classif., 2020

2019
Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms.
Frontiers Artif. Intell., 2019

Editorial: AI and Financial Technology.
Frontiers Artif. Intell., 2019

Factorial Network Models to Improve P2P Credit Risk Management.
Frontiers Artif. Intell., 2019

Spatial Regression Models to Improve P2P Credit Risk Management.
Frontiers Artif. Intell., 2019

2018
Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance.
Frontiers Artif. Intell., 2018

Riskrank to Predict Systemic Banking Crises With Common Exposures.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Network-Based Models to Improve Credit Scoring Accuracy.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
CLADAG 2015 special issue: Selected papers on classification and data analysis.
Stat. Anal. Data Min., 2017

Measuring bank contagion in Europe using binary spatial regression models.
J. Oper. Res. Soc., 2017

Twitter data models for bank risk contagion.
Neurocomputing, 2017

2016
A Bayesian h-index: How to measure research impact.
Stat. Anal. Data Min., 2016

Big data analysis for financial risk management.
J. Big Data, 2016

Conditional graphical models for systemic risk estimation.
Expert Syst. Appl., 2016

2015
Estimating bank default with generalised extreme value regression models.
J. Oper. Res. Soc., 2015

2014
On a statistical h index.
Scientometrics, 2014

2012
Non parametric statistical models for on-line text classification.
Adv. Data Anal. Classif., 2012

2011
Statistical merging of rating models.
J. Oper. Res. Soc., 2011

2010
Data Mining Model Comparison.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

2009
Evaluation of Data Mining Methods.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Statistical models for e-learning data.
Stat. Methods Appl., 2009

2008
A Bayesian approach to estimate the marginal loss distributions in operational risk management.
Comput. Stat. Data Anal., 2008

2007
Merging data streams in operational risk management.
Monde des Util. Anal. Données, 2007

2006
Nonparametric Approaches for e-Learning Data.
Proceedings of the Advances in Data Mining, 2006

2005
Data Mining Model Comparison.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2003
Improving Markov Chain Monte Carlo Model Search for Data Mining.
Mach. Learn., 2003

2002
Sequence Rules for Web Clickstream Analysis.
Proceedings of the Advances in Data Mining, 2002

2001
Statistical Models for Data Mining.
Data Min. Knowl. Discov., 2001

Association Models for Web Mining.
Data Min. Knowl. Discov., 2001


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