Association Models for Web Mining. - Paolo Giudici; Robert Castelo (Data Min. Knowl. Discov., 2001)

Statistical Models for Data Mining. - Paolo Giudici; David Heckerman; Joe Whittaker (Data Min. Knowl. Discov., 2001)

Sequence Rules for Web Clickstream Analysis. - Erika Blanc; Paolo Giudici (ICDM, 2002)

Improving Markov Chain Monte Carlo Model Search for Data Mining. - Paolo Giudici; Robert Castelo (Mach. Learn., 2003)

Data Mining Model Comparison. - Paolo Giudici (The Data Mining and Knowledge Discovery Handbook, 2005)

Nonparametric Approaches for e-Learning Data. - Paolo Baldini; Silvia Figini; Paolo Giudici (ICDM, 2006)

Merging data streams in operational risk management. - Paolo Giudici (Monde des Util. Anal. Données, 2007)

A Bayesian approach to estimate the marginal loss distributions in operational risk management. - Luciana Dalla Valle; Paolo Giudici (Comput. Stat. Data Anal., 2008)

Statistical models for e-learning data. - Silvia Figini; Paolo Giudici (Stat. Methods Appl., 2009)

Evaluation of Data Mining Methods. - Paolo Giudici (Encyclopedia of Data Warehousing and Mining, 2009)

Data Mining Model Comparison. - Paolo Giudici (Data Mining and Knowledge Discovery Handbook, 2010)

Statistical merging of rating models. - Silvia Figini; Paolo Giudici (J. Oper. Res. Soc., 2011)

Non parametric statistical models for on-line text classification. - Paola Cerchiello; Paolo Giudici (Adv. Data Anal. Classif., 2012)

On a statistical h index. - Paola Cerchiello; Paolo Giudici (Scientometrics, 2014)

Estimating bank default with generalised extreme value regression models. - Raffaella Calabrese; Paolo Giudici (J. Oper. Res. Soc., 2015)

Conditional graphical models for systemic risk estimation. - Paola Cerchiello; Paolo Giudici (Expert Syst. Appl., 2016)

Big data analysis for financial risk management. - Paola Cerchiello; Paolo Giudici (J. Big Data, 2016)

A Bayesian h-index: How to measure research impact. - Paola Cerchiello; Paolo Giudici (Stat. Anal. Data Min., 2016)

Twitter data models for bank risk contagion. - Paola Cerchiello; Paolo Giudici; Giancarlo Nicola (Neurocomputing, 2017)

Measuring bank contagion in Europe using binary spatial regression models. - Raffaella Calabrese; Johan A. Elkink; Paolo Giudici (J. Oper. Res. Soc., 2017)

CLADAG 2015 special issue: Selected papers on classification and data analysis. - Paolo Giudici; Francesca Greselin; Thomas Brendan Murphy; Carla Rampichini (Stat. Anal. Data Min., 2017)

Network-Based Models to Improve Credit Scoring Accuracy. - Branka Hadji Misheva; Paolo Giudici; Valentino Pediroda (DSAA, 2018)

Riskrank to Predict Systemic Banking Crises With Common Exposures. - Peter Sarlin; Paolo Giudici; Alessandro Spelta; Kaj-Mikael Björk (HICSS, 2018)

Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance. - Paolo Giudici (Frontiers Artif. Intell., 2018)

Spatial Regression Models to Improve P2P Credit Risk Management. - Arianna Agosto; Paolo Giudici; Tom Leach (Frontiers Artif. Intell., 2019)

Factorial Network Models to Improve P2P Credit Risk Management. - Daniel Felix Ahelegbey; Paolo Giudici; Branka Hadji Misheva (Frontiers Artif. Intell., 2019)

Editorial: AI and Financial Technology. - Paolo Giudici; Ronald Hochreiter; Jörg Osterrieder; Jochen Papenbrock; Peter Schwendner (Frontiers Artif. Intell., 2019)

Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms. - Paolo Giudici; Branka Hadji Misheva; Alessandro Spelta (Frontiers Artif. Intell., 2019)

Lorenz Model Selection. - Paolo Giudici; Emanuela Raffinetti (J. Classif., 2020)

Explainable AI in Fintech Risk Management. - Niklas Bussmann; Paolo Giudici; Dimitri Marinelli; Jochen Papenbrock (Frontiers Artif. Intell., 2020)

Network Models to Enhance Automated Cryptocurrency Portfolio Management. - Paolo Giudici; Paolo Pagnottoni; Gloria Polinesi (Frontiers Artif. Intell., 2020)

A hidden Markov model to detect regime changes in cryptoasset markets. - Paolo Giudici; Iman Abu Hashish (Qual. Reliab. Eng. Int., 2020)

Crypto price discovery through correlation networks. - Paolo Giudici; Gloria Polinesi (Ann. Oper. Res., 2021)

Shapley-Lorenz eXplainable Artificial Intelligence. - Paolo Giudici; Emanuela Raffinetti (Expert Syst. Appl., 2021)

SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk. - Alex Gramegna; Paolo Giudici (Frontiers Artif. Intell., 2021)

The PERISCOPE Data Atlas: A Demonstration of Release v1.2. - Enea Parimbelli; Cristiana Larizza; Vladimir Urosevic; Andrea Pogliaghi; Manuel Ottaviano; Cindy Cheng; Vincent Benoit; Daniele Pala; Vittorio Casella; Riccardo Bellazzi; Paolo Giudici (AIME, 2022)

Network models to improve robot advisory portfolios. - Paolo Giudici; Gloria Polinesi; Alessandro Spelta (Ann. Oper. Res., 2022)

Explainable AI methods in cyber risk management. - Paolo Giudici; Emanuela Raffinetti (Qual. Reliab. Eng. Int., 2022)

Explainable Machine Learning for Bag of Words-Based Phishing Detection. - Maria Carla Calzarossa; Paolo Giudici; Rasha Zieni (xAI (1), 2023)

Lorenz Zonoids for Trustworthy AI. - Paolo Giudici; Emanuela Raffinetti (xAI (1), 2023)

The impact of the SARS-CoV-2 pandemic on financial markets: a seismologic approach. - Alessandro Spelta; Nicolò Pecora; Andrea Flori; Paolo Giudici (Ann. Oper. Res., 2023)

Shapley values and fairness. - Paolo Giudici; Parvati Neelakantan (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Model agnostic calibration of image classifiers. - Paolo Giudici; Giulia Vilone (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Measuring multidimensional inequality: a new proposal based on the Fourier transform. - Paolo Giudici; Emanuela Raffinetti; Giuseppe Toscani (CoRR, 2024)

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms. - Gavin Abercrombie; Djalel Benbouzid; Paolo Giudici; Delaram Golpayegani; Julio Hernandez; Pierre Noro; Harshvardhan J. Pandit; Eva Paraschou; Charlie Pownall; Jyoti Prajapati; Mark A. Sayre; Ushnish Sengupta; et al. (CoRR, 2024)

Measuring fairness in credit ratings. - Ying Chen; Paolo Giudici; Kailiang Liu; Emanuela Raffinetti (Expert Syst. Appl., 2024)

Statistical learning models to measure the impact of COVID-19 on financial fragility. - Arianna Agosto; Paolo Giudici; Alessandra Tanda (Frontiers Artif. Intell., 2024)

Artificial Intelligence risk measurement. - Paolo Giudici; Mattia Centurelli; Stefano Turchetta (Expert Syst. Appl., 2024)

Explainable machine learning for phishing feature detection. - Maria Carla Calzarossa; Paolo Giudici; Rasha Zieni (Qual. Reliab. Eng. Int., 2024)

How fair is machine learning in credit lending? - Golnoosh Babaei; Paolo Giudici (Qual. Reliab. Eng. Int., 2024)

A Rank Graduation Box for SAFE AI. - Golnoosh Babaei; Paolo Giudici; Emanuela Raffinetti (Expert Syst. Appl., 2025)

Explainable machine learning to predict the cost of capital. - Niklas Bussmann; Paolo Giudici; Alessandra Tanda; Ellen Pei-Yi Yu (Frontiers Artif. Intell., 2025)

Sustainable artificial intelligence in finance: impact of ESG factors. - Paolo Giudici; Lunshuai Wu (Frontiers Artif. Intell., 2025)

How robust are ensemble machine learning explanations? - Maria Carla Calzarossa; Paolo Giudici; Rasha Zieni (Neurocomputing, 2025)

Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction. - Jingyi Wang; Ying Chen; Paolo Giudici (CoRR, 2025)

RGA: a unified measure of predictive accuracy. - Paolo Giudici; Emanuela Raffinetti (Adv. Data Anal. Classif., 2025)

An assessment framework for explainable AI with applications to cybersecurity. - Maria Carla Calzarossa; Paolo Giudici; Rasha Zieni (Artif. Intell. Rev., 2025)

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties. - Gennaro Auricchio; Giovanni Brigati; Paolo Giudici; Giuseppe Toscani (CoRR, 2025)

Building crypto portfolios with agentic AI. - Antonino Castelli; Paolo Giudici; Alessandro Piergallini (CoRR, 2025)

Bayesian learning models to measure the relative impact of ESG factors on credit ratings. - Arianna Agosto; Paola Cerchiello; Paolo Giudici (Int. J. Data Sci. Anal., 2025)

Robust machine learning models: linear and nonlinear. - Paolo Giudici; Emanuela Raffinetti; Marco Riani (Int. J. Data Sci. Anal., 2025)