Recommender Systems for Banking and Financial Services. - Andrea Gigli; Fabrizio Lillo; Daniele Regoli (RecSys Posters, 2017)

$FAKE: Evidence of Spam and Bot Activity in Stock Microblogs on Twitter. - Stefano Cresci; Fabrizio Lillo; Daniele Regoli; Serena Tardelli; Maurizio Tesconi (ICWSM, 2018)

Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter. - Stefano Cresci; Fabrizio Lillo; Daniele Regoli; Serena Tardelli; Maurizio Tesconi (ACM Trans. Web, 2019)

BeFair: Addressing Fairness in the Banking Sector. - Alessandro Castelnovo; Riccardo Crupi; Giulia Del Gamba; Greta Greco; Aisha Naseer; Daniele Regoli; Beatriz San Miguel González (IEEE BigData, 2020)

Design Methods for Artificial Intelligence Fairness and Transparency. - Simone Stumpf; Lorenzo Strappelli; Subeida Ahmed; Yuri Nakao; Aisha Naseer; Giulia Del Gamba; Daniele Regoli (IUI Workshops, 2021)

The zoo of Fairness metrics in Machine Learning. - Alessandro Castelnovo; Riccardo Crupi; Greta Greco; Daniele Regoli (CoRR, 2021)

Revealing Pairs-trading opportunities with long short-term memory networks. - Andrea Flori; Daniele Regoli (Eur. J. Oper. Res., 2021)

Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. - Alessandro Castelnovo; Riccardo Crupi; Nicole Inverardi; Daniele Regoli; Andrea Cosentini (BEWARE@AI*IA, 2022)

Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users. - Riccardo Crupi; Beatriz San Miguel González; Alessandro Castelnovo; Daniele Regoli (ICAART (2), 2022)

Bond-CDS implied rating systems. - Tommaso Colozza; Stefano Marmi; Aldo Nassigh; Daniele Regoli (Inf. Sci., 2022)

Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper). - Alessandro Castelnovo; Riccardo Crupi; Fabio Mercorio; Mario Mezzanzanica; Daniele Potertì; Daniele Regoli (AIABI@AI*IA, 2023)

An Open-Source Toolkit to Generate Biased Datasets. - Joachim Baumann 002; Alessandro Castelnovo; Riccardo Crupi; Nicole Inverardi; Daniele Regoli (EWAF, 2023)

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. - Joachim Baumann 002; Alessandro Castelnovo; Riccardo Crupi; Nicole Inverardi; Daniele Regoli (FAccT, 2023)

Bias On Demand: Investigating Bias with a Synthetic Data Generator. - Joachim Baumann 002; Alessandro Castelnovo; Andrea Cosentini; Riccardo Crupi; Nicole Inverardi; Daniele Regoli (IJCAI, 2023)

Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms. - Alessandro Castelnovo; Nicole Inverardi; Gabriele Nanino; Ilaria Giuseppina Penco; Daniele Regoli (CoRR, 2023)

Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness. - Yuri Nakao; Lorenzo Strappelli; Simone Stumpf; Aisha Naseer; Daniele Regoli; Giulia Del Gamba (Int. J. Hum. Comput. Interact., 2023)

Fair Enough? A Map of the Current Limitations of the Requirements to Have Fair Algorithms (Short paper). - Daniele Regoli; Alessandro Castelnovo; Nicole Inverardi; Gabriele Nanino; Ilaria Giuseppina Penco (DP@AI*IA, 2024)

Unraveling Anomalies: Explaining Outliers with DTOR. - Riccardo Crupi; Daniele Regoli; Alessandro Damiano Sabatino; Immacolata Marano; Massimiliano Brinis; Luca Albertazzi; Andrea Cirillo; Andrea Claudio Cosentini (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Integrating XAI for Predictive Conflict Analytics. - Luca Macis; Marco Tagliapietra; Alessandro Castelnovo; Daniele Regoli; Greta Greco; Andrea Claudio Cosentini; Paola Pisano; Edoardo Carroccetto (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

DTOR: Decision Tree Outlier Regressor to explain anomalies. - Riccardo Crupi; Daniele Regoli; Alessandro Damiano Sabatino; Immacolata Marano; Massimiliano Brinis; Luca Albertazzi; Andrea Cirillo; Andrea Claudio Cosentini (CoRR, 2024)

Disambiguation of company names via deep recurrent networks. - Alessandro Basile; Riccardo Crupi; Michele Grasso; Alessandro Mercanti; Daniele Regoli; Simone Scarsi; Shuyi Yang; Andrea Cosentini (Expert Syst. Appl., 2024)

Counterfactual explanations as interventions in latent space. - Riccardo Crupi; Alessandro Castelnovo; Daniele Regoli; Beatriz San Miguel González (Data Min. Knowl. Discov., 2024)

Evaluative Item-Contrastive Explanations in Rankings. - Alessandro Castelnovo; Riccardo Crupi; Nicolò Mombelli; Gabriele Nanino; Daniele Regoli (Cogn. Comput., 2024)