Daniele Regoli

According to our database, Daniele Regoli authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 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

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., May, 2023

Evaluative Item-Contrastive Explanations in Rankings.

Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli

CoRR, 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

Bias On Demand: Investigating Bias with a Synthetic Data Generator.

Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

An Open-Source Toolkit to Generate Biased Datasets.

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper).

Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Daniele Regoli

Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), 2023

2022

Bond-CDS implied rating systems.

Tommaso Colozza, Stefano Marmi, Aldo Nassigh, Daniele Regoli

Inf. Sci., 2022

Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users.

Riccardo Crupi, Beatriz San Miguel González, Alessandro Castelnovo, Daniele Regoli

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation.

Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini

Proceedings of 1st Workshop on Bias, 2022

2021

Revealing Pairs-trading opportunities with long short-term memory networks.

Andrea Flori, Daniele Regoli

Eur. J. Oper. Res., 2021

Counterfactual Explanations as Interventions in Latent Space.

Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González

CoRR, 2021

The zoo of Fairness metrics in Machine Learning.

Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli

CoRR, 2021

Design Methods for Artificial Intelligence Fairness and Transparency.

Simone Stumpf, Lorenzo Strappelli, Subeida Ahmed, Yuri Nakao, Aisha Naseer, Giulia Del Gamba, Daniele Regoli

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

2020

BeFair: Addressing Fairness in the Banking Sector.

Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

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

2018

$FAKE: Evidence of Spam and Bot Activity in Stock Microblogs on Twitter.

Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017

Recommender Systems for Banking and Financial Services.

Andrea Gigli, Fabrizio Lillo, Daniele Regoli

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017