Daniele Regoli

Orcid: 0000-0003-2711-8343

According to our database1, Daniele Regoli authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Counterfactual explanations as interventions in latent space.
Data Min. Knowl. Discov., September, 2024

Disambiguation of company names via deep recurrent networks.
Expert Syst. Appl., March, 2024

DTOR: Decision Tree Outlier Regressor to explain anomalies.
CoRR, 2024

Integrating XAI for Predictive Conflict Analytics.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Unraveling Anomalies: Explaining Outliers with DTOR.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2023
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness.
Int. J. Hum. Comput. Interact., May, 2023

Evaluative Item-Contrastive Explanations in Rankings.
CoRR, 2023

Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms.
CoRR, 2023

Bias On Demand: Investigating Bias with a Synthetic Data Generator.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

An Open-Source Toolkit to Generate Biased Datasets.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper).
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.
Inf. Sci., 2022

Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation.
Proceedings of 1st Workshop on Bias, 2022

2021
Revealing Pairs-trading opportunities with long short-term memory networks.
Eur. J. Oper. Res., 2021

The zoo of Fairness metrics in Machine Learning.
CoRR, 2021

Design Methods for Artificial Intelligence Fairness and Transparency.
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.
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.
ACM Trans. Web, 2019

2018
$FAKE: Evidence of Spam and Bot Activity in Stock Microblogs on Twitter.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017
Recommender Systems for Banking and Financial Services.
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017


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