Riccardo Crupi

Orcid: 0009-0005-6714-5161

According to our database1, Riccardo Crupi authored at least 18 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

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

Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes.
CoRR, 2024

2023
Evaluative Item-Contrastive Explanations in Rankings.
CoRR, 2023

Searching for long faint astronomical high energy transients: a data driven approach.
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

Preserving Utility in Fair Top-k Ranking with Intersectional Bias.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 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

Quantifying Credit Portfolio Sensitivity to Asset Correlations With Interpretable Generative Neural Networks.
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
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
Counterfactual Explanations as Interventions in Latent Space.
CoRR, 2021

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

2020
BeFair: Addressing Fairness in the Banking Sector.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
An Ecological Studybased on Textile Sensory Platforms to Improve Safety and Well-Being at Work.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2015
Preliminary evaluation of Wearable Wellness System for Obstructive Sleep Apnea detection.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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