Riccardo Crupi

According to our database, Riccardo Crupi authored at least 21 papers between 2015 and 2024.

Collaborative distances:

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

2024

Evaluative Item-Contrastive Explanations in Rankings.

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

Cogn. Comput., November, 2024

Counterfactual explanations as interventions in latent space.

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

Data Min. Knowl. Discov., September, 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

HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts.

Emmanuele Lacavalla, Shuyi Yang, Riccardo Crupi, Joseph E. Gonzalez

CoRR, 2024

Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals.

Sergio Caprioli, Jacopo Foschi, Riccardo Crupi, Alessandro Damiano Sabatino

CoRR, 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

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

Riccardo Crupi

CoRR, 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

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2023

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

Riccardo Crupi, Giuseppe Dilillo, Elisabetta Bissaldi, Fabrizio Fiore, Andrea Vacchi

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

Preserving Utility in Fair Top-k Ranking with Intersectional Bias.

Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 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

Quantifying Credit Portfolio Sensitivity to Asset Correlations With Interpretable Generative Neural Networks.

Sergio Caprioli, Emanuele Cagliero, Riccardo Crupi

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.

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

The zoo of Fairness metrics in Machine Learning.

Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli

CoRR, 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

An Ecological Studybased on Textile Sensory Platforms to Improve Safety and Well-Being at Work.

Rita Paradiso, Riccardo Crupi, Maria Pacelli, Mark Saunder, Gabriel M. Cuervo

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.

Riccardo Crupi, Tommaso Faetti, Rita Paradiso

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015