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2020 – today
- 2024
[j2]Riccardo Crupi
, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González:
Counterfactual explanations as interventions in latent space. Data Min. Knowl. Discov. 38(5): 2733-2769 (2024)- [j1]Alessandro Basile, Riccardo Crupi, Michele Grasso, Alessandro Mercanti, Daniele Regoli, Simone Scarsi, Shuyi Yang, Andrea Cosentini:
Disambiguation of company names via deep recurrent networks. Expert Syst. Appl. 238(Part C): 122035 (2024) - [c12]Riccardo Crupi, Daniele Regoli, Alessandro Damiano Sabatino, Immacolata Marano, Massimiliano Brinis, Luca Albertazzi, Andrea Cirillo, Andrea Claudio Cosentini:
Unraveling Anomalies: Explaining Outliers with DTOR. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 257-264 - [i11]Riccardo Crupi:
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes. CoRR abs/2401.15632 (2024) - [i10]Riccardo Crupi, Daniele Regoli, Alessandro Damiano Sabatino, Immacolata Marano, Massimiliano Brinis, Luca Albertazzi, Andrea Cirillo, Andrea Claudio Cosentini:
DTOR: Decision Tree Outlier Regressor to explain anomalies. CoRR abs/2403.10903 (2024) - [i9]Sergio Caprioli, Jacopo Foschi, Riccardo Crupi, Alessandro Damiano Sabatino:
Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals. CoRR abs/2407.20047 (2024) - 2023
- [c11]Sergio Caprioli, Emanuele Cagliero, Riccardo Crupi:
Quantifying Credit Portfolio Sensitivity to Asset Correlations With Interpretable Generative Neural Networks. AIABI@AI*IA 2023 - [c10]Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Daniele Regoli:
Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper). AIABI@AI*IA 2023 - [c9]Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica:
Preserving Utility in Fair Top-k Ranking with Intersectional Bias. BIAS 2023: 59-73 - [c8]Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli:
An Open-Source Toolkit to Generate Biased Datasets. EWAF 2023 - [c7]Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli:
Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. FAccT 2023: 1002-1013 - [c6]Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli:
Bias On Demand: Investigating Bias with a Synthetic Data Generator. IJCAI 2023: 7110-7114 - [i8]Alessandro Basile, Riccardo Crupi, Michele Grasso, Alessandro Mercanti, Daniele Regoli, Simone Scarsi, Shuyi Yang, Andrea Cosentini:
Disambiguation of Company names via Deep Recurrent Networks. CoRR abs/2303.05391 (2023) - [i7]Riccardo Crupi, Giuseppe Dilillo, Elisabetta Bissaldi, Fabrizio Fiore, Andrea Vacchi:
Searching for long faint astronomical high energy transients: a data driven approach. CoRR abs/2303.15936 (2023) - [i6]Sergio Caprioli, Emanuele Cagliero, Riccardo Crupi:
Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks. CoRR abs/2309.08652 (2023) - [i5]Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli:
Evaluative Item-Contrastive Explanations in Rankings. CoRR abs/2312.10094 (2023) - 2022
- [c5]Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini:
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. BEWARE@AI*IA 2022: 46-60 - [c4]Riccardo Crupi, Beatriz San Miguel González, Alessandro Castelnovo, Daniele Regoli:
Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users. ICAART (2) 2022: 24-32 - [i4]Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini:
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation. CoRR abs/2209.05889 (2022) - 2021
- [i3]Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González:
BeFair: Addressing Fairness in the Banking Sector. CoRR abs/2102.02137 (2021) - [i2]Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli:
The zoo of Fairness metrics in Machine Learning. CoRR abs/2106.00467 (2021) - [i1]Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González:
Counterfactual Explanations as Interventions in Latent Space. CoRR abs/2106.07754 (2021) - 2020
- [c3]Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González:
BeFair: Addressing Fairness in the Banking Sector. IEEE BigData 2020: 3652-3661
2010 – 2019
- 2019
- [c2]Rita Paradiso, Riccardo Crupi, Maria Pacelli, Mark Saunder, Gabriel M. Cuervo:
An Ecological Studybased on Textile Sensory Platforms to Improve Safety and Well-Being at Work. EMBC 2019: 1741-1744 - 2015
- [c1]Riccardo Crupi, Tommaso Faetti, Rita Paradiso:
Preliminary evaluation of Wearable Wellness System for Obstructive Sleep Apnea detection. EMBC 2015: 4142-4145
Coauthor Index
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