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Daniele Regoli
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2020 – today
- 2024
- [j7]Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli:
Evaluative Item-Contrastive Explanations in Rankings. Cogn. Comput. 16(6): 3035-3050 (2024) - [j6]Riccardo Crupi
, Alessandro Castelnovo, Daniele Regoli
Counterfactual explanations as interventions in latent space. Data Min. Knowl. Discov. 38(5): 2733-2769 (2024) - [j5]Alessandro Basile, Riccardo Crupi
Disambiguation of company names via deep recurrent networks. Expert Syst. Appl. 238(Part C): 122035 (2024) - [c12]Luca Macis, Marco Tagliapietra, Alessandro Castelnovo, Daniele Regoli, Greta Greco, Andrea Claudio Cosentini, Paola Pisano, Edoardo Carroccetto:
Integrating XAI for Predictive Conflict Analytics. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 105-112 - [c11]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 - [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) - 2023
- [j4]Yuri Nakao
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness. Int. J. Hum. Comput. Interact. 39(9): 1762-1788 (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]Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli:
An Open-Source Toolkit to Generate Biased Datasets. EWAF 2023 - [c8]Joachim Baumann
Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. FAccT 2023: 1002-1013 - [c7]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 - [i9]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) - [i8]Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco, Daniele Regoli:
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms. CoRR abs/2311.12435 (2023) - [i7]Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli:
Evaluative Item-Contrastive Explanations in Rankings. CoRR abs/2312.10094 (2023) - 2022
- [j3]Tommaso Colozza, Stefano Marmi
Bond-CDS implied rating systems. Inf. Sci. 608: 96-113 (2022) - [c6]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 - [c5]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 - [i6]Yuri Nakao, Lorenzo Strappelli, Simone Stumpf, Aisha Naseer, Daniele Regoli, Giulia Del Gamba:
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness. CoRR abs/2206.00474 (2022) - [i5]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
- [j2]Andrea Flori
Revealing Pairs-trading opportunities with long short-term memory networks. Eur. J. Oper. Res. 295(2): 772-791 (2021) - [c4]Simone Stumpf, Lorenzo Strappelli, Subeida Ahmed, Yuri Nakao, Aisha Naseer, Giulia Del Gamba, Daniele Regoli:
Design Methods for Artificial Intelligence Fairness and Transparency. IUI Workshops 2021 - [i4]Alessandro Castelnovo
BeFair: Addressing Fairness in the Banking Sector. CoRR abs/2102.02137 (2021) - [i3]Alessandro Castelnovo
The zoo of Fairness metrics in Machine Learning. CoRR abs/2106.00467 (2021) - [i2]Riccardo Crupi, Alessandro Castelnovo
Counterfactual Explanations as Interventions in Latent Space. CoRR abs/2106.07754 (2021) - 2020
- [c3]Alessandro Castelnovo
BeFair: Addressing Fairness in the Banking Sector. IEEE BigData 2020: 3652-3661
2010 – 2019
- 2019
- [j1]Stefano Cresci
Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter. ACM Trans. Web 13(2): 11:1-11:27 (2019) - 2018
- [c2]Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi:
$FAKE: Evidence of Spam and Bot Activity in Stock Microblogs on Twitter. ICWSM 2018: 580-583 - [i1]Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi:
Cashtag piggybacking: uncovering spam and bot activity in stock microblogs on Twitter. CoRR abs/1804.04406 (2018) - 2017
- [c1]Andrea Gigli, Fabrizio Lillo, Daniele Regoli:
Recommender Systems for Banking and Financial Services. RecSys Posters 2017
Coauthor Index
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last updated on 2024-12-10 20:50 CET by the dblp team
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