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Francesco Sovrano
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Deep learning based multi-label text classification of UNGA resolutions
F Sovrano, M Palmirani, F Vitali
Proceedings of the 13th international conference on theory and practice of …, 2020
152020
Crawling in rogue’s dungeons with (partitioned) a3c
A Asperti, D Cortesi, F Sovrano
International Conference on Machine Learning, Optimization, and Data Science …, 2018
122018
Legal knowledge extraction for knowledge graph based question-answering
F Sovrano, M Palmirani, F Vitali
Legal Knowledge and Information Systems, 143-153, 2020
82020
Modelling GDPR-compliant explanations for trustworthy AI
F Sovrano, F Vitali, M Palmirani
International Conference on Electronic Government and the Information …, 2020
72020
Combining experience replay with exploration by random network distillation
F Sovrano
2019 IEEE conference on games (CoG), 1-8, 2019
72019
Crawling in Rogue's Dungeons With Deep Reinforcement Techniques
A Asperti, D Cortesi, C De Pieri, G Pedrini, F Sovrano
IEEE Transactions on Games 12 (2), 177-186, 2019
72019
From Philosophy to Interfaces: An Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
F Sovrano, F Vitali
26th International Conference on Intelligent User Interfaces, 81-91, 2021
62021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
F Sovrano, F Vitali
arXiv preprint arXiv:2109.05327, 2021
52021
Hybrid refining approach of pronto ontology
M Palmirani, G Bincoletto, V Leone, S Sapienza, F Sovrano
International Conference on Electronic Government and the Information …, 2020
42020
The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR.
F Sovrano, F Vitali, M Palmirani
XAILA@ JURIX, 2019
42019
PrOnto ontology refinement through open knowledge extraction
M Palmirani, G Bincoletto, V Leone, S Sapienza, F Sovrano
Legal Knowledge and Information Systems, 205-210, 2019
42019
Metrics, Explainability and the European AI Act Proposal
F Sovrano, S Sapienza, M Palmirani, F Vitali
J 5 (1), 126-138, 2022
32022
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
F Sovrano, S Sapienza, M Palmirani, F Vitali
Legal Knowledge and Information Systems: JURIX 2021: The Thirty-fourth …, 2022
32022
Making things explainable vs explaining: Requirements and challenges under the GDPR
F Sovrano, F Vitali, M Palmirani
AI Approaches to the Complexity of Legal Systems XI-XII, 169-182, 2020
32020
A modular deep-learning environment for rogue
A Asperti, C De Pieri, M Maldini, G Pedrini, F Sovrano
WSEAS Trans. Syst. Control 12, 362-373, 2017
32017
Explanation-Aware Experience Replay in Rule-Dense Environments
F Sovrano, A Raymond, A Prorok
IEEE Robotics and Automation Letters 7 (2), 898-905, 2021
22021
A dataset for evaluating legal question answering on private international law
F Sovrano, M Palmirani, B Distefano, S Sapienza, F Vitali
Proceedings of the Eighteenth International Conference on Artificial …, 2021
12021
Rogueinabox: A Rogue environment for AI learning
A Asperti, D Cortesi, C De Pieri, G Pedrini, F Sovrano
1
Combining shallow and deep learning approaches against data scarcity in legal domains
F Sovrano, M Palmirani, F Vitali
Government Information Quarterly, 101715, 2022
2022
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
F Sovrano, F Vitali
ACM Trans. Interact. Intell. Syst., 2021
2021
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Artikelen 1–20