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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
372020
Metrics, explainability and the European AI act proposal
F Sovrano, S Sapienza, M Palmirani, F Vitali
J 5 (1), 126-138, 2022
36*2022
Legal knowledge extraction for knowledge graph based question-answering
F Sovrano, M Palmirani, F Vitali
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS 334, 143-153, 2020
322020
An objective metric for explainable AI: how and why to estimate the degree of explainability
F Sovrano, F Vitali
Knowledge-Based Systems 278, 110866, 2023
212023
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
212022
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
212021
Modelling GDPR-compliant explanations for trustworthy AI
F Sovrano, F Vitali, M Palmirani
Electronic Government and the Information Systems Perspective: 9th …, 2020
192020
Combining experience replay with exploration by random network distillation
F Sovrano
2019 IEEE conference on games (CoG), 1-8, 2019
182019
Making things explainable vs explaining: Requirements and challenges under the GDPR
F Sovrano, F Vitali, M Palmirani
International Workshop on AI Approaches to the Complexity of Legal Systems …, 2018
162018
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
F Sovrano, F Vitali
Data Mining and Knowledge Discovery, 1-28, 2022
142022
Crawling in rogue’s dungeons with (partitioned) a3c
A Asperti, D Cortesi, F Sovrano
Machine Learning, Optimization, and Data Science: 4th International …, 2019
132019
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
112019
The difference between explainable and explaining: requirements and challenges under the GDPR
F Sovrano, F Vitali, M Palmirani
CEUR WORKSHOP PROCEEDINGS 2681, 1-11, 2019
112019
How to quantify the degree of explainability: experiments and practical implications
F Sovrano, F Vitali
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-9, 2022
102022
Explanation-aware experience replay in rule-dense environments
F Sovrano, A Raymond, A Prorok
IEEE Robotics and Automation Letters 7 (2), 898-905, 2021
92021
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
92020
Combining shallow and deep learning approaches against data scarcity in legal domains
F Sovrano, M Palmirani, F Vitali
Government Information Quarterly 39 (3), 101715, 2022
82022
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
F Sovrano, F Vitali
ACM Trans. Interact. Intell. Syst., 2021
82021
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
82021
PrOnto ontology refinement through open knowledge extraction
M Palmirani, G Bincoletto, V Leone, S Sapienza, F Sovrano
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS 322, 205-210, 2019
82019
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