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Francesco Sovrano
Francesco Sovrano
ETH Zurich, Collegium Helveticum
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
Metrics, explainability and the European AI act proposal
F Sovrano, S Sapienza, M Palmirani, F Vitali
J 5 (1), 126-138, 2022
120*2022
Legal knowledge extraction for knowledge graph based question-answering
F Sovrano, M Palmirani, F Vitali
[JURIX'2020] Legal Knowledge and Information Systems: The Thirty-third …, 2020
742020
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
682023
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
F Sovrano, F Vitali
Data Mining and Knowledge Discovery 38 (5), 3141-3168, 2024
502024
Deep learning based multi-label text classification of UNGA resolutions
F Sovrano, M Palmirani, F Vitali
[ICEGOV'2020] 13th international conference on theory and practice of …, 2020
472020
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
F Sovrano, S Sapienza, M Palmirani, F Vitali
[JURIX'2021] Legal Knowledge and Information Systems: Thirty-fourth Annual …, 2022
432022
Making things explainable vs explaining: Requirements and challenges under the GDPR
F Sovrano, F Vitali, M Palmirani
[AICOL-XII @ JURIX'2020] AI Approaches to the Complexity of Legal Systems XI …, 2018
392018
Modelling GDPR-compliant explanations for trustworthy AI
F Sovrano, F Vitali, M Palmirani
[EGOVIS'2020] Electronic Government and the Information Systems Perspective …, 2020
372020
From philosophy to interfaces: an explanatory method and a tool inspired by achinstein’s theory of explanation
F Sovrano, F Vitali
[IUI'2021] 26th International Conference on Intelligent User Interfaces, 81-91, 2021
322021
Toward eliminating hallucinations: Gpt-based explanatory ai for intelligent textbooks and documentation
F Sovrano, K Ashley, A Bacchelli
[iTextbooks @ AIED’2023] Fifth Workshop on Intelligent Textbooks (iTextbooks …, 2023
262023
How to quantify the degree of explainability: experiments and practical implications
F Sovrano, F Vitali
[FUZZ-IEEE'2022] 2022 IEEE International Conference on Fuzzy Systems, 1-9, 2022
212022
A dataset for evaluating legal question answering on private international law
F Sovrano, M Palmirani, B Distefano, S Sapienza, F Vitali
[ICAIL'2021] Eighteenth International Conference on Artificial Intelligence …, 2021
212021
Combining experience replay with exploration by random network distillation
F Sovrano
[CoG'2019] IEEE Conference on Games, London, United Kingdom, August 20-23 …, 2019
212019
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
F Sovrano, F Vitali
ACM Trans. Interact. Intell. Syst., 2021
202021
Explanation-aware experience replay in rule-dense environments
F Sovrano, A Raymond, A Prorok
IEEE Robotics and Automation Letters 7 (2), 898-905, 2021
15*2021
Hybrid AI framework for legal analysis of the EU legislation corrigenda
M Palmirani, F Sovrano, D Liga, S Sapienza, F Vitali
[JURIX'2021] Legal Knowledge and Information Systems: The Thirty-fourth …, 2021
152021
Hybrid refining approach of pronto ontology
M Palmirani, G Bincoletto, V Leone, S Sapienza, F Sovrano
[EGOVIS'2020] Electronic Government and the Information Systems Perspective …, 2020
14*2020
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
142019
The difference between explainable and explaining: requirements and challenges under the GDPR
F Sovrano, F Vitali, M Palmirani
[XAILA @ JURIX'2019] 2nd EXplainable AI in Law Workshop co-located with 32nd …, 2019
132019
Crawling in rogue’s dungeons with (partitioned) a3c
A Asperti, D Cortesi, F Sovrano
[LOD'2018] Machine Learning, Optimization, and Data Science: 4th …, 2019
132019
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Articles 1–20