Παρακολούθηση
Francesco Sovrano
Francesco Sovrano
ETH Zurich, Collegium Helveticum
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ethz.ch - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Metrics, explainability and the European AI act proposal
F Sovrano, S Sapienza, M Palmirani, F Vitali
J 5 (1), 126-138, 2022
69*2022
Legal knowledge extraction for knowledge graph based question-answering
F Sovrano, M Palmirani, F Vitali
Legal knowledge and information systems, 143-153, 2020
492020
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
422020
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
352023
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
312022
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
262018
Modelling GDPR-compliant explanations for trustworthy AI
F Sovrano, F Vitali, M Palmirani
Electronic Government and the Information Systems Perspective: 9th …, 2020
252020
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
242024
From philosophy to interfaces: an explanatory method and a tool inspired by achinstein’s theory of explanation
F Sovrano, F Vitali
Proceedings of the 26th International Conference on Intelligent User …, 2021
242021
Combining experience replay with exploration by random network distillation
F Sovrano
2019 IEEE conference on games (CoG), 1-8, 2019
202019
Toward eliminating hallucinations: Gpt-based explanatory ai for intelligent textbooks and documentation
F Sovrano, K Ashley, A Bacchelli
CEUR Workshop Proceedings, 54-65, 2023
172023
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
162022
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
F Sovrano, F Vitali
ACM Trans. Interact. Intell. Syst., 2021
152021
Crawling in rogue’s dungeons with (partitioned) a3c
A Asperti, D Cortesi, F Sovrano
Machine Learning, Optimization, and Data Science: 4th International …, 2019
142019
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
132021
Explanation-aware experience replay in rule-dense environments
F Sovrano, A Raymond, A Prorok
IEEE Robotics and Automation Letters 7 (2), 898-905, 2021
122021
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
122019
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
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
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
92019
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