| 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 | 23 | 2020 |
| Legal knowledge extraction for knowledge graph based question-answering F Sovrano, M Palmirani, F Vitali Legal Knowledge and Information Systems, 143-153, 2020 | 15 | 2020 |
| Crawling in rogue’s dungeons with (partitioned) a3c A Asperti, D Cortesi, F Sovrano Machine Learning, Optimization, and Data Science: 4th International …, 2019 | 12 | 2019 |
| Modelling GDPR-compliant explanations for trustworthy AI F Sovrano, F Vitali, M Palmirani Electronic Government and the Information Systems Perspective: 9th …, 2020 | 11 | 2020 |
| 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 | 9 | 2021 |
| Metrics, explainability and the European AI act proposal F Sovrano, S Sapienza, M Palmirani, F Vitali J 5 (1), 126-138, 2022 | 8 | 2022 |
| Combining experience replay with exploration by random network distillation F Sovrano 2019 IEEE conference on games (CoG), 1-8, 2019 | 8 | 2019 |
| Hybrid refining approach of pronto ontology M Palmirani, G Bincoletto, V Leone, S Sapienza, F Sovrano Electronic Government and the Information Systems Perspective: 9th …, 2020 | 7 | 2020 |
| The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR. F Sovrano, F Vitali, M Palmirani XAILA@ jurix, 2019 | 7 | 2019 |
| 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 | 7 | 2019 |
| 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 | 6 | 2021 |
| 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: AICOL International …, 2021 | 6 | 2021 |
| 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 | 5 | 2022 |
| 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 | 4 | 2019 |
| Explanation-aware experience replay in rule-dense environments F Sovrano, A Raymond, A Prorok IEEE Robotics and Automation Letters 7 (2), 898-905, 2021 | 3 | 2021 |
| Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces F Sovrano, F Vitali ACM Trans. Interact. Intell. Syst., 2021 | 3 | 2021 |
| 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 | 3 | 2017 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
Fabio VitaliProfessor of Computer Science, University of BolognaVerified email at unibo.it
