Foto del docente

Francesco Sovrano

PhD Student

Department of Computer Science and Engineering

Teaching tutor

Department of Computer Science and Engineering

Academic discipline: INF/01 Informatics

Publications

Sovrano, Francesco; Palmirani, Monica; Distefano, Biagio; Sapienza, Salvatore; Vitali, Fabio, A dataset for evaluating legal question answering on private international law, in: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law, New York, Association for Computing Machinery, 2021, pp. 230 - 234 (atti di: International Conference on Artificial Intelligence and Law, São Paulo, Brazil, June 21 - 25, 2021) [Contribution to conference proceedings]Open Access

Sovrano, Francesco; Vitali, Fabio, From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation, in: IUI '21: 26th International Conference on Intelligent User Interfaces, 2021, pp. 81 - 91 (atti di: IUI '21: 26th International Conference on Intelligent User Interfaces, College Station TX USA, April, 2021) [Contribution to conference proceedings]

Sovrano, Francesco; Vitali, Fabio; Palmirani, Monica, Making Things Explainable vs Explaining: Requirements and Challenges Under the GDPR, in: AI Approaches to the Complexity of Legal Systems XI-XII, Madrid, Víctor Rodríguez-Doncel, Monica Palmirani, Michał Araszkiewicz, Pompeu Casanovas, Ugo Pagallo, Giovanni Sartor, 2021, pp. 169 - 182 (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE) [Chapter or essay]

Asperti, Andrea; Cortesi, Daniele; De Pieri, Carlo; Pedrini, Gianmaria; Sovrano, Francesco, Crawling in Rogue's Dungeons With Deep Reinforcement Techniques, «IEEE TRANSACTIONS ON GAMES», 2020, 12, pp. 177 - 186 [Scientific article]

Sovrano, Francesco; Palmirani, Monica; Vitali, Fabio, Deep learning based multi-label text classification of UNGA resolutions, in: ICEGOV 2020: Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance, New York, ACM Association for Computing Machinery, 2020, pp. 686 - 695 (atti di: ICEGOV 2020: International Conference on Theory and Practice of Electronic Governance, Athen, 23-25 September 2020) [Contribution to conference proceedings]Open Access

Palmirani, Monica; Bincoletto, Giorgia; Leone, Valentina; Sapienza, Salvatore; Sovrano, Francesco, Hybrid Refining Approach of PrOnto Ontology, in: Electronic Government and the Information Systems Perspective., Cham, Springer, 2020, 12394, pp. 3 - 17 (atti di: 9th International Conference on Electronic Government and the Information Systems Perspective. EGOVIS 2020, Bratislava, Slovakia, September 14 - 17, 2020) [Contribution to conference proceedings]

Francesco Sovrano, Monica Palmirani, Fabio Vitali, Legal Knowledge Extraction for Knowledge Graph Based Question-Answering, in: Legal Knowledge and Information Systems JURIX 2020: The Thirty-third Annual Conference, Brno, Czech Republic, December 9–11, 2020, Amsterdam, IOS, 2020, 334, pp. 143 - 153 (atti di: Legal Knowledge and Information Systems (JURIX 2020), 33rd International Conference., Brno, Czech Republic, December 9–11, 2020) [Contribution to conference proceedings]Open Access

Sovrano, Francesco; Vitali, Fabio; Palmirani, Monica, Modelling GDPR-Compliant Explanations for Trustworthy AI, in: Electronic Government and the Information Systems Perspective, Cham, Springer, 2020, 12394, pp. 219 - 233 (atti di: International Conference on Electronic Government and the Information Systems Perspective. EGOVIS 2020, Bratislava, September 14 - 17, 2020) [Contribution to conference proceedings]

Sovrano, Francesco, Combining Experience Replay with Exploration by Random Network Distillation, in: 2019 IEEE Conference on Games (CoG), 2019, pp. 1 - 8 (atti di: 2019 IEEE Conference on Games (CoG), London, UK, 20-23 August) [Contribution to conference proceedings]

Asperti, Andrea; Cortesi, Daniele; Sovrano, Francesco, Crawling in Rogue’s Dungeons with (Partitioned) A3C, in: Machine Learning, Optimization, and Data Science - 4th International Conference, {LOD} 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers, Springer, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2019, 11331, pp. 264 - 275 (atti di: Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018) [Contribution to conference proceedings]

Palmirani Monica; Bincoletto Giorgia; Leone Valentina; Sapienza Salvatore; Sovrano Francesco, PrOnto Ontology Refinement Through Open Knowledge Extraction, in: Legal Knowledge and Information Systems. JURIX 2019. The Thirty-second Annual Conference, Amsterdam, IOS Press, 2019, 322, pp. 205 - 210 (atti di: Jurix 2019, Madrid, 11/12/2019) [Contribution to conference proceedings]Open Access

Francesco Sovrano, Fabio Vitali, Monica Palmirani, The difference between Explainable and Explaining: requirements and challenges under the GDPR, in: XAILA 2019 EXplainable AI in Law 2019. Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), Aachen, CEUR-WS.org, 2019, 2681, pp. 1 - 11 (atti di: 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), Madrid, Spain, December 11, 2019) [Contribution to conference proceedings]Open Access

Asperti, Andrea; Carlo De Pieri, ; Maldini, Mattia; Gianmaria, Pedrini; Francesco, Sovrano, A Modular Deep-learning Environment for Rogue, «WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS», 2017, 12, pp. 362 - 373 [Scientific article]

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