Francesco Sovrano

Orcid: 0000-0002-6285-1041

Affiliations:
  • Università di Bologna, Italy


According to our database1, Francesco Sovrano authored at least 30 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data.
Data Min. Knowl. Discov., September, 2024

Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis.
CoRR, 2024

On the Explainability of Financial Robo-Advice Systems.
Proceedings of the Explainable Artificial Intelligence, 2024

An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society, 2024

Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
An objective metric for Explainable AI: How and why to estimate the degree of explainability.
Knowl. Based Syst., October, 2023

How to explain: from theory to practice.
PhD thesis, 2023

Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI.
Proceedings of the Explainable Artificial Intelligence, 2023

Aligning UN Goals and legal norms in a case weighting system: a case study on environmental crimes in Italy.
Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance, 2023

Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation.
Proceedings of the Fifth International Workshop on Intelligent Textbooks 2023 co-located with the 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

2022
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces.
ACM Trans. Interact. Intell. Syst., December, 2022

Explanation-Aware Experience Replay in Rule-Dense Environments.
IEEE Robotics Autom. Lett., 2022

Combining shallow and deep learning approaches against data scarcity in legal domains.
Gov. Inf. Q., 2022

Foreseeing the Impact of the Proposed AI Act on the Sustainability and Safety of Critical Infrastructures.
Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance, 2022

How to Quantify the Degree of Explainability: Experiments and Practical Implications.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education.
Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022 co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022), 2022

2021
A Survey on Methods and Metrics for the Assessment of Explainability Under the Proposed AI Act.
Proceedings of the Legal Knowledge and Information Systems, 2021

Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda.
Proceedings of the Legal Knowledge and Information Systems, 2021

From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

A dataset for evaluating legal question answering on private international law.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

2020
Crawling in Rogue's Dungeons With Deep Reinforcement Techniques.
IEEE Trans. Games, 2020

Legal Knowledge Extraction for Knowledge Graph Based Question-Answering.
Proceedings of the Legal Knowledge and Information Systems, 2020

Deep learning based multi-label text classification of UNGA resolutions.
Proceedings of the ICEGOV 2020: 13th International Conference on Theory and Practice of Electronic Governance, 2020

Modelling GDPR-Compliant Explanations for Trustworthy AI.
Proceedings of the Electronic Government and the Information Systems Perspective, 2020

Hybrid Refining Approach of PrOnto Ontology.
Proceedings of the Electronic Government and the Information Systems Perspective, 2020

Making Things Explainable vs Explaining: Requirements and Challenges Under the GDPR.
Proceedings of the AI Approaches to the Complexity of Legal Systems XI-XII, 2020

2019
The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR.
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), 2019

PrOnto Ontology Refinement Through Open Knowledge Extraction.
Proceedings of the Legal Knowledge and Information Systems, 2019

Combining Experience Replay with Exploration by Random Network Distillation.
Proceedings of the IEEE Conference on Games, 2019

2018
Crawling in Rogue's Dungeons with (Partitioned) A3C.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018


  Loading...