Crawling in Rogue's Dungeons with (Partitioned) A3C. - Andrea Asperti; Daniele Cortesi; Francesco Sovrano (LOD, 2018)

Combining Experience Replay with Exploration by Random Network Distillation. - Francesco Sovrano (CoG, 2019)

PrOnto Ontology Refinement Through Open Knowledge Extraction. - Monica Palmirani; Giorgia Bincoletto; Valentina Leone; Salvatore Sapienza; Francesco Sovrano (JURIX, 2019)

The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR. - Francesco Sovrano; Fabio Vitali; Monica Palmirani (XAILA@JURIX, 2019)

Making Things Explainable vs Explaining: Requirements and Challenges Under the GDPR. - Francesco Sovrano; Fabio Vitali; Monica Palmirani (AICOL, 2020)

Hybrid Refining Approach of PrOnto Ontology. - Monica Palmirani; Giorgia Bincoletto; Valentina Leone; Salvatore Sapienza; Francesco Sovrano (EGOVIS, 2020)

Modelling GDPR-Compliant Explanations for Trustworthy AI. - Francesco Sovrano; Fabio Vitali; Monica Palmirani (EGOVIS, 2020)

Deep learning based multi-label text classification of UNGA resolutions. - Francesco Sovrano; Monica Palmirani; Fabio Vitali (ICEGOV, 2020)

Legal Knowledge Extraction for Knowledge Graph Based Question-Answering. - Francesco Sovrano; Monica Palmirani; Fabio Vitali (JURIX, 2020)

Crawling in Rogue's Dungeons With Deep Reinforcement Techniques. - Andrea Asperti; Daniele Cortesi; Carlo De Pieri; Gianmaria Pedrini; Francesco Sovrano (IEEE Trans. Games, 2020)

A dataset for evaluating legal question answering on private international law. - Francesco Sovrano; Monica Palmirani; Biagio Distefano; Salvatore Sapienza; Fabio Vitali (ICAIL, 2021)

From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation. - Francesco Sovrano; Fabio Vitali (IUI, 2021)

Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda. - Monica Palmirani; Francesco Sovrano; Davide Liga; Salvatore Sapienza; Fabio Vitali (JURIX, 2021)

A Survey on Methods and Metrics for the Assessment of Explainability Under the Proposed AI Act. - Francesco Sovrano; Salvatore Sapienza; Monica Palmirani; Fabio Vitali (JURIX, 2021)

YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. - Francesco Sovrano; Kevin D. Ashley; Peter Brusilovsky; Fabio Vitali (iTextbooks@AIED, 2022)

How to Quantify the Degree of Explainability: Experiments and Practical Implications. - Francesco Sovrano; Fabio Vitali (FUZZ-IEEE, 2022)

Foreseeing the Impact of the Proposed AI Act on the Sustainability and Safety of Critical Infrastructures. - Francesco Sovrano; Giulio Masetti (ICEGOV, 2022)

Combining shallow and deep learning approaches against data scarcity in legal domains. - Francesco Sovrano; Monica Palmirani; Fabio Vitali (Gov. Inf. Q., 2022)

Explanation-Aware Experience Replay in Rule-Dense Environments. - Francesco Sovrano; Alex Raymond; Amanda Prorok (IEEE Robotics Autom. Lett., 2022)

Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces. - Francesco Sovrano; Fabio Vitali (ACM Trans. Interact. Intell. Syst., 2022)

Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. - Francesco Sovrano; Kevin D. Ashley; Alberto Bacchelli (iTextbooks@AIED, 2023)

Aligning UN Goals and legal norms in a case weighting system: a case study on environmental crimes in Italy. - Vittoria Pistone; Francesco Sovrano; Biagio Distefano (ICEGOV, 2023)

Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI. - Francesco Sovrano; Fabio Vitali (xAI (1), 2023)

How to explain: from theory to practice. - Francesco Sovrano (2023)

An objective metric for Explainable AI: How and why to estimate the degree of explainability. - Francesco Sovrano; Fabio Vitali (Knowl. Based Syst., 2023)

Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis. - Francesco Sovrano; Michael Lognoul; Giulia Vilone (ECAI, 2024)

An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms. - Francesco Sovrano; Michaël Lognoul; Alberto Bacchelli (ICSE (SEIS), 2024)

On the Explainability of Financial Robo-Advice Systems. - Giulia Vilone; Francesco Sovrano; Michaël Lognoul (xAI (4), 2024)

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

Beyond the lab: An in-depth analysis of real-world practices in government-to-citizen software user documentation. - Francesco Sovrano; Sandro Vonlanthen; Alberto Bacchelli (Inf. Softw. Technol., 2025)

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End". - Francesco Sovrano; Adam Bauer; Alberto Bacchelli (Proc. ACM Softw. Eng., 2025)

Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP. - Francesco Sovrano (CoRR, 2025)

DiscoLQA: zero-shot discourse-based legal question answering on European Legislation. - Francesco Sovrano; Monica Palmirani; Salvatore Sapienza; Vittoria Pistone (Artif. Intell. Law, 2025)

Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act. - Francesco Sovrano; Emmie Hine; Stefano Anzolut; Alberto Bacchelli (Empir. Softw. Eng., 2025)