45 citations · 133 across the 8 of their papers we have counts for
8 papers
Explicit vs. Implicit Biographies: Evaluating and Adapting LLM Information Extraction on Wikidata-Derived Texts
Alessandra Stramiglio, Andrea Schimmenti, Valentina Pasqual +3
Text Implicitness has always been challenging in Natural Language Processing (NLP), with traditional methods relying on explicit statements to identify entities and their relations…
Foreseeing the Impact of the Proposed AI Act on the Sustainability and Safety of Critical Infrastructures
Francesco Sovrano, Giulio Masetti
The AI Act has been recently proposed by the European Commission to regulate the use of AI in the EU, especially on high-risk applications, i.e. systems intended to be used as safe…
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation
Francesco Sovrano, Fabio Vitali
We propose a new method for explanations in Artificial Intelligence (AI) and a tool to test its expressive power within a user interface. In order to bridge the gap between philoso…
Modelling GDPR-Compliant Explanations for Trustworthy AI
Francesco Sovrano, Fabio Vitali, Monica Palmirani
Through the General Data Protection Regulation (GDPR), the European Union has set out its vision for Automated Decision- Making (ADM) and AI, which must be reliable and human-centr…
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
Francesco Sovrano, Fabio Vitali
Explainable AI was born as a pathway to allow humans to explore and understand the inner working of complex systems. However, establishing what is an explanation and objectively ev…
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
Francesco Sovrano, Monica Palmirani, Fabio Vitali
The main goal of this research is to produce a useful software for United Nations (UN), that could help to speed up the process of qualifying the UN documents following the Sustain…
Combining Experience Replay with Exploration by Random Network Distillation
Francesco Sovrano
Our work is a simple extension of the paper "Exploration by Random Network Distillation". More in detail, we show how to efficiently combine Intrinsic Rewards with Experience Repla…
Crawling in Rogue's dungeons with (partitioned) A3C
Andrea Asperti, Daniele Cortesi, Francesco Sovrano
Rogue is a famous dungeon-crawling video-game of the 80ies, the ancestor of its gender. Rogue-like games are known for the necessity to explore partially observable and always diff…