On this page, you can find a selection of my scientific papers and invited talks. For a more comprehensive and up-to-date list, have a look at my Google Scholar page at https://scholar.google.it/citations?user=qb2YFi4AAAAJ&hl=en&oi=ao.

2023

D'Asaro, Fabio Aurelio; Bikakis, Antonis; Dickens, Luke; Miller, Rob
Deep Reinforcement Learning for Robotic Approaching Behavior Influenced by User Activity and Disengagement
International Journal of Approximate Reasoning

Raggioli, Luca; D'Asaro, Fabio Aurelio; Rossi, Silvia
Deep Reinforcement Learning for Robotic Approaching Behavior Influenced by User Activity and Disengagement
International Journal of Social Robotics

Mileva, Zlatina; Bikakis, Antonis; D’Asaro, Fabio Aurelio; Law, Mark; Russo, Alessandra
A Unifying Framework for Learning Argumentation Semantics
arXiv preprints

Pedrazzoli, Francesco; D'Asaro, Fabio Aurelio; Badino, Massimiliano
How do Decision Support Systems Nudge?
International Conference on Computer Ethics (CEPE-2023)

2022

D'Asaro, Fabio Aurelio; Raggioli, Luca; Malek, Salim; Grazioso, Marco; Rossi, Silvia
An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems
Theory and Practice of Logic Programming

2021

Termine, Alberto; D'Asaro, Fabio Aurelio; Primiero, Giuseppe
Modelling accuracy and trustworthiness of explaining agents
Proceedings of KR 2021.

D'Asaro, Fabio Aurelio; Baldi, Paolo; Primiero, Giuseppe
Introducing k-lingo: a k-depth bounded version of ASP system clingo
Proceedings of KR 2021.

D'Asaro, Fabio Aurelio; Primiero, Giuseppe
Probabilistic Typed Natural Deduction for Trustworthy Computations
Proceedings of the 22nd International Workshop on Trust in Agent Societies (TRUST2021 @ AAMAS), 2021.

2020

D’Asaro, Fabio Aurelio; Bikakis, Antonis; Dickens, Luke; Miller, Rob
Probabilistic reasoning about epistemic action narratives
Artificial Intelligence (AIJ), 287 (103352), 2020, ISSN: 0004-3702.

D’Asaro, Fabio Aurelio; Spezialetti, Matteo; Raggioli, Luca; Rossi, Silvia
Towards an Inductive Logic Programming Approach for Explaining Black-Box Preference Learning Systems
Proceedings of KR 2020.

2017

D’Asaro, Fabio Aurelio; Bikakis, Antonis; Dickens, Luke; Miller, Rob
Foundations for a Probabilistic Event Calculus
14th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR), 2017

2016

D’Asaro, Fabio Aurelio; Di Gangi, Mattia Antonino; Perticone, Valerio; Tabacchi, Marco Elio
Computational Intelligence and Citizen Communication in the Smart City
Informatik-Spektrum, 40 (1), pp. 25–34, 2016.

Invited Talks and Demos

• June 2023: Invited talk on Explainable AI applications of Inductive Logic Programming at the University of Salento

• April 2023: Invited talk on Explainable AI applications of Inductive Logic Programming at the University of Lugano

• March 2022: Invited talk on "Probabilistic Epistemic Reasoning About Actions" at UCL, UK

• Jan 2022: Invited talk on explaining black-boxes using ILASP at the University of Urbino, Italy

• Dec 2021: Invited talk on explaining black-boxes using ILASP at the University of Trieste, Italy

• Jul 2021: Invited presentation of"Probabilistic reasoning about epistemic action narratives" at IJCAI 2021

• Apr 2021: Invited demo at the Lorenz Center Workshop on Explainable Medical AI: Ethics, Epistemology, and Formal Methods

• Jun 2020: Invited talk on explaining black-boxes using ILASP at Imperial College London, UK