5 papers
Optimization of Deep Learning Model for Denoising Dose Profiles in Proton Therapy
Junaid Jawaid, Matteo Spezialetti, Gabriele Libardi +2
Proton therapy offers a dosimetric advantage over conventional radiotherapy through the Bragg peak, enabling precise dose delivery to the tumour while sparing surrounding tissue. M…
Explaining Neural Networks in Preference Learning: a Post-hoc Inductive Logic Programming Approach
Daniele Fossemò, Filippo Mignosi, Giuseppe Placidi +3
In this paper, we propose using Learning from Answer Sets to approximate black-box models, such as Neural Networks (NN), in the specific case of learning user preferences. We speci…
AI-augmented Automation for Real Driving Prediction: an Industrial Use Case
Romina Eramo, Hamzeh Eyal Salman, Matteo Spezialetti +3
The risen complexity of automotive systems requires new development strategies and methods to master the upcoming challenges. Traditional methods need thus to be changed by an incr…
On the -Hamming and -Edit Distances
Chiara Epifanio, Luca Forlizzi, Francesca Marzi +3
In this paper we consider the weighted -Hamming and -Edit distances, that are natural generalizations of the classical Hamming and Edit distances. As main results of this pap…
Entropy and Compression: A simple proof of an inequality of Khinchin-Ornstein-Shields
Riccardo Aragona, Francesca Marzi, Filippo Mignosi +1
This paper concerns the folklore statement that ``entropy is a lower bound for compression''. More precisely we derive from the entropy theorem a simple proof of a pointwise inequa…