The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests

F Manzella, G Pagliarini, G Sciavicco, IE Stan - Artificial Intelligence in …, 2023 - Elsevier
Symbolic learning is the logic-based approach to machine learning, and its mission is to
provide algorithms and methodologies to extract logical information from data and express it …

Towards an objective theory of subjective liking: a first step in understanding the sense of beauty

S Mazzacane, M Coccagna, F Manzella, G Pagliarini… - Plos one, 2023 - journals.plos.org
The study of the electroencephalogram signals recorded from subjects during an experience
is a way to understand the brain processes that underlie their physical and emotional …

Modal Symbolic Learning: from theory to practice

G Pagliarini - 2024 - repository.unipr.it
Il Symbolic Learning (SL) studia algoritmi di apprendimento per modelli computazionali che
si basano sulla logica formale (o logica simbolica) e, come tale, fornisce modelli di …

Foundations of modal symbolic learning

IE Stan - 2023 - repository.unipr.it
Traditional symbolic learning is the sub-field of machine learning that aims to learn symbolic
models from structured data, representing propositional logic theories, and its investigation …