The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests
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 …
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 …
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 …
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 …
models from structured data, representing propositional logic theories, and its investigation …