Feature and language selection in temporal symbolic regression for interpretable air quality modelling

E Lucena-Sánchez, G Sciavicco, IE Stan - Algorithms, 2021 - mdpi.com
Air quality modelling that relates meteorological, car traffic, and pollution data is a
fundamental problem, approached in several different ways in the recent literature. In …

Fuzzy Halpern and Shoham's interval temporal logics

W Conradie, D Della Monica, E Muñoz-Velasco… - Fuzzy Sets and …, 2023 - Elsevier
The most representative interval temporal logic, called HS, was introduced by Halpern and
Shoham in the nineties. Recently, HS has been proposed as a suitable formalism for …

Nuovi metodi matematici e informatici per l'ottimizzazione dello studio e dello sfruttamento di risorse naturali

E LUCENA SANCHEZ - 2022 - iris.unimore.it
Problems with data that have a natural origin require specific data analysis techniques. In
this thesis we develop new mathematical and computer science models to work, specifically …

[PDF][PDF] Temporal Symbolic Regression

E Lucena-Sánchez, G Sciav-icco, IE Stan - Algorithms, 2021 - sfera.unife.it
Air quality modelling that relates meteorological, car traffic, and pollution data is a 1
fundamental problem, approached in several different ways in the recent literature. In …

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 …