activity
20212026
most citedA deep dive into the resonance: separatrices, manifolds and phase space structure of navigation satellites

21 citations · 22 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Weighted Score-Oriented Losses for Temporally Localized Event Prediction

Edoardo Legnaro, Sabrina Guastavino, Francesco Marchetti

Operational event-detection systems are rarely assessed by pointwise accuracy alone. In anomaly detection, changepoint detection, and warning systems, the utility of an alarm depen…

cs.LG2025

The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex

Francesco Marchetti, Edoardo Legnaro, Sabrina Guastavino

In the supervised binary classification setting, score-oriented losses have been introduced with the aim of optimizing a chosen performance metric directly during the training phas…

cs.LG2025

Multiclass threshold-based classification and model evaluation

Edoardo Legnaro, Sabrina Guastavino, Francesco Marchetti

In this paper, we introduce a threshold-based framework for multiclass classification that generalizes the standard argmax rule. This is done by replacing the probabilistic interpr…

astro-ph.EP2025

Fully analytical propagator for lunar satellite orbits in closed form

Rita Mastroianni, Edoardo Legnaro, Christos Efthymiopoulos

We present a fully analytical propagator for the orbits of lunar artificial satellites in a lunar gravity and third-body model sufficiently precise for a wide range of practical ap…

cs.LG2025

Multiclass threshold-based classification

Francesco Marchetti, Edoardo Legnaro, Sabrina Guastavino

In this paper, we introduce a threshold-based framework for multiclass classification that generalizes the standard argmax rule. This is done by replacing the probabilistic interpr…

astro-ph.SR2025

Artificial Intelligence Could Have Predicted All Space Weather Events Associated with the May 2024 Superstorm

Sabrina Guastavino, Edoardo Legnaro, Anna Maria Massone +1

Space weather, driven by solar flares and Coronal Mass Ejections (CMEs), poses significant risks to technological systems. Accurately forecasting these events and their impact on E…

astro-ph.SR2024

Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers

Edoardo Legnaro, Sabrina Guastavino, Michele Piana +1

A solar active region can significantly disrupt the Sun Earth space environment, often leading to severe space weather events such as solar flares and coronal mass ejections. As a…

astro-ph.EP2024★ 1 cited

Secular dynamics and the lifetimes of lunar artificial satellites under natural force-driven orbital evolution

Edoardo Legnaro, Christos Efthymiopoulos

In this paper, we study the long-term (time scale of several years) orbital evolution of lunar satellites under the sole action of natural forces. In particular, we focus on secula…

astro-ph.EP2023

Semi-analytical estimates for the chaotic diffusion in the Second Fundamental Model of Resonance. Application to Earth's navigation satellites

Edoardo Legnaro, Christos Efthymiopoulos, Maria Harsoula

We discuss the applicability of the Melnikov and Landau-Teller theories in obtaining semi-analytical estimates of the speed of chaotic diffusion in systems driven by the separatrix…

astro-ph.EP2022

A detailed dynamical model for inclination-only dependent lunisolar resonances. Effect on the "eccentricity growth" mechanism

Edoardo Legnaro, Christos Efthymiopoulos

The focus of this paper is on inclination-only dependent lunisolar resonances, which shape the dynamics of a MEO (Medium Earth Orbit) object over secular time scales (i.e. several…

astro-ph.EP2021★ 21 cited

A deep dive into the resonance: separatrices, manifolds and phase space structure of navigation satellites

Jerome Daquin, Edoardo Legnaro, Ioannis Gkolias +1

Despite extended past studies, several questions regarding the resonant structure of the medium-Earth orbit (MEO) region remain hitherto unanswered. This work describes in depth th…