A deep learning approach to solar radio flux forecasting - Stevenson, Emma; Rodriguez-Fernandez, Victor; Minisci, Edmondo; Camacho, David; (Acta Astronautica, 2022)

Predicting the effects of kinetic impactors on asteroid deflection using end-to-end deep learning - Stevenson E; Martinez R; Rodriguez-Fernandez V; Camacho D (2022 Ieee Congress On Evolutionary Computation, Cec 2022 - Conference Proceedings, 2022)

Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management - Emma Stevenson, Víctor Rodríguez-Fernández, Hodei Urrutxua, Vincent Morand, David Camacho (2021)

An Assessment of Machine Learning Techniques for Orbital Conjunction Screening - Emma Stevenson, Victor Rodriguez-Fernandez, Hodei Urrutxua, Vincent Morand, David Camacho (2021)

The Asteroid and Space Debris Network Reloaded - Rodríguez Fernández, Víctor (Participante); Camacho Fernandez, David (Investigador principal (IP)); STEVENSON, EMMA CHARLOTTE (Becario/a); LARA CABRERA, RAUL (Participante); Bello Orgaz, Gema (Participante) (2019)

A deep learning approach to space weather proxy forecasting for orbital prediction - Stevenson E; Rodriguez-Fernandez V; Minisci E; Camacho D (Proceedings Of The International Astronautical Congress, Iac, 2020)

Galactic Archaeology with TESS: Prospects for Testing the Star Formation History in the Solar Neighbourhood - Thomas A; Stevenson E; Gittins FWR; Miglio A; Davies G; Girardi L; Campante TL; Schofield M (Epj Web Of Conferences, 2017)

Statistical comparison of ISO recommended thermosphere models and space weather proxy forecasting on re-entry predictions - Virgili B; Lemmens S; Stevenson E; Reihs B (Proceedings Of The International Astronautical Congress, Iac, 2017)

Benchmarking deep learning approaches for all-vs-all conjunction screening - Stevenson, E; Rodriguez-Fernandez, V; Urrutxua, H; Camacho, D (Advances In Space Research, 2023)