Conjunction Data Messages behave as a Poisson Process. - Francisco M. Caldas; Cláudia Soares; Cláudia Nunes; Marta Guimarães; Mariana Filipe; Rodrigo Ventura 001 (CoRR, 2021)

A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding. - Francisco M. Caldas; Cláudia Soares (PKDD/ECML Workshops (1), 2022)

Machine Learning in Orbit Estimation: a Survey. - Francisco M. Caldas; Cláudia Soares (CoRR, 2022)

Conjunction Data Messages for Space Collision Behave as a Poisson Process. - Francisco M. Caldas; Cláudia Soares; Cláudia Nunes; Marta Guimarães (CoRR, 2023)

Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. - Francisco M. Caldas; Cláudia Soares (CEC, 2024)

Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks. - Manuel Santos Pereira; Luís Tripa; Nelson Lima; Francisco M. Caldas; Cláudia Soares (CoRR, 2025)

OrbitZoo: Multi-Agent Reinforcement Learning Environment for Orbital Dynamics. - Alexandre Oliveira; Katarina Dyreby; Francisco M. Caldas; Cláudia Soares (CoRR, 2025)