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

Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data. - Marta Guimarães; Cláudia Soares; Rodrigo M. M. Ventura (IEEE Trans. Intell. Transp. Syst., 2022)

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

Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models. - Marta Guimarães; Cláudia Soares; Chiara Manfletti (CoRR, 2023)

Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process. - Marta Guimarães; Cláudia Soares; Chiara Manfletti (CoRR, 2023)

Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach. - Marta Guimarães; Cláudia Soares; Chiara Manfletti (CoRR, 2023)

Probability of Collision of satellites and space debris for short-term encounters: Rederivation and fast-to-compute upper and lower bounds. - Ricardo Ferreira 002; Cláudia Soares; Marta Guimarães (CoRR, 2023)

Finding Real-World Orbital Motion Laws from Data. - João Funenga; Marta Guimarães; Henrique Costa; Cláudia Soares (CoRR, 2023)

Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach. - João Simões Catulo; Cláudia Soares; Marta Guimarães (CoRR, 2023)

One-Shot Initial Orbit Determination in Low-Earth Orbit. - Ricardo Ferreira 002; Marta Guimarães; Filipa Valdeira; Cláudia Soares (CoRR, 2023)

Satellite Safe Margin: Fast solutions for Conjunction Analysis. - Ricardo Ferreira 002; Marta Guimarães; Cláudia Soares (CoRR, 2024)

Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit. - Ricardo Ferreira 002; Filipa Valdeira; Marta Guimarães; Cláudia Soares (IEEE Trans. Aerosp. Electron. Syst., 2025)