Marta Guimarães

According to our database, Marta Guimarães authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low-Earth Orbit.

Ricardo Ferreira, Filipa Valdeira, Marta Guimarães, Cláudia Soares

CoRR, 2024

2023

One-Shot Initial Orbit Determination in Low-Earth Orbit.

Ricardo Ferreira, Marta Guimarães, Filipa Valdeira, 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

Finding Real-World Orbital Motion Laws from Data.

João Funenga, Marta Guimarães, Henrique Costa, Cláudia Soares

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, Cláudia Soares, Marta Guimarães

CoRR, 2023

Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach.

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

Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models.

Marta Guimarães, Cláudia Soares, Chiara Manfletti

CoRR, 2023

Conjunction Data Messages for Space Collision Behave as a Poisson Process.

Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães

CoRR, 2023

2022

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

2021

Conjunction Data Messages behave as a Poisson Process.

Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães, Mariana Filipe, Rodrigo Ventura

CoRR, 2021