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Marta Guimarães
Marta Guimarães
AI Researcher @ Neuraspace | PhD Student @ NOVA-FCT
Verified email at neuraspace.com - Homepage
Title
Cited by
Cited by
Year
BENCHMARKING MACHINE LEARNING MODELS FOR COLLISION RISK PREDICTION IN LOW EARTH ORBIT
R Abay, F Caldas, M Filipe, M Guimarães
Proc. 8th European Conf. on Space Debris (ECSD). Darmstadt, Germany, 20-23, 2021
42021
AI for space traffic management
C Manfletti, M Guimarães, C Soares
Journal of Space Safety Engineering 10 (4), 495-504, 2023
22023
Conjunction Data Messages behave as a Poisson Process
F Caldas, C Soares, C Nunes, M Guimaraes, M Filipe, R Ventura
arXiv preprint arXiv:2105.08509, 2021
22021
Finding Real-World Orbital Motion Laws from Data
J Funenga, M Guimarães, H Costa, C Soares
arXiv preprint arXiv:2311.10012, 2023
12023
Probability of Collision of satellites and space debris for short-term encounters: Rederivation and fast-to-compute upper and lower bounds
R Ferreira, C Soares, M Guimarães
arXiv preprint arXiv:2311.08978, 2023
12023
Conjunction Data Messages for Space Collision Behave as a Poisson Process
F Caldas, C Soares, C Nunes, M Guimarães
arXiv preprint arXiv:2303.15074, 2023
12023
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data
M Guimarães, C Soares, R Ventura
IEEE Transactions on Intelligent Transportation Systems 23 (9), 16005-16015, 2022
12022
One-Shot Initial Orbit Determination in Low-Earth Orbit
R Ferreira, M Guimarães, F Valdeira, C Soares
arXiv preprint arXiv:2312.13318, 2023
2023
Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach
JS Catulo, C Soares, M Guimarães
arXiv preprint arXiv:2311.10633, 2023
2023
Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach
M Guimarães, C Soares, C Manfletti
arXiv preprint arXiv:2311.05430, 2023
2023
Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process
M Guimarães, C Soares, C Manfletti
arXiv preprint arXiv:2311.05426, 2023
2023
Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models
M Guimarães, C Soares, C Manfletti
arXiv preprint arXiv:2311.05417, 2023
2023
Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach
J Simões Catulo, C Soares, M Guimarães
arXiv e-prints, arXiv: 2311.10633, 2023
2023
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