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Spacecraft Collision Avoidance Challenge: design and results of a
  machine learning competition

Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition

7 August 2020
Thomas Uriot
Dario Izzo
Luís F. Simões
R. Abay
Nils Einecke
Sven Rebhan
Jose Martinez-Heras
F. Letizia
J. Siminski
K. Merz
ArXivPDFHTML

Papers citing "Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition"

3 / 3 papers shown
Title
Predicting the Probability of Collision of a Satellite with Space
  Debris: A Bayesian Machine Learning Approach
Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach
Joao Simoes Catulo
Cláudia Soares
Marta Guimarães
14
1
0
17 Nov 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
20
20
0
22 Feb 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
304
6,996
0
20 Apr 2018
1