Benchmarking and feasibility aspects of machine learning in space systems - researchr publication authors

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Amir Raoofy, Gabriel Dax, Vittorio Serra, Max Ghiglione, Martin Werner 0001, Carsten Trinitis. Benchmarking and feasibility aspects of machine learning in space systems. In Luca Sterpone, Andrea Bartolini, Anastasiia Butko, editors, CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17 - 22, 2022. pages 225-226, ACM, 2022. [doi]

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