Author:
Stepišnik Tomaž,Finn Timothy,Simidjievski Nikola,Southworth Richard,Belanger Guillaume,Martínez Heras José Antonio,Petković Matej,Panov Panče,Džeroski Sašo,Donati Alessandro,Kocev Dragi
Subject
Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics
Reference19 articles.
1. Deep generative models-based anomaly detection for spacecraft control systems;Ahn;Sensors,2020
2. Fermi-LAT observations of LIGO/virgo event GW170817;Ajello;Astrophys. J.,2018
3. Chen, T., Guestrin, C., 2016. XGBoost: A scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD ’16, ACM, New York, NY, USA, pp. 785–794.
4. De Canio, G., Godard, T., Boumghar, R. et al., 2018. Optimization of the battery usage during eclipses using a machine learning approach. In: 15th International Conference on Space Operations. Marseille, France.
5. Machine learning modeling methods for radiation belts profile predictions;Finn,2018
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