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NASA's Asteroid Grand Challenge: Strategy, Results, and Lessons Learned JL Gustetic, V Friedensen, JL Kessler, S Jackson, J Parr Space Policy 44, 1-13, 2018 | 13 | 2018 |
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Advancing Astrobiology Through Public/Private Partnership: The FDL Model NA Cabrol, WH Diamond, J Bishop, SL Cady, L Fenton, N Hinman, S Jain, ... Lunar and Planetary Science Conference 49, 1275, 2018 | 6 | 2018 |
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Application of machine learning for planetary defense, Three Case Studies J Parr, F Marchis, M Busch, P Jenniskens, J Galache, E Dahlstrom May, 2019 | 1 | 2019 |
Improving Thermospheric Density Predictions in Low‐Earth Orbit With Machine Learning G Acciarini, E Brown, T Berger, M Guhathakurta, J Parr, C Bridges, ... Space weather 22 (2), e2023SW003652, 2024 | | 2024 |
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Beyond reproducibility at the Frontier Development Lab (FDL): Community driven continuous optimization for the SDO machine learning dataset (SDOML). P Wright, M Jin, CMM Cheung, J Parr AGU Fall Meeting Abstracts 2021, IN12A-01, 2021 | | 2021 |
NASA Science Mission Directorate Artificial Intelligence Workshop Update M Maskey, M Ansdell, S Costes, M Guhathakurta, R Ojha, M Little, ... AGU Fall Meeting Abstracts 2021, IN11B-01, 2021 | | 2021 |
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Ml Applications Supporting the Usability of Big Data in Earth Science J Parr AGU Fall Meeting Abstracts 2019, IN53C-0749, 2019 | | 2019 |
NASA FDL: Accelerating Artificial Intelligence Applications in the Space Sciences. M Navas-Moreno, J Parr, EL Dahlstrom, SB Jennings 2017 AGU Fall Meeting, 2017 | | 2017 |
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Annual Index: Volume 55 (2001) H Basturkmen, F Boers, M Demecheleer, S Borg, W Butzkamm, ... ELT Journal 55, 4, 2001 | | 2001 |
ITI for the Sun R Jarolim, A Veronig, W Pötzi, T Podladchikova, A Bassi, J Parr, ... | | |