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James Parr
James Parr
Frontier Development Lab / Trillium Technologies
Verified email at frontierdevelopmentlab.org - Homepage
Title
Cited by
Cited by
Year
Technology readiness levels for machine learning systems
A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ...
Nature Communications 13 (1), 6039, 2022
862022
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
132018
In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery
G Mateo-García, J Veitch-Michaelis, C Purcell, N Longepe, S Reid, ...
Scientific Reports 13 (1), 10391, 2023
122023
Spaceml: Distributed open-source research with citizen scientists for the advancement of space technology for nasa
A Koul, S Ganju, M Kasam, J Parr
arXiv preprint arXiv:2012.10610, 2020
92020
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
62018
Real-time quantitative and qualitative measurement of organizational culture
G Huff, J Reynolds, D Gorman, MS Barnett, J Cole, M Oxley, J Parr
US Patent App. 13/175,460, 2013
42013
Learnings from Frontier Development Lab and SpaceML--AI Accelerators for NASA and ESA
S Ganju, A Koul, A Lavin, J Veitch-Michaelis, M Kasam, J Parr
arXiv preprint arXiv:2011.04776, 2020
32020
Application of machine learning for planetary defense, Three Case Studies
J Parr, F Marchis, M Busch, P Jenniskens, J Galache, E Dahlstrom
May, 2019
12019
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
Accelerating Open Science for AI in Heliophysics
D Garcia, PJ Wright, R Jarolim, MCM Cheung, M Jin, J Parr
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022
2022
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
Report on Workshop on Artificial Intelligence in Strategic Planning and Science Prioritization
BA Thomas, LM Barbier, JA Crooke, H Thronson, A Lowndes, ...
Workshop on Artificial Intelligence in Strategic Planning and Science …, 2021
2021
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
NASA FDL: Accelerating Artificial Intelligence Applications in the Space Sciences.
J Parr, M Navas-Moreno, EL Dahlstrom, SB Jennings
AGU Fall Meeting Abstracts 2017, IN31A-0070, 2017
2017
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, ...
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