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Richard Kuzma
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xview: Objects in context in overhead imagery
D Lam, R Kuzma, K McGee, S Dooley, M Laielli, M Klaric, Y Bulatov, ...
arXiv preprint arXiv:1802.07856, 2018
3512018
Influencing the influencers: Evaluating person-to-person influence on social networks using granger causality
R Kuzma, IJ Cruickshank, KM Carley
Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022
92022
xView: objects in context in overhead imagery (2018)
D Lam, R Kuzma, K McGee, S Dooley, M Laielli, M Klaric, Y Bulatov, ...
arXiv preprint arXiv:1802.07856, 1802
81802
Analysis of external content in the vaccination discussion on twitter
R Kuzma, IJ Cruickshank, KM Carley
32021
But First, Infrastructure: Creating the Conditions for Artificial Intelligence to Thrive in the Pentagon
R Kuzma
https://warontherocks.com/2018/07/but-first-infrastructure-creating-the …, 2018
22018
Persistent eye in the sky: how commercial satellites can help the navy achieve superior maritime awareness
R Kuzma, T Wester
War on the Rocks, 0
2
Identifying Low Acuity Emergency Department Visits with a Machine Learning Approach
A Chen, R Kuzma, A Friedman
2024 Annual Research Meeting, 2024
2024
Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA)
AT Chen, RS Kuzma, AB Friedman
Health Services Research, 2024
2024
Detecting suicide risk among US servicemembers and veterans: a deep learning approach using social media data
KL Zuromski, DM Low, NC Jones, R Kuzma, D Kessler, L Zhou, ...
Psychological Medicine, 1-10, 2024
2024
Algorithmic Identification of Potentially High Risk Abdominal Presentations (PHRAPs) to the Emergency Department: A Clinically-Oriented Machine Learning Approach
RS Kuzma, V Saraswathula, KR Moon, RR Kelz, AB Friedman
medRxiv, 2022.02. 08.22270691, 2022
2022
Commanding Heights: Chinese and American Structural Efforts to Integrate Artificial Intelligence Into Warfighting
R Kuzma
Harvard University, 2018
2018
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