Kyle D. Julian
About
Kyle D. Julian has authored 14 papers that have received a total of 307 indexed citations.
This includes 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. The topics of these papers are Adversarial Robustness in Machine Learning (9 papers), Cardiac Arrest and Resuscitation (3 papers) and Evacuation and Crowd Dynamics (3 papers). Kyle D. Julian is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Cardiac Arrest and Resuscitation (3 papers) and Evacuation and Crowd Dynamics (3 papers) and collaborates with scholars based in United States and Israel. Kyle D. Julian's co-authors include Mykel J. Kochenderfer, Clark Barrett, Guy Katz, David L. Dill and Michael P. Owen and has published in prestigious journals such as Machine Learning, Journal of Guidance Control and Dynamics and Autonomous Agents and Multi-Agent Systems.
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