Nathan Hilliard
Nathan Hilliard
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Few-shot learning with metric-agnostic conditional embeddings
N Hilliard, L Phillips, S Howland, A Yankov, CD Corley, NO Hodas
arXiv preprint arXiv:1802.04376, 2018
Faster fuzzing: Reinitialization with deep neural models
N Nichols, M Raugas, R Jasper, N Hilliard
arXiv preprint arXiv:1711.02807, 2017
Sharkzor: Interactive deep learning for image triage, sort and summary
M Pirrung, N Hilliard, A Yankov, N O'Brien, P Weidert, CD Corley, ...
arXiv preprint arXiv:1802.05316, 2018
Algorithms for procedural dungeon generation
N Hilliard, J Salis, H ELAarag
Journal of Computing Sciences in Colleges 33 (1), 166-174, 2017
SHARKZOR: Human in the loop ML for user-defined image classification
M Pirrung, N Hilliard, N O'Brien, A Yankov, CD Corley, NO Hodas
Proceedings of the 23rd International Conference on Intelligent User …, 2018
Dynamic input structure and network assembly for few-shot learning
N Hilliard, NO Hodas, CD Corley
arXiv preprint arXiv:1708.06819, 2017
Modeling and simulation of scalable flocking with fully autonomous quadrotors
C Micklisch, N Hilliard, H ElAarag
2018 International Symposium on Performance Evaluation of Computer and …, 2018
Modeling and simulation of fully autonomous quadrotors
C Micklisch, N Hilliard, H ElAarag
Proceedings of the Communications and Networking Symposium, 1-12, 2018
Modeling and simulation of autonomous quadrotor systems and their onboard sensors
C Micklisch, N Hilliard, H ElAarag
Simulation 97 (3), 195-214, 2021
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