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Zachary A. Daniels
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Cited by
Year
Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests
ZA Daniels, DN Metaxas
AAAI Conference on Artificial Intelligence, 2017
622017
A framework for explainable deep neural models using external knowledge graphs
ZA Daniels, LD Frank, CJ Menart, M Raymer, P Hitzler
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
282020
A domain-agnostic approach for characterization of lifelong learning systems
MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ...
Neural Networks 160, 274-296, 2023
252023
Discriminating features for writer identification
ZA Daniels, HS Baird
2013 12th International Conference on Document Analysis and Recognition …, 2013
182013
ScenarioNet: An Interpretable Data-Driven Model for Scene Understanding.
ZA Daniels, DN Metaxas
Second IJCAI Workshop on Explainable Artificial Intelligence (XAI), 2018
152018
Model-free generative replay for lifelong reinforcement learning: Application to starcraft-2
Z Daniels, A Raghavan, J Hostetler, A Rahman, I Sur, M Piacentino, ...
Conference on Lifelong Learning Agents (CoLLAs), 2022
142022
Exploring linked data with contextual tag clouds
X Zhang, D Song, S Priya, Z Daniels, K Reynolds, J Heflin
Journal of web semantics 24, 33-39, 2014
132014
Exploiting Visual and Report-Based Information for Chest X-Ray Analysis by Jointly Learning Visual Classifiers and Topic Models
ZA Daniels, DN Metaxas
IEEE International Symposium on Biomedical Imaging (ISBI), 2019
112019
Collision avoidance of multiple uas using a collision cone-based cost function
Z Daniels, L Wright, J Holt, S Biaz
Computer Science and Software Engineering Department, Auburn University …, 2012
92012
A Dynamic Data Driven Approach for Explainable Scene Understanding
ZA Daniels, D Metaxas
arXiv preprint arXiv:2206.09089, 2022
42022
Saccade Mechanisms for Image Classification, Object Detection and Tracking
S Farkya, Z Daniels, AN Raghavan, D Zhang, M Piacentino
CVPR Workshop on NeuroVision, 2022
42022
Real-time hyper-dimensional reconfiguration at the edge using hardware accelerators
I Kandaswamy, S Farkya, Z Daniels, G van der Wal, A Raghavan, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
Semi-automatic reconstruction of cross-cut shredded documents
Z Daniels, MH Idrees
Center of Research in Computer Vision, 2013
32013
System design for an integrated lifelong reinforcement learning agent for real-time strategy games
I Sur, Z Daniels, A Rahman, K Faber, G Gallardo, T Hayes, C Taylor, ...
Proceedings of the Second International Conference on AI-ML Systems, 1-9, 2022
22022
Image processing neural network systems and methods with scene understanding
D Metaxas, ZA Daniels
US Patent 11,386,655, 2022
22022
Efficient Model Adaptation for Continual Learning at the Edge
ZA Daniels, J Hu, M Lomnitz, P Miller, A Raghavan, J Zhang, ...
arXiv preprint arXiv:2308.02084, 2023
12023
Hyper-Dimensional Analytics of Video Action at the Tactical Edge
M Isnardi, S Farkya, I Kandaswamy, A Raghavan, D Zhang, G van der Wal, ...
GOMACTech 2021 conference, 2021
12021
Active Scene Classification via Dynamically Learning Prototypical Views
ZA Daniels, DN Metaxas
Dynamic Data Driven Applications Systems: Third International Conference …, 2020
12020
Scenarios: a new representation for complex scene understanding
ZA Daniels, DN Metaxas
arXiv preprint arXiv:1802.06117, 2018
12018
A gesture-based interface for the exploration and classification of protein binding cavities
ZA Daniels, SR Stinson, S Tian, E Mulbry, BY Chen
Proceedings of the 2014 workshop on Mobile augmented reality and robotic …, 2014
12014
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Articles 1–20