| Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests ZA Daniels, DN Metaxas AAAI Conference on Artificial Intelligence, 2017 | 56 | 2017 |
| 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 | 22 | 2020 |
| 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 | 19 | 2023 |
| Discriminating features for writer identification ZA Daniels, HS Baird 2013 12th International Conference on Document Analysis and Recognition …, 2013 | 18 | 2013 |
| ScenarioNet: An Interpretable Data-Driven Model for Scene Understanding. ZA Daniels, DN Metaxas Second IJCAI Workshop on Explainable Artificial Intelligence (XAI), 2018 | 14 | 2018 |
| 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 | 13 | 2014 |
| 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 | 11 | 2019 |
| 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 | 9 | 2022 |
| 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 | 9 | 2012 |
| 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 | 4 | 2022 |
| 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 | 3 | 2022 |
| Semi-automatic reconstruction of cross-cut shredded documents Z Daniels, MH Idrees Center of Research in Computer Vision, 2013 | 3 | 2013 |
| Image processing neural network systems and methods with scene understanding D Metaxas, ZA Daniels US Patent 11,386,655, 2022 | 2 | 2022 |
| A Dynamic Data Driven Approach for Explainable Scene Understanding ZA Daniels, D Metaxas arXiv preprint arXiv:2206.09089, 2022 | 2 | 2022 |
| Saccade Mechanisms for Image Classification, Object Detection and Tracking S Farkya, Z Daniels, AN Raghavan, D Zhang, M Piacentino CVPR Workshop on NeuroVision, 2022 | 2 | 2022 |
| 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 | 1 | 2021 |
| Scenarios: a new representation for complex scene understanding ZA Daniels, DN Metaxas arXiv preprint arXiv:1802.06117, 2018 | 1 | 2018 |
| 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 | 1 | 2014 |
| Exploring the Linked Data Cloud via Contextual Tag Cloud X Zhang, D Song, S Priya, Z Daniels, K Reynolds, J Heflin Semantic Web Challenge, 2012 | 1 | 2012 |
| SYSTEM DESIGN FOR AN INTEGRATED LIFELONG MACHINE LEARNING AGENT A Nadamuni Raghavan, I Sur, Z Daniels, J Hostetler, A Rahman, ... US Patent App. 18/535,928, 2024 | | 2024 |
