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Zachary A. Daniels
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2020 – today
- 2024
- [i10]Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang:
Data-Driven Pixel Control: Challenges and Prospects. CoRR abs/2408.04767 (2024) - 2023
- [j2]Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [c9]Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino:
Learning with Local Gradients at the Edge. SMC 2023: 3146-3151 - [i9]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i8]Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang:
Efficient Model Adaptation for Continual Learning at the Edge. CoRR abs/2308.02084 (2023) - 2022
- [c8]Indranil Sur
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c7]Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [c6]Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino:
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CVPR Workshops 2022: 3609-3617 - [i7]Saurabh Farkya, Zachary Daniels, Aswin Nadamuni Raghavan, David C. Zhang, Michael R. Piacentino:
Saccade Mechanisms for Image Classification, Object Detection and Tracking. CoRR abs/2206.05102 (2022) - [i6]Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino:
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CoRR abs/2206.05128 (2022) - [i5]Zachary A. Daniels, Dimitris N. Metaxas:
A Dynamic Data Driven Approach for Explainable Scene Understanding. CoRR abs/2206.09089 (2022) - [i4]Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoRR abs/2208.05056 (2022) - [i3]Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino:
Learning with Local Gradients at the Edge. CoRR abs/2208.08503 (2022) - [i2]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2020
- [c5]Zachary A. Daniels, Dimitris N. Metaxas:
Active Scene Classification via Dynamically Learning Prototypical Views. DDDAS 2020: 179-187
2010 – 2019
- 2019
- [c4]Zachary A. Daniels, Dimitris N. Metaxas:
Exploiting Visual and Report-Based Information for Chest X-RAY Analysis by Jointly Learning Visual Classifiers and Topic Models. ISBI 2019: 1270-1274 - 2018
- [i1]Zachary A. Daniels, Dimitris N. Metaxas:
Scenarios: A New Representation for Complex Scene Understanding. CoRR abs/1802.06117 (2018) - 2017
- [c3]Zachary Alan Daniels, Dimitris N. Metaxas:
Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests. AAAI 2017: 1826-1832 - 2014
- [j1]Xingjian Zhang, Dezhao Song
Exploring Linked Data with contextual tag clouds. J. Web Semant. 24: 33-39 (2014) - [c2]Zachary A. Daniels, Steven R. Stinson, Shenchi Tian, Evan Mulbry, Brian Yuan Chen:
A gesture-based interface for the exploration and classification of protein binding cavities. MARS@MobiSys 2014: 47-50 - 2013
- [c1]Zachary A. Daniels, Henry S. Baird:
Discriminating Features for Writer Identification. ICDAR 2013: 1385-1389
Coauthor Index
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