Zachary A. Daniels

According to our database, Zachary A. Daniels authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Driven Pixel Control: Challenges and Prospects.

Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang

CoRR, 2024

2023

A domain-agnostic approach for characterization of lifelong learning systems.

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, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

Efficient Model Adaptation for Continual Learning at the Edge.

Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang

CoRR, 2023

Learning with Local Gradients at the Edge.

Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Learning with Local Gradients at the Edge.

Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino

CoRR, 2022

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran

CoRR, 2022

A Dynamic Data Driven Approach for Explainable Scene Understanding.

Zachary A. Daniels, Dimitris N. Metaxas

CoRR, 2022

Saccade Mechanisms for Image Classification, Object Detection and Tracking.

Saurabh Farkya, Zachary Daniels, Aswin Nadamuni Raghavan, David C. Zhang, Michael R. Piacentino

CoRR, 2022

Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

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

Proceedings of the Conference on Lifelong Learning Agents, 2022

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.

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, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan

Proceedings of the Second International Conference on AI-ML Systems, 2022

2020

Active Scene Classification via Dynamically Learning Prototypical Views.

Zachary A. Daniels, Dimitris N. Metaxas

Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019

Exploiting Visual and Report-Based Information for Chest X-RAY Analysis by Jointly Learning Visual Classifiers and Topic Models.

Zachary A. Daniels, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Scenarios: A New Representation for Complex Scene Understanding.

Zachary A. Daniels, Dimitris N. Metaxas

CoRR, 2018

2017

Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests.

Zachary Alan Daniels, Dimitris N. Metaxas

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2014

Exploring Linked Data with contextual tag clouds.

Xingjian Zhang, Dezhao Song, Sambhawa Priya, Zachary Daniels, Kelly Reynolds, Jeff Heflin

J. Web Semant., 2014

A gesture-based interface for the exploration and classification of protein binding cavities.

Zachary A. Daniels, Steven R. Stinson, Shenchi Tian, Evan Mulbry, Brian Yuan Chen

Proceedings of the 2014 Workshop on Mobile Augmented Reality and Robotic Technology-Based Systems, 2014

2013

Discriminating Features for Writer Identification.

Zachary A. Daniels, Henry S. Baird

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013