Discriminating Features for Writer Identification. - Zachary A. Daniels; Henry S. Baird (ICDAR, 2013)

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 (MARS@MobiSys, 2014)

Exploring Linked Data with contextual tag clouds. - Xingjian Zhang 006; Dezhao Song; Sambhawa Priya; Zachary Daniels; Kelly Reynolds; Jeff Heflin (J. Web Semant., 2014)

Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests. - Zachary Alan Daniels; Dimitris N. Metaxas (AAAI, 2017)

Scenarios: A New Representation for Complex Scene Understanding. - Zachary A. Daniels; Dimitris N. Metaxas (CoRR, 2018)

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 (ISBI, 2019)

Active Scene Classification via Dynamically Learning Prototypical Views. - Zachary A. Daniels; Dimitris N. Metaxas (DDDAS, 2020)

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; et al. (AIMLSystems, 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; et al. (CoLLAs, 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 (CVPR Workshops, 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)

A Dynamic Data Driven Approach for Explainable Scene Understanding. - Zachary A. Daniels; Dimitris N. Metaxas (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)

Learning with Local Gradients at the Edge. - Michael Lomnitz; Zachary Daniels; David C. Zhang; Michael R. Piacentino (CoRR, 2022)

Learning with Local Gradients at the Edge. - Michael Lomnitz; Zachary Daniels; Saurabh Farkya; Michael A. Isnardi; David C. Zhang; Michael R. Piacentino (SMC, 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)

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; et al. (Neural Networks, 2023)

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 (DDDAS/Infosymbiotics, 2024)

Noise-Tolerant Coreset-Based Class Incremental Continual Learning. - Edison Mucllari; Aswin Raghavan; Zachary Alan Daniels (CoRR, 2025)

Compact Recurrent Transformer with Persistent Memory. - Edison Mucllari; Zachary Daniels; David Zhang; Qiang Ye 003 (CoRR, 2025)

Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025. - Matej Vitek; Darian Tomasevic; Abhijit Das 001; Sabari Nathan; Gökhan Özbulak; Gözde Ayse Tataroglu Özbulak; Jean-Paul Calbimonte; André Anjos; Hariohm Hemant Bhatt; Dhruv Dhirendra Premani; Jay Chaudhari; Caiyong Wang; et al. (CoRR, 2025)