Clothed People Detection in Still Images. - Nathan Sprague; Jiebo Luo 001 (ICPR (3), 2002)

Multiple-Goal Reinforcement Learning with Modular Sarsa(0). - Nathan Sprague; Dana H. Ballard (IJCAI, 2003)

Eye Movements for Reward Maximization. - Nathan Sprague; Dana H. Ballard (NIPS, 2003)

Modeling the Brain's Operating System. - Dana H. Ballard; Nathan Sprague (BVAI, 2005)

Modeling the Brain's Operating System Using Virtual Humanoids. - Dana H. Ballard; Nathan Sprague (Int. J. Pattern Recognit. Artif. Intell., 2006)

On the Role of Embodiment in Modeling Natural Behaviors. - Dana H. Ballard; Nathan Sprague (Integrated Models of Cognitive Systems, 2007)

Modeling embodied visual behaviors. - Nathan Sprague; Dana H. Ballard; Al Robinson (ACM Trans. Appl. Percept., 2007)

Predictive Projections. - Nathan Sprague (IJCAI, 2009)

Arduino as a platform for a computer organization course. - Nathan Sprague (J. Comput. Sci. Coll., 2013)

Contingent Features for Reinforcement Learning. - Nathan Sprague (ICANN, 2014)

Teaching robotics using ROS. - Nathan Sprague (J. Comput. Sci. Coll., 2015)

Teaching Robotics Using ROS (Abstract Only). - Nathan Sprague; Ralph Grove (SIGCSE, 2016)

CampusPartner: An Assistive Technology for Mobility Impaired Pedestrians. - Cynthia Zastudil; Michael Stewart 001; Nathan Sprague; Erin Brady (GROUP (Companion), 2020)

Enhanced Interface for Autonomously driven Golf Cart in a Networked Controlled Environment. - Samy El-Tawab; Nathan Sprague; Michael Stewart 001; Mridul Pareek; Philip Zubov (ICSIE, 2020)

Autonomous Vehicles: Building a Test-bed Prototype at a Controlled Environment. - Samy El-Tawab; Nathan Sprague; Azeem Mufti (WF-IoT, 2020)

Model AI Assignments 2021. - Todd W. Neller; Nathan Sprague; John Maraist; Lisa Zhang; Pouria Fewzee 001; Duri Long; Jonathan Moon; Brian Magerko; Alex Leto; Toni Lefton; Tom Williams 001 (AAAI, 2021)

Deep Metric Learning for Code Authorship Attribution and Verification. - Riley White; Nathan Sprague (ICMLA, 2021)

An Empirical Study of Two Bitcoin Artifacts Through Deep Learning. - Richard Tindell; Alex Mitchell 002; Nathan Sprague; Xunhua Wang (Financial Cryptography, 2022)

Corn Ear Detection and Orientation Estimation Using Deep Learning. - Nathan Sprague; John Evans; Michael Mardikes (CoRR, 2024)

Predicting Transfer Performance Using Foreground Image Quality in Synthetic Vision Systems. - Michael Mardikes; John T. Evans; Nathan Sprague; Gregory M. Shaver (Signal Image Video Process., 2025)