Sensor Network Security: Elliptic Curve Cryptography on SunSPOTs. - Jens Mache; Samuel W. Bock; James Elwell; Dennis P. Gosnell; Travis Mandel; Jonathan S. Perry-Houts (ICWN, 2008)

Investigating CRC Polynomials that Correct Burst Errors. - Travis Mandel; Jens Mache (ICWN, 2009)

Periods in partial words: An algorithm. - Francine Blanchet-Sadri; Travis Mandel; Gautam Sisodia (J. Discrete Algorithms, 2012)

ContextType: using hand posture information to improve mobile touch screen text entry. - Mayank Goel; Alex Jansen; Travis Mandel; Shwetak N. Patel; Jacob O. Wobbrock (CHI, 2013)

Predicting Player Moves in an Educational Game: A Hybrid Approach. - Yun-En Liu; Travis Mandel; Eric Butler; Erik Andersen 001; Eleanor O'Rourke; Emma Brunskill; Zoran Popovic (EDM, 2013)

Practical error correction for resource-constrained wireless networks: unlocking the full power of the CRC. - Travis Mandel; Jens Mache (SenSys, 2013)

Offline policy evaluation across representations with applications to educational games. - Travis Mandel; Yun-En Liu; Sergey Levine; Emma Brunskill; Zoran Popovic (AAMAS, 2014)

Towards automatic experimentation of educational knowledge. - Yun-En Liu; Travis Mandel; Emma Brunskill; Zoran Popovic (CHI, 2014)

Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits. - Yun-En Liu; Travis Mandel; Emma Brunskill; Zoran Popovic (EDM, 2014)

The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits. - Travis Mandel; Yun-En Liu; Emma Brunskill; Zoran Popovic (AAAI, 2015)

Towards More Practical Reinforcement Learning. - Travis Mandel (IJCAI, 2015)

Offline Evaluation of Online Reinforcement Learning Algorithms. - Travis Mandel; Yun-En Liu; Emma Brunskill; Zoran Popovic (AAAI, 2016)

Crowdsourcing Accurate and Creative Word Problems and Hints. - Yvonne Chen; Travis Mandel; Yun-En Liu; Zoran Popovic (HCOMP, 2016)

Efficient Bayesian Clustering for Reinforcement Learning. - Travis Mandel; Yun-En Liu; Emma Brunskill; Zoran Popovic (IJCAI, 2016)

Developing a short undergraduate introduction to online machine learning. - Travis Mandel; Jens Mache (J. Comput. Sci. Coll., 2016)

Where to Add Actions in Human-in-the-Loop Reinforcement Learning. - Travis Mandel; Yun-En Liu; Emma Brunskill; Zoran Popovic (AAAI, 2017)

Examining PhD Student Interest in Teaching: An Analysis of 19 Years of Historical Data (Abstract Only). - Travis Mandel; Jens Mache (SIGCSE, 2017)

Better Education Through Improved Reinforcement Learning - Travis Mandel (2017)

Building Out Data Science at Small Colleges: (Abstract Only). - Travis Mandel; Jens Mache; Richard Weiss 001; Peter Drake (SIGCSE, 2018)

Let's Keep It Safe: Designing User Interfaces that Allow Everyone to Contribute to AI Safety. - Travis Mandel; Jahnu Best; Randall H. Tanaka; Hiram Temple; Chansen Haili; Kayla Schlechtinger; Roy Szeto (CoRR, 2019)

Using the Crowd to Prevent Harmful AI Behavior. - Travis Mandel; Jahnu Best; Randall H. Tanaka; Hiram Temple; Chansen Haili; Sebastian J. Carter; Kayla Schlechtinger; Roy Szeto (Proc. ACM Hum. Comput. Interact., 2020)

AI-Assisted Scientific Data Collection with Iterative Human Feedback. - Travis Mandel; James Boyd; Sebastian J. Carter; Randall H. Tanaka; Taishi Nammoto (AAAI, 2021)

Reliable Multi-Object Tracking in the Presence of Unreliable Detections. - Travis Mandel; Mark Jimenez; Emily Risley; Taishi Nammoto; Rebekka Williams; Max Panoff; Meynard Ballesteros; Bobbie Suarez (CoRR, 2021)

Comparing Interpretation of High-Resolution Aerial Imagery by Humans and Artificial Intelligence to Detect an Invasive Tree Species. - Roberto Rodriguez; Ryan L. Perroy; James J. K. Leary; Daniel M. Jenkins; Max Panoff; Travis Mandel; Patricia Perez (Remote. Sens., 2021)

Detection confidence driven multi-object tracking to recover reliable tracks from unreliable detections. - Travis Mandel; Mark Jimenez; Emily Risley; Taishi Nammoto; Rebekka Williams; Max Panoff; Meynard Ballesteros; Bobbie Suarez (Pattern Recognit., 2023)