| 2018 | LAK | A generalized classifier to identify online learning tool disengagement at scale. | Jacqueline L. Feild, Nicholas Lewkow, Sean Burns, Karen Gebhardt |
| 2017 | LAK | Quasi-experimental design for causal inference using Python and Apache Spark: a hands-on tutorial. | Shirin Mojarad, Nicholas Lewkow, Alfred Essa, Jie Zhang, Jacqueline L. Feild |
| 2016 | EDM | A Scalable Learning Analytics Platform for Automated Writing Feedback. | Jacqueline L. Feild, Nicholas Lewkow, Neil L. Zimmerman, Mark Riedesel, Alfred Essa |
| 2015 | EDM | Improving Student Performance Using Nudge Analytics. | Jacqueline L. Feild |
| 2013 | ICDAR | Improving Open-Vocabulary Scene Text Recognition. | Jacqueline L. Feild, Erik G. Learned-Miller |
| 2013 | ICDAR | Using a Probabilistic Syllable Model to Improve Scene Text Recognition. | Jacqueline L. Feild, Erik G. Learned-Miller, David A. Smith |
| 2013 | ICDAR | Scene Text Segmentation via Inverse Rendering. | Yahan Zhou, Jacqueline L. Feild, Erik G. Learned-Miller, Rui Wang |
| 2011 | CVPR | Enforcing similarity constraints with integer programming for better scene text recognition. | David L. Smith, Jacqueline L. Feild, Erik G. Learned-Miller |