Jacqueline L. Feild

Publication Activity (10 Years)

Years Active: 2011-2018
Publications (10 Years): 5

Top Topics

Learning Analytics

Causal Inference

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jacqueline L. Feild, Nicholas Lewkow, Sean Burns, Karen Gebhardt
A generalized classifier to identify online learning tool disengagement at scale. LAK (2018)
Shirin Mojarad, Nicholas Lewkow, Alfred Essa, Jie Zhang, Jacqueline L. Feild
Quasi-experimental design for causal inference using Python and Apache Spark: a hands-on tutorial. LAK (2017)
Nicholas Lewkow, Jacqueline L. Feild, Neil L. Zimmerman, Mark Riedesel, Alfred Essa, David Boulanger, Jeremie Seanosky, Vive Kumar, Kinshuk, Sandhya Kode
A Scalable Learning Analytics Platform for Automated Writing Feedback. L@S (2016)
Jacqueline L. Feild, Nicholas Lewkow, Neil L. Zimmerman, Mark Riedesel, Alfred Essa
A Scalable Learning Analytics Platform for Automated Writing Feedback. EDM (2016)
Jacqueline L. Feild
Improving Student Performance Using Nudge Analytics. EDM (2015)
Jerod J. Weinman, Zachary Butler, Dugan Knoll, Jacqueline L. Feild
Toward Integrated Scene Text Reading. IEEE Trans. Pattern Anal. Mach. Intell. 36 (2) (2014)
Jacqueline L. Feild, Erik G. Learned-Miller
Improving Open-Vocabulary Scene Text Recognition. ICDAR (2013)
Jacqueline L. Feild, Erik G. Learned-Miller, David A. Smith
Using a Probabilistic Syllable Model to Improve Scene Text Recognition. ICDAR (2013)
Yahan Zhou, Jacqueline L. Feild, Erik G. Learned-Miller, Rui Wang
Scene Text Segmentation via Inverse Rendering. ICDAR (2013)
David L. Smith, Jacqueline L. Feild, Erik G. Learned-Miller
Enforcing similarity constraints with integer programming for better scene text recognition. CVPR (2011)