Robert Lindsey
Robert Lindsey
Imagen Technologies
Verified email at imagentechnologies.com - Homepage
Title
Cited by
Cited by
Year
Improving students’ long-term knowledge retention through personalized review
RV Lindsey, JD Shroyer, H Pashler, MC Mozer
Psychological science 25 (3), 639-647, 2014
1462014
How deep is knowledge tracing?
M Khajah, RV Lindsey, MC Mozer
EDM 2016, 2016
1362016
Deep neural network improves fracture detection by clinicians
R Lindsey, A Daluiski, S Chopra, A Lachapelle, M Mozer, S Sicular, ...
Proceedings of the National Academy of Sciences, 201806905, 2018
1252018
Predicting the optimal spacing of study: A multiscale context model of memory
H Pashler, N Cepeda, RV Lindsey, E Vul, MC Mozer
NIPS 2009, 2009
852009
Retrieval practice over the long term: Should spacing be expanding or equal-interval?
SHK Kang, RV Lindsey, MC Mozer, H Pashler
Psychonomic bulletin & review 21 (6), 1544-1550, 2014
822014
A phrase-discovering topic model using hierarchical pitman-yor processes
RV Lindsey, WP Headden III, MJ Stipicevic
EMNLP 2012, 214-222, 2012
722012
Integrating latent-factor and knowledge-tracing models to predict individual differences in learning
M Khajah, R Wing, R Lindsey, M Mozer
Educational Data Mining 2014, 2014
712014
Incorporating latent factors into knowledge tracing to predict individual differences in learning
M Khajah, RM Wing, RV Lindsey, MC Mozer
EDM 2014, 99-106, 2014
71*2014
The effects of corpus selection on measuring semantic relatedness
R Lindsey, VD Veksler, A Grintsvayg, WD Gray
8th International Conference of Cognitive Modeling, ICCM, 2007
522007
The effects of corpus selection on measuring semantic relatedness
R Lindsey, VD Veksler, A Grintsvayg, WD Gray
ICCM 2007, 2007
52*2007
Designing engaging games using bayesian optimization
MM Khajah, BD Roads, RV Lindsey, YE Liu, MC Mozer
CHI 2016, 2016
452016
Automatic discovery of cognitive skills to improve the prediction of student learning
RV Lindsey, M Khajah, MC Mozer
NIPS 2014, 2014
342014
Optimizing instructional policies
RV Lindsey, MC Mozer, WJ Huggins, H Pashler
Advances in neural information processing systems, 2778-2786, 2013
332013
Optimizing instructional policies
RV Lindsey, MC Mozer, WJ Huggins, H Pashler
NIPS 2013, 0
33*
Maximizing students' retention via spaced review: Practical guidance from computational models of memory
MM Khajah, RV Lindsey, MC Mozer
Topics in cognitive science 6 (1), 157-169, 2014
322014
A proxy for all your semantic needs
VD Veksler, A Grintsvayg, R Lindsey, WD Gray
CogSci 2007, 2007
252007
Predicting and Improving Memory Retention: Psychological Theory Matters in the Big Data Era
MC Mozer, RV Lindsey
Big Data in Cognitive Science, 2016
232016
Estimating student proficiency: Deep learning is not the panacea
KH Wilson, X Xiong, M Khajah, RV Lindsey, S Zhao, Y Karklin, ...
In Neural Information Processing Systems, Workshop on Machine Learning for …, 2016
212016
Optimizing memory retention with cognitive models
R Lindsey, MC Mozer, NJ Cepeda, H Pashler
ICCM, 2009
172009
Discrete event, continuous time rnns
MC Mozer, D Kazakov, RV Lindsey
arXiv preprint arXiv:1710.04110, 2017
162017
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