Robert Lindsey
Robert Lindsey
Imagen Technologies
Verifierad e-postadress på imagentechnologies.com - Startsida
TitelCiteras avÅr
Improving students’ long-term knowledge retention through personalized review
RV Lindsey, JD Shroyer, H Pashler, MC Mozer
Psychological science 25 (3), 639-647, 2014
1002014
How deep is knowledge tracing?
M Khajah, RV Lindsey, MC Mozer
EDM 2016, 2016
872016
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
762009
A phrase-discovering topic model using hierarchical pitman-yor processes
RV Lindsey, WP Headden III, MJ Stipicevic
EMNLP 2012, 214-222, 2012
632012
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
542014
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
532014
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
53*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
482007
The effects of corpus selection on measuring semantic relatedness
R Lindsey, VD Veksler, A Grintsvayg, WD Gray
ICCM 2007, 2007
48*2007
Designing engaging games using bayesian optimization
MM Khajah, BD Roads, RV Lindsey, YE Liu, MC Mozer
CHI 2016, 2016
282016
Optimizing instructional policies
RV Lindsey, MC Mozer, WJ Huggins, H Pashler
Advances in neural information processing systems, 2778-2786, 2013
282013
Optimizing instructional policies
RV Lindsey, MC Mozer, WJ Huggins, H Pashler
NIPS 2013, 0
28*
A proxy for all your semantic needs
VD Veksler, A Grintsvayg, R Lindsey, WD Gray
CogSci 2007, 2007
262007
Automatic discovery of cognitive skills to improve the prediction of student learning
RV Lindsey, M Khajah, MC Mozer
NIPS 2014, 2014
252014
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
252014
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
242018
Optimizing memory retention with cognitive models
R Lindsey, MC Mozer, NJ Cepeda, H Pashler
ICCM, 2009
162009
Predicting and Improving Memory Retention: Psychological Theory Matters in the Big Data Era
MC Mozer, RV Lindsey
Big Data in Cognitive Science, 2016
132016
Improving human judgments by decontaminating sequential dependencies
MC Mozer, H Pashler, M Wilder, RV Lindsey, M Jones, MN Jones
NIPS 2010, 2010
13*2010
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
112016
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Artiklar 1–20