| 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 | 403 | 2018 |
| How deep is knowledge tracing? M Khajah, RV Lindsey, MC Mozer EDM 2016, 2016 | 272 | 2016 |
| Improving students’ long-term knowledge retention through personalized review RV Lindsey, JD Shroyer, H Pashler, MC Mozer Psychological science 25 (3), 639-647, 2014 | 257 | 2014 |
| 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 | 131 | 2009 |
| 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, 1544-1550, 2014 | 128 | 2014 |
| 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 | 117 | 2014 |
| 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 | 117* | 2014 |
| A phrase-discovering topic model using hierarchical pitman-yor processes RV Lindsey, WP Headden III, MJ Stipicevic EMNLP 2012, 214-222, 2012 | 94 | 2012 |
| Designing engaging games using bayesian optimization MM Khajah, BD Roads, RV Lindsey, YE Liu, MC Mozer CHI 2016, 2016 | 68 | 2016 |
| Automatic discovery of cognitive skills to improve the prediction of student learning RV Lindsey, M Khajah, MC Mozer NIPS 2014, 2014 | 56 | 2014 |
| Discrete event, continuous time rnns MC Mozer, D Kazakov, RV Lindsey arXiv preprint arXiv:1710.04110, 2017 | 55 | 2017 |
| 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 | 55 | 2007 |
| The effects of corpus selection on measuring semantic relatedness R Lindsey, VD Veksler, A Grintsvayg, WD Gray ICCM 2007, 2007 | 55* | 2007 |
| 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 | 51 | 2016 |
| Predicting and Improving Memory Retention: Psychological Theory Matters in the Big Data Era MC Mozer, RV Lindsey Big Data in Cognitive Science, 2016 | 50 | 2016 |
| Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs R Jones, A Sharma, R Hotchkiss, J Sperling, J Hamburger, C Ledig, ... npj Digital Medicine 3, 2020 | 47 | 2020 |
| 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 | 45 | 2014 |
| Optimizing instructional policies RV Lindsey, MC Mozer, WJ Huggins, H Pashler Advances in neural information processing systems, 2778-2786, 2013 | 41 | 2013 |
| Optimizing instructional policies RV Lindsey, MC Mozer, WJ Huggins, H Pashler NIPS 2013, 0 | 41* | |
| A proxy for all your semantic needs VD Veksler, A Grintsvayg, R Lindsey, WD Gray CogSci 2007, 2007 | 27 | 2007 |
Michael MozerGoogle Research, Brain Team; University of ColoradoVerified email at colorado.edu
