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ORCIDRobert V. Lindsey
Person information
- affiliation: University of Colorado at Boulder, Department of Computer Science
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2020 – today
- 2020
[j3]Rebecca M. Jones
, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey:
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2018
- [j2]Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter:
Deep neural network improves fracture detection by clinicians. Proc. Natl. Acad. Sci. USA 115(45): 11591-11596 (2018) - [i3]Michael C. Mozer, Denis Kazakov, Robert V. Lindsey:
State-Denoised Recurrent Neural Networks. CoRR abs/1805.08394 (2018) - 2017
- [i2]Michael C. Mozer, Denis Kazakov, Robert V. Lindsey:
Discrete Event, Continuous Time RNNs. CoRR abs/1710.04110 (2017) - 2016
- [c9]Mohammad Khajah, Brett D. Roads, Robert V. Lindsey, Yun-En Liu, Michael C. Mozer:
Designing Engaging Games Using Bayesian Optimization. CHI 2016: 5571-5582 - [c8]Mohammad Khajah, Robert V. Lindsey, Michael Mozer:
How Deep is Knowledge Tracing? EDM 2016 - [i1]Mohammad Khajah, Robert V. Lindsey, Michael C. Mozer:
How deep is knowledge tracing? CoRR abs/1604.02416 (2016) - 2014
- [j1]Mohammad Khajah, Robert V. Lindsey, Michael C. Mozer:
Maximizing Students' Retention via Spaced Review: Practical Guidance From Computational Models of Memory. Top. Cogn. Sci. 6(1): 157-169 (2014) - [c7]Mohammad Khajah, Rowan Wing, Robert V. Lindsey, Michael Mozer:
Integrating latent-factor and knowledge-tracing models to predict individual differences in learning. EDM 2014: 99-106 - [c6]Robert V. Lindsey, Mohammad Khajah, Michael C. Mozer:
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning. NIPS 2014: 1386-1394 - 2013
- [c5]Mohammad Khajah, Robert V. Lindsey, Michael Mozer:
Maximizing Students' Retention Via Spaced Review: Practical Guidance From Computational Models Of Memory. CogSci 2013 - [c4]Robert V. Lindsey, Michael Mozer, William J. Huggins, Harold Pashler:
Optimizing Instructional Policies. NIPS 2013: 2778-2786 - 2012
- [c3]Robert V. Lindsey, William Headden, Michael Stipicevic:
A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes. EMNLP-CoNLL 2012: 214-222 - 2010
- [c2]Michael Mozer, Harold Pashler, Matthew H. Wilder, Robert V. Lindsey, Matt Jones, Michael Jones:
Improving Human Judgments by Decontaminating Sequential Dependencies. NIPS 2010: 1705-1713
2000 – 2009
- 2009
- [c1]Michael Mozer, Harold Pashler, Nicholas Cepeda, Robert V. Lindsey, Ed Vul:
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory. NIPS 2009: 1321-1329
Coauthor Index
aka: Michael Mozer
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