| 2022 | CogSci | The Wisdom of the Crowd and Framing Effects in Spatial Knowledge. | Lauren E. Montgomery, Michael D. Lee |
| 2022 | CogSci | Categorization in Environments that Change when People Learn. | Manuel Villarreal, Sahar Vaday, Michael D. Lee |
| 2022 | CogSci | A model of free recall for multiple encounters of semantically related stimuli with an application to understanding cognitive impairment. | Holly A. Westfall, Michael D. Lee |
| 2021 | CogSci | Exploring Online Goal Inference in Real World Environments. | Michael G. Collins, Alexander Hough, Michael D. Lee, Jayde King |
| 2021 | CogSci | A Model-Based Analysis of Changes in the Semantic Structure of Free Recall Due to Cognitive Impairment. | Holly A. Westfall, Michael D. Lee |
| 2020 | CogSci | Strategy Inference and Switch Detection Method Generalizes to Category Learning. | Alexander Hough, Kevin A. Gluck, Michael D. Lee |
| 2018 | CogSci | An Adaptive Signal Detection Model applied to Perceptual Learning. | Percy Mistry, Joshua C. Skewes, Michael D. Lee |
| 2016 | CogSci | Inferring Individual Differences Between and Within Exemplar and Decision-Bound Models of Categorization. | Irina Danileiko, Michael D. Lee |
| 2016 | CogSci | An Empirical Evaluation of Models for How People Learn Cue Search Orders. | Percy Mistry, Michael D. Lee, Ben R. Newell |
| 2015 | CogSci | A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory. | Irina Danileiko, Michael D. Lee, Michael L. Kalish |
| 2015 | CogSci | A Hierarchical Cognitive Threshold Model of Human Decision Making on Different Length Optimal Stopping Problems. | Maime Guan, Michael D. Lee, Joachim Vandekerckhove |
| 2015 | CogSci | The Roles of Knowledge and Memory in Generating Top-10 Lists. | Michael D. Lee, Emily Liu, Mark Steyvers |
| 2014 | CogSci | Threshold Models of Human Decision Making on Optimal Stopping Problems in Different Environments. | Maime Guan, Michael D. Lee, Andy Silva |
| 2014 | CogSci | Inferring the hypothesis spaces underlying inductive generalization. | Sean Tauber, Daniel J. Navarro, Amy Perfors, Michael D. Lee |
| 2013 | CogSci | Using Recognition in Multi-Attribute Decision Environments. | Don van Ravenzwaaij, Ben R. Newell, Chris P. Moore, Michael D. Lee |
| 2012 | CogSci | Modeling individual differences in socioeconomic game playing. | Derrik E. Asher, Shunan Zhang, Andrew Zaldivar, Michael D. Lee, Jeffrey L. Krichmar |
| 2011 | CogSci | A Model-Based Approach to Measuring Expertise in Ranking Tasks. | Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller |
| 2011 | CogSci | Modeling Multitrial Free Recall with Unknown Rehearsal Times. | James Pooley, Michael D. Lee, William Shankle |
| 2011 | CogSci | A Comparison of Three Measures of the Association Between a Feature and a Concept. | Matthew D. Zeigenfuse, Michael D. Lee |
| 2011 | CogSci | Modeling Category Identification Using Sparse Instance Representation. | Shunan Zhang, Michael D. Lee, Meng Yu, Jack Xin |
| 2005 | ISIT | An application of minimum description length clustering to partitioning learning curves. | Daniel J. Navarro, Michael D. Lee |
| 2000 | KES | Towards a transformational approach to perceptual organization. | Douglas Vickers, Daniel J. Navarro, Michael D. Lee |
| 1999 | WSC | Simulation to support operational testing: a practical application. | Bradford S. Canova, Peter H. Christensen, Michael D. Lee, Bruce R. Tripp, Michael H. Pack, David L. Pack |