Michael D. Lee

Publication Activity (10 Years)

Years Active: 1997-2022
Publications (10 Years): 10

Top Topics

Hypothesis Space

Human Decision Making

Individual Differences

Optimal Stopping

Top Venues

Publications

Holly A. Westfall, Michael D. Lee
A model of free recall for multiple encounters of semantically related stimuli with an application to understanding cognitive impairment. CogSci (2022)
Manuel Villarreal, Sahar Vaday, Michael D. Lee
Categorization in Environments that Change when People Learn. CogSci (2022)
Lauren E. Montgomery, Michael D. Lee
The Wisdom of the Crowd and Framing Effects in Spatial Knowledge. CogSci (2022)
Holly A. Westfall, Michael D. Lee
A Model-Based Analysis of Changes in the Semantic Structure of Free Recall Due to Cognitive Impairment. CogSci (2021)
Bobby Thomas, Jeff Coon, Holly A. Westfall, Michael D. Lee
Model-Based Wisdom of the Crowd for Sequential Decision-Making Tasks. Cogn. Sci. 45 (7) (2021)
Michael G. Collins, Alexander Hough, Michael D. Lee, Jayde King
Exploring Online Goal Inference in Real World Environments. CogSci (2021)
Irina Danileiko, Michael D. Lee
Inferring Individual Differences Between and Within Exemplar and Decision-Bound Models of Categorization. CogSci (2016)
Irina Danileiko, Michael D. Lee, Michael L. Kalish
A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory. CogSci (2015)
Maime Guan, Michael D. Lee, Joachim Vandekerckhove
A Hierarchical Cognitive Threshold Model of Human Decision Making on Different Length Optimal Stopping Problems. CogSci (2015)
Michael D. Lee, Emily Liu, Mark Steyvers
The Roles of Knowledge and Memory in Generating Top-10 Lists. CogSci (2015)
Sean Tauber, Daniel J. Navarro, Amy Perfors, Michael D. Lee
Inferring the hypothesis spaces underlying inductive generalization. CogSci (2014)
Don van Ravenzwaaij, Chris P. Moore, Michael D. Lee, Ben R. Newell
A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi-Attribute Judgment. Cogn. Sci. 38 (7) (2014)
Maime Guan, Michael D. Lee, Andy Silva
Threshold Models of Human Decision Making on Optimal Stopping Problems in Different Environments. CogSci (2014)
Don van Ravenzwaaij, Ben R. Newell, Chris P. Moore, Michael D. Lee
Using Recognition in Multi-Attribute Decision Environments. CogSci (2013)
Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller
Inferring Expertise in Knowledge and Prediction Ranking Tasks. Top. Cogn. Sci. 4 (1) (2012)
Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee, Matthew J. Dry
The Wisdom of the Crowd in Combinatorial Problems. Cogn. Sci. 36 (3) (2012)
Daniel J. Navarro, Matthew J. Dry, Michael D. Lee
Sampling Assumptions in Inductive Generalization. Cogn. Sci. 36 (2) (2012)
Marcus A. Butavicius, Michael D. Lee, Brandon M. Pincombe, Louise G. Mullen, Daniel J. Navarro, Kathryn Parsons, Agata McCormac
An assessment of email and spontaneous dialog visualizations. Int. J. Hum. Comput. Stud. 70 (6) (2012)
Derrik E. Asher, Shunan Zhang, Andrew Zaldivar, Michael D. Lee, Jeffrey L. Krichmar
Modeling individual differences in socioeconomic game playing. CogSci (2012)
Matthew D. Zeigenfuse, Michael D. Lee
A Comparison of Three Measures of the Association Between a Feature and a Concept. CogSci (2011)
James Pooley, Michael D. Lee, William Shankle
Modeling Multitrial Free Recall with Unknown Rehearsal Times. CogSci (2011)
Michael D. Lee, Shunan Zhang, Miles Munro, Mark Steyvers
Psychological models of human and optimal performance in bandit problems. Cogn. Syst. Res. 12 (2) (2011)
Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller
A Model-Based Approach to Measuring Expertise in Ranking Tasks. CogSci (2011)
Shunan Zhang, Michael D. Lee, Meng Yu, Jack Xin
Modeling Category Identification Using Sparse Instance Representation. CogSci (2011)
Michael D. Lee, Barbara W. Sarnecka
A Model of Knower-Level Behavior in Number Concept Development. Cogn. Sci. 34 (1) (2010)
Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee
Modeling Human Performance in Restless Bandits with Particle Filters. J. Probl. Solving 2 (2) (2009)
Mark Steyvers, Michael D. Lee, Brent Miller, Pernille Hemmer
The Wisdom of Crowds in the Recollection of Order Information. NIPS (2009)
Edward P. Chronicle, James N. MacGregor, Michael D. Lee, Thomas C. Ormerod, Peter Hughes
Individual Differences in Optimization Problem Solving: Reconciling Conflicting Results. J. Probl. Solving 2 (1) (2008)
Michael D. Lee, Wolf Vanpaemel
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis. Cogn. Sci. 32 (8) (2008)
Richard M. Shiffrin, Michael D. Lee, Woojae Kim, Eric-Jan Wagenmakers
A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods. Cogn. Sci. 32 (8) (2008)
Marcus A. Butavicius, Michael D. Lee
An empirical evaluation of four data visualization techniques for displaying short news text similarities. Int. J. Hum. Comput. Stud. 65 (11) (2007)
Michael D. Lee, Michael J. Paradowski
Group Decision-Making on an Optimal Stopping Problem. J. Probl. Solving 1 (2) (2007)
Michael D. Lee
A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem. Cogn. Sci. 30 (3) (2006)
Michael D. Lee, Matthew J. Dry
Decision Making and Confidence Given Uncertain Advice. Cogn. Sci. 30 (6) (2006)
Michael D. Lee, Ian G. Fuss, Daniel J. Navarro
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time. NIPS (2006)
Matthew J. Dry, Michael D. Lee, Douglas Vickers, Peter Hughes
Human Performance on Visually Presented Traveling Salesperson Problems with Varying Numbers of Nodes. J. Probl. Solving 1 (1) (2006)
Nicholas R. Burns, Michael D. Lee, Douglas Vickers
Are Individual Differences in Performance on Perceptual and Cognitive Optimization Problems Determined by General Intelligence? J. Probl. Solving 1 (1) (2006)
Daniel J. Navarro, Michael D. Lee
An application of minimum description length clustering to partitioning learning curves. ISIT (2005)
Michael D. Lee, Elissa Y. Corlett
Sequential sampling models of human text classification. Cogn. Sci. 27 (2) (2003)
Michael D. Lee, Marcus A. Butavicius, Rachel E. Reilly
Visualizations of binary data: A comparative evaluation. Int. J. Hum. Comput. Stud. 59 (5) (2003)
Michael D. Lee, Rachel E. Reilly
An Empirical Evaluation of Chernoff Faces, Star Glyphs, and Spatial Visualisations for Binary Data. InVis.au (2003)
Michael D. Lee
Berlin: Springer-Verlag, 2000, 492 pp. J. Classif. 19 (1) (2002)
Michael D. Lee
Generating Additive Clustering Models with Minimal Stochastic Complexity. J. Classif. 19 (1) (2002)
Michael D. Lee
A Simple Method for Generating Additive Clustering Models with Limited Complexity. Mach. Learn. 49 (1) (2002)
Daniel J. Navarro, Michael D. Lee
Combining Dimensions and Features in Similarity-Based Representations. NIPS (2002)
Michael D. Lee
Fast Text Classification Using Sequential Sampling Processes. Australian Joint Conference on Artificial Intelligence (2001)
Douglas Vickers, Daniel J. Navarro, Michael D. Lee
Towards a transformational approach to perceptual organization. KES (2000)
Michael D. Lee
Neural Feature Abstraction from Judgements of Similarity. Neural Comput. 10 (7) (1998)
Michael D. Lee
The Connectionist Construction of Psychological Spaces. Connect. Sci. 9 (4) (1997)