The Connectionist Construction of Psychological Spaces. - Michael D. Lee 001 (Connect. Sci., 1997)

Neural Feature Abstraction from Judgements of Similarity. - Michael D. Lee 001 (Neural Comput., 1998)

Towards a transformational approach to perceptual organization. - Douglas Vickers; Daniel J. Navarro; Michael D. Lee 001 (KES, 2000)

Fast Text Classification Using Sequential Sampling Processes. - Michael D. Lee 001 (Australian Joint Conference on Artificial Intelligence, 2001)

Combining Dimensions and Features in Similarity-Based Representations. - Daniel J. Navarro; Michael D. Lee 001 (NIPS, 2002)

Generating Additive Clustering Models with Minimal Stochastic Complexity. - Michael D. Lee 001 (J. Classif., 2002)

R. Decker and W. Gaul, Eds., Classification and Information Processing at the Turn of the Millennium, Berlin: Springer-Verlag, 2000, 492 pp. - Michael D. Lee 001 (J. Classif., 2002)

A Simple Method for Generating Additive Clustering Models with Limited Complexity. - Michael D. Lee 001 (Mach. Learn., 2002)

An Empirical Evaluation of Chernoff Faces, Star Glyphs, and Spatial Visualisations for Binary Data. - Michael D. Lee 001; Rachel E. Reilly (InVis.au, 2003)

Sequential sampling models of human text classification. - Michael D. Lee 001; Elissa Y. Corlett (Cogn. Sci., 2003)

Visualizations of binary data: A comparative evaluation. - Michael D. Lee 001; Marcus A. Butavicius; Rachel E. Reilly (Int. J. Hum. Comput. Stud., 2003)

An application of minimum description length clustering to partitioning learning curves. - Daniel J. Navarro; Michael D. Lee 001 (ISIT, 2005)

A Bayesian Approach to Diffusion Models of Decision-Making and Response Time. - Michael D. Lee 001; Ian G. Fuss; Daniel J. Navarro (NIPS, 2006)

A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem. - Michael D. Lee 001 (Cogn. Sci., 2006)

Decision Making and Confidence Given Uncertain Advice. - Michael D. Lee 001; Matthew J. Dry (Cogn. Sci., 2006)

Are Individual Differences in Performance on Perceptual and Cognitive Optimization Problems Determined by General Intelligence? - Nicholas R. Burns; Michael D. Lee 001; Douglas Vickers (J. Probl. Solving, 2006)

Human Performance on Visually Presented Traveling Salesperson Problems with Varying Numbers of Nodes. - Matthew J. Dry; Michael D. Lee 001; Douglas Vickers; Peter Hughes (J. Probl. Solving, 2006)

An empirical evaluation of four data visualization techniques for displaying short news text similarities. - Marcus A. Butavicius; Michael D. Lee 001 (Int. J. Hum. Comput. Stud., 2007)

Group Decision-Making on an Optimal Stopping Problem. - Michael D. Lee 001; Michael J. Paradowski (J. Probl. Solving, 2007)

Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis. - Michael D. Lee 001; Wolf Vanpaemel (Cogn. Sci., 2008)

A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods. - Richard M. Shiffrin; Michael D. Lee 001; Woojae Kim; Eric-Jan Wagenmakers (Cogn. Sci., 2008)

Individual Differences in Optimization Problem Solving: Reconciling Conflicting Results. - Edward P. Chronicle; James N. MacGregor; Michael D. Lee 001; Thomas C. Ormerod; Peter Hughes (J. Probl. Solving, 2008)

The Wisdom of Crowds in the Recollection of Order Information. - Mark Steyvers; Michael D. Lee 001; Brent Miller; Pernille Hemmer (NIPS, 2009)

Modeling Human Performance in Restless Bandits with Particle Filters. - Sheng Kung Michael Yi; Mark Steyvers; Michael D. Lee 001 (J. Probl. Solving, 2009)

A Model of Knower-Level Behavior in Number Concept Development. - Michael D. Lee 001; Barbara W. Sarnecka (Cogn. Sci., 2010)

A Model-Based Approach to Measuring Expertise in Ranking Tasks. - Michael D. Lee 001; Mark Steyvers; Mindy de Young; Brent Miller (CogSci, 2011)

Modeling Multitrial Free Recall with Unknown Rehearsal Times. - James Pooley; Michael D. Lee 001; William Shankle (CogSci, 2011)

A Comparison of Three Measures of the Association Between a Feature and a Concept. - Matthew D. Zeigenfuse; Michael D. Lee 001 (CogSci, 2011)

Modeling Category Identification Using Sparse Instance Representation. - Shunan Zhang; Michael D. Lee 001; Meng Yu 003; Jack Xin (CogSci, 2011)

Psychological models of human and optimal performance in bandit problems. - Michael D. Lee 001; Shunan Zhang; Miles Munro; Mark Steyvers (Cogn. Syst. Res., 2011)

Modeling individual differences in socioeconomic game playing. - Derrik E. Asher; Shunan Zhang; Andrew Zaldivar; Michael D. Lee 001; Jeffrey L. Krichmar (CogSci, 2012)

Sampling Assumptions in Inductive Generalization. - Daniel J. Navarro; Matthew J. Dry; Michael D. Lee 001 (Cogn. Sci., 2012)

The Wisdom of the Crowd in Combinatorial Problems. - Sheng Kung Michael Yi; Mark Steyvers; Michael D. Lee 001; Matthew J. Dry (Cogn. Sci., 2012)

An assessment of email and spontaneous dialog visualizations. - Marcus A. Butavicius; Michael D. Lee 001; Brandon M. Pincombe; Louise G. Mullen; Daniel J. Navarro; Kathryn Parsons; Agata McCormac (Int. J. Hum. Comput. Stud., 2012)

Inferring Expertise in Knowledge and Prediction Ranking Tasks. - Michael D. Lee 001; Mark Steyvers; Mindy de Young; Brent Miller (Top. Cogn. Sci., 2012)

Using Recognition in Multi-Attribute Decision Environments. - Don van Ravenzwaaij; Ben R. Newell; Chris P. Moore; Michael D. Lee 001 (CogSci, 2013)

Threshold Models of Human Decision Making on Optimal Stopping Problems in Different Environments. - Maime Guan; Michael D. Lee 001; Andy Silva (CogSci, 2014)

Inferring the hypothesis spaces underlying inductive generalization. - Sean Tauber; Daniel J. Navarro; Amy Perfors; Michael D. Lee 001 (CogSci, 2014)

A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi-Attribute Judgment. - Don van Ravenzwaaij; Chris P. Moore; Michael D. Lee 001; Ben R. Newell (Cogn. Sci., 2014)

A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory. - Irina Danileiko; Michael D. Lee 001; Michael L. Kalish (CogSci, 2015)

A Hierarchical Cognitive Threshold Model of Human Decision Making on Different Length Optimal Stopping Problems. - Maime Guan; Michael D. Lee 001; Joachim Vandekerckhove (CogSci, 2015)

The Roles of Knowledge and Memory in Generating Top-10 Lists. - Michael D. Lee 001; Emily Liu; Mark Steyvers (CogSci, 2015)

Inferring Individual Differences Between and Within Exemplar and Decision-Bound Models of Categorization. - Irina Danileiko; Michael D. Lee 001 (CogSci, 2016)

An Empirical Evaluation of Models for How People Learn Cue Search Orders. - Percy Mistry; Michael D. Lee 001; Ben R. Newell (CogSci, 2016)

An Adaptive Signal Detection Model applied to Perceptual Learning. - Percy Mistry; Joshua C. Skewes; Michael D. Lee 001 (CogSci, 2018)

Strategy Inference and Switch Detection Method Generalizes to Category Learning. - Alexander Hough; Kevin A. Gluck; Michael D. Lee 001 (CogSci, 2020)

Exploring Online Goal Inference in Real World Environments. - Michael G. Collins; Alexander Hough; Michael D. Lee 001; Jayde King (CogSci, 2021)

A Model-Based Analysis of Changes in the Semantic Structure of Free Recall Due to Cognitive Impairment. - Holly A. Westfall; Michael D. Lee 001 (CogSci, 2021)

Model-Based Wisdom of the Crowd for Sequential Decision-Making Tasks. - Bobby Thomas; Jeff Coon; Holly A. Westfall; Michael D. Lee 001 (Cogn. Sci., 2021)

The Wisdom of the Crowd and Framing Effects in Spatial Knowledge. - Lauren E. Montgomery; Michael D. Lee 001 (CogSci, 2022)

Categorization in Environments that Change when People Learn. - Manuel Villarreal; Sahar Vaday; Michael D. Lee 001 (CogSci, 2022)

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 001 (CogSci, 2022)