Michael D. Lee

52 papers B 22Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	B	`conf`	A model of free recall for multiple encounters of semantically related stimuli with an application to understanding cognitive impairment. CogSci Holly A. Westfall, Michael D. Lee
2022	B	`conf`	Categorization in Environments that Change when People Learn. CogSci Manuel Villarreal, Sahar Vaday, Michael D. Lee
2022	B	`conf`	The Wisdom of the Crowd and Framing Effects in Spatial Knowledge. CogSci Lauren E. Montgomery, Michael D. Lee
2021	B	`conf`	A Model-Based Analysis of Changes in the Semantic Structure of Free Recall Due to Cognitive Impairment. CogSci Holly A. Westfall, Michael D. Lee
2021	B	`conf`	Exploring Online Goal Inference in Real World Environments. CogSci Michael G. Collins, Alexander Hough, Michael D. Lee, Jayde King
2021	J	`jnl`	Model-Based Wisdom of the Crowd for Sequential Decision-Making Tasks. Cogn. Sci. Bobby Thomas, Jeff Coon, Holly A. Westfall, Michael D. Lee
2020	B	`conf`	Strategy Inference and Switch Detection Method Generalizes to Category Learning. CogSci Alexander Hough, Kevin A. Gluck, Michael D. Lee
2018	B	`conf`	An Adaptive Signal Detection Model applied to Perceptual Learning. CogSci Percy Mistry, Joshua C. Skewes, Michael D. Lee
2016	B	`conf`	An Empirical Evaluation of Models for How People Learn Cue Search Orders. CogSci Percy Mistry, Michael D. Lee, Ben R. Newell
2016	B	`conf`	Inferring Individual Differences Between and Within Exemplar and Decision-Bound Models of Categorization. CogSci Irina Danileiko, Michael D. Lee
2015	B	`conf`	A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory. CogSci Irina Danileiko, Michael D. Lee, Michael L. Kalish
2015	B	`conf`	A Hierarchical Cognitive Threshold Model of Human Decision Making on Different Length Optimal Stopping Problems. CogSci Maime Guan, Michael D. Lee, Joachim Vandekerckhove
2015	B	`conf`	The Roles of Knowledge and Memory in Generating Top-10 Lists. CogSci Michael D. Lee, Emily Liu, Mark Steyvers
2014	J	`jnl`	A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi-Attribute Judgment. Cogn. Sci. Don van Ravenzwaaij, Chris P. Moore, Michael D. Lee, Ben R. Newell
2014	B	`conf`	Inferring the hypothesis spaces underlying inductive generalization. CogSci Sean Tauber, Daniel J. Navarro, Amy Perfors, Michael D. Lee
2014	B	`conf`	Threshold Models of Human Decision Making on Optimal Stopping Problems in Different Environments. CogSci Maime Guan, Michael D. Lee, Andy Silva
2013	B	`conf`	Using Recognition in Multi-Attribute Decision Environments. CogSci Don van Ravenzwaaij, Ben R. Newell, Chris P. Moore, Michael D. Lee
2012	J	`jnl`	An assessment of email and spontaneous dialog visualizations. Int. J. Hum. Comput. Stud. Marcus A. Butavicius, Michael D. Lee, Brandon M. Pincombe, Louise G. Mullen, Daniel J. Navarro, Kathryn Parsons, Agata McCormac
2012	J	`jnl`	Inferring Expertise in Knowledge and Prediction Ranking Tasks. Top. Cogn. Sci. Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller
2012	B	`conf`	Modeling individual differences in socioeconomic game playing. CogSci Derrik E. Asher, Shunan Zhang, Andrew Zaldivar, Michael D. Lee, Jeffrey L. Krichmar
2012	J	`jnl`	Sampling Assumptions in Inductive Generalization. Cogn. Sci. Daniel J. Navarro, Matthew J. Dry, Michael D. Lee
2012	J	`jnl`	The Wisdom of the Crowd in Combinatorial Problems. Cogn. Sci. Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee, Matthew J. Dry
2011	B	`conf`	A Comparison of Three Measures of the Association Between a Feature and a Concept. CogSci Matthew D. Zeigenfuse, Michael D. Lee
2011	B	`conf`	A Model-Based Approach to Measuring Expertise in Ranking Tasks. CogSci Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller
2011	B	`conf`	Modeling Category Identification Using Sparse Instance Representation. CogSci Shunan Zhang, Michael D. Lee, Meng Yu, Jack Xin
2011	B	`conf`	Modeling Multitrial Free Recall with Unknown Rehearsal Times. CogSci James Pooley, Michael D. Lee, William Shankle
2011	J	`jnl`	Psychological models of human and optimal performance in bandit problems. Cogn. Syst. Res. Michael D. Lee, Shunan Zhang, Miles Munro, Mark Steyvers
2010	J	`jnl`	A Model of Knower-Level Behavior in Number Concept Development. Cogn. Sci. Michael D. Lee, Barbara W. Sarnecka
2009	J	`jnl`	Modeling Human Performance in Restless Bandits with Particle Filters. J. Probl. Solving Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee
2009	—	`conf`	The Wisdom of Crowds in the Recollection of Order Information. NIPS Mark Steyvers, Michael D. Lee, Brent Miller, Pernille Hemmer
2008	J	`jnl`	A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods. Cogn. Sci. Richard M. Shiffrin, Michael D. Lee, Woojae Kim, Eric-Jan Wagenmakers
2008	J	`jnl`	Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis. Cogn. Sci. Michael D. Lee, Wolf Vanpaemel
2008	J	`jnl`	Individual Differences in Optimization Problem Solving: Reconciling Conflicting Results. J. Probl. Solving Edward P. Chronicle, James N. MacGregor, Michael D. Lee, Thomas C. Ormerod, Peter Hughes
2007	J	`jnl`	An empirical evaluation of four data visualization techniques for displaying short news text similarities. Int. J. Hum. Comput. Stud. Marcus A. Butavicius, Michael D. Lee
2007	J	`jnl`	Group Decision-Making on an Optimal Stopping Problem. J. Probl. Solving Michael D. Lee, Michael J. Paradowski
2006	—	`conf`	A Bayesian Approach to Diffusion Models of Decision-Making and Response Time. NIPS Michael D. Lee, Ian G. Fuss, Daniel J. Navarro
2006	J	`jnl`	A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem. Cogn. Sci. Michael D. Lee
2006	J	`jnl`	Are Individual Differences in Performance on Perceptual and Cognitive Optimization Problems Determined by General Intelligence? J. Probl. Solving Nicholas R. Burns, Michael D. Lee, Douglas Vickers
2006	J	`jnl`	Decision Making and Confidence Given Uncertain Advice. Cogn. Sci. Michael D. Lee, Matthew J. Dry
2006	J	`jnl`	Human Performance on Visually Presented Traveling Salesperson Problems with Varying Numbers of Nodes. J. Probl. Solving Matthew J. Dry, Michael D. Lee, Douglas Vickers, Peter Hughes
2005	B	`conf`	An application of minimum description length clustering to partitioning learning curves. ISIT Daniel J. Navarro, Michael D. Lee
2003	—	`conf`	An Empirical Evaluation of Chernoff Faces, Star Glyphs, and Spatial Visualisations for Binary Data. InVis.au Michael D. Lee, Rachel E. Reilly
2003	J	`jnl`	Sequential sampling models of human text classification. Cogn. Sci. Michael D. Lee, Elissa Y. Corlett
2003	J	`jnl`	Visualizations of binary data: A comparative evaluation. Int. J. Hum. Comput. Stud. Michael D. Lee, Marcus A. Butavicius, Rachel E. Reilly
2002	J	`jnl`	A Simple Method for Generating Additive Clustering Models with Limited Complexity. Mach. Learn. Michael D. Lee
2002	—	`conf`	Combining Dimensions and Features in Similarity-Based Representations. NIPS Daniel J. Navarro, Michael D. Lee
2002	J	`jnl`	Generating Additive Clustering Models with Minimal Stochastic Complexity. J. Classif. Michael D. Lee
2002	J	`jnl`	R. Decker and W. Gaul, Eds., J. Classif. Michael D. Lee
2001	—	`conf`	Fast Text Classification Using Sequential Sampling Processes. Australian Joint Conference on Artificial Intelligence Michael D. Lee
2000	B	`conf`	Towards a transformational approach to perceptual organization. KES Douglas Vickers, Daniel J. Navarro, Michael D. Lee
1998	J	`jnl`	Neural Feature Abstraction from Judgements of Similarity. Neural Comput. Michael D. Lee
1997	J	`jnl`	The Connectionist Construction of Psychological Spaces. Connect. Sci. Michael D. Lee