Curriculum Vitae: Michael David LEE Personal Details Name ...
Curriculum Vitae: Michael David LEE Personal Details Name ...
Curriculum Vitae: Michael David LEE Personal Details Name ...
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<strong>Curriculum</strong> <strong>Vitae</strong>: <strong>Michael</strong> <strong>David</strong> <strong>LEE</strong>, 4-November-2011<br />
22. Lee, M.D., Fuss, I.G, & Navarro, D.J. (2006). A Bayesian approach to diffusion models of decision‐making and response<br />
time. In B. Schölkopf, J.C. Platt, & T. Hoffman (Eds.), Advances in Neural Information Processing Systems 19, pp. 809‐<br />
815. Cambridge, MA: MIT Press.<br />
23. Vanpaemel, W., & Lee, M.D. (2007). A model of building representations for category learning. In D. McNamara and<br />
G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 1605‐1610. Austin,<br />
TX: Cognitive Science Society.<br />
24. Newell, B.R., Collins, P., & Lee, M.D. (2007). Adjusting the spanner: Testing an evidence accumulation model of<br />
decision making. In D. McNamara and G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive<br />
Science Society, pp. 535‐538. Austin, TX: Cognitive Science Society.<br />
25. Navarro, D.J, Lee, M.D., Dry, M.J, & Schultz, B. (2008). Extending and testing the Bayesian theory of generalization. In<br />
V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society,<br />
pp. 1746‐1751. Austin, TX: Cognitive Science Society.<br />
26. Zeigenfuse, M.D., & Lee, M.D. (2008). Finding feature representations of stimuli: Combining feature generation and<br />
similarity judgment tasks. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the<br />
Cognitive Science Society, pp. 1825‐1830. Austin, TX: Cognitive Science Society.<br />
27. Vandekerckhove, J., Tuerlinckx, F., & Lee, M.D. (2008). A Bayesian approach to diffusion process models of decisionmaking.<br />
In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science<br />
Society, pp. 1429‐1434. Austin, TX: Cognitive Science Society.<br />
28. Welsh, M.B., Lee, M.D., & Begg, S.H. (2008). More‐Or‐Less Elicitation (MOLE): Testing a heuristic elicitation model. In<br />
V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society,<br />
pp. 493‐498. Austin, TX: Cognitive Science Society.<br />
29. Rubin, T.N., Lee, M.D., & Chubb, C.F. (2008). Hierarchical Bayesian modeling of individual differences in texture<br />
discrimination. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive<br />
Science Society, pp. 1404‐1409. Austin, TX: Cognitive Science Society.<br />
30. Lee, M.D., & Habibi, A. (2009). A cyclic sequential sampling model of bistable auditory perception. In N. Taatgen, H.<br />
van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science<br />
Society, pp. 2669‐2674. Austin, TX: Cognitive Science Society.<br />
31. Pooley, J.P., Lee, M.D., & Shankle, W.R. (2009). Recognition memory deficits in Alzheimer's disease: Modeling clinical<br />
groups and individual patients. In N. Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st<br />
Annual Conference of the Cognitive Science Society, pp. 2849‐2954. Austin, TX: Cognitive Science Society.<br />
32. Zeigenfuse, M.D., & Lee, M.D. (2009). Bayesian nonparametric modeling of individual differences: A case study using<br />
decision‐making on bandit problems. In N. Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of<br />
the 31st Annual Conference of the Cognitive Science Society, pp. 1412‐1415. Austin, TX: Cognitive Science Society.<br />
33. Welsh, M.B., Lee, M.D., & Begg, S.H. (2009). Repeated judgments in elicitation tasks: Efficacy of the MOLE method. In<br />
N. Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the<br />
Cognitive Science Society, pp. 1529‐1534 Austin, TX: Cognitive Science Society.<br />
34. Newell, B.R., & Lee, M.D. (2009). Learning to adapt evidence thresholds in decision making. In N. Taatgen, H. van Rijn,<br />
J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society, pp.<br />
473‐478. Austin, TX: Cognitive Science Society.<br />
35. Dry, M.J., Navarro, D.J., Preiss, A.K., & Lee, M.D. (2009). The perceptual organization of point constellations. In N.<br />
Taatgen, H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive<br />
Science Society, pp. 1151‐1156. Austin, TX: Cognitive Science Society.<br />
36. Lee, M.D., Grothe, E., & Steyvers, M. (2009). Conjunction and disjunction fallacies in prediction markets. In N. Taatgen,<br />
H. van Rijn, J. Nerbonne, & L. Shonmaker (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science<br />
Society, pp. 1639‐1644. Austin, TX: Cognitive Science Society.<br />
37. Lee, M.D., Zhang, S., Munro. M.N., & Steyvers, M. (2009). Using heuristic models to understand human and optimal<br />
decision‐making on bandit problems. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on<br />
Cognitive Modeling – ICCM2009, Manchester, UK.<br />
38. Miller, B., Hemmer, P., Steyvers, M., & Lee, M.D. (2009). The wisdom of crowds in rank ordering problems. In A.<br />
Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester,<br />
UK.<br />
39. Zhang, S., Lee, M.D., & Munro. M.N. (2009). Human and optimal exploration and exploitation in bandit problems. In A.<br />
Howes, D. Peebles, & R. Cooper (Eds.), 9th International Conference on Cognitive Modeling – ICCM2009, Manchester,<br />
UK.<br />
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