journal articles

1. Vanpaemel, W. (2009). BayesGCM: Software for Bayesian inference with the generalized context model. Behavior Research Methods, 41 , 1111-1120. [download pdf] [download code]

2. Vanpaemel, W., & Storms, G. (2008). In search of abstraction: The varying abstraction model of categorization. Psychonomic Bulletin & Review, 15, 732-749 [download pdf]

3. Lee, M. D., & Vanpaemel, W. (2008). Exemplars, prototypes, similarities and rules in category representation: An example of hierarchical Bayesian analysis. Cognitive Science, 32, 1403-1424. [download pdf]

4. Voorspoels, W., Vanpaemel, W., & Storms, G. (2008). Exemplars and prototypes in natural language concepts: A typicality-based evaluation. Psychonomic Bulletin & Review, 15, 630-637 [download pdf]

5. De Deyne, S., Verheyen, S., Ameel, E., Vanpaemel, W., Dry, M. J., Voorspoels, W., & Storms, G. (2008). Exemplar by feature applicability matrices and other Dutch normative data for semantic concepts. Behavior Research Methods , 40, 1030-1048. [download pdf]

6. Verbeemen, T., Vanpaemel, W., Pattyn, S., Storms, G., & Verguts, T. (2007). Beyond exemplars and prototypes as memory representations of natural concepts: A clustering approach. Journal of Memory and Language, 56, 537-554. [download pdf]

7. Ruts, W., De Deyne, S., Ameel, E., Vanpaemel, W., Verbeemen, T., & Storms, G. (2004). Dutch norm data for 13 semantic categories and 338 exemplars. Behavior Research Methods, Instrumentation, and Computers, 36, 506-515. [download pdf]

refereed conference papers

1. Vanpaemel, W. (2009). Measuring model complexity with the prior predictive. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, & A. Culotta (Eds.), Advances in Neural Information Processing Systems 22 (pp. 1919-1927). [download pdf]

2. Voorspoels, W., Vanpaemel, W., & Storms, G. (2009). The role of extensional information in conceptual combination. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31th Annual Conference of the Cognitive Science Society. (pp. 2432-2437). Austin, TX: Cognitive Science Society. [download pdf]

3. Voorspoels, W., Vanpaemel, W., & Storms, G. (2008). Modeling typicality: Extending the prototype view. In B.C. Love, K. McRae, & V.M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. (pp. 757-762). Austin, TX: Cognitive Science Society. [download pdf]

4. Vanpaemel, W., & Lee, M.D. (2007). A model of building representations for category learning. In D.S. McNamara and J.G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society. (pp. 1605-1610). Austin, TX: Cognitive Science Society. [download pdf]

5. Vanpaemel, W., & Navarro, D. J. (2007). Representational shifts during category learning. In D.S. McNamara and J.G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society. (pp. 1599-1604). Austin, TX: Cognitive Science Society. [download pdf]

6. Vanpaemel, W., Pattyn, S., & Storms, G. (2006). Yet another look at thirty categorization results. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society, (pp 2299-2304). Mahwah, NJ: Lawrence Erlbaum. [download pdf]

7. Vanpaemel, W., Storms, G., & Ons, B. (2005). A varying abstraction model for categorization. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society, (pp 2277-2282). Mahwah, NJ: Lawrence Erlbaum. [download pdf]