Print VersionConference Proceedings
Lambert, B. L., Lin, S.-J., Toh, S., Luce, P. A., McLennan, C., La Vigne, R., Fisher, W. M., Dickey, L. W., & Senders, J. W. (2006). Frequency and neighborhood effects on auditory perception of drug names in noise. Proceedings of NoiseCon 2005, Institute of Noise Control Engineering, Minneapolis, MN.
DownloadCarino, C., Jia, Y., Lambert, B. L., West, P. M., & Yu, C. (in press). Mining officially unrecognized side effects of drugs by combining web search and machine learning. Proceedings of the 2005 ACM Conference on Information and Knowledge Management, Bremen, Germany: ACM.
Lambert, B. L., Lin, S.-J., Gandhi, S. K., & Chang, K.-Y. (1999). Predicting and proddting drug name confusion errors: A summary of findings. In A. Scheffler (Ed.), Proceedings of Enhancing Patient Safety and Reducing Errors in Health Care (pp. 221-225). Chicago, IL: National Patient Safety Foundation.
Brewer, W. F., & Lambert, B. L. (1993). The theory-ladenness of observation: Evidence from cognitive psychology. Proceedings of the 15th Annual Conference of the Cognitive Science Society (pp. 254-259). Hillsdale, NJ: Lawrence Erlbaum Associates.
Tcheng, D. K., Lambert, B. L., Lu, S., & Rendell, L. (1991). AIMS: An adaptive interactive modelling system for supporting engineering decision-making. In L. Birnbaum and G. Collins (Eds.), Machine Learning: Proceedings of the eighth international workshop (pp. 645-649). San Mateo, CA: Morgan Kaufmann.
Tcheng, D. K., Lambert, B. L., and Lu, S. C-Y. (1989). Generalized recursive splitting algorithms for learning hybrid concepts. In Proceedings of the Sixth International Workshop on Machine Learning (pp. 496-498). San Mateo, CA: Morgan Kaufmann.