1. Aha, D. W. (1990). A study of instance-based learning algorithms for supervised learning tasks: Mathematical, empirical, and psychological evaluations (TR 90-42). Irvine, CA: University of California, Department of Information and Computer Science.
2. Aha, D. W. (1991). Incremental constructive induction: An instance-based approach. In Proceedings of the Eighth International Workshop on Machine Learning (pp. 117–121). Evanston, IL: Morgan Kaufmann.
3. Aha, D. W., & Bankert, R. L. (1994). Feature selection for case-based classification of cloud types: An empirical comparison. In D. W. Aha (Ed.) Case-Based Reasoning: Papers from the 1994 Workshop (TR WS-94-01). Menlo Park, CA: AAAI Press.
4. Aha, D. W., & Goldstone, R. L. (1992). Concept learning and flexible weighting. In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society (pp. 534–539). Bloomington, IN: Lawrence Erlbaum.
5. Cain, T., Pazzani, M. J., & Silverstein, G. (1991). Using domain knowledge to influence similarity judgement. In Proceedings of the Case-Based Reasoning Workshop (pp. 191–202). Washington, DC: Morgan Kaufmann.