1. Barnard, E., Cole, R.A., Hou, L.: Location and Classification of Plosive Constants Using Expert Knowledge and Neural Nets Classifiers. Journal of the Acoustical Society of America 84(Supp. 1), 60 (1988)
2. Batista, G.E.A.P.A., Monard, M.C.: A Computational Environment to Measure Machine Learning Systems Performance. In: Proceedings I ENIA, pp. 41–45 (1997) (in Portuguese)
3. Blake, C., Keogh, E., Merz, C.J.: UCI Repository of Machine Learning Databases, Department of Information and Computer Science,University of California, Irvine,
http://www.ics.uci.edu/mlearn/MLRepository.html
4. Chan, P.K., Stolfo, S.J.: Learning with Non-uniform Class and Cost Distributions: Effects and a Distributed Multi-Classifier Approach. In: KDD 1998 Workshop on Distributed Data Mining, pp. 1–9 (1998)
5. Cost, S., Salzberg, S.: A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features. Machine Learning 10(1), 57–78 (1993)