1. D. Baehrens, T. Schroeter, S. Harmeling, M. Kawanabe, K. Hansen, and K.-R. MÞller. How to explain individual classification decisions. Journal of Machine Learning Research, 11(Jun):1803--1831, 2010.
2. G. Balakrishnan and D. Coetzee. Predicting student retention in massive open online courses using hidden markov models. Electrical Engineering and Computer Sciences University of California at Berkeley, 2013.
3. N. V. Chawla, K. W. Bowyer, L. O. Hall, and W. P. Kegelmeyer. Smote: synthetic minority over-sampling technique. Journal of artificial intelligence research, 16:321--357, 2002.
4. N. V. Chawla, N. Japkowicz, and A. Kotcz. Editorial: special issue on learning from imbalanced data sets. ACM Sigkdd Explorations Newsletter, 6(1):1--6, 2004.
5. D. Clark. Moocs: taxonomy of 8 types of mooc. Donald Clark Paln B, 2013.