1 |
C. Cortes and M. Mohri, 'AUC optimization vs. error rate minimization,' Advances in Neural Information Processing Systems, vol. 15, 2003
|
2 |
M. K, Markey, J. Y. Lo, R. Vargas-Woracek, G. D. Tourassi, and C. E. Floyd Jr., 'Perceptron error surface analysis: a case study in breast cancer diagnosis,' Computers in Biology and Medicine, vol. 32, pp. 99-109, 2002
DOI
ScienceOn
|
3 |
H. B. Mann and D. R. Whitney, 'On a test whether one of two random variables is stochastically larger than the other,' Ann. Math. Statist., vol. 18, pp. 50-60, 1947
DOI
ScienceOn
|
4 |
L. Yan, R, Dodier, M. Mozer, and R. Wolniewicz, 'Optimizing classifier performance via the Wilcoxon-Mann-Whitney statistics,' Proc. Int'l Conf. Machine Learning, pp. 848-855, 2003
|
5 |
P. K. Chan, W. Fan, A. L. Prodromidis, and S. J. Stolfo, 'Distributed data mining in credit card fraud detection,' IEEE Intelligent Systems, vol. 14, 57-74, 1999
|
6 |
R. J. Bolton and D. J. Hand, 'Statistical fraud detection: A review,' Statistical Science, vol. 17, pp. 235-255, 2002
DOI
ScienceOn
|
7 |
B. Sahiner, H.-P. Chan, N. Petrick, S. S. Gopal, and M. M. Goodsitt, 'Neural network design for optimization of the partial area under the receiver operating characteristic curve,' Proc. of IEEE Int. Conf. on Neural Networks, 1997
DOI
|
8 |
A. Bradley, 'The use of the area under the ROC curve in the evaluation of machine learning algorithms,' Pattern Recognition, vol 30, pp. 1145-1159, 1997
DOI
ScienceOn
|
9 |
F. Provost and T. Fawcett, 'Analysis and visualization of classifier performance comparison under imprecise class and cost distributions,' Proc. Int'l Conf. Knowledge Discovery and Data Mining, pp. 43-48, 1997
|
10 |
H. Verrelst, Y. Moreau, J. Vanderwalle, and D. Timmerman, 'Use of a multi-layer perceptron to predict malignancy in ovarian tumors,' Advances in Neural Information Processing Systems, vol. 10, 1998
|