Nature-inspired techniques in the context of fraud detection M Behdad, L Barone, M Bennamoun, T French IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2012 | 111 | 2012 |
On XCSR for electronic fraud detection M Behdad, L Barone, T French, M Bennamoun Evolutionary Intelligence 5, 139-150, 2012 | 16 | 2012 |
On principal component analysis for high-dimensional XCSR M Behdad, T French, L Barone, M Bennamoun Evolutionary Intelligence 5, 129-138, 2012 | 11 | 2012 |
Online Learning Classifiers in Dynamic Environments with Incomplete Feedback M Behdad, T French Evolutionary Computation (CEC), 2013 IEEE Congress on, 1786-1793, 2013 | 7 | 2013 |
PCA for Improving the Performance of XCSR in Classification of High-dimensional Problems M Behdad, T French, L Barone, M Bennamoun Proceedings of the 13th annual conference companion on Genetic and …, 2011 | 5 | 2011 |
An investigation of real-valued accuracy-based learning classifier systems for electronic fraud detection M Behdad, L Barone, T French, M Bennamoun Proceedings of the 12th annual conference companion on Genetic and …, 2010 | 5 | 2010 |
Application of Learning Classifier Systems to Fraud Detection Problem M Behdad University of Western Australia, 2013 | | 2013 |
On the problems of using learning classifier systems for fraud detection M Behdad, T French, L Barone, M Bennamoun Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | | 2010 |
CSSE Technical Report UWA-CSSE-2010-001 March 2010 Learning Classifier Systems for Fraud Detection M Behdad, T French, L Barone, M Bennamoun Learning, 2010 | | 2010 |