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Mohammad Behdad
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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
992012
On XCSR for electronic fraud detection
M Behdad, L Barone, T French, M Bennamoun
Evolutionary Intelligence 5, 139-150, 2012
162012
On principal component analysis for high-dimensional XCSR
M Behdad, T French, L Barone, M Bennamoun
Evolutionary Intelligence 5, 129-138, 2012
132012
Online Learning Classifiers in Dynamic Environments with Incomplete Feedback
M Behdad, T French
Evolutionary Computation (CEC), 2013 IEEE Congress on, 1786-1793, 2013
72013
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
52011
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
52010
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
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Artikelen 1–9