Cited By
View all- Huda SYearwood JStranieri A(2011)Hybrid wrapper-filter approaches for input feature selection using maximum relevance-minimum redundancy and artificial neural network input gain measurement approximation (ANNIGMA)Proceedings of the Thirty-Fourth Australasian Computer Science Conference - Volume 11310.5555/2459296.2459302(43-52)Online publication date: 17-Jan-2011
- De Stefano CFontanella FMarrocco C(2008)A GA-based feature selection algorithm for remote sensing imagesProceedings of the 2008 conference on Applications of evolutionary computing10.5555/1787943.1787976(285-294)Online publication date: 26-Mar-2008
- Oh ILee JMoon B(2004)Hybrid Genetic Algorithms for Feature SelectionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2004.10526:11(1424-1437)Online publication date: 1-Nov-2004