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R. Barandela and J. S. Sanchez and V. Garcia and E. Rangel
ABSTRACT
In this work, we present preliminary results of a more extensive research that we are conducting to explore all the issues related to the class imbalance problem. Initially, we focused on resampling the TS and also on internally biasing the discrimination-based process, as well as on a combination of them. These approaches are evaluated over four real datasets using a nearest neighbor (NN) classifier and the geometric mean as performance measure. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Strategies for learning in class imbalance problemsSite generated on Friday, 06 January 2006