Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
A level set approach for computing solutions to incompressible two-phase flow
Journal of Computational Physics
Geometric partial differential equations and image analysis
Geometric partial differential equations and image analysis
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A study of the behavior of several methods for balancing machine learning training data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Extreme re-balancing for SVMs: a case study
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Proceedings of the 24th international conference on Machine learning
Introduction to Information Retrieval
Introduction to Information Retrieval
On the Class Imbalance Problem
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 04
SMOTE: synthetic minority over-sampling technique
Journal of Artificial Intelligence Research
Combined effects of class imbalance and class overlap on instance-based classification
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems. However, the use of these measures in the classifier design process is still unsolved. In this work we propose a classifier designed specifically to optimize one of these alternative measures, namely, the so-called F-measure. Nevertheless, the technique is general, and it can be used to optimize other evaluation measures. An algorithm to train the novel classifier is proposed, and the numerical scheme is tested with several databases, showing the optimality and robustness of the presented classifier.