A dynamic over-sampling procedure based on sensitivity for multi-class problems
Pattern Recognition
Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A granular neural network: Performance analysis and application to re-granulation
International Journal of Approximate Reasoning
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Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Bayesian approach to a segmentation model based on the switching linear Gaussian ...