Feature selection is an important preprocessing step for many high-dimensional regression
problems. One of the most common strategies is to select a relevant feature subset based on …

In clinical medicine, multidimensional time series data can be used to find the rules of
disease progress by data mining technology, such as classification and prediction. However …

Mutation analysis is a powerful and unbiased technique to assess the quality of input values
and test oracles. However, its application domain is still limited due to the fact that it is a time …

Spectral data often have a large number of highly-correlated features, making feature
selection both necessary and uneasy. A methodology combining hierarchical constrained …