Introduction: Mental arithmetic analysis based on Electroencephalogram (EEG) signal for monitoring the state of the user’s brain functioning can be helpful for understanding some psychological disorders such as attention deficit hyperactivity disorder, autism spectrum disorder, or dyscalculia where the difficulty in learning or understanding the arithmetic exists. Most mental arithmetic recogni...

In this paper several feature selection methods are explored. These are analysed to see what effect they have on the accuracy of a simple svm. Several filter and wrapper techniques are investigated. Hybrid methods which use combinations of filter and wrapper techniques are also investigated. Many filter methods are found to give no increase in accuracy for the classifier. The most effective met...

Abstract Sensitivity analysis is a popular feature selection approach employed to identify the important features in dataset. In sensitivity analysis, each input perturbed one-at-a-time and response of machine learning model examined determine feature's rank. Note that existing perturbation techniques may lead inaccurate ranking due their parameters. This study proposes novel involves using com...