Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing data (especially high-dimensional data) for various data-mining and …

The paper is devoted to the problem of constructing a predictive model in the high-
dimensional feature space. The space is redundant, there is multicollinearity in the design …

Driving a safety critical task that requires a high level of attention and workload from the
driver. Despite this, people often perform secondary tasks such as eating or using a mobile …

In line with technological developments, there is almost no limit to collect data of high
dimension in various fields including bioinformatics. In most cases, these high dimensional …

Change-point detection is an indispensable tool for a wide variety of applications which has
been extensively studied in the literature over the years. However, the development of …