Preterm birth is associated with increased risks of neurological and motor impairments such
as cerebral palsy. The risks are highest in those born at the lowest gestations. Early …

Feature selection is an important task in data mining and machine learning to reduce the
dimensionality of the data and increase the performance of an algorithm, such as a …

Feature Selection (FS) is an important preprocessing step that is involved in machine
learning and data mining tasks for preparing data (especially high-dimensional data) by …

Data are naturally collected in their raw state and must undergo a series of preprocessing
steps to obtain data in their input state for Artificial Intelligence (AI) and other applications …

We propose a two-stage surrogate-assisted evolutionary approach to address the
computational issues arising from using Genetic Algorithm (GA) for feature selection in a …

The main objective of feature selection process consists of investigating the optimal feature
subset leading to better classification quality while spending less computational cost …

Feature subset selection (FSS) has received a great deal of attention in statistics, machine
learning, and data mining. Real world data analyzed by data mining algorithms can involve …

Feature selection is an important research area for big data analysis. In recent years, various
feature selection approaches have been developed, which can be divided into four …

Breast cancer is a disease that affects women in different countries around the world. The
real cause of breast cancer is particularly challenging to determine, and early detection of …

This paper investigates feature subset selection for dimensionality reduction in machine
learning. We provide a brief overview of the feature subset selection techniques that are …