Feature selection is a preprocessing technique that identifies the key features of a given
problem. It has traditionally been applied in a wide range of problems that include biological …

This paper offers a comprehensive approach to feature selection in the scope of
classification problems, explaining the foundations, real application problems and the …

Background and objective With the acceleration of social rhythm and the increase of
pressure, there are various sleep problems among people. Sleep staging is an important …

Risk assessment is a crucial element in the life insurance business to classify the applicants.
Companies perform underwriting process to make decisions on applications and to price …

Feature selection is a preprocessing step in many application areas that are relevant to
expert and intelligent systems, such as data mining and machine learning. Feature selection …

A unified framework is proposed to select features by optimizing computationally feasible
approximations of high-dimensional conditional mutual information (CMI) between features …

The study of sleep stages and the associated signals have emerged as a very important
parameter to identify the neurological disorders and test of mental activities nowadays …

In this paper, we propose a novel multimodal user identification and verification scheme
combining two inter-linked biometric traits, ie, signature and brain signals …

With the pervasive generation of information from a wide range of sensors and devices,
there always exist a large number of input features in databases, thus complicating machine …

Sleep scoring is one of the primary tasks for the classification of sleep stages using
electroencephalogram (EEG) signals. It is one of the most important diagnostic methods in …