It has become easy to obtain multivariate chemical data of high dimensions. However, it may
be expensive or time consuming to obtain a large number of samples or to acquire reference …

A novel ensemble-based feature selection method was developed which is designated as
ensemble partial least squares regression coeffientents (EPRC). It was composed of two …

The present study investigated the short-and long-term retest reliability of brain activity
measured with functional near-infrared spectroscopy (fNIRS) during verbal fluency, the most …

We read with great interest the manuscript from Pinti et al.(2019), which aimed to shed a
light on one of the main open topics in neuroimaging: the definition of reproducible and …

In the analysis of functional Near-Infrared Spectroscopy (fNIRS) signals from real-world
scenarios, artifact rejection is essential. However, currently there exists no gold-standard …

Introduction Interpersonal neural synchronization (INS) demands a greater understanding of
a brain's influence on others. Therefore, brain synchronization is an even more complex …

Functional near-infrared spectroscopy (fNIRS) has been proven reliable for investigation of
low-level visual processing in both infants and adults. Similar investigation of fundamental …

Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique for assessing
human brain activity by noninvasively measuring the fluctuation of cerebral oxygenated-and …

Functional near-infrared spectroscopy (fNIRS) is a non-invasive method to measure brain
activities using the changes of optical absorption in the brain through the intact skull. fNIRS …

The role of practice is crucial in the skill acquisition process and for assessments of learning.
In this study, we used a portable neuroimaging technique, functional near infrared (fNIR) …