This paper provides a comprehensive review of the literature concerning the utilization of
Natural Language Processing (NLP) techniques, with a particular focus on transformer …

Aging is the inevitable biological process that results in a progressive structural and
functional decline associated with alterations in the resting/task-related brain activity …

A general theory for computing information transfers in nonlinear stochastic systems driven
by deterministic forcings and additive and/or multiplicative noises, is presented, satisfying …

The purpose of this study is to provide an efficient method for the selection of input–output
indicators in the data envelopment analysis (DEA) approach, in order to improve the …

In this research work, a total of 45 different estimators of the Shannon differential entropy
were reviewed. The estimators were mainly based on three classes, namely: window size …

The explosive growth of information technology has encouraged organizations to use new
technologies in all areas. These changes are also visible in the banking industry. In this …

Entropy estimation is a fundamental problem in information theory that has applications in
various fields, including physics, biology, and computer science. Estimating the entropy of …

Emotion recognition based on electroencephalography (EEG) has attracted high interest in
fields such as health care, user experience evaluation, and human–computer interaction …

Background: Identifying the state-related “neural correlates of consciousness” for
anesthetics-induced unconsciousness is challenging. Spatiotemporal complexity is a …

Abstract We revisit the Bayesian Context Trees (BCT) modelling framework for discrete time
series, which was recently found to be very effective in numerous tasks including model …