Telecommunications technology has evolved rapidly, creating opportunities to diversify the
communication culture through AI mediation. We anticipate that people will interchangeably …

This paper presents a Bayesian model, called the Bayesian Bradley Terry (BBT) model, for
comparing multiple algorithms on multiple data sets based on any metric. The model is an …

Frequentist statistical methods, such as hypothesis testing, are standard practices in studies
that provide benchmark comparisons. Unfortunately, these methods have often been …

The consumer rejection threshold (RjT) method was applied to determine the total microbial
numbers (TMNs) where consumers find that the quality of whole fresh chilled pasteurised …

This study analyses behavioral psychological facilitators and barriers to using different
carsharing business models. It identifies the most preferable carsharing business models for …

Over the last few years, there has been a growing interest in the prediction and modelling of
competitive sports outcomes, with particular emphasis placed on this area by the Bayesian …

Over the last few years, there has been a growing interest in the prediction and modelling of
competitive sports outcomes, with particular emphasis placed on this area by the Bayesian …

This chapter addresses the attribute‐specific discrimination and highlights alternative
analysis methods for directional discrimination tasks that can be used in multisample …

Context: Supervised learning is the most common machine learning paradigm and requires
labeled data. Because much data in the industry is unlabeled, data labeling is an essential …

Objetivo: este artigo apresenta a legislação pertinente a Declaração e discute a ausência
de arquivos de mulheres declarados como de interesse público e social no Brasil …