As we seek to deploy machine learning models beyond virtual and controlled domains, it is
critical to analyze not only the accuracy or the fact that it works most of the time, but if such a …

Online advertising, as a vast market, has gained significant attention in various platforms
ranging from search engines, third-party websites, social media, and mobile apps. The …

Privacy threats in a social media-enabled application (app) can originate from either the
institution or other app users. Although privacy in social media is well studied, the role of …

Deep neural networks have been able to outperform humans in some cases like image
recognition and image classification. However, with the emergence of various novel …

People all over the world were under severe stress and were concerned about their health
after a devastating pandemic struck the world in the form of a novel coronavirus disease …

Aiming at the existing problems of metric-based methods, there are problems such as
inadequate feature extraction, inaccurate class feature representation, and single similarity …

The number of Internet-of-Things (IoT) devices actively communicating across the Internet is
continually increasing, as these devices are deployed across a variety of sectors, constantly …

A great number of computer vision publications have focused on distinguishing between
human action recognition and classification rather than the intensity of actions performed …

Recurrent neural networks have received vast amount of attention in time series prediction
due to their flexibility in capturing dependencies on various scales. However, as in most of …

Clouds have been adopted widely by many organizations for their supports of flexible
resource demands and low cost, which is normally achieved through sharing the underlying …