This article takes a problem-oriented perspective and presents a comprehensive review of
transfer-learning methods, both shallow and deep, for cross-dataset visual recognition …

Background Patients often seek guidance from the aesthetic practitioners regarding
treatments to enhance their 'beauty'. Is there a science behind the art of assessment and if …

Facial beauty prediction (FBP) is a significant visual recognition problem to make
assessment of facial attractiveness that is consistent to human perception. To tackle this …

In this paper, a novel face dataset with attractiveness ratings, namely the SCUT-FBP dataset,
is developed for automatic facial beauty perception. This dataset provides a benchmark to …

Many researchers have introduced tag information to recommender systems to improve the
performance of traditional recommendation techniques. However, user-defined tags will …

An accurate heating load prediction algorithm can play an important role in smart district
heating systems (SDHS), which is helpful for realizing on-demand heating and fine control …

In this article, we examine the state-of-the-art and current applications of artificial intelligence
(AI), specifically for human resources (HR). We study whether, due to the experimental state …

A study on one of the most important issues in a human action recognition task, ie how to
create proper data representations with a high‐level abstraction from large dimensional …

A majority of gastrointestinal infectious diseases are caused by food contamination, and
prediction of morbidity can be very useful for etiological factor controlling and medical …

Two key challenges lie in the facial attractiveness computation research: the lack of
discriminative face representations, and the scarcity of sufficient and complete training data …