Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …

Deep Learning has implemented a wide range of applications and has become increasingly
popular in recent years. The goal of multimodal deep learning (MMDL) is to create models …

The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …

Emotional facial expressions can inform researchers about an individual's emotional state.
Recent technological advances open up new avenues to automatic Facial Expression …

Among mental health diseases, depression is one of the most severe, as it often leads to
suicide; due to this, it is important to identify and summarize existing evidence concerning …

Abstract The World Health Organization (WHO) has highlighted the need to greatly
accelerate the prevention of crime and harassment against women and children, thereby …

Identification of the emotional state of humans, especially kids', is a very complex activity.
Different types of emotions contribute to the behavior of kids. There are various methods to …

Background A growing amount of health research uses social media data. Those critical of
social media research often cite that it may be unrepresentative of the population; however …