Automatic emotion recognition plays a crucial role in various fields such as healthcare,
human-computer interaction (HCI) and security and defense. While most of previous studies …

Human annotations are of integral value in human behavior studies and in particular for the
generation of ground truth for behavior prediction using various machine learning methods …

Video-based learning has become a popular, scalable, and effective approach for students
to learn new skills. Many of the challenges for video-based learning can be addressed with …

Ratings from multiple human annotators are often pooled in applications where the ground
truth is hidden. Examples include annotating perceived emotions and assessing quality …

An essential issue when training and validating computer vision systems for affect analysis
is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this …

Human annotations serve an important role in computational models where the target
constructs under study are hidden, such as dimensions of affect. This is especially relevant …

Speech signal processing is being increasingly explored in health domains given both its
centrality as a behavioral cue and the promise of robust, automated analysis of data at scale …

With the fast growing of artificial intelligence (AI), more and more applications require
querying uncertain data, especially from social media and crowd sourcing platform. In …

Strategy consulting services are a high-end knowledge-intensive business. Consulting
service providers (CSPs) regard them as vital business because they can lead to additional …

Speech emotion recognition (SER) plays an important role in a growing world of automation
and artificial intelligence. Robust and accurate SER systems are crucial for enhancing …