Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …

Generative text-to-image models have gained great popularity among the public for their
powerful capability to generate high-quality images based on natural language prompts …

Multimodal sentiment analysis aims to recognize people's attitudes from multiple
communication channels such as verbal content (ie, text), voice, and facial expressions. It …

Visualizing data in sports videos is gaining traction in sports analytics, given its ability to
communicate insights and explicate player strategies engagingly. However, augmenting …

Online exams have become widely used to evaluate students' performance in mastering
knowledge in recent years, especially during the pandemic of COVID-19. However, it is …

Music videos contain a great deal of visual and acoustic information. Each information
source within a music video influences the emotions conveyed through the audio and video …

Analyzing students' emotions from classroom videos can help both teachers and parents
quickly know the engagement of students in class. The availability of high-definition cameras …

Event sequence data is increasingly available. Many business operations are supported by
information systems that record transactions, events, state changes, message exchanges …

In recent years, more and more researchers have reflected on the undervaluation of emotion
in data visualization and highlighted the importance of considering human emotion in …