This paper provides an overview of uncertainty visualization in general, along with specific
examples of applications in bioinformatics. Starting from a processing and interaction …

In many applications, visual analytics (VA) has developed into a standard tool to ease data
access and knowledge generation. VA describes a holistic cycle transforming data into …

Medical imaging (image acquisition, image transformation, and image visualization) is a
standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students …

Currently, growing data sources and long-running algorithms impede user attention and
interaction with visual analytics applications. Progressive visualization (PV) and visual …

Understanding and communicating data uncertainty is crucial for making informed decisions
in sectors like finance and healthcare. Previous work has explored how to express …

We present an extension of multidimensional scaling (MDS) to uncertain data, facilitating
uncertainty visualization of multidimensional data. Our approach uses local projection …

Recent studies have shown that users of visual analytics tools can have difficulty
distinguishing robust findings in the data from statistical noise, but the true extent of this …

Visualization, as a vibrant field for researchers, practitioners, and higher educational
institutions, is growing and evolving very rapidly. Tremendous progress has been made …

User confidence plays an important role in guided visual data analysis scenarios, especially
when uncertainty is involved in the analytical process. However, measuring confidence in …

Dashboards remain ubiquitous tools for analyzing data and disseminating the findings.
Understanding the range of dashboard designs, from simple to complex, can support …