The visual analytics community has long aimed to understand users better...
Documents in the health domain are often annotated with semantic concept...
When people search for information about a new topic within large docume...
Recommendation algorithms have been leveraged in various ways within
vis...
The informational environment surrounding the Covid-19 pandemic has been...
As the COVID-19 pandemic continues to impact the world, data is being
ga...
Complex, high-dimensional data is used in a wide range of domains to exp...
Visual analytics systems enable highly interactive exploratory data anal...
Causality is crucial to understanding the mechanisms behind complex syst...
The collection and visual analysis of large-scale data from complex syst...
Event sequence data record series of discrete events in the time order o...
Anomaly detection is a common analytical task that aims to identify rare...
Patterns in temporal data can often be found across different scales, su...
The collection of large, complex datasets has become common across a wid...
Temporal event data are collected across a broad range of domains, and a...
Clinical decision support systems (CDSS) are widely used to assist with
...