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 …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

Sets comprise a generic data model that has been used in a variety of data analysis
problems. Such problems involve analysing and visualizing set relations between multiple …

The increasingly large number of available writings describing technical and scientific
progress, calls for advanced analytic tools for their efficient analysis. This is true for many …

Topic modeling algorithms are widely used to analyze the thematic composition of text
corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a …

Effectively exploring and browsing document collections is a fundamental problem in
visualization. Traditionally, document visualization is based on a data model that represents …

Learning and gaining knowledge of Roman history is an area of interest for students and
citizens at large. This is an example of a subject with great sweep (with many interrelated …

This paper presents a visual analytics approach to analyzing a full picture of relevant topics
discussed in multiple sources, such as news, blogs, or micro-blogs. The full picture consists …

Revealing the evolution of science and the intersections among its sub-fields is extremely
important to understand the characteristics of disciplines, discover new topics, and predict …

Background While there is high-quality online health information, a lot of recent work has
unfortunately highlighted significant issues with the health content on social media platforms …