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 …

Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

Visual analytics enables us to analyze huge information spaces in order to support complex
decision making and data exploration. Humans play a central role in generating knowledge …

Automated decision support can accelerate tedious tasks as users can focus their attention
where it is needed most. However, a key concern is whether users overly trust or cede …

We have created and made available to all a dataset with information about every paper that
has appeared at the IEEE Visualization (VIS) set of conferences: InfoVis, SciVis, VAST, and …

AI systems can fail to learn important behaviors, leading to real-world issues like safety
concerns and biases. Discovering these systematic failures often requires significant …

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 …

It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …

Visualization of sentiments and opinions extracted from or annotated in texts has become a
prominent topic of research over the last decade. From basic pie and bar charts used to …

For an investigative journalist, a large collection of documents obtained from a Freedom of
Information Act request or a leak is both a blessing and a curse: such material may contain …