We investigate the ability of individuals to visually validate statistic...
This study presents insights from interviews with nineteen Knowledge Gra...
Visualization researchers and visualization professionals seek appropria...
The VAST Challenges have been shown to be an effective tool in visual
an...
Anomaly detection remains an open challenge in many application areas. W...
Presenting the complexities of a model's performance is a communication
...
Designing suitable tasks for visualization evaluation remains challengin...
A hallmark of visual analytics is its ability to support users in transl...
Projection techniques are often used to visualize high-dimensional data,...
Animated and interactive data visualizations dynamically change the data...
Projection algorithms such as t-SNE or UMAP are useful for the visualiza...
Interaction enables users to navigate large amounts of data effectively,...
Most visual analytics systems assume that all foraging for data happens
...
Static scatterplots often suffer from the overdraw problem on big datase...
Multiple-view visualization (MV) is a layout design technique often empl...
Deep learning models require the configuration of many layers and parame...
We present RNNbow, an interactive tool for visualizing the gradient flow...
Modern interactive visualizations are akin to distributed systems, where...
We live in an era of big data and rich data visualization. As data sets
...
Scalable interactive visual data exploration is crucial in many domains ...
When inspecting information visualizations under time critical settings,...
A recent advancement in the machine learning community is the developmen...
Visual exploration of large multidimensional datasets has seen tremendou...
Asynchronous interfaces allow users to concurrently issue requests while...
"How common is interactive visualization on the web?" "What is the most
...