Thumbnails for Data Stories: A Survey of Current Practices
When people browse online news, small thumbnail images accompanying links to articles attract their attention and help them to decide which articles to read. As an increasing …
When people browse online news, small thumbnail images accompanying links to articles attract their attention and help them to decide which articles to read. As an increasing …
Attention networks, a deep neural network architecture inspired by humans' attention mechanism, have seen significant success in image captioning, machine translation, and many …
The visual exploration of large data spaces often requires zooming and panning operations to obtain details. However, drilling down to see details results in the loss of contextual …
Recently, deep learning has gained exceptional popularity due to its outstanding performances in many machine learning and artificial intelligence applications. Among various deep …
The visual exploration of large data spaces often requires zooming and panning operations to obtain details. However, drilling down to see details results in the loss of contextual …
Exploring event sequences in big data is challenging. Though many mining algorithms have been developed to derive the most frequently occurring and the most meaningful sequential …
As visualizations are increasingly used as a storytelling medium for the general public, it becomes important to help people learn how to understand visualizations. Prior studies …
In this paper we introduce a novel visual analytics system, Spherical Similarity Explorer (SSE) that automates the data processing process and provides interactive visualizations …
Despite recent improvements in various computational approaches such as machine learning, natural language processing, and computational linguistics, making a computer understand …
In this paper, we introduce an off-screen visualization technique called Ambient Grids that provides overview and details by preserving context in color grids surrounding the main …