We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow
machine intelligence platform. This tool helps users understand complex machine learning …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

The development of computational approaches in systems biology has reached a state of
maturity that allows their transition to systems medicine. Despite this progress, intuitive …

For decades, researchers in information visualisation and graph drawing have focused on
developing techniques for the layout and display of very large and complex networks …

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

Using different methods for laying out a graph can lead to very different visual appearances,
with which the viewer perceives different information. Selecting a “good” layout method is …

Visualization researchers have been increasingly leveraging crowdsourcing approaches to
overcome a number of limitations of controlled laboratory experiments, including small …

Different layouts can characterize different aspects of the same graph. Finding a “good”
layout of a graph is thus an important task for graph visualization. In practice, users often …

Efficient layout of large-scale graphs remains a challenging problem: the force-directed and
dimensionality reduction-based methods suffer from high overhead for graph distance and …

Storyline visualization techniques have progressed significantly to generate illustrations of
complex stories automatically. However, the visual layouts of storylines are not enhanced …