Effectively designed data visualizations allow viewers to use their powerful visual systems to
understand patterns in data across science, education, health, and public policy. But …

Dynamic graph visualization focuses on the challenge of representing the evolution of
relationships between entities in readable, scalable and effective diagrams. This work …

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design
provides a systematic, comprehensive framework for thinking about visualization in terms of …

The growing capability and accessibility of machine learning has led to its application to
many real-world domains and data about people. Despite the benefits algorithmic systems …

We present Marvis, a conceptual framework that combines mobile devices and head-
mounted Augmented Reality (AR) for visual data analysis. We propose novel concepts and …

In this work we propose the combination of large interactive displays with personal head-
mounted Augmented Reality (AR) for information visualization to facilitate data exploration …

Recurrent neural networks (RNNs) have been successfully applied to various natural
language processing (NLP) tasks and achieved better results than conventional methods …

High-quality visualization collections are beneficial for a variety of applications including
visualization reference and data-driven visualization design. The visualization community …

Supporting comparison is a common and diverse challenge in visualization. Such support is
difficult to design because solutions must address both the specifics of their scenario as well …

Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …