Situated visualization is an emerging concept within visualization, in which data is visualized
in situ, where it is relevant to people. The concept has gained interest from multiple research …

We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …

While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

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

A much-needed introduction to the field of discrete-valued time series, with a focus on count-
data time series Time series analysis is an essential tool in a wide array of fields, including …

The considerable previous work characterizing visualization usage has focused on low-level
tasks or interactions and high-level tasks, leaving a gap between them that is not addressed …

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

After decades of digitization, large cultural heritage collections have emerged on the web,
which contain massive stocks of content from galleries, libraries, archives, and museums …

Deep Neural Networks (DNNs) have demonstrated state-of-the-art performance on a broad
range of tasks involving natural language, speech, image, and video processing, and are …

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