Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

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 …

A time-frequency diagram is a commonly used visualization for observing the time-frequency
distribution of radio signals and analyzing their time-varying patterns of communication …

One major cause of performance degradation in predictive models is that the test samples
are not well covered by the training data. Such not well-represented samples are called OoD …

Most real‐world networks are both dynamic and multivariate in nature, meaning that the
network is associated with various attributes and both the network structure and attributes …

Graph visualization is an important field in information visualization that is centered on the
graphical display of graph-structured data. Yet real world data is rarely just graph-structured …

With deep learning (DL) outperforming conventional methods for different tasks, much effort
has been devoted to utilizing DL in various domains. Researchers and developers in the …

Composite visualization is a popular design strategy that represents complex datasets by
integrating multiple visualizations in a meaningful and aesthetic layout, such as …

Online news, microblogs and other media documents all contain valuable insight regarding
events and responses to events. Underlying these documents is the concept of framing, a …

With the pervasive use of information technologies, the increasing availability of data
provides new opportunities for understanding user behaviors. Unearthing anomalies in user …