Digital methods are increasingly applied to store, structure and analyse vast amounts of
musical data. In this context, visualization plays a crucial role, as it assists musicologists and …

Sports game data is becoming increasingly complex, often consisting of multivariate data
such as player performance stats, historical team records, and athletes' positional tracking …

To understand how the immune system works, one needs to have a clear picture of its
cellular compositon and the cells' corresponding properties and functionality. Mass …

It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …

Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …

Visualizations such as bar charts help users reason about data, but are mostly screen-
based, rarely physical, and almost never physical and dynamic. This paper investigates the …

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 …

To complement the currently existing definitions and conceptual frameworks of visual
analytics, which focus mainly on activities performed by analysts and types of techniques …

Genomic data visualization is essential for interpretation and hypothesis generation as well
as a valuable aid in communicating discoveries. Visual tools bridge the gap between …

In machine learning (ML), ensemble methods-such as bagging, boosting, and stacking-are
widely-established approaches that regularly achieve top-notch predictive performance …