Similarity detection seeks to identify similar, but distinct items over multivariate datasets.
Often, similarity cannot be defined computationally, leading to a need for visual analysis …

Longitudinal observational and randomized controlled trials (RCT) are widely applied in
biomedical behavioral studies and increasingly implemented in smart health systems. These …

针对可视化设计中调色板选择所涉及的大量视觉比较操作, 提出一种符合感知的调色板色彩排序
方法以提升色彩设计效率. 该方法首先建立了由全局有序性以及视觉连贯性约束因子组成的色彩 …

Graph Theory is a very complex and difficult mathematical problem, with Graph Coloring as
one of its most studied problem. Graph Coloring itself is an implementation of Graph Theory …

Predicting graduation destination can help students determine their learning goals in
advance, help faculty optimize curriculum and provide career guidance for students. In this …

Real-world simulations of physical effects generate complex data with extremely uneven
numerical distributions and a large amount of background noise. Linear color mapping …

Data visualizations allow analysts to quickly understand data trends, outliers, and patterns.
However, designing the" best" visualizations for a given dataset is complicated. Multiple …

Dark mode is an increasingly common design option in which a dark screen background is
used with light-coloured text and graphic elements. This option is, therefore, also relevant for …

Abstract The impacts of Global Environmental Change (GEC) have proven a threat to the
survival and functioning of ecological and social systems, underscoring the urgency to …

Abstract Design plays a key role in the interpretability of complex visualizations. Many
applied domains utilize large quantities of data to make predictions, ranging from maps …