The Smart Grid is a modern power grid that relies on advanced technologies to provide
reliable and sustainable electricity. However, its integration with various communication …

Cybersecurity has become an increasingly critical concern in the digital age, as the growing
dependence on internet-based systems and the proliferation of Internet of Things (IoT) …

Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …

Temporal evolving set data are time-varying and growing ubiquitous in person re-
identification, parameter choice, and streaming data analysis. We construct a workflow to …

Latent vectors extracted by machine learning (ML) are widely used in data exploration (eg, t-
SNE) but suffer from a lack of interpretability. While previous studies employed disentangled …

Human-centered AI aims to bridge the gap between machine decision-making and human
understanding. However, even for classification tasks where deep neural networks have …

Dimensionality reduction techniques are widely used for visualizing high-dimensional data.
However, support for interpreting patterns of dimension reduction results in the context of the …

In various scientific and industrial domains, analyzing multivariate spatial data, ie, vectors
associated with spatial locations, is common practice. To analyze those datasets, analysts …

Projecting high-dimensional vectors into two dimensions for visualization, known as
embedding visualization, facilitates perceptual reasoning and interpretation. Comparison of …

In heterogeneous graphs (HGs), which offer richer network and semantic insights compared
to homogeneous graphs, the Metapath technique serves as an essential tool for data …