Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

With the development of production technology and social needs, sectors of manufacturing
are constantly improving. The use of sensors and computers has made it increasingly …

Most tabular data visualization techniques focus on overviews, yet many practical analysis
tasks are concerned with investigating individual items of interest. At the same time, relating …

Big data and machine learning tools have jointly empowered humans in making data-driven
decisions. However, many of them capture empirical associations that might be spurious …

This paper presents a smart sensor dashboard for a digital twin of a smart manufacturing
workshop. We described the development of the digital twin followed by three user studies …

We present an approach that shows all relevant subspaces of categorical data condensed in
a single picture. We model the categorical values of the attributes as co-occurrences with …

In radiation therapy (RT) for prostate cancer, changes in patient anatomy during treatment
might lead to inadequate tumor coverage and higher irradiation of healthy tissues in the …

Detecting illegal shipments in the global timber trade poses a massive challenge to
enforcement agencies. The massive volume and complexity of timber shipments and …

To stop the spread of the coronavirus disease (COVID-19), major restrictions to reduce
social contacts have been introduced, which affect virtually all everyday behaviors including …

Subspace analysis of high-dimensional data is extremely challenging due to the huge
exploration space. We propose Subspace-Map, a novel approach with a map metaphor for …