Develo** effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

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 …

The last decade has witnessed many visual analytics (VA) systems that make successful
applications to wide-ranging domains like urban analytics and explainable AI. However …

As training high-performance object detectors requires expensive bounding box
annotations, recent methods resort to free-available image captions. However, detectors …

Reference-based cell-type annotation can significantly reduce time and effort in single-cell
analysis by transferring labels from a previously-annotated dataset to a new dataset …

Label quality issues, such as noisy labels and imbalanced class distributions, have negative
effects on model performance. Automatic reweighting methods identify problematic samples …

Financial cluster analysis allows investors to discover investment alternatives and avoid
undertaking excessive risks. However, this analytical task faces substantial challenges …

In this paper, we introduce a general concept for the analysis of temporal and multivariate
data and the system LFPeers that applies this concept to temporal similarity search and …

In the applications of machine learning, it is difficult to ensure the quality of training data due
to the various sources of training data and the inexperience of some annotators. By tightly …

We present ManuKnowVis, the result of a design study, in which we contextualize data from
multiple knowledge repositories of a manufacturing process for battery modules used in …