Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …

The parallel coordinates technique is widely used for the analysis of multivariate data.
During recent decades significant research efforts have been devoted to exploring the …

In meteorology, cluster analysis is frequently used to determine representative trends in
ensemble weather predictions in a selected spatio-temporal region, eg, to reduce a set of …

Declarative grammar is becoming an increasingly important technique for understanding
visualization design spaces. The GoTreeScape system presented in the paper allows users …

Background Though cluster analysis has become a routine analytic task for bioinformatics
research, it is still arduous for researchers to assess the quality of a clustering result. To …

Abstract Design problems in engineering typically involve a large solution space and
several potentially conflicting criteria. Selecting a compromise solution is often supported by …

We present a new visual analysis approach to support the comparative exploration of 2D
vector-valued ensemble fields. Our approach enables the user to quickly identify the most …

In Chinese archaeological research, analyzing the evolution of motifs in ancient pottery is
crucial for studying the spread and growth of cultures across various eras and regions …

State-of-the-art lighting design is based on physically accurate lighting simulations of scenes
such as offices. The simulation results support lighting designers in the creation of lighting …

Computational models, such as simulations, are central to a wide range of fields in science
and industry. Those models take input parameters and produce some output. To fully exploit …