In 2010, Fuhrmann et al. argued for enhancing modeler productivity by providing tooling
that, put simply, combines the best of textual and graphical worlds. They referred to this as …

Data in behavioral research is often quantified with event-logging software, generating large
data sets containing detailed information about subjects, recipients, and the duration of …

Graph drawing beyond planarity is a research area that has received an increasing attention
in the last twenty years, driven by the necessity to mitigate the visual complexity inherent in …

Visual representations are commonly used to explore, analyse, and communicate
information and knowledge in systems biology and beyond. Such visualisations not only …

Visualisations are widely used to present, assess, and convey data and understanding in
systems biology and other fields, and graphical representations of data and information …

A central promise of cross-domain fusion (CDF) is the provision of a “bigger picture” that
integrates different disciplines and may span very different levels of detail. We present a …

A classification scheme for Graph-Like Modeling Languages (GLML) is presented in this
paper. The novelty of this classifier lies in its application to a meta-model for GLML that …

Graph-like modeling languages (GLML) are deployed in various domains. In model-based
software engineering they are used directly or indirectly for the development of software. In …

Visualisations of metabolites and metabolic pathways have been used since the early years
of research in biology, and pathway maps have become very popular in biochemistry …

In the last two decades, the application of artificial neural networks has seen unprecedented
increase in adoption rate. Artificial neural networks gave rise to increasingly complex …