Modern instruments generate BIG DATA that require information extraction before they can
be used. A hybrid modelling framework for that is presented and illustrated. Its purpose is to …

Aviation jet fuels contain over a thousand different hydrocarbons, making the prediction of
their properties from chemical composition difficult. The density of a jet fuel at 15° C is …

The editors of J. Chemometrics have been kind enough to invite me to outline some
directions, which I think young chemometricians could find interesting for the future. This …

The increasing complexity of mathematical models of complex systems like living cells has
created a need for methods to reduce computational demand, maintain overview of the …

A novel method and software system for rational handling of time series of multi-channel
measurements is presented. This quantitative learning tool, the On-The-Fly Processing …

Key points To facilitate translation of data from animal models into clinical applications, it is
important to analyse and quantify the differences and relevance of specific physiological …

In computational neuroscience, hypotheses are often formulated as bottom-up mechanistic
models of the systems in question, consisting of differential equations that can be …

A web-based simulator for the electrical conditions in submerged arc furnaces is presented.
The front end of the simulator is based on Plotly's Dash, an open-source library for creating …

This study uses a metamodelling approach to compare two different sampling approaches
when applying the Random Forest algorithm. In the sampling, normal sampling, and …

The primary goal of this thesis is to model the heart function. This thesis investigates how
data-driven modelling might help with this. Mechanistic models, which are theory-driven and …