Counterfactual explanation methods provide information on how feature values of individual
observations must be changed to obtain a desired prediction. Despite the increasing amount …

An experimental science relies on solid and replicable results. The last few years have seen
a rich discussion on the reliability and validity of psychological science and whether our …

Gaussian processes (GPs) are well-known tools for modeling dependent data with
applications in spatial statistics, time series analysis, or econometrics. In this article, we …

The configuration of algorithms is a laborious and difficult process. Thus, it is advisable to
automate this task by using appropriate automatic configuration methods. The irace method …

In this paper, we present a new algorithm for the detection of distorted and overlapping
circlelike objects in noisy grayscale images. Its main step is an edge detection using rotated …

Living insect robots are another approach to developing micro robots. It is equipped with an
electronic system on a living insect body to achieve motion control. In this paper, we present …

The present thesis consists of three studies covering different methodological decisions that
have to be made when conducting exploratory factor analyses. Study 1 is a review on the …

We address the problem of hyperparameter optimization for machine learning algorithms.
This is a difficult task for two main reasons: On one hand, the function modelled by the …

Abstract Machine learning is being increasingly used in every realm of life, from scenarios
such as detecting patient conditions in hospitals to the technology used in self-driving cars …