MetaQuRe - code and data for rethinking and performing AutoML and meta-learning in a resource-aware way

Advanced choice modeling with multidimensional utility representations.

Scoring Lists – a probabilistic & incremental extension to Scoring Systems

Specificy, execute and monitor performances of active learning pipelines.

Shapley Interactions and Shapley Values for Machine Learning

A collection of Java libraries for basic AI algorithms (JAICore) and automated software composition, in particular AutoML (softwareconfiguration)

Fast and incremental explanations for online machine learning models. Works best with the river framework.

An experiment in Dynamic Difficulty Adjustment using Gaussian Processes and the GVGAI framework

Allows to generate a large number of (single-label head) rules for multi-label classification