40 citations · 63 across the 3 of their papers we have counts for
4 papers
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data
Maximilian Kleissl, Lukas Drews, Benedict B. Heyder +5
Training sophisticated machine learning (ML) models requires large datasets that are difficult or expensive to collect for many applications. If prior knowledge about system dynami…
LazyFox: Fast and parallelized overlapping community detection in large graphs
Tim Garrels, Athar Khodabakhsh, Bernhard Y. Renard +1
The detection of communities in graph datasets provides insight about a graph's underlying structure and is an important tool for various domains such as social sciences, marketing…
HiClass: a Python library for local hierarchical classification compatible with scikit-learn
Fábio M. Miranda, Niklas Köhnecke, Bernhard Y. Renard
HiClass is an open-source Python library for local hierarchical classification entirely compatible with scikit-learn. It contains implementations of the most common design patterns…
An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action
Hartwig Anzt, Felix Bach, Stephan Druskat +40
Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes…