Applying a Cut-Based Data Reduction Rule for Weighted Cluster Editing in Polynomial Time. - Hjalmar Schulz; André Nichterlein; Rolf Niedermeier; Christopher Weyand (IPEC, 2022)

EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods. - Benedict Clark; Rick Wilming; Artur Dox; Paul Eschenbach; Sami Hached; Daniel Jin Wodke; Michias Taye Zewdie; Uladzislau Bruila; Marta Oliveira; Hjalmar Schulz; Luca Matteo Cornils; Danny Panknin; et al. (CoRR, 2024)

GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations. - Rick Wilming; Artur Dox; Hjalmar Schulz; Marta Oliveira; Benedict Clark; Stefan Haufe (CoRR, 2024)