MTGP: Combining Metamorphic Testing and Genetic Programming. - Dominik Sobania; Martin Briesch; Philipp Röchner; Franz Rothlauf (EuroGP, 2023)

On the Fidelity-Privacy Tradeoff of Synthetic Cancer Registry Data. - Philipp Röchner (MIE, 2024)

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers. - Philipp Röchner; Henrique O. Marques; Ricardo J. G. B. Campello; Arthur Zimek; Franz Rothlauf (SISAP, 2024)

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version). - Philipp Röchner; Henrique O. Marques; Ricardo J. G. B. Campello; Arthur Zimek; Franz Rothlauf (CoRR, 2024)

Using machine learning to link electronic health records in cancer registries: On the tradeoff between linkage quality and manual effort. - Philipp Röchner; Franz Rothlauf (Int. J. Medical Informatics, 2024)

Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures. - Philipp Röchner; Henrique O. Marques; Ricardo J. G. B. Campello; Arthur Zimek (Data Min. Knowl. Discov., 2024)

Evaluating robustly standardized explainable anomaly detection of implausible variables in cancer data. - Philipp Röchner; Franz Rothlauf (J. Am. Medical Informatics Assoc., 2025)

We Need to Rethink Benchmarking in Anomaly Detection. - Philipp Röchner; Simon Klüttermann; Franz Rothlauf; Daniel Schlör (CoRR, 2025)