FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. - Kai Klede; Leo Schwinn; Dario Zanca; Björn M. Eskofier (AAAI, 2023)

Die Rätselrevolution: Automated German Crossword Solving. - Andrea Zugarini; Thomas Rothenbacher; Kai Klede; Marco Ernandes; Bjoern M. Eskofier; Dario Zanca (CLiC-it, 2023)

p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. - Kai Klede; Thomas Altstidl; Dario Zanca; Bjoern M. Eskofier (NeurIPS, 2023)

Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data. - Bernhard Schrupp; Kai Klede; René Raab; Björn M. Eskofier (ICCS (4), 2024)

ReClean: Reinforcement Learning for Automated Data Cleaning in ML Pipelines. - Mohamed Abdelaal 001; Anil Bora Yayak; Kai Klede; Harald Schöning (ICDEW, 2024)

The Impact of Random Models on Standardized Clustering Similarity. - Kai Klede; Thomas R. Altstidl; Dario Zanca; Björn M. Eskofier (IEEE Access, 2024)

Simulated German Inpatient Claims Data. - Bernhard Schrupp; Kai Klede; René Raab; Björn M. Eskofier (Zenodo, 2024)

Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. - Philipp Schlieper; Hermann Luft; Kai Klede; Christoph Strohmeyer; Björn M. Eskofier; Dario Zanca (ACM Trans. Knowl. Discov. Data, 2024)

Estimating Group Means Under Local Differential Privacy. - René Raab; Arijana Bohr; Kai Klede; Benjamin Gmeiner; Bjoern M. Eskofier (Proc. Priv. Enhancing Technol., 2025)