Validation of cluster analysis results on validation data: A systematic framework. - Theresa Ullmann; Christian Hennig; Anne-Laure Boulesteix (WIREs Data Mining Knowl. Discov., 2022)

Evaluation of clustering results and novel cluster algorithms: a metascientific perspective. - Theresa Ullmann (2022)

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. - Bernd Bischl; Martin Binder; Michel Lang; Tobias Pielok; Jakob Richter; Stefan Coors; Janek Thomas; Theresa Ullmann; Marc Becker; Anne-Laure Boulesteix; Difan Deng; Marius Lindauer (WIREs Data. Mining. Knowl. Discov., 2023)

Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering. - Theresa Ullmann; Stefanie Peschel; Philipp F. M. Baumann; Christian L. Müller; Anne-Laure Boulesteix (PLoS Comput. Biol., 2023)

Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study. - Theresa Ullmann; Anna Beer 001; Maximilian Hünemörder; Thomas Seidl 001; Anne-Laure Boulesteix (Adv. Data Anal. Classif., 2023)

Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications. - Christina Sauer; Anne-Laure Boulesteix; Luzia Hanßum; Farina Hodiamont; Claudia Bausewein; Theresa Ullmann (CoRR, 2024)