Number of items: **6**.

Ullmann, Theresa (2022): Evaluation of clustering results and novel cluster algorithms: a metascientific perspective. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Klau, Simon (2020): Addressing the challenges of uncertainty in regression models for high dimensional and heterogeneous data from observational studies. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Probst, Philipp (2019): Hyperparameters, tuning and meta-learning for random forest and other machine learning algorithms. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Hornung, Roman (2016): Preparation of high-dimensional biomedical data with a focus on prediction and error estimation. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Janitza, Silke (2016): Resampling approaches in biometrical applications: developments in random forests and in bootstrap-based procedures. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Bernau, Christoph Michael (2014): Wrapper algorithms and their performance assessment on high-dimensional molecular data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics