Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023 | 433 | 2023 |
Predicting personality from patterns of behavior collected with smartphones C Stachl, Q Au, R Schoedel, SD Gosling, GM Harari, D Buschek, ... Proceedings of the National Academy of Sciences 117 (30), 17680-17687, 2020 | 343* | 2020 |
Validation of cluster analysis results on validation data: A systematic framework T Ullmann, C Hennig, AL Boulesteix Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (3 …, 2022 | 75 | 2022 |
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study T Ullmann, A Beer, M Hünemörder, T Seidl, AL Boulesteix Advances in Data Analysis and Classification 17 (1), 211-238, 2023 | 12 | 2023 |
Explaining the optimistic performance evaluation of newly proposed methods: A cross‐design validation experiment C Nießl, S Hoffmann, T Ullmann, AL Boulesteix Biometrical Journal 66 (1), 2200238, 2024 | 9 | 2024 |
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering T Ullmann, S Peschel, P Finger, CL Müller, AL Boulesteix PLOS Computational Biology 19 (1), e1010820, 2023 | 9 | 2023 |
KD Diagnosis Does Not Increase Cardiovascular Risk in Children According to Dynamic Intima–Media Roughness Measurements M König, T Ullmann, B Pastor-Villaescusa, R Dalla-Pozza, S Bohlig, ... Journal of Clinical Medicine 11 (5), 1177, 2022 | 3 | 2022 |
Evaluating variable selection methods for multivariable regression models: A simulation study protocol T Ullmann, G Heinze, L Hafermann, C Schilhart-Wallisch, D Dunkler, ... PloS one 19 (8), e0308543, 2024 | | 2024 |