Andrea Bommert
Andrea Bommert
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Benchmark for filter methods for feature selection in high-dimensional classification data
A Bommert, X Sun, B Bischl, J Rahnenführer, M Lang
Computational Statistics & Data Analysis 143, 106839, 2020
Benchmark of filter methods for feature selection in high-dimensional gene expression survival data
A Bommert, T Welchowski, M Schmid, J Rahnenführer
Briefings in Bioinformatics 23 (1), bbab354, 2022
A multicriteria approach to find predictive and sparse models with stable feature selection for high-dimensional data
A Bommert, J Rahnenführer, M Lang
Computational and mathematical methods in medicine 2017, 2017
High dimensional restrictive federated model selection with multi-objective bayesian optimization over shifted distributions
X Sun, A Bommert, F Pfisterer, J Rähenfürher, M Lang, B Bischl
Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020
Integration of Feature Selection Stability in Model Fitting
AM Bommert
TU Dortmund University, 2021
Adjusted measures for feature selection stability for data sets with similar features
A Bommert, J Rahnenführer
Machine Learning, Optimization, and Data Science: 6th International …, 2020
stabm: Stability Measures for Feature Selection
A Bommert, M Lang
Journal of Open Source Software 6 (59), 3010, 2021
A Review and Taxonomy of Methods for Quantifying Dataset Similarity
M Stolte, A Bommert, J Rahnenführer
arXiv preprint arXiv:2312.04078, 2023
When is Plasmode simulation superior to parametric simulation when estimating the MSE of the least squares estimator in linear regression?
M Stolte, N Schreck, A Slynko, M Saadati, A Benner, J Rahnenführer, ...
arXiv preprint arXiv:2312.04077, 2023
Organizational, Sociological and Procedural Uncertainties in Statistical and Machine Learning: A Systematic Literature Review
N Große, M Wilkesmann, A Bommert
ESSN: 2701-6277, 527-537, 2023
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features
A Bommert, J Rahnenführer, M Lang
International Conference on Machine Learning, Optimization, and Data Science …, 2021
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