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Computational and Mathematical Methods in Medicine|August 24, 2017
Probing for Sparse and Fast Variable Selection with Model-Based BoostingJanek Thomas, Tobias Hepp, Andreas Mayr, et al.Biometrics|December 18, 2015
The residual-based predictiveness curve: A visual tool to assess the performance of prediction modelsGiuseppe Casalicchio, Bernd Bischl, Anne-Laure Boulesteix, et al.Journal of Medical Imaging (Bellingham, Wash.)|October 11, 2023
Bayesian uncertainty estimation for detection of long-tailed and unseen conditions in medical imagesMina Rezaei, Janne J Näppi, Bernd Bischl, et al.Computational and Mathematical Methods in Medicine|August 4, 2018
Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting"Janek Thomas, Tobias Hepp, Andreas Mayr, et al.Chaos (Woodbury, N.Y.)|July 9, 2021
Symplectic Gaussian process regression of maps in Hamiltonian systemsKatharina Rath, Christopher G Albert, Bernd Bischl, et al.Bioinformatics (Oxford, England)|February 1, 2021
mlr3proba: an R package for machine learning in survival analysisRaphael Sonabend, Franz J Király, Andreas Bender, et al.Big Data|January 3, 2022
Structured Verification of Machine Learning Models in Industrial SettingsSai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, et al.BMC Medical Research Methodology|August 29, 2024
Distributed non-disclosive validation of predictive models by a modified ROC-GLMDaniel Schalk, Raphael Rehms, Verena S Hoffmann, et al.Bioinformatics (Oxford, England)|April 17, 2026
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional DataLukas Burk, John Zobolas, Bernd Bischl, et al.Communications Biology|September 11, 2023
A self-supervised deep learning method for data-efficient training in genomicsHüseyin Anil Gündüz, Martin Binder, Xiao-Yin To, et al.Pageof 2