Bischl B - Search Results

1

Boosting in Nonlinear Regression Models with an Application to DCE-MRI Data.

Feilke M, Bischl B, Schmid VJ, Gertheiss J. Feilke M, et al. Among authors: bischl b. Methods Inf Med. 2016;55(1):31-41. doi: 10.3414/ME14-01-0131. Epub 2015 Nov 18. Methods Inf Med. 2016. PMID: 26577400

2

Probing for Sparse and Fast Variable Selection with Model-Based Boosting.

Thomas J, Hepp T, Mayr A, Bischl B. Thomas J, et al. Among authors: bischl b. Comput Math Methods Med. 2017;2017:1421409. doi: 10.1155/2017/1421409. Epub 2017 Jul 31. Comput Math Methods Med. 2017. PMID: 28831289 Free PMC article.

3

Analyzing the BBOB results by means of benchmarking concepts.

Mersmann O, Preuss M, Trautmann H, Bischl B, Weihs C. Mersmann O, et al. Among authors: bischl b. Evol Comput. 2015 Spring;23(1):161-85. doi: 10.1162/EVCO_a_00134. Epub 2014 Nov 24. Evol Comput. 2015. PMID: 24967695

4

The residual-based predictiveness curve: A visual tool to assess the performance of prediction models.

Casalicchio G, Bischl B, Boulesteix AL, Schmid M. Casalicchio G, et al. Among authors: bischl b. Biometrics. 2016 Jun;72(2):392-401. doi: 10.1111/biom.12455. Epub 2015 Dec 17. Biometrics. 2016. PMID: 26676377

5

Symplectic Gaussian process regression of maps in Hamiltonian systems.

Rath K, Albert CG, Bischl B, von Toussaint U. Rath K, et al. Among authors: bischl b. Chaos. 2021 May;31(5):053121. doi: 10.1063/5.0048129. Chaos. 2021. PMID: 34240952

6

Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting".

Thomas J, Hepp T, Mayr A, Bischl B. Thomas J, et al. Among authors: bischl b. Comput Math Methods Med. 2018 Jul 5;2018:2430438. doi: 10.1155/2018/2430438. eCollection 2018. Comput Math Methods Med. 2018. PMID: 30073029 Free PMC article.

7

Structured Verification of Machine Learning Models in Industrial Settings.

Kaminwar SR, Goschenhofer J, Thomas J, Thon I, Bischl B. Kaminwar SR, et al. Among authors: bischl b. Big Data. 2023 Jun;11(3):181-198. doi: 10.1089/big.2021.0112. Epub 2021 Dec 31. Big Data. 2023. PMID: 34978896 Free PMC article.

8

Resampling methods for meta-model validation with recommendations for evolutionary computation.

Bischl B, Mersmann O, Trautmann H, Weihs C. Bischl B, et al. Evol Comput. 2012 Summer;20(2):249-75. doi: 10.1162/EVCO_a_00069. Epub 2012 Mar 12. Evol Comput. 2012. PMID: 22339368

9

High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks.

Pfister FMJ, Um TT, Pichler DC, Goschenhofer J, Abedinpour K, Lang M, Endo S, Ceballos-Baumann AO, Hirche S, Bischl B, Kulić D, Fietzek UM. Pfister FMJ, et al. Among authors: bischl b. Sci Rep. 2020 Apr 3;10(1):5860. doi: 10.1038/s41598-020-61789-3. Sci Rep. 2020. PMID: 32246097 Free PMC article.

10

A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.

Stüber AT, Coors S, Schachtner B, Weber T, Rügamer D, Bender A, Mittermeier A, Öcal O, Seidensticker M, Ricke J, Bischl B, Ingrisch M. Stüber AT, et al. Among authors: bischl b. Invest Radiol. 2023 Dec 1;58(12):874-881. doi: 10.1097/RLI.0000000000001009. Epub 2023 Jul 28. Invest Radiol. 2023. PMID: 37504498 Free PMC article.

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