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ORCIDAndreas Bender 0001
Person information
- affiliation (PhD 2018): LMU München, Department of Statistics, Munich, Germany
- not to be confused with: Andreas Bender 0003
Other persons with the same name
- Andreas Bender — disambiguation page
- Andreas Bender 0002
![[0000-0002-6683-7546]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6683-7546")
— University of Cambridge, UK - Andreas Bender 0003 — LMU München, Department of Neurology, Munich, Germany
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Journal Articles
- 2024
[j6]Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender:
Deep learning for survival analysis: a review. Artif. Intell. Rev. 57(3): 65 (2024)- 2023
- [j5]Cornelius Fritz, Giacomo De Nicola, Felix Günther, David Rügamer, Martje Rave, Marc Schneble, Andreas Bender, Maximilian Weigert, Ralph Brinks, Annika Hoyer, Ursula Berger, Helmut Küchenhoff, Göran Kauermann:
Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany. J. Comput. Graph. Stat. 32(3): 765-766 (2023) - 2022
- [j4]Raphael Sonabend, Andreas Bender, Sebastian J. Vollmer:
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures. Bioinform. 38(17): 4178-4184 (2022) - 2021
- [j3]Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang:
mlr3proba: an R package for machine learning in survival analysis. Bioinform. 37(17): 2789-2791 (2021) - 2018
- [j2]Andreas Bender, Alexander Bauer:
coalitions: Coalition probabilities in multi-party democracies. J. Open Source Softw. 3(23): 606 (2018) - 2012
- [j1]Anne-Laure Boulesteix, Andreas Bender, Justo Lorenzo Bermejo, Carolin Strobl:
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations. Briefings Bioinform. 13(3): 292-304 (2012)
Conference and Workshop Papers
- 2022
- [c4]Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer:
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis. PAKDD (2) 2022: 249-261 - [c3]David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl:
Factorized Structured Regression for Large-Scale Varying Coefficient Models. ECML/PKDD (5) 2022: 20-35 - 2021
- [c2]Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer:
Semi-Structured Deep Piecewise Exponential Models. SPACA 2021: 40-53 - 2020
- [c1]Andreas Bender, David Rügamer, Fabian Scheipl, Bernd Bischl:
A General Machine Learning Framework for Survival Analysis. ECML/PKDD (3) 2020: 158-173
Informal and Other Publications
- 2024
- [i11]Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender:
Training Survival Models using Scoring Rules. CoRR abs/2403.13150 (2024) - [i10]Lukas Burk, John Zobolas, Bernd Bischl, Andreas Bender, Marvin N. Wright, Raphael Sonabend:
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data. CoRR abs/2406.04098 (2024) - 2023
- [i9]Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Andreas Bender:
Deep Learning for Survival Analysis: A Review. CoRR abs/2305.14961 (2023) - [i8]Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix:
Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR abs/2310.15108 (2023) - 2022
- [i7]Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer:
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis. CoRR abs/2202.07423 (2022) - [i6]David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl:
Factorized Structured Regression for Large-Scale Varying Coefficient Models. CoRR abs/2205.13080 (2022) - 2021
- [i5]Alexander Bauer, André Klima, Jana Gauß, Hannah Kümpel, Andreas Bender, Helmut Küchenhoff:
Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls. CoRR abs/2105.07811 (2021) - [i4]Raphael Sonabend, Andreas Bender, Sebastian J. Vollmer:
Evaluation of survival distribution predictions with discrimination measures. CoRR abs/2112.04828 (2021) - 2020
- [i3]Andreas Bender, David Rügamer, Fabian Scheipl, Bernd Bischl:
A General Machine Learning Framework for Survival Analysis. CoRR abs/2006.15442 (2020) - [i2]Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang:
mlr3proba: Machine Learning Survival Analysis in R. CoRR abs/2008.08080 (2020) - [i1]Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer:
Semi-Structured Deep Piecewise Exponential Models. CoRR abs/2011.05824 (2020)
Coauthor Index
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