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Raphael Sonabend

Orcid: 0000-0001-9225-4654

According to our database1, Raphael Sonabend authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
Deep learning for survival analysis: a review.
[BibTeX]
[DOI]
Simon Wiegrebe
,
Philipp Kopper
,
Raphael Sonabend
,
Bernd Bischl
,
Andreas Bender
Artif. Intell. Rev., March, 2024

Training Survival Models using Scoring Rules.
[BibTeX]
[DOI]
Philipp Kopper
,
David Rügamer
,
Raphael Sonabend
,
Bernd Bischl
,
Andreas Bender
CoRR, 2024

FAIR-USE4OS: From open source to Open Source.
[BibTeX]
[DOI]
Raphael Sonabend
,
Hugo Gruson
,
Leo Wolansky
,
Agnes Kiragga
,
Daniel S. Katz
CoRR, 2024

2023
Deep Learning for Survival Analysis: A Review.
[BibTeX]
[DOI]
Simon Wiegrebe
,
Philipp Kopper
,
Raphael Sonabend
,
Andreas Bender
CoRR, 2023

2022
Scoring rules in survival analysis.
[BibTeX]
[DOI]
Raphael Sonabend
CoRR, 2022

Flexible Group Fairness Metrics for Survival Analysis.
[BibTeX]
[DOI]
Raphael Sonabend
,
Florian Pfisterer
,
Alan Mishler
,
Moritz Schauer
,
Lukas Burk
,
Sebastian J. Vollmer
CoRR, 2022

Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures.
[BibTeX]
[DOI]
Raphael Sonabend
,
Andreas Bender
,
Sebastian J. Vollmer
Bioinform., 2022

2021
distr6: R6 Object-Oriented Probability Distributions Interface in R.
[BibTeX]
[DOI]
Raphael Sonabend
,
Franz J. Király
R J., 2021

Evaluation of survival distribution predictions with discrimination measures.
[BibTeX]
[DOI]
Raphael Sonabend
,
Andreas Bender
,
Sebastian J. Vollmer
CoRR, 2021

Designing Machine Learning Toolboxes: Concepts, Principles and Patterns.
[BibTeX]
[DOI]
Franz J. Király
,
Markus Löning
,
Anthony D. Blaom
,
Ahmed Guecioueur
,
Raphael Sonabend
CoRR, 2021

mlr3proba: an R package for machine learning in survival analysis.
[BibTeX]
[DOI]
Raphael Sonabend
,
Franz J. Király
,
Andreas Bender
,
Bernd Bischl
,
Michel Lang
Bioinform., 2021

2020
set6: R6 Mathematical Sets Interface.
[BibTeX]
[DOI]
Raphael Sonabend
,
Franz J. Király
J. Open Source Softw., 2020

mlr3proba: Machine Learning Survival Analysis in R.
[BibTeX]
[DOI]
Raphael Sonabend
,
Franz J. Király
,
Andreas Bender
,
Bernd Bischl
,
Michel Lang
CoRR, 2020

2018
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature.
[BibTeX]
[DOI]
Franz J. Király
,
Bilal A. Mateen
,
Raphael Sonabend
CoRR, 2018


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