Raphael Sonabend

According to our database, Raphael Sonabend authored at least 21 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.

Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C. Jaeger, Stephen A. Lauer, Lorenz A. Kapsner, Maximilian Mücke, Zezhi Wang, Damir Pulatov, Keenan Ganz, Henri Funk, Liana Harutyunyan, Pierre Camilleri, Philipp Kopper, Andreas Bender, Baisu Zhou, Niko German, Lona Koers, Anna Nazarova, Bernd Bischl

J. Open Source Softw., December, 2025

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.

Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C. Jaeger, Stephen A. Lauer, Lorenz A. Kapsner, Maximilian Mücke, Zezhi Wang, Damir Pulatov, Keenan Ganz, Henri Funk, Liana Harutyunyan, Pierre Camilleri, Philipp Kopper, Andreas Bender, Baisu Zhou, Niko German, Lona Koers, Anna Nazarova, Bernd Bischl

Dataset, November, 2025

On Training Survival Models with Scoring Rules.

Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Deep learning for survival analysis: a review.

Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender

Artif. Intell. Rev., March, 2024

FAIR-USE4OS: Guidelines for creating impactful open-source software.

Raphael Sonabend, Hugo Gruson, Leo Wolansky, Agnes Kiragga, Daniel S. Katz

PLoS Comput. Biol., 2024

The impact of health inequity on spatial variation of COVID-19 transmission in England.

Thomas Rawson, Wes Hinsley, Raphael Sonabend, Elizaveta Semenova, Anne Cori, Neil M. Ferguson

PLoS Comput. Biol., 2024

Unicorns Do Not Exist: Employing and Appreciating Community Managers in Open Source.

Raphael Sonabend, Anna Carnegie, Anne Lee Steele, Marie Nugent, Malvika Sharan

CoRR, 2024

A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data.

Lukas Burk, John Zobolas, Bernd Bischl, Andreas Bender, Marvin N. Wright, Raphael Sonabend

CoRR, 2024

Training Survival Models using Scoring Rules.

Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender

CoRR, 2024

FAIR-USE4OS: From open source to Open Source.

Raphael Sonabend, Hugo Gruson, Leo Wolansky, Agnes Kiragga, Daniel S. Katz

CoRR, 2024

2023

Deep Learning for Survival Analysis: A Review.

Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Andreas Bender

CoRR, 2023

2022

Scoring rules in survival analysis.

Raphael Sonabend

CoRR, 2022

Flexible Group Fairness Metrics for Survival Analysis.

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.

Raphael Sonabend, Andreas Bender, Sebastian J. Vollmer

Bioinform., 2022

2021

distr6: R6 Object-Oriented Probability Distributions Interface in R.

Raphael Sonabend, Franz J. Király

R J., 2021

Evaluation of survival distribution predictions with discrimination measures.

Raphael Sonabend, Andreas Bender, Sebastian J. Vollmer

CoRR, 2021

Designing Machine Learning Toolboxes: Concepts, Principles and Patterns.

Franz J. Király, Markus Löning, Anthony D. Blaom, Ahmed Guecioueur, Raphael Sonabend

CoRR, 2021

mlr3proba: an R package for machine learning in survival analysis.

Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang

Bioinform., 2021

2020

set6: R6 Mathematical Sets Interface.

Raphael Sonabend, Franz J. Király

J. Open Source Softw., 2020

mlr3proba: Machine Learning Survival Analysis in R.

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.

Franz J. Király, Bilal A. Mateen, Raphael Sonabend

CoRR, 2018