Andreas Bender

Orcid: 0000-0001-5628-8611

Affiliations:
  • LMU München, Department of Statistics, Munich, Germany (PhD 2018)


According to our database1, Andreas Bender authored at least 25 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Semantically Conditioned Diffusion Models for Cerebral DSA Synthesis.
CoRR, February, 2026

Deep generative models in digital subtraction angiography (DSA) and X-ray angiography: a systematic review.
Artif. Intell. Rev., February, 2026

2025
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.
J. Open Source Softw., December, 2025


Reduction Techniques for Survival Analysis.
CoRR, August, 2025

Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data.
npj Digit. Medicine, 2025

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

On Training Survival Models with Scoring Rules.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024
Deep learning for survival analysis: a review.
Artif. Intell. Rev., March, 2024

A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data.
CoRR, 2024

Training Survival Models using Scoring Rules.
CoRR, 2024

2023
Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany.
J. Comput. Graph. Stat., 2023

Evaluating machine learning models in non-standard settings: An overview and new findings.
CoRR, 2023

Deep Learning for Survival Analysis: A Review.
CoRR, 2023

2022
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures.
Bioinform., 2022

Factorized Structured Regression for Large-Scale Varying Coefficient Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Evaluation of survival distribution predictions with discrimination measures.
CoRR, 2021

Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls.
CoRR, 2021

mlr3proba: an R package for machine learning in survival analysis.
Bioinform., 2021

Semi-Structured Deep Piecewise Exponential Models.
Proceedings of AAAI Symposium on Survival Prediction, 2021

2020
mlr3proba: Machine Learning Survival Analysis in R.
CoRR, 2020

A General Machine Learning Framework for Survival Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2018
coalitions: Coalition probabilities in multi-party democracies.
J. Open Source Softw., 2018

2012
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations.
Briefings Bioinform., 2012


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