Andreas Bender
Orcid: 0000-0001-5628-8611Affiliations:
- 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:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2026
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
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.
Dataset, November, 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
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025
2024
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
2022
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures.
Bioinform., 2022
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
CoRR, 2021
Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls.
CoRR, 2021
Proceedings of AAAI Symposium on Survival Prediction, 2021
2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
2018
J. Open Source Softw., 2018
2012
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations.
Briefings Bioinform., 2012