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Lukas Burk
Observed name:
Burk, Lukas
Institutions:
University of Bremen,
Leibniz Institute for Prevention Research and Epidemiology - BIPS,
Munich Center for Machine Learning,
Ludwig-Maximilians-Universität München
Observed institutions:
University of Bremen,
Leibniz Institute for Prevention Research and Epidemiology - BIPS,
Munich Center for Machine Learning,
Ludwig-Maximilians-Universität München
ORCID:
0000-0001-7528-3795
Observed ORCID:
0000-0001-7528-3795
OpenAlex ID:
A5084280943
A large-scale neutral comparison study of survival models on low-dimensional data
2026
·
Lukas Burk
, John Zobolas
, et al.
·
Bioinformatics
·
4
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
2025
·
Kristin Blesch
, Niklas Koenen
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
4
PDF
Flexible Group Fairness Metrics for Survival Analysis
2022
·
Raphael Sonabend
, Florian Pfisterer
, et al.
·
Research Square
·
4
PDF
Energy expenditure prediction in preschool children: a machine learning approach using accelerometry and external validation
2024
·
Hannah J Coyle-Asbil
, Lukas Burk
, et al.
·
Physiological Measurement
·
3
PDF
When Are Scoring Rules Proper? Bridging Theory and Practice in Survival Model Evaluation
2022
·
Zobolas, John
, Sonabend, Raphael
, et al.
·
arXiv (Cornell University)
·
3
PDF
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration
2025
·
Sebastian Fischer
, John Zobolas
, et al.
·
The Journal of Open Source Software
·
2
PDF
High‐Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression
2025
·
Lukas Burk
, Andreas Bender
, et al.
·
Biometrical Journal
·
2
PDF
Reduction techniques for survival analysis
2026
·
Johannes Piller
, Léa Orsini
, et al.
·
Lifetime Data Analysis
·
1
Pre-Infection Mental Health, but Not Brain Volumetry, Predicts Risk of Post-COVID Condition: A Population-Based Cohort Study in the German National Cohort (NAKO)
2026
·
Claas Flint
, Cord Spreckelsen
, et al.
·
medRxiv
PDF
Applied Machine Learning in Epidemiology: Feature Selection, Benchmarks, and Software
2026
·
Burk, Lukas
·
Media (https://www.suub.uni-bremen.de/)
PDF
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data
2026
·
Burk, Lukas
, Zobolas, John
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration
2025
·
Fischer, Sebastian
, Zobolas, John
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Epidemiology
2024
·
Marvin N. Wright
, Lukas Burk
, et al.
·
Springer eBooks
PDF
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Works count:
14
Citation count:
23
H-index:
3
I10-index:
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