Publications

Published Articles

  • L. Burk, J. Zobolas, B. Bischl, A. Bender, M. N. Wright, and R. Sonabend, “A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data”, Bioinformatics, vol. 42, no. 5, p. btag186, May 2026, doi: 10.1093/bioinformatics/btag186.

  • J. Piller, L. Orsini, S. Wiegrebe, S. H. Langbein, L. Burk, J. Zobolas, P. Studener, M. Goeswein, and A. Bender, “Reduction Techniques for Survival Analysis”, Lifetime Data Analysis, vol. 32, no. 2, 2026, doi: 10.1007/s10985-026-09714-0.

  • S. Fischer, J. Zobolas, R. Sonabend, M. Becker, M. Lang, M. Binder, L. Schneider, L. Burk, P. Schratz, B. C. Jaeger, S. A. Lauer, L. A. Kapsner, M. Mücke, Z. Wang, D. Pulatov, K. Ganz, H. Funk, L. Harutyunyan, P. Camilleri, P. Kopper, A. Bender, B. Zhou, N. German, L. Koers, A. Nazarova, and B. Bischl, “mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration”, Journal of Open Source Software, vol. 10, no. 115, p. 8331, Nov. 2025, doi: 10.21105/joss.08331.

  • K. Blesch, N. Koenen, J. Kapar, P. Golchian, L. Burk, M. Loecher, and M. N. Wright, “Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests”, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 15, p. 15596–15604, Apr. 2025, doi: 10.1609/aaai.v39i15.33712.

  • L. Burk, A. Bender, and M. N. Wright, “High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression”, Biometrical Journal, vol. 67, no. 1, p. e70036, 2025, doi: 10.1002/bimj.70036.

  • H. J. Coyle-Asbil, L. Burk, M. Brandes, B. Brandes, C. Buck, M. N. Wright, and L. A. Vallis, “Energy Expenditure Prediction in Preschool Children: A Machine Learning Approach Using Accelerometry and External Validation”, Physiological Measurement, vol. 45, no. 9, p. 095015, Sep. 2024, doi: 10.1088/1361-6579/ad7ad2.

  • M. Heckmann and L. Burk, “Gridsampler – A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies”, Journal of Open Research Software, vol. 5, no. 1, p. 2, Jan. 2017, doi: 10.5334/jors.150.

Preprints

  • L. Burk, F. K. Ewald, G. Casalicchio, M. N. Wright, and B. Bischl, “xplainfi: Feature Importance and Statistical Inference for Machine Learning in R.” arXiv, Mar. 16, 2026. doi: 10.48550/arXiv.2603.15306.

  • R. Sonabend, J. Zobolas, R. B. Bin, P. Kopper, L. Burk, and A. Bender, “Examining Marginal Properness in the External Validation of Survival Models with Squared and Logarithmic Losses.” arXiv, May 31, 2025. doi: 10.48550/arXiv.2212.05260.

  • R. Sonabend, F. Pfisterer, A. Mishler, M. Schauer, L. Burk, S. Mukherjee, and S. Vollmer, “Flexible Group Fairness Metrics for Survival Analysis.” arXiv, Jul. 22, 2022. doi: 10.48550/arXiv.2206.03256.

Book Chapters

  • G. Casalicchio and L. Burk, “Evaluation and Benchmarking” in Applied Machine Learning Using mlr3 in R, B. Bischl, R. Sonabend, L. Kotthoff, and M. Lang, Eds., 1st ed., CRC Press, 2024. doi: 10.1201/9781003402848.

  • M. N. Wright, L. Burk, P. Golchian, J. Kapar, N. Koenen, and S. H. Langbein, “Machine Learning in Epidemiology” in Handbook of Epidemiology, W. Ahrens and I. Pigeot, Eds., Springer New York, pp. 1–68, 2024. doi: 10.1007/978-1-4614-6625-3_81-1.