Publications

Preprints

• 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.” arXiv, Jun. 06, 2024. doi: 10.48550/arXiv.2406.04098.

• R. Sonabend, J. Zobolas, P. Kopper, L. Burk, and A. Bender, “Examining properness in the external validation of survival models with squared and logarithmic losses.” arXiv, Jun. 03, 2024. doi: 10.48550/arXiv.2212.05260.

Journal Articles

• H. J. Coyle-Asbil, L. Burk et al., “Energy expenditure prediction in preschool children: a machine learning approach using accelerometry and external validation” Physiol. Meas., 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.” JORS, vol. 5, no. 1, p. 2, Jan. 2017, doi: 10.5334/jors.150.

Contributions to Books

• G. Casalicchio and L. Burk, “Evaluation and Benchmarking.” in Applied machine learning using mlr3 in R , 1st ed., B. Bischl, R. Sonabend, L. Kotthoff, and M. Lang, Eds., CRC Press, 2024. Available: https://mlr3book.mlr-org.com/evaluation_and_benchmarking.html