Content
Hornung, Roman
- Hornung R., Hapfelmeier A. (2024): Multi forests: Variable importance for multi-class outcomes. CMStatistics 2024. London, United Kingdom, 14.12.–16.12.2024. Talk
- Hornung R. (2024): Reproducibility at the Biometrical Journal: Simple tips for writing and publishing clear code to ensure reproducible results. Statistical Computing 2024. Günzburg, Germany, 28.07.-31.07.2024. Invited Talk
- Schulz-Kümpel H., Fischer S., Hornung R. (2024): Challenges in constructing confidence intervals around point estimates for resampling based performance. Conference on Foundations and Advances of Machine Learning in Official Statistics 2024. Wiesbaden, Germany, 03.04.–05.04.2024. Talk
- Hornung R., Nalenz M., Schneider L., Bender A., Bothmann L., Bischl B., Augustin T., Boulesteix A.-L. (2024): Evaluating machine learning models in non-standard settings: An overview and new findings. Conference on Foundations and Advances of Machine Learning in Official Statistics 2024. Wiesbaden, Germany, 03.04.–05.04.2024. Talk
- Hornung R. (2024): Simple tips for writing and publishing clear code to ensure reproducible results. Biometrisches Kolloquium 2024. Lübeck, Germany, 28.02.-01.03.2024. Talk
- Hornung R., Ludwigs F., Hagenberg J., Boulesteix A.-L. (2023): Prediction approaches for partly missing multi-omics covariate data: An overview and an empirical comparison study. CMStatistics 2023. Berlin, Germany, 16.12.–18.12.2023. Talk
- Hornung R. (2023): Simple tips for writing and publishing clear code to ensure reproducible results. Workshop "Open Replicable Research". Munich, Germany, 06.10.2023. Talk
- Li Y., Herold T., Mansmann U., Hornung R. (2023): Multi-omics data integration: Does more mean better for predictive modeling? A large-scale benchmark study. CEN 2023. Basel, Switzerland, 03.09.–07.09.2023. Talk
- Hapfelmeier A., Hornung R., Haller B. (2022): Sequential permutation testing of random forest variable importance measures. Statistical Computing 2022. Günzburg, Germany, 24.07.–27.07.2022. Talk
- Hornung R. (2022): Diversity Forests: Using split sampling to enable innovative complex split procedures in random forests. DAGStat 2022. Hamburg, Germany, 28.03.–01.04.2022. Talklet
- Hapfelmeier A., Hornung R., Haller B. (2022): Sequential permutation testing of random forest variable importance measures. DAGStat 2022. Hamburg, Germany, 28.03.–01.04.2022. Poster
- Hornung R., Bender A., Schneider L., Bothmann L., Nalenz M., Augustin T., Bischl B., Boulesteix A.-L. (2022): Evaluating strategies for estimating the generalization error of classification rules obtained using machine learning in official statistics. Statistische Woche 2022. Münster, Germany, 20.03.–23.03.2022. Talk
- Hornung R., Boulesteix A.-L. (2021): Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. ROeS 2021. Salzburg, Austria, 07.09.–10.09.2021. Talk
- Hornung R. (2021): Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Biometrisches Kolloquium 2021. Münster, Germany, 14.03.–17.03.2021. Talk
- Hornung R. (2020): Ordinal forests: Prediction and covariate importance ranking with ordinal response variables. CMStatistics 2020. London,United Kingdom, 19.12.–21.12.2020. Invited Talk
- Ellenbach N., Boulesteix A.-L., Bischl B., Unger K., Hornung R. (2019): Improved outcome prediction across data sources through robust parameter tuning. Statistical Computing 2019. Günzburg, Germany, 30.06.–03.07.2019. Talk
- Hornung R., Wright M. (2019): Block Forests: random forests for blocks of clinical and omics covariate data. DAGStat 2019. Muenchen, Germany, 18.03.–22.03.2019. Talk
- Hornung R., Wright M. (2018): Random forests for multi-omics data. Statistical Computing 2018. Günzburg, Germany, 08.07.–11.07.2018. Talk
- Klau S., Jurinovic V., Hornung R., Herold T., Boulesteix A.L. (2018): Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. Biometrisches Kolloquium 2018. Frankfurt, Germany, 25.03.–28.03.2018. Talk
- Boulesteix A.-L., Janitza S., Hornung R., Probst P., Busen H., Hapfelmeier A. (2017): Are published complex prediction rules currently applicable for readers? A survey of applied random forest literature and recommendations. CEN ISBS 2017. Wien, Austria, 28.08.2017–01.09.2017. Talk
- Hornung R. (2017): Ordinal Forests: A versatile tool for ordinal regression. Statistical Computing 2017. Günzburg, Germany, 23.07.–25.07.2017. Talk
- Hornung R., Jurinovic V., Metzeler K., Rothenberg-Thurley M., Ksienzyk B., Hartmann L., Greif P., Amler S., Schneider S., Sauerland M., Büchner T., Berdel W., Woermann B., Subklewe M., Fiegl M., Bohlander S., Braess J., Hiddemann W., Mansmann U., Spiekermann K., Boulesteix A.-L., Herold T. (2016): Identification and comparison of variables responsible for the indirect in uence of RUNX1 alterations on the survival of patients with acute myeloid leukemia. Wissenschaftliches Symposium der Med. Klinik III 2016. Herrsching, Germany, 22.07.-23.07.2016. Poster
- Hornung R., Causeur D., Boulesteix A.-L. (2015): Improved cross-study prediction through batch effect adjustment. Biometrisches Kolloquium 2015. Dortmund, Germany, 15.03.–18.03.2015. Talk
- Hornung R., Bernau C., Truntzer C., Stadler T., Boulesteix A.-L. (2014): Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction error estimation. Dresden University of Technology. 28.08.2014. Invited Talk
- Hornung R., Bernau C., Truntzer C., Stadler T., Boulesteix A.-L. (2014): Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction error estimation. Heidelberg University. 07.07.2014. Invited Talk
- Hornung R., Janitza S., El Hadad A., Boulesteix A.-L. (2014): The integrated Brier score as an appropriate error measure in the variable importance of Random Survival Forests. Biometrisches Kolloquium 2014. Bremen, Germany, 10.03.–13.03.2014. Talk
- Hornung R., Bernau C., Truntzer C., Stadler T., Boulesteix A.-L. (2013): A new measure of the impact of incomplete cross validation, with applications to various steps of prediction rule construction. DAGStat 2013. Freiburg, Germany, 18.03.–23.03.2013. Poster
- Hornung R., Causeur D., Boulesteix A.-L. (2013): Batch removal methods incorporating latent factor models to account for batch-specific correlation structures. Statistical Methods for (post-) Genomics Data 2013. Amsterdam, the Netherlands, 24.01.–25.01.2013. Poster
- Hornung R., Causeur D., Boulesteix A.-L. (2012): Batch removal methods incorporating latent factor models to account for batch-specific correlation structures. Building and Evaluating Prognostic Models 2012. Mainz, Germany, 24.09.–25.09.2012. Poster
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