Publikationen von Karsten Borgwardt

Feragen, A.; Petersen, J.; Grimm, D.; Dirksen, A.; Pedersen, J. H.; Borgwardt, K.; de Bruijne, M.: Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. In: Information Processing in Medical Imaging, Bd. 7917, S. 171 - 183 (Hg. Gee, J. C.; Joshi, S.; Pohl, K. M.; Wells, W. M.; Zöllei, L. et al.) (2013)

Borgwardt, K. M.: Kernel Methods in Bioinformatics. In: Handbook of Statistical Bioinformatics, S. 317 - 334 (Hg. Lu, H. H.-S.; Schölkopf, B.; Zhao, H.). Springer, Berlin, Heidelberg (2011)

Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Schölkopf, B.: Covariate shift by kernel mean matching. In: Dataset shift in machine learning, Bd. 3, S. 5 (Hg. Quiñonero-​Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N. D.). MIT Press, Cambridge (2008)

Chen, D.; Hartout, P.; Pellizzoni, P.; Oliver, C.; Borgwardt, K.: Endowing protein language models with structural knowledge. arXiv: Condensed Matter-Materials Science (2024)

Muzio, G.; Adamer, M.; Fernandez, L.; Borgwardt, K.; Avican, K.: Bacterial protein function prediction via multimodal deep learning. bioRxiv (2024)

Oliver, C.; Chen, D.; Mallet, V.; Philippopoulos, P.; Borgwardt, K.: Approximate Network Motif Mining Via Graph Learning. arXiv (2022)

Hornauer, P.; Prack, G.; Anastasi, N.; Ronchi, S.; Kim, T.; Donner, C.; Fiscella, M.; Borgwardt, K.; Taylor, V.; Jagasia, R. et al.; Roqueiro, D.; Hierlemann, A.; Schröter, M.: Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation. bioRxiv (2022)

Weis, C.; Rieck, B.; Balzer, S.; Cuénod, A.; Egli, A.; Borgwardt, K.: Improved MALDI-TOF MS based antimicrobial resistance prediction through hierarchical stratification. bioRxiv (2022)

Moor, M.; Bennet, N.; Plecko, D.; Horn, M.; Rieck, B.; Meinshausen, N.; Bühlmann, P.; Borgwardt, K.: Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. arXiv (2021)

Moor, M.; Horn, M.; Bock, C.; Borgwardt, K.; Rieck, B.: Path Imputation Strategies for Signature Models of Irregular Time Series. arXiv (2020)