Publications

Journal Article (8)

1.
Journal Article
Bock, C.; Togninalli, M.; Ghisu, E.; Gumbsch, T.; Rieck, B.; Borgwardt, K.: A Wasserstein Subsequence Kernel for Time Series. 2019 IEEE International Conference on Data Mining (ICDM), pp. 964 - 969 (2019)
2.
Journal Article
Llinares-López, F.; Papaxanthos, L.; Roqueiro, D.; Bodenham, D.; Borgwardt, K.: CASMAP: detection of statistically significant combinations of SNPs in association mapping. Bioinformatics 35 (15), pp. 2680 - 2682 (2019)
3.
Journal Article
Moor, M.; Horn, M.; Rieck, B.; Roqueiro, D.; Borgwardt, K.: Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. Proceedings of the 4th Machine Learning for Healthcare Conference , PMLR 106, pp. 2 - 26 (2019)
4.
Journal Article
Rieck, B.; Bock, C.; Borgwardt, K.: A Persistent Weisfeiler-Lehman Procedure for Graph Classification. Proceedings of the 36th International Conference on Machine Learning (ICML 2019), PMLR 97 97, pp. 5448 - 5458 (2019)
5.
Journal Article
Rieck, B. A.; Togninalli, M.; Bock, C.; Moor, M.; Horn, M.; Gumbsch, T.; Borgwardt, K.: Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. International Conference on Learning Representations (ICLR) 2019 (2019)
6.
Journal Article
Sugiyama, M.; Borgwardt, K.: Finding Statistically Significant Interactions between Continuous Features. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), pp. 3490 - 3498 (2019)
7.
Journal Article
Togninalli, M.; Ghisu, E.; Llinares-López, F.; Rieck, B.; Borgwardt, K.: Wasserstein Weisfeiler-Lehman Graph Kernels. Advances in Neural Information Processing Systems 32 (NeurIPS 2019) (2019)
8.
Journal Article
Togninalli, M.; Yoneoka, D.; Kolios, A. G. A.; Borgwardt, K.; Nilsson, J.: Pretransplant Kinetics of Anti-HLA Antibodies in Patients on the Waiting List for Kidney Transplantation. Journal of the American Society of Nephrology 30 (11), pp. 2262 - 2274 (2019)

Book Chapter (1)

9.
Book Chapter
Llinares-​López, F.; Borgwardt, K.: Machine Learning for Biomarker Discovery: Significant Pattern Mining. In: Analyzing Network Data in Biology and Medicine, pp. 313 - 368 (Ed. Pržulj, N.). Cambridge University Press (2019)
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