Kernel Conditional Clustering. - Xiao He 008; Thomas Gumbsch; Damian Roqueiro; Karsten M. Borgwardt (ICDM, 2017)

Association mapping in biomedical time series via statistically significant shapelet mining. - Christian Bock; Thomas Gumbsch; Michael Moor; Bastian Rieck; Damian Roqueiro; Karsten M. Borgwardt (Bioinform., 2018)

A Wasserstein Subsequence Kernel for Time Series. - Christian Bock; Matteo Togninalli; M. Elisabetta Ghisu; Thomas Gumbsch; Bastian Rieck; Karsten M. Borgwardt (ICDM, 2019)

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. - Bastian Rieck; Matteo Togninalli; Christian Bock; Michael Moor; Max Horn; Thomas Gumbsch; Karsten M. Borgwardt (ICLR (Poster), 2019)

Machine learning for early prediction of circulatory failure in the intensive care unit. - Stephanie L. Hyland; Martin Faltys; Matthias Hüser; Xinrui Lyu; Thomas Gumbsch; Cristóbal Esteban; Christian Bock; Max Horn; Michael Moor; Bastian Rieck; Marc Zimmermann; Dean A. Bodenham; et al. (CoRR, 2019)

Enhancing statistical power in temporal biomarker discovery through representative shapelet mining. - Thomas Gumbsch; Christian Bock; Michael Moor; Bastian Rieck; Karsten M. Borgwardt (Bioinform., 2020)

Kernel conditional clustering and kernel conditional semi-supervised learning. - Xiao He 008; Thomas Gumbsch; Damian Roqueiro; Karsten M. Borgwardt (Knowl. Inf. Syst., 2020)

An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit. - Xinrui Lyu; Bowen Fan; Matthias Hüser; Philip Hartout; Thomas Gumbsch; Martin Faltys; Tobias M. Merz; Gunnar Rätsch; Karsten M. Borgwardt (Bioinform., 2024)