Characterizing the Frequency of Pharmacogenomic Biomarker-Guided Prescribing for Drugs with Pharmacogenomic Biomarker information in the FDA Labelling: A Pilot Study Using Data from an Electronic Health Record. - Emily Beth Devine; Maher Khelifi; Katelyn Keyloun; Nathaniel Hendrix; Patrick Mathias; Christian Bock; Peter Tarczy-Hornoch (AMIA, 2015)

Visualizing Sensor Data through an Open Platform for Connected Devices. - Christian Bock; Thai Le; Arjmand Samuel; Danny Huang; Hilaire J. Thompson; George Demiris (MedInfo, 2015)

Clustering-Ansatz zur Erstellung von Lastprofilen zur Vorhersage des Stromverbrauchs. - Christian Bock (GvD, 2016)

Generating Load Profiles Using Smart Metering Time Series. - Christian Bock (EUSFLAT/IWIFSGN (1), 2017)

Solving Interoperability in Translational Health. - Anne M. Turner; Julio C. Facelli; Monique W. M. Jaspers; Thomas Wetter; Daniel Pfeifer; Laël Cranmer Gatewood; Terry Adam; Yu-Chuan Li; Ming-Chin Lin; R. Scott Evans; Anna L. Beukenhorst; Hugo Johan Theodoore van Mens; et al. (Appl. Clin. Inform., 2017)

Forecasting Energy Demand by Clustering Smart Metering Time Series. - Christian Bock (IPMU (1), 2018)

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)

A Persistent Weisfeiler-Lehman Procedure for Graph Classification. - Bastian Rieck; Christian Bock; Karsten M. Borgwardt (ICML, 2019)

Smart Sensors and Actors with BACnetTM and Mbed OS on Cortex-M Microcontrollers. - Christian Bock; Mathias Marquardt; Alexander Martens; Olaf Simanski; Olaf Hagendorf (WF-IoT, 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)

Set Functions for Time Series. - Max Horn; Michael Moor; Christian Bock; Bastian Rieck; Karsten M. Borgwardt (ICML, 2020)

Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. - Bastian Rieck; Tristan Yates; Christian Bock; Karsten M. Borgwardt; Guy Wolf; Nicholas B. Turk-Browne; Smita Krishnaswamy (NeurIPS, 2020)

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

Path Imputation Strategies for Signature Models. - Michael Moor; Max Horn; Christian Bock; Karsten M. Borgwardt; Bastian Rieck (CoRR, 2020)

"Know your customer" - Betrugsprävention im E-Commerce. - Christian Bock (Wirtschaftsinformatik Manag., 2020)

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning. - Christian Bock; Michael Moor; Catherine R. Jutzeler; Karsten M. Borgwardt (Artificial Neural Networks, 3rd Edition, 2021)

Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series. - Christian Bock (2021)

Online Time Series Anomaly Detection with State Space Gaussian Processes. - Christian Bock; François-Xavier Aubet; Jan Gasthaus; Andrey Kan; Ming Chen; Laurent Callot (CoRR, 2022)

Training Large-scale Foundation Models on Emerging AI Chips. - Aashiq Muhamed; Christian Bock; Rahul Solanki; Youngsuk Park; Yida Wang 003; Jun Huan (KDD, 2023)

SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents. - Muhammad Shihab Rashid; Christian Bock; Yuan Zhuang; Alexander Buchholz; Timothy B. Esler; Simon Valentin; Luca Franceschi 003; Martin Wistuba; Prabhu Teja Sivaprasad; Woo Jung Kim; Anoop Deoras; Giovanni Zappella; et al. (CoRR, 2025)