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2020 – today
- 2023
[c12]Aashiq Muhamed
, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan:
Training Large-scale Foundation Models on Emerging AI Chips. KDD 2023: 5821-5822- 2022
- [i6]Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot:
Online Time Series Anomaly Detection with State Space Gaussian Processes. CoRR abs/2201.06763 (2022) - 2021
- [b1]Christian Bock:
Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series. ETH Zurich, Zürich, Switzerland, 2021 - [p1]Christian Bock, Michael Moor, Catherine R. Jutzeler, Karsten M. Borgwardt:
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning. Artificial Neural Networks, 3rd Edition 2021: 33-71 - 2020
- [j3]Christian Bock:
"Know your customer" - Betrugsprävention im E-Commerce. Wirtschaftsinformatik Manag. 12(1): 43-46 (2020) - [c11]Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt:
Set Functions for Time Series. ICML 2020: 4353-4363 - [c10]Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. NeurIPS 2020 - [i5]Michael Moor, Max Horn, Christian Bock, Karsten M. Borgwardt, Bastian Rieck:
Path Imputation Strategies for Signature Models. CoRR abs/2005.12359 (2020) - [i4]Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy:
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence. CoRR abs/2006.07882 (2020)
2010 – 2019
- 2019
- [c9]Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt:
A Wasserstein Subsequence Kernel for Time Series. ICDM 2019: 964-969 - [c8]Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt:
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) 2019 - [c7]Bastian Rieck, Christian Bock, Karsten M. Borgwardt:
A Persistent Weisfeiler-Lehman Procedure for Graph Classification. ICML 2019: 5448-5458 - [c6]Christian Bock, Mathias Marquardt, Alexander Martens, Olaf Simanski, Olaf Hagendorf:
Smart Sensors and Actors with BACnetTM and Mbed OS on Cortex-M Microcontrollers. WF-IoT 2019: 937-942 - [i3]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, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz:
Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR abs/1904.07990 (2019) - [i2]Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten M. Borgwardt:
Set Functions for Time Series. CoRR abs/1909.12064 (2019) - 2018
- [j2]Christian Bock, Thomas Gumbsch, Michael Moor, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt:
Association mapping in biomedical time series via statistically significant shapelet mining. Bioinform. 34(13): i438-i446 (2018) - [c5]Christian Bock:
Forecasting Energy Demand by Clustering Smart Metering Time Series. IPMU (1) 2018: 431-442 - [i1]Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt:
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR abs/1812.09764 (2018) - 2017
- [j1]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, Esmée Tensen, Christian Bock, Laura Fendrich, Peter Seitz, Julian Suleder, Ranyah Aldekhyyel, Kent Bridgeman, Zhen Hu, Aaron Sattler, Shin-Yi Guo, Md. Mohaimenul Islam, Dina Nur Anggraini Ningrum, Hsin-Ru Tung, Jiantao Bian, Joseph M. Plasek, Casey A. Rommel, Juandalyn Burke, Harkirat Sohi:
Solving Interoperability in Translational Health. Appl. Clin. Inform. 08(02): 651-659 (2017) - [c4]Christian Bock:
Generating Load Profiles Using Smart Metering Time Series. EUSFLAT/IWIFSGN (1) 2017: 211-223 - 2016
- [c3]Christian Bock:
Clustering-Ansatz zur Erstellung von Lastprofilen zur Vorhersage des Stromverbrauchs. GvD 2016: 21-26 - 2015
- [c2]Emily Beth Devine, Maher Khelifi, Katelyn Keyloun, Nathaniel Hendrix, Patrick Mathias, Christian Bock, Peter Tarczy-Hornoch:
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. AMIA 2015 - [c1]Christian Bock, Thai Le, Arjmand Samuel, Danny Huang, Hilaire J. Thompson, George Demiris:
Visualizing Sensor Data through an Open Platform for Connected Devices. MedInfo 2015: 964
Coauthor Index
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