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We stand with Ukraine

Christian Bock

Orcid: 0000-0002-0701-5868

According to our database¹, Christian Bock authored at least 20 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2023

Training Large-scale Foundation Models on Emerging AI Chips.

[BibT_eX]

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Online Time Series Anomaly Detection with State Space Gaussian Processes.

[BibT_eX]

[DOI]

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François-Xavier Aubet

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CoRR, 2022

2021

Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series.

[BibT_eX]

[DOI]

PhD thesis, 2021

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.

[BibT_eX]

[DOI]

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Catherine R. Jutzeler

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Karsten M. Borgwardt

Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020

"Know your customer" - Betrugsprävention im E-Commerce.

[BibT_eX]

[DOI]

Wirtschaftsinformatik Manag., 2020

Path Imputation Strategies for Signature Models.

[BibT_eX]

[DOI]

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Karsten M. Borgwardt

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CoRR, 2020

Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence.

[BibT_eX]

[DOI]

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Karsten M. Borgwardt

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Nicholas B. Turk-Browne

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Smita Krishnaswamy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Set Functions for Time Series.

[BibT_eX]

[DOI]

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Karsten M. Borgwardt

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Machine learning for early prediction of circulatory failure in the intensive care unit.

[BibT_eX]

[DOI]

Stephanie L. Hyland

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Matthias Hüser

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Cristóbal Esteban

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Marc Zimmermann

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Dean A. Bodenham

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Karsten M. Borgwardt

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CoRR, 2019

Smart Sensors and Actors with BACnet<sup>TM</sup> and Mbed OS on Cortex-M Microcontrollers.

[BibT_eX]

[DOI]

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Mathias Marquardt

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Alexander Martens

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Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

A Persistent Weisfeiler-Lehman Procedure for Graph Classification.

[BibT_eX]

[DOI]

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Karsten M. Borgwardt

Proceedings of the 36th International Conference on Machine Learning, 2019

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology.

[BibT_eX]

[DOI]

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Matteo Togninalli

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Karsten M. Borgwardt

Proceedings of the 7th International Conference on Learning Representations, 2019

A Wasserstein Subsequence Kernel for Time Series.

[BibT_eX]

[DOI]

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Matteo Togninalli

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M. Elisabetta Ghisu

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Karsten M. Borgwardt

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Association mapping in biomedical time series via statistically significant shapelet mining.

[BibT_eX]

[DOI]

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Damian Roqueiro

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Karsten M. Borgwardt

Bioinform., 2018

Forecasting Energy Demand by Clustering Smart Metering Time Series.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2017

Solving Interoperability in Translational Health.

[BibT_eX]

[DOI]

Appl. Clin. Inform., 2017

Generating Load Profiles Using Smart Metering Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2016

Clustering-Ansatz zur Erstellung von Lastprofilen zur Vorhersage des Stromverbrauchs.

[BibT_eX]

[DOI]

Proceedings of the 28th GI-Workshop Grundlagen von Datenbanken, Nörten Hardenberg, 2016

2015

Visualizing Sensor Data through an Open Platform for Connected Devices.

[BibT_eX]

[DOI]

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Hilaire J. Thompson

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Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

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.

[BibT_eX]

[DOI]

Emily Beth Devine

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Katelyn Keyloun

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Nathaniel Hendrix

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Patrick Mathias

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Peter Tarczy-Hornoch

Proceedings of the AMIA 2015, 2015

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