Ing. Christoph Schranz, MSc. BEd.
| Position: | Data Scientist |
| Department: | Human Motion Analytics |
| Telephon: | +43/662/2288-408 |
| E-Mail: | Send an e-mail |
- Schranz, Christoph; Kranzinger, Stefan and Moore, Stephanie (2024): Synthetic Data for Foot Strike Angle Estimation. In: Proceedings of the 12tInternational Conference on Sport Sciences Research and Technology Support. ISBN 978-989-758-719-1, pages 113-118.
- Höschler, Lucas; Halmich, Christina; Schranz, Christoph; Fritz, Julian; Koelewijn, Anne; and Schwameder, Hermann (2024): TOWARDS REAL-TIME ASSESSMENT: WEARABLE-BASED ESTIMATION OF 3D KNEE KINETICS IN RUNNING AND THE INFLUENCE OF PREPROCESSING WORKFLOWS In: ISBS Proceedings Archive: Vol. 42: Iss. 1, Article 72.
- Schranz, Christoph and Halmich, Christina and Mayr, Sebastian and Heib, Dominik P. J. (2024): Surrogate Modelling of Heartbeat Events for Improved J-peak Detection in BCG Using Deep Learning In: Frontiers in Network Physiology.
- Christoph Schranz, Sebastian Mayr, Severin Bernhart, Christina Halmich (2024): Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization In: EURASIP Journal on Advances in Signal Processing.
- Christoph Schranz, Sebastian Mayr, Severin Bernhart, Christina Halmich (2023): Nearest Advocate: A Novel Event-based Time Delay Estimation Algorithm for Multi-Sensor Time-Series Data Synchronization. Preprint (Version 1) available at Research Square.
- Schmoigl-Tonis Mathias, Schranz Christoph, Müller-Putz Gernot R. (2023): Methods for motion artifact reduction in online brain-computer interface experiments: a systematic review. In: Frontiers in Human Neuroscience, Sec. Brain-Computer Interfaces, Volume 17-2023.
- Christoph Schranz, Oliver Jung (2023): What do Stress-Estimation Models really represent? In: Conference: ECSS
- Christoph Schranz, Sebastian Mayr (2022): Ein neuer Algorithmus zur Zeitsynchronisierung von Ereignis- basierten Zeitreihendaten als Alternative zur Kreuzkorrelation. In: Proceedings of the 14th Symposium of the Section Sport Informatics and Engineering of the German Society of Sport Science (dvs).
- C. Schranz, F. Strohmeier and V. Damjanovic-Behrendt (2021): A Digital Twin Prototype for Product Lifecycle Data Management. In: 2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA), Antalya, Turkey, 2020, pp. 1-6.
- Christoph Schranz, Peter Michael Jeremias (2020): Deterministic Time-Series Joins for Asynchronous High-Throughput Data Streams In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
- Christoph Schranz, Mathias Schmoigl, Felix Strohmeier (2019): From Modelling to Designing: Streaming Network for Multi Tenant Digital Twin Platforms In: ICSNC 2019 : The Fourteenth International Conference on Systems and Networks Communications
- Dietmar Glachs, Georg Güntner, Johannes Innerbichler, Christoph Schranz, Felix Strohmeier (2019): 🔬 Instandhaltung 4.0 zum Anfassen – Labor für innovative Instandhaltungslösungen In: www.dankl.com
- Violeta Damjanovic-Behrendt, Christoph Schranz, Wernher Behrendt (2018): (Smart CPS) Open Source Tools for Smart CPSs and Digital Twins.
- Dietmar Glachs, Georg Güntner, Johannes Innerbichler, Christoph Schranz, Felix Strohmeier (2018): Instandhaltung 4.0 zum Anfassen: Labor für innovative Instandhaltungslösungen. Jahrbuch Instandhaltungstage 2018; ISBN 978-3-7011-8085-1
- Felix Strohmeier, Christoph Schranz, Georg Güntner (2018): i-Maintenance: A Digital Twin for Smart Maintenance In: ERCIM News “Digital Twins”, Nr. 115, S. 12 ff. ERCIM EEIG, France. Okt. 2018.
- Christoph Schranz (2016): Tweaker – Auto Rotation for 3D Printing
- Lucas Höschler, Christina Halmich, Christoph Schranz, Julian Fritz, Saša Čigoja, Martin Ullrich, Anne D. Koelewijn & Hermann Schwameder (): Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network In: Sports Biomechanics
Publications of the person
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