Christian Maier, BSc MSc
| Position: | Data Scientist |
| Department: | Intelligent Connectivity |
| Telephon: | +43/662/2288-457 |
| E-Mail: | Send an e-mail |
- Stefan Farthofer, Matthias Herlich, Christian Mier, Sabrian Pochaba, Julia Lackner, and Peter Dorfinger (2022): An Open Mobile Communications Drive Test Data Set and Its Use for Machine Learning. In: IEEE Open Journal of the Communications Society, vol. 3, pp. 1688-1701, 2022.
- Martin Happ, Jia Lei Du, Matthias Herlich, Christian Maier, Peter Dorfinger and José Suárez-Varela (2022): Exploring the Limitations of Current Graph Neural Networks for Network Modeling. In: Proceedings of the IEEE/IFIP Network Operations and Management Symposium.
- Christian Maier, Jia Lei Du, Stefan Fahrthofer, Peter Dorfinger (2021): An Architecture for Detection of Anomalies in Deterministic Time within Real-Time Communication Networks. In: CORETA 2021: Advances on Core Technologies and Applications.
- José Suárez-Varela, Miquel Ferriol-Galmés, Albert López , Paul Almasan , Guillermo Bernárdez , David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio (2021): The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. In: ACM SIGCOMM Computer Communication Review, Vol. 51, No. 3
- Christian Maier, Jia Lei Du, Martin Happ, Matthias Herlich, Peter Dorfinger (2021): Graph-neural-network-based delay estimation for communication networks with heterogeneous scheduling policies. In: ITU Journal on Future and Evolving Technologies, Vol. 2, No. 4.
- M. Herlich, C. Maier (2021): Measuring and Monitoring Reliability of Wireless Networks. In: IEEE Communications Magazine, vol. 59, no. 1, pp. 76-81, January 2021
- Christian Maier, Matthias Herlich (2020): Adaptive Wireless Reliability Measurements. In: 2020 Network Traffic Measurement and Analysis Conference (TMA) Lightning Talk.
- Christian Maier, Peter Dorfinger, Jia Lei Du, Sven Gschweitl, Johannes Lusak (2019): Reducing Consumed Data Volume in Bandwidth Measurements via a Machine Learning Approach In: 2019 Network Traffic Measurement and Analysis Conference (TMA), Paris, France, 2019, pp. 215-220.
- Matthias Herlich, Christian Maier, Peter Dorfinger (2018): A Black Box Measurement Method for Reliability of Wireless Communication. In: EM-5G’18: Workshop on Experimentation and Measurements in 5G, December 4, 2018, Heraklion, Greece. ACM, New York, NY, USA, 6 pages.
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