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Plass, J. and Zickau, S. (2019). PARADISE - Wie Ortungstechnologien den Datenschutz im Anti-Doping verbessern können. Kritik des Anti-Doping - Eine konstruktive Auseinandersetzung zu Methoden und Strategien im Kampf gegen Doping. transcript Verlag, 131-157.

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Plass, J. and Zickau, S. (2019). PARADISE - Wie Ortungstechnologien den Datenschutz im Anti-Doping verbessern können. Kritik des Anti-Doping - Eine konstruktive Auseinandersetzung zu Methoden und Strategien im Kampf gegen Doping. Nils Zurawski, Marcel Scharf, 131-157.

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Neidhardt, E. and Uzun, A. and Bareth, U. and Küpper, A. (2013). Estimating Locations and Coverage Areas of Mobile Network Cells based on Crowdsourced Data. Proceedings of the 6th Joint IFIP Wireless and Mobile Networking Conference. IEEE, 1-8.

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Müller, M. and Ostern, N. and Rodriguez Garzon, S. and Küpper, A. (2021). Trust models for Next-generation Blockchain Ecosystems. EAI/Springer.


Müller, M. and Rodriguez Garzon, S. and Westerkamp, M. and Lux, Z. (2019). HIDALS: A Hybrid IoT-based Decentralized Application for Logistics and Supply Chain Management. 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEEE IEMCON 2019)


Müller, M. and Rodriguez Garzon, S. (2019). Blockchain-based Trusted Cross-organizationalDeliveries of Sensor-equipped Parcel. Workshop on Future Perspectives of Decentralized Applications at Euro-Par 2019 (FPDAPP 2019)(accepted for publication)


Müller, M. and Ostern, N. and Koljada, D. and Grunert, K. and Rosemann, M. and Küpper, A. (2021). Trust Mining: Analyzing Trust in Collaborative Business Processes. IEEE Access, 1-1.


Müller, M. and Ruppel, P. (2019). Process Mining for Decentralized Applications. Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON 2019)(accepted for publication)


Motta, M. and Hagemann, T. and Fischer, S. and Assion, F. (2021). EvolMusic: Towards Musical Adversarial Examples for Black-Box Attacks on Speech-To-Text. 2021 Genetic and Evolutionary Computation Conference Companion (GECCO ’21 Companion), accepted for publication


Martens, J. and Treu, G. and Ruppel, P. and Weiss, D. and Küpper, A. and Linnhoff-Popien, C. (2006). Eine Plattform zur Unterstützung von proaktiven ortsbezogenen Mehrbenutzer-Anwendungen. Tagungsband zum 3. GI/ITG KuVS Fachgespräch zu Ortsbezogene Anwendungen und Diensten


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Lüders, B. and Ruppel, P. (2018). Macroscopic Patterns in Sparse Location Data: Identifying Mobility Prototypes. Proceedings of the 4th IEEE International Conference on Big Data Service and Applications (BigDataService 2018)


Lux, Z. A., Thatmann, D., Zickau, S. and Beierle, F. (2020). Distributed-Ledger-based Authentication with Decentralized Identifiers and Verifiable Credentials. 2nd conference on Blockchain Research and Applications for Innovative Networks and Services (BRAINS'20), 71-78.

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Lux, Z. A. and Beierle, F. and Zickau, S. and Göndör, S. (2019). Full-text Search for Verifiable Credential Schemas on Distributed Ledgers. Proceedings of the International Symposium on Blockchain Computing and Applications (BCCA 2019). IEEE, 519–528.

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Lorbeer, B. and Kosareva, A. and Deva, B. and Softić, Dvzenan and Ruppel, P. and Küpper, Axel (2016). A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm. A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm. Springer, 169–178.

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Lorbeer, B. and Kosareva, A. and Deva, B. and Softić, Dvzenan and Ruppel, P. and Küpper, Axel (2016). A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm. A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm. Springer, 169–178.

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