Boris Düdder
Lektor
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Event-based data-centric semantics for consistent data management in microservices
Zuckmantel, Tilman, Duedder, Boris, Zhou, Yongluan & Hildebrandt, Thomas Troels, 2022, DEBS '22: Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems. Association for Computing Machinery, s. 97-102Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Co-design of a trustworthy AI system in healthcare: Deep learning based skin lesion classifier
Zicari, R. V., Ahmed, S., Amann, J., Braun, S. A., Brodersen, J., Bruneault, F., Brusseau, J., Campano, E., Coffee, M., Dengel, A., Düdder, B., Gallucci, A., Gilbert, T. K., Gottfrois, P., Goffi, E., Haase, C. B., Hagendorff, T., Hickman, E., Hildt, E., Holm, S. & 15 flere, , jul. 2021, I: Frontiers in Human Dynamics . 3, 20 s., 688152.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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On assessing trustworthy AI in healthcare: Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Zicari, R. V., Brusseau, J., Blomberg, S. N., Christensen, H. C., Coffee, M., Ganapini, M. B., Gerke, S., Gilbert, T. K., Hickman, E., Hildt, E., Holm, S., Kühne, U., Madai, V. I., Osika, W., Spezzatti, A., Schnebel, E., Tithi, J. J., Vetter, D., Westerlund, M., Wurth, R. & 20 flere, , jul. 2021, I: Frontiers in Human Dynamics . 3, 24 s., 673104.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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How to Assess Trustworthy AI in Practice
Zicari, R. V., Amann, J., Bruneault, F., Coffee, M., Duedder, Boris, Gallucci, A., Gilbert, T. K., Hagendorff, T., Halem, I. V., Hickman, E., Hildt, E., Holm, Sune Hannibal, Kararigas, G., Kringen, P., Madai, V. I., Mathez, E. W., Tithi, J. J., Vetter, D., Westerlund, M. & Wurth, R., 20 jun. 2022, arxiv.org, 52 s.Publikation: Working paper › Preprint › Forskning
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Z-Inspection®: A Process to Assess Trustworthy AI
Zicari, R. V., Brodersen, John Brandt, Brusseau, J., Duedder, Boris, Eichhorn, T., Ivanov, T., Kararigas, G., Kringen, P., McCullough, M., Moslein, F., Mushtaq, N., Roig, G., Sturtz, N., Tolle, K., Tithi, J. J., Halem, I. V. & Westerlund, M., 2021, I: IEEE Transactions on Technology and Society. 2, 2, s. 83 - 97 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Poster: Unanimous-Majority - Pushing Blockchain Sharding Throughput to its Limit
Xu, Yibin, Slaats, Tijs & Duedder, Boris, 7 nov. 2022, CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery (ACM), s. 3495–3497Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Adding Generic Role- and Process-based Behaviors to Smart Contracts using Dynamic Condition Response Graphs
Xu, Yibin, Slaats, Tijs, Duedder, Boris & Hildebrandt, Thomas Troels, maj 2023, 2023 IEEE/ACM International Conference on Software and System Processes (ICSSP). IEEE, s. 70-80Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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A Two-Layer Blockchain Sharding Protocol Leveraging Safety and Liveness for Enhanced Performance
Xu, Yibin, Zheng, J., Duedder, Boris, Slaats, Tijs & Zhou, Yongluan, 26 feb. 2024, Network and Distributed System Security (NDSS) Symposium 2024.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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MWPoW+: a strong consensus protocol for intra-shard consensus in blockchain sharding
Xu, Yibin, Shao, J., Slaats, Tijs & Duedder, Boris, 2023, I: ACM Transactions on Internet Technology. 23, 2, s. 1-27 34.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 172785813
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On assessing trustworthy AI in healthcare: Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls
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Interdisciplinary Blockchain Education: Utilizing Blockchain Technology From Various Perspectives
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Co-design of a trustworthy AI system in healthcare: Deep learning based skin lesion classifier
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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