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33 Publications


2023 | Journal Article | LibreCat-ID: 48063
P. Arias-Cabarcos, M. Fallahi, T. Habrich, K. Schulze, C. Becker, and T. Strufe, “Performance and Usability Evaluation of Brainwave Authentication Techniques with Consumer Devices,” ACM Transactions on Privacy and Security, vol. 26, no. 3, pp. 1–36, 2023, doi: 10.1145/3579356.
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2023 | Journal Article | LibreCat-ID: 48058
F. Winkel, J. Deuse-Kleinsteuber, and J. Böcker, “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning,” IEEE Transactions on Reliability, pp. 1–14, 2023, doi: 10.1109/tr.2023.3255786.
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2023 | Journal Article | LibreCat-ID: 49309
C. Burs, “A model of cycles and bubbles under heterogeneous beliefs in financial markets,” Cogent Economics & Finance, vol. 11, no. 2, 2023, doi: 10.1080/23322039.2023.2272485.
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2023 | Conference Paper | LibreCat-ID: 37312 | OA
D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii International Conference on System Sciences, 2023.
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2023 | Conference Paper | LibreCat-ID: 50121
D. Leffrang, “AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization,” in International Conference on Information Systems, Hyderabad, India, 2023, no. 10.
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2023 | Conference Paper | LibreCat-ID: 50118
D. Leffrang, “The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization,” in Wirtschaftsinformatik Conference, Paderborn, 2023, no. 19.
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2023 | Conference Paper | LibreCat-ID: 49785 | OA
S. Hemmrich, “Business Reputation Systems based on Blockchain Technology—A Risky Advance,” Kristiansand, 2023.
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2022 | Journal Article | LibreCat-ID: 31844
A. Fischer, B. Fuhry, J. Kußmaul, J. Janneck, F. Kerschbaum, and E. Bodden, “Computation on Encrypted Data Using Dataflow Authentication,” ACM Transactions on Privacy and Security, vol. 25, no. 3, pp. 1–36, 2022, doi: 10.1145/3513005.
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2022 | Journal Article | LibreCat-ID: 35992
S. Letmathe, Y. Feng, and A. Uhde, “Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall,” Journal of Risk, vol. 25, no. 2.
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2022 | Working Paper | LibreCat-ID: 49308
C. Burs and T. Gries, Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules, vol. No. 149. Paderborn University, CIE Center for International Economics, 2022.
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