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15903 Publications


2022 | Book Chapter | LibreCat-ID: 21586
Klein, M., Kundisch, D., & Stummer, C. (2022). Feeless Micropayments and Their Impact on Business Models. In H. Corsten & S. Roth (Eds.), Handbuch Digitalisierung. München: Vahle.
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2022 | Conference Paper | LibreCat-ID: 24579
Müller, M., Neumann, J., & Kundisch, D. (n.d.). Dear Guests, please pay for my license – Analyzing the heterogenous cost-pass-through of commercial and non-commercial rental suppliers in response to regulatory policies. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS). Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA.
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2022 | Conference Paper | LibreCat-ID: 24581
Seutter, J., Müller, M., Müller, S. J. M., & Kundisch, D. (n.d.). Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS). Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA.
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2021 | Journal Article | LibreCat-ID: 20683
Feldkord, B., Knollmann, T., Malatyali, M., & Meyer auf der Heide, F. (n.d.). Managing Multiple Mobile Resources. Theory of Computing Systems. https://doi.org/10.1007/s00224-020-10023-8
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 21004
Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 21092
Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (n.d.). Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.
LibreCat
 

2021 | Conference Paper | LibreCat-ID: 21198
Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021). Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Presented at the The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India.
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2021 | Journal Article | LibreCat-ID: 5163
Uhde, A. (2021). Tax avoidance through securitization. The Quarterly Review of Economics and Finance, 79, 411–421. https://doi.org/10.1016/j.qref.2020.07.008
LibreCat | DOI
 

2021 | Journal Article | LibreCat-ID: 21232
Itner, D., Gravenkamp, H., Dreiling, D., Feldmann, N., & Henning, B. (2021). Efficient semi-analytical simulation of elastic guided waves in cylinders subject to arbitrary non-symmetric loads. Ultrasonics. https://doi.org/10.1016/j.ultras.2021.106389
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2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark. IEEE Transactions on Energy Conversion, 1–1. https://doi.org/10.1109/tec.2021.3052546
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