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776 Publications
2020 | Journal Article | LibreCat-ID: 20233 | 
V. Myroshnychenko, S. Smirnov, P. M. M. Jose, C. Brosseau, and J. Förstner, “Nonlinear dielectric properties of random paraelectric-dielectric composites,” Acta Materialia, vol. 203, p. 116432, 2020.
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2020 | Journal Article | LibreCat-ID: 21239
S. K. Sahoo, J. J. Heske, M. Antonietti, Q. Qin, M. Oschatz, and T. Kühne, “Electrochemical N2 Reduction to Ammonia Using Single Au/Fe Atoms Supported on Nitrogen-Doped Porous Carbon,” ACS Applied Energy Materials, vol. 3, no. 10, pp. 10061–10069, 2020.
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2020 | Mastersthesis | LibreCat-ID: 21324
K. Chandrakar, Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis. 2020.
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2020 | Conference Paper | LibreCat-ID: 21534
V. Bengs and E. Hüllermeier, “Preselection Bandits,” in International Conference on Machine Learning, 2020, pp. 778–787.
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2020 | Preprint | LibreCat-ID: 21536
V. Bengs and E. Hüllermeier, “Multi-Armed Bandits with Censored Consumption of Resources,” arXiv:2011.00813. 2020.
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2020 | Conference Paper | LibreCat-ID: 21541
S. Lange, D. Schroder, C. Hedayat, C. Hangmann, T. Otto, and U. Hilleringmann, “Investigation of the Surface Equivalence Principle on a Metal Surface for a Near-Field to Far-Field Transformation by the NFS3000,” in 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, Rome, Italy , 2020.
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2020 | Book Chapter | LibreCat-ID: 21542
D. Schröder, S. Lange, C. Hangmann, and C. Hedayat, “Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs,” in Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis, 1st ed., Croyton, UK: The Institution of Engineering and Technology (IET), 2020, pp. 315-346 (32).
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2020 | Conference Paper | LibreCat-ID: 17407
A. Tornede, M. D. Wever, and E. Hüllermeier, “Extreme Algorithm Selection with Dyadic Feature Representation,” presented at the Discovery Science 2020, 2020.
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2020 | Conference Paper | LibreCat-ID: 17408
J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Hybrid Ranking and Regression for Algorithm Selection,” presented at the 43rd German Conference on Artificial Intelligence, 2020.
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