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12125 Publications


2020 | Journal Article | LibreCat-ID: 17382
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, MDPI AG, 2020, p. 39, doi:10.3390/computation8020039.
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2020 | Journal Article | LibreCat-ID: 12878
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 

2020 | Journal Article | LibreCat-ID: 17862
Schlangenotto, Darius, et al. “Against All Odds: Tentative Steps Toward Efficient Information Sharing in Groups.” Games.
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2020 | Journal Article | LibreCat-ID: 16725
Richter, Cedric, et al. “Algorithm Selection for Software Validation Based on Graph Kernels.” Journal of Automated Software Engineering, Springer.
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2020 | Bachelorsthesis | LibreCat-ID: 18648
Guggenmos, Andreas. Algorithmen Für Selbststabilisierende Skip+-Delaunaygraphen. 2020.
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2020 | Journal Article | LibreCat-ID: 17390
Chantakit, Teanchai, et al. “All-Dielectric Silicon Metalens for Two-Dimensional Particle Manipulation in Optical Tweezers.” Photonics Research, vol. 8, no. 9, OSA, 2020, pp. 1435–40, doi:10.1364/prj.389200.
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2020 | Journal Article | LibreCat-ID: 16301
Atorf, Bernhard, et al. “All-Optical Switching of a Dye-Doped Liquid Crystal Plasmonic Metasurface.” Optics Express, vol. 28, no. 6, 2020, pp. 8898–908, doi:10.1364/oe.383877.
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2020 | Conference Paper | LibreCat-ID: 17063
Hansmeier, Tim, et al. “An Adaption Mechanism for the Error Threshold of XCSF.” GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2020.
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2020 | Conference Paper | LibreCat-ID: 19632
Jovanovikj, Ivan, et al. “An Augmented and Virtual Reality Object Repository for Rapid Prototyping (to Appear).” Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20), 2020.
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2020 | Preprint | LibreCat-ID: 16867
Gebken, Bennet, and Sebastian Peitz. “An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems.” ArXiv:2004.11578, 2020.
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