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Zeitschriftenartikel:

1.
Gierend, K.; Krüger, F.; Waltemath, D.; Fünfgeld, M.; Zeleke, A. A.; Ganslandt, T.:
Approaches and Criteria for Provenance in Biomedical Data Sets and Workflows: a Scoping Review Protocol. In: JMIR Research Protocols (9/2021)
doi:10.2196/31750
2.
Steiner, S.; Kühn, V.; Stark, M.; Bauch, G.:
Reduced-Complexity Optimization of Distributed Quantization using the Information Bottleneck Principle. In: IEEE Open Journal of the Communications Society (5/2021)
ISSN: 2644-125X, doi:10.1109/OJCOMS.2021.3083569
3.
Büscher, N.; Gis, D.; Kühn, V.; Haubelt, C.:
On the Functional and Extra-Functional Properties of IMU Fusion Algorithms for Body-Worn Smart Sensors. In: Sensors, Bd. 21, Nr. 8 (4/2021)
ISSN: 1424-8220, doi:10.3390/s21082747
4.
Damaschke, N.; Kühn, V.; Nobach, H.:
Bias correction for direct spectral estimation from irregularly sampled data including sampling schemes with correlation. In: EURASIP Journal on Advances in Signal Processing (1/2021)
doi:10.1186/s13634-020-00712-4

Beiträge zu Sammlungen:

5.
Al-Suadi, S.; Krüger, F.:
Redaktionskritik reconsidered. Al-Suadi, S.; Ulshöfer, G. (Hrsg.): Biblical Texts in Digitalization., Tübingen University Press, 2021
doi:10.15496/publikation-48536

Konferenzbeiträge:

6.
Schindler, D.; Bensmann, F.; Dietze, S.; Krüger, F.:
SoMeSci - A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21), Virtual Event, QLD, Australia, 2021, accepted
7.
Steiner, S.; Kühn, V.; Stark, M.; Bauch, G.:
Reduced-Complexity Greedy Distributed Information Bottleneck Algorithm. IEEE Statistical Signal Processing Workshop (SSP), Rio de Janeiro, Brazil, 2021, accepted
8.
Steiner, S.; Kühn, V.:
Distributed Compression using the Information Bottleneck Principle. IEEE International Conference on Communications (ICC 2021), 2021, accepted