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Wittner, R., Holub, P., Müller, H., Geiger, J., Goble, C., Soiland-Reyes, S., Pireddu, L., Frexia, F., Mascia, C., Fairweather, E., Swedlow, J. R., Moore, J., Strambio, C., Grunwald, D., & Nakae, H. (2021). ISO 23494: Biotechnology – Provenance Information Model for Biological Specimen And Data. In B. Glavic, V. Braganholo, & D. Koop (Eds.), Provenance and Annotation of Data and Processes: 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, virtual event, July 19–22, 2021 : proceedings (pp. 222-225). (Lecture Notes in Computer Science; Vol. 12839). Springer. https://doi.org/10.5281/zenodo.5004842, https://doi.org/10.1007/978-3-030-80960-7_16 -
Brown, J. M., van Loon, E. E., Bouten, W., Camphuysen, K. C. J., Lens, L., Müller, W., Thaxter, C. B., & Shamoun-Baranes, J. (2021). Long-distance migrants vary migratory behaviour as much as short-distance migrants: An individual-level comparison from a seabird species with diverse migration strategies. Journal of Animal Ecology, 90(5), 1058-1070. https://doi.org/10.1111/1365-2656.13431 -
Gantner, G., & Stevenson, R. (2021). Further results on a space-time FOSLS formulation of parabolic PDEs. ESAIM: Mathematical Modelling and Numerical Analysis, 55(1), 283-299. https://doi.org/10.1051/m2an/2020084 -
Zhang, F., Li, Y., You, S., & Fu, Y. (2021). Learning Temporal Consistency for Low Light Video Enhancement From Single Images. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 4965-4974). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/CVPR46437.2021.00493 -
Xiao, Z., Shen, J., Zhen, X., Shao, L., & Snoek, C. G. M. (2021). A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. Proceedings of Machine Learning Research, 139, 11351-11361. https://proceedings.mlr.press/v139/xiao21a.html -
Suter, J. L., & Coveney, P. V. (2021). Principles governing control of aggregation and dispersion of aqueous graphene oxide. Scientific Reports, 11, Article 22460. https://doi.org/10.1038/s41598-021-01626-3 -
XENON Collaboration, Aprile, E., Angevaare, J. R., Bruenner, S., Colijn, A. P., Decowski, M. P., & Gaemers, P. (2021). 222Rn emanation measurements for the XENON1T experiment. European Physical Journal C, 81(4), Article 337. https://doi.org/10.1140/epjc/s10052-020-08777-z -
Cremer, C., Goswami, M., Rank, C. K., de Bruin, B., & Patureau, F. W. (2021). Tellur(II)/Tellur(III)-katalysierte dehydrierende C-N-Bindungsbildung. Angewandte Chemie, 133(12), 6525-6530. https://doi.org/10.1002/ange.202015248, https://doi.org/10.1002/anie.202015248 -
Karbovskii, V., Lees, M., Presbitero, A., Kurilkin, A., Voloshin, D., Derevitskii, I., Karsakov, A., & Sloot, P. M. A. (2021). Ensemble learning for large-scale crowd flow prediction. Engineering Applications of Artificial Intelligence, 106, Article 104469. https://doi.org/10.1016/j.engappai.2021.104469 -
Cui, Z., Qi, G.-J., Gu, L., You, S., Zhang, Z., & Harada, T. (2021). Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 2533-2542). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00255
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