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Patrick, M., Asano, Y. M., Kuznetsova, P., Fong, R., Henriques, J. F., Zweig, G., & Vedaldi, A. (2021). On Compositions of Transformations in Contrastive Self-Supervised Learning. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 9557-9567). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00944 -
Vezoli, J., Vinck, M., Bosman, C. A., Bastos, A. M., Lewis, C. M., Kennedy, H., & Fries, P. (2021). Brain rhythms define distinct interaction networks with differential dependence on anatomy. Neuron, 109(23), 3862-3878.e5. https://doi.org/10.1016/j.neuron.2021.09.052 -
Vedaraman, S., Bernhagen, D., Haraszti, T., Licht, C., Nava, A. C., Anarkoli, A. O., Timmerman, P., & De Laporte, L. (2021). Bicyclic RGD peptides enhance nerve growth in synthetic PEG-based Anisogels. Biomaterials Science, 9(12), 4329-4342. https://doi.org/10.1039/d0bm02051f -
Aad, G., & ATLAS Collaboration (2021). Longitudinal Flow Decorrelations in Xe + Xe Collisions at √sNN = 5.44 TeV with the ATLAS Detector. Physical Review Letters, 126(12), Article 122301. https://doi.org/10.1103/PhysRevLett.126.122301 -
Montargès, M., Cannon, E., Lagadec, E., de Koter, A., Kervella, P., Sanchez-Bermudez, J., Paladini, C., Cantalloube, F., Decin, L., Scicluna, P., Kravchenko, K., Dupree, A. K., Ridgway, S., Wittkowski, M., Anugu, N., Norris, R., Rau, G., Perrin, G., Chiavassa, A., ... Danchi, W. (2021). A dusty veil shading Betelgeuse during its Great Dimming. Nature, 594(7863), 365-368. https://doi.org/10.1038/s41586-021-03546-8 -
Hauser, L. T., Feret, J.-B., An Binh, N., van der Windt, N., Sil, Â. F., Timmermans, J., Soudzilovskaia, N. A., & van Bodegom, P. M. (2021). Towards scalable estimation of plant functional diversity from Sentinel-2: In-situ validation in a heterogeneous (semi-)natural landscape. Remote Sensing of the Environment, 262, Article 112505. https://doi.org/10.1016/j.rse.2021.112505 -
Li, D., Ren, Z., & Kanoulas, E. (2021). CrowdGP: A Gaussian process model for inferring relevance from crowd annotations. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 1821-1832). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450047 -
Boekhout, T., Aime, M. C., Begerow, D., Gabaldón, T., Heitman, J., Kemler, M., Khayhan, K., Lachance, M.-A., Louis, E. J., Sun, S., Vu, D., & Yurkov, A. (2021). The evolving species concepts used for yeasts: from phenotypes and genomes to speciation networks. Fungal Diversity, 109, 27-55. https://doi.org/10.1007/s13225-021-00475-9
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