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Results: 57,892
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  • Vrijenhoek, S., Bénédict, G., Gutierrez Granada, M., Odijk, D., & de Rijke, M. (2022). RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. In RecSys' 22: Proceedings of the Sixteenth ACM Conference on Recommender Systems : Seattle, WA, USA, September 18-23, 2022 (pp. 208-219). Association for Computing Machinery. https://doi.org/10.1145/3523227.3546780
  • Geradts, Z. (2022). Foreword. In N.-A. Le-Khac, & K.-KR. Choo (Eds.), A Practical Hands-on Approach to Database Forensics (pp. v). (Studies in Big Data; Vol. 116). Springer. https://doi.org/10.1007/978-3-031-16127-8
  • Bacon, C. D., Silvestro, D., Hoorn, C., Bogotá-Ángel, G., Antonelli, A., & Chazot, N. (2022). The origin of modern patterns of continental diversity in Mauritiinae palms: the Neotropical museum and the Afrotropical graveyard. Biology Letters, 18(11), Article 20220214. https://doi.org/10.1098/rsbl.2022.0214
  • Aguirre‐Gutiérrez, J., Berenguer, E., Oliveras Menor, I., Bauman, D., Corral-Rivas, J. J., Nava-Miranda, M. G., Both, S., Ndong, J. E., Evouna Ondo, F., N’ssi Bengone, N., Mihinhou, V., Dalling, J. W., Heineman, K., Figueiredo, A., González-M, R., Norden, N., Hurtado-M, A. B., González, D., Salgado-Negret, B., ... Malhi, Y. (2022). Functional susceptibility of tropical forests to climate change. Nature Ecology and Evolution, 6(7), 878-889. https://doi.org/10.1038/s41559-022-01747-6
  • Christianen, M. J. A., Smulders, F. O. H., Vonk, J. A., Becking, L. E., Bouma, T. J., Engel, S. M., James, R. K., de Smit, J. C., van der Zee, J. P., Palsbøll, P. J., & Bakker, E. S. (2022). Data underlying publication: Seagrass ecosystem multifunctionality under the rise of a flagship marine megaherbivore [Data set]. 4TU.ResearchData. https://doi.org/10.4121/21214229.v1
  • Scheffler, M., Aeschlimann, M., Albrecht, M., Bereau, T., Bungartz, H.-J., Felser, C., Greiner, M., Groß, A., Koch, C. T., Kremer, K., Nagel, W. E., Scheidgen, M., Wöll, C., & Draxl, C. (2022). FAIR data enabling new horizons for materials research. Nature, 604(7907), 635-642. https://doi.org/10.1038/s41586-022-04501-x
  • Laposchan, S., Kranenburg, R. F., & van Asten, A. C. (2022). Impurities, adulterants and cutting agents in cocaine as potential candidates for retrospective mining of GC-MS data. Science and Justice, 62(1), 60-75. https://doi.org/10.1016/j.scijus.2021.11.004
  • Open Access
    Vetsch, M., Lombardi, S., Pollefeys, M., & Oswald, M. R. (2022). NeuralMeshing: Differentiable Meshing of Implicit Neural Representations. In B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlücke, & I. Ihrke (Eds.), Pattern Recognition: 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27–30, 2022 : proceedings (pp. 317-333). (Lecture Notes in Computer Science; Vol. 13485). Springer. https://doi.org/10.48550/arXiv.2210.02382, https://doi.org/10.1007/978-3-031-16788-1_20
  • Zhao, M., Yang, Y., Li, M., Wang, J., Wu, W., Ren, P., de Rijke, M., & Ren, Z. (2022). Personalized Abstractive Opinion Tagging. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 1066 -1076). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3532037
  • Open Access
    Pei, J., Wang, C., & Szarvas, G. (2022). Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. In K. Sycara, V. Honavar, & M. Spaan (Eds.), Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI-22 : virtual conference, Vancouver, Canada, February 22-March 1, 2022 (Vol. 10, pp. 11147-11155). AAAI Press. https://doi.org/10.48550/arXiv.2112.13776, https://doi.org/10.1609/aaai.v36i10.21364
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