Search results
Results: 80,394
Number of items: 80,394
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Mishra, P., Del Tredici, M., Yannakoudakis, H., & Shutova, E. (2019). Abusive language detection with graph convolutional networks. In J. Burstein, C. Doran, & T. Solorio (Eds.), The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL HLT 2019 : proceedings of the conference : June 2-June 7, 2019 (Vol. 1, pp. 2145–2150). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1221 -
Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.-J. (2019). A tutorial on Bayes Factor Design Analysis using an informed prior. Behavior Research Methods, 51(3), 1042-1058. https://doi.org/10.3758/s13428-018-01189-8
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Bons, L. R., van den Hoven, A. T., Damirchi, A. E., van der Linde, D., Dekker, S., Kauling, R. M., van de Laar, I. M. B. H., Utens, E. M. W. J., Budde, R. P. J., & Roos-Hesselink, J. W. (2019). Psychological well-being in patients with aneurysms-osteoarthritis syndrome. American Journal of Medical Genetics, Part A, 179(8), 1491-1497. https://doi.org/10.1002/ajmg.a.61209
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Boutin, B. (2019). Shared Responsibility for Cyber Operations. AJIL unbound, 113, 197–201. https://doi.org/10.1017/aju.2019.31
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Kooijman, J. (2019). Why I Too Write About Beyoncé. Celebrity Studies, 10(3), 432-435. https://doi.org/10.1080/19392397.2019.1630158
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Cavicchioli, R., Ripple, W. J., Timmis, K. N., Azam, F., Bakken, L. R., Baylis, M., Behrenfeld, M. J., Boetius, A., Boyd, P. W., Classen, A. T., Crowther, T. W., Danovaro, R., Foreman, C. M., Huisman, J., Hutchins, D. A., Jansson, J. K., Karl, D. M., Koskella, B., Mark Welch, D. B., ... Webster, N. S. (2019). Scientists’ warning to humanity: microorganisms and climate change. Nature Reviews Microbiology, 17(9), 569–586. https://doi.org/10.1038/s41579-019-0222-5
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Abnar, S., Beinborn, L., Choenni, R., & Zuidema, W. (2019). Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. In T. Linzen, G. Chrupała, Y. Belinkov, & D. Hupkes (Eds.), The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy (pp. 191-203). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4820
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van Erp, J., Faure, M., Nollkaemper, A., & Philipsen, N. (2019). Conclusion: Smart mixes in relation to transboundary environmental harm. In J. van Erp, M. Faure, A. Nollkaemper, & N. Philipsen (Eds.), Smart Mixes for Transboundary Environmental Harm (pp. 329-343). (Cambridge Studies on Environment, Energy and Natural Resources Governance). Cambridge University Press. https://doi.org/10.1017/9781108653183.015
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Jakub, Z., Hulva, J., Meier, M., Bliem, R., Kraushofer, F., Setvin, M., Schmid, M., Diebold, U., Franchini, C., & Parkinson, G. S. (2019). Local Structure and Coordination Define Adsorption in a Model Ir1/Fe3O4 Single-Atom Catalyst. Angewandte Chemie - International Edition, 58(39), 13961-13968. https://doi.org/10.1002/anie.201907536
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Baltag, A., Gierasimczuk, N., Özgün, A., Vargas Sandoval, A. L., & Smets, S. (2019). A Dynamic Logic for Learning Theory. Journal of Logical and Algebraic Methods in Programming, 109, Article 100485. https://doi.org/10.1016/j.jlamp.2019.100485
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