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Results: 79,441
Number of items: 79,441
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Leonandya, R., Hupkes, D., Bruni, E., & Kruszewski, G. (2019). The Fast and the Flexible: training neural networks to learn to follow instructions from small data. In S. Dobnik, S. Chatzikyriakidis, & V. Demberg (Eds.), Proceedings of the 13th International Conference on Computational Semantics - Long Papers: IWCS 2019 : 23-27 May, 2019, University of Gothenburg, Gothenburg, Sweden (pp. 223-234). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-0419 -
Groenland, I. C. P. (2019). Related Party Transactions in the Revised Shareholders’ Rights Directive: The EU Perspective and Implementation in National Law. European Company Law, 16(2), 44-49. https://kluwerlawonline.com/journalarticle/European%20Company%20Law/16.2/21292 -
Gray, D. A., Dugar, G., Gamba, P., Strahl, H., Jonker, M. J., & Hamoen, L. W. (2019). Extreme slow growth as alternative strategy to survive deep starvation in bacteria. Nature Communications, 10, Article 890. https://doi.org/10.1038/s41467-019-08719-8 -
Molleman, L., Kurvers, R. H. J. M., & van den Bos, W. (2019). Unleashing the BEAST: a brief measure of human social information use. Evolution and Human Behavior, 40(5), 492-499. https://doi.org/10.1016/j.evolhumbehav.2019.06.005 -
Meijers, M. H. C., Noordewier, M. K., Verlegh, P. W. J., Willems, W., & Smit, E. G. (2019). Paradoxical side effects of green advertising: How purchasing green products may instigate licensing effects for consumers with a weak environmental identity. International Journal of Advertising, 38(8), 1202-1223. https://doi.org/10.1080/02650487.2019.1607450 -
Labrie, N., van Dulmen, S., Kersten, M. J., de Haes, H. J. C. M., Pieterse, A. H., van Weert, J. C. M., van Spronsen, D. J., Smets, E. M. A., & INSTRUCT Group (2019). Effective Information Provision About the Side Effects of Treatment for Malignant Lymphoma: Protocol of a Randomized Controlled Trial Using Video Vignettes. JMIR Research Protocols, 8(5), Article e12453. https://doi.org/10.2196/12453 -
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2019). Modeling distracted performance. Cognitive Psychology, 112, 48-80. https://doi.org/10.1016/j.cogpsych.2019.05.002 -
Patrini, G., van den Berg, R., Forré, P., Carioni, M., Bhargav, S., Welling, M., Genewein, T., & Nielsen, F. (2019). Sinkhorn AutoEncoders. In A. Globerson, & R. Silva (Eds.), Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence: UAI 2019, Tel Aviv, Israel, July 22-25, 2019 Article 253 AUAI Press. https://arxiv.org/abs/1810.01118
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