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Results: 217,645
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van Langelaar, J., Rijvers, L., Janssen, M., Wierenga-Wolf, A. F., Melief, M.-J., Siepman, T. A., de Vries, H. E., Unger, P.-PA., van Ham, S. M., Hintzen, R. Q., & van Luijn, M. M. (2019). Induction of brain-infiltrating T-bet-expressing B cells in multiple sclerosis. Annals of Neurology, 86(2), 264-278. https://doi.org/10.1002/ana.25508 -
Xie, X., Mao, J., Liu, Y., de Rijke, M., Shao, Y., Ye, Z., Zhang, M., & Ma, S. (2019). Grid-based Evaluation Metrics for Web Image Search. In The Web Conference 2019: proceedings of the World Wide Web Conference WWW 2019 : May 13-17, 2019, San Francisco, CA, USA (pp. 2103–2114). Association for Computing Machinery. https://doi.org/10.1145/3308558.3313514 -
Wang, B., Titov, I., & Lapata, M. (2019). Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. In K. Inui, J. Jiang, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp. 3774-3785). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1391 -
Tomczak, J. M., & Węglarz-Tomczak, E. (2019). Estimating kinetic constants in the Michaelis-Menten model from one enzymatic assay using Approximate Bayesian Computation. FEBS Letters, 593(19), 2742-2750. https://doi.org/10.1002/1873-3468.13531 -
Chung, S. S., & Corboz, P. (2019). SU(3) fermions on the honeycomb lattice at 1/3 filling. Physical Review B, 100(3), Article 035134. https://doi.org/10.1103/PhysRevB.100.035134 -
Root, N. B., Dobkins, K., Ramachandran, V. S., & Rouw, R. (2019). Echoes from the past: synaesthetic colour associations reflect childhood gender stereotypes. Philosophical Transactions of the Royal Society B - Biological Sciences, 374(1787), Article 20180572. https://doi.org/10.1098/rstb.2018.0572 -
Bolt, W., Mavromatis, K., & van Wijnbergen, S. (2019). The Global Macroeconomics of a Trade War: the EAGLE model on the US-China Trade Conflict. (Discussion Paper Series; No. DP13495). CEPR. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=13495 -
Melnyk, V., van Herpen, E., Jak, S., & van Trijp, H. C. M. (2019). The mechanisms of social norms’ influence on consumer decision making: A Meta-analysis. Zeitschrift für Psychologie, 227(1), 4-17. https://doi.org/10.1027/2151-2604/a000352
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