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Results: 80,411
Number of items: 80,411
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Nawada, S. H., Aalbers, T., & Schoenmakers, P. J. (2019). Freeze-thaw valves as a flow control mechanism in spatially complex 3D-printed fluidic devices. Chemical Engineering Science, 207, 1040-1048. https://doi.org/10.1016/j.ces.2019.07.036 -
Gobbo, F., & Wagemans, J. H. M. (2019). Adpositional Argumentation (AdArg): A new method for representing linguistic and pragmatic information about argumentative discourse. In S. Doutre, & T. de Lima (Eds.), JIAF: Journées d’Intelligence Artificielle Fondamentale : PFIA 2019 (pp. 101-107). Association française pour l'Intelligence Artificielle. https://www.irit.fr/pfia2019/wp-content/uploads/2019/07/actes_JIAF_CH_PFIA2019.pdf -
Van Loveren, C. (2019). Sugar restriction for caries prevention: Amount and frequency. Which Is more important? Caries Research, 53(2), 168-175. https://doi.org/10.1159/000489571 -
Kassoti, E. (2019). The EU’s duty of non-recognition and the territorial scope of trade agreements covering unlawfully acquired territories. Europe and the World: A Law Review, 3(1), Article 5. https://doi.org/10.14324/111.444.ewlj.2019.15 -
Xu, Y., Harrison, F. A., Tomsick, J. A., Barret, D., Gandhi, P., García, J. A., Miller, J. M., Uttley, P., & Walton, D. J. (2019). Broadband X-Ray Spectral and Timing Analyses of the Black Hole Binary Candidate Swift J1658.2-4242: Rapid Flux Variation and the Turn-on of a Transient QPO. Astrophysical Journal, 879(2), Article 93. https://doi.org/10.3847/1538-4357/ab24bf -
Diaconu, N., & Worrall, D. (2019). Learning to convolve: A generalized weight-tying approach. Proceedings of Machine Learning Research, 97, 1586-1595. http://proceedings.mlr.press/v97/diaconu19a.html -
Bastings, J., Aziz, W., & Titov, I. (2019). Interpretable Neural Predictions with Differentiable Binary Variables. In A. Korhonen, D. Traum, & L. Màrquez (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp. 2963-2977). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1284 -
van Baarle, D. W., Krylov, S. Y., Beck, M. E. S., & Frenken, J. W. M. (2019). On the Non-trivial Origin of Atomic-Scale Patterns in Friction Force Microscopy. Tribology Letters, 67(1), Article 15. https://doi.org/10.1007/s11249-018-1127-6
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