Search results
Results: 80,477
Number of items: 80,477
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Schnuerch, M., Haaf, J. M., Sarafoglou, A., & Rouder, J. N. (2022). Meaningful Comparisons With Ordinal-Scale Items. Collabra: Psychology, 8, Article 38594. https://doi.org/10.1525/collabra.38594 -
The ATLAS Collaboration (2022). Operation and performance of the ATLAS semiconductor tracker in LHC Run 2. Journal of Instrumentation, 17(01), Article P01013. https://doi.org/10.1088/1748-0221/17/01/P01013
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Hameleers, M., Brosius, A., Marquart, F., Goldberg, A. C., van Elsas, E., & de Vreese, C. H. (2022). Mistake or manipulation? Conceptualizing perceived mis- and disinformation among news consumers in 10 European countries. Communication Research, 49(7), 919-941. https://doi.org/10.1177/0093650221997719
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van Eechoud, M., & Schumacher, L. (2022). Data na de dood: Zwevend tussen contract en gegevensbescherming. Nederlands Juristenblad, 97(6), 396-405. Article 355. http://deeplinking.kluwer.nl/?param=00DA5684&cpid=WKNL-LTR-Nav2
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Kuhns, L., & Kroon, E. (2022). The need to calibrate standardized cannabis measurements across cultures. Addiction, 117(6), 1518-1519. https://doi.org/10.1111/add.15744
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Lucic, A., Bleeker, M., Jullien, S., Bhargav, S., & de Rijke, M. (2022). Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. 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. 11, pp. 12792-12800). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21558
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Kranstauber, B., Bouten, W., van Gasteren, H., & Shamoun-Baranes, J. (2022). Ensemble predictions are essential for accurate bird migration forecasts for conservation and flight safety. Ecological solutions and evidence, 3(3), Article e12158. https://doi.org/10.1002/2688-8319.12158
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Menzel, J. P., Boeije, Y., Bakker, T. M. A., Belić, J., Reek, J. N. H., de Groot, H. J. M., Visscher, L., & Buda, F. (2022). In Silico Optimization of Charge Separating Dyes for Solar Energy Conversion. ChemSusChem, 15(15), Article e202200594. https://doi.org/10.1002/cssc.202200594
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Sun, Q. J., Vo, K., Lui, K., Nunez, M., Vandekerckhove, J., & Srinivasan, R. (2022). Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. In 2022 International Joint Conference on Neural Networks (IJCNN): 2022 conference proceedings (pp. 5258-5266). IEEE. https://doi.org/10.1109/IJCNN55064.2022.9892272
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