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Kowalchuk, M. A., Gupta, S., & Awasthi, N. (2024). Applying pre-trained deep learning models for Multi-Label Classification of Realistic and Noisy Electrocardiogram Images. Computing in Cardiology, 51. https://doi.org/10.22489/cinc.2024.496 -
Claij-Swart, J., Mattijssen, L., & van Gaalen, R. (2024). Woningbezit en arbeidsmarktpositie. (Statistische trends). Centraal Bureau voor de Statistiek. https://www.cbs.nl/nl-nl/longread/statistische-trends/2024/woningbezit-en-arbeidsmarktpositie -
ATLAS Collaboration (2024). Measurement of the total and differential cross-sections of tt̅W production in pp collisions at √s = 13 TeV with the ATLAS detector. Journal of High Energy Physics, 2024( 5), Article 131. https://doi.org/10.1007/JHEP05(2024)131 -
Rateike, M., Valera, I., & Forré, P. (2024). Designing Long-term Group Fair Policies in Dynamical Systems. In ACM FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil (pp. 20–50). The Association for Computing Machinery. https://doi.org/10.1145/3630106.3658538 -
Drace-Francis, A. (2024). The Balkans and Ruritania. In P. Rau, & W. T. Rossiter (Eds.), Europe in British Literature and Culture (pp. 100-115). (Cambridge Themes in British Literature and Culture). Cambridge University Press. https://doi.org/10.1017/9781009425483.009 -
Stevenson, R. (2024). A Convenient Inclusion of Inhomogeneous Boundary Conditions in Minimal Residual Methods. Computational methods in applied mathematics, 24(4), 983-994. https://doi.org/10.1515/cmam-2023-0072 -
Forceville, C. (2024). [Review of: C. Henderson (2023) A Book of Noises: Notes on the Auraculous]. Leonardo, 57(2), 232–233. https://doi.org/10.1162/leon_r_02504 -
The DUNE collaboration (2024). The DUNE Far Detector Vertical Drift Technology. Technical Design Report. Journal of Instrumentation, 19(8), Article T08004. https://doi.org/10.1088/1748-0221/19/08/T08004 -
Shaikh, S. J., & Moran, R. E. (2024). Recognize the bias? News media partisanship shapes the coverage of facial recognition technology in the United States. New Media and Society, 26(5), 2829-2850. https://doi.org/10.1177/14614448221090916
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