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Kragten, M., & Bredeweg, B. (2024). The effectiveness of lightweight automated support for learning about dynamic systems with qualitative representations. In The 39th Annual ACM Symposium on Applied Computing: April 8-April 12, 2024 (pp. 11-20). Association for Computing Machinery. https://doi.org/10.1145/3605098.3635950 -
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 -
Jenssen, M., Patel, V., & Regts, G. (2024). Improved bounds for the zeros of the chromatic polynomial via Whitney's Broken Circuit Theorem. Journal of Combinatorial Theory. Series B, 169, 233-252. https://doi.org/10.1016/j.jctb.2024.06.005 -
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 -
Belin, A., de Boer, J., Jafferis, D. L., Nayak, P., & Sonner, J. (2024). Approximate CFTs and random tensor models. Journal of High Energy Physics, 2024(9), Article 163. https://doi.org/10.1007/jhep09(2024)163 -
Storm, J. F., Klink, P. C., Aru, J., Senn, W., Goebel, R., Pigorini, A., Avanzini, P., Vanduffel, W., Roelfsema, P. R., Massimini, M., Larkum, M. E., & Pennartz, C. M. A. (2024). An integrative, multiscale view on neural theories of consciousness. Neuron, 112(10), 1531-1552. https://doi.org/10.1016/j.neuron.2024.02.004 -
Aad, G., & ATLAS Collaboration (2024). Measurements of jet cross-section ratios in 13 TeV proton-proton collisions with ATLAS. Physical Review D, 110(7), Article 072019. https://doi.org/10.1103/PhysRevD.110.072019 -
Prokhorov, D. A., Lee, S. H., Nagataki, S., Vink, J., Ellison, D. C., Ferrand, G., Patnaude, D. J., Roepke, F. K., Seitenzahl, I. R., Slane, P. O., & CTA Consortium (2024). Potential of the Cherenkov Telescope Array for studying the young nearby supernova remnants. Proceedings of Science, 444, Article 824. https://doi.org/10.22323/1.444.0824 -
Mahes, R., Mandjes, M., Boon, M., & Taylor, P. (2024). Adaptive scheduling in service systems: A Dynamic programming approach. European Journal of Operational Research, 312(2), 605-626. https://doi.org/10.1016/j.ejor.2023.06.026
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