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Uleman, J. F., Melis, R. J. F., Hoekstra, A. G., Olde Rikkert, M. G. M., Quax, R., & the Australian Imaging, Biomarker and Lifestyle study of Aging and Alzheimer's Disease Neuroimaging Initiative studies (2023). Exploring the potential impact of multi-factor precision interventions in Alzheimer's disease with system dynamics. Journal of Biomedical Informatics, 145, Article 104462. https://doi.org/10.1016/j.jbi.2023.104462 -
Jiménez-Peñuela, J., Ferraguti, M., Martínez-De La Puente, J., Soriguer, R. C., & Figuerola, J. (2023). Oxidative status in relation to blood parasite infections in house sparrows living along an urbanization gradient. Environmental Pollution, 316(1), 120712. https://doi.org/10.1016/j.envpol.2022.120712 -
Hirzler, H., Trimby, E., Gerritsma, R., Safavi-Naini, A., & Pérez-Ríos, J. (2023). Trap-Assisted Complexes in Cold Atom-Ion Collisions. Physical Review Letters, 130(14), Article 143003. https://doi.org/10.1103/PhysRevLett.130.143003 -
Lippe, P., Veeling, B. S., Perdikaris, P., Turner, R. E., & Brandstetter, J. (2023). PDE-Refiner: Achieving Accurate Long Rollouts with Temporal Neural PDE Solvers. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 67398-67433). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2308.05732, https://doi.org/10.52202/075280-2946 -
Sun, W., Du, Y., Zhen, X., Wang, F., Wang, L., & Snoek, C. G. M. (2023). MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. Proceedings of Machine Learning Research, 202, 32847-32858. https://proceedings.mlr.press/v202/sun23b.html -
Christou, V., Wang, Y., & Zhao, Z. (2023). Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. In 2023 IEEE 19th International Conference on e-Science: (e-Science) : October 9-14, 2023, Limassol, Cyprus : proceedings (pp. 465-466). Article 62 IEEE. https://doi.org/10.1109/e-Science58273.2023.10254845 -
Wieringa, N., Droge, S. T. J., Bakker, A. M., Melkert, R. A., Prast, B. J., Verdonschot, P. F. M., & Kraak, M. H. S. (2023). Enlarging the Arsenal of Test Species for Sediment Quality Assessment. Bulletin of environmental contamination and toxicology, 110, Article 55. https://doi.org/10.1007/s00128-023-03691-y -
Castro, R. M., Hellström, F., & van Erven, T. (2023). Adaptive Selective Sampling for Online Prediction with Experts. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 134-154). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-0008
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