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Results: 719
Number of items: 719
  • Open Access
    Crielaard, L., Uleman, J. F., Châtel, B. D. L., Epskamp, S., Sloot, P., & Quax, R. (2024). Refining the Causal Loop Diagram: A Tutorial for Maximizing the Contribution of Domain Expertise in Computational System Dynamics Modeling. Psychological Methods, 29(1), 169-201. https://doi.org/10.1037/met0000484
  • Open Access
    Korkmaz, H. I., Sheraton, V. M., Bumbuc, R. V., Li, M., Pijpe, A., Mulder, P. P. G., Boekema, B. K. H. L., de Jong, E., Papendorp, S. G. F., Brands, R., Middelkoop, E., Sloot, P. M. A., & van Zuijlen, P. P. M. (2024). An in silico modeling approach to understanding the dynamics of the post-burn immune response. Frontiers in Immunology, 15, Article 1303776. https://doi.org/10.3389/fimmu.2024.1303776
  • Open Access
    Chopard, B., Davishofer, S., Helbing, D., Levrat, N., & Sloot, P. (2024). Preface—From the modeling of social behavior to computational diplomacy. Journal of Computational Science, 77, Article 102115. https://doi.org/10.1016/j.jocs.2023.102115
  • Open Access
    Sloot, P. M. A., Quax, R., & Gu, M. (2024). Natural Information Processing. In D. C. Krakauer (Ed.), Foundational Papers in Complexity Science. - Volume 4: 1989-2000 (pp. 2447-2532). SFI Press. https://doi.org/10.37911/9781947864559.78
  • Open Access
    Hoencamp, J. H. (2024). Modern advances in computational credit risk modelling: Quantitative approaches to margin value adjustments for interest rate derivatives. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van der Zwet, K., Barros, A. I., van Engers, T. M., & Sloot, P. M. A. (2023). Promises and pitfalls of computational modelling for insurgency conflicts. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 20(3), 333-350. https://doi.org/10.1177/15485129211073612
  • Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2023). Preface. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. V, pp. v-vi). (Lecture Notes in Computer Science; Vol. 14077). Springer. https://doi.org/10.1007/978-3-031-36030-5
  • Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2023). Preface. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. II, pp. v-vi). (Lecture Notes in Computer Science; Vol. 14074). Springer. https://doi.org/10.1007/978-3-031-36021-3
  • Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A. (2023). Preface. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 14073). Springer. https://doi.org/10.1007/978-3-031-35995-8
  • Open Access
    Helmus, J. R. (2023). Non-linear dynamics of charging behaviour under growth stress: Data driven computational models. [Thesis, fully internal, Universiteit van Amsterdam].
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