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Results: 715
Number of items: 715
  • 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
    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].
  • 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
  • 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. V, pp. v-vi). (Lecture Notes in Computer Science; Vol. 14077). Springer. https://doi.org/10.1007/978-3-031-36030-5
  • Open Access
    Schuurman, A. R., Sloot, P. M. A., Wiersinga, W. J., & van der Poll, T. (2023). Embracing complexity in sepsis. Critical Care, 27, Article 102. https://doi.org/10.1186/s13054-023-04374-0
  • Open Access
    Yildirim, V., Sheraton, V. M., Brands, R., Crielaard, L., Quax, R., Riel, N. A. W. V., Stronks, K., Nicolaou, M., & Sloot, P. M. A. (2023). A data-driven computational model for obesity-driven diabetes onset and remission through weight loss. iScience, 26(11), Article 108324. https://doi.org/10.1016/j.isci.2023.108324
  • Open Access
    Crielaard, L., Quax, R., Sawyer, A. D. M., Vasconcelos, V. V., Nicolaou, M., Stronks, K., & Sloot, P. M. A. (2023). Using network analysis to identify leverage points based on causal loop diagrams leads to false inference. Scientific Reports, 13(1), Article 21046. https://doi.org/10.1038/s41598-023-46531-z
  • Open Access
    Kovalchuk, S. V., de Mulatier, C., Groen, D., Paszyński, M., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2023). The computational planet. Journal of Computational Science, 72, Article 102102. https://doi.org/10.1016/j.jocs.2023.102102
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