Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 82
Number of items: 82
  • Open Access
    Hourican, C., Li, J., Mishra, P. P., Lehtimäki, T., Mishra, B. H., Kähönen, M., Raitakari, O. T., Laaksonen, R., Keltikangas-Järvinen, L., Juonala, M., & Quax, R. (2024). Efficient Search Algorithms for Identifying Synergistic Associations in High-Dimensional Datasets. Entropy, 26(11), Article 968. https://doi.org/10.3390/e26110968
  • Open Access
    Gehlen, J., Li, J., Hourican, C., Tassi, S., Mishra, P. P., Lehtimäki, T., Kähönen, M., Raitakari, O., Bosch, J. A., & Quax, R. (2024). Bias in O-Information Estimation. Entropy, 26(10), Article 837. https://doi.org/10.3390/e26100837
  • 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
    Uleman, J. F., Quax, R., Melis, R. J. F., Hoekstra, A. G., & Olde Rikkert, M. G. M. (2024). The need for systems thinking to advance Alzheimer's disease research. Psychiatry Research, 333, Article 115741. https://doi.org/10.1016/j.psychres.2024.115741
  • Open Access
    Koloi, A., Loukas, V. S., Hourican, C., Sakellarios, A. I., Quax, R., Mishra, P. P., Lehtimäki, T., Raitakari, O. T., Papaloukas, C., Bosch, J. A., März, W., & Fotiadis, D. I. (2024). Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. European Heart Journal - Digital Health, 5(5), 542-550. https://doi.org/10.1093/ehjdh/ztae049
  • 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
    Oetker, F., Roelofsen, L. A. S., Belleman, R. G., & Quax, R. (2024). CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks. In L. Franco, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024 : proceedings (Vol. III, pp. 195-204). (Lecture Notes in Computer Science; Vol. 14834). Springer. https://doi.org/10.1007/978-3-031-63759-9_24
  • Open Access
    van Elteren, C., Quax, R., & Sloot, P. M. A. (2024). Cascades Towards Noise-Induced Transitions on Networks Revealed Using Information Flows. Entropy, 26(12), Article 1050. https://doi.org/10.3390/e26121050
  • Open Access
    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
  • Koloi, A., Loukas, V. S., Sakellarios, A., Bosch, J. A., Quax, R., Nowakowska, K., Tachos, N., Kaźmierski, J., Papaloukas, C., & Fotiadis, D. (2023). A comparison study on creating simulated patient data for individuals suffering from chronic coronary disorders. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): proceedings : Sydney, Australia, 24-27 July 2023 (pp. 3630-3633). IEEE. https://doi.org/10.1109/EMBC40787.2023.10340194
Page 3 of 9