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Results: 76
Number of items: 76
  • Open Access
    Gabel, A., Quax, R., & Gavves, E. (2025). Type-II neural symmetry detection with Lie theory. Scientific Reports, 15, Article 33500. https://doi.org/10.1038/s41598-025-17098-8
  • Open Access
    Hadjisotiriou, S., Oreel, T. H., Marchau, V. A. W. J., Korzilius, H. P. L. M., Coenen, J., Nespeca, V., Rouwette, E. A. J. A., Vasconcelos, V. V., Quax, R., Wertheim, H. F. L., & Olde Rikkert, M. G. M. (2025). Pandemic Performance Measures of Resilience for Healthcare and Education in the Netherlands. International Journal of Health Planning and Management, 40(5), 1106-1121. https://doi.org/10.1002/hpm.3943
  • van Elteren, C., Sloot, P. M., & Quax, R. (2024). Cascades towards noise-induced transitions on networks revealed using information flows [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.25920853
  • 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
    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
    Gabel, A., Quax, R., & Gavves, E. (2024). Data-driven Lie point symmetry detection for continuous dynamical systems. Machine Learning: Science and Technology, 5(1), Article 015037. https://doi.org/10.1088/2632-2153/ad2629
  • 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
    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
    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
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