Search results
Results: 137
Number of items: 137
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Kovalchuk, S. V., Cai, W., Lees, M., Paszyński, M., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2026). Making complex systems tractable through computational science. Journal of Computational Science, 99, Article 102950. https://doi.org/10.1016/j.jocs.2026.102950
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Park, K., Vasconcelos, V. V., & Lees, M. (2026). A tutorial on causal network simulation and exploration using the causalnet R package. Behavior Research Methods, 58(8), Article 204. https://doi.org/10.3758/s13428-026-03030-z -
Hourican, C., Peeters, G., Melis, R. J. F., Kok, A., van Schoor, N. M., Wezeman, S., Lees, M., Olde Rikkert, M. G. M., & Quax, R. (2026). Interpreting higher-order dependence in multimorbidity using cohort data: A partial information decomposition approach. PLoS Computational Biology, 22(6), Article e1014386. https://doi.org/10.1371/journal.pcbi.1014386 -
Park, K., Li, X., Waldorp, L., Lees, M., & Vasconcelos, V. V. (2026). The Role of Feedback loops are central to the dynamics of mental disorder symptoms. Scientific Reports, 16, Article 11273. https://doi.org/10.1038/s41598-026-38747-6 -
Peeters, G., Hourican, C., Lees, M., Quax, R., Melis, R., Kok, A., van Schoor, N. M., & Olde Rikkert, M. (2026). Symptoms provide predictive information on daily functioning beyond signs and diseases in middle-aged and older adults, particularly those with multimorbidity. Age and Ageing, 55(2), Article afag046. https://doi.org/10.1093/ageing/afag046 -
Dignum, E., Choudhary, H., & Lees, M. (2025). Simulation-Based Inference in Agent-Based Models Using Spatio-Temporal Summary Statistics. In M. Paszynski, A. S. Barnard, & Y. J. Zhang (Eds.), Computational Science – ICCS 2025 Workshops: 25th International Conference, Singapore, Singapore, July 7–9, 2025 : proceedings (Vol. II, pp. 239-254). (Lecture Notes in Computer Science; Vol. 15908). Springer. https://doi.org/10.1007/978-3-031-97557-8_18 -
Nevin, J., Lees, M., & Groth, P. (2025). The effects of mismatched train and test data cleaning pipelines on regression models: lessons for practice. PeerJ Computer Science, 11, 1-22. Article e2793. https://doi.org/10.7717/peerj-cs.2793 -
Nevin, J., Zhang, P., Dimitrov, D., Lees, M., Groth, P., & Dietze, S. (2025). Understanding the Impact of Entity Linking on the Topology of Entity Co-occurrence Networks for Social Media Analysis. In M. Alam, M. Rospocher, M. V. Erp, L. Hollink, & G. A. Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 69–85). (Lecture Notes in Artificial Intelligence; Vol. 15370). Springer. https://doi.org/10.1007/978-3-031-77792-9_5 -
van Elteren, C., Vasconcelos, V. V., & Lees, M. H. (2025). The paradox of intervention: Resilience in adaptive multirole coordination networks. Proceedings of the National Academy of Sciences, 122(51), Article e2509856122. https://doi.org/10.1073/pnas.2509856122
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