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Results: 131
Number of items: 131
  • Open Access
    Rutten, P., Lees, M. H., Klous, S., & Sloot, P. M. A. (2021). State-space models reveal bursty movement behaviour of dance event visitors. EPJ Data Science, 10, Article 35. https://doi.org/10.1140/epjds/s13688-021-00292-9
  • Open Access
    Karbovskii, V., Lees, M., Presbitero, A., Kurilkin, A., Voloshin, D., Derevitskii, I., Karsakov, A., & Sloot, P. M. A. (2021). Ensemble learning for large-scale crowd flow prediction. Engineering Applications of Artificial Intelligence, 106, Article 104469. https://doi.org/10.1016/j.engappai.2021.104469
  • Open Access
    van der Wal, J., van Borkulo, C. D., Deserno, M. K., Breedvelt, J. J. F., Lees, M., Lokman, J. C., Borsboom, D., Denys, D., van Holst, R. J., Smidt, M. P., Stronks, K., Lucassen, P. J., van Weert, J. C. M., Sloot, P. M. A., Bockting, C. L., & Wiers, R. W. (2021). Advancing urban mental health research: from complexity science to actionable targets for intervention. The Lancet. Psychiatry, 8(11), 991-1000. https://doi.org/10.1016/S2215-0366(21)00047-X
  • Open Access
    Melnikov, V. (2021). Computational models of human response to urban heat: From physiology to behaviour. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Lees, M., Sloot, P. M., Krzhizhanovskaya, V. V., & Melnikov, V. (2020). Walking speeds in relation to climate in Singapore [Data set]. Mendeley Data. https://doi.org/10.17632/k5rf27hnhk.1
  • Helmus, J. R., Lees, M. H., & van den Hoed, R. (2020). A data driven typology of electric vehicle user types and charging sessions. Transportation Research. Part C, Emerging Technologies, 115, Article 102637. https://doi.org/10.1016/j.trc.2020.102637
  • Derevitskii, I., Kogtikov, N., Lees, M. H., Cai, W., & Ong, M. E. H. (2020). Risk-based AED placement - Singapore case. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. IV, pp. 577-590). (Lecture Notes in Computer Science; Vol. 12140). Springer. https://doi.org/10.1007/978-3-030-50423-6_43
  • Kwak, J., Lees, M. H., Cai, W., & Ong, M. E. H. (2020). Modeling helping behavior in emergency evacuations using volunteer’s dilemma game. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. I, pp. 513-523). (Lecture Notes in Computer Science; Vol. 12137). Springer. https://doi.org/10.1007/978-3-030-50371-0_38
  • Cardoso, P. J. S., Rodrigues, J. M. F., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2020). Computational Science in the Interconnected World: Selected papers from 2019 International Conference on Computational Science. Journal of Computational Science, 47, Article 101222. https://doi.org/10.1016/j.jocs.2020.101222
  • Roy, D., & Lees, M. (2020). Understanding resilience in slums using an agent-based model. Computers, Environment and Urban Systems, 80, Article 101458. https://doi.org/10.1016/j.compenvurbsys.2019.101458
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