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Results: 716
Number of items: 716
  • Open Access
    Rutten, P., Lees, M. H., Klous, S., & Sloot, P. M. A. (2021). Intermittent and persistent movement patterns of dance event visitors in large sporting venues. Physica A: Statistical Mechanics and its Applications, 563, Article 125448. https://doi.org/10.1016/j.physa.2020.125448
  • 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
    Buiten, G., Diks, C., Faber, A., Heemskerk, E., Mattsson, C., Takes, F., & Sloot, P. (2021). Netwerkanalyse biedt nieuwe inzichten voor clustergericht energiebeleid. Economisch-Statistische Berichten, 106(4804), 586-588. https://esb.nu/esb/20068796/netwerkanalyse-biedt-nieuwe-inzichten-voor-clustergericht-energiebeleid
  • Open Access
    Dutta, P., Quax, R., Crielaard, L., Badiali, L., & Sloot, P. M. A. (2021). Inferring temporal dynamics from cross-sectional data using Langevin dynamics. Royal Society Open Science, 8(11), Article 211374. https://doi.org/10.1098/rsos.211374
  • Open Access
    Mattsson, C. E. S., Takes, F. W., Heemskerk, E. M., Diks, C., Buiten, G., Faber, A., & Sloot, P. M. A. (2021). Functional Structure in Production Networks. Frontiers in Big Data, 4, Article 666712. https://doi.org/10.3389/fdata.2021.666712
  • 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
  • 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
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