Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 719
Number of items: 719
  • Open Access
    Duijn, P. A. C., Kashirin, V., & Sloot, P. M. A. (2014). The Relative Ineffectiveness of Criminal Network Disruption. Scientific Reports, 4, Article 4238. https://doi.org/10.1038/srep04238
  • Open Access
    Dukhanov, A. V., Krzhizhanovskaya, V. V., Bilyatdinova, A., Boukhanovsky, A. V., & Sloot, P. M. A. (2014). Double-degree Master's Program in Computational Science: Experiences of ITMO University and University of Amsterdam. Procedia Computer Science, 29, 1433-1445. https://doi.org/10.1016/j.procs.2014.05.130
  • Open Access
    Melnikova, N. B. (2014). Finite element analysis of levee stability for flood early warning systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Mancini, E. (2014). Agent based modeling of viral infections: an investigation across several spatio-temporal scales. [Thesis, fully internal, Universiteit van Amsterdam].
  • Adamatzky, A., Akl, S., Alonso-Sanz, R., van Dessel, W., Ibrahim, Z., Ilachinski, A., Jones, J., Kayem, A. V. D. M., Martínez, G. J., de Oliveira, P., Prokopenko, M., Schubert, T., Sloot, P., Strano, E., & Yang, X.-S. (2013). Are motorways rational from slime mould's point of view? International Journal of Parallel, Emergent and Distributed Systems, 28(3), 230-248. https://doi.org/10.1080/17445760.2012.685884
  • Bankhead, A., Mancini, E., Sims, A. C., Baric, R. S., McWeeney, S., & Sloot, P. M. A. (2013). A simulation framework to investigate in vitro viral infection dynamics. Journal of Computational Science, 4(3), 127-134. https://doi.org/10.1016/j.jocs.2011.08.007
  • Adamatzky, A., Lees, M., & Sloot, P. (2013). Bio-development of motorway networks in the Netherlands: a slime mould approach. Advances in Complex Systems, 16(02n03), 2326-0386. Article 1250034. https://doi.org/10.1142/S0219525912500348
  • Open Access
    Sloot, P. M. A., Kampis, G., & Gulyás, L. (2013). Advances in dynamic temporal networks: understanding the temporal dynamics of complex adaptive networks. The European Physical Journal - Special Topics, 222(6), 1287-1293. https://doi.org/10.1140/epjst/e2013-01926-8
  • Czaplicka, A., Hołyst, J. A., & Sloot, P. M. A. (2013). Stochastic resonance for information flows on hierarchical networks. The European Physical Journal - Special Topics, 222(6), 1335-1345. https://doi.org/10.1140/epjst/e2013-01929-5
  • Quax, R., van de Vijver, D. A. M. C., Frentz, D., & Sloot, P. M. A. (2013). Inferring epidemiological parameters from phylogenetic information for the HIV-1 epidemic among MSM. The European Physical Journal - Special Topics, 222(6), 1347-1358. https://doi.org/10.1140/epjst/e2013-01930-0
Page 18 of 72