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Results: 149
Number of items: 149
  • Open Access
    Klous, S. (2026). From scientific results to business impact — and back again.
  • Open Access
    Rutten, P. (2025). The movement ecology of pedestrian crowds. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Müller, T., Turner, R. J., Amiri, S., Allaart, C., van Binsbergen, L. T., Dijksman, L., van Engers, T., Belloum, A., Grosso, P., Grünwald, P., Hoogoort, K., Härmä, A., Hegeman, J. M., Kassem, J. A., Kebede, M., de Laat, C., van der Nat, P., Pals, A., Scheepers, F., & Klous, S. (2025). Optimizing Clinical Pathways with Federated Data. Jusletter IT, 2025, 147-158. https://doi.org/10.38023/eeb1b383-86b0-4b9e-89d5-57af4b58eeb3
  • Open Access
    Allaart, C., Amiri, S., Bal, H., Belloum, A., Gommans, L., Van Halteren, A., & Klous, S. (2025). Private and Secure Distributed Deep Learning: A Survey. ACM Computing Surveys, 57(4), Article 92. https://doi.org/10.1145/3703452
  • Open Access
    Alsayed Kassem, J., Allaart, C., Amiri, S., Kebede, M., Müller, T., Turner, R., Belloum, A., van Binsbergen, L. T., Grunwald, P., van Halteren, A., Grosso, P., de Laat, C., & Klous, S. (2024). Building a Digital Health Twin for Personalized Intervention: The EPI Project. In B. R. Haverkort, A. de Jongste, P. van Kuilenburg, & R. D. Vromans (Eds.), Commit2Data Article 2 (OpenAccess Series in Informatics; Vol. 124). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.Commit2Data.2
  • Open Access
    Fratric, P. (2024). A simulation-driven approach to non-compliance. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zhou, X. (2024). From empowering to motivating: Enhancing policy enforcement through process design and incentive implementation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Mohajeri Parizi, M. (2024). An agent-based approach to the governance of complex cyber-infrastructures. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Islam, T., Oprescu, A., Mann, Z. Á., & Klous, S. (2024). A Framework to Optimize the Energy Cost of Securing Neural Network Inference. In IEEE Congress on Cybermatics: 2024 IEEE International Conferences on Internet of Things (iThings), IEEE Green Computing and Communications (GreenCom), IEEE Cyber, Physical and Social Computing (CPSCom), IEEE Smart Data (SmartData): Cybermatics 2024: iThings 2024 GreenCom 2024 CPSCom 2024 SmartData 2024 : 19-22 August 2024, Copenhagen, Denmark : proceedings (pp. 339–346). IEEE Computer Society. https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00073
  • Open Access
    Fratrič, P., Klous, S., & van Engers, T. (2023). Using a Model of Fraudulent Trader for Fraud Detection. In G. Sileno, N. Lettieri, & C. Becker (Eds.), Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022): co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022) : Saarbrücken, Germany, December 14, 2022 Article 2 (CEUR Workshop Proceedings; Vol. 3420). CEUR-WS. https://ceur-ws.org/Vol-3420/paper2.pdf
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