Search results
Results: 148
Number of items: 148
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Rutten, P., Lees, M. H., Klous, S., Heesterbeek, H., & Sloot, P. M. A. (2022). Modelling the dynamic relationship between spread of infection and observed crowd movement patterns at large scale events. Scientific Reports, 12, Article 14825. https://doi.org/10.1038/s41598-022-19081-z -
Fratrič, P., Sileno, G., van Engers, T., & Klous, S. (2022). A Compression and Simulation-Based Approach to Fraud Discovery. In E. Francesconi, G. Borges, & C. Sorge (Eds.), Legal Knowledge and Information Systems: JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022 (pp. 176-181). (Frontiers in Artificial Intelligence and Applications; Vol. 362). IOS Press. https://doi.org/10.3233/FAIA220463
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Fratrič, P., Sileno, G., van Engers, T., & Klous, S. (2022). Computational Discovery of Transaction-Based Financial Crime via Grammatical Evolution: The Case of Ponzi Schemes. In N. Ajmeri, A. Morris Martin, & B. T. R. Savarimuthu (Eds.), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV: International Workshop, COINE 2022, virtual event, May 9, 2022 : revised selected papers (pp. 109-120). (Lecture Notes in Computer Science; Vol. 13549), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-20845-4_7
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Fratrič, P., Sileno, G., Klous, S., & van Engers, T. (2022). Manipulation of the Bitcoin market: an agent-based study. Financial Innovation, 8, Article 60. https://doi.org/10.1186/s40854-022-00364-3
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Amiri, S., Belloum, A., Nalisnick, E., Klous, S., & Gommans, L. (2022). On the impact of non-IID data on the performance and fairness of differentially private federated learning. In Proceedings, 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop volume: 27-30 June 2022, Baltimore, Maryland (pp. 52-58). (DSN-W; Vol. 2022). IEEE Computer Society. https://doi.org/10.1109/DSN-W54100.2022.00018
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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
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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
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Zhou, X., Cushing, R., Koning, R., Belloum, A., Grosso, P., Klous, S., van Engers, T., & de Laat, C. (2020). Policy Enforcement for Secure and Trustworthy Data Sharing in Multi-domain Infrastructures. In G. Wang, C. Becker Westphall, & A. Castiglione (Eds.), 2020 IEEE 14th International Conference on Big Data Science and Engineering: proceedings : 29 December 2020-1 January 2021, Guangzhou, China (pp. 104-113). IEEE Computer Society. https://doi.org/10.1109/BigDataSE50710.2020.00022
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Fratrič, P., Sileno, G., van Engers, T., & Klous, S. (2020). Integrating agent-based modelling with copula theory: Preliminary insights and open problems. 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. III, pp. 212-225). (Lecture Notes in Computer Science; Vol. 12139). Springer. https://doi.org/10.1007/978-3-030-50420-5_16
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Mohajeri Parizi, M., Sileno, G., van Engers, T., & Klous, S. (2020). Run, agent, run! Architecture and benchmarking of actor-based agents. In E. Castegren, J. De Koster, & T. C. Schmidt (Eds.), AGERE '20: proceedings of the 10th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control : November 17, 2020, Virtual, USA (pp. 11-20). The Association for Computing Machinery. https://doi.org/10.1145/3427760.3428339
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