Zhou, X., Belloum, A., Lees, M. H., van Engers, T., & de Laat, C. (2022). Costly incentives design from an institutional perspective: cooperation, sustainability and affluence. Proceedings of the Royal Society A-Mathematical, Physical and Engineering Sciences, 478(2265), Article 20220393. https://doi.org/10.1098/rspa.2022.0393
Zhang, L., Taal, A., Cushing, R., de Laat, C., & Grosso, P. (2022). A risk-level assessment system based on the STRIDE/DREAD model for digital data marketplaces. International Journal of Information Security, 21(3), 509–525. https://doi.org/10.1007/s10207-021-00566-3
Mohajeri Parizi, M., Sileno, G., & van Engers, T. (2022). Seamless Integration and Testing for MAS Engineering. In N. Alechina, M. Baldoni, & B. Logan (Eds.), Engineering Multi-Agent Systems: 9th International Workshop, EMAS 2021, virtual event, May 3–4, 2021 : revised selected papers (pp. 254-272). (Lecture Notes in Computer Science; Vol. 13190), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-97457-2_15
Parizi, M. M., van Binsbergen, L. T., Sileno, G., & van Engers, T. (2022). A Modular Architecture for Integrating Normative Advisors in MAS. In D. Baumeister, & J. Rothe (Eds.), Multi-Agent Systems: 19th European Conference, EUMAS 2022, Düsseldorf, Germany, September 14–16, 2022 : proceedings (pp. 312-329). (Lecture Notes in Computer Science; Vol. 13442), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-20614-6_18
Fukami, A., Sheremetov, S., Regazzoni, F., Geradts, Z., & De Laat, C. (2022). Experimental Evaluation of e·MMC Data Recovery. IEEE Transactions on Information Forensics and Security, 17, 2074-2083. https://doi.org/10.1109/TIFS.2022.3176187
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
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
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
Koot, M. R. (2022). Dutch intelligence disrupts Russian effort to infiltrate International Criminal Court. Web publication or website, IntelNews.org. https://intelnews.org/2022/06/16/01-3203/
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