Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 7
Number of items: 7
  • Open Access
    Nguyen, L., Boersma, M., & Acar, E. (2026). Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations. In R. Guidotti, U. Schmid, & L. Longo (Eds.), Explainable Artificial Intelligence: Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025 : proceedings (Vol. IV, pp. 330–353). (Communications in Computer and Information Science; Vol. 2579). Springer. https://doi.org/10.1007/978-3-032-08330-2_16
  • Open Access
    Boersma, M., Manoorkar, K., Palmigiano, A., Panettiere, M., Tzimoulis, A., & Wijnberg, N. M. (2025). Flexible categorization using formal concept analysis and Dempster-Shafer theory. International Journal of Approximate Reasoning, 187, Article 109548. https://doi.org/10.1016/j.ijar.2025.109548
  • Open Access
    Boersma, M., Manoorkar, K., Palmigiano, A., Panettiere, M., Tzimoulis, A., & Wijnberg, N. (2024). Outlier detection using flexible categorisation and interrogative agendas. Decision Sciences, 180, Article 114196. https://doi.org/10.1016/j.dss.2024.114196
  • Open Access
    Boersma, M. (2024). Complex networks in audit: A data-driven modelling approach. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Boersma, M., Wolsink, J., Sourabh, S., Hoogduin, L. A., & Kandhai, D. (2023). Measure cross-sectoral structural similarities from financial networks. Scientific Reports, 13, Article 7124. https://doi.org/10.1038/s41598-023-34034-w
  • Open Access
    Boersma, M., Maliutin, A., Sourabh, S., Hoogduin, L. A., & Kandhai, D. (2020). Reducing the complexity of financial networks using network embeddings. Scientific Reports, 10, Article 17045. https://doi.org/10.1038/s41598-020-74010-2
  • Boersma, M., Sourabh, S., Hoogduin, L., & Kandhai, D. (2018). Financial statement networks: an application of network theory in audit. The Journal of Network Theory in Finance, 4(4), 59-85. https://doi.org/10.21314/JNTF.2018.048
Page of