A. M. Wilbik

Aechtner, J., Wilbik, A., & Popa, M. (2025). Assessing Aggressive Driving Behaviour Using Attention Based Models. In F. A. Oliehoek, M. Kok, & S. Verwer (Eds.), Artificial Intelligence and Machine Learning - 35th Benelux Conference, BNAIC/Benelearn 2023, Revised Selected Papers (Vol. 2187 CCIS, pp. 54-81). Springer. https://doi.org/10.1007/978-3-031-74650-5_4

Pekala, B., Wilbik, A., Szkola, J., Dyczkowski, K., & Zywica, P. (2024). Federated Learning with the Choquet Integral as Aggregation Method. In 2024 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2024 - Proceedings IEEE. https://doi.org/10.1109/FUZZ-IEEE60900.2024.10611748

Wilbik, A., & Grefen, P. (2024). Responsibility and Explainability in Using Intelligent Systems. In F. Phillipson, G. Eichler, C. Erfurth, & G. Fahrnberger (Eds.), Innovations for Community Services - 24th International Conference, I4CS 2024, Proceedings (Vol. 2109 CCIS, pp. 3-14). Springer. https://doi.org/10.1007/978-3-031-60433-1_1

Stallmann, M., Wilbik, A., & Weiss, G. (2024). Towards Unsupervised Sudden Data Drift Detection in Federated Learning with Fuzzy Clustering. In 2024 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2024 - Proceedings IEEE. https://doi.org/10.1109/FUZZ-IEEE60900.2024.10611883