[ 2021 ]

2021 [ nach oben ]

  • 1.
    Heidecker, F., Hannan, A., Bieshaar, M., Sick, B.: Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll. 361–374. IEEE, Milan, Italy (2021).
  • 2.
    Gruhl, C., Hannan, A., Huang, Z., Nivarthi, C., Vogt, S.: The Problem with Real-World Novelty Detection -- Issues in Multivariate Probabilistic Models. Workshop on Self-Improving System Integration (SISSY), ACSOS. bll. 204–209. IEEE (2021).
  • 3.
    Hannan, A., Gruhl, C., Sick, B.: Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. IEEE International Conference on Cyber Security and Resilience (CSR). bll. 1–7. IEEE (2021).