2022[ to top ]
  • Huang, Z.: Active Learning in Multivariate Time Series Anomaly Detection In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 113–124. kassel university press (2022).
2021[ to top ]
  • Huang, Z., He, Y., Vogt, S., Sick, B.: Uncertainty and Utility Sampling with Pre-Clustering In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD (2021).
  • He, Y., Huang, Z., Sick, B.: Toward Application of Continuous Power Forecasts in a Regional Flexibility Market In: International Joint Conference on Neural Networks (IJCNN). bll 1–8. IEEE (2021).
  • Gruhl, C., Hannan, A., Huang, Z., Nivarthi, C., Vogt, S.: The Problem with Real-World Novelty Detection -- Issues in Multivariate Probabilistic Models In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 204–209. IEEE (2021).
2017[ to top ]
  • Zhou, B., Cheng, J., Mawandia, A., He, Y., Huang, Z., Sundholm, M., Yildrim, M., Cruz, H., Lukowicz, P.: TPM Framework: a Comprehensive Kit for Exploring Applications with Textile Pressure Mapping Matrix In: International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM). IARIA (2017).