Pu­bli­ka­tio­nen

[ 2021 ] [ 2020 ] [ 2017 ]

2021 [ nach oben ]

  • 1.
    Huang, Z., He, Y., Vogt, S., Sick, B.: Uncertainty and Utility Sampling with Pre-Clustering. Workshop on Interactive Adaptive Learning (IAL), ECML PKDD (2021).
     
  • 2.
    He, Y., Huang, Z., Sick, B.: Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. 2021 International Joint Conference on Neural Networks (IJCNN) (2021).
     
  • 3.
    He, Y., Sick, B.: CLeaR: An adaptive continual learning framework for regression tasks. AI Perspectives. 3, 2 (2021).
     

2020 [ nach oben ]

  • 1.
    He, Y., Henze, J., Sick, B.: Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. 2020 International Joint Conference on Neural Networks (IJCNN) (2020).
     
  • 2.
    He, Y., Henze, J., Sick, B.: Continuous Learning of Deep Neural Networks to Improve Forecasts for Regional Energy Markets. International Federation of Automatic Control (IFAC) World Congress. bll. 12175–12182 (2020).
     

2017 [ nach oben ]

  • 1.
    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. International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM-17), 11th, November 12-16, Barcelona, Spain. IARIA (2017).