A New Preprocessing Approach to Reduce Computational Complexity for Time Series Forecasting with Neuronal Networks: Temporal Resolution Warping

Christoph Kellermann, Eric Neumann, Jörn Ostermann. A New Preprocessing Approach to Reduce Computational Complexity for Time Series Forecasting with Neuronal Networks: Temporal Resolution Warping. In 2021 International Symposium on Computer Science and Intelligent Control, ISCSIC 2021, Rome, Italy, November 12-14, 2021. pages 324-328, IEEE, 2021. [doi]

@inproceedings{KellermannNO21,
  title = {A New Preprocessing Approach to Reduce Computational Complexity for Time Series Forecasting with Neuronal Networks: Temporal Resolution Warping},
  author = {Christoph Kellermann and Eric Neumann and Jörn Ostermann},
  year = {2021},
  doi = {10.1109/ISCSIC54682.2021.00065},
  url = {https://doi.org/10.1109/ISCSIC54682.2021.00065},
  researchr = {https://researchr.org/publication/KellermannNO21},
  cites = {0},
  citedby = {0},
  pages = {324-328},
  booktitle = {2021 International Symposium on Computer Science and Intelligent Control, ISCSIC 2021, Rome, Italy, November 12-14, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1627-6},
}