VASP: An autoencoder-based approach for multivariate anomaly detection and robust time series prediction with application in motorsport

Julian von Schleinitz, Michael Graf, Wolfgang Trutschnig, Andreas Schröder. VASP: An autoencoder-based approach for multivariate anomaly detection and robust time series prediction with application in motorsport. Eng. Appl. of AI, 104:104354, 2021. [doi]

@article{SchleinitzGTS21,
  title = {VASP: An autoencoder-based approach for multivariate anomaly detection and robust time series prediction with application in motorsport},
  author = {Julian von Schleinitz and Michael Graf and Wolfgang Trutschnig and Andreas Schröder},
  year = {2021},
  doi = {10.1016/j.engappai.2021.104354},
  url = {https://doi.org/10.1016/j.engappai.2021.104354},
  researchr = {https://researchr.org/publication/SchleinitzGTS21},
  cites = {0},
  citedby = {0},
  journal = {Eng. Appl. of AI},
  volume = {104},
  pages = {104354},
}