SAETI

This repository is related to the SAETI (Snippet-based Autoencoder for Time-series Imputation) a novel method for imputation of missing values in multidimensional time series that is based on the combined use of autoencoders and a time series of behavioral patterns (snippets). SAETI is authored by Alexey Yurtin (iurtinaa@susu.ru) and Mikhail Zymbler (mzym@susu.ru), South Ural State University, Chelyabinsk, Russia.

Acknowledgement

This work was financially supported by the Russian Science Foundation (grant no. 23-21-00465). The research is carried out using the supercomputer resources of South Ural State University (Chelyabinsk, Russia)

Citation

@article{SAETI24CMSE,
  title={Imputation of Multivariate Time Series Based on the Behavioral Patterns and Autoencoders},
  author={Yurtin, A A},
  journal={Bulletin of the South Ural State University. Series: Computational Mathematics and Software Engineering},
  volume={13},
  number={2},
  doi = {10.14529/cmse240203},
  pages={39--55},
  year={2024},
}