---
_id: '2572'
author:
- first_name: Luca
  full_name: Steinmann, Luca
  last_name: Steinmann
- first_name: Nico
  full_name: Migenda, Nico
  id: '218473'
  last_name: Migenda
  orcid: 0000-0002-7223-1735
- first_name: Tim
  full_name: Voigt, Tim
  id: '220691'
  last_name: Voigt
- first_name: Martin
  full_name: Kohlhase, Martin
  id: '226669'
  last_name: Kohlhase
  orcid: 0009-0002-9374-0720
- first_name: Wolfram
  full_name: Schenck, Wolfram
  id: '224375'
  last_name: Schenck
  orcid: 0000-0003-3300-2048
citation:
  alphadin: '<span style="font-variant:small-caps;">Steinmann, Luca</span> ; <span
    style="font-variant:small-caps;">Migenda, Nico</span> ; <span style="font-variant:small-caps;">Voigt,
    Tim</span> ; <span style="font-variant:small-caps;">Kohlhase, Martin</span> ;
    <span style="font-variant:small-caps;">Schenck, Wolfram</span>: Variational Autoencoder
    based Novelty Detection for Real-World Time Series. In: <i>2021 3rd International
    Conference on Management Science and Industrial Engineering</i>. New York, NY,
    USA : ACM, 2021, S. 1–7'
  ama: 'Steinmann L, Migenda N, Voigt T, Kohlhase M, Schenck W. Variational Autoencoder
    based Novelty Detection for Real-World Time Series. In: <i>2021 3rd International
    Conference on Management Science and Industrial Engineering</i>. New York, NY,
    USA: ACM; 2021:1-7. doi:<a href="https://doi.org/10.1145/3460824.3460825">10.1145/3460824.3460825</a>'
  apa: 'Steinmann, L., Migenda, N., Voigt, T., Kohlhase, M., &#38; Schenck, W. (2021).
    Variational Autoencoder based Novelty Detection for Real-World Time Series. In
    <i>2021 3rd International Conference on Management Science and Industrial Engineering</i>
    (pp. 1–7). New York, NY, USA: ACM. <a href="https://doi.org/10.1145/3460824.3460825">https://doi.org/10.1145/3460824.3460825</a>'
  bibtex: '@inproceedings{Steinmann_Migenda_Voigt_Kohlhase_Schenck_2021, place={New
    York, NY, USA}, title={Variational Autoencoder based Novelty Detection for Real-World
    Time Series}, DOI={<a href="https://doi.org/10.1145/3460824.3460825">10.1145/3460824.3460825</a>},
    booktitle={2021 3rd International Conference on Management Science and Industrial
    Engineering}, publisher={ACM}, author={Steinmann, Luca and Migenda, Nico and Voigt,
    Tim and Kohlhase, Martin and Schenck, Wolfram}, year={2021}, pages={1–7} }'
  chicago: 'Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram
    Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time
    Series.” In <i>2021 3rd International Conference on Management Science and Industrial
    Engineering</i>, 1–7. New York, NY, USA: ACM, 2021. <a href="https://doi.org/10.1145/3460824.3460825">https://doi.org/10.1145/3460824.3460825</a>.'
  ieee: L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, and W. Schenck, “Variational
    Autoencoder based Novelty Detection for Real-World Time Series,” in <i>2021 3rd
    International Conference on Management Science and Industrial Engineering</i>,
    Osaka Japan, 2021, pp. 1–7.
  mla: Steinmann, Luca, et al. “Variational Autoencoder Based Novelty Detection for
    Real-World Time Series.” <i>2021 3rd International Conference on Management Science
    and Industrial Engineering</i>, ACM, 2021, pp. 1–7, doi:<a href="https://doi.org/10.1145/3460824.3460825">10.1145/3460824.3460825</a>.
  short: 'L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, W. Schenck, in: 2021 3rd
    International Conference on Management Science and Industrial Engineering, ACM,
    New York, NY, USA, 2021, pp. 1–7.'
conference:
  end_date: 2021-04-04
  location: Osaka Japan
  name: 'MSIE 2021: 2021 3rd International Conference on Management Science and Industrial
    Engineering'
  start_date: 2021-04-02
date_created: 2023-03-10T08:40:15Z
date_updated: 2026-03-17T15:28:34Z
doi: 10.1145/3460824.3460825
language:
- iso: eng
page: 1-7
place: New York, NY, USA
publication: 2021 3rd International Conference on Management Science and Industrial
  Engineering
publication_identifier:
  isbn:
  - '9781450388887'
publication_status: published
publisher: ACM
status: public
title: Variational Autoencoder based Novelty Detection for Real-World Time Series
type: conference
user_id: '249199'
year: '2021'
...