---
_id: '6911'
author:
- first_name: Kaja
  full_name: Balzereit, Kaja
  last_name: Balzereit
- first_name: Alexander
  full_name: Diedrich, Alexander
  last_name: Diedrich
- first_name: Daniel
  full_name: Kubus, Daniel
  last_name: Kubus
- first_name: Jonas
  full_name: Ginster, Jonas
  last_name: Ginster
- first_name: Andreas
  full_name: Bunte, Andreas
  last_name: Bunte
citation:
  alphadin: '<span style="font-variant:small-caps;">Balzereit, Kaja</span> ; <span
    style="font-variant:small-caps;">Diedrich, Alexander</span> ; <span style="font-variant:small-caps;">Kubus,
    Daniel</span> ; <span style="font-variant:small-caps;">Ginster, Jonas</span> ;
    <span style="font-variant:small-caps;">Bunte, Andreas</span>: Generating Causal
    Hypotheses for Explaining Black-Box Industrial Processes. In: <i>2022 IEEE 5th
    International Conference on Industrial Cyber-Physical Systems (ICPS)</i> : IEEE,
    2022, S. 1–6'
  ama: 'Balzereit K, Diedrich A, Kubus D, Ginster J, Bunte A. Generating Causal Hypotheses
    for Explaining Black-Box Industrial Processes. In: <i>2022 IEEE 5th International
    Conference on Industrial Cyber-Physical Systems (ICPS)</i>. IEEE; 2022:1-6. doi:<a
    href="https://doi.org/10.1109/ICPS51978.2022.9816879">10.1109/ICPS51978.2022.9816879</a>'
  apa: 'Balzereit, K., Diedrich, A., Kubus, D., Ginster, J., &#38; Bunte, A. (2022).
    Generating Causal Hypotheses for Explaining Black-Box Industrial Processes. In
    <i>2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems
    (ICPS)</i> (pp. 1–6). Coventry, United Kingdom: IEEE. <a href="https://doi.org/10.1109/ICPS51978.2022.9816879">https://doi.org/10.1109/ICPS51978.2022.9816879</a>'
  bibtex: '@inproceedings{Balzereit_Diedrich_Kubus_Ginster_Bunte_2022, title={Generating
    Causal Hypotheses for Explaining Black-Box Industrial Processes}, DOI={<a href="https://doi.org/10.1109/ICPS51978.2022.9816879">10.1109/ICPS51978.2022.9816879</a>},
    booktitle={2022 IEEE 5th International Conference on Industrial Cyber-Physical
    Systems (ICPS)}, publisher={IEEE}, author={Balzereit, Kaja and Diedrich, Alexander
    and Kubus, Daniel and Ginster, Jonas and Bunte, Andreas}, year={2022}, pages={1–6}
    }'
  chicago: Balzereit, Kaja, Alexander Diedrich, Daniel Kubus, Jonas Ginster, and Andreas
    Bunte. “Generating Causal Hypotheses for Explaining Black-Box Industrial Processes.”
    In <i>2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems
    (ICPS)</i>, 1–6. IEEE, 2022. <a href="https://doi.org/10.1109/ICPS51978.2022.9816879">https://doi.org/10.1109/ICPS51978.2022.9816879</a>.
  ieee: K. Balzereit, A. Diedrich, D. Kubus, J. Ginster, and A. Bunte, “Generating
    Causal Hypotheses for Explaining Black-Box Industrial Processes,” in <i>2022 IEEE
    5th International Conference on Industrial Cyber-Physical Systems (ICPS)</i>,
    Coventry, United Kingdom, 2022, pp. 1–6.
  mla: Balzereit, Kaja, et al. “Generating Causal Hypotheses for Explaining Black-Box
    Industrial Processes.” <i>2022 IEEE 5th International Conference on Industrial
    Cyber-Physical Systems (ICPS)</i>, IEEE, 2022, pp. 1–6, doi:<a href="https://doi.org/10.1109/ICPS51978.2022.9816879">10.1109/ICPS51978.2022.9816879</a>.
  short: 'K. Balzereit, A. Diedrich, D. Kubus, J. Ginster, A. Bunte, in: 2022 IEEE
    5th International Conference on Industrial Cyber-Physical Systems (ICPS), IEEE,
    2022, pp. 1–6.'
conference:
  location: Coventry, United Kingdom
  name: 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems
    (ICPS)
date_created: 2026-05-18T14:12:57Z
date_updated: 2026-05-18T14:13:02Z
department:
- _id: '103'
doi: 10.1109/ICPS51978.2022.9816879
language:
- iso: eng
page: 1-6
publication: 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems
  (ICPS)
publication_identifier:
  eisbn:
  - 978-1-6654-9770-1
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Generating Causal Hypotheses for Explaining Black-Box Industrial Processes
type: conference
user_id: '255787'
year: '2022'
...
