---
_id: '61820'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n          <jats:p>A scoring list is
    a sequence of simple decision models, where features are incrementally evaluated
    and scores of satisfied features are summed to be used for threshold-based decisions
    or for calculating class probabilities. In this paper, we introduce a new multi-class
    variant and compare it against previously introduced binary classification variants
    for incremental decisions, as well as multi-class variants for classical decision-making
    using all features. Furthermore, we introduce a new multi-class dataset to assess
    collaborative human-machine decision-making, which is suitable for user studies
    with non-expert participants. We demonstrate the usefulness of our approach by
    evaluating predictive performance and compared to the performance of participants
    without AI help.</jats:p>"
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Jonas
  full_name: Hanselle, Jonas
  last_name: Hanselle
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid S, Kornowicz J, Hanselle J, Thommes K, Hüllermeier E. MSL: Multi-class
    Scoring Lists for Interpretable Incremental Decision-Making. In: <i>Communications
    in Computer and Information Science</i>. Springer Nature Switzerland; 2025. doi:<a
    href="https://doi.org/10.1007/978-3-032-08327-2_6">10.1007/978-3-032-08327-2_6</a>'
  apa: 'Heid, S., Kornowicz, J., Hanselle, J., Thommes, K., &#38; Hüllermeier, E.
    (2025). MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making.
    In <i>Communications in Computer and Information Science</i>. Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-032-08327-2_6">https://doi.org/10.1007/978-3-032-08327-2_6</a>'
  bibtex: '@inbook{Heid_Kornowicz_Hanselle_Thommes_Hüllermeier_2025, place={Cham},
    title={MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making},
    DOI={<a href="https://doi.org/10.1007/978-3-032-08327-2_6">10.1007/978-3-032-08327-2_6</a>},
    booktitle={Communications in Computer and Information Science}, publisher={Springer
    Nature Switzerland}, author={Heid, Stefan and Kornowicz, Jaroslaw and Hanselle,
    Jonas and Thommes, Kirsten and Hüllermeier, Eyke}, year={2025} }'
  chicago: 'Heid, Stefan, Jaroslaw Kornowicz, Jonas Hanselle, Kirsten Thommes, and
    Eyke Hüllermeier. “MSL: Multi-Class Scoring Lists for Interpretable Incremental
    Decision-Making.” In <i>Communications in Computer and Information Science</i>.
    Cham: Springer Nature Switzerland, 2025. <a href="https://doi.org/10.1007/978-3-032-08327-2_6">https://doi.org/10.1007/978-3-032-08327-2_6</a>.'
  ieee: 'S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, and E. Hüllermeier, “MSL:
    Multi-class Scoring Lists for Interpretable Incremental Decision-Making,” in <i>Communications
    in Computer and Information Science</i>, Cham: Springer Nature Switzerland, 2025.'
  mla: 'Heid, Stefan, et al. “MSL: Multi-Class Scoring Lists for Interpretable Incremental
    Decision-Making.” <i>Communications in Computer and Information Science</i>, Springer
    Nature Switzerland, 2025, doi:<a href="https://doi.org/10.1007/978-3-032-08327-2_6">10.1007/978-3-032-08327-2_6</a>.'
  short: 'S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, E. Hüllermeier, in: Communications
    in Computer and Information Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-10-13T13:34:36Z
date_updated: 2025-10-13T13:35:11Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-032-08327-2_6
language:
- iso: eng
place: Cham
project:
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Communications in Computer and Information Science
publication_identifier:
  isbn:
  - '9783032083265'
  - '9783032083272'
  issn:
  - 1865-0929
  - 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making'
type: book_chapter
user_id: '72497'
year: '2025'
...
---
_id: '54911'
article_number: '109190'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues
    for situated decision making: The case of scoring systems. <i>International Journal
    of Approximate Reasoning</i>. 2024;171. doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>'
  apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning
    decision catalogues for situated decision making: The case of scoring systems.
    <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190.
    <a href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>'
  bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
    catalogues for situated decision making: The case of scoring systems}, volume={171},
    DOI={<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>},
    number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier
    BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and
    Hüllermeier, Eyke}, year={2024} }'
  chicago: 'Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier.
    “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring
    Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>.'
  ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
    catalogues for situated decision making: The case of scoring systems,” <i>International
    Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
    The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>,
    vol. 171, 109190, Elsevier BV, 2024, doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  short: S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal
    of Approximate Reasoning 171 (2024).
date_created: 2024-06-26T14:28:07Z
date_updated: 2024-06-26T14:28:47Z
department:
- _id: '660'
doi: 10.1016/j.ijar.2024.109190
intvolume: '       171'
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: International Journal of Approximate Reasoning
publication_identifier:
  issn:
  - 0888-613X
publication_status: published
publisher: Elsevier BV
status: public
title: 'Learning decision catalogues for situated decision making: The case of scoring
  systems'
type: journal_article
user_id: '72497'
volume: 171
year: '2024'
...
---
_id: '54910'
article_number: '109190'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues
    for situated decision making: The case of scoring systems. <i>International Journal
    of Approximate Reasoning</i>. 2024;171. doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>'
  apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning
    decision catalogues for situated decision making: The case of scoring systems.
    <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190.
    <a href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>'
  bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
    catalogues for situated decision making: The case of scoring systems}, volume={171},
    DOI={<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>},
    number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier
    BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and
    Hüllermeier, Eyke}, year={2024} }'
  chicago: 'Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier.
    “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring
    Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>.'
  ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
    catalogues for situated decision making: The case of scoring systems,” <i>International
    Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
    The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>,
    vol. 171, 109190, Elsevier BV, 2024, doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  short: S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal
    of Approximate Reasoning 171 (2024).
date_created: 2024-06-26T14:27:27Z
date_updated: 2024-06-26T14:27:42Z
department:
- _id: '178'
- _id: '184'
doi: 10.1016/j.ijar.2024.109190
intvolume: '       171'
language:
- iso: eng
publication: International Journal of Approximate Reasoning
publication_identifier:
  issn:
  - 0888-613X
publication_status: published
publisher: Elsevier BV
status: public
title: 'Learning decision catalogues for situated decision making: The case of scoring
  systems'
type: journal_article
user_id: '72497'
volume: 171
year: '2024'
...
---
_id: '54907'
article_number: '109190'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues
    for situated decision making: The case of scoring systems. <i>International Journal
    of Approximate Reasoning</i>. 2024;171. doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>'
  apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning
    decision catalogues for situated decision making: The case of scoring systems.
    <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190.
    <a href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>'
  bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
    catalogues for situated decision making: The case of scoring systems}, volume={171},
    DOI={<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>},
    number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier
    BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and
    Hüllermeier, Eyke}, year={2024} }'
  chicago: 'Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier.
    “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring
    Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>.'
  ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
    catalogues for situated decision making: The case of scoring systems,” <i>International
    Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
    The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>,
    vol. 171, 109190, Elsevier BV, 2024, doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  short: S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal
    of Approximate Reasoning 171 (2024).
date_created: 2024-06-26T14:19:19Z
date_updated: 2024-11-20T09:44:54Z
department:
- _id: '660'
doi: 10.1016/j.ijar.2024.109190
intvolume: '       171'
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: International Journal of Approximate Reasoning
publication_identifier:
  issn:
  - 0888-613X
publication_status: published
publisher: Elsevier BV
status: public
title: 'Learning decision catalogues for situated decision making: The case of scoring
  systems'
type: journal_article
user_id: '72497'
volume: 171
year: '2024'
...
---
_id: '57645'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: 'Heid S, Kornowicz J, Hanselle JM, Hüllermeier E, Thommes K. Human-AI Co-Construction
    of Interpretable Predictive Models: The Case of Scoring Systems. In: <i>PROCEEDINGS
    34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>. Vol 21. ; 2024:233.'
  apa: 'Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., &#38; Thommes,
    K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case
    of Scoring Systems. <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>,
    <i>21</i>, 233.'
  bibtex: '@inproceedings{Heid_Kornowicz_Hanselle_Hüllermeier_Thommes_2024, title={Human-AI
    Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems},
    volume={21}, booktitle={PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE},
    author={Heid, Stefan and Kornowicz, Jaroslaw and Hanselle, Jonas Manuel and Hüllermeier,
    Eyke and Thommes, Kirsten}, year={2024}, pages={233} }'
  chicago: 'Heid, Stefan, Jaroslaw Kornowicz, Jonas Manuel Hanselle, Eyke Hüllermeier,
    and Kirsten Thommes. “Human-AI Co-Construction of Interpretable Predictive Models:
    The Case of Scoring Systems.” In <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>,
    21:233, 2024.'
  ieee: 'S. Heid, J. Kornowicz, J. M. Hanselle, E. Hüllermeier, and K. Thommes, “Human-AI
    Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems,”
    in <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>, 2024, vol. 21,
    p. 233.'
  mla: 'Heid, Stefan, et al. “Human-AI Co-Construction of Interpretable Predictive
    Models: The Case of Scoring Systems.” <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL
    INTELLIGENCE</i>, vol. 21, 2024, p. 233.'
  short: 'S. Heid, J. Kornowicz, J.M. Hanselle, E. Hüllermeier, K. Thommes, in: PROCEEDINGS
    34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 2024, p. 233.'
date_created: 2024-12-09T08:05:54Z
date_updated: 2024-12-09T08:06:37Z
department:
- _id: '178'
- _id: '184'
intvolume: '        21'
language:
- iso: eng
page: '233'
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE
status: public
title: 'Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring
  Systems'
type: conference
user_id: '72497'
volume: 21
year: '2024'
...
---
_id: '51209'
author:
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Hanselle JM, Kornowicz J, Heid S, Thommes K, Hüllermeier E. Comparing Humans
    and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. In: Leyer
    M, Wichmann J, eds. <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>. ; 2023.'
  apa: 'Hanselle, J. M., Kornowicz, J., Heid, S., Thommes, K., &#38; Hüllermeier,
    E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in
    the Medical Domain. In M. Leyer &#38; J. Wichmann (Eds.), <i>LWDA’23: Learning,
    Knowledge, Data, Analysis. </i>.'
  bibtex: '@inproceedings{Hanselle_Kornowicz_Heid_Thommes_Hüllermeier_2023, title={Comparing
    Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain},
    booktitle={LWDA’23: Learning, Knowledge, Data, Analysis. }, author={Hanselle,
    Jonas Manuel and Kornowicz, Jaroslaw and Heid, Stefan and Thommes, Kirsten and
    Hüllermeier, Eyke}, editor={Leyer, M and Wichmann, J}, year={2023} }'
  chicago: 'Hanselle, Jonas Manuel, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes,
    and Eyke Hüllermeier. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study
    in the Medical Domain.” In <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>,
    edited by M Leyer and J Wichmann, 2023.'
  ieee: 'J. M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, and E. Hüllermeier, “Comparing
    Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain,”
    in <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, 2023.'
  mla: 'Hanselle, Jonas Manuel, et al. “Comparing Humans and Algorithms in Feature
    Ranking: A Case-Study in the Medical Domain.” <i>LWDA’23: Learning, Knowledge,
    Data, Analysis. </i>, edited by M Leyer and J Wichmann, 2023.'
  short: 'J.M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: M.
    Leyer, J. Wichmann (Eds.), LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.'
date_created: 2024-02-07T09:24:37Z
date_updated: 2024-12-09T08:09:28Z
department:
- _id: '178'
- _id: '184'
editor:
- first_name: M
  full_name: Leyer, M
  last_name: Leyer
- first_name: J
  full_name: Wichmann, J
  last_name: Wichmann
language:
- iso: eng
main_file_link:
- url: https://ceur-ws.org/Vol-3630/LWDA2023-paper38.pdf
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: 'LWDA’23: Learning, Knowledge, Data, Analysis. '
publication_identifier:
  issn:
  - 1613-0073
status: public
title: 'Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical
  Domain'
type: conference
user_id: '72497'
year: '2023'
...
---
_id: '29653'
author:
- first_name: Daniel
  full_name: Weber, Daniel
  id: '24041'
  last_name: Weber
  orcid: 0000-0003-3367-5998
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Henrik
  full_name: Bode, Henrik
  id: '40880'
  last_name: Bode
- first_name: Jarren
  full_name: Lange, Jarren
  id: '78801'
  last_name: Lange
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  last_name: Hüllermeier
- first_name: Oliver
  full_name: Wallscheid, Oliver
  id: '11291'
  last_name: Wallscheid
  orcid: https://orcid.org/0000-0001-9362-8777
citation:
  ama: 'Weber D, Heid S, Bode H, Lange J, Hüllermeier E, Wallscheid O. Safe Bayesian
    Optimization for Data-Driven Power Electronics Control Design in Microgrids: From
    Simulations to Real-World Experiments. <i>IEEE Access</i>. 2021;9:35654–35669.
    doi:<a href="https://doi.org/10.1109/ACCESS.2021.3062144">10.1109/ACCESS.2021.3062144</a>'
  apa: 'Weber, D., Heid, S., Bode, H., Lange, J., Hüllermeier, E., &#38; Wallscheid,
    O. (2021). Safe Bayesian Optimization for Data-Driven Power Electronics Control
    Design in Microgrids: From Simulations to Real-World Experiments. <i>IEEE Access</i>,
    <i>9</i>, 35654–35669. <a href="https://doi.org/10.1109/ACCESS.2021.3062144">https://doi.org/10.1109/ACCESS.2021.3062144</a>'
  bibtex: '@article{Weber_Heid_Bode_Lange_Hüllermeier_Wallscheid_2021, title={Safe
    Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids:
    From Simulations to Real-World Experiments}, volume={9}, DOI={<a href="https://doi.org/10.1109/ACCESS.2021.3062144">10.1109/ACCESS.2021.3062144</a>},
    journal={IEEE Access}, publisher={IEEE}, author={Weber, Daniel and Heid, Stefan
    and Bode, Henrik and Lange, Jarren and Hüllermeier, Eyke and Wallscheid, Oliver},
    year={2021}, pages={35654–35669} }'
  chicago: 'Weber, Daniel, Stefan Heid, Henrik Bode, Jarren Lange, Eyke Hüllermeier,
    and Oliver Wallscheid. “Safe Bayesian Optimization for Data-Driven Power Electronics
    Control Design in Microgrids: From Simulations to Real-World Experiments.” <i>IEEE
    Access</i> 9 (2021): 35654–35669. <a href="https://doi.org/10.1109/ACCESS.2021.3062144">https://doi.org/10.1109/ACCESS.2021.3062144</a>.'
  ieee: 'D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, and O. Wallscheid,
    “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in
    Microgrids: From Simulations to Real-World Experiments,” <i>IEEE Access</i>, vol.
    9, pp. 35654–35669, 2021, doi: <a href="https://doi.org/10.1109/ACCESS.2021.3062144">10.1109/ACCESS.2021.3062144</a>.'
  mla: 'Weber, Daniel, et al. “Safe Bayesian Optimization for Data-Driven Power Electronics
    Control Design in Microgrids: From Simulations to Real-World Experiments.” <i>IEEE
    Access</i>, vol. 9, IEEE, 2021, pp. 35654–35669, doi:<a href="https://doi.org/10.1109/ACCESS.2021.3062144">10.1109/ACCESS.2021.3062144</a>.'
  short: D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE
    Access 9 (2021) 35654–35669.
date_created: 2022-01-28T14:11:05Z
date_updated: 2022-02-23T08:34:42Z
department:
- _id: '52'
- _id: '57'
doi: 10.1109/ACCESS.2021.3062144
intvolume: '         9'
language:
- iso: eng
page: 35654–35669
publication: IEEE Access
publisher: IEEE
status: public
title: 'Safe Bayesian Optimization for Data-Driven Power Electronics Control Design
  in Microgrids: From Simulations to Real-World Experiments'
type: journal_article
user_id: '66'
volume: 9
year: '2021'
...
---
_id: '19603'
abstract:
- lang: eng
  text: "Micro- and smart grids (MSG) play an important role both for integrating\r\nrenewable
    energy sources in conventional electricity grids and for providing\r\npower supply
    in remote areas. Modern MSGs are largely driven by power\r\nelectronic converters
    due to their high efficiency and flexibility.\r\nNevertheless, controlling MSGs
    is a challenging task due to highest\r\nrequirements on energy availability, safety
    and voltage quality within a wide\r\nrange of different MSG topologies. This results
    in a high demand for\r\ncomprehensive testing of new control concepts during their
    development phase\r\nand comparisons with the state of the art in order to ensure
    their feasibility.\r\nThis applies in particular to data-driven control approaches
    from the field of\r\nreinforcement learning (RL), whose stability and operating
    behavior can hardly\r\nbe evaluated a priori. Therefore, the OpenModelica Microgrid
    Gym (OMG) package,\r\nan open-source software toolbox for the simulation and control
    optimization of\r\nMSGs, is proposed. It is capable of modeling and simulating
    arbitrary MSG\r\ntopologies and offers a Python-based interface for plug \\& play
    controller\r\ntesting. In particular, the standardized OpenAI Gym interface allows
    for easy\r\nRL-based controller integration. Besides the presentation of the OMG
    toolbox,\r\napplication examples are highlighted including safe Bayesian optimization
    for\r\nlow-level controller tuning."
author:
- first_name: Henrik
  full_name: Bode, Henrik
  last_name: Bode
- first_name: Stefan Helmut
  full_name: Heid, Stefan Helmut
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Daniel
  full_name: Weber, Daniel
  last_name: Weber
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
- first_name: Oliver
  full_name: Wallscheid, Oliver
  last_name: Wallscheid
citation:
  ama: Bode H, Heid SH, Weber D, Hüllermeier E, Wallscheid O. Towards a Scalable and
    Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid
    Control. <i>arXiv:200504869</i>. 2020.
  apa: Bode, H., Heid, S. H., Weber, D., Hüllermeier, E., &#38; Wallscheid, O. (2020).
    Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for
    Intelligent Microgrid Control. <i>ArXiv:2005.04869</i>.
  bibtex: '@article{Bode_Heid_Weber_Hüllermeier_Wallscheid_2020, title={Towards a
    Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent
    Microgrid Control}, journal={arXiv:2005.04869}, author={Bode, Henrik and Heid,
    Stefan Helmut and Weber, Daniel and Hüllermeier, Eyke and Wallscheid, Oliver},
    year={2020} }'
  chicago: Bode, Henrik, Stefan Helmut Heid, Daniel Weber, Eyke Hüllermeier, and Oliver
    Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment 
    Toolbox for Intelligent Microgrid Control.” <i>ArXiv:2005.04869</i>, 2020.
  ieee: H. Bode, S. H. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards
    a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent
    Microgrid Control,” <i>arXiv:2005.04869</i>. 2020.
  mla: Bode, Henrik, et al. “Towards a Scalable and Flexible Simulation and Testing
    Environment  Toolbox for Intelligent Microgrid Control.” <i>ArXiv:2005.04869</i>,
    2020.
  short: H. Bode, S.H. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv:2005.04869
    (2020).
date_created: 2020-09-21T10:01:36Z
date_updated: 2022-01-06T06:54:07Z
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/pdf/2005.04869.pdf
oa: '1'
publication: arXiv:2005.04869
status: public
title: Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox
  for Intelligent Microgrid Control
type: preprint
user_id: '39640'
year: '2020'
...
---
_id: '24146'
author:
- first_name: Stefan Helmut
  full_name: Heid, Stefan Helmut
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Arunselvan
  full_name: Ramaswamy, Arunselvan
  id: '66937'
  last_name: Ramaswamy
  orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid SH, Ramaswamy A, Hüllermeier E. Constrained Multi-Agent Optimization
    with Unbounded Information Delay. In: <i>Proceedings-30. Workshop Computational
    Intelligence: Berlin, 26.-27. November 2020</i>. Vol 26. ; 2020:247.'
  apa: 'Heid, S. H., Ramaswamy, A., &#38; Hüllermeier, E. (2020). Constrained Multi-Agent
    Optimization with Unbounded Information Delay. <i>Proceedings-30. Workshop Computational
    Intelligence: Berlin, 26.-27. November 2020</i>, <i>26</i>, 247.'
  bibtex: '@inproceedings{Heid_Ramaswamy_Hüllermeier_2020, title={Constrained Multi-Agent
    Optimization with Unbounded Information Delay}, volume={26}, booktitle={Proceedings-30.
    Workshop Computational Intelligence: Berlin, 26.-27. November 2020}, author={Heid,
    Stefan Helmut and Ramaswamy, Arunselvan and Hüllermeier, Eyke}, year={2020}, pages={247}
    }'
  chicago: 'Heid, Stefan Helmut, Arunselvan Ramaswamy, and Eyke Hüllermeier. “Constrained
    Multi-Agent Optimization with Unbounded Information Delay.” In <i>Proceedings-30.
    Workshop Computational Intelligence: Berlin, 26.-27. November 2020</i>, 26:247,
    2020.'
  ieee: 'S. H. Heid, A. Ramaswamy, and E. Hüllermeier, “Constrained Multi-Agent Optimization
    with Unbounded Information Delay,” in <i>Proceedings-30. Workshop Computational
    Intelligence: Berlin, 26.-27. November 2020</i>, 2020, vol. 26, p. 247.'
  mla: 'Heid, Stefan Helmut, et al. “Constrained Multi-Agent Optimization with Unbounded
    Information Delay.” <i>Proceedings-30. Workshop Computational Intelligence: Berlin,
    26.-27. November 2020</i>, vol. 26, 2020, p. 247.'
  short: 'S.H. Heid, A. Ramaswamy, E. Hüllermeier, in: Proceedings-30. Workshop Computational
    Intelligence: Berlin, 26.-27. November 2020, 2020, p. 247.'
date_created: 2021-09-10T09:59:16Z
date_updated: 2022-01-06T06:56:08Z
intvolume: '        26'
language:
- iso: eng
page: '247'
publication: 'Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27.
  November 2020'
status: public
title: Constrained Multi-Agent Optimization with Unbounded Information Delay
type: conference
user_id: '66937'
volume: 26
year: '2020'
...
---
_id: '17605'
abstract:
- lang: eng
  text: "Syntactic annotation of corpora in the form of part-of-speech (POS) tags
    is a key requirement for both linguistic research and subsequent automated natural
    language processing (NLP) tasks. This problem is commonly tackled using machine
    learning methods, i.e., by training a POS tagger on a sufficiently large corpus
    of labeled data. \r\nWhile the problem of POS tagging can essentially be considered
    as solved for modern languages, historical corpora turn out to be much more difficult,
    especially due to the lack of native speakers and sparsity of training data. Moreover,
    most texts have no sentences as we know them today, nor a common orthography.\r\nThese
    irregularities render the task of automated POS tagging more difficult and error-prone.
    Under these circumstances, instead  of forcing the POS tagger to predict and commit
    to a single tag, it should be enabled to express its uncertainty. In this paper,
    we consider POS tagging within the framework of set-valued prediction, which allows
    the POS tagger to express its uncertainty via predicting a set of candidate POS
    tags instead of guessing a single one. The goal is to guarantee a high confidence
    that the correct POS tag is included while keeping the number of candidates small.\r\nIn
    our experimental study, we find that extending state-of-the-art POS taggers to
    set-valued prediction yields more precise and robust taggings, especially for
    unknown words, i.e., words not occurring in the training data."
author:
- first_name: Stefan Helmut
  full_name: Heid, Stefan Helmut
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Marcel Dominik
  full_name: Wever, Marcel Dominik
  id: '33176'
  last_name: Wever
  orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: Heid SH, Wever MD, Hüllermeier E. Reliable Part-of-Speech Tagging of Historical
    Corpora through Set-Valued Prediction. <i>Journal of Data Mining and Digital Humanities</i>.
  apa: Heid, S. H., Wever, M. D., &#38; Hüllermeier, E. (n.d.). Reliable Part-of-Speech
    Tagging of Historical Corpora through Set-Valued Prediction. In <i>Journal of
    Data Mining and Digital Humanities</i>. episciences.
  bibtex: '@article{Heid_Wever_Hüllermeier, title={Reliable Part-of-Speech Tagging
    of Historical Corpora through Set-Valued Prediction}, journal={Journal of Data
    Mining and Digital Humanities}, publisher={episciences}, author={Heid, Stefan
    Helmut and Wever, Marcel Dominik and Hüllermeier, Eyke} }'
  chicago: Heid, Stefan Helmut, Marcel Dominik Wever, and Eyke Hüllermeier. “Reliable
    Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction.” <i>Journal
    of Data Mining and Digital Humanities</i>. episciences, n.d.
  ieee: S. H. Heid, M. D. Wever, and E. Hüllermeier, “Reliable Part-of-Speech Tagging
    of Historical Corpora through Set-Valued Prediction,” <i>Journal of Data Mining
    and Digital Humanities</i>. episciences.
  mla: Heid, Stefan Helmut, et al. “Reliable Part-of-Speech Tagging of Historical
    Corpora through Set-Valued Prediction.” <i>Journal of Data Mining and Digital
    Humanities</i>, episciences.
  short: S.H. Heid, M.D. Wever, E. Hüllermeier, Journal of Data Mining and Digital
    Humanities (n.d.).
date_created: 2020-08-05T06:52:53Z
date_updated: 2022-01-06T06:53:15Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2008.01377
oa: '1'
project:
- _id: '39'
  name: InterGramm
publication: Journal of Data Mining and Digital Humanities
publication_status: submitted
publisher: episciences
status: public
title: Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
type: preprint
user_id: '5786'
year: '2020'
...
---
_id: '29649'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Daniel
  full_name: Weber, Daniel
  id: '24041'
  last_name: Weber
  orcid: 0000-0003-3367-5998
- first_name: Henrik
  full_name: Bode, Henrik
  id: '40880'
  last_name: Bode
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  last_name: Hüllermeier
- first_name: Oliver
  full_name: Wallscheid, Oliver
  id: '11291'
  last_name: Wallscheid
  orcid: https://orcid.org/0000-0001-9362-8777
citation:
  ama: 'Heid S, Weber D, Bode H, Hüllermeier E, Wallscheid O. OMG: A scalable and
    flexible simulation and testing environment toolbox for intelligent microgrid
    control. <i>Journal of Open Source Software</i>. 2020;5(54):2435.'
  apa: 'Heid, S., Weber, D., Bode, H., Hüllermeier, E., &#38; Wallscheid, O. (2020).
    OMG: A scalable and flexible simulation and testing environment toolbox for intelligent
    microgrid control. <i>Journal of Open Source Software</i>, <i>5</i>(54), 2435.'
  bibtex: '@article{Heid_Weber_Bode_Hüllermeier_Wallscheid_2020, title={OMG: A scalable
    and flexible simulation and testing environment toolbox for intelligent microgrid
    control}, volume={5}, number={54}, journal={Journal of Open Source Software},
    author={Heid, Stefan and Weber, Daniel and Bode, Henrik and Hüllermeier, Eyke
    and Wallscheid, Oliver}, year={2020}, pages={2435} }'
  chicago: 'Heid, Stefan, Daniel Weber, Henrik Bode, Eyke Hüllermeier, and Oliver
    Wallscheid. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox
    for Intelligent Microgrid Control.” <i>Journal of Open Source Software</i> 5,
    no. 54 (2020): 2435.'
  ieee: 'S. Heid, D. Weber, H. Bode, E. Hüllermeier, and O. Wallscheid, “OMG: A scalable
    and flexible simulation and testing environment toolbox for intelligent microgrid
    control,” <i>Journal of Open Source Software</i>, vol. 5, no. 54, p. 2435, 2020.'
  mla: 'Heid, Stefan, et al. “OMG: A Scalable and Flexible Simulation and Testing
    Environment Toolbox for Intelligent Microgrid Control.” <i>Journal of Open Source
    Software</i>, vol. 5, no. 54, 2020, p. 2435.'
  short: S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open
    Source Software 5 (2020) 2435.
date_created: 2022-01-28T14:11:04Z
date_updated: 2022-03-02T07:16:15Z
department:
- _id: '52'
- _id: '57'
intvolume: '         5'
issue: '54'
language:
- iso: eng
page: '2435'
publication: Journal of Open Source Software
status: public
title: 'OMG: A scalable and flexible simulation and testing environment toolbox for
  intelligent microgrid control'
type: journal_article
user_id: '11291'
volume: 5
year: '2020'
...
---
_id: '29644'
author:
- first_name: Henrik
  full_name: Bode, Henrik
  id: '40880'
  last_name: Bode
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Daniel
  full_name: Weber, Daniel
  id: '24041'
  last_name: Weber
  orcid: 0000-0003-3367-5998
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  last_name: Hüllermeier
- first_name: Oliver
  full_name: Wallscheid, Oliver
  id: '11291'
  last_name: Wallscheid
  orcid: https://orcid.org/0000-0001-9362-8777
citation:
  ama: Bode H, Heid S, Weber D, Hüllermeier E, Wallscheid O. Towards a scalable and
    flexible simulation and testing environment toolbox for intelligent microgrid
    control. <i>arXiv preprint arXiv:200504869</i>. Published online 2020.
  apa: Bode, H., Heid, S., Weber, D., Hüllermeier, E., &#38; Wallscheid, O. (2020).
    Towards a scalable and flexible simulation and testing environment toolbox for
    intelligent microgrid control. <i>ArXiv Preprint ArXiv:2005.04869</i>.
  bibtex: '@article{Bode_Heid_Weber_Hüllermeier_Wallscheid_2020, title={Towards a
    scalable and flexible simulation and testing environment toolbox for intelligent
    microgrid control}, journal={arXiv preprint arXiv:2005.04869}, author={Bode, Henrik
    and Heid, Stefan and Weber, Daniel and Hüllermeier, Eyke and Wallscheid, Oliver},
    year={2020} }'
  chicago: Bode, Henrik, Stefan Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid.
    “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for
    Intelligent Microgrid Control.” <i>ArXiv Preprint ArXiv:2005.04869</i>, 2020.
  ieee: H. Bode, S. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a
    scalable and flexible simulation and testing environment toolbox for intelligent
    microgrid control,” <i>arXiv preprint arXiv:2005.04869</i>, 2020.
  mla: Bode, Henrik, et al. “Towards a Scalable and Flexible Simulation and Testing
    Environment Toolbox for Intelligent Microgrid Control.” <i>ArXiv Preprint ArXiv:2005.04869</i>,
    2020.
  short: H. Bode, S. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv Preprint
    ArXiv:2005.04869 (2020).
date_created: 2022-01-28T14:11:03Z
date_updated: 2022-03-02T07:17:27Z
department:
- _id: '52'
language:
- iso: eng
publication: arXiv preprint arXiv:2005.04869
status: public
title: Towards a scalable and flexible simulation and testing environment toolbox
  for intelligent microgrid control
type: journal_article
user_id: '11291'
year: '2020'
...