---
_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. International Journal
of Approximate Reasoning. 2024;171. doi:10.1016/j.ijar.2024.109190'
apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning
decision catalogues for situated decision making: The case of scoring systems.
International Journal of Approximate Reasoning, 171, Article 109190.
https://doi.org/10.1016/j.ijar.2024.109190'
bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
catalogues for situated decision making: The case of scoring systems}, volume={171},
DOI={10.1016/j.ijar.2024.109190},
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.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.'
ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
catalogues for situated decision making: The case of scoring systems,” International
Journal of Approximate Reasoning, vol. 171, Art. no. 109190, 2024, doi: 10.1016/j.ijar.2024.109190.'
mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
The Case of Scoring Systems.” International Journal of Approximate Reasoning,
vol. 171, 109190, Elsevier BV, 2024, doi:10.1016/j.ijar.2024.109190.'
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. International Journal
of Approximate Reasoning. 2024;171. doi:10.1016/j.ijar.2024.109190'
apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning
decision catalogues for situated decision making: The case of scoring systems.
International Journal of Approximate Reasoning, 171, Article 109190.
https://doi.org/10.1016/j.ijar.2024.109190'
bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
catalogues for situated decision making: The case of scoring systems}, volume={171},
DOI={10.1016/j.ijar.2024.109190},
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.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.'
ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
catalogues for situated decision making: The case of scoring systems,” International
Journal of Approximate Reasoning, vol. 171, Art. no. 109190, 2024, doi: 10.1016/j.ijar.2024.109190.'
mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
The Case of Scoring Systems.” International Journal of Approximate Reasoning,
vol. 171, 109190, Elsevier BV, 2024, doi:10.1016/j.ijar.2024.109190.'
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. International Journal
of Approximate Reasoning. 2024;171. doi:10.1016/j.ijar.2024.109190'
apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning
decision catalogues for situated decision making: The case of scoring systems.
International Journal of Approximate Reasoning, 171, Article 109190.
https://doi.org/10.1016/j.ijar.2024.109190'
bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
catalogues for situated decision making: The case of scoring systems}, volume={171},
DOI={10.1016/j.ijar.2024.109190},
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.” International Journal of Approximate Reasoning 171 (2024). https://doi.org/10.1016/j.ijar.2024.109190.'
ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
catalogues for situated decision making: The case of scoring systems,” International
Journal of Approximate Reasoning, vol. 171, Art. no. 109190, 2024, doi: 10.1016/j.ijar.2024.109190.'
mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
The Case of Scoring Systems.” International Journal of Approximate Reasoning,
vol. 171, 109190, Elsevier BV, 2024, doi:10.1016/j.ijar.2024.109190.'
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: PROCEEDINGS
34. WORKSHOP COMPUTATIONAL INTELLIGENCE. Vol 21. ; 2024:233.'
apa: 'Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., & Thommes,
K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case
of Scoring Systems. PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE,
21, 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 PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE,
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 PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 2024, vol. 21,
p. 233.'
mla: 'Heid, Stefan, et al. “Human-AI Co-Construction of Interpretable Predictive
Models: The Case of Scoring Systems.” PROCEEDINGS 34. WORKSHOP COMPUTATIONAL
INTELLIGENCE, 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: '51373'
author:
- 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: 'Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable
Machine Learning. In: 26th International Conference on Discovery Science .
Vol 14050. Lecture Notes in Computer Science. Springer Nature Switzerland; 2023:189-203.
doi:10.1007/978-3-031-45275-8_13'
apa: Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic
Scoring Lists for Interpretable Machine Learning. 26th International Conference
on Discovery Science , 14050, 189–203. https://doi.org/10.1007/978-3-031-45275-8_13
bibtex: '@inproceedings{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, series={Lecture
Notes in Computer Science}, title={Probabilistic Scoring Lists for Interpretable
Machine Learning}, volume={14050}, DOI={10.1007/978-3-031-45275-8_13},
booktitle={26th International Conference on Discovery Science }, publisher={Springer
Nature Switzerland}, author={Hanselle, Jonas Manuel and Fürnkranz, Johannes and
Hüllermeier, Eyke}, year={2023}, pages={189–203}, collection={Lecture Notes in
Computer Science} }'
chicago: 'Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic
Scoring Lists for Interpretable Machine Learning.” In 26th International Conference
on Discovery Science , 14050:189–203. Lecture Notes in Computer Science. Cham:
Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.'
ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring
Lists for Interpretable Machine Learning,” in 26th International Conference
on Discovery Science , Porto, 2023, vol. 14050, pp. 189–203, doi: 10.1007/978-3-031-45275-8_13.'
mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable
Machine Learning.” 26th International Conference on Discovery Science ,
vol. 14050, Springer Nature Switzerland, 2023, pp. 189–203, doi:10.1007/978-3-031-45275-8_13.
short: 'J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: 26th International Conference
on Discovery Science , Springer Nature Switzerland, Cham, 2023, pp. 189–203.'
conference:
end_date: 2021-10-11
location: Porto
name: '26th International Conference on Discovery Science '
start_date: 2023-10-9
date_created: 2024-02-18T11:05:55Z
date_updated: 2024-02-26T08:41:49Z
doi: 10.1007/978-3-031-45275-8_13
intvolume: ' 14050'
language:
- iso: eng
page: 189-203
place: Cham
publication: '26th International Conference on Discovery Science '
publication_identifier:
isbn:
- '9783031452741'
- '9783031452758'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
series_title: Lecture Notes in Computer Science
status: public
title: Probabilistic Scoring Lists for Interpretable Machine Learning
type: conference
user_id: '54779'
volume: 14050
year: '2023'
...
---
_id: '54613'
author:
- 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: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: 'Hanselle JM, Hüllermeier E, Mohr F, et al. Configuration and Evaluation. In:
Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly
Computing – Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe
des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:85–104.
doi:10.5281/zenodo.8068466'
apa: Hanselle, J. M., Hüllermeier, E., Mohr, F., Ngonga Ngomo, A.-C., Sherif, M.,
Tornede, A., & Wever, M. D. (2023). Configuration and Evaluation. In C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.),
On-The-Fly Computing – Individualized IT-services in dynamic markets (Vol.
412, pp. 85–104). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068466
bibtex: '@inbook{Hanselle_Hüllermeier_Mohr_Ngonga Ngomo_Sherif_Tornede_Wever_2023,
series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Configuration
and Evaluation}, volume={412}, DOI={10.5281/zenodo.8068466},
booktitle={On-The-Fly Computing – Individualized IT-services in dynamic markets},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Hanselle, Jonas
Manuel and Hüllermeier, Eyke and Mohr, Felix and Ngonga Ngomo, Axel-Cyrille and
Sherif, Mohamed and Tornede, Alexander and Wever, Marcel Dominik}, editor={Haake,
Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth,
Henning and Wehrheim, Heike}, year={2023}, pages={85–104}, collection={Verlagsschriftenreihe
des Heinz Nixdorf Instituts} }'
chicago: Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga
Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration
and Evaluation.” In On-The-Fly Computing – Individualized IT-Services in Dynamic
Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco
Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe
Des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn, 2023.
https://doi.org/10.5281/zenodo.8068466.
ieee: J. M. Hanselle et al., “Configuration and Evaluation,” in On-The-Fly
Computing – Individualized IT-services in dynamic markets, vol. 412, C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds.
Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104.
mla: Hanselle, Jonas Manuel, et al. “Configuration and Evaluation.” On-The-Fly
Computing – Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen
Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp.
85–104, doi:10.5281/zenodo.8068466.
short: 'J.M. Hanselle, E. Hüllermeier, F. Mohr, A.-C. Ngonga Ngomo, M. Sherif, A.
Tornede, M.D. Wever, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H.
Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing – Individualized IT-Services
in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104.'
date_created: 2024-06-04T15:55:56Z
date_updated: 2024-06-04T15:56:45Z
department:
- _id: '574'
doi: 10.5281/zenodo.8068466
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
intvolume: ' 412'
keyword:
- dice ngonga sfb901 sherif
language:
- iso: eng
page: 85–104
publication: On-The-Fly Computing – Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: Configuration and Evaluation
type: book_chapter
user_id: '67199'
volume: 412
year: '2023'
...
---
_id: '54909'
author:
- 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: 'Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable
Machine Learning. In: Discovery Science. Springer Nature Switzerland; 2023.
doi:10.1007/978-3-031-45275-8_13'
apa: Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic
Scoring Lists for Interpretable Machine Learning. In Discovery Science.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45275-8_13
bibtex: '@inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic
Scoring Lists for Interpretable Machine Learning}, DOI={10.1007/978-3-031-45275-8_13},
booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle,
Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} }'
chicago: 'Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic
Scoring Lists for Interpretable Machine Learning.” In Discovery Science.
Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.'
ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring
Lists for Interpretable Machine Learning,” in Discovery Science, Cham:
Springer Nature Switzerland, 2023.'
mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable
Machine Learning.” Discovery Science, Springer Nature Switzerland, 2023,
doi:10.1007/978-3-031-45275-8_13.
short: 'J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer
Nature Switzerland, Cham, 2023.'
date_created: 2024-06-26T14:24:29Z
date_updated: 2024-06-26T14:25:50Z
department:
- _id: '660'
doi: 10.1007/978-3-031-45275-8_13
language:
- iso: eng
place: Cham
project:
- _id: '125'
name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Discovery Science
publication_identifier:
isbn:
- '9783031452741'
- '9783031452758'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Probabilistic Scoring Lists for Interpretable Machine Learning
type: book_chapter
user_id: '72497'
year: '2023'
...
---
_id: '45884'
author:
- 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: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: 'Hanselle JM, Hüllermeier E, Mohr F, et al. Configuration and Evaluation. In:
Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe
des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:85-104.
doi:10.5281/zenodo.8068466'
apa: Hanselle, J. M., Hüllermeier, E., Mohr, F., Ngonga Ngomo, A.-C., Sherif, M.,
Tornede, A., & Wever, M. D. (2023). Configuration and Evaluation. In C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.),
On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol.
412, pp. 85–104). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068466
bibtex: '@inbook{Hanselle_Hüllermeier_Mohr_Ngonga Ngomo_Sherif_Tornede_Wever_2023,
place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts},
title={Configuration and Evaluation}, volume={412}, DOI={10.5281/zenodo.8068466},
booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Hanselle, Jonas
Manuel and Hüllermeier, Eyke and Mohr, Felix and Ngonga Ngomo, Axel-Cyrille and
Sherif, Mohamed and Tornede, Alexander and Wever, Marcel Dominik}, editor={Haake,
Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth,
Henning and Wehrheim, Heike}, year={2023}, pages={85–104}, collection={Verlagsschriftenreihe
des Heinz Nixdorf Instituts} }'
chicago: 'Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga
Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration
and Evaluation.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic
Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco
Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe
Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn,
2023. https://doi.org/10.5281/zenodo.8068466.'
ieee: 'J. M. Hanselle et al., “Configuration and Evaluation,” in On-The-Fly
Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J.
Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds.
Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104.'
mla: Hanselle, Jonas Manuel, et al. “Configuration and Evaluation.” On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen
Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp.
85–104, doi:10.5281/zenodo.8068466.
short: 'J.M. Hanselle, E. Hüllermeier, F. Mohr, A.-C. Ngonga Ngomo, M. Sherif, A.
Tornede, M.D. Wever, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H.
Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn,
2023, pp. 85–104.'
date_created: 2023-07-07T07:50:53Z
date_updated: 2023-07-07T11:20:12Z
ddc:
- '040'
department:
- _id: '7'
doi: 10.5281/zenodo.8068466
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
file:
- access_level: open_access
content_type: application/pdf
creator: florida
date_created: 2023-07-07T07:50:34Z
date_updated: 2023-07-07T11:20:11Z
file_id: '45885'
file_name: B2-Chapter-SFB-Buch-Final.pdf
file_size: 895091
relation: main_file
file_date_updated: 2023-07-07T11:20:11Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: 85-104
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '10'
grant_number: '160364472'
name: 'SFB 901 - B2: Konfiguration und Bewertung (B02)'
publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: Configuration and Evaluation
type: book_chapter
user_id: '477'
volume: 412
year: '2023'
...
---
_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. LWDA’23: Learning, Knowledge, Data, Analysis. . ; 2023.'
apa: 'Hanselle, J. M., Kornowicz, J., Heid, S., Thommes, K., & Hüllermeier,
E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in
the Medical Domain. In M. Leyer & J. Wichmann (Eds.), LWDA’23: Learning,
Knowledge, Data, Analysis. .'
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 LWDA’23: Learning, Knowledge, Data, Analysis. ,
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 LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.'
mla: 'Hanselle, Jonas Manuel, et al. “Comparing Humans and Algorithms in Feature
Ranking: A Case-Study in the Medical Domain.” LWDA’23: Learning, Knowledge,
Data, Analysis. , 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: '34103'
abstract:
- lang: eng
text: "It is well known that different algorithms perform differently well on an\r\ninstance
of an algorithmic problem, motivating algorithm selection (AS): Given\r\nan instance
of an algorithmic problem, which is the most suitable algorithm to\r\nsolve it?
As such, the AS problem has received considerable attention resulting\r\nin various
approaches - many of which either solve a regression or ranking\r\nproblem under
the hood. Although both of these formulations yield very natural\r\nways to tackle
AS, they have considerable weaknesses. On the one hand,\r\ncorrectly predicting
the performance of an algorithm on an instance is a\r\nsufficient, but not a necessary
condition to produce a correct ranking over\r\nalgorithms and in particular ranking
the best algorithm first. On the other\r\nhand, classical ranking approaches often
do not account for concrete\r\nperformance values available in the training data,
but only leverage rankings\r\ncomposed from such data. We propose HARRIS- Hybrid
rAnking and RegRessIon\r\nforeSts - a new algorithm selector leveraging special
forests, combining the\r\nstrengths of both approaches while alleviating their
weaknesses. HARRIS'\r\ndecisions are based on a forest model, whose trees are
created based on splits\r\noptimized on a hybrid ranking and regression loss function.
As our preliminary\r\nexperimental study on ASLib shows, HARRIS improves over
standard algorithm\r\nselection approaches on some scenarios showing that combining
ranking and\r\nregression in trees is indeed promising for AS."
author:
- first_name: Lukass
full_name: Fehring, Lukass
last_name: Fehring
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
citation:
ama: 'Fehring L, Hanselle JM, Tornede A. HARRIS: Hybrid Ranking and Regression Forests
for Algorithm Selection. In: Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS
2022. ; 2022.'
apa: 'Fehring, L., Hanselle, J. M., & Tornede, A. (2022). HARRIS: Hybrid Ranking
and Regression Forests for Algorithm Selection. Workshop on Meta-Learning (MetaLearn
2022) @ NeurIPS 2022. Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS
2022, Baltimore.'
bibtex: '@inproceedings{Fehring_Hanselle_Tornede_2022, title={HARRIS: Hybrid Ranking
and Regression Forests for Algorithm Selection}, booktitle={Workshop on Meta-Learning
(MetaLearn 2022) @ NeurIPS 2022}, author={Fehring, Lukass and Hanselle, Jonas
Manuel and Tornede, Alexander}, year={2022} }'
chicago: 'Fehring, Lukass, Jonas Manuel Hanselle, and Alexander Tornede. “HARRIS:
Hybrid Ranking and Regression Forests for Algorithm Selection.” In Workshop
on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, 2022.'
ieee: 'L. Fehring, J. M. Hanselle, and A. Tornede, “HARRIS: Hybrid Ranking and Regression
Forests for Algorithm Selection,” presented at the Workshop on Meta-Learning (MetaLearn
2022) @ NeurIPS 2022, Baltimore, 2022.'
mla: 'Fehring, Lukass, et al. “HARRIS: Hybrid Ranking and Regression Forests for
Algorithm Selection.” Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS
2022, 2022.'
short: 'L. Fehring, J.M. Hanselle, A. Tornede, in: Workshop on Meta-Learning (MetaLearn
2022) @ NeurIPS 2022, 2022.'
conference:
location: Baltimore
name: Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022
date_created: 2022-11-17T12:57:40Z
date_updated: 2022-11-17T13:00:53Z
external_id:
arxiv:
- '2210.17341'
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '10'
name: 'SFB 901 - B2: SFB 901 - Subproject B2'
publication: Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022
status: public
title: 'HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection'
type: conference
user_id: '38209'
year: '2022'
...
---
_id: '23779'
abstract:
- lang: ger
text: "Produktentstehung (PE) bezieht sich auf den Prozess der Planung und Entwicklung
eines Produkts sowie der damit verbundenen Dienstleistungen von der ersten Idee
bis zur Herstellung und zum Vertrieb. Während dieses Prozesses gibt es zahlreiche
Aufgaben, die von menschlichem Fachwissen abhängen und typischerweise von erfahrenen
Experten übernommen werden. Da sich das Feld der Künstlichen Intelligenz (KI)
immer weiterentwickelt und seinen Weg in den Fertigungssektor findet, gibt es
viele Möglichkeiten für eine Anwendung von KI, um bei der Lösung der oben genannten
Aufgaben zu helfen. In diesem Paper geben wir einen umfassenden Überblick über
den aktuellen Stand der Technik des Einsatzes von KI in der PE. \r\nIm Detail
analysieren wir 40 bestehende Surveys zu KI in der PE und 94 Case Studies, um
herauszufinden, welche Bereiche der PE von der aktuellen Forschung in diesem Bereich
vorrangig adressiert werden, wie ausgereift die diskutierten KI-Methoden sind
und inwieweit datenzentrierte Ansätze in der aktuellen Forschung genutzt werden."
- lang: eng
text: "Product Creation (PC) refers to the process of planning and developing a
product as well as related services from the initial idea until manufacturing
and distribution. Throughout this process, there are numerous tasks that depend
on human expertise and are typically undertaken by experienced practitioners.
As the field of Artificial Intelligence (AI) continues to evolve and finds its
way into the manufacturing sector, there exist many possibilities for an application
of AI in order to assist in solving aforementioned tasks. In this work, we provide
a comprehensive overview of the current state of the art of the use of AI in PC.
\r\nIn detail, we analyze 40 existing surveys on AI in PC and 94 case studies
in order to find out which areas of PC are primarily addressed by current research
in this field, how mature the discussed AI methods are, and to which extent data-centric
approaches are utilized in current research."
author:
- first_name: Ruslan
full_name: Bernijazov, Ruslan
last_name: Bernijazov
- first_name: Alexander
full_name: Dicks, Alexander
last_name: Dicks
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Marc
full_name: Foullois, Marc
last_name: Foullois
- 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: Gökce
full_name: Karakaya, Gökce
last_name: Karakaya
- first_name: Patrick
full_name: Ködding, Patrick
id: '45402'
last_name: Ködding
- first_name: Volker
full_name: Lohweg, Volker
last_name: Lohweg
- first_name: Manuel
full_name: Malatyali, Manuel
id: '41265'
last_name: Malatyali
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Melina
full_name: Panzner, Melina
last_name: Panzner
- first_name: Christian
full_name: Soltenborn, Christian
id: '1737'
last_name: Soltenborn
orcid: 0000-0002-0342-8227
citation:
ama: 'Bernijazov R, Dicks A, Dumitrescu R, et al. A Meta-Review on Artificial Intelligence
in Product Creation. In: Proceedings of the 30th International Joint Conference
on Artificial Intelligence (IJCAI-21). ; 2021.'
apa: Bernijazov, R., Dicks, A., Dumitrescu, R., Foullois, M., Hanselle, J. M., Hüllermeier,
E., Karakaya, G., Ködding, P., Lohweg, V., Malatyali, M., Meyer auf der Heide,
F., Panzner, M., & Soltenborn, C. (2021). A Meta-Review on Artificial Intelligence
in Product Creation. Proceedings of the 30th International Joint Conference
on Artificial Intelligence (IJCAI-21). 30th International Joint Conference
on Artificial Intelligence (IJCAI 2021) - Workshop “AI and Product Design,” Montreal,
Kanada.
bibtex: '@inproceedings{Bernijazov_Dicks_Dumitrescu_Foullois_Hanselle_Hüllermeier_Karakaya_Ködding_Lohweg_Malatyali_et
al._2021, title={A Meta-Review on Artificial Intelligence in Product Creation},
booktitle={Proceedings of the 30th International Joint Conference on Artificial
Intelligence (IJCAI-21)}, author={Bernijazov, Ruslan and Dicks, Alexander and
Dumitrescu, Roman and Foullois, Marc and Hanselle, Jonas Manuel and Hüllermeier,
Eyke and Karakaya, Gökce and Ködding, Patrick and Lohweg, Volker and Malatyali,
Manuel and et al.}, year={2021} }'
chicago: Bernijazov, Ruslan, Alexander Dicks, Roman Dumitrescu, Marc Foullois, Jonas
Manuel Hanselle, Eyke Hüllermeier, Gökce Karakaya, et al. “A Meta-Review on Artificial
Intelligence in Product Creation.” In Proceedings of the 30th International
Joint Conference on Artificial Intelligence (IJCAI-21), 2021.
ieee: R. Bernijazov et al., “A Meta-Review on Artificial Intelligence in Product
Creation,” presented at the 30th International Joint Conference on Artificial
Intelligence (IJCAI 2021) - Workshop “AI and Product Design,” Montreal, Kanada,
2021.
mla: Bernijazov, Ruslan, et al. “A Meta-Review on Artificial Intelligence in Product
Creation.” Proceedings of the 30th International Joint Conference on Artificial
Intelligence (IJCAI-21), 2021.
short: 'R. Bernijazov, A. Dicks, R. Dumitrescu, M. Foullois, J.M. Hanselle, E. Hüllermeier,
G. Karakaya, P. Ködding, V. Lohweg, M. Malatyali, F. Meyer auf der Heide, M. Panzner,
C. Soltenborn, in: Proceedings of the 30th International Joint Conference on Artificial
Intelligence (IJCAI-21), 2021.'
conference:
end_date: 2021-08-26
location: Montreal, Kanada
name: 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)
- Workshop "AI and Product Design"
start_date: 2021-08-19
date_created: 2021-09-06T08:23:45Z
date_updated: 2022-01-06T06:55:59Z
department:
- _id: '63'
- _id: '563'
- _id: '355'
- _id: '241'
keyword:
- Artificial Intelligence Product Creation Literature Review
language:
- iso: eng
main_file_link:
- url: https://www.hsu-hh.de/imb/wp-content/uploads/sites/677/2021/08/A-Meta-Review-on-Artificial-Intelligence-in-Product-Creation.pdf
publication: Proceedings of the 30th International Joint Conference on Artificial
Intelligence (IJCAI-21)
publication_status: epub_ahead
quality_controlled: '1'
status: public
title: A Meta-Review on Artificial Intelligence in Product Creation
type: conference
user_id: '15415'
year: '2021'
...
---
_id: '30866'
abstract:
- lang: eng
text: "Automated machine learning (AutoML) strives for the automatic configuration\r\nof
machine learning algorithms and their composition into an overall (software)\r\nsolution
- a machine learning pipeline - tailored to the learning task\r\n(dataset) at
hand. Over the last decade, AutoML has developed into an\r\nindependent research
field with hundreds of contributions. While AutoML offers\r\nmany prospects, it
is also known to be quite resource-intensive, which is one\r\nof its major points
of criticism. The primary cause for a high resource\r\nconsumption is that many
approaches rely on the (costly) evaluation of many\r\nmachine learning pipelines
while searching for good candidates. This problem is\r\namplified in the context
of research on AutoML methods, due to large scale\r\nexperiments conducted with
many datasets and approaches, each of them being run\r\nwith several repetitions
to rule out random effects. In the spirit of recent\r\nwork on Green AI, this
paper is written in an attempt to raise the awareness of\r\nAutoML researchers
for the problem and to elaborate on possible remedies. To\r\nthis end, we identify
four categories of actions the community may take towards\r\nmore sustainable
research on AutoML, i.e. Green AutoML: design of AutoML\r\nsystems, benchmarking,
transparency and research incentives."
author:
- first_name: Tanja
full_name: Tornede, Tanja
id: '40795'
last_name: Tornede
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards
Green Automated Machine Learning: Status Quo and Future Directions. arXiv:211105850.
Published online 2021.'
apa: 'Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., & Hüllermeier,
E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions.
In arXiv:2111.05850.'
bibtex: '@article{Tornede_Tornede_Hanselle_Wever_Mohr_Hüllermeier_2021, title={Towards
Green Automated Machine Learning: Status Quo and Future Directions}, journal={arXiv:2111.05850},
author={Tornede, Tanja and Tornede, Alexander and Hanselle, Jonas Manuel and Wever,
Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2021} }'
chicago: 'Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik
Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning:
Status Quo and Future Directions.” ArXiv:2111.05850, 2021.'
ieee: 'T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier,
“Towards Green Automated Machine Learning: Status Quo and Future Directions,”
arXiv:2111.05850. 2021.'
mla: 'Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo
and Future Directions.” ArXiv:2111.05850, 2021.'
short: T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier,
ArXiv:2111.05850 (2021).
date_created: 2022-04-12T11:57:15Z
date_updated: 2022-04-12T12:01:23Z
department:
- _id: '34'
- _id: '7'
- _id: '26'
external_id:
arxiv:
- '2111.05850'
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '10'
name: 'SFB 901 - B2: SFB 901 - Subproject B2'
publication: arXiv:2111.05850
status: public
title: 'Towards Green Automated Machine Learning: Status Quo and Future Directions'
type: preprint
user_id: '38209'
year: '2021'
...
---
_id: '21198'
author:
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- 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: 'Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset
Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published
online 2021.'
apa: 'Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021).
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors
from Imprecise Performance Data. The 25th Pacific-Asia Conference on Knowledge
Discovery and Data Mining (PAKDD-2021), Delhi, India.'
bibtex: '@article{Hanselle_Tornede_Wever_Hüllermeier_2021, series={PAKDD}, title={Algorithm
Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise
Performance Data}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever,
Marcel Dominik and Hüllermeier, Eyke}, year={2021}, collection={PAKDD} }'
chicago: 'Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke
Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm
Selectors from Imprecise Performance Data.” PAKDD, 2021.'
ieee: 'J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection
as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance
Data.” 2021.'
mla: 'Hanselle, Jonas Manuel, et al. Algorithm Selection as Superset Learning:
Constructing Algorithm Selectors from Imprecise Performance Data. 2021.'
short: J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021).
conference:
end_date: 2021-05-14
location: Delhi, India
name: The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)
start_date: 2021-05-11
date_created: 2021-02-09T09:30:14Z
date_updated: 2022-08-24T12:49:06Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
series_title: PAKDD
status: public
title: 'Algorithm Selection as Superset Learning: Constructing Algorithm Selectors
from Imprecise Performance Data'
type: conference
user_id: '38209'
year: '2021'
...
---
_id: '17408'
author:
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- 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: 'Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Hybrid Ranking and Regression
for Algorithm Selection. In: KI 2020: Advances in Artificial Intelligence.
; 2020.'
apa: 'Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2020).
Hybrid Ranking and Regression for Algorithm Selection. KI 2020: Advances in
Artificial Intelligence. 43rd German Conference on Artificial Intelligence.'
bibtex: '@inproceedings{Hanselle_Tornede_Wever_Hüllermeier_2020, title={Hybrid Ranking
and Regression for Algorithm Selection}, booktitle={KI 2020: Advances in Artificial
Intelligence}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever,
Marcel Dominik and Hüllermeier, Eyke}, year={2020} }'
chicago: 'Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke
Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In KI
2020: Advances in Artificial Intelligence, 2020.'
ieee: J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Hybrid Ranking
and Regression for Algorithm Selection,” presented at the 43rd German Conference
on Artificial Intelligence, 2020.
mla: 'Hanselle, Jonas Manuel, et al. “Hybrid Ranking and Regression for Algorithm
Selection.” KI 2020: Advances in Artificial Intelligence, 2020.'
short: 'J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, in: KI 2020: Advances
in Artificial Intelligence, 2020.'
conference:
name: 43rd German Conference on Artificial Intelligence
date_created: 2020-07-21T10:21:09Z
date_updated: 2022-01-06T06:53:10Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: 'KI 2020: Advances in Artificial Intelligence'
status: public
title: Hybrid Ranking and Regression for Algorithm Selection
type: conference
user_id: '5786'
year: '2020'
...