---
_id: '6898'
abstract:
- lang: eng
text: 'The labeling process for supervised learning is costly and time-consuming,
and is often impractical to scale due to real-world constraints. Active learning
(AL) addresses this challenge by strategically selecting representative and informative
data points to reduce labeling efforts. This paper focuses on an AL scenario in
which only a very limited number of labels can be acquired. We propose an algorithm
operating in two phases: (1) an exploration phase that prioritizes representative
and diverse data points using density-driven criteria, and (2) an exploitation
phase that combines predictive uncertainty with density weighting to select informative
samples from densely populated regions. This enhances both representativeness
and informativeness. Our results demonstrate significant improvements in model
quality compared to other algorithms typically employed for this scenario, across
various scenarios involving imbalanced data in classification tasks and skewness
in regression tasks. Through this work, we aim to provide a new algorithm for
this scenario and investigate general principles for AL. While most AL studies
focus on either classification or regression, our work applies the algorithms
to both. Therefore, we can analyze the differences between classification and
regression problems and their effects on AL strategies. Furthermore, we explore
different categories of AL criteria and their effectiveness in the low-budget
regime. These results also provide insight into the cold-start problem, which
involves selecting an initial labeled set and is faced by many model-based AL
methods.'
alternative_id:
- '6899'
author:
- first_name: Bjarne
full_name: Jaster, Bjarne
id: '252434'
last_name: Jaster
orcid: 0000-0002-8362-5369
- first_name: Alaa
full_name: Tharwat, Alaa
id: '238549'
last_name: Tharwat
- first_name: Eiram Mahera
full_name: Sheikh, Eiram Mahera
last_name: Sheikh
- first_name: Martin
full_name: Kohlhase, Martin
id: '226669'
last_name: Kohlhase
orcid: 0009-0002-9374-0720
- first_name: Wolfram
full_name: Schenck, Wolfram
id: '224375'
last_name: Schenck
orcid: 0000-0003-3300-2048
citation:
alphadin: 'Jaster, Bjarne ; Tharwat, Alaa ; Sheikh,
Eiram Mahera ; Kohlhase, Martin
; Schenck, Wolfram: Low Query Budget
Active Learning for Classification and Regression. In: Koprinska,
I. ; Mendes-Moreira, J. ;
Branco, P. (Hrsg.): Machine Learning
and Principles and Practice of Knowledge Discovery in Databases. International
Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected
Papers, Part IV, Communications in Computer and Information Science.
Cham : Springer Nature Switzerland, 2026, S. 5–21'
ama: 'Jaster B, Tharwat A, Sheikh EM, Kohlhase M, Schenck W. Low Query Budget Active
Learning for Classification and Regression. In: Koprinska I, Mendes-Moreira J,
Branco P, eds. Machine Learning and Principles and Practice of Knowledge Discovery
in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September
15–19, 2025, Revised Selected Papers, Part IV. Communications in Computer
and Information Science. Cham: Springer Nature Switzerland; 2026:5-21. doi:10.1007/978-3-032-19105-2_1'
apa: 'Jaster, B., Tharwat, A., Sheikh, E. M., Kohlhase, M., & Schenck, W. (2026).
Low Query Budget Active Learning for Classification and Regression. In I. Koprinska,
J. Mendes-Moreira, & P. Branco (Eds.), Machine Learning and Principles
and Practice of Knowledge Discovery in Databases. International Workshops of ECML
PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part
IV (pp. 5–21). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-19105-2_1'
bibtex: '@inproceedings{Jaster_Tharwat_Sheikh_Kohlhase_Schenck_2026, place={Cham},
series={Communications in Computer and Information Science}, title={Low Query
Budget Active Learning for Classification and Regression}, DOI={10.1007/978-3-032-19105-2_1},
booktitle={Machine Learning and Principles and Practice of Knowledge Discovery
in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September
15–19, 2025, Revised Selected Papers, Part IV}, publisher={Springer Nature Switzerland},
author={Jaster, Bjarne and Tharwat, Alaa and Sheikh, Eiram Mahera and Kohlhase,
Martin and Schenck, Wolfram}, editor={Koprinska, Irena and Mendes-Moreira, João
and Branco, PaulaEditors}, year={2026}, pages={5–21}, collection={Communications
in Computer and Information Science} }'
chicago: 'Jaster, Bjarne, Alaa Tharwat, Eiram Mahera Sheikh, Martin Kohlhase, and
Wolfram Schenck. “Low Query Budget Active Learning for Classification and Regression.”
In Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025,
Revised Selected Papers, Part IV, edited by Irena Koprinska, João Mendes-Moreira,
and Paula Branco, 5–21. Communications in Computer and Information Science. Cham:
Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-19105-2_1.'
ieee: B. Jaster, A. Tharwat, E. M. Sheikh, M. Kohlhase, and W. Schenck, “Low Query
Budget Active Learning for Classification and Regression,” in Machine Learning
and Principles and Practice of Knowledge Discovery in Databases. International
Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected
Papers, Part IV, Porto, Portugal, 2026, pp. 5–21.
mla: Jaster, Bjarne, et al. “Low Query Budget Active Learning for Classification
and Regression.” Machine Learning and Principles and Practice of Knowledge
Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal,
September 15–19, 2025, Revised Selected Papers, Part IV, edited by Irena Koprinska
et al., Springer Nature Switzerland, 2026, pp. 5–21, doi:10.1007/978-3-032-19105-2_1.
short: 'B. Jaster, A. Tharwat, E.M. Sheikh, M. Kohlhase, W. Schenck, in: I. Koprinska,
J. Mendes-Moreira, P. Branco (Eds.), Machine Learning and Principles and Practice
of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025,
Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV, Springer
Nature Switzerland, Cham, 2026, pp. 5–21.'
conference:
end_date: 2025-09-19
location: Porto, Portugal
name: ECML PKDD 2025
start_date: 2025-09-15
date_created: 2026-05-10T07:55:29Z
date_updated: 2026-06-01T15:18:27Z
doi: 10.1007/978-3-032-19105-2_1
editor:
- first_name: Irena
full_name: Koprinska, Irena
last_name: Koprinska
- first_name: João
full_name: Mendes-Moreira, João
last_name: Mendes-Moreira
- first_name: Paula
full_name: Branco, Paula
last_name: Branco
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://rdcu.be/fh03T
oa: '1'
page: 5-21
place: Cham
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
name: Institut für Systemdynamik und Mechatronik
publication: Machine Learning and Principles and Practice of Knowledge Discovery in
Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September
15–19, 2025, Revised Selected Papers, Part IV
publication_identifier:
eisbn:
- 978-3-032-19105-2
eissn:
- 1865-0937
isbn:
- 978-3-032-19104-5
issn:
- 1865-0929
publication_status: published
publisher: Springer Nature Switzerland
series_title: Communications in Computer and Information Science
status: public
title: Low Query Budget Active Learning for Classification and Regression
type: conference
user_id: '226669'
year: '2026'
...
---
_id: '6655'
article_number: '114295'
author:
- first_name: Alaa
full_name: Tharwat, Alaa
id: '238549'
last_name: Tharwat
- first_name: Bjarne
full_name: Jaster, Bjarne
id: '252434'
last_name: Jaster
orcid: 0000-0002-8362-5369
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8362-5369/work/207108820
- first_name: Wolfram
full_name: Schenck, Wolfram
id: '224375'
last_name: Schenck
orcid: 0000-0003-3300-2048
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-3300-2048/work/207108821
- first_name: Martin
full_name: Kohlhase, Martin
id: '226669'
last_name: Kohlhase
orcid: 0009-0002-9374-0720
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9374-0720/work/207108822
citation:
alphadin: 'Tharwat, Alaa ; Jaster,
Bjarne ; Schenck, Wolfram
; Kohlhase, Martin: Active learning
evaluation metrics for classification and regression frameworks. In: Engineering
Applications of Artificial Intelligence Bd. 171, Elsevier BV (2026)'
ama: Tharwat A, Jaster B, Schenck W, Kohlhase M. Active learning evaluation metrics
for classification and regression frameworks. Engineering Applications of Artificial
Intelligence. 2026;171. doi:10.1016/j.engappai.2026.114295
apa: Tharwat, A., Jaster, B., Schenck, W., & Kohlhase, M. (2026). Active learning
evaluation metrics for classification and regression frameworks. Engineering
Applications of Artificial Intelligence, 171. https://doi.org/10.1016/j.engappai.2026.114295
bibtex: '@article{Tharwat_Jaster_Schenck_Kohlhase_2026, title={Active learning evaluation
metrics for classification and regression frameworks}, volume={171}, DOI={10.1016/j.engappai.2026.114295},
number={114295}, journal={Engineering Applications of Artificial Intelligence},
publisher={Elsevier BV}, author={Tharwat, Alaa and Jaster, Bjarne and Schenck,
Wolfram and Kohlhase, Martin}, year={2026} }'
chicago: Tharwat, Alaa, Bjarne Jaster, Wolfram Schenck, and Martin Kohlhase. “Active
Learning Evaluation Metrics for Classification and Regression Frameworks.” Engineering
Applications of Artificial Intelligence 171 (2026). https://doi.org/10.1016/j.engappai.2026.114295.
ieee: A. Tharwat, B. Jaster, W. Schenck, and M. Kohlhase, “Active learning evaluation
metrics for classification and regression frameworks,” Engineering Applications
of Artificial Intelligence, vol. 171, 2026.
mla: Tharwat, Alaa, et al. “Active Learning Evaluation Metrics for Classification
and Regression Frameworks.” Engineering Applications of Artificial Intelligence,
vol. 171, 114295, Elsevier BV, 2026, doi:10.1016/j.engappai.2026.114295.
short: A. Tharwat, B. Jaster, W. Schenck, M. Kohlhase, Engineering Applications
of Artificial Intelligence 171 (2026).
date_created: 2026-02-27T10:10:55Z
date_updated: 2026-06-01T15:11:58Z
doi: 10.1016/j.engappai.2026.114295
intvolume: ' 171'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.engappai.2026.114295
oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
name: Institut für Systemdynamik und Mechatronik
publication: Engineering Applications of Artificial Intelligence
publication_identifier:
issn:
- '09521976'
publication_status: published
publisher: Elsevier BV
status: public
title: Active learning evaluation metrics for classification and regression frameworks
type: journal_article
user_id: '226669'
volume: 171
year: '2026'
...
---
_id: '6904'
abstract:
- lang: eng
text: "Der Berufsstand der Wirtschaftsprüfer und das Rechnungswesen von Unternehmen
kämpfen aktuell mit einem sinkenden Image sowie einem massiven Fachkräftemangel.
Als zentrale Antwort darauf gilt die fortschreitende Digitalisierung und der Einsatz
von KI, die bereits heute zu einer weitgehenden Automatisierung operativer Kernprozesse
wie dem „Purchase-to-Pay“-Porzess führen. \r\nWährend das Institut für Arbeitsmarkt-
und Berufsforschung (IAB) für Buchhaltungstätigkeiten ein Automatisierungspotenzial
von 100 % sieht, liegt dieses in der Wirtschaftsprüfung bei etwa 57 %. In der
Prüfungspraxis verschiebt sich der Fokus von Routineaufgaben hin zu risikoorientierten
Datenanalysen, IT-Systemprüfungen und der Nachhaltigkeitsberichterstattung, wobei
das finale Urteil weiterhin beim Menschen verbleibt („Human-in-the-Loop“). \r\nFür
die Hochschulausbildung bedeutet diese Transformation, dass neben den klassischen
Basiskompetenzen vermehrt Spezialwissen in der Datenanalyse sowie übergreifende
Meta-Kompetenzen wie „Data Literacy“ und grundlegendes KI-Verständnis vermittelt
werden müssen. Hochschulen sind daher gefordert, diesen Wandel durch neue Lehrformate
und Kooperationen mit der Praxis aktiv mitzugestalten, um den steigenden qualitativen
Anforderungen an künftige Mitarbeitende gerecht zu werden."
author:
- first_name: Tim
full_name: Kampe, Tim
id: '222105'
last_name: Kampe
orcid: 0000-0003-1217-1360
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-1217-1360/work/214648057
citation:
alphadin: 'Kampe, Tim: Digitalisierung
und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung
und ihre Auswirkungen auf die Hochschulausbildung. In: 46. Tagung des Arbeitskreises
„Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen
für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05., 2026'
ama: 'Kampe T. Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung
und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung. In:
46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen
und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim,
11.-13.05. ; 2026.'
apa: 'Kampe, T. (2026). Digitalisierung und KI in der Abschlussprüfung: Änderungen
in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung.
In 46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen
und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim,
11.-13.05. Bad Mergentheim.'
bibtex: '@inproceedings{Kampe_2026, title={Digitalisierung und KI in der Abschlussprüfung:
Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf
die Hochschulausbildung}, booktitle={46. Tagung des Arbeitskreises „Steuern und
Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte
Wissenschaften, Bad Mergentheim, 11.-13.05.}, author={Kampe, Tim}, year={2026}
}'
chicago: 'Kampe, Tim. “Digitalisierung und KI in der Abschlussprüfung: Änderungen
in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung.”
In 46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen
und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim,
11.-13.05., 2026.'
ieee: 'T. Kampe, “Digitalisierung und KI in der Abschlussprüfung: Änderungen in
Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung,”
in 46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen
und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim,
11.-13.05., Bad Mergentheim, 2026.'
mla: 'Kampe, Tim. “Digitalisierung und KI in der Abschlussprüfung: Änderungen in
Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung.”
46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen
und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim,
11.-13.05., 2026.'
short: 'T. Kampe, in: 46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“
der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften,
Bad Mergentheim, 11.-13.05., 2026.'
conference:
end_date: 2026-05-13
location: Bad Mergentheim
name: 46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen
und Professoren an Hochschulen für angewandte Wissenschaften
start_date: 2026-05-10
date_created: 2026-05-13T13:40:41Z
date_updated: 2026-05-17T16:51:56Z
keyword:
- Wirtschaftsprüfung
- Rechnungswesen
- Künstliche Intelligenz
- Fachkräftemangel
- Hochschullehre
- Data Literacy
- Automatisierung
language:
- iso: ger
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen
und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.
publication_status: published
status: public
title: 'Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung
und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung'
type: conference
user_id: '222105'
year: '2026'
...
---
_id: '6797'
author:
- first_name: Lennart
full_name: Schipper, Lennart
last_name: Schipper
- first_name: Christian
full_name: Schwede, Christian
id: '237874'
last_name: Schwede
orcid: 0009-0003-0431-6547
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-0431-6547/work/208363952
citation:
alphadin: 'Schipper, Lennart ; Schwede, Christian: Automated Adaptation
of Digital Twins for Production Line Design by Adapting Existing Models Through
LLM-Guided Expert Interviews. In: Rank
, S. ; Kühn , M. ; Schmidt, T. (Hrsg.): Simulation in
Produktion und Logistik 2025. Dresden : Technische Universität Dresden, Professur
für Technische Logistik , 2025'
ama: 'Schipper L, Schwede C. Automated Adaptation of Digital Twins for Production
Line Design by Adapting Existing Models Through LLM-Guided Expert Interviews.
In: Rank S, Kühn M, Schmidt T, eds. Simulation in Produktion Und Logistik
2025. Dresden: Technische Universität Dresden, Professur für Technische Logistik
; 2025. doi:10.25368/2025.247'
apa: 'Schipper, L., & Schwede, C. (2025). Automated Adaptation of Digital Twins
for Production Line Design by Adapting Existing Models Through LLM-Guided Expert
Interviews. In S. Rank , M. Kühn , & T. Schmidt (Eds.), Simulation in Produktion
und Logistik 2025. Dresden: Technische Universität Dresden, Professur für
Technische Logistik . https://doi.org/10.25368/2025.247'
bibtex: '@inproceedings{Schipper_Schwede_2025, place={Dresden}, title={Automated
Adaptation of Digital Twins for Production Line Design by Adapting Existing Models
Through LLM-Guided Expert Interviews}, DOI={10.25368/2025.247},
booktitle={Simulation in Produktion und Logistik 2025}, publisher={Technische
Universität Dresden, Professur für Technische Logistik }, author={Schipper, Lennart
and Schwede, Christian}, editor={Rank , Sebastian and Kühn , Mathias and Schmidt,
Thorsten Editors}, year={2025} }'
chicago: 'Schipper, Lennart, and Christian Schwede. “Automated Adaptation of Digital
Twins for Production Line Design by Adapting Existing Models Through LLM-Guided
Expert Interviews.” In Simulation in Produktion Und Logistik 2025, edited
by Sebastian Rank , Mathias Kühn , and Thorsten Schmidt. Dresden: Technische
Universität Dresden, Professur für Technische Logistik , 2025. https://doi.org/10.25368/2025.247.'
ieee: L. Schipper and C. Schwede, “Automated Adaptation of Digital Twins for Production
Line Design by Adapting Existing Models Through LLM-Guided Expert Interviews,”
in Simulation in Produktion und Logistik 2025, Dresden, 2025.
mla: Schipper, Lennart, and Christian Schwede. “Automated Adaptation of Digital
Twins for Production Line Design by Adapting Existing Models Through LLM-Guided
Expert Interviews.” Simulation in Produktion Und Logistik 2025, edited
by Sebastian Rank et al., Technische Universität Dresden, Professur für Technische
Logistik , 2025, doi:10.25368/2025.247.
short: 'L. Schipper, C. Schwede, in: S. Rank , M. Kühn , T. Schmidt (Eds.), Simulation
in Produktion Und Logistik 2025, Technische Universität Dresden, Professur für
Technische Logistik , Dresden, 2025.'
conference:
end_date: 2025-09-26
location: Dresden
name: 21. ASIM-Fachtagung Simulation in Produktion und Logistik
start_date: 2025-09-24
date_created: 2026-03-09T12:17:30Z
date_updated: 2026-06-09T07:33:20Z
doi: 10.25368/2025.247
editor:
- first_name: 'Sebastian '
full_name: 'Rank , Sebastian '
last_name: 'Rank '
- first_name: 'Mathias '
full_name: 'Kühn , Mathias '
last_name: 'Kühn '
- first_name: 'Thorsten '
full_name: 'Schmidt, Thorsten '
last_name: Schmidt
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Dresden
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Simulation in Produktion und Logistik 2025
publication_identifier:
isbn:
- 978-3-86780-806-4
publication_status: published
publisher: 'Technische Universität Dresden, Professur für Technische Logistik '
quality_controlled: '1'
status: public
title: Automated Adaptation of Digital Twins for Production Line Design by Adapting
Existing Models Through LLM-Guided Expert Interviews
type: conference
user_id: '250307'
year: '2025'
...
---
_id: '6796'
author:
- first_name: Patrick
full_name: Farwick, Patrick
last_name: Farwick
- first_name: Christian
full_name: Schwede, Christian
id: '237874'
last_name: Schwede
orcid: 0009-0003-0431-6547
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-0431-6547/work/208363767
citation:
alphadin: 'Farwick, Patrick ; Schwede, Christian: Reinforcement Learning
in Production Planning and Control: a Review on State, Action and Reward Design
in Order Release and Production Scheduling. In: IEEE
(Hrsg.): 2025 Winter Simulation Conference (WSC) : IEEE, 2025, S. 1466–1477'
ama: 'Farwick P, Schwede C. Reinforcement Learning in Production Planning and Control:
a Review on State, Action and Reward Design in Order Release and Production Scheduling.
In: IEEE, ed. 2025 Winter Simulation Conference (WSC). IEEE; 2025:1466-1477.
doi:10.1109/WSC68292.2025.11338874'
apa: 'Farwick, P., & Schwede, C. (2025). Reinforcement Learning in Production
Planning and Control: a Review on State, Action and Reward Design in Order Release
and Production Scheduling. In IEEE (Ed.), 2025 Winter Simulation Conference
(WSC) (pp. 1466–1477). Seattle, WA, USA: IEEE. https://doi.org/10.1109/WSC68292.2025.11338874'
bibtex: '@inproceedings{Farwick_Schwede_2025, title={Reinforcement Learning in Production
Planning and Control: a Review on State, Action and Reward Design in Order Release
and Production Scheduling}, DOI={10.1109/WSC68292.2025.11338874},
booktitle={2025 Winter Simulation Conference (WSC)}, publisher={IEEE}, author={Farwick,
Patrick and Schwede, Christian}, editor={IEEEEditor}, year={2025}, pages={1466–1477}
}'
chicago: 'Farwick, Patrick, and Christian Schwede. “Reinforcement Learning in Production
Planning and Control: A Review on State, Action and Reward Design in Order Release
and Production Scheduling.” In 2025 Winter Simulation Conference (WSC),
edited by IEEE, 1466–77. IEEE, 2025. https://doi.org/10.1109/WSC68292.2025.11338874.'
ieee: 'P. Farwick and C. Schwede, “Reinforcement Learning in Production Planning
and Control: a Review on State, Action and Reward Design in Order Release and
Production Scheduling,” in 2025 Winter Simulation Conference (WSC), Seattle,
WA, USA, 2025, pp. 1466–1477.'
mla: 'Farwick, Patrick, and Christian Schwede. “Reinforcement Learning in Production
Planning and Control: A Review on State, Action and Reward Design in Order Release
and Production Scheduling.” 2025 Winter Simulation Conference (WSC), edited
by IEEE, IEEE, 2025, pp. 1466–77, doi:10.1109/WSC68292.2025.11338874.'
short: 'P. Farwick, C. Schwede, in: IEEE (Ed.), 2025 Winter Simulation Conference
(WSC), IEEE, 2025, pp. 1466–1477.'
conference:
end_date: 2025-12-10
location: Seattle, WA, USA
name: 2025 Winter Simulation Conference (WSC)
start_date: 2025-12-07
corporate_editor:
- IEEE
date_created: 2026-03-09T12:17:01Z
date_updated: 2026-06-09T07:32:52Z
doi: 10.1109/WSC68292.2025.11338874
language:
- iso: eng
page: 1466-1477
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 2025 Winter Simulation Conference (WSC)
publication_identifier:
eisbn:
- 979-8-3315-8726-0
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: 'Reinforcement Learning in Production Planning and Control: a Review on State,
Action and Reward Design in Order Release and Production Scheduling'
type: conference
user_id: '250307'
year: '2025'
...
---
_id: '6439'
author:
- first_name: Gerhard
full_name: Köhler, Gerhard
last_name: Köhler
- first_name: Werner
full_name: Roth, Werner
last_name: Roth
- first_name: Achim
full_name: Schmidtmann, Achim
id: '232783'
last_name: Schmidtmann
orcid: 0009-0006-7805-1512
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0006-7805-1512/work/205847101
citation:
alphadin: 'Köhler, Gerhard ; Roth, Werner ; Schmidtmann,
Achim: Adaptive IT Service Tendering. The Path to Agile and Effective
IT Outsourcing, Management for Professionals. 1. Aufl. Wiesbaden :
Springer Nature, 2025'
ama: 'Köhler G, Roth W, Schmidtmann A. Adaptive IT Service Tendering. The Path
to Agile and Effective IT Outsourcing. 1st ed. Wiesbaden: Springer Nature;
2025. doi:10.1007/978-3-658-49726-2'
apa: 'Köhler, G., Roth, W., & Schmidtmann, A. (2025). Adaptive IT Service
Tendering. The Path to Agile and Effective IT Outsourcing (1st ed.). Wiesbaden:
Springer Nature. https://doi.org/10.1007/978-3-658-49726-2'
bibtex: '@book{Köhler_Roth_Schmidtmann_2025, place={Wiesbaden}, edition={1}, series={Management
for Professionals}, title={Adaptive IT Service Tendering. The Path to Agile and
Effective IT Outsourcing}, DOI={10.1007/978-3-658-49726-2},
publisher={Springer Nature}, author={Köhler, Gerhard and Roth, Werner and Schmidtmann,
Achim}, year={2025}, collection={Management for Professionals} }'
chicago: 'Köhler, Gerhard, Werner Roth, and Achim Schmidtmann. Adaptive IT Service
Tendering. The Path to Agile and Effective IT Outsourcing. 1st ed. Management
for Professionals. Wiesbaden: Springer Nature, 2025. https://doi.org/10.1007/978-3-658-49726-2.'
ieee: 'G. Köhler, W. Roth, and A. Schmidtmann, Adaptive IT Service Tendering.
The Path to Agile and Effective IT Outsourcing, 1st ed. Wiesbaden: Springer
Nature, 2025.'
mla: Köhler, Gerhard, et al. Adaptive IT Service Tendering. The Path to Agile
and Effective IT Outsourcing. 1st ed., Springer Nature, 2025, doi:10.1007/978-3-658-49726-2.
short: G. Köhler, W. Roth, A. Schmidtmann, Adaptive IT Service Tendering. The Path
to Agile and Effective IT Outsourcing, 1st ed., Springer Nature, Wiesbaden, 2025.
date_created: 2026-01-03T18:35:11Z
date_updated: 2026-06-09T07:32:18Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
doi: 10.1007/978-3-658-49726-2
edition: '1'
language:
- iso: eng
place: Wiesbaden
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication_identifier:
eisbn:
- 978-3-658-49726-2
eissn:
- 2192-810X
isbn:
- 978-3-658-49725-5
issn:
- 2192-8096
publication_status: published
publisher: Springer Nature
series_title: Management for Professionals
status: public
title: Adaptive IT Service Tendering. The Path to Agile and Effective IT Outsourcing
type: book
user_id: '250307'
year: '2025'
...
---
_id: '6349'
author:
- first_name: Achim
full_name: Schmidtmann, Achim
id: '232783'
last_name: Schmidtmann
orcid: 0009-0006-7805-1512
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0006-7805-1512/work/197794233
- first_name: Marina
full_name: Babić, Marina
last_name: Babić
- first_name: Sonia Anna
full_name: Chlopek-Duljević, Sonia Anna
last_name: Chlopek-Duljević
- first_name: Theepika
full_name: Kunasegaram, Theepika
last_name: Kunasegaram
citation:
alphadin: 'Schmidtmann, Achim ; Babić, Marina ; Chlopek-Duljević,
Sonia Anna ; Kunasegaram, Theepika:
Artificial Intelligence in Recruiting: A Balancing Act Between Innovation and
Ethics. In: Öztürk, R. ; Auschner,
E. (Hrsg.): Disrupt or Be Disrupted: How does AI shape the Future of
Business and Politics?. Düren : Shaker Verlag, 2025, S. 32'
ama: 'Schmidtmann A, Babić M, Chlopek-Duljević SA, Kunasegaram T. Artificial Intelligence
in Recruiting: A Balancing Act Between Innovation and Ethics. In: Öztürk R, Auschner
E, eds. Disrupt or Be Disrupted: How Does AI Shape the Future of Business and
Politics?. Düren: Shaker Verlag; 2025:32.'
apa: 'Schmidtmann, A., Babić, M., Chlopek-Duljević, S. A., & Kunasegaram, T.
(2025). Artificial Intelligence in Recruiting: A Balancing Act Between Innovation
and Ethics. In R. Öztürk & E. Auschner (Eds.), Disrupt or Be Disrupted:
How does AI shape the Future of Business and Politics? (p. 32). Düren: Shaker
Verlag.'
bibtex: '@inbook{Schmidtmann_Babić_Chlopek-Duljević_Kunasegaram_2025, place={Düren},
title={Artificial Intelligence in Recruiting: A Balancing Act Between Innovation
and Ethics}, booktitle={Disrupt or Be Disrupted: How does AI shape the Future
of Business and Politics?}, publisher={Shaker Verlag}, author={Schmidtmann, Achim
and Babić, Marina and Chlopek-Duljević, Sonia Anna and Kunasegaram, Theepika},
editor={Öztürk, Riza and Auschner, EikaEditors}, year={2025}, pages={32} }'
chicago: 'Schmidtmann, Achim, Marina Babić, Sonia Anna Chlopek-Duljević, and Theepika
Kunasegaram. “Artificial Intelligence in Recruiting: A Balancing Act Between Innovation
and Ethics.” In Disrupt or Be Disrupted: How Does AI Shape the Future of Business
and Politics?, edited by Riza Öztürk and Eika Auschner, 32. Düren: Shaker
Verlag, 2025.'
ieee: 'A. Schmidtmann, M. Babić, S. A. Chlopek-Duljević, and T. Kunasegaram, “Artificial
Intelligence in Recruiting: A Balancing Act Between Innovation and Ethics,” in
Disrupt or Be Disrupted: How does AI shape the Future of Business and Politics?,
R. Öztürk and E. Auschner, Eds. Düren: Shaker Verlag, 2025, p. 32.'
mla: 'Schmidtmann, Achim, et al. “Artificial Intelligence in Recruiting: A Balancing
Act Between Innovation and Ethics.” Disrupt or Be Disrupted: How Does AI Shape
the Future of Business and Politics?, edited by Riza Öztürk and Eika Auschner,
Shaker Verlag, 2025, p. 32.'
short: 'A. Schmidtmann, M. Babić, S.A. Chlopek-Duljević, T. Kunasegaram, in: R.
Öztürk, E. Auschner (Eds.), Disrupt or Be Disrupted: How Does AI Shape the Future
of Business and Politics?, Shaker Verlag, Düren, 2025, p. 32.'
conference:
end_date: 2025-05-15
location: Bielefeld
name: BiCAB - Bielefeld International Conference on Applied Business 2025
start_date: 2025-05-15
date_created: 2025-11-24T17:09:32Z
date_updated: 2026-06-09T07:31:49Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
editor:
- first_name: Riza
full_name: Öztürk, Riza
last_name: Öztürk
- first_name: Eika
full_name: Auschner, Eika
id: '257847'
last_name: Auschner
language:
- iso: eng
page: '32'
place: Düren
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 'Disrupt or Be Disrupted: How does AI shape the Future of Business and
Politics?'
publication_identifier:
unknown:
- 978-3-8191-0181-6
publication_status: published
publisher: Shaker Verlag
status: public
title: 'Artificial Intelligence in Recruiting: A Balancing Act Between Innovation
and Ethics'
type: book_chapter
user_id: '250307'
year: '2025'
...
---
_id: '5972'
author:
- first_name: Lina
full_name: Döring, Lina
id: '231689'
last_name: Döring
orcid: 0009-0000-3555-4183
- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
- first_name: Pascal
full_name: Reusch, Pascal
id: '223271'
last_name: Reusch
citation:
alphadin: 'Döring, Lina ; Trojahn,
Sebastian ; Reusch, Pascal:
Partial Twin – Pragmatic Digital Twin Adoption for SMEs. In: Otto
von Guericke University Library, Magdeburg, Germany (Hrsg.): 18th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management.
Bd. 18. Magdeburg : Otto von Guericke University Library, Magdeburg, Germany,
2025'
ama: 'Döring L, Trojahn S, Reusch P. Partial Twin – Pragmatic Digital Twin Adoption
for SMEs. In: Otto von Guericke University Library, Magdeburg, Germany, ed. 18th
International Doctoral Students Workshop on Logistics, Supply Chain and Production
Management. Vol 18. Magdeburg: Otto von Guericke University Library, Magdeburg,
Germany; 2025. doi:10.57720/5972'
apa: 'Döring, L., Trojahn, S., & Reusch, P. (2025). Partial Twin – Pragmatic
Digital Twin Adoption for SMEs. In Otto von Guericke University Library, Magdeburg,
Germany (Ed.), 18th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management (Vol. 18). Magdeburg: Otto von Guericke
University Library, Magdeburg, Germany. https://doi.org/10.57720/5972'
bibtex: '@inproceedings{Döring_Trojahn_Reusch_2025, place={Magdeburg}, title={Partial
Twin – Pragmatic Digital Twin Adoption for SMEs}, volume={18}, DOI={10.57720/5972},
booktitle={18th International Doctoral Students Workshop on Logistics, Supply
Chain and Production Management}, publisher={Otto von Guericke University Library,
Magdeburg, Germany}, author={Döring, Lina and Trojahn, Sebastian and Reusch, Pascal},
editor={Otto von Guericke University Library, Magdeburg, GermanyEditor}, year={2025}
}'
chicago: 'Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Partial Twin – Pragmatic
Digital Twin Adoption for SMEs.” In 18th International Doctoral Students Workshop
on Logistics, Supply Chain and Production Management, edited by Otto von Guericke
University Library, Magdeburg, Germany, Vol. 18. Magdeburg: Otto von Guericke
University Library, Magdeburg, Germany, 2025. https://doi.org/10.57720/5972.'
ieee: L. Döring, S. Trojahn, and P. Reusch, “Partial Twin – Pragmatic Digital Twin
Adoption for SMEs,” in 18th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, Magdeburg, 2025, vol. 18.
mla: Döring, Lina, et al. “Partial Twin – Pragmatic Digital Twin Adoption for SMEs.”
18th International Doctoral Students Workshop on Logistics, Supply Chain and
Production Management, edited by Otto von Guericke University Library, Magdeburg,
Germany, vol. 18, Otto von Guericke University Library, Magdeburg, Germany, 2025,
doi:10.57720/5972.
short: 'L. Döring, S. Trojahn, P. Reusch, in: Otto von Guericke University Library,
Magdeburg, Germany (Ed.), 18th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, Otto von Guericke University Library,
Magdeburg, Germany, Magdeburg, 2025.'
conference:
end_date: 2025-06-17
location: Magdeburg
name: International Doctoral Students Workshop on Logistics, Supply Chain and Production
Management
start_date: 2025-06-16
corporate_editor:
- Otto von Guericke University Library, Magdeburg, Germany
date_created: 2025-06-27T07:23:30Z
date_updated: 2026-06-09T07:31:19Z
department:
- _id: '103'
doi: 10.57720/5972
intvolume: ' 18'
keyword:
- Digital Twin
- Small and medium sized companies
- SME
- production optimization
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://dx.doi.org/10.25673/119021
oa: '1'
place: Magdeburg
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 18th International Doctoral Students Workshop on Logistics, Supply Chain
and Production Management
publication_status: published
publisher: Otto von Guericke University Library, Magdeburg, Germany
quality_controlled: '1'
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---
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full_name: Döring, Lina
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- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
- first_name: Pascal
full_name: Reusch, Pascal
id: '223271'
last_name: Reusch
citation:
alphadin: 'Döring, Lina ; Trojahn,
Sebastian ; Reusch, Pascal:
Partial Twin – Pragmatic Digital Twin Adoption for SMEs. In: Otto
von Guericke University Library, Magdeburg, Germany (Hrsg.): 18th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management.
Bd. 18. Magdeburg : Otto von Guericke University Library, Magdeburg, Germany,
2025'
ama: 'Döring L, Trojahn S, Reusch P. Partial Twin – Pragmatic Digital Twin Adoption
for SMEs. In: Otto von Guericke University Library, Magdeburg, Germany, ed. 18th
International Doctoral Students Workshop on Logistics, Supply Chain and Production
Management. Vol 18. Magdeburg: Otto von Guericke University Library, Magdeburg,
Germany; 2025. doi:10.57720/6037'
apa: 'Döring, L., Trojahn, S., & Reusch, P. (2025). Partial Twin – Pragmatic
Digital Twin Adoption for SMEs. In Otto von Guericke University Library, Magdeburg,
Germany (Ed.), 18th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management (Vol. 18). Magdeburg: Otto von Guericke
University Library, Magdeburg, Germany. https://doi.org/10.57720/6037'
bibtex: '@inproceedings{Döring_Trojahn_Reusch_2025, place={Magdeburg}, title={Partial
Twin – Pragmatic Digital Twin Adoption for SMEs}, volume={18}, DOI={10.57720/6037},
booktitle={18th International Doctoral Students Workshop on Logistics, Supply
Chain and Production Management}, publisher={Otto von Guericke University Library,
Magdeburg, Germany}, author={Döring, Lina and Trojahn, Sebastian and Reusch, Pascal},
editor={Otto von Guericke University Library, Magdeburg, GermanyEditor}, year={2025}
}'
chicago: 'Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Partial Twin – Pragmatic
Digital Twin Adoption for SMEs.” In 18th International Doctoral Students Workshop
on Logistics, Supply Chain and Production Management, edited by Otto von Guericke
University Library, Magdeburg, Germany, Vol. 18. Magdeburg: Otto von Guericke
University Library, Magdeburg, Germany, 2025. https://doi.org/10.57720/6037.'
ieee: L. Döring, S. Trojahn, and P. Reusch, “Partial Twin – Pragmatic Digital Twin
Adoption for SMEs,” in 18th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, Magdeburg, 2025, vol. 18.
mla: Döring, Lina, et al. “Partial Twin – Pragmatic Digital Twin Adoption for SMEs.”
18th International Doctoral Students Workshop on Logistics, Supply Chain and
Production Management, edited by Otto von Guericke University Library, Magdeburg,
Germany, vol. 18, Otto von Guericke University Library, Magdeburg, Germany, 2025,
doi:10.57720/6037.
short: 'L. Döring, S. Trojahn, P. Reusch, in: Otto von Guericke University Library,
Magdeburg, Germany (Ed.), 18th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, Otto von Guericke University Library,
Magdeburg, Germany, Magdeburg, 2025.'
conference:
end_date: 2025-06-17
location: Magdeburg
name: International Doctoral Students Workshop on Logistics, Supply Chain and Production
Management
start_date: 2025-06-16
corporate_editor:
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date_created: 2025-07-01T12:39:47Z
date_updated: 2026-06-09T07:31:19Z
department:
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doi: 10.57720/6037
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- production optimization
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---
_id: '5871'
author:
- first_name: Nils O.
full_name: Beese, Nils O.
last_name: Beese
- first_name: Lennart
full_name: Dümke, Lennart
last_name: Dümke
- first_name: Yannic N.
full_name: Döll, Yannic N.
last_name: Döll
- first_name: René
full_name: Reinhard, René
last_name: Reinhard
- first_name: Jan
full_name: Spilski, Jan
last_name: Spilski
- first_name: Thomas
full_name: Lachmann, Thomas
last_name: Lachmann
- first_name: Kerstin
full_name: Müller, Kerstin
id: '212794'
last_name: Müller
citation:
alphadin: 'Beese, Nils O. ; Dümke, Lennart ; Döll,
Yannic N. ; Reinhard, René
; Spilski, Jan ; Lachmann,
Thomas ; Müller, Kerstin:
Feel me, hear me: vibrotactile and auditory feedback cues in an invisible object
search in virtual reality. In: Behaviour & Information Technology Bd.
44, Informa UK Limited (2025), Nr. 6, S. 1124–1135'
ama: 'Beese NO, Dümke L, Döll YN, et al. Feel me, hear me: vibrotactile and auditory
feedback cues in an invisible object search in virtual reality. Behaviour &
Information Technology. 2025;44(6):1124-1135. doi:10.1080/0144929X.2025.2459248'
apa: 'Beese, N. O., Dümke, L., Döll, Y. N., Reinhard, R., Spilski, J., Lachmann,
T., & Müller, K. (2025). Feel me, hear me: vibrotactile and auditory feedback
cues in an invisible object search in virtual reality. Behaviour & Information
Technology, 44(6), 1124–1135. https://doi.org/10.1080/0144929X.2025.2459248'
bibtex: '@article{Beese_Dümke_Döll_Reinhard_Spilski_Lachmann_Müller_2025, title={Feel
me, hear me: vibrotactile and auditory feedback cues in an invisible object search
in virtual reality}, volume={44}, DOI={10.1080/0144929X.2025.2459248},
number={6}, journal={Behaviour & Information Technology}, publisher={Informa
UK Limited}, author={Beese, Nils O. and Dümke, Lennart and Döll, Yannic N. and
Reinhard, René and Spilski, Jan and Lachmann, Thomas and Müller, Kerstin}, year={2025},
pages={1124–1135} }'
chicago: 'Beese, Nils O., Lennart Dümke, Yannic N. Döll, René Reinhard, Jan Spilski,
Thomas Lachmann, and Kerstin Müller. “Feel Me, Hear Me: Vibrotactile and Auditory
Feedback Cues in an Invisible Object Search in Virtual Reality.” Behaviour
& Information Technology 44, no. 6 (2025): 1124–35. https://doi.org/10.1080/0144929X.2025.2459248.'
ieee: 'N. O. Beese et al., “Feel me, hear me: vibrotactile and auditory feedback
cues in an invisible object search in virtual reality,” Behaviour & Information
Technology, vol. 44, no. 6, pp. 1124–1135, 2025.'
mla: 'Beese, Nils O., et al. “Feel Me, Hear Me: Vibrotactile and Auditory Feedback
Cues in an Invisible Object Search in Virtual Reality.” Behaviour & Information
Technology, vol. 44, no. 6, Informa UK Limited, 2025, pp. 1124–35, doi:10.1080/0144929X.2025.2459248.'
short: N.O. Beese, L. Dümke, Y.N. Döll, R. Reinhard, J. Spilski, T. Lachmann, K.
Müller, Behaviour & Information Technology 44 (2025) 1124–1135.
date_created: 2025-03-31T09:17:41Z
date_updated: 2026-06-09T07:30:17Z
doi: 10.1080/0144929X.2025.2459248
intvolume: ' 44'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.tandfonline.com/doi/full/10.1080/0144929X.2025.2459248#abstract
oa: '1'
page: '1124-1135 '
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Behaviour & Information Technology
publication_identifier:
eissn:
- 1362-3001
issn:
- 0144-929X
publication_status: published
publisher: Informa UK Limited
quality_controlled: '1'
status: public
title: 'Feel me, hear me: vibrotactile and auditory feedback cues in an invisible
object search in virtual reality'
type: journal_article
user_id: '250307'
volume: 44
year: '2025'
...
---
_id: '5775'
author:
- first_name: Grit
full_name: Behrens, Grit
id: '207629'
last_name: Behrens
orcid: 0009-0009-0247-8204
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/179142743
- first_name: Yassine
full_name: Ribouh, Yassine
last_name: Ribouh
- first_name: Naoufal
full_name: El Atmioui, Naoufal
last_name: El Atmioui
- first_name: Alexander
full_name: Kruse, Alexander
last_name: Kruse
citation:
alphadin: 'Behrens, Grit ; Ribouh,
Yassine ; El Atmioui, Naoufal
; Kruse, Alexander: Cloud Classification
and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning
Techniques . In: , 2025'
ama: 'Behrens G, Ribouh Y, El Atmioui N, Kruse A. Cloud Classification and Solar
Irradiance Forecasting Using All-Sky Images and based on Machine Learning Techniques
. In: ; 2025.'
apa: Behrens, G., Ribouh, Y., El Atmioui, N., & Kruse, A. (2025). Cloud Classification
and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning
Techniques . Presented at the ICRES - International Conference on Renewable Energy
Systems with focus on Solar Energy , Thessaloniki .
bibtex: '@inproceedings{Behrens_Ribouh_El Atmioui_Kruse_2025, title={Cloud Classification
and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning
Techniques }, author={Behrens, Grit and Ribouh, Yassine and El Atmioui, Naoufal
and Kruse, Alexander}, year={2025} }'
chicago: Behrens, Grit, Yassine Ribouh, Naoufal El Atmioui, and Alexander Kruse.
“Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and
Based on Machine Learning Techniques ,” 2025.
ieee: G. Behrens, Y. Ribouh, N. El Atmioui, and A. Kruse, “Cloud Classification
and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning
Techniques ,” presented at the ICRES - International Conference on Renewable Energy
Systems with focus on Solar Energy , Thessaloniki , 2025.
mla: Behrens, Grit, et al. Cloud Classification and Solar Irradiance Forecasting
Using All-Sky Images and Based on Machine Learning Techniques . 2025.
short: 'G. Behrens, Y. Ribouh, N. El Atmioui, A. Kruse, in: 2025.'
conference:
end_date: 2025-04-11
location: 'Thessaloniki '
name: 'ICRES - International Conference on Renewable Energy Systems with focus on
Solar Energy '
start_date: 2025-04-09
date_created: 2025-02-28T18:04:38Z
date_updated: 2026-06-09T07:28:38Z
language:
- iso: eng
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
quality_controlled: '1'
status: public
title: 'Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images
and based on Machine Learning Techniques '
type: conference
user_id: '250307'
year: '2025'
...
---
_id: '5774'
author:
- first_name: Grit
full_name: Behrens, Grit
id: '207629'
last_name: Behrens
orcid: 0009-0009-0247-8204
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/179142211
- first_name: Yassine
full_name: Ribouh, Yassine
last_name: Ribouh
- first_name: Naoufal
full_name: El Atmioui, Naoufal
last_name: El Atmioui
citation:
alphadin: 'Behrens, Grit ; Ribouh,
Yassine ; El Atmioui, Naoufal:
Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images. In:
, 2025'
ama: 'Behrens G, Ribouh Y, El Atmioui N. Cloud Classification and Solar Irradiance
Forecasting Using All-Sky Images. In: ; 2025.'
apa: Behrens, G., Ribouh, Y., & El Atmioui, N. (2025). Cloud Classification
and Solar Irradiance Forecasting Using All-Sky Images. Presented at the 1. All-Sky
Imager Workshop, Rosenheim.
bibtex: '@inproceedings{Behrens_Ribouh_El Atmioui_2025, title={Cloud Classification
and Solar Irradiance Forecasting Using All-Sky Images}, author={Behrens, Grit
and Ribouh, Yassine and El Atmioui, Naoufal}, year={2025} }'
chicago: Behrens, Grit, Yassine Ribouh, and Naoufal El Atmioui. “Cloud Classification
and Solar Irradiance Forecasting Using All-Sky Images,” 2025.
ieee: G. Behrens, Y. Ribouh, and N. El Atmioui, “Cloud Classification and Solar
Irradiance Forecasting Using All-Sky Images,” presented at the 1. All-Sky Imager
Workshop, Rosenheim, 2025.
mla: Behrens, Grit, et al. Cloud Classification and Solar Irradiance Forecasting
Using All-Sky Images. 2025.
short: 'G. Behrens, Y. Ribouh, N. El Atmioui, in: 2025.'
conference:
end_date: 2025-02-26
location: Rosenheim
name: 1. All-Sky Imager Workshop
start_date: 2025-02-25
date_created: 2025-02-28T17:57:31Z
date_updated: 2026-06-09T07:28:13Z
language:
- iso: eng
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
status: public
title: Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images
type: conference
user_id: '250307'
year: '2025'
...
---
_id: '5772'
author:
- first_name: Grit
full_name: Behrens, Grit
id: '207629'
last_name: Behrens
orcid: 0009-0009-0247-8204
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-0247-8204/work/179140705
- first_name: Daniel
full_name: Marten, Daniel
last_name: Marten
- first_name: Levent
full_name: Koch, Levent
last_name: Koch
- first_name: Marcel
full_name: Gaj, Marcel
last_name: Gaj
citation:
alphadin: 'Behrens, Grit ; Marten,
Daniel ; Koch, Levent ; Gaj, Marcel: Prognose von Pegelständen
mit Methoden des Maschinellen Lernens und frei verfügbaren Daten. In: Fuchs-Kittkowski,
F. ; Abecker, A. ; Hosenfeld, F. ; Reineke,
A. ; Möller, M. ; Springer
(Hrsg.): Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare
Zukunft/ Tagungsband des 31. Workshops „Umweltinformationssysteme (UIS 2024)“
der Fachgruppe „Umweltinformationssysteme“ der Gesellschaft für Informatik (GI).
Berlin : Springer Fachmedien Wiesbaden; Springer Vieweg , 2025'
ama: 'Behrens G, Marten D, Koch L, Gaj M. Prognose von Pegelständen mit Methoden
des Maschinellen Lernens und frei verfügbaren Daten. In: Fuchs-Kittkowski F, Abecker
A, Hosenfeld F, Reineke A, Möller M, Springer, eds. Umweltinformationssysteme
- Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31.
Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme”
der Gesellschaft für Informatik (GI). Berlin: Springer Fachmedien Wiesbaden;
Springer Vieweg ; 2025.'
apa: 'Behrens, G., Marten, D., Koch, L., & Gaj, M. (2025). Prognose von Pegelständen
mit Methoden des Maschinellen Lernens und frei verfügbaren Daten. In F. Fuchs-Kittkowski,
A. Abecker, F. Hosenfeld, A. Reineke, M. Möller, & Springer (Eds.), Umweltinformationssysteme
- Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31.
Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme”
der Gesellschaft für Informatik (GI). Berlin: Springer Fachmedien Wiesbaden;
Springer Vieweg .'
bibtex: '@inproceedings{Behrens_Marten_Koch_Gaj_2025, place={Berlin}, title={Prognose
von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten},
booktitle={Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare
Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)”
der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI)},
publisher={Springer Fachmedien Wiesbaden; Springer Vieweg }, author={Behrens,
Grit and Marten, Daniel and Koch, Levent and Gaj, Marcel}, editor={Fuchs-Kittkowski,
Frank and Abecker, Andreas and Hosenfeld, Friedhelm and Reineke, Anja and Möller,
Matthias and SpringerEditors}, year={2025} }'
chicago: 'Behrens, Grit, Daniel Marten, Levent Koch, and Marcel Gaj. “Prognose von
Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten.”
In Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare
Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)”
der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI),
edited by Frank Fuchs-Kittkowski, Andreas Abecker, Friedhelm Hosenfeld, Anja
Reineke, Matthias Möller, and Springer. Berlin: Springer Fachmedien Wiesbaden;
Springer Vieweg , 2025.'
ieee: G. Behrens, D. Marten, L. Koch, and M. Gaj, “Prognose von Pegelständen mit
Methoden des Maschinellen Lernens und frei verfügbaren Daten,” in Umweltinformationssysteme
- Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31.
Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme”
der Gesellschaft für Informatik (GI), Uni Bamberg, 2025.
mla: Behrens, Grit, et al. “Prognose von Pegelständen mit Methoden des Maschinellen
Lernens und frei verfügbaren Daten.” Umweltinformationssysteme - Digitalisierung
für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme
(UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik
(GI), edited by Frank Fuchs-Kittkowski et al., Springer Fachmedien Wiesbaden;
Springer Vieweg , 2025.
short: 'G. Behrens, D. Marten, L. Koch, M. Gaj, in: F. Fuchs-Kittkowski, A. Abecker,
F. Hosenfeld, A. Reineke, M. Möller, Springer (Eds.), Umweltinformationssysteme
- Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31.
Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme”
der Gesellschaft für Informatik (GI), Springer Fachmedien Wiesbaden; Springer
Vieweg , Berlin, 2025.'
conference:
end_date: 2024-04-12
location: Uni Bamberg
name: '31. Workshop der Fachgruppe 4.6.4 der Gesellschaft für Informatik '
start_date: 2024-04-10
corporate_editor:
- Springer
date_created: 2025-02-28T17:23:16Z
date_updated: 2026-06-09T07:27:39Z
editor:
- first_name: Frank
full_name: Fuchs-Kittkowski, Frank
last_name: Fuchs-Kittkowski
- first_name: 'Andreas '
full_name: 'Abecker, Andreas '
last_name: Abecker
- first_name: 'Friedhelm '
full_name: 'Hosenfeld, Friedhelm '
last_name: Hosenfeld
- first_name: Anja
full_name: Reineke, Anja
last_name: Reineke
- first_name: Matthias
full_name: Möller, Matthias
last_name: Möller
language:
- iso: ger
place: Berlin
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare
Zukunft/ Tagungsband des 31. Workshops "Umweltinformationssysteme (UIS 2024)" der
Fachgruppe "Umweltinformationssysteme" der Gesellschaft für Informatik (GI)
publication_identifier:
isbn:
- 978-3-658-46393-9
publication_status: published
publisher: 'Springer Fachmedien Wiesbaden; Springer Vieweg '
quality_controlled: '1'
related_material:
link:
- relation: contains
url: https://link.springer.com/book/9783658463939
status: public
title: Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren
Daten
type: conference
user_id: '250307'
year: '2025'
...
---
_id: '6449'
author:
- first_name: Francesco
full_name: Casella, Francesco
last_name: Casella
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504612
- first_name: Karim
full_name: Abdelhak, Karim
last_name: Abdelhak
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504613
- first_name: Teus
full_name: Van der Stelt, Teus
last_name: Van der Stelt
citation:
alphadin: 'Casella, Francesco ; Bachmann, Bernhard ; Abdelhak,
Karim ; Hannebohm, Philip
; Van der Stelt, Teus: Diagnosing
Newton’s Solver Convergence Failures in the Initialization of Modelica Models.
In: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU), Linköping
Electronic Conference Proceedings. Bd. 218 : Linköping University Electronic
Press, 2025'
ama: 'Casella F, Bachmann B, Abdelhak K, Hannebohm P, Van der Stelt T. Diagnosing
Newton’s Solver Convergence Failures in the Initialization of Modelica Models.
In: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU). Vol
218. Linköping Electronic Conference Proceedings. Linköping University Electronic
Press; 2025. doi:10.3384/ecp218109'
apa: Casella, F., Bachmann, B., Abdelhak, K., Hannebohm, P., & Van der Stelt,
T. (2025). Diagnosing Newton’s Solver Convergence Failures in the Initialization
of Modelica Models. In Proceedings of the 16th International Modelica&FMI
Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and
Arts (HSLU) (Vol. 218). Linköping University Electronic Press. https://doi.org/10.3384/ecp218109
bibtex: '@inproceedings{Casella_Bachmann_Abdelhak_Hannebohm_Van der Stelt_2025,
series={Linköping Electronic Conference Proceedings}, title={Diagnosing Newton’s
Solver Convergence Failures in the Initialization of Modelica Models}, volume={218},
DOI={10.3384/ecp218109}, booktitle={Proceedings
of the 16th International Modelica&FMI Conference, September 8 – 10, 2025,
Lucerne University of Applied Sciences and Arts (HSLU)}, publisher={Linköping
University Electronic Press}, author={Casella, Francesco and Bachmann, Bernhard
and Abdelhak, Karim and Hannebohm, Philip and Van der Stelt, Teus}, year={2025},
collection={Linköping Electronic Conference Proceedings} }'
chicago: Casella, Francesco, Bernhard Bachmann, Karim Abdelhak, Philip Hannebohm,
and Teus Van der Stelt. “Diagnosing Newton’s Solver Convergence Failures in the
Initialization of Modelica Models.” In Proceedings of the 16th International
Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied
Sciences and Arts (HSLU), Vol. 218. Linköping Electronic Conference Proceedings.
Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218109.
ieee: F. Casella, B. Bachmann, K. Abdelhak, P. Hannebohm, and T. Van der Stelt,
“Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica
Models,” in Proceedings of the 16th International Modelica&FMI Conference,
September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU),
2025, vol. 218.
mla: Casella, Francesco, et al. “Diagnosing Newton’s Solver Convergence Failures
in the Initialization of Modelica Models.” Proceedings of the 16th International
Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied
Sciences and Arts (HSLU), vol. 218, Linköping University Electronic Press,
2025, doi:10.3384/ecp218109.
short: 'F. Casella, B. Bachmann, K. Abdelhak, P. Hannebohm, T. Van der Stelt, in:
Proceedings of the 16th International Modelica&FMI Conference, September 8
– 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU), Linköping
University Electronic Press, 2025.'
conference:
name: The 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne
University of Applied Sciences and Arts (HSLU)
date_created: 2026-01-14T16:10:30Z
date_updated: 2026-06-09T07:27:07Z
doi: 10.3384/ecp218109
intvolume: ' 218'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU)
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
series_title: Linköping Electronic Conference Proceedings
status: public
title: Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica
Models
type: conference
user_id: '250307'
volume: 218
year: '2025'
...
---
_id: '6446'
author:
- first_name: Karim
full_name: Abdelhak, Karim
last_name: Abdelhak
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504543
citation:
alphadin: 'Abdelhak, Karim ; Bachmann, Bernhard: Constant Time Causalization
using Resizable Arrays. In: Proceedings of the 16th International Modelica&FMI
Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and
Arts (HSLU), Linköping Electronic Conference Proceedings. Bd. 218 :
Linköping University Electronic Press, 2025'
ama: 'Abdelhak K, Bachmann B. Constant Time Causalization using Resizable Arrays.
In: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU). Vol
218. Linköping Electronic Conference Proceedings. Linköping University Electronic
Press; 2025. doi:10.3384/ecp218203'
apa: Abdelhak, K., & Bachmann, B. (2025). Constant Time Causalization using
Resizable Arrays. In Proceedings of the 16th International Modelica&FMI
Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and
Arts (HSLU) (Vol. 218). Linköping University Electronic Press. https://doi.org/10.3384/ecp218203
bibtex: '@inproceedings{Abdelhak_Bachmann_2025, series={Linköping Electronic Conference
Proceedings}, title={Constant Time Causalization using Resizable Arrays}, volume={218},
DOI={10.3384/ecp218203}, booktitle={Proceedings
of the 16th International Modelica&FMI Conference, September 8 – 10, 2025,
Lucerne University of Applied Sciences and Arts (HSLU)}, publisher={Linköping
University Electronic Press}, author={Abdelhak, Karim and Bachmann, Bernhard},
year={2025}, collection={Linköping Electronic Conference Proceedings} }'
chicago: Abdelhak, Karim, and Bernhard Bachmann. “Constant Time Causalization Using
Resizable Arrays.” In Proceedings of the 16th International Modelica&FMI
Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and
Arts (HSLU), Vol. 218. Linköping Electronic Conference Proceedings. Linköping
University Electronic Press, 2025. https://doi.org/10.3384/ecp218203.
ieee: K. Abdelhak and B. Bachmann, “Constant Time Causalization using Resizable
Arrays,” in Proceedings of the 16th International Modelica&FMI Conference,
September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU),
2025, vol. 218.
mla: Abdelhak, Karim, and Bernhard Bachmann. “Constant Time Causalization Using
Resizable Arrays.” Proceedings of the 16th International Modelica&FMI Conference,
September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU),
vol. 218, Linköping University Electronic Press, 2025, doi:10.3384/ecp218203.
short: 'K. Abdelhak, B. Bachmann, in: Proceedings of the 16th International Modelica&FMI
Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and
Arts (HSLU), Linköping University Electronic Press, 2025.'
conference:
name: The 16th International Modelica & FMI Conference, September 8 – 10, 2025,
Lucerne University of Applied Sciences and Arts (HSLU)
date_created: 2026-01-14T16:04:54Z
date_updated: 2026-06-09T07:24:26Z
doi: 10.3384/ecp218203
intvolume: ' 218'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference, September
8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU)
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
series_title: Linköping Electronic Conference Proceedings
status: public
title: Constant Time Causalization using Resizable Arrays
type: conference
user_id: '250307'
volume: 218
year: '2025'
...
---
_id: '6445'
article_number: '30'
article_type: original
author:
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504183
- first_name: Luca
full_name: Bonaventura, Luca
last_name: Bonaventura
- first_name: Francesco
full_name: Casella, Francesco
last_name: Casella
- first_name: Soledad
full_name: Fernández-García, Soledad
last_name: Fernández-García
- first_name: Macarena
full_name: Gómez-Mármol, Macarena
last_name: Gómez-Mármol
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504184
citation:
alphadin: 'Bachmann, Bernhard ; Bonaventura, Luca ; Casella,
Francesco ; Fernández-García, Soledad
; Gómez-Mármol, Macarena ; Hannebohm, Philip: Self-Adjusting Multi-Rate
Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework.
In: Journal of Scientific Computing Bd. 105, Springer Science and Business
Media LLC (2025), Nr. 1'
ama: 'Bachmann B, Bonaventura L, Casella F, Fernández-García S, Gómez-Mármol M,
Hannebohm P. Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient
Implementation in An Open Source Framework. Journal of Scientific Computing.
2025;105(1). doi:10.1007/s10915-025-03049-y'
apa: 'Bachmann, B., Bonaventura, L., Casella, F., Fernández-García, S., Gómez-Mármol,
M., & Hannebohm, P. (2025). Self-Adjusting Multi-Rate Runge-Kutta Methods:
Analysis and Efficient Implementation in An Open Source Framework. Journal
of Scientific Computing, 105(1). https://doi.org/10.1007/s10915-025-03049-y'
bibtex: '@article{Bachmann_Bonaventura_Casella_Fernández-García_Gómez-Mármol_Hannebohm_2025,
title={Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation
in An Open Source Framework}, volume={105}, DOI={10.1007/s10915-025-03049-y},
number={130}, journal={Journal of Scientific Computing}, publisher={Springer Science
and Business Media LLC}, author={Bachmann, Bernhard and Bonaventura, Luca and
Casella, Francesco and Fernández-García, Soledad and Gómez-Mármol, Macarena and
Hannebohm, Philip}, year={2025} }'
chicago: 'Bachmann, Bernhard, Luca Bonaventura, Francesco Casella, Soledad Fernández-García,
Macarena Gómez-Mármol, and Philip Hannebohm. “Self-Adjusting Multi-Rate Runge-Kutta
Methods: Analysis and Efficient Implementation in An Open Source Framework.” Journal
of Scientific Computing 105, no. 1 (2025). https://doi.org/10.1007/s10915-025-03049-y.'
ieee: 'B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol,
and P. Hannebohm, “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and
Efficient Implementation in An Open Source Framework,” Journal of Scientific
Computing, vol. 105, no. 1, 2025.'
mla: 'Bachmann, Bernhard, et al. “Self-Adjusting Multi-Rate Runge-Kutta Methods:
Analysis and Efficient Implementation in An Open Source Framework.” Journal
of Scientific Computing, vol. 105, no. 1, 30, Springer Science and Business
Media LLC, 2025, doi:10.1007/s10915-025-03049-y.'
short: B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol,
P. Hannebohm, Journal of Scientific Computing 105 (2025).
date_created: 2026-01-14T16:03:23Z
date_updated: 2026-06-09T07:23:49Z
doi: 10.1007/s10915-025-03049-y
intvolume: ' 105'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Journal of Scientific Computing
publication_identifier:
eissn:
- 1573-7691
issn:
- 0885-7474
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation
in An Open Source Framework'
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author:
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full_name: Langenkamp, Linus
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full_name: Bachmann, Bernhard
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orcid: 0000-0002-4339-0438
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citation:
alphadin: 'Langenkamp, Linus ; Bachmann, Bernhard: Enhancing Collocation-Based
Dynamic Optimization through Adaptive Mesh Refinement. In: Zimmer,
D. ; Müller, U. C. (Hrsg.):
Proceedings of the 16th International Modelica&FMI Conference, Linköping
Electronic Conference Proceedings. Bd. 218 : Linköping University Electronic
Press, 2025, S. 127–138'
ama: 'Langenkamp L, Bachmann B. Enhancing Collocation-Based Dynamic Optimization
through Adaptive Mesh Refinement. In: Zimmer D, Müller UC, eds. Proceedings
of the 16th International Modelica&FMI Conference. Vol 218. Linköping
Electronic Conference Proceedings. Linköping University Electronic Press; 2025:127-138.
doi:10.3384/ecp218127'
apa: 'Langenkamp, L., & Bachmann, B. (2025). Enhancing Collocation-Based Dynamic
Optimization through Adaptive Mesh Refinement. In D. Zimmer & U. C. Müller
(Eds.), Proceedings of the 16th International Modelica&FMI Conference
(Vol. 218, pp. 127–138). Luzern: Linköping University Electronic Press. https://doi.org/10.3384/ecp218127'
bibtex: '@inproceedings{Langenkamp_Bachmann_2025, series={Linköping Electronic Conference
Proceedings}, title={Enhancing Collocation-Based Dynamic Optimization through
Adaptive Mesh Refinement}, volume={218}, DOI={10.3384/ecp218127},
booktitle={Proceedings of the 16th International Modelica&FMI Conference},
publisher={Linköping University Electronic Press}, author={Langenkamp, Linus and
Bachmann, Bernhard}, editor={Zimmer, Dirk and Müller, Ulf ChristianEditors}, year={2025},
pages={127–138}, collection={Linköping Electronic Conference Proceedings} }'
chicago: Langenkamp, Linus, and Bernhard Bachmann. “Enhancing Collocation-Based
Dynamic Optimization through Adaptive Mesh Refinement.” In Proceedings of the
16th International Modelica&FMI Conference, edited by Dirk Zimmer and
Ulf Christian Müller, 218:127–38. Linköping Electronic Conference Proceedings.
Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp218127.
ieee: L. Langenkamp and B. Bachmann, “Enhancing Collocation-Based Dynamic Optimization
through Adaptive Mesh Refinement,” in Proceedings of the 16th International
Modelica&FMI Conference, Luzern, 2025, vol. 218, pp. 127–138.
mla: Langenkamp, Linus, and Bernhard Bachmann. “Enhancing Collocation-Based Dynamic
Optimization through Adaptive Mesh Refinement.” Proceedings of the 16th International
Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian Müller,
vol. 218, Linköping University Electronic Press, 2025, pp. 127–38, doi:10.3384/ecp218127.
short: 'L. Langenkamp, B. Bachmann, in: D. Zimmer, U.C. Müller (Eds.), Proceedings
of the 16th International Modelica&FMI Conference, Linköping University Electronic
Press, 2025, pp. 127–138.'
conference:
end_date: 2025-09-10
location: Luzern
name: The 16th International Modelica&FMI Conference
start_date: 2025-09-08
date_created: 2025-12-02T17:57:34Z
date_updated: 2026-06-09T07:23:15Z
department:
- _id: '103'
doi: 10.3384/ecp218127
editor:
- first_name: Dirk
full_name: Zimmer, Dirk
last_name: Zimmer
- first_name: Ulf Christian
full_name: Müller, Ulf Christian
last_name: Müller
file:
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content_type: application/pdf
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intvolume: ' 218'
keyword:
- Dynamic Optimization
- Direct Collocation
- Adaptive Mesh Refinement
- Nonlinear Programming
language:
- iso: eng
oa: '1'
page: 127 - 138
project:
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name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
series_title: Linköping Electronic Conference Proceedings
status: public
title: Enhancing Collocation-Based Dynamic Optimization through Adaptive Mesh Refinement
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---
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author:
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full_name: Langenkamp, Linus
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last_name: Langenkamp
orcid: 0009-0009-7517-4842
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-7517-4842/work/198540284
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/198540286
- first_name: Bernhard
full_name: Bachmann, Bernhard
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last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/198540287
citation:
alphadin: 'Langenkamp, Linus ; Hannebohm, Philip ; Bachmann,
Bernhard: Efficient Training of Physics-enhanced Neural ODEs via Direct
Collocation and Nonlinear Programming. In: Zimmer,
D. ; Müller, U. C. (Hrsg.):
Proceedings of the 16th International Modelica&FMI Conference. Bd.
218 : Linköping University Electronic Press, 2025, S. 445–457'
ama: 'Langenkamp L, Hannebohm P, Bachmann B. Efficient Training of Physics-enhanced
Neural ODEs via Direct Collocation and Nonlinear Programming. In: Zimmer D, Müller
UC, eds. Proceedings of the 16th International Modelica&FMI Conference.
Vol 218. Linköping University Electronic Press; 2025:445-457. doi:10.3384/ecp218445'
apa: 'Langenkamp, L., Hannebohm, P., & Bachmann, B. (2025). Efficient Training
of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming.
In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International
Modelica&FMI Conference (Vol. 218, pp. 445–457). Luzern: Linköping University
Electronic Press. https://doi.org/10.3384/ecp218445'
bibtex: '@inproceedings{Langenkamp_Hannebohm_Bachmann_2025, title={Efficient Training
of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming},
volume={218}, DOI={10.3384/ecp218445},
booktitle={Proceedings of the 16th International Modelica&FMI Conference},
publisher={Linköping University Electronic Press}, author={Langenkamp, Linus and
Hannebohm, Philip and Bachmann, Bernhard}, editor={Zimmer, Dirk and Müller, Ulf
ChristianEditors}, year={2025}, pages={445–457} }'
chicago: Langenkamp, Linus, Philip Hannebohm, and Bernhard Bachmann. “Efficient
Training of Physics-Enhanced Neural ODEs via Direct Collocation and Nonlinear
Programming.” In Proceedings of the 16th International Modelica&FMI Conference,
edited by Dirk Zimmer and Ulf Christian Müller, 218:445–57. Linköping University
Electronic Press, 2025. https://doi.org/10.3384/ecp218445.
ieee: L. Langenkamp, P. Hannebohm, and B. Bachmann, “Efficient Training of Physics-enhanced
Neural ODEs via Direct Collocation and Nonlinear Programming,” in Proceedings
of the 16th International Modelica&FMI Conference, Luzern, 2025, vol.
218, pp. 445–457.
mla: Langenkamp, Linus, et al. “Efficient Training of Physics-Enhanced Neural ODEs
via Direct Collocation and Nonlinear Programming.” Proceedings of the 16th
International Modelica&FMI Conference, edited by Dirk Zimmer and Ulf Christian
Müller, vol. 218, Linköping University Electronic Press, 2025, pp. 445–57, doi:10.3384/ecp218445.
short: 'L. Langenkamp, P. Hannebohm, B. Bachmann, in: D. Zimmer, U.C. Müller (Eds.),
Proceedings of the 16th International Modelica&FMI Conference, Linköping University
Electronic Press, 2025, pp. 445–457.'
conference:
end_date: 2025-09-10
location: Luzern
name: The 16th International Modelica&FMI Conference
start_date: 2025-09-08
date_created: 2025-12-02T13:49:45Z
date_updated: 2026-06-09T07:22:33Z
department:
- _id: '103'
doi: 10.3384/ecp218445
editor:
- first_name: Dirk
full_name: Zimmer, Dirk
last_name: Zimmer
- first_name: Ulf Christian
full_name: Müller, Ulf Christian
last_name: Müller
file:
- access_level: open_access
content_type: application/pdf
creator: llangenkamp
date_created: 2025-12-02T13:48:28Z
date_updated: 2025-12-02T13:48:28Z
file_id: '6360'
file_name: paper.pdf
file_size: 11486460
relation: main_file
success: 1
file_date_updated: 2025-12-02T13:48:28Z
has_accepted_license: '1'
intvolume: ' 218'
keyword:
- Physics-enhanced Neural ODEs
- Dynamic Optimization
- Nonlinear Programming
- Modelica
- NeuralODEs
- Universal Differential Equations
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 445 - 457
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference
publication_status: published
publisher: Linköping University Electronic Press
status: public
title: Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and
Nonlinear Programming
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type: conference
urn: urn:nbn:de:hbz:bi10-63592
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...
---
_id: '6448'
author:
- first_name: Felix
full_name: Brandt, Felix
last_name: Brandt
- first_name: Andreas
full_name: Heuermann, Andreas
last_name: Heuermann
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/202504693
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/202504694
citation:
alphadin: 'Brandt, Felix ; Heuermann,
Andreas ; Hannebohm, Philip
; Bachmann, Bernhard: Residual-Informed
Learning of Solutions to Algebraic Loops. In: arXiv:2510.09317 (2025)'
ama: Brandt F, Heuermann A, Hannebohm P, Bachmann B. Residual-Informed Learning
of Solutions to Algebraic Loops. arXiv:251009317. 2025.
apa: Brandt, F., Heuermann, A., Hannebohm, P., & Bachmann, B. (2025). Residual-Informed
Learning of Solutions to Algebraic Loops. ArXiv:2510.09317.
bibtex: '@article{Brandt_Heuermann_Hannebohm_Bachmann_2025, title={Residual-Informed
Learning of Solutions to Algebraic Loops}, journal={arXiv:2510.09317}, author={Brandt,
Felix and Heuermann, Andreas and Hannebohm, Philip and Bachmann, Bernhard}, year={2025}
}'
chicago: Brandt, Felix, Andreas Heuermann, Philip Hannebohm, and Bernhard Bachmann.
“Residual-Informed Learning of Solutions to Algebraic Loops.” ArXiv:2510.09317,
2025.
ieee: F. Brandt, A. Heuermann, P. Hannebohm, and B. Bachmann, “Residual-Informed
Learning of Solutions to Algebraic Loops,” arXiv:2510.09317. 2025.
mla: Brandt, Felix, et al. “Residual-Informed Learning of Solutions to Algebraic
Loops.” ArXiv:2510.09317, 2025.
short: F. Brandt, A. Heuermann, P. Hannebohm, B. Bachmann, ArXiv:2510.09317 (2025).
date_created: 2026-01-14T16:09:00Z
date_updated: 2026-06-09T07:22:01Z
language:
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main_file_link:
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oa: '1'
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: arXiv:2510.09317
status: public
title: Residual-Informed Learning of Solutions to Algebraic Loops
type: preprint
user_id: '250307'
year: '2025'
...
---
_id: '6357'
author:
- first_name: Philip
full_name: Hannebohm, Philip
id: '221456'
last_name: Hannebohm
orcid: 0009-0003-8902-9079
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0003-8902-9079/work/198431201
- first_name: Bernhard
full_name: Bachmann, Bernhard
id: '33931'
last_name: Bachmann
orcid: 0000-0002-4339-0438
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4339-0438/work/198431202
citation:
alphadin: 'Hannebohm, Philip ; Bachmann, Bernhard: Selective Evaluation
of RHS during Multi-Rate Simulation. In: Zimmer,
D. ; Müller, U. C. (Hrsg.):
Proceedings of the 16th International Modelica&FMI Conference, Linköping
Electronic Conference Proceedings. Bd. 218 : Linköping University Electronic
Press, 2025, S. 943–947'
ama: 'Hannebohm P, Bachmann B. Selective Evaluation of RHS during Multi-Rate Simulation.
In: Zimmer D, Müller UC, eds. Proceedings of the 16th International Modelica&FMI
Conference. Vol 218. Linköping Electronic Conference Proceedings. Linköping
University Electronic Press; 2025:943–947. doi:10.3384/ecp218943'
apa: 'Hannebohm, P., & Bachmann, B. (2025). Selective Evaluation of RHS during
Multi-Rate Simulation. In D. Zimmer & U. C. Müller (Eds.), Proceedings
of the 16th International Modelica&FMI Conference (Vol. 218, pp. 943–947).
Lucerne: Linköping University Electronic Press. https://doi.org/10.3384/ecp218943'
bibtex: '@inproceedings{Hannebohm_Bachmann_2025, series={Linköping Electronic Conference
Proceedings}, title={Selective Evaluation of RHS during Multi-Rate Simulation},
volume={218}, DOI={10.3384/ecp218943},
booktitle={Proceedings of the 16th International Modelica&FMI Conference},
publisher={Linköping University Electronic Press}, author={Hannebohm, Philip and
Bachmann, Bernhard}, editor={Zimmer, Dirk and Müller, Ulf ChristianEditors}, year={2025},
pages={943–947}, collection={Linköping Electronic Conference Proceedings} }'
chicago: Hannebohm, Philip, and Bernhard Bachmann. “Selective Evaluation of RHS
during Multi-Rate Simulation.” In Proceedings of the 16th International Modelica&FMI
Conference, edited by Dirk Zimmer and Ulf Christian Müller, 218:943–947. Linköping
Electronic Conference Proceedings. Linköping University Electronic Press, 2025.
https://doi.org/10.3384/ecp218943.
ieee: P. Hannebohm and B. Bachmann, “Selective Evaluation of RHS during Multi-Rate
Simulation,” in Proceedings of the 16th International Modelica&FMI Conference,
Lucerne, 2025, vol. 218, pp. 943–947.
mla: Hannebohm, Philip, and Bernhard Bachmann. “Selective Evaluation of RHS during
Multi-Rate Simulation.” Proceedings of the 16th International Modelica&FMI
Conference, edited by Dirk Zimmer and Ulf Christian Müller, vol. 218, Linköping
University Electronic Press, 2025, pp. 943–947, doi:10.3384/ecp218943.
short: 'P. Hannebohm, B. Bachmann, in: D. Zimmer, U.C. Müller (Eds.), Proceedings
of the 16th International Modelica&FMI Conference, Linköping University Electronic
Press, 2025, pp. 943–947.'
conference:
end_date: 2025-09-10
location: Lucerne
name: The 16th International Modelica&FMI Conference
start_date: 2025-09-08
date_created: 2025-12-01T13:48:57Z
date_updated: 2026-06-09T07:21:38Z
department:
- _id: '103'
doi: 10.3384/ecp218943
editor:
- first_name: Dirk
full_name: Zimmer, Dirk
last_name: Zimmer
- first_name: Ulf Christian
full_name: Müller, Ulf Christian
last_name: Müller
file:
- access_level: open_access
content_type: application/pdf
creator: phannebohm
date_created: 2025-12-01T13:55:19Z
date_updated: 2025-12-01T13:55:19Z
file_id: '6358'
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file_size: 149702
relation: main_file
success: 1
file_date_updated: 2025-12-01T13:55:19Z
has_accepted_license: '1'
intvolume: ' 218'
keyword:
- Equation-based modelling
- Multi-rate simulation
- Structural analysis
language:
- iso: eng
oa: '1'
page: 943–947
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Proceedings of the 16th International Modelica&FMI Conference
publication_identifier:
eisbn:
- 978-91-8118-266-8
publication_status: published
publisher: Linköping University Electronic Press
quality_controlled: '1'
series_title: Linköping Electronic Conference Proceedings
status: public
title: Selective Evaluation of RHS during Multi-Rate Simulation
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type: conference_abstract
urn: urn:nbn:de:hbz:bi10-63570
user_id: '250307'
volume: 218
year: '2025'
...