---
_id: '7175'
abstract:
- lang: eng
text: Deep reinforcement learning (RL) policies for robotic control are typically
trained for a single hardware configuration. When a joint locks, the learned mapping
no longer matches the available actuation. This paper investigates whether combining
self-attention with explicit kinematic observations can improve a policy’s adaptability
to varying active-joint configurations. We train a single RL agent to control
a Franka Emika Panda manipulator across different sets of active joints, from
a restricted 4-degree-of-freedom (DOF) mode to the fully redundant 7-DOF configuration.
Instead of fixed-length state vectors, the method processes the active joints
as a variable-length sequence, enriching each joint’s representation with its
relative spatial offset and geometric Jacobian influence. The proposed kinematics-informed
attention architecture reaches a success rate of 82.1% across trained configurations
and 66.6% on unseen configurations, outperforming multilayer perceptron and generic
attention baselines while remaining nearly collision-free. Deployed on a physical
Panda, the simulation-trained agent reaches 79.0% success on the unseen configurations,
closely matching the simulation on the same target schedule (77.0%).
author:
- first_name: Patrick Thomas
full_name: Mayer, Patrick Thomas
id: '244831'
last_name: Mayer
orcid: 0009-0009-6800-1273
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-6800-1273/work/227375532
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227375533
citation:
alphadin: 'Mayer, Patrick Thomas ;
Rexilius, Jan: Adapting to Variable
Active-Joint Configurations via Kinematics-Informed Attention for Robot Arms.
In: 9th Iberian Robotics Conference (ROBOT) '
ama: 'Mayer PT, Rexilius J. Adapting to Variable Active-Joint Configurations via
Kinematics-Informed Attention for Robot Arms. In: 9th Iberian Robotics Conference
(ROBOT) .'
apa: Mayer, P. T., & Rexilius, J. (n.d.). Adapting to Variable Active-Joint
Configurations via Kinematics-Informed Attention for Robot Arms. In 9th Iberian
Robotics Conference (ROBOT) . Barcelona.
bibtex: '@inproceedings{Mayer_Rexilius, title={Adapting to Variable Active-Joint
Configurations via Kinematics-Informed Attention for Robot Arms}, booktitle={9th
Iberian Robotics Conference (ROBOT) }, author={Mayer, Patrick Thomas and Rexilius,
Jan} }'
chicago: Mayer, Patrick Thomas, and Jan Rexilius. “Adapting to Variable Active-Joint
Configurations via Kinematics-Informed Attention for Robot Arms.” In 9th Iberian
Robotics Conference (ROBOT) , n.d.
ieee: P. T. Mayer and J. Rexilius, “Adapting to Variable Active-Joint Configurations
via Kinematics-Informed Attention for Robot Arms,” in 9th Iberian Robotics
Conference (ROBOT) , Barcelona.
mla: Mayer, Patrick Thomas, and Jan Rexilius. “Adapting to Variable Active-Joint
Configurations via Kinematics-Informed Attention for Robot Arms.” 9th Iberian
Robotics Conference (ROBOT) .
short: 'P.T. Mayer, J. Rexilius, in: 9th Iberian Robotics Conference (ROBOT) , n.d.'
conference:
end_date: 2026-11-20
location: Barcelona
name: '9th Iberian Robotics Conference (ROBOT) '
start_date: 2026-11-18
date_created: 2026-09-21T16:34:09Z
date_updated: 2026-10-21T09:44:11Z
department:
- _id: '102'
keyword:
- Reinforcement Learning
- Robotic Manipulation
- Kinematic Adaptation
- Sim-to-Real Transfer
language:
- iso: eng
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication: '9th Iberian Robotics Conference (ROBOT) '
publication_status: accepted
quality_controlled: '1'
status: public
title: Adapting to Variable Active-Joint Configurations via Kinematics-Informed Attention
for Robot Arms
type: conference
user_id: '244831'
year: '2026'
...
---
_id: '7174'
abstract:
- lang: eng
text: This paper presents a hybrid control architecture for dynamic robotic picking
tasks. The framework combines a Deep Reinforcement Learning policy for high-level
interception with a dedicated Inverse Kinematics controller for precise terminal
grasping, while mitigating precision limitations of monolithic learning-based
approaches. The framework utilizes a Proximal Policy Optimization agent to approach
moving targets, seamlessly transitioning to an Inverse Kinematics solver that
reduces terminal orientational and positional errors while minimizing cumulative
control effort. To facilitate deployment on physical hardware, a robust sim-to-real
pipeline incorporating system identification, domain randomization, and latency
injection is employed. Experimental results on a physical Franka Emika Panda manipulator
validate this hybrid architecture. The system achieves an 80% success rate in
pick-and-place tasks, compared to 60.8% for unadapted baselines, with no safety-critical
violations such as joint limit breaches or collisions observed during testing.
author:
- first_name: Patrick Thomas
full_name: Mayer, Patrick Thomas
id: '244831'
last_name: Mayer
orcid: 0009-0009-6800-1273
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0009-6800-1273/work/227375528
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227375529
citation:
alphadin: 'Mayer, Patrick Thomas ;
Rexilius, Jan: A Hybrid Control
Framework Using Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real
Transfer. In: 26th International Conference on Control, Automation and Systems
(ICCAS)'
ama: 'Mayer PT, Rexilius J. A Hybrid Control Framework Using Reinforcement Learning
for Dynamic Robotic Manipulation and Sim-to-Real Transfer. In: 26th International
Conference on Control, Automation and Systems (ICCAS).'
apa: Mayer, P. T., & Rexilius, J. (n.d.). A Hybrid Control Framework Using Reinforcement
Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer. In 26th
International Conference on Control, Automation and Systems (ICCAS). Sapporo.
bibtex: '@inproceedings{Mayer_Rexilius, title={A Hybrid Control Framework Using
Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer},
booktitle={26th International Conference on Control, Automation and Systems (ICCAS)},
author={Mayer, Patrick Thomas and Rexilius, Jan} }'
chicago: Mayer, Patrick Thomas, and Jan Rexilius. “A Hybrid Control Framework Using
Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer.”
In 26th International Conference on Control, Automation and Systems (ICCAS),
n.d.
ieee: P. T. Mayer and J. Rexilius, “A Hybrid Control Framework Using Reinforcement
Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer,” in 26th
International Conference on Control, Automation and Systems (ICCAS), Sapporo.
mla: Mayer, Patrick Thomas, and Jan Rexilius. “A Hybrid Control Framework Using
Reinforcement Learning for Dynamic Robotic Manipulation and Sim-to-Real Transfer.”
26th International Conference on Control, Automation and Systems (ICCAS).
short: 'P.T. Mayer, J. Rexilius, in: 26th International Conference on Control, Automation
and Systems (ICCAS), n.d.'
conference:
end_date: 2026-10-30
location: Sapporo
name: 26th International Conference on Control, Automation and Systems (ICCAS)
start_date: 2026-10-27
date_created: 2026-09-21T16:30:06Z
date_updated: 2026-10-21T09:43:36Z
department:
- _id: '102'
keyword:
- Reinforcement Learning
- Hybrid Control
- Sim-to-Real
- Robotic Manipulation
- Inverse Kinematics.
language:
- iso: eng
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication: 26th International Conference on Control, Automation and Systems (ICCAS)
publication_status: accepted
quality_controlled: '1'
status: public
title: A Hybrid Control Framework Using Reinforcement Learning for Dynamic Robotic
Manipulation and Sim-to-Real Transfer
type: conference
user_id: '244831'
year: '2026'
...
---
_id: '7173'
abstract:
- lang: eng
text: Reinforcement learning has achieved state-of-the-art performance in MAV control,
waypoint flight, and obstacle avoidance. However, existing RL approaches often
assume fixed objectives and constraints, with flight behavior largely limited
by vehicle dynamics and orientation considered only when required for locomotion.
Classical planning and model predictive control handle such constraints explicitly,
but require optimization or replanning. This motivates methods that combine learned
local control with explicit constraint handling. We combine reinforcement learning
with control barrier functions to improve constraint-aware execution. We propose
parameterized waypoints that encode orientation, velocity, and corridor constraints.
Simulation and real-world experiments show that a single policy can execute different
constraint-parameterized navigation scenarios, revealing scenario-dependent trade-offs
between traversal time, tracking accuracy, and constraint satisfaction.
author:
- first_name: André
full_name: Kirsch, André
id: '229807'
last_name: Kirsch
- first_name: Jan
full_name: Rexilius, Jan
id: '245736'
last_name: Rexilius
orcid: 0000-0002-4579-214X
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-4579-214X/work/227345663
citation:
alphadin: 'Kirsch, André ; Rexilius,
Jan: Reinforcement Learning-based MAV Navigation With Parameterized Waypoints:
Incorporating Orientation, Speed Limits, and Corridor Constraints. In:'
ama: 'Kirsch A, Rexilius J. Reinforcement Learning-based MAV Navigation With Parameterized
Waypoints: Incorporating Orientation, Speed Limits, and Corridor Constraints.'
apa: 'Kirsch, A., & Rexilius, J. (n.d.). Reinforcement Learning-based MAV Navigation
With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints. Presented at the 9th Iberian Robotics Conference (ROBOT), Barcelona.'
bibtex: '@inproceedings{Kirsch_Rexilius, title={Reinforcement Learning-based MAV
Navigation With Parameterized Waypoints: Incorporating Orientation, Speed Limits,
and Corridor Constraints}, author={Kirsch, André and Rexilius, Jan} }'
chicago: 'Kirsch, André, and Jan Rexilius. “Reinforcement Learning-Based MAV Navigation
With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints,” n.d.'
ieee: 'A. Kirsch and J. Rexilius, “Reinforcement Learning-based MAV Navigation With
Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints,” presented at the 9th Iberian Robotics Conference (ROBOT), Barcelona.'
mla: 'Kirsch, André, and Jan Rexilius. Reinforcement Learning-Based MAV Navigation
With Parameterized Waypoints: Incorporating Orientation, Speed Limits, and Corridor
Constraints.'
short: 'A. Kirsch, J. Rexilius, in: n.d.'
conference:
end_date: 2026-11-20
location: Barcelona
name: 9th Iberian Robotics Conference (ROBOT)
start_date: 2026-11-18
date_created: 2026-09-21T14:31:38Z
date_updated: 2026-09-24T12:22:54Z
keyword:
- MAV navigation
- Reinforcement learning
- Constrained navigation
- Control barrier functions
language:
- iso: eng
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
name: Institute for Building Intelligence
publication_status: accepted
quality_controlled: '1'
status: public
title: 'Reinforcement Learning-based MAV Navigation With Parameterized Waypoints:
Incorporating Orientation, Speed Limits, and Corridor Constraints'
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '7068'
abstract:
- lang: eng
text: 'Adopting digital twin technologies in small andmedium-sized enterprises (SMEs)
is often hinderedby heterogeneous, poorly documented productiondata. Current semantic
type detection approachesrequire massive labeled datasets making themimpractical
for resource-constrained SMEs. Wepropose a zero-shot hybrid framework combiningpattern-based
classification with selective largelanguage model (LLM) reasoning formanufacturing-specific
data types. The two-stagearchitecture uses rule-based patterns for high-confidence
cases, forwarding ambiguous columnsto a multi-step LLM reasoner. Evaluation on
fourmanufacturing datasets shows the hybrid approachachieves weighted F1 within
7 24 percentagepoints of pure LLM classification performancewhile reducing LLM
invocations by 39% onaverage. Processing time decreased by up to 2.8×.Our framework
addresses a critical gap: automated,computationally efficient data type recognition
formanufacturing SMEs without requiring trainingdata, contributing to automated
simulation anddigital twin construction.'
author:
- first_name: Lina
full_name: Döring, Lina
id: '231689'
last_name: Döring
orcid: 0009-0000-3555-4183
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0000-3555-4183/work/221016189
- 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:
Smart data adapter: A hybrid pattern-LLM approach. In: Behrendt,
F. ; Zadek, H. ; Janmontree,
J. ; Trojahn, S. ; Lang, S. (Hrsg.): 19th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management :
Otto von Guericke University Library, Magdeburg, Germany, 2026'
ama: 'Döring L, Trojahn S, Reusch P. Smart data adapter: A hybrid pattern-LLM approach.
In: Behrendt F, Zadek H, Janmontree J, Trojahn S, Lang S, eds. 19th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management.
Otto von Guericke University Library, Magdeburg, Germany; 2026. doi:10.25673/123544'
apa: 'Döring, L., Trojahn, S., & Reusch, P. (2026). Smart data adapter: A hybrid
pattern-LLM approach. In F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, &
S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management. Magdeburg: Otto von Guericke University
Library, Magdeburg, Germany. https://doi.org/10.25673/123544'
bibtex: '@inproceedings{Döring_Trojahn_Reusch_2026, title={Smart data adapter: A
hybrid pattern-LLM approach}, DOI={10.25673/123544},
booktitle={19th 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={Behrendt, Fabian and Zadek, Hartmut and Janmontree, Jettarat and Trojahn,
Sebastian and Lang, SebastianEditors}, year={2026} }'
chicago: 'Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Smart Data Adapter:
A Hybrid Pattern-LLM Approach.” In 19th International Doctoral Students Workshop
on Logistics, Supply Chain and Production Management, edited by Fabian Behrendt,
Hartmut Zadek, Jettarat Janmontree, Sebastian Trojahn, and Sebastian Lang. Otto
von Guericke University Library, Magdeburg, Germany, 2026. https://doi.org/10.25673/123544.'
ieee: 'L. Döring, S. Trojahn, and P. Reusch, “Smart data adapter: A hybrid pattern-LLM
approach,” in 19th International Doctoral Students Workshop on Logistics, Supply
Chain and Production Management, Magdeburg, 2026.'
mla: 'Döring, Lina, et al. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.”
19th International Doctoral Students Workshop on Logistics, Supply Chain and
Production Management, edited by Fabian Behrendt et al., Otto von Guericke
University Library, Magdeburg, Germany, 2026, doi:10.25673/123544.'
short: 'L. Döring, S. Trojahn, P. Reusch, in: F. Behrendt, H. Zadek, J. Janmontree,
S. Trojahn, S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, Otto von Guericke University Library,
Magdeburg, Germany, 2026.'
conference:
end_date: 2026-06-16
location: Magdeburg
name: 19th International Doctoral Students Workshop on Logistics, Supply Chain and
Production Management
start_date: 2026-06-15
date_created: 2026-07-16T18:51:32Z
date_updated: 2026-07-20T08:11:01Z
department:
- _id: '103'
doi: 10.25673/123544
editor:
- first_name: Fabian
full_name: Behrendt, Fabian
last_name: Behrendt
- first_name: Hartmut
full_name: Zadek, Hartmut
last_name: Zadek
- first_name: Jettarat
full_name: Janmontree, Jettarat
last_name: Janmontree
- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
- first_name: Sebastian
full_name: Lang, Sebastian
last_name: Lang
keyword:
- Semantic Data Type Detection
- DigitalTwin
- Manufacturing SMEs
- Zero-shot Learning
- Hybrid AI
- LLM
language:
- iso: eng
main_file_link:
- url: https://opendata.uni-halle.de/bitstream/1981185920/125478/1/DW16_Smart%20Data%20Adapter%20A%20Hybrid%20Pattern-LLM%20Approach.pdf
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 19th 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'
status: public
title: 'Smart data adapter: A hybrid pattern-LLM approach'
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '7034'
alternative_title:
- Wie flexible Verträge Innovation ermöglichen und welche Risiken sie bergen
article_type: original
author:
- first_name: Jonas
full_name: Prell, Jonas
id: '244719'
last_name: Prell
- 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/219316813
citation:
alphadin: 'Prell, Jonas ; Schmidtmann,
Achim: Adaptive Service Level Agreements. In: ERP Management Bd.
22, GITO Verlag (2026), Nr. 3, S. 28–33'
ama: Prell J, Schmidtmann A. Adaptive Service Level Agreements. ERP Management.
2026;22(3):28-33.
apa: Prell, J., & Schmidtmann, A. (2026). Adaptive Service Level Agreements.
ERP Management, 22(3), 28–33.
bibtex: '@article{Prell_Schmidtmann_2026, title={Adaptive Service Level Agreements},
volume={22}, number={3}, journal={ERP Management}, publisher={GITO Verlag}, author={Prell,
Jonas and Schmidtmann, Achim}, year={2026}, pages={28–33} }'
chicago: 'Prell, Jonas, and Achim Schmidtmann. “Adaptive Service Level Agreements.”
ERP Management 22, no. 3 (2026): 28–33.'
ieee: J. Prell and A. Schmidtmann, “Adaptive Service Level Agreements,” ERP Management,
vol. 22, no. 3, pp. 28–33, 2026.
mla: Prell, Jonas, and Achim Schmidtmann. “Adaptive Service Level Agreements.” ERP
Management, vol. 22, no. 3, GITO Verlag, 2026, pp. 28–33.
short: J. Prell, A. Schmidtmann, ERP Management 22 (2026) 28–33.
date_created: 2026-07-01T09:50:40Z
date_updated: 2026-07-01T11:45:29Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
intvolume: ' 22'
issue: '3'
keyword:
- ERP-Management
- Adaptives SLA
- IT-Governance
- IT-Outsourcing
- Innovationsmanagement
language:
- iso: ger
page: 28-33
publication: ERP Management
publication_identifier:
issn:
- 1860-6725
publication_status: published
publisher: GITO Verlag
status: public
title: Adaptive Service Level Agreements
type: journal_article
user_id: '220548'
volume: 22
year: '2026'
...
---
_id: '6827'
abstract:
- lang: eng
text: "Introduction: Migration is a complicated social phenomenon that has a big
impact on people's access to and use of health care, especially for vulnerable
groups like women and children. The study was carried out to determine the factors
affecting the potential use of health services and their usage by female Turkish
migrants and their children living in Bielefeld, Germany.\r\nMethods: The study
adopted a qualitative design, and in-depth individual interview interviews were
used to collect data. Interviews were conducted with 20 female Turkish migrants
who have children with food allergies between November-December 2023. The data
were analyzed using the content analysis method. \r\nResults: The ages of the
female Turkish migrants participating in the study ranged from 31 to 48. A total
of 4 themes were determined from the codes: 1) Perceptions on health services,
2) Perceptions of health care service in Germany compared to the country of origin,
3) Healthcare utilization and comparative perceptions of health systems, and 4)
Factors that facilitate access to health services and increase satisfaction and
suggestions for improvement. \r\nDiscussion: Mothers have both positive and negative
experiences with the German healthcare system, their perceptions of the German
healthcare system are influenced by their experiences in their home country, there
are factors that increase their satisfaction, they encounter individual and systemic
barriers in healthcare service utilization, and they made some suggestions for
overcoming these barriers.\r\n"
author:
- first_name: Katja
full_name: Makowsky, Katja
id: '208630'
last_name: Makowsky
- first_name: 'Yağmur '
full_name: 'Sezer Efe, Yağmur '
last_name: Sezer Efe
citation:
alphadin: 'Makowsky, Katja ; Sezer Efe, Yağmur : UTILIZATION AND
USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN
GERMANY, 2026'
ama: Makowsky K, Sezer Efe Y. UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE
TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY.; 2026. doi:10.57720/6827
apa: Makowsky, K., & Sezer Efe, Y. (2026). UTILIZATION AND USE OF HEALTH
SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY.
https://doi.org/10.57720/6827
bibtex: '@book{Makowsky_Sezer Efe_2026, title={UTILIZATION AND USE OF HEALTH SERVICES
BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY}, DOI={10.57720/6827},
author={Makowsky, Katja and Sezer Efe, Yağmur }, year={2026} }'
chicago: Makowsky, Katja, and Yağmur Sezer Efe. UTILIZATION AND USE OF HEALTH
SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY,
2026. https://doi.org/10.57720/6827.
ieee: K. Makowsky and Y. Sezer Efe, UTILIZATION AND USE OF HEALTH SERVICES BY
FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY. 2026.
mla: Makowsky, Katja, and Yağmur Sezer Efe. UTILIZATION AND USE OF HEALTH SERVICES
BY FEMALE TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY. 2026, doi:10.57720/6827.
short: K. Makowsky, Y. Sezer Efe, UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE
TURKISH MIGRANTS AND THEIR CHILDREN LIVING IN GERMANY, 2026.
date_created: 2026-04-15T14:43:46Z
date_updated: 2026-04-20T10:12:25Z
department:
- _id: '105'
doi: 10.57720/6827
file:
- access_level: open_access
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: kmakowsky
date_created: 2026-04-15T14:38:56Z
date_updated: 2026-04-15T14:38:56Z
file_id: '6828'
file_name: Manuscript 24.03.2026.docx
file_size: 44155
relation: main_file
success: 1
- access_level: open_access
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: kmakowsky
date_created: 2026-04-15T14:39:25Z
date_updated: 2026-04-15T14:39:25Z
file_id: '6829'
file_name: Tables.docx
file_size: 25642
relation: main_file
success: 1
- access_level: open_access
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: kmakowsky
date_created: 2026-04-15T14:40:25Z
date_updated: 2026-04-15T14:40:25Z
file_id: '6830'
file_name: Title pageKM.docx
file_size: 15134
relation: main_file
success: 1
file_date_updated: 2026-04-15T14:40:25Z
has_accepted_license: '1'
keyword:
- German healthcare system
- factors affecting the potential use of health services
- female Turkish migrants
- their children
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
status: public
title: UTILIZATION AND USE OF HEALTH SERVICES BY FEMALE TURKISH MIGRANTS AND THEIR
CHILDREN LIVING IN GERMANY
type: working_paper
urn: urn:nbn:de:hbz:bi10-68270
user_id: '263827'
year: '2026'
...
---
_id: '6244'
article_number: '261'
article_type: original
author:
- first_name: Marvin
full_name: Niederhaus, Marvin
id: '232004'
last_name: Niederhaus
orcid: 0009-0008-8581-2708
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0008-8581-2708/work/194508828
- first_name: Nico
full_name: Migenda, Nico
id: '218473'
last_name: Migenda
orcid: 0000-0002-7223-1735
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7223-1735/work/194483982
- first_name: Julian
full_name: Weller, Julian
last_name: Weller
- first_name: Martin
full_name: Kohlhase, Martin
id: '226669'
last_name: Kohlhase
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orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9374-0720/work/194483983
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last_name: Schenck
orcid: 0000-0003-3300-2048
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citation:
alphadin: 'Niederhaus, Marvin ; Migenda, Nico ; Weller,
Julian ; Kohlhase, Martin
; Schenck, Wolfram: Integrating
Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. In:
Big Data and Cognitive Computing Bd. 9, MDPI AG (2025), Nr. 10'
ama: Niederhaus M, Migenda N, Weller J, Kohlhase M, Schenck W. Integrating Graph
Retrieval-Augmented Generation into Prescriptive Recommender Systems. Big Data
and Cognitive Computing. 2025;9(10). doi:10.3390/bdcc9100261
apa: Niederhaus, M., Migenda, N., Weller, J., Kohlhase, M., & Schenck, W. (2025).
Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender
Systems. Big Data and Cognitive Computing, 9(10). https://doi.org/10.3390/bdcc9100261
bibtex: '@article{Niederhaus_Migenda_Weller_Kohlhase_Schenck_2025, title={Integrating
Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems}, volume={9},
DOI={10.3390/bdcc9100261}, number={10261},
journal={Big Data and Cognitive Computing}, publisher={MDPI AG}, author={Niederhaus,
Marvin and Migenda, Nico and Weller, Julian and Kohlhase, Martin and Schenck,
Wolfram}, year={2025} }'
chicago: Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram
Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender
Systems.” Big Data and Cognitive Computing 9, no. 10 (2025). https://doi.org/10.3390/bdcc9100261.
ieee: M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, and W. Schenck, “Integrating
Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems,” Big
Data and Cognitive Computing, vol. 9, no. 10, 2025.
mla: Niederhaus, Marvin, et al. “Integrating Graph Retrieval-Augmented Generation
into Prescriptive Recommender Systems.” Big Data and Cognitive Computing,
vol. 9, no. 10, 261, MDPI AG, 2025, doi:10.3390/bdcc9100261.
short: M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, W. Schenck, Big Data and
Cognitive Computing 9 (2025).
date_created: 2025-10-17T07:19:59Z
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file_date_updated: 2025-10-17T07:11:25Z
funded_apc: '1'
has_accepted_license: '1'
intvolume: ' 9'
issue: '10'
keyword:
- prescriptive analytics
- prescriptive platforms
- advanced data analytics
- retrieval-augmented generation
- graph-based retrieval-augmented generation
- large language models
- generative AI
- genAI
- recommender system
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last_name: Röllke
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full_name: Markworth, Cedric
last_name: Markworth
citation:
alphadin: 'Sangel, Marius ; Bensch, Emilia ; Brandt-Pook,
Hans ; Röllke, Timo ; Markworth, Cedric: Automatisierte Erkennung
von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus
dem Projekt TRACES. In: Gesellschaft für
Informatik e.V. (Hrsg.): INFORMATIK 2025. Bonn, 2025, S. 1363–1371'
ama: 'Sangel M, Bensch E, Brandt-Pook H, Röllke T, Markworth C. Automatisierte Erkennung
von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus
dem Projekt TRACES. In: Gesellschaft für Informatik e.V., ed. INFORMATIK 2025.
Bonn; 2025:1363-1371. doi:10.18420/INF2025_121'
apa: 'Sangel, M., Bensch, E., Brandt-Pook, H., Röllke, T., & Markworth, C. (2025).
Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen:
Ansätze und Ergebnisse aus dem Projekt TRACES. In Gesellschaft für Informatik
e.V. (Ed.), INFORMATIK 2025 (pp. 1363–1371). Bonn. https://doi.org/10.18420/INF2025_121'
bibtex: '@inproceedings{Sangel_Bensch_Brandt-Pook_Röllke_Markworth_2025, place={Bonn},
title={Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem
Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES}, DOI={10.18420/INF2025_121},
number={366}, booktitle={INFORMATIK 2025}, author={Sangel, Marius and Bensch,
Emilia and Brandt-Pook, Hans and Röllke, Timo and Markworth, Cedric}, editor={Gesellschaft
für Informatik e.V.Editor}, year={2025}, pages={1363–1371} }'
chicago: 'Sangel, Marius, Emilia Bensch, Hans Brandt-Pook, Timo Röllke, and Cedric
Markworth. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem
Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” In INFORMATIK 2025,
edited by Gesellschaft für Informatik e.V., 1363–71. Bonn, 2025. https://doi.org/10.18420/INF2025_121.'
ieee: 'M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, and C. Markworth, “Automatisierte
Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse
aus dem Projekt TRACES,” in INFORMATIK 2025, Potsdam, 2025, no. 366, pp.
1363–1371.'
mla: 'Sangel, Marius, et al. “Automatisierte Erkennung von Störstoffen in Bioabfall
mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” INFORMATIK
2025, edited by Gesellschaft für Informatik e.V., no. 366, 2025, pp. 1363–71,
doi:10.18420/INF2025_121.'
short: 'M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, C. Markworth, in: Gesellschaft
für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1363–1371.'
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citation:
alphadin: 'Jaster, Bjarne ; Kohlhase, Martin: Trust Issues in Active
Learning and Their Impact on Real-World Applications. In: IEEE
(Hrsg.): 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx Companion) : IEEE, 2025, S. 1–5'
ama: 'Jaster B, Kohlhase M. Trust Issues in Active Learning and Their Impact on
Real-World Applications. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx Companion).
IEEE; 2025:1-5. doi:10.1109/CITRExCompanion65208.2025.10981492'
apa: 'Jaster, B., & Kohlhase, M. (2025). Trust Issues in Active Learning and
Their Impact on Real-World Applications. In IEEE (Ed.), 2025 IEEE Symposium
on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx
Companion) (pp. 1–5). Trondheim, Norway: IEEE. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492'
bibtex: '@inproceedings{Jaster_Kohlhase_2025, title={Trust Issues in Active Learning
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booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx Companion)}, publisher={IEEE}, author={Jaster, Bjarne and
Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–5} }'
chicago: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and
Their Impact on Real-World Applications.” In 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx Companion),
edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492.
ieee: B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact
on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx Companion), Trondheim,
Norway, 2025, pp. 1–5.
mla: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their
Impact on Real-World Applications.” 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx Companion), edited by IEEE,
IEEE, 2025, pp. 1–5, doi:10.1109/CITRExCompanion65208.2025.10981492.
short: 'B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE,
2025, pp. 1–5.'
conference:
end_date: 2025-03-20
location: Trondheim, Norway
name: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx Companion)
start_date: 2025-03-17
corporate_editor:
- IEEE
date_created: 2025-05-05T11:39:04Z
date_updated: 2026-03-17T15:29:25Z
doi: 10.1109/CITRExCompanion65208.2025.10981492
keyword:
- Active Learning
- Trustworthiness
- Evaluation-methods
language:
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page: 1-5
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name: Institute for Data Science Solutions
publication: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
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alphadin: 'Jaster, Bjarne ; Kohlhase, Martin: Trust Issues in Active
Learning and Their Impact on Real-World Applications. In: IEEE
(Hrsg.): 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx Companion) : IEEE, 2025, S. 1–5'
ama: 'Jaster B, Kohlhase M. Trust Issues in Active Learning and Their Impact on
Real-World Applications. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx Companion).
IEEE; 2025:1-5. doi:10.57720/6045'
apa: 'Jaster, B., & Kohlhase, M. (2025). Trust Issues in Active Learning and
Their Impact on Real-World Applications. In IEEE (Ed.), 2025 IEEE Symposium
on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx
Companion) (pp. 1–5). Trondheim, Norway: IEEE. https://doi.org/10.57720/6045'
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and Their Impact on Real-World Applications}, DOI={10.57720/6045},
booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx Companion)}, publisher={IEEE}, author={Jaster, Bjarne and
Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–5} }'
chicago: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and
Their Impact on Real-World Applications.” In 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx Companion),
edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.57720/6045.
ieee: B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact
on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx Companion), Trondheim,
Norway, 2025, pp. 1–5.
mla: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their
Impact on Real-World Applications.” 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx Companion), edited by IEEE,
IEEE, 2025, pp. 1–5, doi:10.57720/6045.
short: 'B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE,
2025, pp. 1–5.'
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location: Trondheim, Norway
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corporate_editor:
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citation:
alphadin: 'Schöne, Marvin ; Jaster, Bjarne ; Bültemeier,
Julian ; Kösters, Justus
; Holst, Christoph-Alexander ; Kohlhase, Martin: Pool-based Active Learning
with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In:
IEEE (Hrsg.): 2025 IEEE Symposium
on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) :
IEEE, 2025, S. 1–9'
ama: 'Schöne M, Jaster B, Bültemeier J, Kösters J, Holst C-A, Kohlhase M. Pool-based
Active Learning with Decision Trees: Incorporate the Tree Structure to Explore
and Exploit. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx). IEEE; 2025:1-9. doi:10.57720/6049'
apa: 'Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., & Kohlhase,
M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree
Structure to Explore and Exploit. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx) (pp. 1–9).
Trondheim, Norway: IEEE. https://doi.org/10.57720/6049'
bibtex: '@inproceedings{Schöne_Jaster_Bültemeier_Kösters_Holst_Kohlhase_2025, title={Pool-based
Active Learning with Decision Trees: Incorporate the Tree Structure to Explore
and Exploit}, DOI={10.57720/6049},
booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx)}, publisher={IEEE}, author={Schöne, Marvin and Jaster, Bjarne
and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and
Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–9} }'
chicago: 'Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander
Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate
the Tree Structure to Explore and Exploit.” In 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx), edited by
IEEE, 1–9. IEEE, 2025. https://doi.org/10.57720/6049.'
ieee: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase,
“Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure
to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025,
pp. 1–9.'
mla: 'Schöne, Marvin, et al. “Pool-Based Active Learning with Decision Trees: Incorporate
the Tree Structure to Explore and Exploit.” 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx), edited by
IEEE, IEEE, 2025, pp. 1–9, doi:10.57720/6049.'
short: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase,
in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible
Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.'
conference:
end_date: 2025-03-20
location: Trondheim, Norway
name: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
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start_date: 2025-03-17
corporate_editor:
- IEEE
date_created: 2025-07-10T06:20:36Z
date_updated: 2026-03-17T15:29:25Z
doi: 10.57720/6049
file:
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success: 1
file_date_updated: 2025-07-10T06:30:41Z
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keyword:
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- Pool-based Active Learning
- Decision Trees
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oa: '1'
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publication: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx)
publication_identifier:
eisbn:
- 979-8-3315-2015-1
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
link:
- description: 'This is the original article published by IEEE. Available online:
10.1109/CITREx64975.2025.10974940.'
relation: earlier_version
url: 10.1109/CITREx64975.2025.10974940
status: public
title: 'Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure
to Explore and Exploit'
type: conference
urn: urn:nbn:de:hbz:bi10-60491
user_id: '263827'
year: '2025'
...
---
_id: '5904'
author:
- first_name: Marvin
full_name: Schöne, Marvin
id: '218388'
last_name: Schöne
- first_name: Bjarne
full_name: Jaster, Bjarne
id: '252434'
last_name: Jaster
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orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8362-5369/work/204125762
- first_name: Julian
full_name: Bültemeier, Julian
last_name: Bültemeier
- first_name: Justus
full_name: Kösters, Justus
last_name: Kösters
- first_name: Christoph-Alexander
full_name: Holst, Christoph-Alexander
last_name: Holst
- 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/204125763
citation:
alphadin: 'Schöne, Marvin ; Jaster, Bjarne ; Bültemeier,
Julian ; Kösters, Justus
; Holst, Christoph-Alexander ; Kohlhase, Martin: Pool-based Active Learning
with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In:
IEEE (Hrsg.): 2025 IEEE Symposium
on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) :
IEEE, 2025, S. 1–9'
ama: 'Schöne M, Jaster B, Bültemeier J, Kösters J, Holst C-A, Kohlhase M. Pool-based
Active Learning with Decision Trees: Incorporate the Tree Structure to Explore
and Exploit. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx). IEEE; 2025:1-9. doi:10.1109/CITREx64975.2025.10974940'
apa: 'Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., & Kohlhase,
M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree
Structure to Explore and Exploit. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx) (pp. 1–9).
Trondheim, Norway: IEEE. https://doi.org/10.1109/CITREx64975.2025.10974940'
bibtex: '@inproceedings{Schöne_Jaster_Bültemeier_Kösters_Holst_Kohlhase_2025, title={Pool-based
Active Learning with Decision Trees: Incorporate the Tree Structure to Explore
and Exploit}, DOI={10.1109/CITREx64975.2025.10974940},
booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx)}, publisher={IEEE}, author={Schöne, Marvin and Jaster, Bjarne
and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and
Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–9} }'
chicago: 'Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander
Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate
the Tree Structure to Explore and Exploit.” In 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx), edited by
IEEE, 1–9. IEEE, 2025. https://doi.org/10.1109/CITREx64975.2025.10974940.'
ieee: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase,
“Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure
to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable
and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025,
pp. 1–9.'
mla: 'Schöne, Marvin, et al. “Pool-Based Active Learning with Decision Trees: Incorporate
the Tree Structure to Explore and Exploit.” 2025 IEEE Symposium on Trustworthy,
Explainable and Responsible Computational Intelligence (CITREx), edited by
IEEE, IEEE, 2025, pp. 1–9, doi:10.1109/CITREx64975.2025.10974940.'
short: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase,
in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible
Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.'
conference:
end_date: 2025-03-20
location: Trondheim, Norway
name: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx)
start_date: 2025-03-17
corporate_editor:
- IEEE
date_created: 2025-04-29T13:20:58Z
date_updated: 2026-03-17T15:29:23Z
doi: 10.1109/CITREx64975.2025.10974940
keyword:
- Interpretability
- Classification
- Pool-based Active Learning
- Decision Trees
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/10974940
page: 1-9
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational
Intelligence (CITREx)
publication_identifier:
eisbn:
- 979-8-3315-2015-1
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: 'Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure
to Explore and Exploit'
type: conference
user_id: '237837'
year: '2025'
...
---
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alternative_id:
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article_number: '958'
article_type: original
author:
- first_name: Anna Katharina
full_name: Schnatmann, Anna Katharina
id: '233154'
last_name: Schnatmann
- first_name: Tobi
full_name: Reimers, Tobi
id: '248126'
last_name: Reimers
- first_name: Erik
full_name: Hüdepohl, Erik
last_name: Hüdepohl
- first_name: Jonah
full_name: Umlauf, Jonah
last_name: Umlauf
- first_name: Pia
full_name: Kleinebekel, Pia
id: '243203'
last_name: Kleinebekel
- first_name: Fabian
full_name: Schoden, Fabian
id: '210954'
last_name: Schoden
orcid: 0000-0002-2481-7141
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-2481-7141/work/157637471
- first_name: Eva
full_name: Schwenzfeier-Hellkamp, Eva
id: '72528'
last_name: Schwenzfeier-Hellkamp
orcid: 0000-0002-3020-1343
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-3020-1343/work/157637472
citation:
alphadin: 'Schnatmann, Anna Katharina
; Reimers, Tobi ; Hüdepohl,
Erik ; Umlauf, Jonah ; Kleinebekel, Pia ; Schoden,
Fabian ; Schwenzfeier-Hellkamp,
Eva: Investigating the Technical Reuse Potential of Crystalline Photovoltaic
Modules with Regard to a Recycling Alternative. In: Sustainability Bd.
16, MDPI AG (2024), Nr. 3'
ama: Schnatmann AK, Reimers T, Hüdepohl E, et al. Investigating the Technical Reuse
Potential of Crystalline Photovoltaic Modules with Regard to a Recycling Alternative.
Sustainability. 2024;16(3). doi:10.3390/su16030958
apa: Schnatmann, A. K., Reimers, T., Hüdepohl, E., Umlauf, J., Kleinebekel, P.,
Schoden, F., & Schwenzfeier-Hellkamp, E. (2024). Investigating the Technical
Reuse Potential of Crystalline Photovoltaic Modules with Regard to a Recycling
Alternative. Sustainability, 16(3). https://doi.org/10.3390/su16030958
bibtex: '@article{Schnatmann_Reimers_Hüdepohl_Umlauf_Kleinebekel_Schoden_Schwenzfeier-Hellkamp_2024,
title={Investigating the Technical Reuse Potential of Crystalline Photovoltaic
Modules with Regard to a Recycling Alternative}, volume={16}, DOI={10.3390/su16030958},
number={3958}, journal={Sustainability}, publisher={MDPI AG}, author={Schnatmann,
Anna Katharina and Reimers, Tobi and Hüdepohl, Erik and Umlauf, Jonah and Kleinebekel,
Pia and Schoden, Fabian and Schwenzfeier-Hellkamp, Eva}, year={2024} }'
chicago: Schnatmann, Anna Katharina, Tobi Reimers, Erik Hüdepohl, Jonah Umlauf,
Pia Kleinebekel, Fabian Schoden, and Eva Schwenzfeier-Hellkamp. “Investigating
the Technical Reuse Potential of Crystalline Photovoltaic Modules with Regard
to a Recycling Alternative.” Sustainability 16, no. 3 (2024). https://doi.org/10.3390/su16030958.
ieee: A. K. Schnatmann et al., “Investigating the Technical Reuse Potential
of Crystalline Photovoltaic Modules with Regard to a Recycling Alternative,” Sustainability,
vol. 16, no. 3, 2024.
mla: Schnatmann, Anna Katharina, et al. “Investigating the Technical Reuse Potential
of Crystalline Photovoltaic Modules with Regard to a Recycling Alternative.” Sustainability,
vol. 16, no. 3, 958, MDPI AG, 2024, doi:10.3390/su16030958.
short: A.K. Schnatmann, T. Reimers, E. Hüdepohl, J. Umlauf, P. Kleinebekel, F. Schoden,
E. Schwenzfeier-Hellkamp, Sustainability 16 (2024).
date_created: 2024-01-25T09:19:48Z
date_updated: 2026-09-07T07:38:16Z
department:
- _id: '103'
doi: 10.3390/su16030958
intvolume: ' 16'
issue: '3'
keyword:
- circular economy
- crystalline photovoltaics
- degradation
- quality management
- reuse
- second-life PV
- electroluminescence
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: 0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7
name: Institut für Technische Energie-Systeme
publication: Sustainability
publication_identifier:
eissn:
- 2071-1050
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Investigating the Technical Reuse Potential of Crystalline Photovoltaic Modules
with Regard to a Recycling Alternative
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type: journal_article
user_id: '231260'
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...
---
_id: '4392'
alternative_id:
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author:
- first_name: Felix
full_name: Grumbach, Felix
id: '243801'
last_name: Grumbach
orcid: 0000-0001-6348-7897
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-6348-7897/work/156390666
citation:
alphadin: 'Grumbach, Felix: Feldsynchrone
Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens
[kumulative Dissertation]. Bernburg : Universitäts- und Landesbibliothek Sachsen-Anhalt,
2024'
ama: 'Grumbach F. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt; 2024. doi:10.25673/115290'
apa: 'Grumbach, F. (2024). Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt. https://doi.org/10.25673/115290'
bibtex: '@book{Grumbach_2024, place={Bernburg}, title={Feldsynchrone Ablaufplanung
dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative
Dissertation]}, DOI={10.25673/115290},
publisher={Universitäts- und Landesbibliothek Sachsen-Anhalt}, author={Grumbach,
Felix}, year={2024} }'
chicago: 'Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. https://doi.org/10.25673/115290.'
ieee: 'F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg:
Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024.'
mla: Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse
mit Techniken des maschinellen Lernens [kumulative Dissertation]. Universitäts-
und Landesbibliothek Sachsen-Anhalt, 2024, doi:10.25673/115290.
short: F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit
Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und
Landesbibliothek Sachsen-Anhalt, Bernburg, 2024.
date_created: 2024-03-14T11:32:15Z
date_updated: 2026-07-06T12:23:58Z
doi: 10.25673/115290
file:
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content_type: application/pdf
creator: fgrumbach1
date_created: 2024-03-14T11:32:13Z
date_updated: 2024-03-14T11:32:13Z
file_id: '4393'
file_name: Diss_FGrumbach_2024_Final.pdf
file_size: 7859995
relation: main_file
success: 1
file_date_updated: 2024-03-14T11:32:13Z
has_accepted_license: '1'
keyword:
- Produktionsplanung und -steuerung
- Operations Research
- Machine Learning
- Reinforcement Learning
language:
- iso: ger
main_file_link:
- open_access: '1'
url: http://dx.doi.org/10.25673/115290
oa: '1'
place: Bernburg
publication_identifier:
eisbn:
- 978-3-96057-174-2
publication_status: published
publisher: Universitäts- und Landesbibliothek Sachsen-Anhalt
status: public
supervisor:
- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
title: Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des
maschinellen Lernens [kumulative Dissertation]
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
urn: urn:nbn:de:hbz:bi10-43927
user_id: '33976'
year: '2024'
...
---
_id: '5022'
alternative_id:
- '5589'
article_number: '2182'
article_type: review
author:
- first_name: Emma
full_name: Davies, Emma
id: '242945'
last_name: Davies
- first_name: Eva
full_name: Schwenzfeier-Hellkamp, Eva
id: '72528'
last_name: Schwenzfeier-Hellkamp
orcid: 0000-0002-3020-1343
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-3020-1343/work/169244834
- first_name: Andrea
full_name: Ehrmann, Andrea
id: '223776'
last_name: Ehrmann
orcid: 0000-0003-0695-3905
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0695-3905/work/169244832
citation:
alphadin: 'Davies, Emma ; Schwenzfeier-Hellkamp,
Eva ; Ehrmann, Andrea: Safety
of Hydrogen Storage Technologies. In: Processes Bd. 12, MDPI AG (2024),
Nr. 10'
ama: Davies E, Schwenzfeier-Hellkamp E, Ehrmann A. Safety of Hydrogen Storage Technologies.
Processes. 2024;12(10). doi:10.3390/pr12102182
apa: Davies, E., Schwenzfeier-Hellkamp, E., & Ehrmann, A. (2024). Safety of
Hydrogen Storage Technologies. Processes, 12(10). https://doi.org/10.3390/pr12102182
bibtex: '@article{Davies_Schwenzfeier-Hellkamp_Ehrmann_2024, title={Safety of Hydrogen
Storage Technologies}, volume={12}, DOI={10.3390/pr12102182},
number={102182}, journal={Processes}, publisher={MDPI AG}, author={Davies, Emma
and Schwenzfeier-Hellkamp, Eva and Ehrmann, Andrea}, year={2024} }'
chicago: Davies, Emma, Eva Schwenzfeier-Hellkamp, and Andrea Ehrmann. “Safety of
Hydrogen Storage Technologies.” Processes 12, no. 10 (2024). https://doi.org/10.3390/pr12102182.
ieee: E. Davies, E. Schwenzfeier-Hellkamp, and A. Ehrmann, “Safety of Hydrogen Storage
Technologies,” Processes, vol. 12, no. 10, 2024.
mla: Davies, Emma, et al. “Safety of Hydrogen Storage Technologies.” Processes,
vol. 12, no. 10, 2182, MDPI AG, 2024, doi:10.3390/pr12102182.
short: E. Davies, E. Schwenzfeier-Hellkamp, A. Ehrmann, Processes 12 (2024).
date_created: 2024-10-09T21:08:39Z
date_updated: 2026-03-17T15:29:12Z
department:
- _id: '103'
doi: 10.3390/pr12102182
file:
- access_level: open_access
content_type: application/pdf
creator: aehrmann
date_created: 2024-10-09T21:07:35Z
date_updated: 2024-10-09T21:07:35Z
file_id: '5023'
file_name: _2024_Davies_Processes12_2182.pdf
file_size: 13213834
relation: main_file
success: 1
file_date_updated: 2024-10-09T21:07:35Z
has_accepted_license: '1'
intvolume: ' 12'
issue: '10'
keyword:
- hydrogen storage system
- hydrogen transport
- hydrogen use
- leakage
- explosion
- pressure
language:
- iso: eng
oa: '1'
project:
- _id: 0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7
name: Institut für Technische Energie-Systeme
publication: Processes
publication_identifier:
eissn:
- 2227-9717
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Safety of Hydrogen Storage Technologies
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
urn: urn:nbn:de:hbz:bi10-50221
user_id: '220548'
volume: 12
year: '2024'
...
---
_id: '4998'
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/169829363
citation:
alphadin: 'Köhler, Gerhard ; Roth, Werner ; Schmidtmann,
Achim: Adaptive IT-Service-Ausschreibung. Der Weg zu agilem und effektiverem
IT-(Out)Sourcing. 1. Aufl. Wiesbaden : Springer Fachmedien Wiesbaden, 2024'
ama: 'Köhler G, Roth W, Schmidtmann A. Adaptive IT-Service-Ausschreibung. Der
Weg zu agilem und effektiverem IT-(Out)Sourcing. 1st ed. Wiesbaden: Springer
Fachmedien Wiesbaden; 2024. doi:10.1007/978-3-658-45536-1'
apa: 'Köhler, G., Roth, W., & Schmidtmann, A. (2024). Adaptive IT-Service-Ausschreibung.
Der Weg zu agilem und effektiverem IT-(Out)Sourcing (1st ed.). Wiesbaden:
Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-45536-1'
bibtex: '@book{Köhler_Roth_Schmidtmann_2024, place={Wiesbaden}, edition={1}, title={Adaptive
IT-Service-Ausschreibung. Der Weg zu agilem und effektiverem IT-(Out)Sourcing},
DOI={10.1007/978-3-658-45536-1},
publisher={Springer Fachmedien Wiesbaden}, author={Köhler, Gerhard and Roth, Werner
and Schmidtmann, Achim}, year={2024} }'
chicago: 'Köhler, Gerhard, Werner Roth, and Achim Schmidtmann. Adaptive IT-Service-Ausschreibung.
Der Weg zu agilem und effektiverem IT-(Out)Sourcing. 1st ed. Wiesbaden: Springer
Fachmedien Wiesbaden, 2024. https://doi.org/10.1007/978-3-658-45536-1.'
ieee: 'G. Köhler, W. Roth, and A. Schmidtmann, Adaptive IT-Service-Ausschreibung.
Der Weg zu agilem und effektiverem IT-(Out)Sourcing, 1st ed. Wiesbaden: Springer
Fachmedien Wiesbaden, 2024.'
mla: Köhler, Gerhard, et al. Adaptive IT-Service-Ausschreibung. Der Weg zu agilem
und effektiverem IT-(Out)Sourcing. 1st ed., Springer Fachmedien Wiesbaden,
2024, doi:10.1007/978-3-658-45536-1.
short: G. Köhler, W. Roth, A. Schmidtmann, Adaptive IT-Service-Ausschreibung. Der
Weg zu agilem und effektiverem IT-(Out)Sourcing, 1st ed., Springer Fachmedien
Wiesbaden, Wiesbaden, 2024.
date_created: 2024-10-08T07:50:50Z
date_updated: 2026-03-17T15:29:11Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
doi: 10.1007/978-3-658-45536-1
edition: '1'
keyword:
- IT-Outsourcing
- IT
- IT-Service
- Ausschreibung
- Agilität
- IT-Dienstleistung
- IT-Service-Management
- Agile
- Ausschreibungsprozess
language:
- iso: ger
page: '259'
place: Wiesbaden
publication_identifier:
eisbn:
- 978-3-658-45536-1
isbn:
- 978-3-658-45535-4
publication_status: published
publisher: Springer Fachmedien Wiesbaden
related_material:
link:
- relation: confirmation
url: https://link.springer.com/book/10.1007/978-3-658-45536-1
status: public
title: Adaptive IT-Service-Ausschreibung. Der Weg zu agilem und effektiverem IT-(Out)Sourcing
type: book
user_id: '220548'
year: '2024'
...
---
_id: '4881'
article_type: original
author:
- first_name: Frauke
full_name: Wiegraebe, Frauke
last_name: Wiegraebe
- first_name: Marleen
full_name: Schönbeck, Marleen
last_name: Schönbeck
- first_name: Paul
full_name: Wunderlich, Paul
last_name: Wunderlich
- first_name: Annette
full_name: Nauerth, Annette
id: '33965'
last_name: Nauerth
orcid: 0009-0006-8407-3136
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0006-8407-3136/work/165894265
- first_name: Helene
full_name: Dörksen, Helene
last_name: Dörksen
citation:
alphadin: 'Wiegraebe, Frauke ; Schönbeck, Marleen ; Wunderlich,
Paul ; Nauerth, Annette ;
Dörksen, Helene: KI-basiertes Unterstützungstool
für pflegende Erwerbstätige. In: Pflege und Gesellschaft Bd. 3, BeltzJuventa
(2024), S. 271–285'
ama: Wiegraebe F, Schönbeck M, Wunderlich P, Nauerth A, Dörksen H. KI-basiertes
Unterstützungstool für pflegende Erwerbstätige. Pflege und Gesellschaft.
2024;3:271-285. doi:10.3262/P&G2403271
apa: Wiegraebe, F., Schönbeck, M., Wunderlich, P., Nauerth, A., & Dörksen, H.
(2024). KI-basiertes Unterstützungstool für pflegende Erwerbstätige. Pflege
und Gesellschaft, 3, 271–285. https://doi.org/10.3262/P&G2403271
bibtex: '@article{Wiegraebe_Schönbeck_Wunderlich_Nauerth_Dörksen_2024, title={KI-basiertes
Unterstützungstool für pflegende Erwerbstätige}, volume={3}, DOI={10.3262/P&G2403271},
journal={Pflege und Gesellschaft}, publisher={BeltzJuventa}, author={Wiegraebe,
Frauke and Schönbeck, Marleen and Wunderlich, Paul and Nauerth, Annette and Dörksen,
Helene}, year={2024}, pages={271–285} }'
chicago: 'Wiegraebe, Frauke, Marleen Schönbeck, Paul Wunderlich, Annette Nauerth,
and Helene Dörksen. “KI-basiertes Unterstützungstool für pflegende Erwerbstätige.”
Pflege und Gesellschaft 3 (2024): 271–85. https://doi.org/10.3262/P&G2403271.'
ieee: F. Wiegraebe, M. Schönbeck, P. Wunderlich, A. Nauerth, and H. Dörksen, “KI-basiertes
Unterstützungstool für pflegende Erwerbstätige,” Pflege und Gesellschaft,
vol. 3, pp. 271–285, 2024.
mla: Wiegraebe, Frauke, et al. “KI-basiertes Unterstützungstool für pflegende Erwerbstätige.”
Pflege und Gesellschaft, vol. 3, BeltzJuventa, 2024, pp. 271–85, doi:10.3262/P&G2403271.
short: F. Wiegraebe, M. Schönbeck, P. Wunderlich, A. Nauerth, H. Dörksen, Pflege
und Gesellschaft 3 (2024) 271–285.
date_created: 2024-08-20T16:06:49Z
date_updated: 2026-03-17T15:29:08Z
department:
- _id: 4b342258-bee3-11eb-b75f-c9bf9d645214
doi: 10.3262/P&G2403271
intvolume: ' 3'
keyword:
- Digital care support tool
- caring workforce
- interdisciplinarity
- AI application
- machine learning
- user orientation
language:
- iso: ger
page: 271-285
publication: Pflege und Gesellschaft
publication_identifier:
issn:
- 1430-9653
publication_status: published
publisher: BeltzJuventa
quality_controlled: '1'
research_group:
- _id: f025f82c-c221-11ec-90a2-d82e18d06cb8
name: CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie
status: public
title: KI-basiertes Unterstützungstool für pflegende Erwerbstätige
type: journal_article
user_id: '220548'
volume: 3
year: '2024'
...
---
_id: '4394'
author:
- first_name: Anna
full_name: Müller, Anna
last_name: Müller
- first_name: Felix
full_name: Grumbach, Felix
id: '243801'
last_name: Grumbach
orcid: 0000-0001-6348-7897
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-6348-7897/work/217047868
citation:
alphadin: 'Müller, Anna ; Grumbach,
Felix: Predicting processing times in high mix low volume job shops. In:
Glistau, E. ; Trojahn,
S. (Hrsg.): 16th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management : Otto von Guericke University Library,
Magdeburg, Germany, 2023'
ama: 'Müller A, Grumbach F. Predicting processing times in high mix low volume job
shops. In: Glistau E, Trojahn S, eds. 16th International Doctoral Students
Workshop on Logistics, Supply Chain and Production Management. Otto von Guericke
University Library, Magdeburg, Germany; 2023. doi:10.25673/103491'
apa: 'Müller, A., & Grumbach, F. (2023). Predicting processing times in high
mix low volume job shops. In E. Glistau & S. Trojahn (Eds.), 16th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management.
Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. https://doi.org/10.25673/103491'
bibtex: '@inproceedings{Müller_Grumbach_2023, title={Predicting processing times
in high mix low volume job shops}, DOI={10.25673/103491},
booktitle={16th International Doctoral Students Workshop on Logistics, Supply
Chain and Production Management}, publisher={Otto von Guericke University Library,
Magdeburg, Germany}, author={Müller, Anna and Grumbach, Felix}, editor={Glistau,
Elke and Trojahn, SebastianEditors}, year={2023} }'
chicago: Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High
Mix Low Volume Job Shops.” In 16th International Doctoral Students Workshop
on Logistics, Supply Chain and Production Management, edited by Elke Glistau
and Sebastian Trojahn. Otto von Guericke University Library, Magdeburg, Germany,
2023. https://doi.org/10.25673/103491.
ieee: A. Müller and F. Grumbach, “Predicting processing times in high mix low volume
job shops,” in 16th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, Magdeburg, 2023.
mla: Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High Mix
Low Volume Job Shops.” 16th International Doctoral Students Workshop on Logistics,
Supply Chain and Production Management, edited by Elke Glistau and Sebastian
Trojahn, Otto von Guericke University Library, Magdeburg, Germany, 2023, doi:10.25673/103491.
short: 'A. Müller, F. Grumbach, in: E. Glistau, S. Trojahn (Eds.), 16th International
Doctoral Students Workshop on Logistics, Supply Chain and Production Management,
Otto von Guericke University Library, Magdeburg, Germany, 2023.'
conference:
end_date: 20.06.2023
location: Magdeburg
name: 16th International Doctoral Students Workshops on Logistics, Supply Chain
and Production Management
start_date: 20.06.2023
date_created: 2024-03-14T11:37:12Z
date_updated: 2026-10-05T12:08:23Z
doi: 10.25673/103491
editor:
- first_name: Elke
full_name: Glistau, Elke
last_name: Glistau
- first_name: Sebastian
full_name: Trojahn, Sebastian
last_name: Trojahn
keyword:
- Machine Learning
- Production scheduling
- time prediction
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://opendata.uni-halle.de//handle/1981185920/105445
oa: '1'
publication: 16th International Doctoral Students Workshop on Logistics, Supply Chain
and Production Management
publisher: Otto von Guericke University Library, Magdeburg, Germany
quality_controlled: '1'
status: public
title: Predicting processing times in high mix low volume job shops
type: conference
user_id: '245729'
year: '2023'
...
---
_id: '2830'
article_number: e38474
article_type: original
author:
- first_name: Isabel
full_name: Klemme, Isabel
last_name: Klemme
- first_name: Kamil Joseph
full_name: Wrona, Kamil Joseph
id: '249234'
last_name: Wrona
orcid: 0000-0002-6834-4075
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6834-4075/work/222795033
- first_name: Irja Marije
full_name: de Jong, Irja Marije
last_name: de Jong
- first_name: Christoph
full_name: Dockweiler, Christoph
last_name: Dockweiler
- first_name: Leona
full_name: Aschentrup, Leona
last_name: Aschentrup
- first_name: Joanna
full_name: Albrecht, Joanna
last_name: Albrecht
citation:
alphadin: 'Klemme, Isabel ; Wrona, Kamil Joseph ; de
Jong, Irja Marije ; Dockweiler,
Christoph ; Aschentrup, Leona
; Albrecht, Joanna: Integration
of the Vision of People With Diabetes Into the Development Process to Improve
Self-management via Diabetes Apps: Qualitative Interview Study. In: JMIR Diabetes
Bd. 8, JMIR Publications Inc. (2023)'
ama: 'Klemme I, Wrona KJ, de Jong IM, Dockweiler C, Aschentrup L, Albrecht J. Integration
of the Vision of People With Diabetes Into the Development Process to Improve
Self-management via Diabetes Apps: Qualitative Interview Study. JMIR Diabetes.
2023;8. doi:10.2196/38474'
apa: 'Klemme, I., Wrona, K. J., de Jong, I. M., Dockweiler, C., Aschentrup, L.,
& Albrecht, J. (2023). Integration of the Vision of People With Diabetes Into
the Development Process to Improve Self-management via Diabetes Apps: Qualitative
Interview Study. JMIR Diabetes, 8. https://doi.org/10.2196/38474'
bibtex: '@article{Klemme_Wrona_de Jong_Dockweiler_Aschentrup_Albrecht_2023, title={Integration
of the Vision of People With Diabetes Into the Development Process to Improve
Self-management via Diabetes Apps: Qualitative Interview Study}, volume={8}, DOI={10.2196/38474}, number={e38474}, journal={JMIR
Diabetes}, publisher={JMIR Publications Inc.}, author={Klemme, Isabel and Wrona,
Kamil Joseph and de Jong, Irja Marije and Dockweiler, Christoph and Aschentrup,
Leona and Albrecht, Joanna}, year={2023} }'
chicago: 'Klemme, Isabel, Kamil Joseph Wrona, Irja Marije de Jong, Christoph Dockweiler,
Leona Aschentrup, and Joanna Albrecht. “Integration of the Vision of People With
Diabetes Into the Development Process to Improve Self-Management via Diabetes
Apps: Qualitative Interview Study.” JMIR Diabetes 8 (2023). https://doi.org/10.2196/38474.'
ieee: 'I. Klemme, K. J. Wrona, I. M. de Jong, C. Dockweiler, L. Aschentrup, and
J. Albrecht, “Integration of the Vision of People With Diabetes Into the Development
Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study,”
JMIR Diabetes, vol. 8, 2023.'
mla: 'Klemme, Isabel, et al. “Integration of the Vision of People With Diabetes
Into the Development Process to Improve Self-Management via Diabetes Apps: Qualitative
Interview Study.” JMIR Diabetes, vol. 8, e38474, JMIR Publications Inc.,
2023, doi:10.2196/38474.'
short: I. Klemme, K.J. Wrona, I.M. de Jong, C. Dockweiler, L. Aschentrup, J. Albrecht,
JMIR Diabetes 8 (2023).
date_created: 2023-04-27T20:04:39Z
date_updated: 2026-08-05T09:05:26Z
department:
- _id: '103'
- _id: 4b342258-bee3-11eb-b75f-c9bf9d645214
doi: 10.2196/38474
funded_apc: '1'
intvolume: ' 8'
keyword:
- people with type 1 diabetes
- self-management
- diabetes apps
- vision assessment
- anticipated stigma
- qualitative research
- Digitale Gesundheitsanwendungen
- DiGA
- mobile phone
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://diabetes.jmir.org/2023/1/e38474
oa: '1'
project:
- _id: 72dfeb62-b436-11ed-9513-f39505d26204
name: CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie
- _id: edf53067-b368-11ed-bde2-9f34a4102af5
name: TransCareTech - Transformation in Care & Technology
publication: JMIR Diabetes
publication_identifier:
eissn:
- 2371-4379
publication_status: published
publisher: JMIR Publications Inc.
quality_controlled: '1'
related_material:
link:
- description: Preprint
relation: earlier_version
url: https://preprints.jmir.org/preprint/38474
status: public
title: 'Integration of the Vision of People With Diabetes Into the Development Process
to Improve Self-management via Diabetes Apps: Qualitative Interview Study'
type: journal_article
user_id: '256529'
volume: 8
year: '2023'
...
---
_id: '3729'
author:
- first_name: Justus
full_name: Kösters, Justus
last_name: Kösters
- first_name: Marvin
full_name: Schöne, Marvin
id: '218388'
last_name: Schöne
- 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/220852306
citation:
alphadin: 'Kösters, Justus ; Schöne, Marvin ; Kohlhase,
Martin: Benchmarking of Machine Learning Models for Tabular Scarce Data'
ama: Kösters J, Schöne M, Kohlhase M. Benchmarking of Machine Learning Models
for Tabular Scarce Data.
apa: Kösters, J., Schöne, M., & Kohlhase, M. (n.d.). Benchmarking of Machine
Learning Models for Tabular Scarce Data.
bibtex: '@book{Kösters_Schöne_Kohlhase, title={Benchmarking of Machine Learning
Models for Tabular Scarce Data}, author={Kösters, Justus and Schöne, Marvin and
Kohlhase, Martin} }'
chicago: Kösters, Justus, Marvin Schöne, and Martin Kohlhase. Benchmarking of
Machine Learning Models for Tabular Scarce Data, n.d.
ieee: J. Kösters, M. Schöne, and M. Kohlhase, Benchmarking of Machine Learning
Models for Tabular Scarce Data. .
mla: Kösters, Justus, et al. Benchmarking of Machine Learning Models for Tabular
Scarce Data.
short: J. Kösters, M. Schöne, M. Kohlhase, Benchmarking of Machine Learning Models
for Tabular Scarce Data, n.d.
date_created: 2023-11-16T13:43:06Z
date_updated: 2026-07-16T08:17:46Z
department:
- _id: '103'
file:
- access_level: open_access
content_type: application/pdf
creator: mschoene
date_created: 2023-11-16T13:42:34Z
date_updated: 2023-11-16T13:42:34Z
file_id: '3730'
file_name: BenchmarkingMlModelsScarceData_Koesters.pdf
file_size: 329931
relation: main_file
success: 1
file_date_updated: 2023-11-16T13:42:34Z
has_accepted_license: '1'
keyword:
- tabular scarce data
- industrial design
- supervised machine learning models
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication_status: submitted
status: public
title: Benchmarking of Machine Learning Models for Tabular Scarce Data
type: working_paper
urn: urn:nbn:de:hbz:bi10-37292
user_id: '231260'
year: '2023'
...