---
_id: '21337'
abstract:
- lang: eng
text: "We present a flexible trust region descend algorithm for unconstrained and\r\nconvexly
constrained multiobjective optimization problems. It is targeted at\r\nheterogeneous
and expensive problems, i.e., problems that have at least one\r\nobjective function
that is computationally expensive. The method is\r\nderivative-free in the sense
that neither need derivative information be\r\navailable for the expensive objectives
nor are gradients approximated using\r\nrepeated function evaluations as is the
case in finite-difference methods.\r\nInstead, a multiobjective trust region approach
is used that works similarly to\r\nits well-known scalar pendants. Local surrogate
models constructed from\r\nevaluation data of the true objective functions are
employed to compute\r\npossible descent directions. In contrast to existing multiobjective
trust\r\nregion algorithms, these surrogates are not polynomial but carefully\r\nconstructed
radial basis function networks. This has the important advantage\r\nthat the number
of data points scales linearly with the parameter space\r\ndimension. The local
models qualify as fully linear and the corresponding\r\ngeneral scalar framework
is adapted for problems with multiple objectives.\r\nConvergence to Pareto critical
points is proven and numerical examples\r\nillustrate our findings."
article_number: '31'
author:
- first_name: Manuel Bastian
full_name: Berkemeier, Manuel Bastian
id: '51701'
last_name: Berkemeier
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent
Method Using Radial Basis Function Surrogate Models. Mathematical and Computational
Applications. 2021;26(2). doi:10.3390/mca26020031
apa: Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust
Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical
and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
bibtex: '@article{Berkemeier_Peitz_2021, title={Derivative-Free Multiobjective Trust
Region Descent Method Using Radial Basis Function Surrogate Models}, volume={26},
DOI={10.3390/mca26020031}, number={231},
journal={Mathematical and Computational Applications}, author={Berkemeier, Manuel
Bastian and Peitz, Sebastian}, year={2021} }'
chicago: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective
Trust Region Descent Method Using Radial Basis Function Surrogate Models.” Mathematical
and Computational Applications 26, no. 2 (2021). https://doi.org/10.3390/mca26020031.
ieee: M. B. Berkemeier and S. Peitz, “Derivative-Free Multiobjective Trust Region
Descent Method Using Radial Basis Function Surrogate Models,” Mathematical
and Computational Applications, vol. 26, no. 2, 2021.
mla: Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective
Trust Region Descent Method Using Radial Basis Function Surrogate Models.” Mathematical
and Computational Applications, vol. 26, no. 2, 31, 2021, doi:10.3390/mca26020031.
short: M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26
(2021).
date_created: 2021-03-01T10:46:48Z
date_updated: 2022-01-06T06:54:55Z
department:
- _id: '101'
- _id: '655'
doi: 10.3390/mca26020031
intvolume: ' 26'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2297-8747/26/2/31/pdf
oa: '1'
publication: Mathematical and Computational Applications
publication_identifier:
eissn:
- 2297-8747
publication_status: published
status: public
title: Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis
Function Surrogate Models
type: journal_article
user_id: '47427'
volume: 26
year: '2021'
...
---
_id: '21543'
abstract:
- lang: eng
text: "Services often consist of multiple chained components such as microservices
in a service mesh, or machine learning functions in a pipeline. Providing these
services requires online coordination including scaling the service, placing instance
of all components in the network, scheduling traffic to these instances, and routing
traffic through the network. Optimized service coordination is still a hard problem
due to many influencing factors such as rapidly arriving user demands and limited
node and link capacity. Existing approaches to solve the problem are often built
on rigid models and assumptions, tailored to specific scenarios. If the scenario
changes and the assumptions no longer hold, they easily break and require manual
adjustments by experts. Novel self-learning approaches using deep reinforcement
learning (DRL) are promising but still have limitations as they only address simplified
versions of the problem and are typically centralized and thus do not scale to
practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed
self-learning service coordination approach using DRL. After centralized training,
we deploy a distributed DRL agent at each node in the network, making fast coordination
decisions locally in parallel with the other nodes. Each agent only observes its
direct neighbors and does not need global knowledge. Hence, our approach scales
independently from the size of the network. In our extensive evaluation using
real-world network topologies and traffic traces, we show that our proposed approach
outperforms a state-of-the-art conventional heuristic as well as a centralized
DRL approach (60% higher throughput on average) while requiring less time per
online decision (1 ms)."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Haydar
full_name: Qarawlus, Haydar
last_name: Qarawlus
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination
Using Deep Reinforcement Learning. In: IEEE International Conference on Distributed
Computing Systems (ICDCS). IEEE; 2021.'
apa: 'Schneider, S. B., Qarawlus, H., & Karl, H. (2021). Distributed Online
Service Coordination Using Deep Reinforcement Learning. In IEEE International
Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA:
IEEE.'
bibtex: '@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online
Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International
Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider,
Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }'
chicago: Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed
Online Service Coordination Using Deep Reinforcement Learning.” In IEEE International
Conference on Distributed Computing Systems (ICDCS). IEEE, 2021.
ieee: S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination
Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed
Computing Systems (ICDCS), Washington, DC, USA, 2021.
mla: Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination
Using Deep Reinforcement Learning.” IEEE International Conference on Distributed
Computing Systems (ICDCS), IEEE, 2021.
short: 'S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference
on Distributed Computing Systems (ICDCS), IEEE, 2021.'
conference:
location: Washington, DC, USA
name: IEEE International Conference on Distributed Computing Systems (ICDCS)
date_created: 2021-03-18T17:15:47Z
date_updated: 2022-01-06T06:55:04Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2021-03-18T17:12:56Z
date_updated: 2021-03-18T17:12:56Z
file_id: '21544'
file_name: public_author_version.pdf
file_size: 606321
relation: main_file
title: Distributed Online Service Coordination Using Deep Reinforcement Learning
file_date_updated: 2021-03-18T17:12:56Z
has_accepted_license: '1'
keyword:
- network management
- service management
- coordination
- reinforcement learning
- distributed
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE International Conference on Distributed Computing Systems (ICDCS)
publisher: IEEE
related_material:
link:
- relation: software
url: https://github.com/ RealVNF/distributed-drl-coordination
status: public
title: Distributed Online Service Coordination Using Deep Reinforcement Learning
type: conference
user_id: '35343'
year: '2021'
...
---
_id: '21569'
abstract:
- lang: eng
text: Die kontinuierliche Weiterentwicklung des eigenen Geschäftsmodells ist für
eine Organisation von entscheidender Bedeutung, um wettbewerbsfähig und somit
nachhaltig erfolgreich zu bleiben. Während für die Entwicklung neuer Geschäftsmodelle
häufig Workshops und einfache Software-Tools zur Visualisierung genutzt werden,
wurden in der Forschung bereits erste Ansätze von datengetriebener Geschäftsmodellentwicklung
(GME) vorgestellt. Diese Ansätze nutzen dabei Daten, Informationen oder auch Wissen
aus internen und externen Unternehmensquellen, um den GME-Prozess zu unterstützen.
Innerhalb dieses Beitrags zeigen wir einige Ansätze aus der aktuellen Literatur
und analysieren wie ihre Datennutzung den GME-Prozess unterstützt. Weiterhin stellen
wir mit dem BMDL Feature Modeler ein Tool vor, welches den GME-Prozess mit Expertenwissen
unterstützt.
author:
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
citation:
ama: 'Gottschalk S, Yigitbas E. Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung:
Ein Überblick über Software-Tools und deren Datennutzung. Vol 1. Gesellschaft
für Informatik; 2021.'
apa: 'Gottschalk, S., & Yigitbas, E. (2021). Von datenbasierter zu datengetriebener
Geschäftsmodellentwicklung: Ein Überblick über Software-Tools und deren Datennutzung
(Vol. 1). Gesellschaft für Informatik.'
bibtex: '@book{Gottschalk_Yigitbas_2021, series={WI-MAW-Rundbrief}, title={Von datenbasierter
zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools
und deren Datennutzung}, volume={1}, publisher={Gesellschaft für Informatik},
author={Gottschalk, Sebastian and Yigitbas, Enes}, year={2021}, collection={WI-MAW-Rundbrief}
}'
chicago: 'Gottschalk, Sebastian, and Enes Yigitbas. Von datenbasierter zu datengetriebener
Geschäftsmodellentwicklung: Ein Überblick über Software-Tools und deren Datennutzung.
Vol. 1. WI-MAW-Rundbrief. Gesellschaft für Informatik, 2021.'
ieee: 'S. Gottschalk and E. Yigitbas, Von datenbasierter zu datengetriebener
Geschäftsmodellentwicklung: Ein Überblick über Software-Tools und deren Datennutzung,
vol. 1. Gesellschaft für Informatik, 2021.'
mla: 'Gottschalk, Sebastian, and Enes Yigitbas. Von datenbasierter zu datengetriebener
Geschäftsmodellentwicklung: Ein Überblick über Software-Tools und deren Datennutzung.
Vol. 1, Gesellschaft für Informatik, 2021.'
short: 'S. Gottschalk, E. Yigitbas, Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung:
Ein Überblick über Software-Tools und deren Datennutzung, Gesellschaft für Informatik,
2021.'
date_created: 2021-03-25T10:02:18Z
date_updated: 2022-01-06T06:55:06Z
department:
- _id: '66'
- _id: '534'
intvolume: ' 1'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://fa-wi-maw.gi.de/fileadmin/FA/WI-MAW/Rundbriefe/3037624_GI_45_Rundbrief_JG27.pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
publication_identifier:
unknown:
- 1610-5753
publisher: Gesellschaft für Informatik
series_title: WI-MAW-Rundbrief
status: public
title: 'Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick
über Software-Tools und deren Datennutzung'
type: report
user_id: '47208'
volume: 1
year: '2021'
...
---
_id: '21601'
abstract:
- lang: eng
text: The invention describes a distributed merchandise management system, in which
the client, retailer and the manufacturer are linked by a network. This is implemented
by a cloud storage (105), the cloud storage (105) comprising a means (105 a) for
storing data, a means for receiving first data from a first network node (110),
the first data being associated with a physical object, a means for receiving
request data from a second network node (120), a means for receiving second data
from a third network node (130), the second data being associated with the first
data and comprising at least one data piece adapted to change the first data depending
on the received request data, a means for changing the first data based at least
in part on the second data and the request data, and a means for sending a changed
portion of the first data from the cloud storage (105) to the first network node
(110).
application_date: 2019-04-12
application_number: 17050,078
author:
- first_name: Thomas
full_name: Göllner, Thomas
last_name: Göllner
- first_name: Jan-Hendrik
full_name: Schwarz, Jan-Hendrik
last_name: Schwarz
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Stefan
full_name: Sauer, Stefan
id: '447'
last_name: Sauer
citation:
ama: Göllner T, Schwarz J-H, Gottschalk S, Sauer S. Distributed merchandise management
system. 2021.
apa: Göllner, T., Schwarz, J.-H., Gottschalk, S., & Sauer, S. (2021). Distributed
merchandise management system.
bibtex: '@article{Göllner_Schwarz_Gottschalk_Sauer_2021, title={Distributed merchandise
management system}, author={Göllner, Thomas and Schwarz, Jan-Hendrik and Gottschalk,
Sebastian and Sauer, Stefan}, year={2021} }'
chicago: Göllner, Thomas, Jan-Hendrik Schwarz, Sebastian Gottschalk, and Stefan
Sauer. “Distributed Merchandise Management System,” 2021.
ieee: T. Göllner, J.-H. Schwarz, S. Gottschalk, and S. Sauer, “Distributed merchandise
management system.” 2021.
mla: Göllner, Thomas, et al. Distributed Merchandise Management System. 2021.
short: T. Göllner, J.-H. Schwarz, S. Gottschalk, S. Sauer, (2021).
date_created: 2021-04-09T09:47:52Z
date_updated: 2022-01-06T06:55:07Z
department:
- _id: '66'
ipc: 06Q 30/02, H04W 4/02, 06F 16/182
ipn: US 2021/0081978 A1
main_file_link:
- open_access: '1'
url: https://patents.google.com/patent/US20210081978A1/en
oa: '1'
publication_date: 2021-03-18
status: public
title: Distributed merchandise management system
type: patent
user_id: '47208'
year: '2021'
...
---
_id: '21631'
abstract:
- lang: eng
text: Secret sharing is a well-established cryptographic primitive for storing
highly sensitive information like encryption keys for encoded data. It describes
the problem of splitting a secret into different shares, without revealing any
information to its shareholders. Here, we demonstrate an all-optical solution
for secret sharing based on metasurface holography. In our concept, metasurface
holograms are used as spatially separable shares that carry encrypted messages
in the form of holographic images. Two of these shares can be recombined by bringing
them close together. Light passing through this stack of metasurfaces accumulates
the phase shift of both holograms and optically reconstructs the secret with high
fidelity. In addition, the hologram generated by each single metasurface can uniquely
identify its shareholder. Furthermore, we demonstrate that the inherent translational
alignment sensitivity between two stacked metasurface holograms can be used for
spatial multiplexing, which can be further extended to realize optical rulers.
article_number: eabf9718
article_type: original
author:
- first_name: Philip
full_name: Georgi, Philip
last_name: Georgi
- first_name: Qunshuo
full_name: Wei, Qunshuo
last_name: Wei
- first_name: Basudeb
full_name: Sain, Basudeb
last_name: Sain
- first_name: Christian
full_name: Schlickriede, Christian
id: '59792'
last_name: Schlickriede
- first_name: Yongtian
full_name: Wang, Yongtian
last_name: Wang
- first_name: Lingling
full_name: Huang, Lingling
last_name: Huang
- first_name: Thomas
full_name: Zentgraf, Thomas
id: '30525'
last_name: Zentgraf
orcid: 0000-0002-8662-1101
citation:
ama: Georgi P, Wei Q, Sain B, et al. Optical secret sharing with cascaded metasurface
holography. Science Advances. 2021;7(16). doi:10.1126/sciadv.abf9718
apa: Georgi, P., Wei, Q., Sain, B., Schlickriede, C., Wang, Y., Huang, L., &
Zentgraf, T. (2021). Optical secret sharing with cascaded metasurface holography.
Science Advances, 7(16). https://doi.org/10.1126/sciadv.abf9718
bibtex: '@article{Georgi_Wei_Sain_Schlickriede_Wang_Huang_Zentgraf_2021, title={Optical
secret sharing with cascaded metasurface holography}, volume={7}, DOI={10.1126/sciadv.abf9718},
number={16eabf9718}, journal={Science Advances}, author={Georgi, Philip and Wei,
Qunshuo and Sain, Basudeb and Schlickriede, Christian and Wang, Yongtian and Huang,
Lingling and Zentgraf, Thomas}, year={2021} }'
chicago: Georgi, Philip, Qunshuo Wei, Basudeb Sain, Christian Schlickriede, Yongtian
Wang, Lingling Huang, and Thomas Zentgraf. “Optical Secret Sharing with Cascaded
Metasurface Holography.” Science Advances 7, no. 16 (2021). https://doi.org/10.1126/sciadv.abf9718.
ieee: P. Georgi et al., “Optical secret sharing with cascaded metasurface
holography,” Science Advances, vol. 7, no. 16, 2021.
mla: Georgi, Philip, et al. “Optical Secret Sharing with Cascaded Metasurface Holography.”
Science Advances, vol. 7, no. 16, eabf9718, 2021, doi:10.1126/sciadv.abf9718.
short: P. Georgi, Q. Wei, B. Sain, C. Schlickriede, Y. Wang, L. Huang, T. Zentgraf,
Science Advances 7 (2021).
date_created: 2021-04-16T08:08:49Z
date_updated: 2022-01-06T06:55:08Z
department:
- _id: '15'
- _id: '230'
- _id: '289'
- _id: '623'
doi: 10.1126/sciadv.abf9718
intvolume: ' 7'
issue: '16'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://advances.sciencemag.org/content/7/16/eabf9718
oa: '1'
publication: Science Advances
publication_identifier:
issn:
- 2375-2548
publication_status: published
quality_controlled: '1'
status: public
title: Optical secret sharing with cascaded metasurface holography
type: journal_article
user_id: '30525'
volume: 7
year: '2021'
...
---
_id: '21637'
author:
- first_name: Julian
full_name: Lienen, Julian
id: '44040'
last_name: Lienen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Lienen J, Hüllermeier E. From Label Smoothing to Label Relaxation. In: Proceedings
of the 35th AAAI Conference on Artificial Intelligence, AAAI. Vol 35. AAAI
Press; 2021:8583-8591.'
apa: 'Lienen, J., & Hüllermeier, E. (2021). From Label Smoothing to Label Relaxation.
In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI
(Vol. 35, pp. 8583–8591). Online: AAAI Press.'
bibtex: '@inproceedings{Lienen_Hüllermeier_2021, title={From Label Smoothing to
Label Relaxation}, volume={35}, number={10}, booktitle={Proceedings of the 35th
AAAI Conference on Artificial Intelligence, AAAI}, publisher={AAAI Press}, author={Lienen,
Julian and Hüllermeier, Eyke}, year={2021}, pages={8583–8591} }'
chicago: Lienen, Julian, and Eyke Hüllermeier. “From Label Smoothing to Label Relaxation.”
In Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI,
35:8583–91. AAAI Press, 2021.
ieee: J. Lienen and E. Hüllermeier, “From Label Smoothing to Label Relaxation,”
in Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI,
Online, 2021, vol. 35, no. 10, pp. 8583–8591.
mla: Lienen, Julian, and Eyke Hüllermeier. “From Label Smoothing to Label Relaxation.”
Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI,
vol. 35, no. 10, AAAI Press, 2021, pp. 8583–91.
short: 'J. Lienen, E. Hüllermeier, in: Proceedings of the 35th AAAI Conference on
Artificial Intelligence, AAAI, AAAI Press, 2021, pp. 8583–8591.'
conference:
end_date: 2021-02-09
location: Online
name: 35th AAAI Conference on Artificial Intelligence, AAAI
start_date: 2021-02-02
date_created: 2021-04-20T06:50:43Z
date_updated: 2022-01-06T06:55:08Z
intvolume: ' 35'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ojs.aaai.org/index.php/AAAI/article/view/17041
oa: '1'
page: 8583-8591
publication: Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI
publisher: AAAI Press
status: public
title: From Label Smoothing to Label Relaxation
type: conference
user_id: '44040'
volume: 35
year: '2021'
...
---
_id: '21639'
abstract:
- lang: eng
text: 'The development of effective business models is an essential task in highly
competitive markets like mobile ecosystems. Existing development methods for these
business models do not specifically focus that the development process profoundly
depends on the situation (e.g., market size, regulations) of the mobile app developer.
Here, a mismatch between method and situation can lead to poor resource management
and longer development cycles. In software engineering, situational method engineering
is used for software projects to configure a development method out of a method
repository based on the project situation. Analogously, we support creating situation-specific
business model development methods with a method base and new user roles. Here,
the method engineer obtains the knowledge of the domain expert and stores it in
the method base as elements, building blocks, and patterns. The expert knowledge
is derived from a grey literature review on mobile development processes. After
this, the method engineer constructs the development method based on the described
situation of the business developer. We provide an open-source tool and evaluate
it by constructing a local event platform''s business model development method. '
author:
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Alexander
full_name: Nowosad, Alexander
last_name: Nowosad
- first_name: Gregor
full_name: Engels, Gregor
last_name: Engels
citation:
ama: 'Gottschalk S, Yigitbas E, Nowosad A, Engels G. Situation-specific Business
Model Development Methods for Mobile App Developers. In: Enterprise, Business-Process
and Information Systems Modeling. Springer; 2021. doi:10.1007/978-3-030-79186-5_17'
apa: Gottschalk, S., Yigitbas, E., Nowosad, A., & Engels, G. (2021). Situation-specific
Business Model Development Methods for Mobile App Developers. In Enterprise,
Business-Process and Information Systems Modeling. Springer. https://doi.org/10.1007/978-3-030-79186-5_17
bibtex: '@inproceedings{Gottschalk_Yigitbas_Nowosad_Engels_2021, title={Situation-specific
Business Model Development Methods for Mobile App Developers}, DOI={10.1007/978-3-030-79186-5_17},
booktitle={Enterprise, Business-Process and Information Systems Modeling}, publisher={Springer},
author={Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels,
Gregor}, year={2021} }'
chicago: Gottschalk, Sebastian, Enes Yigitbas, Alexander Nowosad, and Gregor Engels.
“Situation-Specific Business Model Development Methods for Mobile App Developers.”
In Enterprise, Business-Process and Information Systems Modeling. Springer,
2021. https://doi.org/10.1007/978-3-030-79186-5_17.
ieee: S. Gottschalk, E. Yigitbas, A. Nowosad, and G. Engels, “Situation-specific
Business Model Development Methods for Mobile App Developers,” in Enterprise,
Business-Process and Information Systems Modeling, 2021.
mla: Gottschalk, Sebastian, et al. “Situation-Specific Business Model Development
Methods for Mobile App Developers.” Enterprise, Business-Process and Information
Systems Modeling, Springer, 2021, doi:10.1007/978-3-030-79186-5_17.
short: 'S. Gottschalk, E. Yigitbas, A. Nowosad, G. Engels, in: Enterprise, Business-Process
and Information Systems Modeling, Springer, 2021.'
date_created: 2021-04-20T13:23:41Z
date_updated: 2022-01-06T06:55:08Z
ddc:
- '000'
department:
- _id: '66'
- _id: '534'
doi: 10.1007/978-3-030-79186-5_17
file:
- access_level: open_access
content_type: application/pdf
creator: sego
date_created: 2021-07-20T16:19:27Z
date_updated: 2021-07-20T16:20:15Z
file_id: '22769'
file_name: EMMSAD21.pdf
file_size: 638707
relation: main_file
file_date_updated: 2021-07-20T16:20:15Z
has_accepted_license: '1'
keyword:
- Business Model Development
- Situational Method Engineering
- Mobile App
- Business Model Development Tools
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
publication: Enterprise, Business-Process and Information Systems Modeling
publisher: Springer
status: public
title: Situation-specific Business Model Development Methods for Mobile App Developers
type: conference
user_id: '47208'
year: '2021'
...
---
_id: '23526'
abstract:
- lang: eng
text: Modern and flexible application-level software platforms increase
the attack surface of connected vehicles and thereby require automotive engineers
to adopt additional security control techniques. These techniques encompass host-based
intrusion detection systems (HIDSs) that detect suspicious activities in application
contexts. Such application-aware HIDSs originate in information and communications
technology systems and have a great potential to deal with the flexible nature
of application-level software platforms. However, the elementary characteristics
of known application-aware HIDS approaches and thereby the implications for their
transfer to the automotive sector are unclear. In previous work, we presented
a systematic literature review (SLR) covering the state of the art of application-aware
HIDS approaches. We synthesized our findings by means of a fine-grained classification
for each approach specified through a feature model and corresponding variant
models. These models represent the approaches’ elementary characteristics. Furthermore,
we summarized key findings and inferred implications for the transfer of application-aware
HIDSs to the automotive sector. In this article, we extend the previous work by
several aspects. We adjust the quality evaluation process within the SLR to be
able to consider high quality conference publications, which results in an extended
final pool of publications. For supporting HIDS developers on the task of configuring
HIDS analysis techniques based on machine learning, we report on initial results
on the applicability of AutoML. Furthermore, we present lessons learned regarding
the application of the feature and variant model approach for SLRs. Finally, we
more thoroughly describe the SLR study design.
author:
- first_name: David
full_name: Schubert, David
id: '9106'
last_name: Schubert
- first_name: Hendrik
full_name: Eikerling, Hendrik
id: '29279'
last_name: Eikerling
- first_name: Jörg
full_name: Holtmann, Jörg
id: '3875'
last_name: Holtmann
orcid: 0000-0001-6141-4571
citation:
ama: 'Schubert D, Eikerling H, Holtmann J. Application-Aware Intrusion Detection:
A Systematic Literature Review, Implications for Automotive Systems, and Applicability
of AutoML. Frontiers in Computer Science. 2021;3. doi:10.3389/fcomp.2021.567873'
apa: 'Schubert, D., Eikerling, H., & Holtmann, J. (2021). Application-Aware
Intrusion Detection: A Systematic Literature Review, Implications for Automotive
Systems, and Applicability of AutoML. Frontiers in Computer Science, 3.
https://doi.org/10.3389/fcomp.2021.567873'
bibtex: '@article{Schubert_Eikerling_Holtmann_2021, title={Application-Aware Intrusion
Detection: A Systematic Literature Review, Implications for Automotive Systems,
and Applicability of AutoML}, volume={3}, DOI={10.3389/fcomp.2021.567873},
journal={Frontiers in Computer Science}, publisher={Frontiers Media}, author={Schubert,
David and Eikerling, Hendrik and Holtmann, Jörg}, year={2021} }'
chicago: 'Schubert, David, Hendrik Eikerling, and Jörg Holtmann. “Application-Aware
Intrusion Detection: A Systematic Literature Review, Implications for Automotive
Systems, and Applicability of AutoML.” Frontiers in Computer Science 3
(2021). https://doi.org/10.3389/fcomp.2021.567873.'
ieee: 'D. Schubert, H. Eikerling, and J. Holtmann, “Application-Aware Intrusion
Detection: A Systematic Literature Review, Implications for Automotive Systems,
and Applicability of AutoML,” Frontiers in Computer Science, vol. 3, 2021.'
mla: 'Schubert, David, et al. “Application-Aware Intrusion Detection: A Systematic
Literature Review, Implications for Automotive Systems, and Applicability of AutoML.”
Frontiers in Computer Science, vol. 3, Frontiers Media, 2021, doi:10.3389/fcomp.2021.567873.'
short: D. Schubert, H. Eikerling, J. Holtmann, Frontiers in Computer Science 3 (2021).
date_created: 2021-08-26T09:53:54Z
date_updated: 2022-01-06T06:55:56Z
department:
- _id: '241'
- _id: '662'
doi: 10.3389/fcomp.2021.567873
intvolume: ' 3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.frontiersin.org/articles/10.3389/fcomp.2021.567873/full
oa: '1'
publication: Frontiers in Computer Science
publication_identifier:
issn:
- 2624-9898
publication_status: published
publisher: Frontiers Media
status: public
title: 'Application-Aware Intrusion Detection: A Systematic Literature Review, Implications
for Automotive Systems, and Applicability of AutoML'
type: journal_article
user_id: '29279'
volume: 3
year: '2021'
...
---
_id: '23708'
author:
- first_name: Zahra
full_name: Nouri, Zahra
id: '35802'
last_name: Nouri
- first_name: Ujwal
full_name: Gadiraju, Ujwal
last_name: Gadiraju
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational
Assessment of Task Clarity in Crowdsourcing. In: Proceedings of the 32nd ACM
Conference on Hypertext and Social Media. ; 2021:165-175.'
apa: Nouri, Z., Gadiraju, U., Engels, G., & Wachsmuth, H. (2021). What Is Unclear?
Computational Assessment of Task Clarity in Crowdsourcing. Proceedings of the
32nd ACM Conference on Hypertext and Social Media, 165–175.
bibtex: '@inproceedings{Nouri_Gadiraju_Engels_Wachsmuth_2021, title={What Is Unclear?
Computational Assessment of Task Clarity in Crowdsourcing}, booktitle={Proceedings
of the 32nd ACM Conference on Hypertext and Social Media}, author={Nouri, Zahra
and Gadiraju, Ujwal and Engels, Gregor and Wachsmuth, Henning}, year={2021}, pages={165–175}
}'
chicago: Nouri, Zahra, Ujwal Gadiraju, Gregor Engels, and Henning Wachsmuth. “What
Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” In Proceedings
of the 32nd ACM Conference on Hypertext and Social Media, 165–75, 2021.
ieee: Z. Nouri, U. Gadiraju, G. Engels, and H. Wachsmuth, “What Is Unclear? Computational
Assessment of Task Clarity in Crowdsourcing,” in Proceedings of the 32nd ACM
Conference on Hypertext and Social Media, 2021, pp. 165–175.
mla: Nouri, Zahra, et al. “What Is Unclear? Computational Assessment of Task Clarity
in Crowdsourcing.” Proceedings of the 32nd ACM Conference on Hypertext and
Social Media, 2021, pp. 165–75.
short: 'Z. Nouri, U. Gadiraju, G. Engels, H. Wachsmuth, in: Proceedings of the 32nd
ACM Conference on Hypertext and Social Media, 2021, pp. 165–175.'
date_created: 2021-09-02T20:05:52Z
date_updated: 2022-01-06T06:55:58Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/pdf/10.1145/3465336.3475109
oa: '1'
page: 165-175
publication: Proceedings of the 32nd ACM Conference on Hypertext and Social Media
status: public
title: What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '23760'
abstract:
- lang: eng
text: "The laser sintering process has been a well-established AM process for many
years.\r\nDisadvantages of LS are the low material variety and the thermal damage
of the unprocessed\r\nmaterial. The low temperature laser sintering attacks at
this point and processes powder material at\r\na build chamber temperature lower
than the recrystallization temperature. This drastic reduction in\r\ntemperature
results in significantly less thermal damage to the material. This work deals
with the\r\nlow temperature laser sintering of Polyamide 12 (PA12) on a commercial,
unmodified laser\r\nsintering system to compare it to standard laser sintered
PA12 and to create the basis for low\r\ntemperature laser sintering of high temperature
materials on such a system. First results by\r\nchanging the exposure parameters
and by fixing parts on a building platform show a processing of\r\nPA12 on an
EOS P396 at a build chamber temperature less than 100 °C instead of standard approx.\r\n175
°C."
author:
- first_name: Dennis
full_name: Menge, Dennis
id: '29240'
last_name: Menge
- first_name: Hans-Joachim
full_name: Schmid, Hans-Joachim
id: '464'
last_name: Schmid
citation:
ama: 'Menge D, Schmid H-J. Low Temperature Laser Sintering on a Standard System:
First Attempts and Results with PA12. In: ; 2021.'
apa: 'Menge, D., & Schmid, H.-J. (2021). Low Temperature Laser Sintering
on a Standard System: First Attempts and Results with PA12. Solid Freeform
Fabrication Symposium, Austin, TX.'
bibtex: '@inproceedings{Menge_Schmid_2021, title={Low Temperature Laser Sintering
on a Standard System: First Attempts and Results with PA12}, author={Menge, Dennis
and Schmid, Hans-Joachim}, year={2021} }'
chicago: 'Menge, Dennis, and Hans-Joachim Schmid. “Low Temperature Laser Sintering
on a Standard System: First Attempts and Results with PA12,” 2021.'
ieee: 'D. Menge and H.-J. Schmid, “Low Temperature Laser Sintering on a Standard
System: First Attempts and Results with PA12,” presented at the Solid Freeform
Fabrication Symposium, Austin, TX, 2021.'
mla: 'Menge, Dennis, and Hans-Joachim Schmid. Low Temperature Laser Sintering
on a Standard System: First Attempts and Results with PA12. 2021.'
short: 'D. Menge, H.-J. Schmid, in: 2021.'
conference:
end_date: 2021-08-04
location: Austin, TX
name: Solid Freeform Fabrication Symposium
start_date: 2021-08-02
date_created: 2021-09-03T13:19:26Z
date_updated: 2022-01-06T06:55:59Z
department:
- _id: '150'
- _id: '219'
- _id: '624'
keyword:
- Low Temp LS
- Low Temperature Laser Sintering
- Polyamid 12
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://utw10945.utweb.utexas.edu/sites/default/files/2021/052%20Low%20Temperature%20Laser%20Sintering%20on%20a%20Standard%20Syst.pdf
oa: '1'
status: public
title: 'Low Temperature Laser Sintering on a Standard System: First Attempts and Results
with PA12'
type: conference
user_id: '29240'
year: '2021'
...
---
_id: '20592'
abstract:
- lang: eng
text: GaAs-(111)-nanostructures exhibiting second harmonic generation are new building
blocks in nonlinear optics. Such structures can be fabricated through epitaxial
lift-off using selective etching of Al-containing layers and subsequent transfer
to glass substrates. Herein, the selective etching of (111)B-oriented AlxGa1−xAs
sacrificial layers (10–50 nm thick) with different aluminum concentrations (x
= 0.5–1.0) in 10\% hydrofluoric acid is investigated and compared with standard
(100)-oriented structures. The thinner the sacrificial layer and the lower the
aluminum content, the lower the lateral etch rate. For both orientations, the
lateral etch rates are in the same order of magnitude, but some quantitative differences
exist. Furthermore, the epitaxial lift-off, the transfer, and the nanopatterning
of thin (111)B-oriented GaAs membranes are demonstrated. Atomic force microscopy
and high-resolution X-ray diffraction measurements reveal the high structural
quality of the transferred GaAs-(111) films.
article_type: original
author:
- first_name: Tobias
full_name: Henksmeier, Tobias
last_name: Henksmeier
- first_name: Martin
full_name: Eppinger, Martin
last_name: Eppinger
- first_name: Bernhard
full_name: Reineke, Bernhard
last_name: Reineke
- first_name: Thomas
full_name: Zentgraf, Thomas
id: '30525'
last_name: Zentgraf
orcid: 0000-0002-8662-1101
- first_name: Cedrik
full_name: Meier, Cedrik
id: '20798'
last_name: Meier
orcid: https://orcid.org/0000-0002-3787-3572
- first_name: Dirk
full_name: Reuter, Dirk
id: '37763'
last_name: Reuter
citation:
ama: Henksmeier T, Eppinger M, Reineke B, Zentgraf T, Meier C, Reuter D. Selective
Etching of (111)B-Oriented AlxGa1−xAs-Layers for Epitaxial Lift-Off. physica
status solidi (a). 2021;218(3):2000408. doi:https://doi.org/10.1002/pssa.202000408
apa: Henksmeier, T., Eppinger, M., Reineke, B., Zentgraf, T., Meier, C., & Reuter,
D. (2021). Selective Etching of (111)B-Oriented AlxGa1−xAs-Layers for Epitaxial
Lift-Off. Physica Status Solidi (A), 218(3), 2000408. https://doi.org/10.1002/pssa.202000408
bibtex: '@article{Henksmeier_Eppinger_Reineke_Zentgraf_Meier_Reuter_2021, title={Selective
Etching of (111)B-Oriented AlxGa1−xAs-Layers for Epitaxial Lift-Off}, volume={218},
DOI={https://doi.org/10.1002/pssa.202000408},
number={3}, journal={physica status solidi (a)}, author={Henksmeier, Tobias and
Eppinger, Martin and Reineke, Bernhard and Zentgraf, Thomas and Meier, Cedrik
and Reuter, Dirk}, year={2021}, pages={2000408} }'
chicago: 'Henksmeier, Tobias, Martin Eppinger, Bernhard Reineke, Thomas Zentgraf,
Cedrik Meier, and Dirk Reuter. “Selective Etching of (111)B-Oriented AlxGa1−xAs-Layers
for Epitaxial Lift-Off.” Physica Status Solidi (A) 218, no. 3 (2021): 2000408.
https://doi.org/10.1002/pssa.202000408.'
ieee: T. Henksmeier, M. Eppinger, B. Reineke, T. Zentgraf, C. Meier, and D. Reuter,
“Selective Etching of (111)B-Oriented AlxGa1−xAs-Layers for Epitaxial Lift-Off,”
physica status solidi (a), vol. 218, no. 3, p. 2000408, 2021.
mla: Henksmeier, Tobias, et al. “Selective Etching of (111)B-Oriented AlxGa1−xAs-Layers
for Epitaxial Lift-Off.” Physica Status Solidi (A), vol. 218, no. 3, 2021,
p. 2000408, doi:https://doi.org/10.1002/pssa.202000408.
short: T. Henksmeier, M. Eppinger, B. Reineke, T. Zentgraf, C. Meier, D. Reuter,
Physica Status Solidi (A) 218 (2021) 2000408.
date_created: 2020-12-02T09:50:10Z
date_updated: 2022-01-06T06:54:30Z
department:
- _id: '230'
- _id: '429'
doi: https://doi.org/10.1002/pssa.202000408
intvolume: ' 218'
issue: '3'
keyword:
- epitaxial lift-off
- GaAs/AlxGa1−xAs heterostructures
- selective etching
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://onlinelibrary.wiley.com/doi/full/10.1002/pssa.202000408
oa: '1'
page: '2000408'
project:
- _id: '53'
name: TRR 142
- _id: '54'
name: TRR 142 - Project Area A
- _id: '63'
name: TRR 142 - Subproject A6
- _id: '56'
name: TRR 142 - Project Area C
- _id: '75'
name: TRR 142 - Subproject C5
publication: physica status solidi (a)
publication_status: published
status: public
title: Selective Etching of (111)B-Oriented AlxGa1−xAs-Layers for Epitaxial Lift-Off
type: journal_article
user_id: '30525'
volume: 218
year: '2021'
...
---
_id: '20693'
abstract:
- lang: eng
text: "In practical, large-scale networks, services are requested\r\nby users across
the globe, e.g., for video streaming.\r\nServices consist of multiple interconnected
components such as\r\nmicroservices in a service mesh. Coordinating these services\r\nrequires
scaling them according to continuously changing user\r\ndemand, deploying instances
at the edge close to their users,\r\nand routing traffic efficiently between users
and connected instances.\r\nNetwork and service coordination is commonly addressed\r\nthrough
centralized approaches, where a single coordinator\r\nknows everything and coordinates
the entire network globally.\r\nWhile such centralized approaches can reach global
optima, they\r\ndo not scale to large, realistic networks. In contrast, distributed\r\napproaches
scale well, but sacrifice solution quality due to their\r\nlimited scope of knowledge
and coordination decisions.\r\n\r\nTo this end, we propose a hierarchical coordination
approach\r\nthat combines the good solution quality of centralized approaches\r\nwith
the scalability of distributed approaches. In doing so, we divide\r\nthe network
into multiple hierarchical domains and optimize\r\ncoordination in a top-down
manner. We compare our hierarchical\r\nwith a centralized approach in an extensive
evaluation on a real-world\r\nnetwork topology. Our results indicate that hierarchical\r\ncoordination
can find close-to-optimal solutions in a fraction of\r\nthe runtime of centralized
approaches."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Mirko
full_name: Jürgens, Mirko
last_name: Jürgens
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Jürgens M, Karl H. Divide and Conquer: Hierarchical Network
and Service Coordination. In: IFIP/IEEE International Symposium on Integrated
Network Management (IM). IFIP/IEEE; 2021.'
apa: 'Schneider, S. B., Jürgens, M., & Karl, H. (2021). Divide and Conquer:
Hierarchical Network and Service Coordination. In IFIP/IEEE International Symposium
on Integrated Network Management (IM). Bordeaux, France: IFIP/IEEE.'
bibtex: '@inproceedings{Schneider_Jürgens_Karl_2021, title={Divide and Conquer:
Hierarchical Network and Service Coordination}, booktitle={IFIP/IEEE International
Symposium on Integrated Network Management (IM)}, publisher={IFIP/IEEE}, author={Schneider,
Stefan Balthasar and Jürgens, Mirko and Karl, Holger}, year={2021} }'
chicago: 'Schneider, Stefan Balthasar, Mirko Jürgens, and Holger Karl. “Divide and
Conquer: Hierarchical Network and Service Coordination.” In IFIP/IEEE International
Symposium on Integrated Network Management (IM). IFIP/IEEE, 2021.'
ieee: 'S. B. Schneider, M. Jürgens, and H. Karl, “Divide and Conquer: Hierarchical
Network and Service Coordination,” in IFIP/IEEE International Symposium on
Integrated Network Management (IM), Bordeaux, France, 2021.'
mla: 'Schneider, Stefan Balthasar, et al. “Divide and Conquer: Hierarchical Network
and Service Coordination.” IFIP/IEEE International Symposium on Integrated
Network Management (IM), IFIP/IEEE, 2021.'
short: 'S.B. Schneider, M. Jürgens, H. Karl, in: IFIP/IEEE International Symposium
on Integrated Network Management (IM), IFIP/IEEE, 2021.'
conference:
location: Bordeaux, France
name: IFIP/IEEE International Symposium on Integrated Network Management (IM)
date_created: 2020-12-11T08:39:47Z
date_updated: 2022-01-06T06:54:32Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2020-12-11T08:37:37Z
date_updated: 2020-12-11T08:37:37Z
file_id: '20694'
file_name: preprint_with_header.pdf
file_size: 7979772
relation: main_file
title: 'Divide and Conquer: Hierarchical Network and Service Coordination'
file_date_updated: 2020-12-11T08:37:37Z
has_accepted_license: '1'
keyword:
- network management
- service management
- coordination
- hierarchical
- scalability
- nfv
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IFIP/IEEE International Symposium on Integrated Network Management (IM)
publisher: IFIP/IEEE
quality_controlled: '1'
status: public
title: 'Divide and Conquer: Hierarchical Network and Service Coordination'
type: conference
user_id: '35343'
year: '2021'
...
---
_id: '22155'
author:
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
citation:
ama: 'Gottschalk S. Situation-specific Development of Business Models for Services
in Software Ecosystems. In: Advanced Software Engineering. Doctorial Consortium.
CEUR; 2021.'
apa: Gottschalk, S. (2021). Situation-specific Development of Business Models for
Services in Software Ecosystems. In Advanced Software Engineering. Doctorial
Consortium. CEUR.
bibtex: '@inproceedings{Gottschalk_2021, title={Situation-specific Development of
Business Models for Services in Software Ecosystems}, booktitle={Advanced Software
Engineering. Doctorial Consortium}, publisher={CEUR}, author={Gottschalk, Sebastian},
year={2021} }'
chicago: Gottschalk, Sebastian. “Situation-Specific Development of Business Models
for Services in Software Ecosystems.” In Advanced Software Engineering. Doctorial
Consortium. CEUR, 2021.
ieee: S. Gottschalk, “Situation-specific Development of Business Models for Services
in Software Ecosystems,” in Advanced Software Engineering. Doctorial Consortium,
2021.
mla: Gottschalk, Sebastian. “Situation-Specific Development of Business Models for
Services in Software Ecosystems.” Advanced Software Engineering. Doctorial
Consortium, CEUR, 2021.
short: 'S. Gottschalk, in: Advanced Software Engineering. Doctorial Consortium,
CEUR, 2021.'
date_created: 2021-05-11T12:46:07Z
date_updated: 2022-01-06T06:55:28Z
ddc:
- '000'
department:
- _id: '66'
- _id: '534'
file:
- access_level: open_access
content_type: application/pdf
creator: sego
date_created: 2021-07-20T16:16:05Z
date_updated: 2021-07-20T16:16:05Z
file_id: '22767'
file_name: CAISEDC21.pdf
file_size: 278027
relation: main_file
file_date_updated: 2021-07-20T16:16:05Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
publication: Advanced Software Engineering. Doctorial Consortium
publisher: CEUR
status: public
title: Situation-specific Development of Business Models for Services in Software
Ecosystems
type: conference
user_id: '47208'
year: '2021'
...
---
_id: '22156'
abstract:
- lang: eng
text: Word embedding models reflect bias towards genders, ethnicities, and other
social groups present in the underlying training data. Metrics such as ECT, RNSB,
and WEAT quantify bias in these models based on predefined word lists representing
social groups and bias-conveying concepts. How suitable these lists actually are
to reveal bias - let alone the bias metrics in general - remains unclear, though.
In this paper, we study how to assess the quality of bias metrics for word embedding
models. In particular, we present a generic method, Bias Silhouette Analysis (BSA),
that quantifies the accuracy and robustness of such a metric and of the word lists
used. Given a biased and an unbiased reference embedding model, BSA applies the
metric systematically for several subsets of the lists to the models. The variance
and rate of convergence of the bias values of each model then entail the robustness
of the word lists, whereas the distance between the models' values gives indications
of the general accuracy of the metric with the word lists. We demonstrate the
behavior of BSA on two standard embedding models for the three mentioned metrics
with several word lists from existing research.
author:
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the
Quality of Bias Metrics for Word Embedding Models. In: Proceedings of the Thirtieth
International Joint Conference on Artificial Intelligence, IJCAI-21. ; 2021:552-559.
doi:10.24963/ijcai.2021/77'
apa: 'Spliethöver, M., & Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards
Assessing the Quality of Bias Metrics for Word Embedding Models. Proceedings
of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21,
552–559. https://doi.org/10.24963/ijcai.2021/77'
bibtex: '@inproceedings{Spliethöver_Wachsmuth_2021, title={Bias Silhouette Analysis:
Towards Assessing the Quality of Bias Metrics for Word Embedding Models}, DOI={10.24963/ijcai.2021/77}, booktitle={Proceedings
of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21},
author={Spliethöver, Maximilian and Wachsmuth, Henning}, year={2021}, pages={552–559}
}'
chicago: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis:
Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” In Proceedings
of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21,
552–59, 2021. https://doi.org/10.24963/ijcai.2021/77.'
ieee: 'M. Spliethöver and H. Wachsmuth, “Bias Silhouette Analysis: Towards Assessing
the Quality of Bias Metrics for Word Embedding Models,” in Proceedings of the
Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21,
Online, 2021, pp. 552–559, doi: 10.24963/ijcai.2021/77.'
mla: 'Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis:
Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” Proceedings
of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21,
2021, pp. 552–59, doi:10.24963/ijcai.2021/77.'
short: 'M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International
Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.'
conference:
end_date: 2021-08-26
location: Online
name: 30th International Joint Conference on Artificial Intelligence (IJCAI-21)
start_date: 2021-08-19
date_created: 2021-05-11T23:13:26Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
doi: 10.24963/ijcai.2021/77
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ijcai.org/proceedings/2021/77
oa: '1'
page: 552-559
publication: Proceedings of the Thirtieth International Joint Conference on Artificial
Intelligence, IJCAI-21
quality_controlled: '1'
status: public
title: 'Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for
Word Embedding Models'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22158'
author:
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative
Conclusions for Argumentative Texts. In: Proceedings of the Joint Conference
of the 59th Annual Meeting of the Association for Computational Linguistics and
the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
2021): Findings. ; 2021:3482-3493.'
apa: 'Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., & Potthast, M.
(2021). Generating Informative Conclusions for Argumentative Texts. Proceedings
of the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021): Findings, 3482–3493.'
bibtex: '@inproceedings{Syed_Al-Khatib_Alshomary_Wachsmuth_Potthast_2021, title={Generating
Informative Conclusions for Argumentative Texts}, booktitle={Proceedings of the
Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021): Findings}, author={Syed, Shahbaz and Al-Khatib, Khalid and
Alshomary, Milad and Wachsmuth, Henning and Potthast, Martin}, year={2021}, pages={3482–3493}
}'
chicago: 'Syed, Shahbaz, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and
Martin Potthast. “Generating Informative Conclusions for Argumentative Texts.”
In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
for Computational Linguistics and the 11th International Joint Conference on Natural
Language Processing (ACL-IJCNLP 2021): Findings, 3482–93, 2021.'
ieee: 'S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, and M. Potthast, “Generating
Informative Conclusions for Argumentative Texts,” in Proceedings of the Joint
Conference of the 59th Annual Meeting of the Association for Computational Linguistics
and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
2021): Findings, 2021, pp. 3482–3493.'
mla: 'Syed, Shahbaz, et al. “Generating Informative Conclusions for Argumentative
Texts.” Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021): Findings, 2021, pp. 3482–93.'
short: 'S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, M. Potthast, in: Proceedings
of the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021): Findings, 2021, pp. 3482–3493.'
date_created: 2021-05-11T23:18:14Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2021.findings-acl.306.pdf
oa: '1'
page: 3482-3493
publication: 'Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021): Findings'
status: public
title: Generating Informative Conclusions for Argumentative Texts
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22159'
author:
- first_name: Joe
full_name: Barrow, Joe
last_name: Barrow
- first_name: Rajiv
full_name: Jain, Rajiv
last_name: Jain
- first_name: Nedim
full_name: Lipka, Nedim
last_name: Lipka
- first_name: Franck
full_name: Dernoncourt, Franck
last_name: Dernoncourt
- first_name: Vlad
full_name: Morariu, Vlad
last_name: Morariu
- first_name: Varun
full_name: Manjunatha, Varun
last_name: Manjunatha
- first_name: Douglas
full_name: Oard, Douglas
last_name: Oard
- first_name: Philip
full_name: Resnik, Philip
last_name: Resnik
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Barrow J, Jain R, Lipka N, et al. Syntopical Graphs for Computational Argumentation
Tasks. In: Proceedings of the Joint Conference of the 59th Annual Meeting of
the Association for Computational Linguistics and the 11th International Joint
Conference on Natural Language Processing (ACL-IJCNLP 2021). ; 2021:1583-1595.'
apa: Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha,
V., Oard, D., Resnik, P., & Wachsmuth, H. (2021). Syntopical Graphs for Computational
Argumentation Tasks. Proceedings of the Joint Conference of the 59th Annual
Meeting of the Association for Computational Linguistics and the 11th International
Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1583–1595.
bibtex: '@inproceedings{Barrow_Jain_Lipka_Dernoncourt_Morariu_Manjunatha_Oard_Resnik_Wachsmuth_2021,
title={Syntopical Graphs for Computational Argumentation Tasks}, booktitle={Proceedings
of the Joint Conference of the 59th Annual Meeting of the Association for Computational
Linguistics and the 11th International Joint Conference on Natural Language Processing
(ACL-IJCNLP 2021)}, author={Barrow, Joe and Jain, Rajiv and Lipka, Nedim and Dernoncourt,
Franck and Morariu, Vlad and Manjunatha, Varun and Oard, Douglas and Resnik, Philip
and Wachsmuth, Henning}, year={2021}, pages={1583–1595} }'
chicago: Barrow, Joe, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu,
Varun Manjunatha, Douglas Oard, Philip Resnik, and Henning Wachsmuth. “Syntopical
Graphs for Computational Argumentation Tasks.” In Proceedings of the Joint
Conference of the 59th Annual Meeting of the Association for Computational Linguistics
and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP
2021), 1583–95, 2021.
ieee: J. Barrow et al., “Syntopical Graphs for Computational Argumentation
Tasks,” in Proceedings of the Joint Conference of the 59th Annual Meeting of
the Association for Computational Linguistics and the 11th International Joint
Conference on Natural Language Processing (ACL-IJCNLP 2021), 2021, pp. 1583–1595.
mla: Barrow, Joe, et al. “Syntopical Graphs for Computational Argumentation Tasks.”
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association
for Computational Linguistics and the 11th International Joint Conference on Natural
Language Processing (ACL-IJCNLP 2021), 2021, pp. 1583–95.
short: 'J. Barrow, R. Jain, N. Lipka, F. Dernoncourt, V. Morariu, V. Manjunatha,
D. Oard, P. Resnik, H. Wachsmuth, in: Proceedings of the Joint Conference of the
59th Annual Meeting of the Association for Computational Linguistics and the 11th
International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),
2021, pp. 1583–1595.'
date_created: 2021-05-11T23:20:59Z
date_updated: 2022-01-06T06:55:28Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2021.acl-long.126.pdf
oa: '1'
page: 1583-1595
publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the
Association for Computational Linguistics and the 11th International Joint Conference
on Natural Language Processing (ACL-IJCNLP 2021)
status: public
title: Syntopical Graphs for Computational Argumentation Tasks
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '22304'
author:
- first_name: Stefan
full_name: Schott, Stefan
id: '54847'
last_name: Schott
citation:
ama: Schott S. Android App Analysis Benchmark Case Generation. Paderborn;
2021.
apa: Schott, S. (2021). Android App Analysis Benchmark Case Generation. Paderborn.
bibtex: '@book{Schott_2021, place={Paderborn}, title={Android App Analysis Benchmark
Case Generation}, author={Schott, Stefan}, year={2021} }'
chicago: Schott, Stefan. Android App Analysis Benchmark Case Generation.
Paderborn, 2021.
ieee: S. Schott, Android App Analysis Benchmark Case Generation. Paderborn,
2021.
mla: Schott, Stefan. Android App Analysis Benchmark Case Generation. 2021.
short: S. Schott, Android App Analysis Benchmark Case Generation, Paderborn, 2021.
date_created: 2021-06-09T06:04:12Z
date_updated: 2022-01-06T06:55:31Z
ddc:
- '000'
department:
- _id: '77'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: fpauck
date_created: 2021-06-09T06:01:45Z
date_updated: 2021-06-09T06:01:45Z
file_id: '22305'
file_name: Masters_Thesis_Stefan_Schott_unsigned.pdf
file_size: 1918444
relation: main_file
file_date_updated: 2021-06-09T06:01:45Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Paderborn
project:
- _id: '1'
name: SFB 901
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '3'
name: SFB 901 - Project Area B
status: public
supervisor:
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
title: Android App Analysis Benchmark Case Generation
type: mastersthesis
user_id: '477'
year: '2021'
...
---
_id: '22450'
abstract:
- lang: eng
text: We realize and investigate a nonlinear metasurface taking advantage of intersubband
transitions in ultranarrow GaN/AlN multi-quantum well heterostructures. Owing
to huge band offsets, the structures offer resonant transitions in the telecom
window around 1.55 µm. These heterostructures are functionalized with an array
of plasmonic antennas featuring cross-polarized resonances at these near-infrared
wavelengths and their second harmonic. This kind of nonlinear metasurface allows
for substantial second-harmonic generation at normal incidence which is completely
absent for an antenna array without the multi-quantum well structure underneath.
While the second harmonic is originally radiated only into the plane of the quantum
wells, a proper geometrical arrangement of the plasmonic elements permits the
redirection of the second-harmonic light to free-space radiation, which is emitted
perpendicular to the surface.
article_number: '2134'
article_type: original
author:
- first_name: Jan
full_name: Mundry, Jan
last_name: Mundry
- first_name: Florian
full_name: Spreyer, Florian
last_name: Spreyer
- first_name: Valentin
full_name: Jmerik, Valentin
last_name: Jmerik
- first_name: Sergey
full_name: Ivanov, Sergey
last_name: Ivanov
- first_name: Thomas
full_name: Zentgraf, Thomas
id: '30525'
last_name: Zentgraf
orcid: 0000-0002-8662-1101
- first_name: Markus
full_name: Betz, Markus
last_name: Betz
citation:
ama: Mundry J, Spreyer F, Jmerik V, Ivanov S, Zentgraf T, Betz M. Nonlinear metasurface
combining telecom-range intersubband transitions in GaN/AlN quantum wells with
resonant plasmonic antenna arrays. Optical Materials Express. 2021;11(7).
doi:10.1364/ome.426236
apa: Mundry, J., Spreyer, F., Jmerik, V., Ivanov, S., Zentgraf, T., & Betz,
M. (2021). Nonlinear metasurface combining telecom-range intersubband transitions
in GaN/AlN quantum wells with resonant plasmonic antenna arrays. Optical Materials
Express, 11(7). https://doi.org/10.1364/ome.426236
bibtex: '@article{Mundry_Spreyer_Jmerik_Ivanov_Zentgraf_Betz_2021, title={Nonlinear
metasurface combining telecom-range intersubband transitions in GaN/AlN quantum
wells with resonant plasmonic antenna arrays}, volume={11}, DOI={10.1364/ome.426236},
number={72134}, journal={Optical Materials Express}, publisher={OSA}, author={Mundry,
Jan and Spreyer, Florian and Jmerik, Valentin and Ivanov, Sergey and Zentgraf,
Thomas and Betz, Markus}, year={2021} }'
chicago: Mundry, Jan, Florian Spreyer, Valentin Jmerik, Sergey Ivanov, Thomas Zentgraf,
and Markus Betz. “Nonlinear Metasurface Combining Telecom-Range Intersubband Transitions
in GaN/AlN Quantum Wells with Resonant Plasmonic Antenna Arrays.” Optical Materials
Express 11, no. 7 (2021). https://doi.org/10.1364/ome.426236.
ieee: J. Mundry, F. Spreyer, V. Jmerik, S. Ivanov, T. Zentgraf, and M. Betz, “Nonlinear
metasurface combining telecom-range intersubband transitions in GaN/AlN quantum
wells with resonant plasmonic antenna arrays,” Optical Materials Express,
vol. 11, no. 7, 2021.
mla: Mundry, Jan, et al. “Nonlinear Metasurface Combining Telecom-Range Intersubband
Transitions in GaN/AlN Quantum Wells with Resonant Plasmonic Antenna Arrays.”
Optical Materials Express, vol. 11, no. 7, 2134, OSA, 2021, doi:10.1364/ome.426236.
short: J. Mundry, F. Spreyer, V. Jmerik, S. Ivanov, T. Zentgraf, M. Betz, Optical
Materials Express 11 (2021).
date_created: 2021-06-16T05:52:21Z
date_updated: 2022-01-06T06:55:33Z
department:
- _id: '15'
- _id: '230'
- _id: '289'
- _id: '429'
doi: 10.1364/ome.426236
intvolume: ' 11'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.osapublishing.org/ome/fulltext.cfm?uri=ome-11-7-2134&id=452008
oa: '1'
project:
- _id: '53'
name: TRR 142
- _id: '54'
name: TRR 142 - Project Area A
- _id: '65'
name: TRR 142 - Subproject A8
publication: Optical Materials Express
publication_identifier:
issn:
- 2159-3930
publication_status: published
publisher: OSA
quality_controlled: '1'
status: public
title: Nonlinear metasurface combining telecom-range intersubband transitions in GaN/AlN
quantum wells with resonant plasmonic antenna arrays
type: journal_article
user_id: '30525'
volume: 11
year: '2021'
...
---
_id: '22509'
abstract:
- lang: eng
text: Self-training is an effective approach to semi-supervised learning. The key
idea is to let the learner itself iteratively generate "pseudo-supervision" for
unlabeled instances based on its current hypothesis. In combination with consistency
regularization, pseudo-labeling has shown promising performance in various domains,
for example in computer vision. To account for the hypothetical nature of the
pseudo-labels, these are commonly provided in the form of probability distributions.
Still, one may argue that even a probability distribution represents an excessive
level of informedness, as it suggests that the learner precisely knows the ground-truth
conditional probabilities. In our approach, we therefore allow the learner to
label instances in the form of credal sets, that is, sets of (candidate) probability
distributions. Thanks to this increased expressiveness, the learner is able to
represent uncertainty and a lack of knowledge in a more flexible and more faithful
manner. To learn from weakly labeled data of that kind, we leverage methods that
have recently been proposed in the realm of so-called superset learning. In an
exhaustive empirical evaluation, we compare our methodology to state-of-the-art
self-supervision approaches, showing competitive to superior performance especially
in low-label scenarios incorporating a high degree of uncertainty.
author:
- first_name: Julian
full_name: Lienen, Julian
id: '44040'
last_name: Lienen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Lienen J, Hüllermeier E. Credal Self-Supervised Learning. arXiv:210611853.
2021.
apa: Lienen, J., & Hüllermeier, E. (2021). Credal Self-Supervised Learning.
ArXiv:2106.11853.
bibtex: '@article{Lienen_Hüllermeier_2021, title={Credal Self-Supervised Learning},
journal={arXiv:2106.11853}, author={Lienen, Julian and Hüllermeier, Eyke}, year={2021}
}'
chicago: Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.”
ArXiv:2106.11853, 2021.
ieee: J. Lienen and E. Hüllermeier, “Credal Self-Supervised Learning,” arXiv:2106.11853.
2021.
mla: Lienen, Julian, and Eyke Hüllermeier. “Credal Self-Supervised Learning.” ArXiv:2106.11853,
2021.
short: J. Lienen, E. Hüllermeier, ArXiv:2106.11853 (2021).
date_created: 2021-06-23T07:24:38Z
date_updated: 2022-01-06T06:55:35Z
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2106.11853.pdf
oa: '1'
publication: arXiv:2106.11853
status: public
title: Credal Self-Supervised Learning
type: preprint
user_id: '44040'
year: '2021'
...
---
_id: '22514'
author:
- first_name: Jan-Peter
full_name: Kucklick, Jan-Peter
id: '77066'
last_name: Kucklick
- first_name: Jennifer
full_name: Müller, Jennifer
id: '82872'
last_name: Müller
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Kucklick J-P, Müller J, Beverungen D, Müller O. Quantifying the Impact of
Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach.
In: European Conference on Information Systems. ; 2021.'
apa: Kucklick, J.-P., Müller, J., Beverungen, D., & Müller, O. (2021). Quantifying
the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning
Approach. In European Conference on Information Systems. Virtual.
bibtex: '@inproceedings{Kucklick_Müller_Beverungen_Müller_2021, title={Quantifying
the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning
Approach}, booktitle={European Conference on Information Systems}, author={Kucklick,
Jan-Peter and Müller, Jennifer and Beverungen, Daniel and Müller, Oliver}, year={2021}
}'
chicago: Kucklick, Jan-Peter, Jennifer Müller, Daniel Beverungen, and Oliver Müller.
“Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-Based
Deep Learning Approach.” In European Conference on Information Systems,
2021.
ieee: J.-P. Kucklick, J. Müller, D. Beverungen, and O. Müller, “Quantifying the
Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning
Approach,” in European Conference on Information Systems, Virtual, 2021.
mla: Kucklick, Jan-Peter, et al. “Quantifying the Impact of Location Data for Real
Estate Appraisal – A GIS-Based Deep Learning Approach.” European Conference
on Information Systems, 2021.
short: 'J.-P. Kucklick, J. Müller, D. Beverungen, O. Müller, in: European Conference
on Information Systems, 2021.'
conference:
end_date: 2021-06-16
location: Virtual
name: ECIS 2021 - 29th European Conference on Information System
start_date: 2021-06-14
date_created: 2021-06-28T11:30:02Z
date_updated: 2022-01-06T06:55:35Z
department:
- _id: '196'
- _id: '526'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1022&context=ecis2021_rip
oa: '1'
publication: European Conference on Information Systems
status: public
title: Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based
Deep Learning Approach
type: conference
user_id: '71922'
year: '2021'
...