---
_id: '53817'
author:
- first_name: Sebastian
full_name: Krois, Sebastian
last_name: Krois
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
citation:
ama: 'Krois S, Yigitbas E. Prototyping Cross-Reality Escape Rooms. In: Proceedings
of the 10th International Working Conference on Human-Centered Software Engineering
(HCSE’24). ; 2024.'
apa: Krois, S., & Yigitbas, E. (2024). Prototyping Cross-Reality Escape Rooms.
Proceedings of the 10th International Working Conference on Human-Centered
Software Engineering (HCSE’24).
bibtex: '@inproceedings{Krois_Yigitbas_2024, title={Prototyping Cross-Reality Escape
Rooms}, booktitle={Proceedings of the 10th International Working Conference on
Human-Centered Software Engineering (HCSE’24)}, author={Krois, Sebastian and Yigitbas,
Enes}, year={2024} }'
chicago: Krois, Sebastian, and Enes Yigitbas. “Prototyping Cross-Reality Escape
Rooms.” In Proceedings of the 10th International Working Conference on Human-Centered
Software Engineering (HCSE’24), 2024.
ieee: S. Krois and E. Yigitbas, “Prototyping Cross-Reality Escape Rooms,” 2024.
mla: Krois, Sebastian, and Enes Yigitbas. “Prototyping Cross-Reality Escape Rooms.”
Proceedings of the 10th International Working Conference on Human-Centered
Software Engineering (HCSE’24), 2024.
short: 'S. Krois, E. Yigitbas, in: Proceedings of the 10th International Working
Conference on Human-Centered Software Engineering (HCSE’24), 2024.'
date_created: 2024-05-02T10:29:58Z
date_updated: 2024-05-02T10:30:23Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: Proceedings of the 10th International Working Conference on Human-Centered
Software Engineering (HCSE'24)
status: public
title: Prototyping Cross-Reality Escape Rooms
type: conference
user_id: '8447'
year: '2024'
...
---
_id: '53819'
author:
- first_name: Sarah Claudia
full_name: Krings, Sarah Claudia
id: '64063'
last_name: Krings
orcid: 0000-0001-8040-7553
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Stefan
full_name: Sauer, Stefan
id: '447'
last_name: Sauer
orcid: 0000-0003-3084-0409
citation:
ama: 'Krings SC, Yigitbas E, Sauer S. Developing a VR Factory Walkthrough for Use
in Schools. In: Proceedings of the 10th International Working Conference on
Human-Centered Software Engineering (HCSE’24). ; 2024.'
apa: Krings, S. C., Yigitbas, E., & Sauer, S. (2024). Developing a VR Factory
Walkthrough for Use in Schools. Proceedings of the 10th International Working
Conference on Human-Centered Software Engineering (HCSE’24).
bibtex: '@inproceedings{Krings_Yigitbas_Sauer_2024, title={Developing a VR Factory
Walkthrough for Use in Schools}, booktitle={Proceedings of the 10th International
Working Conference on Human-Centered Software Engineering (HCSE’24)}, author={Krings,
Sarah Claudia and Yigitbas, Enes and Sauer, Stefan}, year={2024} }'
chicago: Krings, Sarah Claudia, Enes Yigitbas, and Stefan Sauer. “Developing a VR
Factory Walkthrough for Use in Schools.” In Proceedings of the 10th International
Working Conference on Human-Centered Software Engineering (HCSE’24), 2024.
ieee: S. C. Krings, E. Yigitbas, and S. Sauer, “Developing a VR Factory Walkthrough
for Use in Schools,” 2024.
mla: Krings, Sarah Claudia, et al. “Developing a VR Factory Walkthrough for Use
in Schools.” Proceedings of the 10th International Working Conference on Human-Centered
Software Engineering (HCSE’24), 2024.
short: 'S.C. Krings, E. Yigitbas, S. Sauer, in: Proceedings of the 10th International
Working Conference on Human-Centered Software Engineering (HCSE’24), 2024.'
date_created: 2024-05-02T10:33:29Z
date_updated: 2024-05-03T13:38:50Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: Proceedings of the 10th International Working Conference on Human-Centered
Software Engineering (HCSE'24)
status: public
title: Developing a VR Factory Walkthrough for Use in Schools
type: conference
user_id: '8447'
year: '2024'
...
---
_id: '53858'
author:
- first_name: Junaid
full_name: Akhter, Junaid
id: '97994'
last_name: Akhter
- first_name: Paul David
full_name: Fährmann, Paul David
last_name: Fährmann
- first_name: Konstantin
full_name: Sonntag, Konstantin
id: '56399'
last_name: Sonntag
orcid: https://orcid.org/0000-0003-3384-3496
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Akhter J, Fährmann PD, Sonntag K, Peitz S. Common pitfalls to avoid while using
multiobjective optimization in machine learning. arXiv. Published online
2024.
apa: Akhter, J., Fährmann, P. D., Sonntag, K., & Peitz, S. (2024). Common pitfalls
to avoid while using multiobjective optimization in machine learning. In arXiv.
bibtex: '@article{Akhter_Fährmann_Sonntag_Peitz_2024, title={Common pitfalls to
avoid while using multiobjective optimization in machine learning}, journal={arXiv},
author={Akhter, Junaid and Fährmann, Paul David and Sonntag, Konstantin and Peitz,
Sebastian}, year={2024} }'
chicago: Akhter, Junaid, Paul David Fährmann, Konstantin Sonntag, and Sebastian
Peitz. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine
Learning.” ArXiv, 2024.
ieee: J. Akhter, P. D. Fährmann, K. Sonntag, and S. Peitz, “Common pitfalls to avoid
while using multiobjective optimization in machine learning,” arXiv. 2024.
mla: Akhter, Junaid, et al. “Common Pitfalls to Avoid While Using Multiobjective
Optimization in Machine Learning.” ArXiv, 2024.
short: J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, ArXiv (2024).
date_created: 2024-05-03T13:38:34Z
date_updated: 2024-05-06T08:29:38Z
department:
- _id: '655'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2405.01480
oa: '1'
publication: arXiv
status: public
title: Common pitfalls to avoid while using multiobjective optimization in machine
learning
type: preprint
user_id: '47427'
year: '2024'
...
---
_id: '53938'
abstract:
- lang: eng
text: Previous work has shown that one can often greatly speed up static analysis
by computing data flows not for every edge in the program’s control-flow graph
but instead only along definition-use chains. This yields a so-called sparse static
analysis. Recent work on SparseDroid has shown that specifically taint analysis
can be “sparsified” with extraordinary effectiveness because the taint state of
one variable does not depend on those of others. This allows one to soundly omit
more flow-function computations than in the general case. In this work, we now
assess whether this result carries over to the more generic setting of so-called
Interprocedural Distributive Environment (IDE) problems. Opposed to taint analysis,
IDE comprises distributive problems with large or even infinitely broad domains,
such as typestate analysis or linear constant propagation. Specifically, this
paper presents Sparse IDE, a framework that realizes sparsification for any static
analysis that fits the IDE framework. We implement Sparse IDE in SparseHeros,
as an extension to the popular Heros IDE solver, and evaluate its performance
on real-world Java libraries by comparing it to the baseline IDE algorithm. To
this end, we design, implement and evaluate a linear constant propagation analysis
client on top of SparseHeros. Our experiments show that, although IDE analyses
can only be sparsified with respect to symbols and not (numeric) values, Sparse
IDE can nonetheless yield significantly lower runtimes and often also memory consumptions
compared to the original IDE.
author:
- first_name: Kadiray
full_name: Karakaya, Kadiray
id: '70410'
last_name: Karakaya
orcid: https://orcid.org/0000-0001-9266-2084
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Karakaya K, Bodden E. Symbol-Specific Sparsification of Interprocedural Distributive
Environment Problems. In: Proceedings of the IEEE/ACM 46th International Conference
on Software Engineering. ACM; 2024. doi:10.1145/3597503.3639092'
apa: Karakaya, K., & Bodden, E. (2024). Symbol-Specific Sparsification of Interprocedural
Distributive Environment Problems. Proceedings of the IEEE/ACM 46th International
Conference on Software Engineering. https://doi.org/10.1145/3597503.3639092
bibtex: '@inproceedings{Karakaya_Bodden_2024, title={Symbol-Specific Sparsification
of Interprocedural Distributive Environment Problems}, DOI={10.1145/3597503.3639092},
booktitle={Proceedings of the IEEE/ACM 46th International Conference on Software
Engineering}, publisher={ACM}, author={Karakaya, Kadiray and Bodden, Eric}, year={2024}
}'
chicago: Karakaya, Kadiray, and Eric Bodden. “Symbol-Specific Sparsification of
Interprocedural Distributive Environment Problems.” In Proceedings of the IEEE/ACM
46th International Conference on Software Engineering. ACM, 2024. https://doi.org/10.1145/3597503.3639092.
ieee: 'K. Karakaya and E. Bodden, “Symbol-Specific Sparsification of Interprocedural
Distributive Environment Problems,” 2024, doi: 10.1145/3597503.3639092.'
mla: Karakaya, Kadiray, and Eric Bodden. “Symbol-Specific Sparsification of Interprocedural
Distributive Environment Problems.” Proceedings of the IEEE/ACM 46th International
Conference on Software Engineering, ACM, 2024, doi:10.1145/3597503.3639092.
short: 'K. Karakaya, E. Bodden, in: Proceedings of the IEEE/ACM 46th International
Conference on Software Engineering, ACM, 2024.'
date_created: 2024-05-06T11:20:21Z
date_updated: 2024-05-06T11:23:06Z
department:
- _id: '76'
doi: 10.1145/3597503.3639092
language:
- iso: eng
publication: Proceedings of the IEEE/ACM 46th International Conference on Software
Engineering
publication_status: published
publisher: ACM
status: public
title: Symbol-Specific Sparsification of Interprocedural Distributive Environment
Problems
type: conference
user_id: '15249'
year: '2024'
...
---
_id: '53958'
abstract:
- lang: eng
text: "To detect security vulnerabilities, static analysis tools need to be configured
with security-relevant methods. Current approaches can automatically identify
such methods using binary relevance machine learning approaches. However, they
ignore dependencies among security-relevant methods, over-generalize and perform
poorly in practice. Additionally, users have to nevertheless manually configure
static analysis tools using the detected methods. Based on feedback from users
and our observations, the excessive manual steps can often be tedious, error-prone
and counter-intuitive.\r\n In this paper, we present Dev-Assist, an IntelliJ IDEA
plugin that detects security-relevant methods using a multi-label machine learning
approach that considers dependencies among labels. The plugin can automatically
generate configurations for static analysis tools, run the static analysis, and
show the results in IntelliJ IDEA. Our experiments reveal that Dev-Assist's machine
learning approach has a higher F1-Measure than related approaches. Moreover, the
plugin reduces and simplifies the manual effort required when configuring and
using static analysis tools."
author:
- first_name: Oshando
full_name: Johnson, Oshando
id: '66583'
last_name: Johnson
- first_name: Goran
full_name: Piskachev, Goran
id: '41936'
last_name: Piskachev
orcid: 0000-0003-4424-5838
- first_name: Ranjith
full_name: Krishnamurthy, Ranjith
id: '78060'
last_name: Krishnamurthy
orcid: 0000-0002-0906-5463
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Johnson O, Piskachev G, Krishnamurthy R, Bodden E. Detecting Security-Relevant
Methods using Multi-label Machine Learning. In: Proceedings of the 46th International
Conference on Software Engineering, IDE Workshop. ; 2024. doi:10.48550/ARXIV.2403.07501'
apa: Johnson, O., Piskachev, G., Krishnamurthy, R., & Bodden, E. (2024). Detecting
Security-Relevant Methods using Multi-label Machine Learning. Proceedings of
the 46th International Conference on Software Engineering, IDE Workshop. https://doi.org/10.48550/ARXIV.2403.07501
bibtex: '@inproceedings{Johnson_Piskachev_Krishnamurthy_Bodden_2024, title={Detecting
Security-Relevant Methods using Multi-label Machine Learning}, DOI={10.48550/ARXIV.2403.07501},
booktitle={Proceedings of the 46th International Conference on Software Engineering,
IDE Workshop}, author={Johnson, Oshando and Piskachev, Goran and Krishnamurthy,
Ranjith and Bodden, Eric}, year={2024} }'
chicago: Johnson, Oshando, Goran Piskachev, Ranjith Krishnamurthy, and Eric Bodden.
“Detecting Security-Relevant Methods Using Multi-Label Machine Learning.” In Proceedings
of the 46th International Conference on Software Engineering, IDE Workshop,
2024. https://doi.org/10.48550/ARXIV.2403.07501.
ieee: 'O. Johnson, G. Piskachev, R. Krishnamurthy, and E. Bodden, “Detecting Security-Relevant
Methods using Multi-label Machine Learning,” 2024, doi: 10.48550/ARXIV.2403.07501.'
mla: Johnson, Oshando, et al. “Detecting Security-Relevant Methods Using Multi-Label
Machine Learning.” Proceedings of the 46th International Conference on Software
Engineering, IDE Workshop, 2024, doi:10.48550/ARXIV.2403.07501.
short: 'O. Johnson, G. Piskachev, R. Krishnamurthy, E. Bodden, in: Proceedings of
the 46th International Conference on Software Engineering, IDE Workshop, 2024.'
date_created: 2024-05-06T11:43:19Z
date_updated: 2024-05-06T11:47:14Z
department:
- _id: '76'
- _id: '662'
doi: 10.48550/ARXIV.2403.07501
language:
- iso: eng
publication: Proceedings of the 46th International Conference on Software Engineering,
IDE Workshop
status: public
title: Detecting Security-Relevant Methods using Multi-label Machine Learning
type: conference
user_id: '15249'
year: '2024'
...
---
_id: '54283'
alternative_title:
- Strategien, Methoden, Umsetzungsbeispiele
citation:
ama: Beverungen D, Dumitrescu R, Kühn A, Plass C, eds. Digitale Plattformen Im
Industriellen Mittelstand. Springer Berlin Heidelberg; 2024. doi:10.1007/978-3-662-68116-9
apa: Beverungen, D., Dumitrescu, R., Kühn, A., & Plass, C. (Eds.). (2024). Digitale
Plattformen im industriellen Mittelstand. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-68116-9
bibtex: '@book{Beverungen_Dumitrescu_Kühn_Plass_2024, place={Berlin, Heidelberg},
title={Digitale Plattformen im industriellen Mittelstand}, DOI={10.1007/978-3-662-68116-9},
publisher={Springer Berlin Heidelberg}, year={2024} }'
chicago: 'Beverungen, Daniel, Roman Dumitrescu, Arno Kühn, and Christoph Plass,
eds. Digitale Plattformen Im Industriellen Mittelstand. Berlin, Heidelberg:
Springer Berlin Heidelberg, 2024. https://doi.org/10.1007/978-3-662-68116-9.'
ieee: 'D. Beverungen, R. Dumitrescu, A. Kühn, and C. Plass, Eds., Digitale Plattformen
im industriellen Mittelstand. Berlin, Heidelberg: Springer Berlin Heidelberg,
2024.'
mla: Beverungen, Daniel, et al., editors. Digitale Plattformen Im Industriellen
Mittelstand. Springer Berlin Heidelberg, 2024, doi:10.1007/978-3-662-68116-9.
short: D. Beverungen, R. Dumitrescu, A. Kühn, C. Plass, eds., Digitale Plattformen
Im Industriellen Mittelstand, Springer Berlin Heidelberg, Berlin, Heidelberg,
2024.
date_created: 2024-05-14T10:00:13Z
date_updated: 2024-05-14T10:00:52Z
department:
- _id: '563'
doi: 10.1007/978-3-662-68116-9
editor:
- first_name: Daniel
full_name: Beverungen, Daniel
last_name: Beverungen
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Christoph
full_name: Plass, Christoph
last_name: Plass
language:
- iso: eng
place: Berlin, Heidelberg
publication_identifier:
isbn:
- '9783662681152'
- '9783662681169'
issn:
- 2523-3637
- 2523-3645
publication_status: published
publisher: Springer Berlin Heidelberg
status: public
title: Digitale Plattformen im industriellen Mittelstand
type: book_editor
user_id: '15782'
year: '2024'
...
---
_id: '54437'
abstract:
- lang: eng
text: "Video conferencing systems have become an indispensable part of our world.
Using video conferencing systems implies the expectation that online meetings
run as smoothly as in-person meetings. Thus, online meetings need to be just as
secure and private as in-person meetings, which are secured against disruptive
factors and unauthorized persons by physical access control mechanisms.\r\n\r\nTo
show the security dangers of conferencing systems and raise general awareness
when using these technologies, we analyze the security of two widely used research
and education open-source video conferencing systems: BigBlueButton and eduMEET.
Because both systems are very different, we analyzed their architectures, considering
the respective components with their main tasks, features, and user roles. In
the following systematic security analyses, we found 50 vulnerabilities. These
include broken access control, NoSQL injection, and denial of service (DoS). The
vulnerabilities have root causes of different natures. While BigBlueButton has
a lot of complexity due to many components, eduMEET, which is relatively young,
focuses more on features than security. The sheer amount of results and the lack
of prior work indicate a research gap that needs to be closed since video conferencing
systems continue to play a significant role in research, education, and everyday
life."
author:
- first_name: Nico
full_name: Heitmann, Nico
id: '74619'
last_name: Heitmann
- first_name: Hendrik
full_name: Siewert, Hendrik
last_name: Siewert
- first_name: Sven
full_name: Moog, Sven
last_name: Moog
- first_name: Juraj
full_name: Somorovsky, Juraj
id: '83504'
last_name: Somorovsky
orcid: 0000-0002-3593-7720
citation:
ama: 'Heitmann N, Siewert H, Moog S, Somorovsky J. Security Analysis of BigBlueButton
and eduMEET. In: Applied Cryptography and Network Security. Springer Nature
Switzerland; 2024. doi:10.1007/978-3-031-54776-8_8'
apa: Heitmann, N., Siewert, H., Moog, S., & Somorovsky, J. (2024). Security
Analysis of BigBlueButton and eduMEET. Applied Cryptography and Network Security.
https://doi.org/10.1007/978-3-031-54776-8_8
bibtex: '@inproceedings{Heitmann_Siewert_Moog_Somorovsky_2024, place={Cham}, title={Security
Analysis of BigBlueButton and eduMEET}, DOI={10.1007/978-3-031-54776-8_8},
booktitle={Applied Cryptography and Network Security}, publisher={Springer Nature
Switzerland}, author={Heitmann, Nico and Siewert, Hendrik and Moog, Sven and Somorovsky,
Juraj}, year={2024} }'
chicago: 'Heitmann, Nico, Hendrik Siewert, Sven Moog, and Juraj Somorovsky. “Security
Analysis of BigBlueButton and EduMEET.” In Applied Cryptography and Network
Security. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-54776-8_8.'
ieee: 'N. Heitmann, H. Siewert, S. Moog, and J. Somorovsky, “Security Analysis of BigBlueButton
and eduMEET,” Abu Dhabi, 2024, doi: 10.1007/978-3-031-54776-8_8.'
mla: Heitmann, Nico, et al. “Security Analysis of BigBlueButton and EduMEET.” Applied
Cryptography and Network Security, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-54776-8_8.
short: 'N. Heitmann, H. Siewert, S. Moog, J. Somorovsky, in: Applied Cryptography
and Network Security, Springer Nature Switzerland, Cham, 2024.'
conference:
end_date: 2024-03-08
location: Abu Dhabi
start_date: 2024-03-05
date_created: 2024-05-23T11:15:39Z
date_updated: 2024-05-23T11:20:29Z
department:
- _id: '632'
doi: 10.1007/978-3-031-54776-8_8
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/content/pdf/10.1007/978-3-031-54776-8_8.pdf
place: Cham
publication: Applied Cryptography and Network Security
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Security Analysis of BigBlueButton and eduMEET
type: conference
user_id: '74619'
year: '2024'
...
---
_id: '54449'
author:
- first_name: N'Dah Jean
full_name: KOUAGOU, N'Dah Jean
id: '87189'
last_name: KOUAGOU
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Adrian
full_name: Wilke, Adrian
id: '9101'
last_name: Wilke
orcid: 0000-0002-6575-807X
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Jiayi
full_name: Li, Jiayi
last_name: Li
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'KOUAGOU NJ, Demir C, Zahera HMA, et al. Universal Knowledge Graph Embeddings.
In: Companion Proceedings of the ACM on Web Conference 2024. ACM; 2024.
doi:10.1145/3589335.3651978'
apa: KOUAGOU, N. J., Demir, C., Zahera, H. M. A., Wilke, A., Heindorf, S., Li, J.,
& Ngonga Ngomo, A.-C. (2024). Universal Knowledge Graph Embeddings. Companion
Proceedings of the ACM on Web Conference 2024. Companion Proceedings of the
ACM on Web Conference 2024, Singapore. https://doi.org/10.1145/3589335.3651978
bibtex: '@inproceedings{KOUAGOU_Demir_Zahera_Wilke_Heindorf_Li_Ngonga Ngomo_2024,
title={Universal Knowledge Graph Embeddings}, DOI={10.1145/3589335.3651978},
booktitle={Companion Proceedings of the ACM on Web Conference 2024}, publisher={ACM},
author={KOUAGOU, N’Dah Jean and Demir, Caglar and Zahera, Hamada Mohamed Abdelsamee
and Wilke, Adrian and Heindorf, Stefan and Li, Jiayi and Ngonga Ngomo, Axel-Cyrille},
year={2024} }'
chicago: KOUAGOU, N’Dah Jean, Caglar Demir, Hamada Mohamed Abdelsamee Zahera, Adrian
Wilke, Stefan Heindorf, Jiayi Li, and Axel-Cyrille Ngonga Ngomo. “Universal Knowledge
Graph Embeddings.” In Companion Proceedings of the ACM on Web Conference 2024.
ACM, 2024. https://doi.org/10.1145/3589335.3651978.
ieee: 'N. J. KOUAGOU et al., “Universal Knowledge Graph Embeddings,” presented
at the Companion Proceedings of the ACM on Web Conference 2024, Singapore, 2024,
doi: 10.1145/3589335.3651978.'
mla: KOUAGOU, N’Dah Jean, et al. “Universal Knowledge Graph Embeddings.” Companion
Proceedings of the ACM on Web Conference 2024, ACM, 2024, doi:10.1145/3589335.3651978.
short: 'N.J. KOUAGOU, C. Demir, H.M.A. Zahera, A. Wilke, S. Heindorf, J. Li, A.-C.
Ngonga Ngomo, in: Companion Proceedings of the ACM on Web Conference 2024, ACM,
2024.'
conference:
end_date: 2024-05-17
location: Singapore
name: Companion Proceedings of the ACM on Web Conference 2024
start_date: 2024-05-13
date_created: 2024-05-26T18:52:47Z
date_updated: 2024-05-26T19:06:10Z
department:
- _id: '760'
- _id: '574'
doi: 10.1145/3589335.3651978
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/abs/10.1145/3589335.3651978
oa: '1'
publication: Companion Proceedings of the ACM on Web Conference 2024
publication_status: published
publisher: ACM
status: public
title: Universal Knowledge Graph Embeddings
type: conference
user_id: '11871'
year: '2024'
...
---
_id: '54468'
author:
- first_name: Muhammad
full_name: Awais, Muhammad
id: '64665'
last_name: Awais
orcid: https://orcid.org/0000-0003-4148-2969
- first_name: Hassan
full_name: Ghasemzadeh Mohammadi, Hassan
id: '61186'
last_name: Ghasemzadeh Mohammadi
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Awais M, Ghasemzadeh Mohammadi H, Platzner M. DeepApprox: Rapid Deep Learning
based Design Space Exploration of Approximate Circuits via Check-pointing. In:
To Apear in IEEE ISVLSI 2024. ; 2024.'
apa: 'Awais, M., Ghasemzadeh Mohammadi, H., & Platzner, M. (2024). DeepApprox:
Rapid Deep Learning based Design Space Exploration of Approximate Circuits via
Check-pointing. To Apear in IEEE ISVLSI 2024. IEEE Computer Society Annual
Symposium on VLSI, Knoxville, Tennessee, USA.'
bibtex: '@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner_2024, title={DeepApprox:
Rapid Deep Learning based Design Space Exploration of Approximate Circuits via
Check-pointing}, booktitle={To apear in IEEE ISVLSI 2024}, author={Awais, Muhammad
and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}, year={2024} }'
chicago: 'Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “DeepApprox:
Rapid Deep Learning Based Design Space Exploration of Approximate Circuits via
Check-Pointing.” In To Apear in IEEE ISVLSI 2024, 2024.'
ieee: 'M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “DeepApprox: Rapid Deep
Learning based Design Space Exploration of Approximate Circuits via Check-pointing,”
presented at the IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee,
USA, 2024.'
mla: 'Awais, Muhammad, et al. “DeepApprox: Rapid Deep Learning Based Design Space
Exploration of Approximate Circuits via Check-Pointing.” To Apear in IEEE ISVLSI
2024, 2024.'
short: 'M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: To Apear in IEEE ISVLSI
2024, 2024.'
conference:
end_date: 2024-07-03
location: Knoxville, Tennessee, USA
name: IEEE Computer Society Annual Symposium on VLSI
start_date: 2024-07-01
date_created: 2024-05-28T08:14:43Z
date_updated: 2024-05-29T08:26:29Z
department:
- _id: '78'
language:
- iso: eng
publication: To apear in IEEE ISVLSI 2024
status: public
title: 'DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate
Circuits via Check-pointing'
type: conference
user_id: '64665'
year: '2024'
...
---
_id: '54548'
author:
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: Prager RP, Trautmann H. Exploratory Landscape Analysis for Mixed-Variable Problems.
IEEE Transactions on Evolutionary Computation. Published online 2024:1-1.
doi:10.1109/TEVC.2024.3399560
apa: Prager, R. P., & Trautmann, H. (2024). Exploratory Landscape Analysis for
Mixed-Variable Problems. IEEE Transactions on Evolutionary Computation,
1–1. https://doi.org/10.1109/TEVC.2024.3399560
bibtex: '@article{Prager_Trautmann_2024, title={Exploratory Landscape Analysis for
Mixed-Variable Problems}, DOI={10.1109/TEVC.2024.3399560},
journal={IEEE Transactions on Evolutionary Computation}, author={Prager, Raphael
Patrick and Trautmann, Heike}, year={2024}, pages={1–1} }'
chicago: Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis
for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation,
2024, 1–1. https://doi.org/10.1109/TEVC.2024.3399560.
ieee: 'R. P. Prager and H. Trautmann, “Exploratory Landscape Analysis for Mixed-Variable
Problems,” IEEE Transactions on Evolutionary Computation, pp. 1–1, 2024,
doi: 10.1109/TEVC.2024.3399560.'
mla: Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis
for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation,
2024, pp. 1–1, doi:10.1109/TEVC.2024.3399560.
short: R.P. Prager, H. Trautmann, IEEE Transactions on Evolutionary Computation
(2024) 1–1.
date_created: 2024-06-03T06:16:33Z
date_updated: 2024-06-03T06:17:13Z
department:
- _id: '819'
doi: 10.1109/TEVC.2024.3399560
keyword:
- Optimization
- Evolutionary computation
- Benchmark testing
- Hyperparameter optimization
- Portfolios
- Extraterrestrial measurements
- Dispersion
- Exploratory landscape analysis
- mixed-variable problem
- mixed search spaces
- automated algorithm selection
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: Exploratory Landscape Analysis for Mixed-Variable Problems
type: journal_article
user_id: '15504'
year: '2024'
...
---
_id: '54559'
author:
- first_name: Denis
full_name: Tissen, Denis
last_name: Tissen
- first_name: Ingrid
full_name: Wiederkehr, Ingrid
last_name: Wiederkehr
- first_name: Christian
full_name: Koldewey, Christian
last_name: Koldewey
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
citation:
ama: 'Tissen D, Wiederkehr I, Koldewey C, Dumitrescu R. Exploring data-driven model-based
systems engineering: a systematic literature review. In: 2023 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE;
2024. doi:10.1109/ictmod59086.2023.10438129'
apa: 'Tissen, D., Wiederkehr, I., Koldewey, C., & Dumitrescu, R. (2024). Exploring
data-driven model-based systems engineering: a systematic literature review. 2023
IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD). https://doi.org/10.1109/ictmod59086.2023.10438129'
bibtex: '@inproceedings{Tissen_Wiederkehr_Koldewey_Dumitrescu_2024, title={Exploring
data-driven model-based systems engineering: a systematic literature review},
DOI={10.1109/ictmod59086.2023.10438129},
booktitle={2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)}, publisher={IEEE}, author={Tissen, Denis and Wiederkehr,
Ingrid and Koldewey, Christian and Dumitrescu, Roman}, year={2024} }'
chicago: 'Tissen, Denis, Ingrid Wiederkehr, Christian Koldewey, and Roman Dumitrescu.
“Exploring Data-Driven Model-Based Systems Engineering: A Systematic Literature
Review.” In 2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD). IEEE, 2024. https://doi.org/10.1109/ictmod59086.2023.10438129.'
ieee: 'D. Tissen, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “Exploring data-driven
model-based systems engineering: a systematic literature review,” 2024, doi: 10.1109/ictmod59086.2023.10438129.'
mla: 'Tissen, Denis, et al. “Exploring Data-Driven Model-Based Systems Engineering:
A Systematic Literature Review.” 2023 IEEE International Conference on Technology
Management, Operations and Decisions (ICTMOD), IEEE, 2024, doi:10.1109/ictmod59086.2023.10438129.'
short: 'D. Tissen, I. Wiederkehr, C. Koldewey, R. Dumitrescu, in: 2023 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD), IEEE,
2024.'
date_created: 2024-06-04T07:38:41Z
date_updated: 2024-06-04T08:00:20Z
department:
- _id: '563'
doi: 10.1109/ictmod59086.2023.10438129
publication: 2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)
publication_status: published
publisher: IEEE
status: public
title: 'Exploring data-driven model-based systems engineering: a systematic literature
review'
type: conference
user_id: '102490'
year: '2024'
...
---
_id: '54412'
author:
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. ESLM: Improving Entity Summarization
by Leveraging Language Models. In: The Semantic Web. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-60626-7_9'
apa: 'Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2024). ESLM:
Improving Entity Summarization by Leveraging Language Models. In The Semantic
Web. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60626-7_9'
bibtex: '@inbook{Firmansyah_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={ESLM:
Improving Entity Summarization by Leveraging Language Models}, DOI={10.1007/978-3-031-60626-7_9},
booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Firmansyah,
Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024}
}'
chicago: 'Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo.
“ESLM: Improving Entity Summarization by Leveraging Language Models.” In The
Semantic Web. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-60626-7_9.'
ieee: 'A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “ESLM: Improving
Entity Summarization by Leveraging Language Models,” in The Semantic Web,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Firmansyah, Asep Fajar, et al. “ESLM: Improving Entity Summarization by Leveraging
Language Models.” The Semantic Web, Springer Nature Switzerland, 2024,
doi:10.1007/978-3-031-60626-7_9.'
short: 'A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: The Semantic Web,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-05-22T09:00:03Z
date_updated: 2024-06-04T11:09:23Z
department:
- _id: '574'
- _id: '34'
doi: 10.1007/978-3-031-60626-7_9
language:
- iso: eng
place: Cham
publication: The Semantic Web
publication_identifier:
isbn:
- '9783031606250'
- '9783031606267'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'ESLM: Improving Entity Summarization by Leveraging Language Models'
type: book_chapter
user_id: '76787'
year: '2024'
...
---
_id: '54580'
author:
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Jonni
full_name: Virtema, Jonni
last_name: Virtema
- first_name: Timon
full_name: Barlag, Timon
last_name: Barlag
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Mahmood Y, Virtema J, Barlag T, Ngonga Ngomo A-C. Computing Repairs Under
Functional and Inclusion Dependencies via Argumentation. In: Lecture Notes
in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-56940-1_2'
apa: Mahmood, Y., Virtema, J., Barlag, T., & Ngonga Ngomo, A.-C. (2024). Computing
Repairs Under Functional and Inclusion Dependencies via Argumentation. In Lecture
Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56940-1_2
bibtex: '@inbook{Mahmood_Virtema_Barlag_Ngonga Ngomo_2024, place={Cham}, title={Computing
Repairs Under Functional and Inclusion Dependencies via Argumentation}, DOI={10.1007/978-3-031-56940-1_2},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Mahmood, Yasir and Virtema, Jonni and Barlag, Timon and Ngonga Ngomo,
Axel-Cyrille}, year={2024} }'
chicago: 'Mahmood, Yasir, Jonni Virtema, Timon Barlag, and Axel-Cyrille Ngonga Ngomo.
“Computing Repairs Under Functional and Inclusion Dependencies via Argumentation.”
In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2024. https://doi.org/10.1007/978-3-031-56940-1_2.'
ieee: 'Y. Mahmood, J. Virtema, T. Barlag, and A.-C. Ngonga Ngomo, “Computing Repairs
Under Functional and Inclusion Dependencies via Argumentation,” in Lecture
Notes in Computer Science, Cham: Springer Nature Switzerland, 2024.'
mla: Mahmood, Yasir, et al. “Computing Repairs Under Functional and Inclusion Dependencies
via Argumentation.” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2024, doi:10.1007/978-3-031-56940-1_2.
short: 'Y. Mahmood, J. Virtema, T. Barlag, A.-C. Ngonga Ngomo, in: Lecture Notes
in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-06-04T10:01:16Z
date_updated: 2024-06-04T15:53:59Z
department:
- _id: '574'
doi: 10.1007/978-3-031-56940-1_2
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031569395'
- '9783031569401'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Computing Repairs Under Functional and Inclusion Dependencies via Argumentation
type: book_chapter
user_id: '99353'
year: '2024'
...
---
_id: '54642'
author:
- first_name: K.
full_name: Dietrich, K.
last_name: Dietrich
- first_name: R.
full_name: Prager, R.
last_name: Prager
- first_name: C.
full_name: Doerr, C.
last_name: Doerr
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Dietrich K, Prager R, Doerr C, Trautmann H. Hybridizing Target- and SHAP-encoded
Features for Algorithm Selection in Mixed-variable Black-box Optimization. In:
Affenzeller M, Winkler S, Kononova A, et al., eds. Parallel Problem Solving
from Nature — PPSN XVIII. Springer International Publishing; 2024:1-14.'
apa: Dietrich, K., Prager, R., Doerr, C., & Trautmann, H. (2024). Hybridizing
Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box
Optimization. In M. Affenzeller, S. Winkler, A. Kononova, H. Trautmann, T. Tušar,
P. Machado, & T. Baeck (Eds.), Parallel Problem Solving from Nature — PPSN
XVIII (pp. 1–14). Springer International Publishing.
bibtex: '@inproceedings{Dietrich_Prager_Doerr_Trautmann_2024, place={Cham}, title={Hybridizing
Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box
Optimization}, booktitle={Parallel Problem Solving from Nature — PPSN XVIII},
publisher={Springer International Publishing}, author={Dietrich, K. and Prager,
R. and Doerr, C. and Trautmann, Heike}, editor={Affenzeller, M and Winkler, S
and Kononova, A and Trautmann, H and Tušar, T and Machado, P and Baeck, T}, year={2024},
pages={1–14} }'
chicago: 'Dietrich, K., R. Prager, C. Doerr, and Heike Trautmann. “Hybridizing Target-
and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box
Optimization.” In Parallel Problem Solving from Nature — PPSN XVIII, edited
by M Affenzeller, S Winkler, A Kononova, H Trautmann, T Tušar, P Machado, and
T Baeck, 1–14. Cham: Springer International Publishing, 2024.'
ieee: K. Dietrich, R. Prager, C. Doerr, and H. Trautmann, “Hybridizing Target- and
SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization,”
in Parallel Problem Solving from Nature — PPSN XVIII, 2024, pp. 1–14.
mla: Dietrich, K., et al. “Hybridizing Target- and SHAP-Encoded Features for Algorithm
Selection in Mixed-Variable Black-Box Optimization.” Parallel Problem Solving
from Nature — PPSN XVIII, edited by M Affenzeller et al., Springer International
Publishing, 2024, pp. 1–14.
short: 'K. Dietrich, R. Prager, C. Doerr, H. Trautmann, in: M. Affenzeller, S. Winkler,
A. Kononova, H. Trautmann, T. Tušar, P. Machado, T. Baeck (Eds.), Parallel Problem
Solving from Nature — PPSN XVIII, Springer International Publishing, Cham, 2024,
pp. 1–14.'
date_created: 2024-06-07T04:56:32Z
date_updated: 2024-06-07T05:02:25Z
department:
- _id: '819'
editor:
- first_name: M
full_name: Affenzeller, M
last_name: Affenzeller
- first_name: S
full_name: Winkler, S
last_name: Winkler
- first_name: A
full_name: Kononova, A
last_name: Kononova
- first_name: H
full_name: Trautmann, H
last_name: Trautmann
- first_name: T
full_name: Tušar, T
last_name: Tušar
- first_name: P
full_name: Machado, P
last_name: Machado
- first_name: T
full_name: Baeck, T
last_name: Baeck
language:
- iso: eng
page: 1-14
place: Cham
publication: Parallel Problem Solving from Nature — PPSN XVIII
publisher: Springer International Publishing
status: public
title: Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable
Black-box Optimization
type: conference
user_id: '15504'
year: '2024'
...
---
_id: '52759'
author:
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated
Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems.
In: Applications of Evolutionary Computation. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-56852-7_20'
apa: Preuß, O. L., Rook, J., & Trautmann, H. (2024). On the Potential of Multi-objective
Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation
Problems. In Applications of Evolutionary Computation. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-56852-7_20
bibtex: '@inbook{Preuß_Rook_Trautmann_2024, place={Cham}, title={On the Potential
of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective
Optimisation Problems}, DOI={10.1007/978-3-031-56852-7_20},
booktitle={Applications of Evolutionary Computation}, publisher={Springer Nature
Switzerland}, author={Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike},
year={2024} }'
chicago: 'Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential
of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective
Optimisation Problems.” In Applications of Evolutionary Computation. Cham:
Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.'
ieee: 'O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective
Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation
Problems,” in Applications of Evolutionary Computation, Cham: Springer
Nature Switzerland, 2024.'
mla: Preuß, Oliver Ludger, et al. “On the Potential of Multi-Objective Automated
Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.”
Applications of Evolutionary Computation, Springer Nature Switzerland,
2024, doi:10.1007/978-3-031-56852-7_20.
short: 'O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-03-25T08:22:57Z
date_updated: 2024-06-10T11:55:38Z
department:
- _id: '819'
doi: 10.1007/978-3-031-56852-7_20
language:
- iso: eng
place: Cham
publication: Applications of Evolutionary Computation
publication_identifier:
isbn:
- '9783031568510'
- '9783031568527'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal
Multi-objective Optimisation Problems
type: book_chapter
user_id: '15504'
year: '2024'
...
---
_id: '52749'
author:
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Jonathan
full_name: Heins, Jonathan
last_name: Heins
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Seiler M, Rook J, Heins J, Preuß OL, Bossek J, Trautmann H. Using Reinforcement
Learning for Per-Instance Algorithm Configuration on the TSP. In: 2023 IEEE
Symposium Series on Computational Intelligence (SSCI). IEEE; 2024. doi:10.1109/ssci52147.2023.10372008'
apa: Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., & Trautmann,
H. (2024). Using Reinforcement Learning for Per-Instance Algorithm Configuration
on the TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI).
https://doi.org/10.1109/ssci52147.2023.10372008
bibtex: '@inproceedings{Seiler_Rook_Heins_Preuß_Bossek_Trautmann_2024, title={Using
Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}, DOI={10.1109/ssci52147.2023.10372008},
booktitle={2023 IEEE Symposium Series on Computational Intelligence (SSCI)}, publisher={IEEE},
author={Seiler, Moritz and Rook, Jeroen and Heins, Jonathan and Preuß, Oliver
Ludger and Bossek, Jakob and Trautmann, Heike}, year={2024} }'
chicago: Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob
Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm
Configuration on the TSP.” In 2023 IEEE Symposium Series on Computational Intelligence
(SSCI). IEEE, 2024. https://doi.org/10.1109/ssci52147.2023.10372008.
ieee: 'M. Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using
Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,” 2024,
doi: 10.1109/ssci52147.2023.10372008.'
mla: Seiler, Moritz, et al. “Using Reinforcement Learning for Per-Instance Algorithm
Configuration on the TSP.” 2023 IEEE Symposium Series on Computational Intelligence
(SSCI), IEEE, 2024, doi:10.1109/ssci52147.2023.10372008.
short: 'M. Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023
IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024.'
date_created: 2024-03-25T08:15:01Z
date_updated: 2024-06-10T11:59:44Z
department:
- _id: '819'
doi: 10.1109/ssci52147.2023.10372008
language:
- iso: eng
publication: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)
publication_status: published
publisher: IEEE
status: public
title: Using Reinforcement Learning for Per-Instance Algorithm Configuration on the
TSP
type: conference
user_id: '15504'
year: '2024'
...
---
_id: '54742'
abstract:
- lang: eng
text: AbstractThe specification of requirements
and tests are crucial activities in automotive development projects. However,
due to the increasing complexity of automotive systems, practitioners fail to
specify requirements and tests for distributed and evolving systems with complex
interactions when following traditional development processes. To address this
research gap, we propose a technique that starts with the early identification
of validation concerns from a stakeholder perspective, which we use to systematically
design tests that drive a scenario‐based modeling and analysis of system requirements.
To ensure complete and consistent requirements and test specifications in a form
that is required in automotive development projects, we develop a Model‐Based
Systems Engineering (MBSE) methodology. This methodology supports system architects
and test designers in the collaborative application of our technique and in maintaining
a central system model, in order to automatically derive the required specifications.
We evaluate our methodology by applying it at KOSTAL (Tier1 supplier) and within
student projects as part of the masters program Embedded Systems Engineering.
Our study corroborates that our methodology is applicable and improves existing
requirements and test specification processes by supporting the integrated and
stakeholder‐focused modeling of product and validation systems, where the early
definition of stakeholder and validation concerns fosters a problem‐oriented,
iterative and test‐driven requirements modeling.
author:
- first_name: Carsten
full_name: Wiecher, Carsten
last_name: Wiecher
- first_name: Constantin
full_name: Mandel, Constantin
last_name: Mandel
- first_name: Matthias
full_name: Günther, Matthias
last_name: Günther
- first_name: Jannik
full_name: Fischbach, Jannik
last_name: Fischbach
- first_name: Joel
full_name: Greenyer, Joel
last_name: Greenyer
- first_name: Matthias
full_name: Greinert, Matthias
last_name: Greinert
- first_name: Carsten
full_name: Wolff, Carsten
last_name: Wolff
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Daniel
full_name: Mendez, Daniel
last_name: Mendez
- first_name: Albert
full_name: Albers, Albert
last_name: Albers
citation:
ama: 'Wiecher C, Mandel C, Günther M, et al. Model‐based analysis and specification
of functional requirements and tests for complex automotive systems. In: Systems
Engineering. Wiley; 2024. doi:10.1002/sys.21748'
apa: Wiecher, C., Mandel, C., Günther, M., Fischbach, J., Greenyer, J., Greinert,
M., Wolff, C., Dumitrescu, R., Mendez, D., & Albers, A. (2024). Model‐based
analysis and specification of functional requirements and tests for complex automotive
systems. Systems Engineering. Tag des Systems Engineering 2023, Würzburg.
https://doi.org/10.1002/sys.21748
bibtex: '@inproceedings{Wiecher_Mandel_Günther_Fischbach_Greenyer_Greinert_Wolff_Dumitrescu_Mendez_Albers_2024,
title={Model‐based analysis and specification of functional requirements and tests
for complex automotive systems}, DOI={10.1002/sys.21748},
booktitle={Systems Engineering}, publisher={Wiley}, author={Wiecher, Carsten and
Mandel, Constantin and Günther, Matthias and Fischbach, Jannik and Greenyer, Joel
and Greinert, Matthias and Wolff, Carsten and Dumitrescu, Roman and Mendez, Daniel
and Albers, Albert}, year={2024} }'
chicago: Wiecher, Carsten, Constantin Mandel, Matthias Günther, Jannik Fischbach,
Joel Greenyer, Matthias Greinert, Carsten Wolff, Roman Dumitrescu, Daniel Mendez,
and Albert Albers. “Model‐based Analysis and Specification of Functional Requirements
and Tests for Complex Automotive Systems.” In Systems Engineering. Wiley,
2024. https://doi.org/10.1002/sys.21748.
ieee: 'C. Wiecher et al., “Model‐based analysis and specification of functional
requirements and tests for complex automotive systems,” presented at the Tag des
Systems Engineering 2023, Würzburg, 2024, doi: 10.1002/sys.21748.'
mla: Wiecher, Carsten, et al. “Model‐based Analysis and Specification of Functional
Requirements and Tests for Complex Automotive Systems.” Systems Engineering,
Wiley, 2024, doi:10.1002/sys.21748.
short: 'C. Wiecher, C. Mandel, M. Günther, J. Fischbach, J. Greenyer, M. Greinert,
C. Wolff, R. Dumitrescu, D. Mendez, A. Albers, in: Systems Engineering, Wiley,
2024.'
conference:
end_date: 2023-11-17
location: Würzburg
name: Tag des Systems Engineering 2023
start_date: 2023-11-15
date_created: 2024-06-13T11:01:38Z
date_updated: 2024-06-13T11:31:00Z
department:
- _id: '563'
doi: 10.1002/sys.21748
language:
- iso: eng
publication: Systems Engineering
publication_identifier:
issn:
- 1098-1241
- 1520-6858
publication_status: published
publisher: Wiley
status: public
title: Model‐based analysis and specification of functional requirements and tests
for complex automotive systems
type: conference
user_id: '15782'
year: '2024'
...
---
_id: '54741'
abstract:
- lang: eng
text: "Abstract\r\n Production planning
and control (PPC) is a central element in the production system and represents
a key element of the transformation towards Industry 4.0. Artificial intelligence
(AI) is used to evaluate information and to model and optimize systems. The article
gives a systematic overview of application potentials of AI in PPS and discusses
the challenges on the way towards AI-based production planning and control."
alternative_title:
- Potenziale und Anwendungsreife
author:
- first_name: Sebastian
full_name: von Enzberg, Sebastian
last_name: von Enzberg
- first_name: Julian
full_name: Weller, Julian
last_name: Weller
- first_name: Pascal
full_name: Pöhler, Pascal
last_name: Pöhler
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Michael
full_name: Römer, Michael
last_name: Römer
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: von Enzberg S, Weller J, Pöhler P, Kühn A, Römer M, Dumitrescu R. Künstliche
Intelligenz in der Produktionsplanung und -steuerung. Zeitschrift für wirtschaftlichen
Fabrikbetrieb. 2024;119(5):349-355. doi:10.1515/zwf-2024-1065
apa: von Enzberg, S., Weller, J., Pöhler, P., Kühn, A., Römer, M., & Dumitrescu,
R. (2024). Künstliche Intelligenz in der Produktionsplanung und -steuerung. Zeitschrift
Für Wirtschaftlichen Fabrikbetrieb, 119(5), 349–355. https://doi.org/10.1515/zwf-2024-1065
bibtex: '@article{von Enzberg_Weller_Pöhler_Kühn_Römer_Dumitrescu_2024, title={Künstliche
Intelligenz in der Produktionsplanung und -steuerung}, volume={119}, DOI={10.1515/zwf-2024-1065},
number={5}, journal={Zeitschrift für wirtschaftlichen Fabrikbetrieb}, publisher={Walter
de Gruyter GmbH}, author={von Enzberg, Sebastian and Weller, Julian and Pöhler,
Pascal and Kühn, Arno and Römer, Michael and Dumitrescu, Roman}, year={2024},
pages={349–355} }'
chicago: 'Enzberg, Sebastian von, Julian Weller, Pascal Pöhler, Arno Kühn, Michael
Römer, and Roman Dumitrescu. “Künstliche Intelligenz in Der Produktionsplanung
Und -Steuerung.” Zeitschrift Für Wirtschaftlichen Fabrikbetrieb 119, no.
5 (2024): 349–55. https://doi.org/10.1515/zwf-2024-1065.'
ieee: 'S. von Enzberg, J. Weller, P. Pöhler, A. Kühn, M. Römer, and R. Dumitrescu,
“Künstliche Intelligenz in der Produktionsplanung und -steuerung,” Zeitschrift
für wirtschaftlichen Fabrikbetrieb, vol. 119, no. 5, pp. 349–355, 2024, doi:
10.1515/zwf-2024-1065.'
mla: von Enzberg, Sebastian, et al. “Künstliche Intelligenz in Der Produktionsplanung
Und -Steuerung.” Zeitschrift Für Wirtschaftlichen Fabrikbetrieb, vol. 119,
no. 5, Walter de Gruyter GmbH, 2024, pp. 349–55, doi:10.1515/zwf-2024-1065.
short: S. von Enzberg, J. Weller, P. Pöhler, A. Kühn, M. Römer, R. Dumitrescu, Zeitschrift
Für Wirtschaftlichen Fabrikbetrieb 119 (2024) 349–355.
date_created: 2024-06-13T11:00:18Z
date_updated: 2024-06-13T11:30:52Z
department:
- _id: '563'
doi: 10.1515/zwf-2024-1065
intvolume: ' 119'
issue: '5'
language:
- iso: eng
page: 349-355
publication: Zeitschrift für wirtschaftlichen Fabrikbetrieb
publication_identifier:
issn:
- 2511-0896
- 0947-0085
publication_status: published
publisher: Walter de Gruyter GmbH
status: public
title: Künstliche Intelligenz in der Produktionsplanung und -steuerung
type: journal_article
user_id: '15782'
volume: 119
year: '2024'
...
---
_id: '54743'
author:
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Martin
full_name: Ebel, Martin
last_name: Ebel
- first_name: Johannes
full_name: Winter, Johannes
last_name: Winter
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Koldewey C, Ebel M, Winter J, Dumitrescu R. Data-driven Services and Servitization
in Manufacturing: Innovation, Engineering, Transformation, and Management. In:
Proceedings of the 57th Hawaii International Conference on System Sciences
| 2024. ; 2024.'
apa: 'Koldewey, C., Ebel, M., Winter, J., & Dumitrescu, R. (2024). Data-driven
Services and Servitization in Manufacturing: Innovation, Engineering, Transformation,
and Management. Proceedings of the 57th Hawaii International Conference on
System Sciences | 2024. Hawaii International Conference on System Sciences
, Hawaii.'
bibtex: '@inproceedings{Koldewey_Ebel_Winter_Dumitrescu_2024, title={Data-driven
Services and Servitization in Manufacturing: Innovation, Engineering, Transformation,
and Management}, booktitle={Proceedings of the 57th Hawaii International Conference
on System Sciences | 2024}, author={Koldewey, Christian and Ebel, Martin and Winter,
Johannes and Dumitrescu, Roman}, year={2024} }'
chicago: 'Koldewey, Christian, Martin Ebel, Johannes Winter, and Roman Dumitrescu.
“Data-Driven Services and Servitization in Manufacturing: Innovation, Engineering,
Transformation, and Management.” In Proceedings of the 57th Hawaii International
Conference on System Sciences | 2024, 2024.'
ieee: 'C. Koldewey, M. Ebel, J. Winter, and R. Dumitrescu, “Data-driven Services
and Servitization in Manufacturing: Innovation, Engineering, Transformation, and
Management,” presented at the Hawaii International Conference on System Sciences
, Hawaii, 2024.'
mla: 'Koldewey, Christian, et al. “Data-Driven Services and Servitization in Manufacturing:
Innovation, Engineering, Transformation, and Management.” Proceedings of the
57th Hawaii International Conference on System Sciences | 2024, 2024.'
short: 'C. Koldewey, M. Ebel, J. Winter, R. Dumitrescu, in: Proceedings of the 57th
Hawaii International Conference on System Sciences | 2024, 2024.'
conference:
end_date: '2024-01-06 '
location: Hawaii
name: 'Hawaii International Conference on System Sciences '
start_date: 2024-01-03
date_created: 2024-06-13T11:13:21Z
date_updated: 2024-06-13T11:30:56Z
department:
- _id: '563'
language:
- iso: eng
publication: Proceedings of the 57th Hawaii International Conference on System Sciences
| 2024
status: public
title: 'Data-driven Services and Servitization in Manufacturing: Innovation, Engineering,
Transformation, and Management'
type: conference
user_id: '15782'
year: '2024'
...
---
_id: '54751'
author:
- first_name: Tim
full_name: Heuwinkel, Tim
last_name: Heuwinkel
- first_name: Silke
full_name: Merkelbach, Silke
last_name: Merkelbach
- first_name: Nils
full_name: Janssen, Nils
last_name: Janssen
- first_name: Sebastian von
full_name: Enzberg, Sebastian von
last_name: Enzberg
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Heuwinkel T, Merkelbach S, Janssen N, Enzberg S von, Dumitrescu R. Leveraging
self-supervised learning for vibration data in industrial separators. In: LibreCat
University; 2024. doi:10.24405/15306'
apa: Heuwinkel, T., Merkelbach, S., Janssen, N., Enzberg, S. von, & Dumitrescu,
R. (2024). Leveraging self-supervised learning for vibration data in industrial
separators. ML4CPS – Machine Learning for Cyber-Physical Systems. https://doi.org/10.24405/15306
bibtex: '@inproceedings{Heuwinkel_Merkelbach_Janssen_Enzberg_Dumitrescu_2024, title={Leveraging
self-supervised learning for vibration data in industrial separators}, DOI={10.24405/15306}, publisher={LibreCat
University}, author={Heuwinkel, Tim and Merkelbach, Silke and Janssen, Nils and
Enzberg, Sebastian von and Dumitrescu, Roman}, year={2024} }'
chicago: Heuwinkel, Tim, Silke Merkelbach, Nils Janssen, Sebastian von Enzberg,
and Roman Dumitrescu. “Leveraging Self-Supervised Learning for Vibration Data
in Industrial Separators.” LibreCat University, 2024. https://doi.org/10.24405/15306.
ieee: 'T. Heuwinkel, S. Merkelbach, N. Janssen, S. von Enzberg, and R. Dumitrescu,
“Leveraging self-supervised learning for vibration data in industrial separators,”
presented at the ML4CPS – Machine Learning for Cyber-Physical Systems, 2024, doi:
10.24405/15306.'
mla: Heuwinkel, Tim, et al. Leveraging Self-Supervised Learning for Vibration
Data in Industrial Separators. LibreCat University, 2024, doi:10.24405/15306.
short: 'T. Heuwinkel, S. Merkelbach, N. Janssen, S. von Enzberg, R. Dumitrescu,
in: LibreCat University, 2024.'
conference:
name: ML4CPS – Machine Learning for Cyber-Physical Systems
date_created: 2024-06-13T11:26:17Z
date_updated: 2024-06-13T11:28:22Z
department:
- _id: '563'
doi: 10.24405/15306
language:
- iso: eng
publisher: LibreCat University
status: public
title: Leveraging self-supervised learning for vibration data in industrial separators
type: conference
user_id: '15782'
year: '2024'
...