---
_id: '30217'
author:
- first_name: Sam
full_name: Coy, Sam
last_name: Coy
- first_name: Artur
full_name: Czumaj, Artur
last_name: Czumaj
- first_name: Michael
full_name: Feldmann, Michael
last_name: Feldmann
- first_name: Kristian
full_name: Hinnenthal, Kristian
last_name: Hinnenthal
- first_name: Fabian
full_name: Kuhn, Fabian
last_name: Kuhn
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
- first_name: Philipp
full_name: Schneider, Philipp
last_name: Schneider
- first_name: Martijn
full_name: Struijs, Martijn
last_name: Struijs
citation:
ama: 'Coy S, Czumaj A, Feldmann M, et al. Near-Shortest Path Routing in Hybrid Communication
Networks. In: Bramas Q, Gramoli V, Milani A, eds. 25th International Conference
on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg,
France. Vol 217. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik;
2021:11:1–11:23. doi:10.4230/LIPIcs.OPODIS.2021.11'
apa: Coy, S., Czumaj, A., Feldmann, M., Hinnenthal, K., Kuhn, F., Scheideler, C.,
Schneider, P., & Struijs, M. (2021). Near-Shortest Path Routing in Hybrid
Communication Networks. In Q. Bramas, V. Gramoli, & A. Milani (Eds.), 25th
International Conference on Principles of Distributed Systems, OPODIS 2021, December
13-15, 2021, Strasbourg, France (Vol. 217, p. 11:1–11:23). Schloss Dagstuhl
- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.OPODIS.2021.11
bibtex: '@inproceedings{Coy_Czumaj_Feldmann_Hinnenthal_Kuhn_Scheideler_Schneider_Struijs_2021,
series={LIPIcs}, title={Near-Shortest Path Routing in Hybrid Communication Networks},
volume={217}, DOI={10.4230/LIPIcs.OPODIS.2021.11},
booktitle={25th International Conference on Principles of Distributed Systems,
OPODIS 2021, December 13-15, 2021, Strasbourg, France}, publisher={Schloss Dagstuhl
- Leibniz-Zentrum für Informatik}, author={Coy, Sam and Czumaj, Artur and Feldmann,
Michael and Hinnenthal, Kristian and Kuhn, Fabian and Scheideler, Christian and
Schneider, Philipp and Struijs, Martijn}, editor={Bramas, Quentin and Gramoli,
Vincent and Milani, Alessia}, year={2021}, pages={11:1–11:23}, collection={LIPIcs}
}'
chicago: Coy, Sam, Artur Czumaj, Michael Feldmann, Kristian Hinnenthal, Fabian Kuhn,
Christian Scheideler, Philipp Schneider, and Martijn Struijs. “Near-Shortest Path
Routing in Hybrid Communication Networks.” In 25th International Conference
on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg,
France, edited by Quentin Bramas, Vincent Gramoli, and Alessia Milani, 217:11:1–11:23.
LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021. https://doi.org/10.4230/LIPIcs.OPODIS.2021.11.
ieee: 'S. Coy et al., “Near-Shortest Path Routing in Hybrid Communication
Networks,” in 25th International Conference on Principles of Distributed Systems,
OPODIS 2021, December 13-15, 2021, Strasbourg, France, 2021, vol. 217, p.
11:1–11:23, doi: 10.4230/LIPIcs.OPODIS.2021.11.'
mla: Coy, Sam, et al. “Near-Shortest Path Routing in Hybrid Communication Networks.”
25th International Conference on Principles of Distributed Systems, OPODIS
2021, December 13-15, 2021, Strasbourg, France, edited by Quentin Bramas et
al., vol. 217, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, p. 11:1–11:23,
doi:10.4230/LIPIcs.OPODIS.2021.11.
short: 'S. Coy, A. Czumaj, M. Feldmann, K. Hinnenthal, F. Kuhn, C. Scheideler, P.
Schneider, M. Struijs, in: Q. Bramas, V. Gramoli, A. Milani (Eds.), 25th International
Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15,
2021, Strasbourg, France, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021,
p. 11:1–11:23.'
date_created: 2022-03-09T10:43:28Z
date_updated: 2022-03-09T10:46:34Z
department:
- _id: '79'
doi: 10.4230/LIPIcs.OPODIS.2021.11
editor:
- first_name: Quentin
full_name: Bramas, Quentin
last_name: Bramas
- first_name: Vincent
full_name: Gramoli, Vincent
last_name: Gramoli
- first_name: Alessia
full_name: Milani, Alessia
last_name: Milani
intvolume: ' 217'
language:
- iso: eng
page: 11:1–11:23
publication: 25th International Conference on Principles of Distributed Systems, OPODIS
2021, December 13-15, 2021, Strasbourg, France
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
series_title: LIPIcs
status: public
title: Near-Shortest Path Routing in Hybrid Communication Networks
type: conference
user_id: '15504'
volume: 217
year: '2021'
...
---
_id: '21593'
author:
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Ivan
full_name: Jovanovikj, Ivan
id: '39187'
last_name: Jovanovikj
orcid: https://orcid.org/0000-0002-1838-794X
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Yigitbas E, Jovanovikj I, Engels G. Simplifying Robot Programming using Augmented
Reality and End-User Development. In: Proceedings of the 18th IFIP TC13 International
Conference on Human-Computer Interaction (INTERACT 2021) . Springer; 2021.'
apa: Yigitbas, E., Jovanovikj, I., & Engels, G. (2021). Simplifying Robot Programming
using Augmented Reality and End-User Development. Proceedings of the 18th IFIP
TC13 International Conference on Human-Computer Interaction (INTERACT 2021) .
bibtex: '@inproceedings{Yigitbas_Jovanovikj_Engels_2021, title={Simplifying Robot
Programming using Augmented Reality and End-User Development}, booktitle={Proceedings
of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT
2021) }, publisher={Springer}, author={Yigitbas, Enes and Jovanovikj, Ivan and
Engels, Gregor}, year={2021} }'
chicago: Yigitbas, Enes, Ivan Jovanovikj, and Gregor Engels. “Simplifying Robot
Programming Using Augmented Reality and End-User Development.” In Proceedings
of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT
2021) . Springer, 2021.
ieee: E. Yigitbas, I. Jovanovikj, and G. Engels, “Simplifying Robot Programming
using Augmented Reality and End-User Development,” 2021.
mla: Yigitbas, Enes, et al. “Simplifying Robot Programming Using Augmented Reality
and End-User Development.” Proceedings of the 18th IFIP TC13 International
Conference on Human-Computer Interaction (INTERACT 2021) , Springer, 2021.
short: 'E. Yigitbas, I. Jovanovikj, G. Engels, in: Proceedings of the 18th IFIP
TC13 International Conference on Human-Computer Interaction (INTERACT 2021) ,
Springer, 2021.'
date_created: 2021-04-06T17:47:42Z
date_updated: 2022-03-21T14:36:43Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: 'Proceedings of the 18th IFIP TC13 International Conference on Human-Computer
Interaction (INTERACT 2021) '
publisher: Springer
status: public
title: Simplifying Robot Programming using Augmented Reality and End-User Development
type: conference
user_id: '8447'
year: '2021'
...
---
_id: '21707'
author:
- 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
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Yigitbas E, Sauer S, Engels G. Using Augmented Reality for Enhancing Planning
and Measurements in the Scaffolding Business. In: Proceedings of the 13th ACM
SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021).
ACM; 2021.'
apa: Yigitbas, E., Sauer, S., & Engels, G. (2021). Using Augmented Reality for
Enhancing Planning and Measurements in the Scaffolding Business. Proceedings
of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems
(EICS 2021).
bibtex: '@inproceedings{Yigitbas_Sauer_Engels_2021, title={Using Augmented Reality
for Enhancing Planning and Measurements in the Scaffolding Business}, booktitle={Proceedings
of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems
(EICS 2021)}, publisher={ACM}, author={Yigitbas, Enes and Sauer, Stefan and Engels,
Gregor}, year={2021} }'
chicago: Yigitbas, Enes, Stefan Sauer, and Gregor Engels. “Using Augmented Reality
for Enhancing Planning and Measurements in the Scaffolding Business.” In Proceedings
of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems
(EICS 2021). ACM, 2021.
ieee: E. Yigitbas, S. Sauer, and G. Engels, “Using Augmented Reality for Enhancing
Planning and Measurements in the Scaffolding Business,” 2021.
mla: Yigitbas, Enes, et al. “Using Augmented Reality for Enhancing Planning and
Measurements in the Scaffolding Business.” Proceedings of the 13th ACM SIGCHI
Symposium on Engineering Interactive Computing Systems (EICS 2021), ACM, 2021.
short: 'E. Yigitbas, S. Sauer, G. Engels, in: Proceedings of the 13th ACM SIGCHI
Symposium on Engineering Interactive Computing Systems (EICS 2021), ACM, 2021.'
date_created: 2021-04-21T08:23:18Z
date_updated: 2022-03-21T14:38:15Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive
Computing Systems (EICS 2021)
publisher: ACM
status: public
title: Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding
Business
type: conference
user_id: '8447'
year: '2021'
...
---
_id: '22706'
author:
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Simon
full_name: Gorissen, Simon
last_name: Gorissen
- first_name: Nils
full_name: Weidmann, Nils
id: '53103'
last_name: Weidmann
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Yigitbas E, Gorissen S, Weidmann N, Engels G. Collaborative Software Modeling
in Virtual Reality. In: Proceedings of the 24th International Conference on
Model Driven Engineering Languages and Systems (MODELS’21) . ACM/IEEE; 2021.'
apa: Yigitbas, E., Gorissen, S., Weidmann, N., & Engels, G. (2021). Collaborative
Software Modeling in Virtual Reality. Proceedings of the 24th International
Conference on Model Driven Engineering Languages and Systems (MODELS’21) .
bibtex: '@inproceedings{Yigitbas_Gorissen_Weidmann_Engels_2021, title={Collaborative
Software Modeling in Virtual Reality}, booktitle={Proceedings of the 24th International
Conference on Model Driven Engineering Languages and Systems (MODELS’21) }, publisher={ACM/IEEE},
author={Yigitbas, Enes and Gorissen, Simon and Weidmann, Nils and Engels, Gregor},
year={2021} }'
chicago: Yigitbas, Enes, Simon Gorissen, Nils Weidmann, and Gregor Engels. “Collaborative
Software Modeling in Virtual Reality.” In Proceedings of the 24th International
Conference on Model Driven Engineering Languages and Systems (MODELS’21) .
ACM/IEEE, 2021.
ieee: E. Yigitbas, S. Gorissen, N. Weidmann, and G. Engels, “Collaborative Software
Modeling in Virtual Reality,” 2021.
mla: Yigitbas, Enes, et al. “Collaborative Software Modeling in Virtual Reality.”
Proceedings of the 24th International Conference on Model Driven Engineering
Languages and Systems (MODELS’21) , ACM/IEEE, 2021.
short: 'E. Yigitbas, S. Gorissen, N. Weidmann, G. Engels, in: Proceedings of the
24th International Conference on Model Driven Engineering Languages and Systems
(MODELS’21) , ACM/IEEE, 2021.'
date_created: 2021-07-12T11:42:08Z
date_updated: 2022-03-21T14:37:47Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: 'Proceedings of the 24th International Conference on Model Driven Engineering
Languages and Systems (MODELS''21) '
publisher: ACM/IEEE
status: public
title: Collaborative Software Modeling in Virtual Reality
type: conference
user_id: '8447'
year: '2021'
...
---
_id: '21598'
abstract:
- lang: eng
text: Static analysis is used to automatically detect bugs and security breaches,
and aids compileroptimization. Whole-program analysis (WPA) can yield high precision,
however causes long analysistimes and thus does not match common software-development
workflows, making it often impracticalto use for large, real-world applications.This
paper thus presents the design and implementation ofModAlyzer, a novel static-analysisapproach
that aims at accelerating whole-program analysis by making the analysis modular
andcompositional. It shows how to computelossless, persisted summaries for callgraph,
points-to anddata-flow information, and it reports under which circumstances this
function-level compositionalanalysis outperforms WPA.We implementedModAlyzeras
an extension to LLVM and PhASAR, and applied it to 12 real-world C and C++ applications.
At analysis time,ModAlyzermodularly and losslessly summarizesthe analysis effect
of the library code those applications share, hence avoiding its repeated re-analysis.The
experimental results show that the reuse of these summaries can save, on average,
72% ofanalysis time over WPA. Moreover, because it is lossless, the module-wise
analysis fully retainsprecision and recall. Surprisingly, as our results show,
it sometimes even yields precision superior toWPA. The initial summary generation,
on average, takes about 3.67 times as long as WPA.
author:
- first_name: Philipp
full_name: Schubert, Philipp
id: '60543'
last_name: Schubert
orcid: 0000-0002-8674-1859
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Schubert P, Hermann B, Bodden E. Lossless, Persisted Summarization of Static
Callgraph, Points-To and Data-Flow Analysis. In: European Conference on Object-Oriented
Programming (ECOOP). ; 2021.'
apa: Schubert, P., Hermann, B., & Bodden, E. (2021). Lossless, Persisted Summarization
of Static Callgraph, Points-To and Data-Flow Analysis. European Conference
on Object-Oriented Programming (ECOOP).
bibtex: '@inproceedings{Schubert_Hermann_Bodden_2021, title={Lossless, Persisted
Summarization of Static Callgraph, Points-To and Data-Flow Analysis}, booktitle={European
Conference on Object-Oriented Programming (ECOOP)}, author={Schubert, Philipp
and Hermann, Ben and Bodden, Eric}, year={2021} }'
chicago: Schubert, Philipp, Ben Hermann, and Eric Bodden. “Lossless, Persisted Summarization
of Static Callgraph, Points-To and Data-Flow Analysis.” In European Conference
on Object-Oriented Programming (ECOOP), 2021.
ieee: P. Schubert, B. Hermann, and E. Bodden, “Lossless, Persisted Summarization
of Static Callgraph, Points-To and Data-Flow Analysis,” 2021.
mla: Schubert, Philipp, et al. “Lossless, Persisted Summarization of Static Callgraph,
Points-To and Data-Flow Analysis.” European Conference on Object-Oriented Programming
(ECOOP), 2021.
short: 'P. Schubert, B. Hermann, E. Bodden, in: European Conference on Object-Oriented
Programming (ECOOP), 2021.'
date_created: 2021-04-08T11:24:59Z
date_updated: 2022-03-25T07:49:35Z
department:
- _id: '76'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://drops.dagstuhl.de/opus/volltexte/2021/14045/
oa: '1'
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '1'
name: SFB 901
publication: European Conference on Object-Oriented Programming (ECOOP)
status: public
title: Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow
Analysis
type: conference
user_id: '60543'
year: '2021'
...
---
_id: '27381'
abstract:
- lang: eng
text: Graph neural networks (GNNs) have been successfully applied in many structured
data domains, with applications ranging from molecular property prediction to
the analysis of social networks. Motivated by the broad applicability of GNNs,
we propose the family of so-called RankGNNs, a combination of neural Learning
to Rank (LtR) methods and GNNs. RankGNNs are trained with a set of pair-wise preferences
between graphs, suggesting that one of them is preferred over the other. One practical
application of this problem is drug screening, where an expert wants to find the
most promising molecules in a large collection of drug candidates. We empirically
demonstrate that our proposed pair-wise RankGNN approach either significantly
outperforms or at least matches the ranking performance of the naive point-wise
baseline approach, in which the LtR problem is solved via GNN-based graph regression.
author:
- first_name: Clemens
full_name: Damke, Clemens
id: '48192'
last_name: Damke
orcid: 0000-0002-0455-0048
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks.
In: Soares C, Torgo L, eds. Proceedings of The 24th International Conference
on Discovery Science (DS 2021). Vol 12986. Lecture Notes in Computer Science.
Springer; 2021:166-180. doi:10.1007/978-3-030-88942-5'
apa: Damke, C., & Hüllermeier, E. (2021). Ranking Structured Objects with Graph
Neural Networks. In C. Soares & L. Torgo (Eds.), Proceedings of The 24th
International Conference on Discovery Science (DS 2021) (Vol. 12986, pp. 166–180).
Springer. https://doi.org/10.1007/978-3-030-88942-5
bibtex: '@inproceedings{Damke_Hüllermeier_2021, series={Lecture Notes in Computer
Science}, title={Ranking Structured Objects with Graph Neural Networks}, volume={12986},
DOI={10.1007/978-3-030-88942-5},
booktitle={Proceedings of The 24th International Conference on Discovery Science
(DS 2021)}, publisher={Springer}, author={Damke, Clemens and Hüllermeier, Eyke},
editor={Soares, Carlos and Torgo, Luis}, year={2021}, pages={166–180}, collection={Lecture
Notes in Computer Science} }'
chicago: Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with
Graph Neural Networks.” In Proceedings of The 24th International Conference
on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80.
Lecture Notes in Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-88942-5.
ieee: 'C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural
Networks,” in Proceedings of The 24th International Conference on Discovery
Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.'
mla: Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph
Neural Networks.” Proceedings of The 24th International Conference on Discovery
Science (DS 2021), edited by Carlos Soares and Luis Torgo, vol. 12986, Springer,
2021, pp. 166–80, doi:10.1007/978-3-030-88942-5.
short: 'C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of
The 24th International Conference on Discovery Science (DS 2021), Springer, 2021,
pp. 166–180.'
conference:
end_date: 2021-10-13
location: Halifax, Canada
name: 24th International Conference on Discovery Science
start_date: 2021-10-11
date_created: 2021-11-11T14:15:18Z
date_updated: 2022-04-11T22:08:12Z
department:
- _id: '355'
doi: 10.1007/978-3-030-88942-5
editor:
- first_name: Carlos
full_name: Soares, Carlos
last_name: Soares
- first_name: Luis
full_name: Torgo, Luis
last_name: Torgo
external_id:
arxiv:
- '2104.08869'
intvolume: ' 12986'
keyword:
- Graph-structured data
- Graph neural networks
- Preference learning
- Learning to rank
language:
- iso: eng
page: 166-180
publication: Proceedings of The 24th International Conference on Discovery Science
(DS 2021)
publication_identifier:
isbn:
- '9783030889418'
- '9783030889425'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Computer Science
status: public
title: Ranking Structured Objects with Graph Neural Networks
type: conference
user_id: '48192'
volume: 12986
year: '2021'
...
---
_id: '30866'
abstract:
- lang: eng
text: "Automated machine learning (AutoML) strives for the automatic configuration\r\nof
machine learning algorithms and their composition into an overall (software)\r\nsolution
- a machine learning pipeline - tailored to the learning task\r\n(dataset) at
hand. Over the last decade, AutoML has developed into an\r\nindependent research
field with hundreds of contributions. While AutoML offers\r\nmany prospects, it
is also known to be quite resource-intensive, which is one\r\nof its major points
of criticism. The primary cause for a high resource\r\nconsumption is that many
approaches rely on the (costly) evaluation of many\r\nmachine learning pipelines
while searching for good candidates. This problem is\r\namplified in the context
of research on AutoML methods, due to large scale\r\nexperiments conducted with
many datasets and approaches, each of them being run\r\nwith several repetitions
to rule out random effects. In the spirit of recent\r\nwork on Green AI, this
paper is written in an attempt to raise the awareness of\r\nAutoML researchers
for the problem and to elaborate on possible remedies. To\r\nthis end, we identify
four categories of actions the community may take towards\r\nmore sustainable
research on AutoML, i.e. Green AutoML: design of AutoML\r\nsystems, benchmarking,
transparency and research incentives."
author:
- first_name: Tanja
full_name: Tornede, Tanja
id: '40795'
last_name: Tornede
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards
Green Automated Machine Learning: Status Quo and Future Directions. arXiv:211105850.
Published online 2021.'
apa: 'Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., & Hüllermeier,
E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions.
In arXiv:2111.05850.'
bibtex: '@article{Tornede_Tornede_Hanselle_Wever_Mohr_Hüllermeier_2021, title={Towards
Green Automated Machine Learning: Status Quo and Future Directions}, journal={arXiv:2111.05850},
author={Tornede, Tanja and Tornede, Alexander and Hanselle, Jonas Manuel and Wever,
Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2021} }'
chicago: 'Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik
Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning:
Status Quo and Future Directions.” ArXiv:2111.05850, 2021.'
ieee: 'T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier,
“Towards Green Automated Machine Learning: Status Quo and Future Directions,”
arXiv:2111.05850. 2021.'
mla: 'Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo
and Future Directions.” ArXiv:2111.05850, 2021.'
short: T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier,
ArXiv:2111.05850 (2021).
date_created: 2022-04-12T11:57:15Z
date_updated: 2022-04-12T12:01:23Z
department:
- _id: '34'
- _id: '7'
- _id: '26'
external_id:
arxiv:
- '2111.05850'
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '10'
name: 'SFB 901 - B2: SFB 901 - Subproject B2'
publication: arXiv:2111.05850
status: public
title: 'Towards Green Automated Machine Learning: Status Quo and Future Directions'
type: preprint
user_id: '38209'
year: '2021'
...
---
_id: '27284'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: Wever MD. Automated Machine Learning for Multi-Label Classification.;
2021. doi:10.17619/UNIPB/1-1302
apa: Wever, M. D. (2021). Automated Machine Learning for Multi-Label Classification.
https://doi.org/10.17619/UNIPB/1-1302
bibtex: '@book{Wever_2021, title={Automated Machine Learning for Multi-Label Classification},
DOI={10.17619/UNIPB/1-1302},
author={Wever, Marcel Dominik}, year={2021} }'
chicago: Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification,
2021. https://doi.org/10.17619/UNIPB/1-1302.
ieee: M. D. Wever, Automated Machine Learning for Multi-Label Classification.
2021.
mla: Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification.
2021, doi:10.17619/UNIPB/1-1302.
short: M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.
date_created: 2021-11-08T14:05:19Z
date_updated: 2022-04-13T09:39:56Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.17619/UNIPB/1-1302
file:
- access_level: open_access
content_type: application/pdf
creator: wever
date_created: 2022-04-13T09:35:25Z
date_updated: 2022-04-13T09:39:56Z
file_id: '30886'
file_name: dissertation_publish_upload.pdf
file_size: 8098177
relation: main_file
file_date_updated: 2022-04-13T09:39:56Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication_status: published
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Automated Machine Learning for Multi-Label Classification
type: dissertation
user_id: '33176'
year: '2021'
...
---
_id: '30906'
abstract:
- lang: eng
text: "Abstract\r\n Background\r\n
\ Hand amputation can have a truly debilitating impact on
the life of the affected person. A multifunctional myoelectric prosthesis controlled
using pattern classification can be used to restore some of the lost motor abilities.
However, learning to control an advanced prosthesis can be a challenging task,
but virtual and augmented reality (AR) provide means to create an engaging and
motivating training.\r\n \r\n Methods\r\n
\ In this study, we present a novel training framework that
integrates virtual elements within a real scene (AR) while allowing the view from
the first-person perspective. The framework was evaluated in 13 able-bodied subjects
and a limb-deficient person divided into intervention (IG) and control (CG) groups.
The IG received training by performing simulated clothespin task and both groups
conducted a pre- and posttest with a real prosthesis. When training with the AR,
the subjects received visual feedback on the generated grasping force. The main
outcome measure was the number of pins that were successfully transferred within
20 min (task duration), while the number of dropped and broken pins were also
registered. The participants were asked to score the difficulty of the real task
(posttest), fun-factor and motivation, as well as the utility of the feedback.\r\n
\ \r\n Results\r\n
\ The performance (median/interquartile range) consistently
increased during the training sessions (4/3 to 22/4). While the results were similar
for the two groups in the pretest, the performance improved in the posttest only
in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5
versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9)
significantly fewer pins in the posttest compared to CG. The participants in IG
assigned (mean ± std) significantly lower scores to the difficulty compared to
CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3)
and usefulness of feedback (8.5 ± 1.7).\r\n \r\n
\ Conclusion\r\n The
results demonstrated that the proposed AR system allows for the transfer of skills
from the simulated to the real task while providing a positive user experience.
The present study demonstrates the effectiveness and flexibility of the proposed
AR framework. Importantly, the developed system is open source and available for
download and further development.\r\n "
article_number: '25'
author:
- first_name: Alexander
full_name: Boschmann, Alexander
last_name: Boschmann
- first_name: Dorothee
full_name: Neuhaus, Dorothee
last_name: Neuhaus
- first_name: Sarah
full_name: Vogt, Sarah
last_name: Vogt
- first_name: Christian
full_name: Kaltschmidt, Christian
last_name: Kaltschmidt
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Strahinja
full_name: Dosen, Strahinja
last_name: Dosen
citation:
ama: Boschmann A, Neuhaus D, Vogt S, Kaltschmidt C, Platzner M, Dosen S. Immersive
augmented reality system for the training of pattern classification control with
a myoelectric prosthesis. Journal of NeuroEngineering and Rehabilitation.
2021;18(1). doi:10.1186/s12984-021-00822-6
apa: Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., &
Dosen, S. (2021). Immersive augmented reality system for the training of pattern
classification control with a myoelectric prosthesis. Journal of NeuroEngineering
and Rehabilitation, 18(1), Article 25. https://doi.org/10.1186/s12984-021-00822-6
bibtex: '@article{Boschmann_Neuhaus_Vogt_Kaltschmidt_Platzner_Dosen_2021, title={Immersive
augmented reality system for the training of pattern classification control with
a myoelectric prosthesis}, volume={18}, DOI={10.1186/s12984-021-00822-6},
number={125}, journal={Journal of NeuroEngineering and Rehabilitation}, publisher={Springer
Science and Business Media LLC}, author={Boschmann, Alexander and Neuhaus, Dorothee
and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja},
year={2021} }'
chicago: Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt,
Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the
Training of Pattern Classification Control with a Myoelectric Prosthesis.” Journal
of NeuroEngineering and Rehabilitation 18, no. 1 (2021). https://doi.org/10.1186/s12984-021-00822-6.
ieee: 'A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen,
“Immersive augmented reality system for the training of pattern classification
control with a myoelectric prosthesis,” Journal of NeuroEngineering and Rehabilitation,
vol. 18, no. 1, Art. no. 25, 2021, doi: 10.1186/s12984-021-00822-6.'
mla: Boschmann, Alexander, et al. “Immersive Augmented Reality System for the Training
of Pattern Classification Control with a Myoelectric Prosthesis.” Journal of
NeuroEngineering and Rehabilitation, vol. 18, no. 1, 25, Springer Science
and Business Media LLC, 2021, doi:10.1186/s12984-021-00822-6.
short: A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen,
Journal of NeuroEngineering and Rehabilitation 18 (2021).
date_created: 2022-04-18T10:02:20Z
date_updated: 2022-04-18T10:04:16Z
department:
- _id: '78'
doi: 10.1186/s12984-021-00822-6
intvolume: ' 18'
issue: '1'
keyword:
- Health Informatics
- Rehabilitation
language:
- iso: eng
publication: Journal of NeuroEngineering and Rehabilitation
publication_identifier:
issn:
- 1743-0003
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Immersive augmented reality system for the training of pattern classification
control with a myoelectric prosthesis
type: journal_article
user_id: '398'
volume: 18
year: '2021'
...
---
_id: '30907'
author:
- first_name: Alfonso
full_name: Rodriguez, Alfonso
last_name: Rodriguez
- first_name: Andres
full_name: Otero, Andres
last_name: Otero
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Eduardo
full_name: De la Torre, Eduardo
last_name: De la Torre
citation:
ama: Rodriguez A, Otero A, Platzner M, De la Torre E. Exploiting Hardware-Based
Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable
FPGAs. IEEE Transactions on Computers. Published online 2021:1-1. doi:10.1109/tc.2021.3107196
apa: Rodriguez, A., Otero, A., Platzner, M., & De la Torre, E. (2021). Exploiting
Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing
in Reconfigurable FPGAs. IEEE Transactions on Computers, 1–1. https://doi.org/10.1109/tc.2021.3107196
bibtex: '@article{Rodriguez_Otero_Platzner_De la Torre_2021, title={Exploiting Hardware-Based
Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable
FPGAs}, DOI={10.1109/tc.2021.3107196},
journal={IEEE Transactions on Computers}, publisher={Institute of Electrical and
Electronics Engineers (IEEE)}, author={Rodriguez, Alfonso and Otero, Andres and
Platzner, Marco and De la Torre, Eduardo}, year={2021}, pages={1–1} }'
chicago: Rodriguez, Alfonso, Andres Otero, Marco Platzner, and Eduardo De la Torre.
“Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge
Computing in Reconfigurable FPGAs.” IEEE Transactions on Computers, 2021,
1–1. https://doi.org/10.1109/tc.2021.3107196.
ieee: 'A. Rodriguez, A. Otero, M. Platzner, and E. De la Torre, “Exploiting Hardware-Based
Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable
FPGAs,” IEEE Transactions on Computers, pp. 1–1, 2021, doi: 10.1109/tc.2021.3107196.'
mla: Rodriguez, Alfonso, et al. “Exploiting Hardware-Based Data-Parallel and Multithreading
Models for Smart Edge Computing in Reconfigurable FPGAs.” IEEE Transactions
on Computers, Institute of Electrical and Electronics Engineers (IEEE), 2021,
pp. 1–1, doi:10.1109/tc.2021.3107196.
short: A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on
Computers (2021) 1–1.
date_created: 2022-04-18T10:03:16Z
date_updated: 2022-04-18T10:04:21Z
department:
- _id: '78'
doi: 10.1109/tc.2021.3107196
keyword:
- Computational Theory and Mathematics
- Hardware and Architecture
- Theoretical Computer Science
- Software
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Computers
publication_identifier:
issn:
- 0018-9340
- 1557-9956
- 2326-3814
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart
Edge Computing in Reconfigurable FPGAs
type: journal_article
user_id: '398'
year: '2021'
...
---
_id: '21093'
abstract:
- lang: eng
text: Requirements for energy distribution networks are changing fast due to the
growing share of renewable energy, increasing electrification, and novel consumer
and asset technologies. Since uncertainties about future developments increase
planning difficulty, flexibility potentials such as synergies between the electricity,
gas, heat, and transport sector often remain unused. In this paper, we therefore
present a novel module-based concept for a decision support system that helps
distribution network planners to identify cross-sectoral synergies and to select
optimal network assets such as transformers, cables, pipes, energy storage systems
or energy conversion technology. The concept enables long-term transformation
plans and supports distribution network planners in designing reliable, sustainable
and cost-efficient distribution networks for future demands.
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
- first_name: Christoph
full_name: Weskamp, Christoph
last_name: Weskamp
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Kirchhoff J, Burmeister SC, Weskamp C, Engels G. Towards a Decision Support
System for Cross-Sectoral Energy Distribution Network Planning. In: Breitner MH,
Lehnhoff S, Nieße A, Staudt P, Weinhardt C, Werth O, eds. Energy Informatics
and Electro Mobility ICT. ; 2021.'
apa: Kirchhoff, J., Burmeister, S. C., Weskamp, C., & Engels, G. (2021). Towards
a Decision Support System for Cross-Sectoral Energy Distribution Network Planning.
In M. H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, & O. Werth
(Eds.), Energy Informatics and Electro Mobility ICT.
bibtex: '@inproceedings{Kirchhoff_Burmeister_Weskamp_Engels_2021, title={Towards
a Decision Support System for Cross-Sectoral Energy Distribution Network Planning},
booktitle={Energy Informatics and Electro Mobility ICT}, author={Kirchhoff, Jonas
and Burmeister, Sascha Christian and Weskamp, Christoph and Engels, Gregor}, editor={Breitner,
Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt,
Christof and Werth, Oliver}, year={2021} }'
chicago: Kirchhoff, Jonas, Sascha Christian Burmeister, Christoph Weskamp, and Gregor
Engels. “Towards a Decision Support System for Cross-Sectoral Energy Distribution
Network Planning.” In Energy Informatics and Electro Mobility ICT, edited
by Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof
Weinhardt, and Oliver Werth, 2021.
ieee: J. Kirchhoff, S. C. Burmeister, C. Weskamp, and G. Engels, “Towards a Decision
Support System for Cross-Sectoral Energy Distribution Network Planning,” in Energy
Informatics and Electro Mobility ICT, 2021.
mla: Kirchhoff, Jonas, et al. “Towards a Decision Support System for Cross-Sectoral
Energy Distribution Network Planning.” Energy Informatics and Electro Mobility
ICT, edited by Michael H. Breitner et al., 2021.
short: 'J. Kirchhoff, S.C. Burmeister, C. Weskamp, G. Engels, in: M.H. Breitner,
S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. Werth (Eds.), Energy Informatics
and Electro Mobility ICT, 2021.'
conference:
end_date: 2021-03-11
name: Pre-Conference 16. International Congress on Wirtschaftsinformatik Universität
Duisburg-Essen
start_date: 2021-03-08
date_created: 2021-01-28T10:05:44Z
date_updated: 2022-04-30T13:48:49Z
department:
- _id: '534'
- _id: '66'
- _id: '277'
editor:
- first_name: Michael H.
full_name: Breitner, Michael H.
last_name: Breitner
- first_name: Sebastian
full_name: Lehnhoff, Sebastian
last_name: Lehnhoff
- first_name: Astrid
full_name: Nieße, Astrid
last_name: Nieße
- first_name: Philipp
full_name: Staudt, Philipp
last_name: Staudt
- first_name: Christof
full_name: Weinhardt, Christof
last_name: Weinhardt
- first_name: Oliver
full_name: Werth, Oliver
last_name: Werth
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://oops.uni-oldenburg.de/5084/7/proceedings_ow_sto_2021.pdf#page=41
oa: '1'
publication: Energy Informatics and Electro Mobility ICT
status: public
title: Towards a Decision Support System for Cross-Sectoral Energy Distribution Network
Planning
type: conference
user_id: '39928'
year: '2021'
...
---
_id: '28199'
author:
- first_name: Felix
full_name: Pauck, Felix
id: '22398'
last_name: Pauck
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Pauck F, Wehrheim H. Jicer: Simplifying Cooperative Android App Analysis Tasks.
In: 2021 IEEE 21st International Working Conference on Source Code Analysis
and Manipulation (SCAM). ; 2021. doi:10.1109/scam52516.2021.00031'
apa: 'Pauck, F., & Wehrheim, H. (2021). Jicer: Simplifying Cooperative Android
App Analysis Tasks. 2021 IEEE 21st International Working Conference on Source
Code Analysis and Manipulation (SCAM). https://doi.org/10.1109/scam52516.2021.00031'
bibtex: '@inproceedings{Pauck_Wehrheim_2021, title={Jicer: Simplifying Cooperative
Android App Analysis Tasks}, DOI={10.1109/scam52516.2021.00031},
booktitle={2021 IEEE 21st International Working Conference on Source Code Analysis
and Manipulation (SCAM)}, author={Pauck, Felix and Wehrheim, Heike}, year={2021}
}'
chicago: 'Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android
App Analysis Tasks.” In 2021 IEEE 21st International Working Conference on
Source Code Analysis and Manipulation (SCAM), 2021. https://doi.org/10.1109/scam52516.2021.00031.'
ieee: 'F. Pauck and H. Wehrheim, “Jicer: Simplifying Cooperative Android App Analysis
Tasks,” 2021, doi: 10.1109/scam52516.2021.00031.'
mla: 'Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android
App Analysis Tasks.” 2021 IEEE 21st International Working Conference on Source
Code Analysis and Manipulation (SCAM), 2021, doi:10.1109/scam52516.2021.00031.'
short: 'F. Pauck, H. Wehrheim, in: 2021 IEEE 21st International Working Conference
on Source Code Analysis and Manipulation (SCAM), 2021.'
date_created: 2021-12-01T08:53:29Z
date_updated: 2022-11-17T14:26:19Z
department:
- _id: '77'
doi: 10.1109/scam52516.2021.00031
language:
- iso: eng
project:
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: 2021 IEEE 21st International Working Conference on Source Code Analysis
and Manipulation (SCAM)
publication_status: published
status: public
title: 'Jicer: Simplifying Cooperative Android App Analysis Tasks'
type: conference
user_id: '477'
year: '2021'
...
---
_id: '26645'
author:
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Fabian
full_name: Eidens, Fabian
id: '25078'
last_name: Eidens
- first_name: Raphael
full_name: Heitjohann, Raphael
last_name: Heitjohann
- first_name: Jeremy
full_name: Fell, Jeremy
last_name: Fell
citation:
ama: 'Bobolz J, Eidens F, Heitjohann R, Fell J. Cryptimeleon: A Library for Fast
Prototyping of Privacy-Preserving Cryptographic Schemes. Published online 2021.'
apa: 'Bobolz, J., Eidens, F., Heitjohann, R., & Fell, J. (2021). Cryptimeleon:
A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.
IACR eprint.'
bibtex: '@article{Bobolz_Eidens_Heitjohann_Fell_2021, title={Cryptimeleon: A Library
for Fast Prototyping of Privacy-Preserving Cryptographic Schemes}, publisher={IACR
eprint}, author={Bobolz, Jan and Eidens, Fabian and Heitjohann, Raphael and Fell,
Jeremy}, year={2021} }'
chicago: 'Bobolz, Jan, Fabian Eidens, Raphael Heitjohann, and Jeremy Fell. “Cryptimeleon:
A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR
eprint, 2021.'
ieee: 'J. Bobolz, F. Eidens, R. Heitjohann, and J. Fell, “Cryptimeleon: A Library
for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint,
2021.'
mla: 'Bobolz, Jan, et al. Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving
Cryptographic Schemes. IACR eprint, 2021.'
short: J. Bobolz, F. Eidens, R. Heitjohann, J. Fell, (2021).
date_created: 2021-10-21T07:51:32Z
date_updated: 2022-11-18T09:38:42Z
department:
- _id: '64'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2021/961
oa: '1'
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '82'
name: SFB 901 - Project Area T
- _id: '84'
name: SFB 901 -Subproject T2
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
publisher: IACR eprint
status: public
title: 'Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic
Schemes'
type: preprint
user_id: '477'
year: '2021'
...
---
_id: '33854'
abstract:
- lang: eng
text: "Macrodiversity is a key technique to increase the capacity of mobile networks.
It can be realized using coordinated multipoint (CoMP), simultaneously connecting
users to multiple overlapping cells. Selecting which users to serve by how many
and which cells is NP-hard but needs to happen continuously in real time as users
move and channel state changes. Existing approaches often require strict assumptions
about or perfect knowledge of the underlying radio system, its resource allocation
scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead,
we propose three novel self-learning and self-adapting approaches using model-free
deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages
central observations and control of all users to select cells almost optimally.
DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and
highly scalable coordination. All three approaches learn from experience and self-adapt
to varying scenarios, reaching 2x higher Quality of Experience than other approaches.
They have very few built-in assumptions and do not need prior system knowledge,
making them more robust to change and better applicable in practice than existing
approaches."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Artur
full_name: Hecker, Artur
last_name: Hecker
citation:
ama: 'Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint
Using Multi-Agent Deep Reinforcement Learning.; 2021.'
apa: 'Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP:
Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.'
bibtex: '@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated
Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider,
Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021}
}'
chicago: 'Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker.
DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning,
2021.'
ieee: 'S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated
Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.'
mla: 'Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using
Multi-Agent Deep Reinforcement Learning. 2021.'
short: 'S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint
Using Multi-Agent Deep Reinforcement Learning, 2021.'
date_created: 2022-10-20T16:44:19Z
date_updated: 2022-11-18T09:59:27Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2022-10-20T16:41:10Z
date_updated: 2022-10-20T16:41:10Z
file_id: '33855'
file_name: preprint.pdf
file_size: 2521656
relation: main_file
file_date_updated: 2022-10-20T16:41:10Z
has_accepted_license: '1'
keyword:
- mobility management
- coordinated multipoint
- CoMP
- cell selection
- resource management
- reinforcement learning
- multi agent
- MARL
- self-learning
- self-adaptation
- QoE
language:
- iso: eng
oa: '1'
project:
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
status: public
title: 'DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning'
type: working_paper
user_id: '477'
year: '2021'
...
---
_id: '29137'
author:
- first_name: Tim
full_name: Hansmeier, Tim
id: '49992'
last_name: Hansmeier
orcid: 0000-0003-1377-3339
citation:
ama: 'Hansmeier T. Self-aware Operation of Heterogeneous Compute Nodes using the
Learning Classifier System XCS. In: HEART ’21: Proceedings of the 11th International
Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.
Association for Computing Machinery (ACM); 2021. doi:10.1145/3468044.3468055'
apa: 'Hansmeier, T. (2021). Self-aware Operation of Heterogeneous Compute Nodes
using the Learning Classifier System XCS. HEART ’21: Proceedings of the 11th
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies
(HEART ’21), Online. https://doi.org/10.1145/3468044.3468055'
bibtex: '@inproceedings{Hansmeier_2021, place={New York, NY, United States}, title={Self-aware
Operation of Heterogeneous Compute Nodes using the Learning Classifier System
XCS}, DOI={10.1145/3468044.3468055},
booktitle={HEART ’21: Proceedings of the 11th International Symposium on Highly
Efficient Accelerators and Reconfigurable Technologies}, publisher={Association
for Computing Machinery (ACM)}, author={Hansmeier, Tim}, year={2021} }'
chicago: 'Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using
the Learning Classifier System XCS.” In HEART ’21: Proceedings of the 11th
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.
New York, NY, United States: Association for Computing Machinery (ACM), 2021.
https://doi.org/10.1145/3468044.3468055.'
ieee: 'T. Hansmeier, “Self-aware Operation of Heterogeneous Compute Nodes using
the Learning Classifier System XCS,” presented at the International Symposium
on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21),
Online, 2021, doi: 10.1145/3468044.3468055.'
mla: 'Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using
the Learning Classifier System XCS.” HEART ’21: Proceedings of the 11th International
Symposium on Highly Efficient Accelerators and Reconfigurable Technologies,
Association for Computing Machinery (ACM), 2021, doi:10.1145/3468044.3468055.'
short: 'T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium
on Highly Efficient Accelerators and Reconfigurable Technologies, Association
for Computing Machinery (ACM), New York, NY, United States, 2021.'
conference:
end_date: 2021-06-23
location: Online
name: International Symposium on Highly Efficient Accelerators and Reconfigurable
Technologies (HEART ’21)
start_date: 2021-06-21
date_created: 2021-12-27T12:01:02Z
date_updated: 2022-11-18T10:03:24Z
department:
- _id: '78'
doi: 10.1145/3468044.3468055
language:
- iso: eng
place: New York, NY, United States
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '14'
name: 'SFB 901 - C2: SFB 901 - Subproject C2'
publication: 'HEART ''21: Proceedings of the 11th International Symposium on Highly
Efficient Accelerators and Reconfigurable Technologies'
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier
System XCS
type: conference
user_id: '477'
year: '2021'
...
---
_id: '28683'
abstract:
- lang: ger
text: "In den letzten Jahren haben sich Software-Ökosysteme als neue, erfolgreiche
Geschäftsform etabliert. Unternehmen agieren hierbei als Anbieter von Software-Plattformen,
auf denen Drittanbieter Softwarelösungen für den Markt anbieten können. Etablierte
Beispiele sind hierbei sogenannte App-Stores, die z.B. von Google oder Apple angeboten
werden.\r\n\r\nBeim Aufbau von Software-Ökosystemen müssen vom Plattformanbieter
viele architektonische Entwurfsentscheidungen getroffen werden. Bisher gibt es
keine Architekturrichtlinien und -werkzeuge, die den Entwurf einer Ökosystemarchitektur
unterstützen. Dadurch fehlt hier systematisches, wiederverwendbares Wissen. Plattformanbieter
müssen auf ad-hoc Entscheidungen zurückgreifen. Dies kann dann zu Problemen im
Betrieb der Software-Plattformen führen, zu erhöhten Ausfallrisiken und Mehrkosten.\r\n\r\nDer
Mangel an Architekturwissen manifestiert sich konkret in zwei Gruppen von Herausforderungen:
Erstens fehlt eine Wissensbasis zu Architekturalternativen und zweitens fehlt
es an methodischem Wissen zu Entwicklung und Betrieb von Software-Ökosystemen.
Eine Architekturwissensbasis würde Orientierungshilfen zu den Bestandteilen von
Software-Ökosystemen und deren Abhängigkeiten geben, während methodisches Wissen
die Erstellung dieser Systeme erleichtern würde.\r\n\r\nIn der Dissertation werden
diese Herausforderungen durch die Entwicklung des Frameworks SecoArc für die Modellierung
von Software-Ökosystemen angegangen. Der Beitrag der Dissertation ist zweifach:
\r\n1.\tDas SecoArc-Framework umfasst eine Architekturwissensbasis, die wiederverwendbare
Architekturentwurfsentscheidungen\r\nvon Software-Ökosystemen enthält. Die Wissensbasis
wurde entwickelt, indem das Architekturwissen bestehender Ökosysteme sowie aus
existierender Fachliteratur ermittelt wurde und in einer Produktlinie für Software-Ökosysteme
konsolidiert wurde. Die Produktlinie umfasst architektonische Gemeinsamkeiten
und Variabilitäten von Software-Ökosystemen. \r\n2.\tDas SecoArc-Framework liefert
methodisches Wissen, um die Ökosystemarchitektur in Modellen zu entwerfen und
zu analysieren. Dieses Wissen wurde entwickelt, indem drei Architekturmuster identifiziert
wurden. Jedes Muster erfasst unterschiedliche Beziehungen zwischen architektonischen
Entwurfsentscheidungen zu den Qualitätsmerkmalen einer Ökosystemgesundheit und
der Erreichung von Geschäftszielen. \r\n\r\nDie Architekturmuster und die Produktlinie
wurden dazu genutzt, ein Modellierungsframework zu entwickeln und in Form eines
Prototypen umzusetzen, welches einen Entwurfsprozess, eine Modellierungssprache
und eine Architekturanalysetechnik umfasst. Es erleichtert das Modellieren, Analysieren
und Vergleichen von Ökosystemarchitekturen.\r\n\r\nDie Ergebnisse der Dissertation
wurden im Rahmen von zwei Studien evaluiert. In der ersten Validierungsstudie
wurden das Framework sowie der Prototyp verwendet, um zwei alternative Ökosystemarchitekturen
zu entwerfen und zu analysieren. In der zweiten Studie wurde eine Analyse von
existierenden Ökosystemen basierend auf den architektonischen Variabilitäten des
Frameworks durchgeführt."
author:
- first_name: Bahar
full_name: Schwichtenberg, Bahar
id: '36399'
last_name: Schwichtenberg
citation:
ama: Schwichtenberg B. Modeling and Analyzing Software Ecosystems.; 2021.
doi:10.17619/UNIPB/1-1270
apa: Schwichtenberg, B. (2021). Modeling and Analyzing Software Ecosystems.
https://doi.org/10.17619/UNIPB/1-1270
bibtex: '@book{Schwichtenberg_2021, title={Modeling and Analyzing Software Ecosystems},
DOI={10.17619/UNIPB/1-1270 },
author={Schwichtenberg, Bahar}, year={2021} }'
chicago: Schwichtenberg, Bahar. Modeling and Analyzing Software Ecosystems,
2021. https://doi.org/10.17619/UNIPB/1-1270
.
ieee: B. Schwichtenberg, Modeling and Analyzing Software Ecosystems. 2021.
mla: Schwichtenberg, Bahar. Modeling and Analyzing Software Ecosystems. 2021,
doi:10.17619/UNIPB/1-1270 .
short: B. Schwichtenberg, Modeling and Analyzing Software Ecosystems, 2021.
date_created: 2021-12-13T07:20:33Z
date_updated: 2022-12-30T22:15:37Z
ddc:
- '000'
department:
- _id: '66'
doi: '10.17619/UNIPB/1-1270 '
file:
- access_level: closed
content_type: application/pdf
creator: bahareh
date_created: 2022-12-30T22:15:15Z
date_updated: 2022-12-30T22:15:15Z
file_id: '35069'
file_name: Bahar_Schwichtenberg_Thesis.pdf
file_size: 9125342
relation: main_file
success: 1
file_date_updated: 2022-12-30T22:15:15Z
has_accepted_license: '1'
keyword:
- Enterprise Architecture
- Architectural Design Decisions
- Open Platforms
language:
- iso: eng
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
- _id: '1'
name: 'SFB 901: SFB 901'
status: public
supervisor:
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
title: Modeling and Analyzing Software Ecosystems
type: dissertation
user_id: '36399'
year: '2021'
...
---
_id: '26986'
author:
- first_name: Jannik
full_name: Castenow, Jannik
id: '38705'
last_name: Castenow
- first_name: Thorsten
full_name: Götte, Thorsten
id: '34727'
last_name: Götte
- first_name: Till
full_name: Knollmann, Till
id: '39241'
last_name: Knollmann
orcid: 0000-0003-2014-4696
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
citation:
ama: 'Castenow J, Götte T, Knollmann T, Meyer auf der Heide F. The Max-Line-Formation
Problem – And New Insights for Gathering and Chain-Formation. In: Johnen C, Schiller
EM, Schmid S, eds. Proceedings of the 23rd International Symposium on Stabilization,
Safety, and Security of Distributed Systems, SSS 2021. Vol 13046. LNCS. Springer;
2021:289-304. doi:10.1007/978-3-030-91081-5_19'
apa: Castenow, J., Götte, T., Knollmann, T., & Meyer auf der Heide, F. (2021).
The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation.
In C. Johnen, E. M. Schiller, & S. Schmid (Eds.), Proceedings of the 23rd
International Symposium on Stabilization, Safety, and Security of Distributed
Systems, SSS 2021 (Vol. 13046, pp. 289–304). Springer. https://doi.org/10.1007/978-3-030-91081-5_19
bibtex: '@inproceedings{Castenow_Götte_Knollmann_Meyer auf der Heide_2021, series={LNCS},
title={The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation},
volume={13046}, DOI={10.1007/978-3-030-91081-5_19},
booktitle={Proceedings of the 23rd International Symposium on Stabilization, Safety,
and Security of Distributed Systems, SSS 2021}, publisher={Springer}, author={Castenow,
Jannik and Götte, Thorsten and Knollmann, Till and Meyer auf der Heide, Friedhelm},
editor={Johnen, C. and Schiller, E.M. and Schmid, S.}, year={2021}, pages={289–304},
collection={LNCS} }'
chicago: Castenow, Jannik, Thorsten Götte, Till Knollmann, and Friedhelm Meyer auf
der Heide. “The Max-Line-Formation Problem – And New Insights for Gathering and
Chain-Formation.” In Proceedings of the 23rd International Symposium on Stabilization,
Safety, and Security of Distributed Systems, SSS 2021, edited by C. Johnen,
E.M. Schiller, and S. Schmid, 13046:289–304. LNCS. Springer, 2021. https://doi.org/10.1007/978-3-030-91081-5_19.
ieee: 'J. Castenow, T. Götte, T. Knollmann, and F. Meyer auf der Heide, “The Max-Line-Formation
Problem – And New Insights for Gathering and Chain-Formation,” in Proceedings
of the 23rd International Symposium on Stabilization, Safety, and Security of
Distributed Systems, SSS 2021, Online, 2021, vol. 13046, pp. 289–304, doi:
10.1007/978-3-030-91081-5_19.'
mla: Castenow, Jannik, et al. “The Max-Line-Formation Problem – And New Insights
for Gathering and Chain-Formation.” Proceedings of the 23rd International Symposium
on Stabilization, Safety, and Security of Distributed Systems, SSS 2021, edited
by C. Johnen et al., vol. 13046, Springer, 2021, pp. 289–304, doi:10.1007/978-3-030-91081-5_19.
short: 'J. Castenow, T. Götte, T. Knollmann, F. Meyer auf der Heide, in: C. Johnen,
E.M. Schiller, S. Schmid (Eds.), Proceedings of the 23rd International Symposium
on Stabilization, Safety, and Security of Distributed Systems, SSS 2021, Springer,
2021, pp. 289–304.'
conference:
end_date: 2021-11-20
location: Online
name: 23rd International Symposium on Stabilization, Safety, and Security of Distributed
Systems
start_date: 2021-11-17
date_created: 2021-10-28T07:01:30Z
date_updated: 2022-01-07T15:24:10Z
department:
- _id: '63'
doi: 10.1007/978-3-030-91081-5_19
editor:
- first_name: C.
full_name: Johnen, C.
last_name: Johnen
- first_name: E.M.
full_name: Schiller, E.M.
last_name: Schiller
- first_name: S.
full_name: Schmid, S.
last_name: Schmid
external_id:
arxiv:
- '2109.11856'
intvolume: ' 13046'
language:
- iso: eng
page: '289-304 '
project:
- _id: '106'
name: 'Algorithmen für Schwarmrobotik: Verteiltes Rechnen trifft Dynamische Systeme'
publication: Proceedings of the 23rd International Symposium on Stabilization, Safety,
and Security of Distributed Systems, SSS 2021
publication_status: published
publisher: Springer
series_title: LNCS
status: public
title: The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation
type: conference
user_id: '38705'
volume: 13046
year: '2021'
...
---
_id: '29486'
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. GATES: Using Graph Attention
Networks for Entity Summarization. In: Proceedings of the 11th on Knowledge
Capture Conference. ACM; 2021:73–80. doi:10.1145/3460210.3493574'
apa: 'Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2021). GATES:
Using Graph Attention Networks for Entity Summarization. Proceedings of the
11th on Knowledge Capture Conference, 73–80. https://doi.org/10.1145/3460210.3493574'
bibtex: '@inproceedings{Firmansyah_Moussallem_Ngonga Ngomo_2021, place={Virtual
Event, USA}, title={GATES: Using Graph Attention Networks for Entity Summarization},
DOI={10.1145/3460210.3493574},
booktitle={Proceedings of the 11th on Knowledge Capture Conference}, publisher={ACM},
author={Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille},
year={2021}, pages={73–80} }'
chicago: 'Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo.
“GATES: Using Graph Attention Networks for Entity Summarization.” In Proceedings
of the 11th on Knowledge Capture Conference, 73–80. Virtual Event, USA: ACM,
2021. https://doi.org/10.1145/3460210.3493574.'
ieee: 'A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “GATES: Using Graph
Attention Networks for Entity Summarization,” in Proceedings of the 11th on
Knowledge Capture Conference, 2021, pp. 73–80, doi: 10.1145/3460210.3493574.'
mla: 'Firmansyah, Asep Fajar, et al. “GATES: Using Graph Attention Networks for
Entity Summarization.” Proceedings of the 11th on Knowledge Capture Conference,
ACM, 2021, pp. 73–80, doi:10.1145/3460210.3493574.'
short: 'A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Proceedings of the
11th on Knowledge Capture Conference, ACM, Virtual Event, USA, 2021, pp. 73–80.'
date_created: 2022-01-20T08:37:12Z
date_updated: 2022-01-20T09:03:38Z
department:
- _id: '574'
doi: 10.1145/3460210.3493574
language:
- iso: eng
page: 73–80
place: Virtual Event, USA
publication: Proceedings of the 11th on Knowledge Capture Conference
publication_identifier:
isbn:
- 978-1-4503-8457-5
publication_status: published
publisher: ACM
status: public
title: 'GATES: Using Graph Attention Networks for Entity Summarization'
type: conference
user_id: '76787'
year: '2021'
...
---
_id: '29566'
author:
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Fabian
full_name: Eidens, Fabian
id: '25078'
last_name: Eidens
- first_name: Stephan
full_name: Krenn, Stephan
last_name: Krenn
- first_name: Sebastian
full_name: Ramacher, Sebastian
last_name: Ramacher
- first_name: Kai
full_name: Samelin, Kai
last_name: Samelin
citation:
ama: 'Bobolz J, Eidens F, Krenn S, Ramacher S, Samelin K. Issuer-Hiding Attribute-Based
Credentials. In: Cryptology and Network Security. Springer International
Publishing; 2021. doi:10.1007/978-3-030-92548-2_9'
apa: Bobolz, J., Eidens, F., Krenn, S., Ramacher, S., & Samelin, K. (2021).
Issuer-Hiding Attribute-Based Credentials. Cryptology and Network Security.
https://doi.org/10.1007/978-3-030-92548-2_9
bibtex: '@inproceedings{Bobolz_Eidens_Krenn_Ramacher_Samelin_2021, place={Cham},
title={Issuer-Hiding Attribute-Based Credentials}, DOI={10.1007/978-3-030-92548-2_9},
booktitle={Cryptology and Network Security}, publisher={Springer International
Publishing}, author={Bobolz, Jan and Eidens, Fabian and Krenn, Stephan and Ramacher,
Sebastian and Samelin, Kai}, year={2021} }'
chicago: 'Bobolz, Jan, Fabian Eidens, Stephan Krenn, Sebastian Ramacher, and Kai
Samelin. “Issuer-Hiding Attribute-Based Credentials.” In Cryptology and Network
Security. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-92548-2_9.'
ieee: 'J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, and K. Samelin, “Issuer-Hiding
Attribute-Based Credentials,” 2021, doi: 10.1007/978-3-030-92548-2_9.'
mla: Bobolz, Jan, et al. “Issuer-Hiding Attribute-Based Credentials.” Cryptology
and Network Security, Springer International Publishing, 2021, doi:10.1007/978-3-030-92548-2_9.
short: 'J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, K. Samelin, in: Cryptology
and Network Security, Springer International Publishing, Cham, 2021.'
date_created: 2022-01-27T13:00:21Z
date_updated: 2022-01-27T13:02:23Z
department:
- _id: '7'
- _id: '64'
doi: 10.1007/978-3-030-92548-2_9
language:
- iso: eng
place: Cham
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
publication: Cryptology and Network Security
publication_identifier:
isbn:
- '9783030925475'
- '9783030925482'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: Issuer-Hiding Attribute-Based Credentials
type: conference
user_id: '27207'
year: '2021'
...
---
_id: '28463'
author:
- first_name: Simon
full_name: Hanisch, Simon
last_name: Hanisch
- first_name: Patricia
full_name: Arias Cabarcos, Patricia
id: '92804'
last_name: Arias Cabarcos
- first_name: Javier
full_name: Parra-Arnau, Javier
last_name: Parra-Arnau
- first_name: Thorsten
full_name: Strufe, Thorsten
last_name: Strufe
citation:
ama: 'Hanisch S, Arias Cabarcos P, Parra-Arnau J, Strufe T. Privacy-Protecting Techniques
for Behavioral Data: A Survey. CoRR. 2021;abs/2109.04120.'
apa: 'Hanisch, S., Arias Cabarcos, P., Parra-Arnau, J., & Strufe, T. (2021).
Privacy-Protecting Techniques for Behavioral Data: A Survey. CoRR, abs/2109.04120.'
bibtex: '@article{Hanisch_Arias Cabarcos_Parra-Arnau_Strufe_2021, title={Privacy-Protecting
Techniques for Behavioral Data: A Survey}, volume={abs/2109.04120}, journal={CoRR},
author={Hanisch, Simon and Arias Cabarcos, Patricia and Parra-Arnau, Javier and
Strufe, Thorsten}, year={2021} }'
chicago: 'Hanisch, Simon, Patricia Arias Cabarcos, Javier Parra-Arnau, and Thorsten
Strufe. “Privacy-Protecting Techniques for Behavioral Data: A Survey.” CoRR
abs/2109.04120 (2021).'
ieee: 'S. Hanisch, P. Arias Cabarcos, J. Parra-Arnau, and T. Strufe, “Privacy-Protecting
Techniques for Behavioral Data: A Survey,” CoRR, vol. abs/2109.04120, 2021.'
mla: 'Hanisch, Simon, et al. “Privacy-Protecting Techniques for Behavioral Data:
A Survey.” CoRR, vol. abs/2109.04120, 2021.'
short: S. Hanisch, P. Arias Cabarcos, J. Parra-Arnau, T. Strufe, CoRR abs/2109.04120
(2021).
date_created: 2021-12-08T19:13:24Z
date_updated: 2022-01-27T17:02:27Z
department:
- _id: '679'
extern: '1'
language:
- iso: eng
publication: CoRR
status: public
title: 'Privacy-Protecting Techniques for Behavioral Data: A Survey'
type: journal_article
user_id: '92804'
volume: abs/2109.04120
year: '2021'
...