---
_id: '28374'
author:
- first_name: Lukas
full_name: Bretz, Lukas
last_name: Bretz
citation:
ama: Bretz L. Rahmenwerk zur Planung und Einführung von Systems Engineering und
Model-Based Systems Engineering. Vol 401. Verlagsschriftenreihe des Heinz
Nixdorf Instituts, Paderborn; 2021.
apa: Bretz, L. (2021). Rahmenwerk zur Planung und Einführung von Systems Engineering
und Model-Based Systems Engineering (Vol. 401). Verlagsschriftenreihe des
Heinz Nixdorf Instituts, Paderborn.
bibtex: '@book{Bretz_2021, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts,
Paderborn}, title={Rahmenwerk zur Planung und Einführung von Systems Engineering
und Model-Based Systems Engineering}, volume={401}, publisher={Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn}, author={Bretz, Lukas}, year={2021}, collection={Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn} }'
chicago: Bretz, Lukas. Rahmenwerk zur Planung und Einführung von Systems Engineering
und Model-Based Systems Engineering. Vol. 401. Verlagsschriftenreihe des Heinz
Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf Instituts,
Paderborn, 2021.
ieee: L. Bretz, Rahmenwerk zur Planung und Einführung von Systems Engineering
und Model-Based Systems Engineering, vol. 401. Verlagsschriftenreihe des Heinz
Nixdorf Instituts, Paderborn, 2021.
mla: Bretz, Lukas. Rahmenwerk zur Planung und Einführung von Systems Engineering
und Model-Based Systems Engineering. Verlagsschriftenreihe des Heinz Nixdorf
Instituts, Paderborn, 2021.
short: L. Bretz, Rahmenwerk zur Planung und Einführung von Systems Engineering und
Model-Based Systems Engineering, Verlagsschriftenreihe des Heinz Nixdorf Instituts,
Paderborn, 2021.
date_created: 2021-12-07T13:46:08Z
date_updated: 2022-01-06T06:58:02Z
department:
- _id: '26'
intvolume: ' 401'
language:
- iso: ger
publication_identifier:
isbn:
- 978-3-947647-20-0
publication_status: published
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
status: public
title: Rahmenwerk zur Planung und Einführung von Systems Engineering und Model-Based
Systems Engineering
type: dissertation
user_id: '60046'
volume: 401
year: '2021'
...
---
_id: '27087'
author:
- first_name: Stefan
full_name: Gabriel, Stefan
last_name: Gabriel
- first_name: Nadine
full_name: Niewöhner, Nadine
last_name: Niewöhner
- first_name: Laban
full_name: Asmar, Laban
last_name: Asmar
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Gabriel S, Niewöhner N, Asmar L, Kühn A, Dumitrescu R. Integration of agile
practices in the product development process of intelligent technical systems.
In: Procedia CIRP. Vol 100. Elsevier; 2021:427-432.'
apa: Gabriel, S., Niewöhner, N., Asmar, L., Kühn, A., & Dumitrescu, R. (2021).
Integration of agile practices in the product development process of intelligent
technical systems. Procedia CIRP, 100, 427–432.
bibtex: '@inproceedings{Gabriel_Niewöhner_Asmar_Kühn_Dumitrescu_2021, title={Integration
of agile practices in the product development process of intelligent technical
systems}, volume={100}, booktitle={Procedia CIRP}, publisher={Elsevier}, author={Gabriel,
Stefan and Niewöhner, Nadine and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman},
year={2021}, pages={427–432} }'
chicago: Gabriel, Stefan, Nadine Niewöhner, Laban Asmar, Arno Kühn, and Roman Dumitrescu.
“Integration of Agile Practices in the Product Development Process of Intelligent
Technical Systems.” In Procedia CIRP, 100:427–32. Elsevier, 2021.
ieee: S. Gabriel, N. Niewöhner, L. Asmar, A. Kühn, and R. Dumitrescu, “Integration
of agile practices in the product development process of intelligent technical
systems,” in Procedia CIRP, 2021, vol. 100, pp. 427–432.
mla: Gabriel, Stefan, et al. “Integration of Agile Practices in the Product Development
Process of Intelligent Technical Systems.” Procedia CIRP, vol. 100, Elsevier,
2021, pp. 427–32.
short: 'S. Gabriel, N. Niewöhner, L. Asmar, A. Kühn, R. Dumitrescu, in: Procedia
CIRP, Elsevier, 2021, pp. 427–432.'
date_created: 2021-11-03T09:40:59Z
date_updated: 2022-01-06T06:57:33Z
department:
- _id: '563'
- _id: '26'
intvolume: ' 100'
language:
- iso: eng
page: 427-432
publication: Procedia CIRP
publication_status: published
publisher: Elsevier
status: public
title: Integration of agile practices in the product development process of intelligent
technical systems
type: conference
user_id: '14931'
volume: 100
year: '2021'
...
---
_id: '27094'
author:
- first_name: Carsten
full_name: Wiecher, Carsten
last_name: Wiecher
- first_name: Joel
full_name: Greenyer, Joel
last_name: Greenyer
- first_name: Carsten
full_name: Wolff, Carsten
last_name: Wolff
- first_name: Harald
full_name: Anacker, Harald
last_name: Anacker
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Wiecher C, Greenyer J, Wolff C, Anacker H, Dumitrescu R. Iterative and Scenario-Based
Requirements Specification in a System of Systems Context. In: Dalpiaz F, Spoletini
P, eds. Requirements Engineering: Foundation for Software Quality, REFSQ 2021.
Springer Nature Switzerland AG; 2021.'
apa: 'Wiecher, C., Greenyer, J., Wolff, C., Anacker, H., & Dumitrescu, R. (2021).
Iterative and Scenario-Based Requirements Specification in a System of Systems
Context. In F. Dalpiaz & P. Spoletini (Eds.), Requirements Engineering:
Foundation for Software Quality, REFSQ 2021. Springer Nature Switzerland AG.'
bibtex: '@inproceedings{Wiecher_Greenyer_Wolff_Anacker_Dumitrescu_2021, place={
Cham, Switzerland}, title={Iterative and Scenario-Based Requirements Specification
in a System of Systems Context}, booktitle={Requirements Engineering: Foundation
for Software Quality, REFSQ 2021}, publisher={Springer Nature Switzerland AG},
author={Wiecher, Carsten and Greenyer, Joel and Wolff, Carsten and Anacker, Harald
and Dumitrescu, Roman}, editor={Dalpiaz, Fabiano and Spoletini, Paola}, year={2021}
}'
chicago: 'Wiecher, Carsten, Joel Greenyer, Carsten Wolff, Harald Anacker, and Roman
Dumitrescu. “Iterative and Scenario-Based Requirements Specification in a System
of Systems Context.” In Requirements Engineering: Foundation for Software Quality,
REFSQ 2021, edited by Fabiano Dalpiaz and Paola Spoletini. Cham, Switzerland:
Springer Nature Switzerland AG, 2021.'
ieee: 'C. Wiecher, J. Greenyer, C. Wolff, H. Anacker, and R. Dumitrescu, “Iterative
and Scenario-Based Requirements Specification in a System of Systems Context,”
in Requirements Engineering: Foundation for Software Quality, REFSQ 2021,
Essen, 2021.'
mla: 'Wiecher, Carsten, et al. “Iterative and Scenario-Based Requirements Specification
in a System of Systems Context.” Requirements Engineering: Foundation for Software
Quality, REFSQ 2021, edited by Fabiano Dalpiaz and Paola Spoletini, Springer
Nature Switzerland AG, 2021.'
short: 'C. Wiecher, J. Greenyer, C. Wolff, H. Anacker, R. Dumitrescu, in: F. Dalpiaz,
P. Spoletini (Eds.), Requirements Engineering: Foundation for Software Quality,
REFSQ 2021, Springer Nature Switzerland AG, Cham, Switzerland, 2021.'
conference:
end_date: 2021-04-15
location: Essen
name: 27th International Working Conference
start_date: 2021-04-12
date_created: 2021-11-03T09:52:34Z
date_updated: 2022-01-06T06:57:33Z
department:
- _id: '563'
- _id: '26'
editor:
- first_name: Fabiano
full_name: Dalpiaz, Fabiano
last_name: Dalpiaz
- first_name: Paola
full_name: Spoletini, Paola
last_name: Spoletini
language:
- iso: eng
place: ' Cham, Switzerland'
publication: 'Requirements Engineering: Foundation for Software Quality, REFSQ 2021'
publication_status: published
publisher: Springer Nature Switzerland AG
status: public
title: Iterative and Scenario-Based Requirements Specification in a System of Systems
Context
type: conference
user_id: '14931'
year: '2021'
...
---
_id: '21004'
abstract:
- lang: eng
text: 'Automated machine learning (AutoML) supports the algorithmic construction
and data-specific customization of machine learning pipelines, including the selection,
combination, and parametrization of machine learning algorithms as main constituents.
Generally speaking, AutoML approaches comprise two major components: a search
space model and an optimizer for traversing the space. Recent approaches have
shown impressive results in the realm of supervised learning, most notably (single-label)
classification (SLC). Moreover, first attempts at extending these approaches towards
multi-label classification (MLC) have been made. While the space of candidate
pipelines is already huge in SLC, the complexity of the search space is raised
to an even higher power in MLC. One may wonder, therefore, whether and to what
extent optimizers established for SLC can scale to this increased complexity,
and how they compare to each other. This paper makes the following contributions:
First, we survey existing approaches to AutoML for MLC. Second, we augment these
approaches with optimizers not previously tried for MLC. Third, we propose a benchmarking
framework that supports a fair and systematic comparison. Fourth, we conduct an
extensive experimental study, evaluating the methods on a suite of MLC problems.
We find a grammar-based best-first search to compare favorably to other optimizers.'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification:
Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and
Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276'
apa: 'Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML
for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions
on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276'
bibtex: '@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label
Classification: Overview and Empirical Evaluation}, DOI={10.1109/tpami.2021.3051276},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Wever,
Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke},
year={2021}, pages={1–1} }'
chicago: 'Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier.
“AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE
Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.'
ieee: 'M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label
Classification: Overview and Empirical Evaluation,” IEEE Transactions on Pattern
Analysis and Machine Intelligence, pp. 1–1, 2021, doi: 10.1109/tpami.2021.3051276.'
mla: 'Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview
and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine
Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.'
short: M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern
Analysis and Machine Intelligence (2021) 1–1.
date_created: 2021-01-16T14:48:13Z
date_updated: 2022-01-06T06:54:42Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
doi: 10.1109/tpami.2021.3051276
keyword:
- Automated Machine Learning
- Multi Label Classification
- Hierarchical Planning
- Bayesian Optimization
language:
- iso: eng
page: 1-1
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_identifier:
issn:
- 0162-8828
- 2160-9292
- 1939-3539
publication_status: published
status: public
title: 'AutoML for Multi-Label Classification: Overview and Empirical Evaluation'
type: journal_article
user_id: '5786'
year: '2021'
...
---
_id: '21092'
abstract:
- lang: eng
text: "Automated Machine Learning (AutoML) seeks to automatically find so-called
machine learning pipelines that maximize the prediction performance when being
used to train a model on a given dataset. One of the main and yet open challenges
in AutoML is an effective use of computational resources: An AutoML process involves
the evaluation of many candidate pipelines, which are costly but often ineffective
because they are canceled due to a timeout.\r\nIn this paper, we present an approach
to predict the runtime of two-step machine learning pipelines with up to one pre-processor,
which can be used to anticipate whether or not a pipeline will time out. Separate
runtime models are trained offline for each algorithm that may be used in a pipeline,
and an overall prediction is derived from these models. We empirically show that
the approach increases successful evaluations made by an AutoML tool while preserving
or even improving on the previously best solutions."
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Mohr F, Wever MD, Tornede A, Hüllermeier E. Predicting Machine Learning Pipeline
Runtimes in the Context of Automated Machine Learning. IEEE Transactions on
Pattern Analysis and Machine Intelligence.
apa: Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (n.d.). Predicting
Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
bibtex: '@article{Mohr_Wever_Tornede_Hüllermeier, title={Predicting Machine Learning
Pipeline Runtimes in the Context of Automated Machine Learning}, journal={IEEE
Transactions on Pattern Analysis and Machine Intelligence}, publisher={IEEE},
author={Mohr, Felix and Wever, Marcel Dominik and Tornede, Alexander and Hüllermeier,
Eyke} }'
chicago: Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier.
“Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine
Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence,
n.d.
ieee: F. Mohr, M. D. Wever, A. Tornede, and E. Hüllermeier, “Predicting Machine
Learning Pipeline Runtimes in the Context of Automated Machine Learning,” IEEE
Transactions on Pattern Analysis and Machine Intelligence.
mla: Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context
of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine
Intelligence, IEEE.
short: F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, IEEE Transactions on Pattern
Analysis and Machine Intelligence (n.d.).
date_created: 2021-01-27T13:45:52Z
date_updated: 2022-01-06T06:54:45Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_status: accepted
publisher: IEEE
status: public
title: Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine
Learning
type: journal_article
user_id: '5786'
year: '2021'
...
---
_id: '21570'
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: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Tornede T, Tornede A, Wever MD, Hüllermeier E. Coevolution of Remaining Useful
Lifetime Estimation Pipelines for Automated Predictive Maintenance. In: Proceedings
of the Genetic and Evolutionary Computation Conference. ; 2021.'
apa: Tornede, T., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021). Coevolution
of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.
Proceedings of the Genetic and Evolutionary Computation Conference. Genetic
and Evolutionary Computation Conference.
bibtex: '@inproceedings{Tornede_Tornede_Wever_Hüllermeier_2021, title={Coevolution
of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
author={Tornede, Tanja and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier,
Eyke}, year={2021} }'
chicago: Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier.
“Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive
Maintenance.” In Proceedings of the Genetic and Evolutionary Computation Conference,
2021.
ieee: T. Tornede, A. Tornede, M. D. Wever, and E. Hüllermeier, “Coevolution of Remaining
Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance,” presented
at the Genetic and Evolutionary Computation Conference, 2021.
mla: Tornede, Tanja, et al. “Coevolution of Remaining Useful Lifetime Estimation
Pipelines for Automated Predictive Maintenance.” Proceedings of the Genetic
and Evolutionary Computation Conference, 2021.
short: 'T. Tornede, A. Tornede, M.D. Wever, E. Hüllermeier, in: Proceedings of the
Genetic and Evolutionary Computation Conference, 2021.'
conference:
end_date: 2021-07-14
name: Genetic and Evolutionary Computation Conference
start_date: 2021-07-10
date_created: 2021-03-26T09:14:19Z
date_updated: 2022-01-06T06:55:06Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the Genetic and Evolutionary Computation Conference
status: public
title: Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated
Predictive Maintenance
type: conference
user_id: '5786'
year: '2021'
...
---
_id: '23458'
author:
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Albert
full_name: Albers, Albert
last_name: Albers
- first_name: Jürgen
full_name: Gausemeier, Jürgen
id: '163'
last_name: Gausemeier
- first_name: Oliver
full_name: Riedel, Oliver
last_name: Riedel
- first_name: Rainer
full_name: Stark, Rainer
last_name: Stark
citation:
ama: Dumitrescu R, Albers A, Gausemeier J, Riedel O, Stark R. Engineering in
Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced
Systems Engineering. Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM,
Paderborn; 2021.
apa: Dumitrescu, R., Albers, A., Gausemeier, J., Riedel, O., & Stark, R. (2021).
Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein
Beitrag zum Advanced Systems Engineering. Fraunhofer-Institut für Entwurfstechnik
Mechatronik IEM, Paderborn.
bibtex: '@book{Dumitrescu_Albers_Gausemeier_Riedel_Stark_2021, title={Engineering
in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced
Systems Engineering}, publisher={Fraunhofer-Institut für Entwurfstechnik Mechatronik
IEM, Paderborn}, author={Dumitrescu, Roman and Albers, Albert and Gausemeier,
Jürgen and Riedel, Oliver and Stark, Rainer}, year={2021} }'
chicago: Dumitrescu, Roman, Albert Albers, Jürgen Gausemeier, Oliver Riedel, and
Rainer Stark. Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft.
Ein Beitrag zum Advanced Systems Engineering. Fraunhofer-Institut für Entwurfstechnik
Mechatronik IEM, Paderborn, 2021.
ieee: R. Dumitrescu, A. Albers, J. Gausemeier, O. Riedel, and R. Stark, Engineering
in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced
Systems Engineering. Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM,
Paderborn, 2021.
mla: Dumitrescu, Roman, et al. Engineering in Deutschland – Status quo in Wirtschaft
und Wissenschaft. Ein Beitrag zum Advanced Systems Engineering. Fraunhofer-Institut
für Entwurfstechnik Mechatronik IEM, Paderborn, 2021.
short: R. Dumitrescu, A. Albers, J. Gausemeier, O. Riedel, R. Stark, Engineering
in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein Beitrag zum Advanced
Systems Engineering, Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM,
Paderborn, 2021.
date_created: 2021-08-20T08:12:46Z
date_updated: 2022-01-06T06:55:55Z
department:
- _id: '563'
- _id: '26'
language:
- iso: ger
publication_status: published
publisher: Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM, Paderborn
status: public
title: Engineering in Deutschland – Status quo in Wirtschaft und Wissenschaft. Ein
Beitrag zum Advanced Systems Engineering
type: book
user_id: '15782'
year: '2021'
...
---
_id: '22913'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: 'Hüllermeier E, Mohr F, Tornede A, Wever MD. Automated Machine Learning, Bounded
Rationality, and Rational Metareasoning. In: ; 2021.'
apa: Hüllermeier, E., Mohr, F., Tornede, A., & Wever, M. D. (2021). Automated
Machine Learning, Bounded Rationality, and Rational Metareasoning. ECML/PKDD
Workshop on Automating Data Science, Bilbao (Virtual).
bibtex: '@inproceedings{Hüllermeier_Mohr_Tornede_Wever_2021, title={Automated Machine
Learning, Bounded Rationality, and Rational Metareasoning}, author={Hüllermeier,
Eyke and Mohr, Felix and Tornede, Alexander and Wever, Marcel Dominik}, year={2021}
}'
chicago: Hüllermeier, Eyke, Felix Mohr, Alexander Tornede, and Marcel Dominik Wever.
“Automated Machine Learning, Bounded Rationality, and Rational Metareasoning,”
2021.
ieee: E. Hüllermeier, F. Mohr, A. Tornede, and M. D. Wever, “Automated Machine Learning,
Bounded Rationality, and Rational Metareasoning,” presented at the ECML/PKDD Workshop
on Automating Data Science, Bilbao (Virtual), 2021.
mla: Hüllermeier, Eyke, et al. Automated Machine Learning, Bounded Rationality,
and Rational Metareasoning. 2021.
short: 'E. Hüllermeier, F. Mohr, A. Tornede, M.D. Wever, in: 2021.'
conference:
end_date: 2021-09-17
location: Bilbao (Virtual)
name: ECML/PKDD Workshop on Automating Data Science
start_date: 2021-09-13
date_created: 2021-08-02T07:46:29Z
date_updated: 2022-01-06T06:55:43Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
quality_controlled: '1'
status: public
title: Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
type: conference
user_id: '5786'
year: '2021'
...
---
_id: '22914'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: 'Mohr F, Wever MD. Replacing the Ex-Def Baseline in AutoML by Naive AutoML.
In: ; 2021.'
apa: Mohr, F., & Wever, M. D. (2021). Replacing the Ex-Def Baseline in AutoML
by Naive AutoML. 8th ICML Workshop on Automated Machine Learning, Virtual.
bibtex: '@inproceedings{Mohr_Wever_2021, title={Replacing the Ex-Def Baseline in
AutoML by Naive AutoML}, author={Mohr, Felix and Wever, Marcel Dominik}, year={2021}
}'
chicago: Mohr, Felix, and Marcel Dominik Wever. “Replacing the Ex-Def Baseline in
AutoML by Naive AutoML,” 2021.
ieee: F. Mohr and M. D. Wever, “Replacing the Ex-Def Baseline in AutoML by Naive
AutoML,” presented at the 8th ICML Workshop on Automated Machine Learning, Virtual,
2021.
mla: Mohr, Felix, and Marcel Dominik Wever. Replacing the Ex-Def Baseline in
AutoML by Naive AutoML. 2021.
short: 'F. Mohr, M.D. Wever, in: 2021.'
conference:
end_date: 2021-07-23
location: Virtual
name: 8th ICML Workshop on Automated Machine Learning
start_date: 2021-07-23
date_created: 2021-08-02T07:48:07Z
date_updated: 2022-01-06T06:55:43Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
status: public
title: Replacing the Ex-Def Baseline in AutoML by Naive AutoML
type: conference
user_id: '5786'
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: '21198'
author:
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset
Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published
online 2021.'
apa: 'Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021).
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors
from Imprecise Performance Data. The 25th Pacific-Asia Conference on Knowledge
Discovery and Data Mining (PAKDD-2021), Delhi, India.'
bibtex: '@article{Hanselle_Tornede_Wever_Hüllermeier_2021, series={PAKDD}, title={Algorithm
Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise
Performance Data}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever,
Marcel Dominik and Hüllermeier, Eyke}, year={2021}, collection={PAKDD} }'
chicago: 'Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke
Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm
Selectors from Imprecise Performance Data.” PAKDD, 2021.'
ieee: 'J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection
as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance
Data.” 2021.'
mla: 'Hanselle, Jonas Manuel, et al. Algorithm Selection as Superset Learning:
Constructing Algorithm Selectors from Imprecise Performance Data. 2021.'
short: J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021).
conference:
end_date: 2021-05-14
location: Delhi, India
name: The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)
start_date: 2021-05-11
date_created: 2021-02-09T09:30:14Z
date_updated: 2022-08-24T12:49:06Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
series_title: PAKDD
status: public
title: 'Algorithm Selection as Superset Learning: Constructing Algorithm Selectors
from Imprecise Performance Data'
type: conference
user_id: '38209'
year: '2021'
...
---
_id: '27778'
abstract:
- lang: eng
text: "Consider a set of jobs connected to a directed acyclic task graph with a\r\nfixed
source and sink. The edges of this graph model precedence constraints and\r\nthe
jobs have to be scheduled with respect to those. We introduce the Server\r\nCloud
Scheduling problem, in which the jobs have to be processed either on a\r\nsingle
local machine or on one of many cloud machines. Both the source and the\r\nsink
have to be scheduled on the local machine. For each job, processing times\r\nboth
on the server and in the cloud are given. Furthermore, for each edge in\r\nthe
task graph, a communication delay is included in the input and has to be\r\ntaken
into account if one of the two jobs is scheduled on the server, the other\r\nin
the cloud. The server can process jobs sequentially, whereas the cloud can\r\nserve
as many as needed in parallel, but induces costs. We consider both\r\nmakespan
and cost minimization. The main results are an FPTAS with respect for\r\nthe makespan
objective for a fairly general case and strong hardness for the\r\ncase with unit
processing times and delays."
author:
- first_name: Marten
full_name: Maack, Marten
id: '88252'
last_name: Maack
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Simon
full_name: Pukrop, Simon
id: '44428'
last_name: Pukrop
citation:
ama: Maack M, Meyer auf der Heide F, Pukrop S. Full Version -- Server Cloud Scheduling.
arXiv:210802109. Published online 2021.
apa: Maack, M., Meyer auf der Heide, F., & Pukrop, S. (2021). Full Version --
Server Cloud Scheduling. In arXiv:2108.02109.
bibtex: '@article{Maack_Meyer auf der Heide_Pukrop_2021, title={Full Version --
Server Cloud Scheduling}, journal={arXiv:2108.02109}, author={Maack, Marten and
Meyer auf der Heide, Friedhelm and Pukrop, Simon}, year={2021} }'
chicago: Maack, Marten, Friedhelm Meyer auf der Heide, and Simon Pukrop. “Full Version
-- Server Cloud Scheduling.” ArXiv:2108.02109, 2021.
ieee: M. Maack, F. Meyer auf der Heide, and S. Pukrop, “Full Version -- Server Cloud
Scheduling,” arXiv:2108.02109. 2021.
mla: Maack, Marten, et al. “Full Version -- Server Cloud Scheduling.” ArXiv:2108.02109,
2021.
short: M. Maack, F. Meyer auf der Heide, S. Pukrop, ArXiv:2108.02109 (2021).
date_created: 2021-11-24T13:23:58Z
date_updated: 2022-09-27T15:03:19Z
department:
- _id: '63'
- _id: '26'
language:
- iso: eng
publication: arXiv:2108.02109
status: public
title: Full Version -- Server Cloud Scheduling
type: preprint
user_id: '44428'
year: '2021'
...
---
_id: '52665'
author:
- first_name: Michael
full_name: Hillebrand, Michael
id: '83856'
last_name: Hillebrand
citation:
ama: Hillebrand M. Entwicklungssystematik Zur Integration von Eigenschaften Der
Selbstheilung in Intelligente Technische Systeme . Vol Band 403.; 2021.
apa: 'Hillebrand, M. (2021). Entwicklungssystematik zur Integration von Eigenschaften
der Selbstheilung in Intelligente Technische Systeme : Vol. Band 403.'
bibtex: '@book{Hillebrand_2021, series={HNI-Verlagsschriftreihe}, title={Entwicklungssystematik
zur Integration von Eigenschaften der Selbstheilung in Intelligente Technische
Systeme }, volume={Band 403}, author={Hillebrand, Michael}, year={2021}, collection={HNI-Verlagsschriftreihe}
}'
chicago: Hillebrand, Michael. Entwicklungssystematik Zur Integration von Eigenschaften
Der Selbstheilung in Intelligente Technische Systeme . Vol. Band 403. HNI-Verlagsschriftreihe,
2021.
ieee: M. Hillebrand, Entwicklungssystematik zur Integration von Eigenschaften
der Selbstheilung in Intelligente Technische Systeme , vol. Band 403. 2021.
mla: Hillebrand, Michael. Entwicklungssystematik Zur Integration von Eigenschaften
Der Selbstheilung in Intelligente Technische Systeme . 2021.
short: M. Hillebrand, Entwicklungssystematik Zur Integration von Eigenschaften Der
Selbstheilung in Intelligente Technische Systeme , 2021.
date_created: 2024-03-20T10:07:10Z
date_updated: 2024-04-02T09:47:42Z
department:
- _id: '26'
language:
- iso: eng
publication_identifier:
isbn:
- 978-3-947647-22-4
series_title: HNI-Verlagsschriftreihe
status: public
title: 'Entwicklungssystematik zur Integration von Eigenschaften der Selbstheilung
in Intelligente Technische Systeme '
type: dissertation
user_id: '5786'
volume: Band 403
year: '2021'
...
---
_id: '52664'
author:
- first_name: Liang
full_name: Wu, Liang
id: '30401'
last_name: Wu
citation:
ama: Wu L. Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für Analog-Digital-Wandler
Mit Zeitversetzter Abtastung. Vol 402.; 2021.
apa: Wu, L. (2021). Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für
Analog-Digital-Wandler mit zeitversetzter Abtastung (Vol. 402).
bibtex: '@book{Wu_2021, series={HNI-Verlagsschriftreihe}, title={Ultrabreitbandige
Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler mit zeitversetzter
Abtastung}, volume={402}, author={Wu, Liang}, year={2021}, collection={HNI-Verlagsschriftreihe}
}'
chicago: Wu, Liang. Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für
Analog-Digital-Wandler Mit Zeitversetzter Abtastung. Vol. 402. HNI-Verlagsschriftreihe,
2021.
ieee: L. Wu, Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler
mit zeitversetzter Abtastung, vol. 402. 2021.
mla: Wu, Liang. Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für Analog-Digital-Wandler
Mit Zeitversetzter Abtastung. 2021.
short: L. Wu, Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie Für Analog-Digital-Wandler
Mit Zeitversetzter Abtastung, 2021.
date_created: 2024-03-20T09:53:23Z
date_updated: 2024-04-02T09:47:49Z
department:
- _id: '26'
intvolume: ' 402'
language:
- iso: eng
publication_identifier:
isbn:
- 978-3-947647-21-7
series_title: HNI-Verlagsschriftreihe
status: public
title: Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler
mit zeitversetzter Abtastung
type: dissertation
user_id: '5786'
volume: 402
year: '2021'
...
---
_id: '23379'
abstract:
- lang: ger
text: 'Mit der zunehmenden Bedeutung von digitalen Lösungen und innovativen Dienstleistungen
geht eine signifikante Transformation des produzierenden Gewerbes einher. Die
Digitalisierung führt zu intelligenten Produkten, die Daten generieren und über
das Internet austauschen. Auf Basis dieser Daten können Produkthersteller gänzlich
neue digitale Dienstleistungen anbieten, sogenannte Smart Services. Ihre erfolgreiche
Umsetzung ist essentiell, um in der Wettbewerbsarena der Zukunft bestehen zu können.
Die Gestaltung eines Smart Service-Geschäfts ist jedoch nicht trivial. Ziel der
vorliegenden Arbeit ist eine Systematik zur Entwicklung von Smart Service-Strategien
im produzierenden Gewerbe. Die Systematik besteht aus drei Bestandteilen: der
Erste ist die Konzeption von Smart Service-Strategien im Sinne eines Referenzmodells.
Sie definiert die auszugestaltenden Aspekte. Der Zweite ist das Gestaltungswissen.
Es werden Normstrategien und Funktionalitäten im Kontext von Smart Services für
die Strategieentwicklung bereitgestellt. Die Strategieentwicklung wird im dritten
Bestandteil adressiert, einer Methode bestehend aus einem Vorgehensmodell und
unterstützenden Hilfsmitteln. Das Vorgehensmodell orchestriert den Einsatz der
Hilfsmittel und des Gestaltungswissens. Resultat ist eine Smart Service-Strategie,
die die Vision für das Smart Service-Geschäft sowie den Weg zu deren Realisierung
darstellt. Die Systematik wurde anhand eines Unternehmens des Sondermaschinenbaus
erfolgreich validiert.'
- lang: eng
text: 'The increasing importance of digital solutions and innovative services is
accompanied by a significant transformation of manufacturing. Digitalization leads
to intelligent products that generate data and exchange them via the internet.
Based on these data, product manufacturers can offer completely new digital services,
so-called smart services. Their successful implementation is essential in order
to survive in the competitive arena of the future. However, the design of a smart
service-business is not trivial.The goal of this dissertation is a procedure for
the development of smart service-strategies in manufacturing. It consists of three
components: the first one is the conceptualization of smart service-strategies
in the sense of a reference model. It defines the aspects to be determined during
strategy development. The second component is design knowledge. It provides standard
strategies and functionalities in the context of smart services for the development
of the strategy. This is done using the third component, a method consisting of
a process model and corresponding tools. The process model orchestrates the use
of the tools and the design knowledge. The result is a smart service-strategy,
which includes the vision for the smart service-business and the way to its realization.
The procedure was successfully validated by means of a company in the field of
special-purpose machine construction.'
author:
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
citation:
ama: Koldewey C. Systematik zur Entwicklung von Smart Service-Strategien im produzierenden
Gewerbe. Vol 399.; 2021:4, 217, A-41. doi:10.17619/UNIPB/1-1167
apa: Koldewey, C. (2021). Systematik zur Entwicklung von Smart Service-Strategien
im produzierenden Gewerbe (Vol. 399, pp. 4, 217, A-41). https://doi.org/10.17619/UNIPB/1-1167
bibtex: '@book{Koldewey_2021, place={Paderborn}, series={Verlagsschriftenreihe des
Heinz Nixdorf Instituts}, title={Systematik zur Entwicklung von Smart Service-Strategien
im produzierenden Gewerbe}, volume={399}, DOI={10.17619/UNIPB/1-1167},
author={Koldewey, Christian}, year={2021}, pages={4, 217, A-41}, collection={Verlagsschriftenreihe
des Heinz Nixdorf Instituts} }'
chicago: Koldewey, Christian. Systematik zur Entwicklung von Smart Service-Strategien
im produzierenden Gewerbe. Vol. 399. Verlagsschriftenreihe des Heinz Nixdorf
Instituts. Paderborn, 2021. https://doi.org/10.17619/UNIPB/1-1167.
ieee: C. Koldewey, Systematik zur Entwicklung von Smart Service-Strategien im
produzierenden Gewerbe, vol. 399. Paderborn, 2021, pp. 4, 217, A-41.
mla: Koldewey, Christian. Systematik zur Entwicklung von Smart Service-Strategien
im produzierenden Gewerbe. 2021, pp. 4, 217, A-41, doi:10.17619/UNIPB/1-1167.
short: C. Koldewey, Systematik zur Entwicklung von Smart Service-Strategien im produzierenden
Gewerbe, Paderborn, 2021.
date_created: 2021-08-09T15:45:09Z
date_updated: 2024-07-12T12:05:50Z
ddc:
- '650'
department:
- _id: '563'
- _id: '26'
doi: 10.17619/UNIPB/1-1167
file:
- access_level: closed
content_type: application/pdf
creator: koldewey
date_created: 2021-08-20T18:35:06Z
date_updated: 2021-08-20T18:35:06Z
file_id: '23461'
file_name: Dissertation_Christian_Koldewey(1).pdf
file_size: 47059853
relation: main_file
success: 1
file_date_updated: 2021-08-20T18:35:06Z
has_accepted_license: '1'
intvolume: ' 399'
jel:
- O32
keyword:
- Smart Service
- Strategie
language:
- iso: ger
page: 4, 217, A-41
place: Paderborn
publication_identifier:
isbn:
- 978-3-947647-18-7
publication_status: epub_ahead
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
supervisor:
- first_name: Jürgen
full_name: Gausemeier, Jürgen
last_name: Gausemeier
- first_name: Rainer
full_name: Stark, Rainer
last_name: Stark
title: Systematik zur Entwicklung von Smart Service-Strategien im produzierenden Gewerbe
type: dissertation
user_id: '1112'
volume: 399
year: '2021'
...
---
_id: '27519'
citation:
ama: Gausemeier J, Bauer W, Dumitrescu R, eds. Vorausschau und Technologieplanung
- 16. Symposium für Vorausschau und Technologieplanung. Vol Band 400. Heinz
Nixdorf Institut, Universität Paderborn; 2021.
apa: 'Gausemeier, J., Bauer, W., & Dumitrescu, R. (Eds.). (2021). Vorausschau
und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung:
Vol. Band 400. Heinz Nixdorf Institut, Universität Paderborn.'
bibtex: '@book{Gausemeier_Bauer_Dumitrescu_2021, place={Paderborn}, title={Vorausschau
und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung},
volume={Band 400}, publisher={Heinz Nixdorf Institut, Universität Paderborn},
year={2021} }'
chicago: 'Gausemeier, Jürgen, Wilhelm Bauer, and Roman Dumitrescu, eds. Vorausschau
und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung.
Vol. Band 400. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2021.'
ieee: 'J. Gausemeier, W. Bauer, and R. Dumitrescu, Eds., Vorausschau und Technologieplanung
- 16. Symposium für Vorausschau und Technologieplanung, vol. Band 400. Paderborn:
Heinz Nixdorf Institut, Universität Paderborn, 2021.'
mla: Gausemeier, Jürgen, et al., editors. Vorausschau und Technologieplanung
- 16. Symposium für Vorausschau und Technologieplanung. Heinz Nixdorf Institut,
Universität Paderborn, 2021.
short: J. Gausemeier, W. Bauer, R. Dumitrescu, eds., Vorausschau und Technologieplanung
- 16. Symposium für Vorausschau und Technologieplanung, Heinz Nixdorf Institut,
Universität Paderborn, Paderborn, 2021.
date_created: 2021-11-17T10:49:13Z
date_updated: 2024-07-12T12:06:11Z
department:
- _id: '563'
- _id: '26'
editor:
- first_name: Jürgen
full_name: Gausemeier, Jürgen
id: '163'
last_name: Gausemeier
- first_name: Wilhelm
full_name: Bauer, Wilhelm
last_name: Bauer
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
language:
- iso: ger
place: Paderborn
publication_status: published
publisher: Heinz Nixdorf Institut, Universität Paderborn
status: public
title: Vorausschau und Technologieplanung - 16. Symposium für Vorausschau und Technologieplanung
type: conference_editor
user_id: '1112'
volume: Band 400
year: '2021'
...
---
_id: '42070'
author:
- first_name: Simon
full_name: Olma, Simon
last_name: Olma
citation:
ama: Olma S. Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator. Vol
404. Verlagsschriftenreihe des Heinz Nixdorf Instituts; 2021.
apa: Olma, S. (2021). Systemtheorie von Hardware-in-the-Loop-Simulationen mit
Anwendung auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator
(Vol. 404). Verlagsschriftenreihe des Heinz Nixdorf Instituts.
bibtex: '@book{Olma_2021, title={Systemtheorie von Hardware-in-the-Loop-Simulationen
mit Anwendung auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator},
volume={404}, publisher={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, author={Olma,
Simon}, year={2021} }'
chicago: Olma, Simon. Systemtheorie von Hardware-in-the-Loop-Simulationen mit
Anwendung auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator.
Vol. 404. Verlagsschriftenreihe des Heinz Nixdorf Instituts, 2021.
ieee: S. Olma, Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator, vol.
404. Verlagsschriftenreihe des Heinz Nixdorf Instituts, 2021.
mla: Olma, Simon. Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, 2021.
short: S. Olma, Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung
auf einem Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator, Verlagsschriftenreihe
des Heinz Nixdorf Instituts, 2021.
date_created: 2023-02-14T10:58:48Z
date_updated: 2024-07-12T12:06:28Z
department:
- _id: '153'
- _id: '26'
intvolume: ' 404'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-1294
oa: '1'
publication_identifier:
isbn:
- '9783947647231'
publication_status: published
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
supervisor:
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
title: Systemtheorie von Hardware-in-the-Loop-Simulationen mit Anwendung auf einem
Fahrzeugachsprüfstand mit parallelkinematischem Lastsimulator
type: dissertation
user_id: '1112'
volume: 404
year: '2021'
...
---
_id: '28370'
author:
- first_name: Andreas
full_name: Kohlstedt, Andreas
last_name: Kohlstedt
citation:
ama: Kohlstedt A. Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod. Vol 396. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn; 2021.
apa: Kohlstedt, A. (2021). Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod (Vol. 396). Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn.
bibtex: '@book{Kohlstedt_2021, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts,
Paderborn}, title={Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod}, volume={396}, publisher={Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn}, author={Kohlstedt, Andreas}, year={2021},
collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn} }'
chicago: Kohlstedt, Andreas. Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod. Vol. 396. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe des Heinz Nixdorf
Instituts, Paderborn, 2021.
ieee: A. Kohlstedt, Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod, vol. 396. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2021.
mla: Kohlstedt, Andreas. Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2021.
short: A. Kohlstedt, Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung
für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod, Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2021.
date_created: 2021-12-07T13:40:14Z
date_updated: 2023-02-24T13:01:32Z
department:
- _id: '26'
- _id: '153'
intvolume: ' 396'
language:
- iso: ger
publication_identifier:
isbn:
- 978-3-947647-15-6
publication_status: published
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
status: public
title: Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung für einen Fahrzeugachsprüfstand
mit hydraulischem Hexapod
type: dissertation
user_id: '14931'
volume: 396
year: '2021'
...
---
_id: '23991'
author:
- first_name: Stephan
full_name: Kruse, Stephan
id: '38254'
last_name: Kruse
- first_name: Sergiy
full_name: Gudyriev, Sergiy
last_name: Gudyriev
- first_name: Pascal
full_name: Kneuper, Pascal
id: '47367'
last_name: Kneuper
- first_name: Tobias
full_name: Schwabe, Tobias
id: '39217'
last_name: Schwabe
- first_name: Heiko G.
full_name: Kurz, Heiko G.
last_name: Kurz
- first_name: Christoph
full_name: Scheytt, Christoph
id: '37144'
last_name: Scheytt
orcid: https://orcid.org/0000-0002-5950-6618
citation:
ama: Kruse S, Gudyriev S, Kneuper P, Schwabe T, Kurz HG, Scheytt C. Silicon Photonic
Radar Transmitter IC for mm-Wave Large Aperture MIMO Radar Using Optical Clock
Distribution. IEEE Microwave and Wireless Components Letters. 2021;31(6):783-786.
doi:10.1109/LMWC.2021.3062112
apa: Kruse, S., Gudyriev, S., Kneuper, P., Schwabe, T., Kurz, H. G., & Scheytt,
C. (2021). Silicon Photonic Radar Transmitter IC for mm-Wave Large Aperture MIMO
Radar Using Optical Clock Distribution. IEEE Microwave and Wireless Components
Letters, 31(6), 783–786. https://doi.org/10.1109/LMWC.2021.3062112
bibtex: '@article{Kruse_Gudyriev_Kneuper_Schwabe_Kurz_Scheytt_2021, title={Silicon
Photonic Radar Transmitter IC for mm-Wave Large Aperture MIMO Radar Using Optical
Clock Distribution}, volume={31}, DOI={10.1109/LMWC.2021.3062112},
number={6}, journal={IEEE Microwave and Wireless Components Letters}, author={Kruse,
Stephan and Gudyriev, Sergiy and Kneuper, Pascal and Schwabe, Tobias and Kurz,
Heiko G. and Scheytt, Christoph}, year={2021}, pages={783–786} }'
chicago: 'Kruse, Stephan, Sergiy Gudyriev, Pascal Kneuper, Tobias Schwabe, Heiko
G. Kurz, and Christoph Scheytt. “Silicon Photonic Radar Transmitter IC for Mm-Wave
Large Aperture MIMO Radar Using Optical Clock Distribution.” IEEE Microwave
and Wireless Components Letters 31, no. 6 (2021): 783–86. https://doi.org/10.1109/LMWC.2021.3062112.'
ieee: 'S. Kruse, S. Gudyriev, P. Kneuper, T. Schwabe, H. G. Kurz, and C. Scheytt,
“Silicon Photonic Radar Transmitter IC for mm-Wave Large Aperture MIMO Radar Using
Optical Clock Distribution,” IEEE Microwave and Wireless Components Letters,
vol. 31, no. 6, pp. 783–786, 2021, doi: 10.1109/LMWC.2021.3062112.'
mla: Kruse, Stephan, et al. “Silicon Photonic Radar Transmitter IC for Mm-Wave Large
Aperture MIMO Radar Using Optical Clock Distribution.” IEEE Microwave and Wireless
Components Letters, vol. 31, no. 6, 2021, pp. 783–86, doi:10.1109/LMWC.2021.3062112.
short: S. Kruse, S. Gudyriev, P. Kneuper, T. Schwabe, H.G. Kurz, C. Scheytt, IEEE
Microwave and Wireless Components Letters 31 (2021) 783–786.
date_created: 2021-09-09T08:30:02Z
date_updated: 2025-02-25T05:43:12Z
department:
- _id: '58'
- _id: '26'
- _id: '230'
doi: 10.1109/LMWC.2021.3062112
intvolume: ' 31'
issue: '6'
language:
- iso: eng
page: 783-786
publication: IEEE Microwave and Wireless Components Letters
status: public
title: Silicon Photonic Radar Transmitter IC for mm-Wave Large Aperture MIMO Radar
Using Optical Clock Distribution
type: journal_article
user_id: '38254'
volume: 31
year: '2021'
...
---
_id: '28367'
author:
- first_name: Julian
full_name: Echterfeld, Julian
last_name: Echterfeld
citation:
ama: Echterfeld J. Systematik zur Digitalisierung von Produktprogrammen.
Vol 393. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn; 2020.
apa: Echterfeld, J. (2020). Systematik zur Digitalisierung von Produktprogrammen
(Vol. 393). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.
bibtex: '@book{Echterfeld_2020, series={Verlagsschriftenreihe des Heinz Nixdorf
Instituts, Paderborn}, title={Systematik zur Digitalisierung von Produktprogrammen},
volume={393}, publisher={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn},
author={Echterfeld, Julian}, year={2020}, collection={Verlagsschriftenreihe des
Heinz Nixdorf Instituts, Paderborn} }'
chicago: Echterfeld, Julian. Systematik zur Digitalisierung von Produktprogrammen.
Vol. 393. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn. Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2020.
ieee: J. Echterfeld, Systematik zur Digitalisierung von Produktprogrammen,
vol. 393. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2020.
mla: Echterfeld, Julian. Systematik zur Digitalisierung von Produktprogrammen.
Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2020.
short: J. Echterfeld, Systematik zur Digitalisierung von Produktprogrammen, Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2020.
date_created: 2021-12-07T13:35:33Z
date_updated: 2022-01-06T06:58:02Z
department:
- _id: '26'
intvolume: ' 393'
language:
- iso: ger
publication_identifier:
isbn:
- 978-3-947647-12-5
publication_status: published
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
status: public
title: Systematik zur Digitalisierung von Produktprogrammen
type: dissertation
user_id: '60046'
volume: 393
year: '2020'
...