---
_id: '21254'
article_number: '2498'
author:
- first_name: Praneeth
full_name: Balakrishna, Praneeth
last_name: Balakrishna
- first_name: Gerrit
full_name: Book, Gerrit
last_name: Book
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
id: '49265'
last_name: Kirchgässner
orcid: 0000-0001-9490-1843
- first_name: Maximilian
full_name: Schenke, Maximilian
id: '52638'
last_name: Schenke
orcid: 0000-0001-5427-9527
- first_name: Arne
full_name: Traue, Arne
last_name: Traue
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Balakrishna P, Book G, Kirchgässner W, Schenke M, Traue A, Wallscheid O. gym-electric-motor
(GEM): A Python toolbox for the simulation of electric drive systems. Journal
of Open Source Software. Published online 2021. doi:10.21105/joss.02498'
apa: 'Balakrishna, P., Book, G., Kirchgässner, W., Schenke, M., Traue, A., &
Wallscheid, O. (2021). gym-electric-motor (GEM): A Python toolbox for the simulation
of electric drive systems. Journal of Open Source Software, Article 2498.
https://doi.org/10.21105/joss.02498'
bibtex: '@article{Balakrishna_Book_Kirchgässner_Schenke_Traue_Wallscheid_2021, title={gym-electric-motor
(GEM): A Python toolbox for the simulation of electric drive systems}, DOI={10.21105/joss.02498}, number={2498},
journal={Journal of Open Source Software}, author={Balakrishna, Praneeth and Book,
Gerrit and Kirchgässner, Wilhelm and Schenke, Maximilian and Traue, Arne and Wallscheid,
Oliver}, year={2021} }'
chicago: 'Balakrishna, Praneeth, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke,
Arne Traue, and Oliver Wallscheid. “Gym-Electric-Motor (GEM): A Python Toolbox
for the Simulation of Electric Drive Systems.” Journal of Open Source Software,
2021. https://doi.org/10.21105/joss.02498.'
ieee: 'P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, and O. Wallscheid,
“gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive
systems,” Journal of Open Source Software, Art. no. 2498, 2021, doi: 10.21105/joss.02498.'
mla: 'Balakrishna, Praneeth, et al. “Gym-Electric-Motor (GEM): A Python Toolbox
for the Simulation of Electric Drive Systems.” Journal of Open Source Software,
2498, 2021, doi:10.21105/joss.02498.'
short: P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid,
Journal of Open Source Software (2021).
date_created: 2021-02-16T21:40:12Z
date_updated: 2022-02-25T20:31:36Z
department:
- _id: '52'
doi: 10.21105/joss.02498
language:
- iso: eng
publication: Journal of Open Source Software
publication_identifier:
issn:
- 2475-9066
publication_status: published
status: public
title: 'gym-electric-motor (GEM): A Python toolbox for the simulation of electric
drive systems'
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '25031'
author:
- first_name: Maximilian
full_name: Schenke, Maximilian
id: '52638'
last_name: Schenke
orcid: 0000-0001-5427-9527
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Schenke M, Wallscheid O. A Deep Q-Learning Direct Torque Controller for Permanent
Magnet Synchronous Motors. IEEE Open Journal of the Industrial Electronics
Society. Published online 2021:388-400. doi:10.1109/ojies.2021.3075521
apa: Schenke, M., & Wallscheid, O. (2021). A Deep Q-Learning Direct Torque Controller
for Permanent Magnet Synchronous Motors. IEEE Open Journal of the Industrial
Electronics Society, 388–400. https://doi.org/10.1109/ojies.2021.3075521
bibtex: '@article{Schenke_Wallscheid_2021, title={A Deep Q-Learning Direct Torque
Controller for Permanent Magnet Synchronous Motors}, DOI={10.1109/ojies.2021.3075521},
journal={IEEE Open Journal of the Industrial Electronics Society}, author={Schenke,
Maximilian and Wallscheid, Oliver}, year={2021}, pages={388–400} }'
chicago: Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque
Controller for Permanent Magnet Synchronous Motors.” IEEE Open Journal of the
Industrial Electronics Society, 2021, 388–400. https://doi.org/10.1109/ojies.2021.3075521.
ieee: 'M. Schenke and O. Wallscheid, “A Deep Q-Learning Direct Torque Controller
for Permanent Magnet Synchronous Motors,” IEEE Open Journal of the Industrial
Electronics Society, pp. 388–400, 2021, doi: 10.1109/ojies.2021.3075521.'
mla: Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque
Controller for Permanent Magnet Synchronous Motors.” IEEE Open Journal of the
Industrial Electronics Society, 2021, pp. 388–400, doi:10.1109/ojies.2021.3075521.
short: M. Schenke, O. Wallscheid, IEEE Open Journal of the Industrial Electronics
Society (2021) 388–400.
date_created: 2021-09-24T10:31:35Z
date_updated: 2022-02-25T20:31:27Z
department:
- _id: '52'
doi: 10.1109/ojies.2021.3075521
language:
- iso: eng
page: 388-400
publication: IEEE Open Journal of the Industrial Electronics Society
publication_identifier:
issn:
- 2644-1284
publication_status: published
status: public
title: A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous
Motors
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '29662'
author:
- first_name: Maximilian
full_name: Schenke, Maximilian
id: '52638'
last_name: Schenke
orcid: 0000-0001-5427-9527
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Schenke M, Wallscheid O. Improved Exploring Starts by Kernel Density Estimation-Based
State-Space Coverage Acceleration in Reinforcement Learning. arXiv preprint
arXiv:210508990. Published online 2021.
apa: Schenke, M., & Wallscheid, O. (2021). Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.
ArXiv Preprint ArXiv:2105.08990.
bibtex: '@article{Schenke_Wallscheid_2021, title={Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning},
journal={arXiv preprint arXiv:2105.08990}, author={Schenke, Maximilian and Wallscheid,
Oliver}, year={2021} }'
chicago: Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts
by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement
Learning.” ArXiv Preprint ArXiv:2105.08990, 2021.
ieee: M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density
Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,”
arXiv preprint arXiv:2105.08990, 2021.
mla: Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.”
ArXiv Preprint ArXiv:2105.08990, 2021.
short: M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).
date_created: 2022-01-28T14:11:08Z
date_updated: 2022-02-25T20:31:17Z
department:
- _id: '52'
- _id: '57'
language:
- iso: eng
publication: arXiv preprint arXiv:2105.08990
status: public
title: Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage
Acceleration in Reinforcement Learning
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '21557'
author:
- first_name: Anian
full_name: Brosch, Anian
id: '75779'
last_name: Brosch
orcid: 0000-0003-4871-1664
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: Brosch A, Wallscheid O, Böcker J. Torque and Inductances Estimation for Finite
Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors.
IEEE Transactions on Industrial Informatics. Published online 2021. doi:10.1109/tii.2021.3060469
apa: Brosch, A., Wallscheid, O., & Böcker, J. (2021). Torque and Inductances
Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet
Synchronous Motors. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2021.3060469
bibtex: '@article{Brosch_Wallscheid_Böcker_2021, title={Torque and Inductances Estimation
for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous
Motors}, DOI={10.1109/tii.2021.3060469},
journal={IEEE Transactions on Industrial Informatics}, author={Brosch, Anian and
Wallscheid, Oliver and Böcker, Joachim}, year={2021} }'
chicago: Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Torque and Inductances
Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet
Synchronous Motors.” IEEE Transactions on Industrial Informatics, 2021.
https://doi.org/10.1109/tii.2021.3060469.
ieee: 'A. Brosch, O. Wallscheid, and J. Böcker, “Torque and Inductances Estimation
for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous
Motors,” IEEE Transactions on Industrial Informatics, 2021, doi: 10.1109/tii.2021.3060469.'
mla: Brosch, Anian, et al. “Torque and Inductances Estimation for Finite Model Predictive
Control of Highly Utilized Permanent Magnet Synchronous Motors.” IEEE Transactions
on Industrial Informatics, 2021, doi:10.1109/tii.2021.3060469.
short: A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Industrial Informatics
(2021).
date_created: 2021-03-22T17:32:46Z
date_updated: 2022-02-28T09:14:48Z
department:
- _id: '52'
doi: 10.1109/tii.2021.3060469
language:
- iso: eng
publication: IEEE Transactions on Industrial Informatics
publication_identifier:
issn:
- 1551-3203
- 1941-0050
publication_status: published
status: public
title: Torque and Inductances Estimation for Finite Model Predictive Control of Highly
Utilized Permanent Magnet Synchronous Motors
type: journal_article
user_id: '75779'
year: '2021'
...
---
_id: '25297'
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Timon
full_name: Gurcke, Timon
id: '52174'
last_name: Gurcke
- first_name: Shahbaz
full_name: Syed, Shahbaz
last_name: Syed
- first_name: Philipp
full_name: Heinisch, Philipp
last_name: Heinisch
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning
and Extractive Argument Summarization. In: Proceedings of the 8th Workshop
on Argument Mining. ; 2021:184-189.'
apa: Alshomary, M., Gurcke, T., Syed, S., Heinisch, P., Spliethöver, M., Cimiano,
P., Potthast, M., & Wachsmuth, H. (2021). Key Point Analysis via Contrastive
Learning and Extractive Argument Summarization. Proceedings of the 8th Workshop
on Argument Mining, 184–189.
bibtex: '@inproceedings{Alshomary_Gurcke_Syed_Heinisch_Spliethöver_Cimiano_Potthast_Wachsmuth_2021,
title={Key Point Analysis via Contrastive Learning and Extractive Argument Summarization},
booktitle={Proceedings of the 8th Workshop on Argument Mining}, author={Alshomary,
Milad and Gurcke, Timon and Syed, Shahbaz and Heinisch, Philipp and Spliethöver,
Maximilian and Cimiano, Philipp and Potthast, Martin and Wachsmuth, Henning},
year={2021}, pages={184–189} }'
chicago: Alshomary, Milad, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian
Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. “Key Point
Analysis via Contrastive Learning and Extractive Argument Summarization.” In Proceedings
of the 8th Workshop on Argument Mining, 184–89, 2021.
ieee: M. Alshomary et al., “Key Point Analysis via Contrastive Learning and
Extractive Argument Summarization,” in Proceedings of the 8th Workshop on Argument
Mining, 2021, pp. 184–189.
mla: Alshomary, Milad, et al. “Key Point Analysis via Contrastive Learning and Extractive
Argument Summarization.” Proceedings of the 8th Workshop on Argument Mining,
2021, pp. 184–89.
short: 'M. Alshomary, T. Gurcke, S. Syed, P. Heinisch, M. Spliethöver, P. Cimiano,
M. Potthast, H. Wachsmuth, in: Proceedings of the 8th Workshop on Argument Mining,
2021, pp. 184–189.'
date_created: 2021-10-04T12:40:02Z
date_updated: 2022-03-08T12:47:33Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://aclanthology.org/2021.argmining-1.19.pdf
page: 184 - 189
publication: Proceedings of the 8th Workshop on Argument Mining
status: public
title: Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '25294'
author:
- first_name: Zahra
full_name: Nouri, Zahra
id: '35802'
last_name: Nouri
- first_name: Nikhil
full_name: Prakash, Nikhil
last_name: Prakash
- first_name: Ujwal
full_name: Gadiraju, Ujwal
last_name: Gadiraju
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters
Iteratively Improve Task Descriptions in Crowdsourcing. In: Proceedings of
the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021.
; 2021.'
apa: Nouri, Z., Prakash, N., Gadiraju, U., & Wachsmuth, H. (2021). iClarify
- A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021.
bibtex: '@inproceedings{Nouri_Prakash_Gadiraju_Wachsmuth_2021, title={iClarify -
A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing},
booktitle={Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021}, author={Nouri, Zahra and Prakash, Nikhil and Gadiraju, Ujwal and
Wachsmuth, Henning}, year={2021} }'
chicago: Nouri, Zahra, Nikhil Prakash, Ujwal Gadiraju, and Henning Wachsmuth. “IClarify
- A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing.”
In Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021, 2021.
ieee: Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth, “iClarify - A Tool to
Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing,” 2021.
mla: Nouri, Zahra, et al. “IClarify - A Tool to Help Requesters Iteratively Improve
Task Descriptions in Crowdsourcing.” Proceedings of the Ninth AAAI Conference
on Human Computation and Crowdsourcing, HCOMP 2021, 2021.
short: 'Z. Nouri, N. Prakash, U. Gadiraju, H. Wachsmuth, in: Proceedings of the
Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, 2021.'
date_created: 2021-10-04T12:35:50Z
date_updated: 2022-03-08T12:46:44Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.humancomputation.com/assets/wips_demos/HCOMP_2021_paper_111.pdf
publication: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing,
HCOMP 2021
status: public
title: iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions
in Crowdsourcing
type: conference
user_id: '82920'
year: '2021'
...
---
_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: '30340'
author:
- first_name: Marc
full_name: Hagemeyer, Marc
last_name: Hagemeyer
- first_name: Peter
full_name: Wallmeier, Peter
last_name: Wallmeier
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Hagemeyer M, Wallmeier P, Schafmeister F, Böcker J. Comparison of unidirectional
Three- and Four-Wire based Boost PFC-Rectifier Topologies for Non-Isolated Three-Phase
EV On-Board Chargers under Common-Mode Aspects. In: Proc. 36th IEEE Applied
Power Electronics Conference (APEC). IEEE; 2021:569-576.'
apa: Hagemeyer, M., Wallmeier, P., Schafmeister, F., & Böcker, J. (2021). Comparison
of unidirectional Three- and Four-Wire based Boost PFC-Rectifier Topologies for
Non-Isolated Three-Phase EV On-Board Chargers under Common-Mode Aspects. Proc.
36th IEEE Applied Power Electronics Conference (APEC), 569–576.
bibtex: '@inproceedings{Hagemeyer_Wallmeier_Schafmeister_Böcker_2021, place={Phoenix,
AZ, USA}, title={Comparison of unidirectional Three- and Four-Wire based Boost
PFC-Rectifier Topologies for Non-Isolated Three-Phase EV On-Board Chargers under
Common-Mode Aspects}, booktitle={Proc. 36th IEEE Applied Power Electronics Conference
(APEC)}, publisher={IEEE}, author={Hagemeyer, Marc and Wallmeier, Peter and Schafmeister,
Frank and Böcker, Joachim}, year={2021}, pages={569–576} }'
chicago: 'Hagemeyer, Marc, Peter Wallmeier, Frank Schafmeister, and Joachim Böcker.
“Comparison of Unidirectional Three- and Four-Wire Based Boost PFC-Rectifier Topologies
for Non-Isolated Three-Phase EV On-Board Chargers under Common-Mode Aspects.”
In Proc. 36th IEEE Applied Power Electronics Conference (APEC), 569–76.
Phoenix, AZ, USA: IEEE, 2021.'
ieee: M. Hagemeyer, P. Wallmeier, F. Schafmeister, and J. Böcker, “Comparison of
unidirectional Three- and Four-Wire based Boost PFC-Rectifier Topologies for Non-Isolated
Three-Phase EV On-Board Chargers under Common-Mode Aspects,” in Proc. 36th
IEEE Applied Power Electronics Conference (APEC), Phoenix, AZ, USA, 2021,
pp. 569–576.
mla: Hagemeyer, Marc, et al. “Comparison of Unidirectional Three- and Four-Wire
Based Boost PFC-Rectifier Topologies for Non-Isolated Three-Phase EV On-Board
Chargers under Common-Mode Aspects.” Proc. 36th IEEE Applied Power Electronics
Conference (APEC), IEEE, 2021, pp. 569–76.
short: 'M. Hagemeyer, P. Wallmeier, F. Schafmeister, J. Böcker, in: Proc. 36th IEEE
Applied Power Electronics Conference (APEC), IEEE, Phoenix, AZ, USA, 2021, pp.
569–576.'
conference:
end_date: 2021-06-17
location: Phoenix, AZ, USA
name: 36th IEEE Applied Power Electronics Conference (APEC 21, Virtual Event)
start_date: 2021-06-14
date_created: 2022-03-15T19:39:22Z
date_updated: 2022-03-15T19:40:00Z
department:
- _id: '52'
language:
- iso: eng
page: 569 - 576
place: Phoenix, AZ, USA
publication: Proc. 36th IEEE Applied Power Electronics Conference (APEC)
publication_status: published
publisher: IEEE
status: public
title: Comparison of unidirectional Three- and Four-Wire based Boost PFC-Rectifier
Topologies for Non-Isolated Three-Phase EV On-Board Chargers under Common-Mode Aspects
type: conference
user_id: '71291'
year: '2021'
...
---
_id: '30348'
author:
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
citation:
ama: 'Schafmeister F. Transformerless On-Board Chargers at Three- and Single-Phase
Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage. Power
System Design (PSD) Web Magazine. 2021.'
apa: 'Schafmeister, F. (2021). Transformerless On-Board Chargers at Three- and Single-Phase
Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage. Power
System Design (PSD) Web Magazine.'
bibtex: '@article{Schafmeister_2021, title={Transformerless On-Board Chargers at
Three- and Single-Phase Operation: Compensation of LF Common-Mode Noise by the
Internal DC/DC-Stage}, journal={Power System Design (PSD) Web Magazine}, author={Schafmeister,
Frank}, year={2021} }'
chicago: 'Schafmeister, Frank. “Transformerless On-Board Chargers at Three- and
Single-Phase Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage.”
Power System Design (PSD) Web Magazine, 2021.'
ieee: 'F. Schafmeister, “Transformerless On-Board Chargers at Three- and Single-Phase
Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage,”
Power System Design (PSD) Web Magazine, 2021.'
mla: 'Schafmeister, Frank. “Transformerless On-Board Chargers at Three- and Single-Phase
Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage.”
Power System Design (PSD) Web Magazine, 2021.'
short: F. Schafmeister, Power System Design (PSD) Web Magazine (2021).
date_created: 2022-03-16T12:31:45Z
date_updated: 2022-03-16T12:31:56Z
department:
- _id: '52'
language:
- iso: eng
publication: Power System Design (PSD) Web Magazine
publication_date: 2021-12-24
publication_status: published
status: public
title: 'Transformerless On-Board Chargers at Three- and Single-Phase Operation: Compensation
of LF Common-Mode Noise by the Internal DC/DC-Stage'
type: newspaper_article
user_id: '71291'
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
license: https://creativecommons.org/licenses/by/4.0/
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: '30849'
author:
- first_name: Carsten
full_name: Henkenius, Carsten
last_name: Henkenius
citation:
ama: Henkenius C. Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler.; 2021. doi:10.17619/UNIPB/1-1109
apa: Henkenius, C. (2021). Entwurf netzfreundlicher Synchrongleichrichter mit
integriertem Synchronwandler. https://doi.org/10.17619/UNIPB/1-1109
bibtex: '@book{Henkenius_2021, title={Entwurf netzfreundlicher Synchrongleichrichter
mit integriertem Synchronwandler}, DOI={10.17619/UNIPB/1-1109},
author={Henkenius, Carsten}, year={2021} }'
chicago: Henkenius, Carsten. Entwurf netzfreundlicher Synchrongleichrichter mit
integriertem Synchronwandler, 2021. https://doi.org/10.17619/UNIPB/1-1109.
ieee: C. Henkenius, Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler. 2021.
mla: Henkenius, Carsten. Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler. 2021, doi:10.17619/UNIPB/1-1109.
short: C. Henkenius, Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler, 2021.
date_created: 2022-04-07T10:10:13Z
date_updated: 2022-04-26T08:59:22Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-1109
language:
- iso: ger
status: public
title: Entwurf netzfreundlicher Synchrongleichrichter mit integriertem Synchronwandler
type: dissertation
user_id: '71353'
year: '2021'
...
---
_id: '22925'
article_number: '109919'
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: René Spencer
full_name: Chatwell, René Spencer
last_name: Chatwell
- first_name: Elmar
full_name: Baumhögger, Elmar
id: '15164'
last_name: Baumhögger
- first_name: Tim
full_name: Hetkämper, Tim
id: '38123'
last_name: Hetkämper
- first_name: Henning
full_name: Zeipert, Henning
id: '32580'
last_name: Zeipert
- first_name: Jadran
full_name: Vrabec, Jadran
last_name: Vrabec
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Claes L, Chatwell RS, Baumhögger E, et al. Measurement procedure for acoustic
absorption and bulk viscosity of liquids. Measurement. Published online
2021. doi:10.1016/j.measurement.2021.109919
apa: Claes, L., Chatwell, R. S., Baumhögger, E., Hetkämper, T., Zeipert, H., Vrabec,
J., & Henning, B. (2021). Measurement procedure for acoustic absorption and
bulk viscosity of liquids. Measurement, Article 109919. https://doi.org/10.1016/j.measurement.2021.109919
bibtex: '@article{Claes_Chatwell_Baumhögger_Hetkämper_Zeipert_Vrabec_Henning_2021,
title={Measurement procedure for acoustic absorption and bulk viscosity of liquids},
DOI={10.1016/j.measurement.2021.109919},
number={109919}, journal={Measurement}, author={Claes, Leander and Chatwell, René
Spencer and Baumhögger, Elmar and Hetkämper, Tim and Zeipert, Henning and Vrabec,
Jadran and Henning, Bernd}, year={2021} }'
chicago: Claes, Leander, René Spencer Chatwell, Elmar Baumhögger, Tim Hetkämper,
Henning Zeipert, Jadran Vrabec, and Bernd Henning. “Measurement Procedure for
Acoustic Absorption and Bulk Viscosity of Liquids.” Measurement, 2021.
https://doi.org/10.1016/j.measurement.2021.109919.
ieee: 'L. Claes et al., “Measurement procedure for acoustic absorption and
bulk viscosity of liquids,” Measurement, Art. no. 109919, 2021, doi: 10.1016/j.measurement.2021.109919.'
mla: Claes, Leander, et al. “Measurement Procedure for Acoustic Absorption and Bulk
Viscosity of Liquids.” Measurement, 109919, 2021, doi:10.1016/j.measurement.2021.109919.
short: L. Claes, R.S. Chatwell, E. Baumhögger, T. Hetkämper, H. Zeipert, J. Vrabec,
B. Henning, Measurement (2021).
date_created: 2021-08-02T13:42:06Z
date_updated: 2022-04-26T09:01:07Z
department:
- _id: '49'
- _id: '155'
doi: 10.1016/j.measurement.2021.109919
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Measurement
publication_identifier:
issn:
- 0263-2241
publication_status: published
status: public
title: Measurement procedure for acoustic absorption and bulk viscosity of liquids
type: journal_article
user_id: '15164'
year: '2021'
...