---
_id: '6722'
abstract:
- lang: eng
text: "We report on the Wikidata vandalism detection task at the WSDM Cup 2017.
The\r\ntask received five submissions for which this paper describes their evaluation\r\nand
a comparison to state of the art baselines. Unlike previous work, we recast\r\nWikidata
vandalism detection as an online learning problem, requiring\r\nparticipant software
to predict vandalism in near real-time. The\r\nbest-performing approach achieves
a ROC-AUC of 0.947 at a PR-AUC of 0.458. In\r\nparticular, this task was organized
as a software submission task: to maximize\r\nreproducibility as well as to foster
future research and development on this\r\ntask, the participants were asked to
submit their working software to the TIRA\r\nexperimentation platform along with
the source code for open source release."
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Heindorf S, Potthast M, Engels G, Stein B. Overview of the Wikidata Vandalism
Detection Task at WSDM Cup 2017. In: WSDM Cup 2017 Notebook Papers. ; 2017.'
apa: Heindorf, S., Potthast, M., Engels, G., & Stein, B. (2017). Overview of
the Wikidata Vandalism Detection Task at WSDM Cup 2017. WSDM Cup 2017 Notebook
Papers.
bibtex: '@inproceedings{Heindorf_Potthast_Engels_Stein_2017, title={Overview of
the Wikidata Vandalism Detection Task at WSDM Cup 2017}, booktitle={WSDM Cup 2017
Notebook Papers}, author={Heindorf, Stefan and Potthast, Martin and Engels, Gregor
and Stein, Benno}, year={2017} }'
chicago: Heindorf, Stefan, Martin Potthast, Gregor Engels, and Benno Stein. “Overview
of the Wikidata Vandalism Detection Task at WSDM Cup 2017.” In WSDM Cup 2017
Notebook Papers, 2017.
ieee: S. Heindorf, M. Potthast, G. Engels, and B. Stein, “Overview of the Wikidata
Vandalism Detection Task at WSDM Cup 2017,” 2017.
mla: Heindorf, Stefan, et al. “Overview of the Wikidata Vandalism Detection Task
at WSDM Cup 2017.” WSDM Cup 2017 Notebook Papers, 2017.
short: 'S. Heindorf, M. Potthast, G. Engels, B. Stein, in: WSDM Cup 2017 Notebook
Papers, 2017.'
date_created: 2019-01-15T08:57:40Z
date_updated: 2022-10-17T11:36:12Z
department:
- _id: '66'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1712.05956
oa: '1'
publication: WSDM Cup 2017 Notebook Papers
status: public
title: Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017
type: conference
user_id: '11871'
year: '2017'
...
---
_id: '33732'
abstract:
- lang: eng
text: "The WSDM Cup 2017 was a data mining challenge held in conjunction with the\r\n10th
International Conference on Web Search and Data Mining (WSDM). It\r\naddressed
key challenges of knowledge bases today: quality assurance and entity\r\nsearch.
For quality assurance, we tackle the task of vandalism detection, based\r\non
a dataset of more than 82 million user-contributed revisions of the Wikidata\r\nknowledge
base, all of which annotated with regard to whether or not they are\r\nvandalism.
For entity search, we tackle the task of triple scoring, using a\r\ndataset that
comprises relevance scores for triples from type-like relations\r\nincluding occupation
and country of citizenship, based on about 10,000 human\r\nrelevance judgements.
For reproducibility sake, participants were asked to\r\nsubmit their software
on TIRA, a cloud-based evaluation platform, and they were\r\nincentivized to share
their approaches open source."
author:
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Hannah
full_name: Bast, Hannah
last_name: Bast
citation:
ama: 'Potthast M, Heindorf S, Bast H. Proceedings of the WSDM Cup 2017: Vandalism
Detection and Triple Scoring. arXiv:171209528. Published online 2017.'
apa: 'Potthast, M., Heindorf, S., & Bast, H. (2017). Proceedings of the WSDM
Cup 2017: Vandalism Detection and Triple Scoring. In arXiv:1712.09528.'
bibtex: '@article{Potthast_Heindorf_Bast_2017, title={Proceedings of the WSDM Cup
2017: Vandalism Detection and Triple Scoring}, journal={arXiv:1712.09528}, author={Potthast,
Martin and Heindorf, Stefan and Bast, Hannah}, year={2017} }'
chicago: 'Potthast, Martin, Stefan Heindorf, and Hannah Bast. “Proceedings of the
WSDM Cup 2017: Vandalism Detection and Triple Scoring.” ArXiv:1712.09528,
2017.'
ieee: 'M. Potthast, S. Heindorf, and H. Bast, “Proceedings of the WSDM Cup 2017:
Vandalism Detection and Triple Scoring,” arXiv:1712.09528. 2017.'
mla: 'Potthast, Martin, et al. “Proceedings of the WSDM Cup 2017: Vandalism Detection
and Triple Scoring.” ArXiv:1712.09528, 2017.'
short: M. Potthast, S. Heindorf, H. Bast, ArXiv:1712.09528 (2017).
date_created: 2022-10-15T19:14:01Z
date_updated: 2022-10-17T11:21:00Z
department:
- _id: '66'
external_id:
arxiv:
- '1712.09528'
language:
- iso: eng
publication: arXiv:1712.09528
status: public
title: 'Proceedings of the WSDM Cup 2017: Vandalism Detection and Triple Scoring'
type: preprint
user_id: '11871'
year: '2017'
...
---
_id: '34631'
author:
- first_name: Kerstin
full_name: Hesse, Kerstin
id: '42608'
last_name: Hesse
orcid: 0000-0003-4125-1941
- first_name: Ian H.
full_name: Sloan, Ian H.
last_name: Sloan
- first_name: Robert S.
full_name: Womersley, Robert S.
last_name: Womersley
citation:
ama: Hesse K, Sloan IH, Womersley RS. Radial basis function approximation of noisy
scattered data on the sphere. Numerische Mathematik. 2017;137(3):579-605.
doi:10.1007/s00211-017-0886-6
apa: Hesse, K., Sloan, I. H., & Womersley, R. S. (2017). Radial basis function
approximation of noisy scattered data on the sphere. Numerische Mathematik,
137(3), 579–605. https://doi.org/10.1007/s00211-017-0886-6
bibtex: '@article{Hesse_Sloan_Womersley_2017, title={Radial basis function approximation
of noisy scattered data on the sphere}, volume={137}, DOI={10.1007/s00211-017-0886-6},
number={3}, journal={Numerische Mathematik}, publisher={Springer Science and Business
Media LLC}, author={Hesse, Kerstin and Sloan, Ian H. and Womersley, Robert S.},
year={2017}, pages={579–605} }'
chicago: 'Hesse, Kerstin, Ian H. Sloan, and Robert S. Womersley. “Radial Basis Function
Approximation of Noisy Scattered Data on the Sphere.” Numerische Mathematik
137, no. 3 (2017): 579–605. https://doi.org/10.1007/s00211-017-0886-6.'
ieee: 'K. Hesse, I. H. Sloan, and R. S. Womersley, “Radial basis function approximation
of noisy scattered data on the sphere,” Numerische Mathematik, vol. 137,
no. 3, pp. 579–605, 2017, doi: 10.1007/s00211-017-0886-6.'
mla: Hesse, Kerstin, et al. “Radial Basis Function Approximation of Noisy Scattered
Data on the Sphere.” Numerische Mathematik, vol. 137, no. 3, Springer Science
and Business Media LLC, 2017, pp. 579–605, doi:10.1007/s00211-017-0886-6.
short: K. Hesse, I.H. Sloan, R.S. Womersley, Numerische Mathematik 137 (2017) 579–605.
date_created: 2022-12-20T17:29:02Z
date_updated: 2023-01-09T08:24:20Z
department:
- _id: '10'
doi: 10.1007/s00211-017-0886-6
intvolume: ' 137'
issue: '3'
keyword:
- Applied Mathematics
- Computational Mathematics
language:
- iso: eng
page: 579-605
publication: Numerische Mathematik
publication_identifier:
issn:
- 0029-599X
- 0945-3245
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Radial basis function approximation of noisy scattered data on the sphere
type: journal_article
user_id: '14931'
volume: 137
year: '2017'
...
---
_id: '24211'
abstract:
- lang: eng
text: A fully-differential receiver structure for fiber links is presented, in which
the photodiode (PD) is DC-coupled to the transimpedance amplifier (TIA) and biased
through the feedback resistors. The biasing voltage is defined by the internal
structure of the input stage. Different options are suggested that allow to adjust
PD biasing. Multiple architecture variants are proposed, that were implemented
in 0.25μm SiGe BiCMOS technology. Initial measurement results are reported, proving
the feasibility of the concept. A 25Gbps hybrid receiver designed to comply with
a specific standard is also presented, featuring large horizontal eye opening
of 800mV, OMA of -15dBm at BER of 10 -6 and power dissipation of 330mW from a
single 3.3V power supply.
author:
- first_name: Sergiy
full_name: Gudyriev, Sergiy
last_name: Gudyriev
- first_name: Christoph
full_name: Scheytt, Christoph
id: '37144'
last_name: Scheytt
orcid: https://orcid.org/0000-0002-5950-6618
- first_name: Lei
full_name: Yan, Lei
last_name: Yan
- first_name: Meuer
full_name: Christian, Meuer
last_name: Christian
- first_name: Lars
full_name: Zimmermann, Lars
last_name: Zimmermann
citation:
ama: Gudyriev S, Scheytt C, Yan L, Christian M, Zimmermann L. Fully-differential,
DC-coupled, Self-biased, Monolithically-integrated Optical Receiver in 0.25μm
Photonic BiCMOS Technology for Multi-channel Fiber Links. IEEE Bipolar/BiCMOS
Circuits and Technology Meeting. Published online 2017. doi:10.1109/BCTM.2017.8112922
apa: Gudyriev, S., Scheytt, C., Yan, L., Christian, M., & Zimmermann, L. (2017).
Fully-differential, DC-coupled, Self-biased, Monolithically-integrated Optical
Receiver in 0.25μm Photonic BiCMOS Technology for Multi-channel Fiber Links. IEEE
Bipolar/BiCMOS Circuits and Technology Meeting. https://doi.org/10.1109/BCTM.2017.8112922
bibtex: '@article{Gudyriev_Scheytt_Yan_Christian_Zimmermann_2017, title={Fully-differential,
DC-coupled, Self-biased, Monolithically-integrated Optical Receiver in 0.25μm
Photonic BiCMOS Technology for Multi-channel Fiber Links}, DOI={10.1109/BCTM.2017.8112922},
journal={IEEE Bipolar/BiCMOS Circuits and Technology Meeting}, author={Gudyriev,
Sergiy and Scheytt, Christoph and Yan, Lei and Christian, Meuer and Zimmermann,
Lars}, year={2017} }'
chicago: Gudyriev, Sergiy, Christoph Scheytt, Lei Yan, Meuer Christian, and Lars
Zimmermann. “Fully-Differential, DC-Coupled, Self-Biased, Monolithically-Integrated
Optical Receiver in 0.25μm Photonic BiCMOS Technology for Multi-Channel Fiber
Links.” IEEE Bipolar/BiCMOS Circuits and Technology Meeting, 2017. https://doi.org/10.1109/BCTM.2017.8112922.
ieee: 'S. Gudyriev, C. Scheytt, L. Yan, M. Christian, and L. Zimmermann, “Fully-differential,
DC-coupled, Self-biased, Monolithically-integrated Optical Receiver in 0.25μm
Photonic BiCMOS Technology for Multi-channel Fiber Links,” IEEE Bipolar/BiCMOS
Circuits and Technology Meeting, 2017, doi: 10.1109/BCTM.2017.8112922.'
mla: Gudyriev, Sergiy, et al. “Fully-Differential, DC-Coupled, Self-Biased, Monolithically-Integrated
Optical Receiver in 0.25μm Photonic BiCMOS Technology for Multi-Channel Fiber
Links.” IEEE Bipolar/BiCMOS Circuits and Technology Meeting, 2017, doi:10.1109/BCTM.2017.8112922.
short: S. Gudyriev, C. Scheytt, L. Yan, M. Christian, L. Zimmermann, IEEE Bipolar/BiCMOS
Circuits and Technology Meeting (2017).
conference:
end_date: 2017.10.21
start_date: 2017.10.19
date_created: 2021-09-13T08:15:30Z
date_updated: 2023-01-10T13:02:44Z
department:
- _id: '58'
- _id: '230'
doi: 10.1109/BCTM.2017.8112922
language:
- iso: eng
publication: IEEE Bipolar/BiCMOS Circuits and Technology Meeting
publication_identifier:
eissn:
- ' 2378-590X'
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/8112922
status: public
title: Fully-differential, DC-coupled, Self-biased, Monolithically-integrated Optical
Receiver in 0.25μm Photonic BiCMOS Technology for Multi-channel Fiber Links
type: journal_article
user_id: '15931'
year: '2017'
...
---
_id: '24226'
author:
- first_name: Christoph
full_name: Scheytt, Christoph
id: '37144'
last_name: Scheytt
orcid: https://orcid.org/0000-0002-5950-6618
citation:
ama: 'Scheytt C. Silicon Photonics Microsystems for Communications and Sensing.
In: W3+Fair on Optoelectronics, Electronics, and Mechanics. ; 2017.'
apa: Scheytt, C. (2017). Silicon Photonics Microsystems for Communications and Sensing.
W3+Fair on Optoelectronics, Electronics, and Mechanics.
bibtex: '@inproceedings{Scheytt_2017, place={Wetzlar, Germany}, title={Silicon Photonics
Microsystems for Communications and Sensing}, booktitle={W3+Fair on Optoelectronics,
Electronics, and Mechanics}, author={Scheytt, Christoph}, year={2017} }'
chicago: Scheytt, Christoph. “Silicon Photonics Microsystems for Communications
and Sensing.” In W3+Fair on Optoelectronics, Electronics, and Mechanics.
Wetzlar, Germany, 2017.
ieee: C. Scheytt, “Silicon Photonics Microsystems for Communications and Sensing,”
2017.
mla: Scheytt, Christoph. “Silicon Photonics Microsystems for Communications and
Sensing.” W3+Fair on Optoelectronics, Electronics, and Mechanics, 2017.
short: 'C. Scheytt, in: W3+Fair on Optoelectronics, Electronics, and Mechanics,
Wetzlar, Germany, 2017.'
conference:
end_date: 2017.02.22
start_date: 2017.02.21
date_created: 2021-09-13T08:20:43Z
date_updated: 2023-01-10T13:04:16Z
department:
- _id: '58'
- _id: '230'
language:
- iso: eng
place: Wetzlar, Germany
publication: W3+Fair on Optoelectronics, Electronics, and Mechanics
related_material:
link:
- relation: confirmation
url: https://www.technologieland-hessen.de/news/28134
status: public
title: Silicon Photonics Microsystems for Communications and Sensing
type: conference
user_id: '15931'
year: '2017'
...
---
_id: '48305'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Nona
full_name: Naderi, Nona
last_name: Naderi
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Yufang
full_name: Hou, Yufang
last_name: Hou
- first_name: Graeme
full_name: Hirst, Graeme
last_name: Hirst
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Wachsmuth H, Naderi N, Habernal I, et al. Argumentation Quality Assessment:
Theory vs. Practice. In: Proceedings of the 55th Annual Meeting of the Association
for Computational Linguistics (Volume 2: Short Papers). Association
for Computational Linguistics; 2017. doi:10.18653/v1/p17-2039'
apa: 'Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I.,
& Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice.
Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers). https://doi.org/10.18653/v1/p17-2039'
bibtex: '@inproceedings{Wachsmuth_Naderi_Habernal_Hou_Hirst_Gurevych_Stein_2017,
title={Argumentation Quality Assessment: Theory vs. Practice}, DOI={10.18653/v1/p17-2039},
booktitle={Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers)}, publisher={Association
for Computational Linguistics}, author={Wachsmuth, Henning and Naderi, Nona and
Habernal, Ivan and Hou, Yufang and Hirst, Graeme and Gurevych, Iryna and Stein,
Benno}, year={2017} }'
chicago: 'Wachsmuth, Henning, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst,
Iryna Gurevych, and Benno Stein. “Argumentation Quality Assessment: Theory vs.
Practice.” In Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers). Association for
Computational Linguistics, 2017. https://doi.org/10.18653/v1/p17-2039.'
ieee: 'H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs.
Practice,” 2017, doi: 10.18653/v1/p17-2039.'
mla: 'Wachsmuth, Henning, et al. “Argumentation Quality Assessment: Theory vs. Practice.”
Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers), Association for Computational Linguistics,
2017, doi:10.18653/v1/p17-2039.'
short: 'H. Wachsmuth, N. Naderi, I. Habernal, Y. Hou, G. Hirst, I. Gurevych, B.
Stein, in: Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers), Association for Computational
Linguistics, 2017.'
date_created: 2023-10-19T08:30:11Z
date_updated: 2023-10-19T12:08:34Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/p17-2039
language:
- iso: eng
publication: 'Proceedings of the 55th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: 'Argumentation Quality Assessment: Theory vs. Practice'
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '11763'
abstract:
- lang: eng
text: In this paper, we apply a high-resolution approach, i.e. the matrix pencil
method (MPM), to the FMCW automotive radar system to separate the neighboring
targets, which share similar parameters, i.e. range, relative speed and azimuth
angle, and cause overlapping in the radar spectrum. In order to adapt the 1D model
of MPM to the 2D range-velocity spectrum and simultaneously limit the computational
cost, some preprocessing steps are proposed to construct a novel separation algorithm.
Finally, this algorithm is evaluated in both simulation and real data, and the
results indicate a promising performance.
author:
- first_name: Tai
full_name: Fei, Tai
last_name: Fei
- first_name: Christopher
full_name: Grimm, Christopher
last_name: Grimm
- first_name: Ridha
full_name: Farhoud, Ridha
last_name: Farhoud
- first_name: Tobias
full_name: Breddermann, Tobias
last_name: Breddermann
- first_name: Ernst
full_name: Warsitz, Ernst
last_name: Warsitz
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Fei T, Grimm C, Farhoud R, Breddermann T, Warsitz E, Haeb-Umbach R. A Novel
Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive
Radar Systems. In: IEEE International Conference on Microwave, Communications,
Anthenas and Electronic Systems. ; 2017.'
apa: Fei, T., Grimm, C., Farhoud, R., Breddermann, T., Warsitz, E., & Haeb-Umbach,
R. (2017). A Novel Target Separation Algorithm Applied to The Two-Dimensional
Spectrum for FMCW Automotive Radar Systems. IEEE International Conference on
Microwave, Communications, Anthenas and Electronic Systems.
bibtex: '@inproceedings{Fei_Grimm_Farhoud_Breddermann_Warsitz_Haeb-Umbach_2017,
title={A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum
for FMCW Automotive Radar Systems}, booktitle={IEEE International conference on
microwave, communications, anthenas and electronic systems}, author={Fei, Tai
and Grimm, Christopher and Farhoud, Ridha and Breddermann, Tobias and Warsitz,
Ernst and Haeb-Umbach, Reinhold}, year={2017} }'
chicago: Fei, Tai, Christopher Grimm, Ridha Farhoud, Tobias Breddermann, Ernst Warsitz,
and Reinhold Haeb-Umbach. “A Novel Target Separation Algorithm Applied to The
Two-Dimensional Spectrum for FMCW Automotive Radar Systems.” In IEEE International
Conference on Microwave, Communications, Anthenas and Electronic Systems,
2017.
ieee: T. Fei, C. Grimm, R. Farhoud, T. Breddermann, E. Warsitz, and R. Haeb-Umbach,
“A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for
FMCW Automotive Radar Systems,” 2017.
mla: Fei, Tai, et al. “A Novel Target Separation Algorithm Applied to The Two-Dimensional
Spectrum for FMCW Automotive Radar Systems.” IEEE International Conference
on Microwave, Communications, Anthenas and Electronic Systems, 2017.
short: 'T. Fei, C. Grimm, R. Farhoud, T. Breddermann, E. Warsitz, R. Haeb-Umbach,
in: IEEE International Conference on Microwave, Communications, Anthenas and Electronic
Systems, 2017.'
date_created: 2019-07-12T05:27:47Z
date_updated: 2023-11-20T16:37:49Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2017/COMCAS_2017_FeiHaeb_paper.pdf
oa: '1'
publication: IEEE International conference on microwave, communications, anthenas
and electronic systems
quality_controlled: '1'
status: public
title: A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum
for FMCW Automotive Radar Systems
type: conference
user_id: '242'
year: '2017'
...
---
_id: '11772'
abstract:
- lang: eng
text: In this paper, we present a hypothesis test for the classification of moving
targets in the sight of an automotive radar sensor. For this purpose, a statistical
model of the relative velocity between a stationary target and the radar sensor
has been developed. With respect to the statistical properties a confidence interval
is calculated and targets with relative velocity lying outside this interval are
classified as moving targets. Compared to existing algorithms our approach is
able to give robust classification independent of the number of observed moving
targets and is characterized by an instantaneous classification, a simple parameterization
of the model and an automatic calculation of the discriminating threshold.
author:
- first_name: Christopher
full_name: Grimm, Christopher
last_name: Grimm
- first_name: Tobias
full_name: Breddermann, Tobias
last_name: Breddermann
- first_name: Ridha
full_name: Farhoud, Ridha
last_name: Farhoud
- first_name: Tai
full_name: Fei, Tai
last_name: Fei
- first_name: Ernst
full_name: Warsitz, Ernst
last_name: Warsitz
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Grimm C, Breddermann T, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Hypothesis
Test for the Detection of Moving Targets in Automotive Radar. In: IEEE International
Conference on Microwave, Communications, Anthenas and Electronic Systems (COMCAS).
; 2017.'
apa: Grimm, C., Breddermann, T., Farhoud, R., Fei, T., Warsitz, E., & Haeb-Umbach,
R. (2017). Hypothesis Test for the Detection of Moving Targets in Automotive Radar.
IEEE International Conference on Microwave, Communications, Anthenas and Electronic
Systems (COMCAS).
bibtex: '@inproceedings{Grimm_Breddermann_Farhoud_Fei_Warsitz_Haeb-Umbach_2017,
title={Hypothesis Test for the Detection of Moving Targets in Automotive Radar},
booktitle={IEEE International conference on microwave, communications, anthenas
and electronic systems (COMCAS)}, author={Grimm, Christopher and Breddermann,
Tobias and Farhoud, Ridha and Fei, Tai and Warsitz, Ernst and Haeb-Umbach, Reinhold},
year={2017} }'
chicago: Grimm, Christopher, Tobias Breddermann, Ridha Farhoud, Tai Fei, Ernst Warsitz,
and Reinhold Haeb-Umbach. “Hypothesis Test for the Detection of Moving Targets
in Automotive Radar.” In IEEE International Conference on Microwave, Communications,
Anthenas and Electronic Systems (COMCAS), 2017.
ieee: C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach,
“Hypothesis Test for the Detection of Moving Targets in Automotive Radar,” 2017.
mla: Grimm, Christopher, et al. “Hypothesis Test for the Detection of Moving Targets
in Automotive Radar.” IEEE International Conference on Microwave, Communications,
Anthenas and Electronic Systems (COMCAS), 2017.
short: 'C. Grimm, T. Breddermann, R. Farhoud, T. Fei, E. Warsitz, R. Haeb-Umbach,
in: IEEE International Conference on Microwave, Communications, Anthenas and Electronic
Systems (COMCAS), 2017.'
date_created: 2019-07-12T05:27:57Z
date_updated: 2023-11-20T16:37:59Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2017/COMCAS_2017_GrimmHaeb_paper.pdf
oa: '1'
publication: IEEE International conference on microwave, communications, anthenas
and electronic systems (COMCAS)
quality_controlled: '1'
status: public
title: Hypothesis Test for the Detection of Moving Targets in Automotive Radar
type: conference
user_id: '242'
year: '2017'
...
---
_id: '11759'
abstract:
- lang: eng
text: 'Variational Autoencoders (VAEs) have been shown to provide efficient neural-network-based
approximate Bayesian inference for observation models for which exact inference
is intractable. Its extension, the so-called Structured VAE (SVAE) allows inference
in the presence of both discrete and continuous latent variables. Inspired by
this extension, we developed a VAE with Hidden Markov Models (HMMs) as latent
models. We applied the resulting HMM-VAE to the task of acoustic unit discovery
in a zero resource scenario. Starting from an initial model based on variational
inference in an HMM with Gaussian Mixture Model (GMM) emission probabilities,
the accuracy of the acoustic unit discovery could be significantly improved by
the HMM-VAE. In doing so we were able to demonstrate for an unsupervised learning
task what is well-known in the supervised learning case: Neural networks provide
superior modeling power compared to GMMs.'
author:
- first_name: Janek
full_name: Ebbers, Janek
id: '34851'
last_name: Ebbers
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Thomas
full_name: Glarner, Thomas
id: '14169'
last_name: Glarner
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Bhiksha
full_name: Raj, Bhiksha
last_name: Raj
citation:
ama: 'Ebbers J, Heymann J, Drude L, Glarner T, Haeb-Umbach R, Raj B. Hidden Markov
Model Variational Autoencoder for Acoustic Unit Discovery. In: INTERSPEECH
2017, Stockholm, Schweden. ; 2017.'
apa: Ebbers, J., Heymann, J., Drude, L., Glarner, T., Haeb-Umbach, R., & Raj,
B. (2017). Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery.
INTERSPEECH 2017, Stockholm, Schweden.
bibtex: '@inproceedings{Ebbers_Heymann_Drude_Glarner_Haeb-Umbach_Raj_2017, title={Hidden
Markov Model Variational Autoencoder for Acoustic Unit Discovery}, booktitle={INTERSPEECH
2017, Stockholm, Schweden}, author={Ebbers, Janek and Heymann, Jahn and Drude,
Lukas and Glarner, Thomas and Haeb-Umbach, Reinhold and Raj, Bhiksha}, year={2017}
}'
chicago: Ebbers, Janek, Jahn Heymann, Lukas Drude, Thomas Glarner, Reinhold Haeb-Umbach,
and Bhiksha Raj. “Hidden Markov Model Variational Autoencoder for Acoustic Unit
Discovery.” In INTERSPEECH 2017, Stockholm, Schweden, 2017.
ieee: J. Ebbers, J. Heymann, L. Drude, T. Glarner, R. Haeb-Umbach, and B. Raj, “Hidden
Markov Model Variational Autoencoder for Acoustic Unit Discovery,” 2017.
mla: Ebbers, Janek, et al. “Hidden Markov Model Variational Autoencoder for Acoustic
Unit Discovery.” INTERSPEECH 2017, Stockholm, Schweden, 2017.
short: 'J. Ebbers, J. Heymann, L. Drude, T. Glarner, R. Haeb-Umbach, B. Raj, in:
INTERSPEECH 2017, Stockholm, Schweden, 2017.'
date_created: 2019-07-12T05:27:42Z
date_updated: 2023-11-22T08:29:06Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2017/INTERSPEECH_2017_Ebbers_paper.pdf
oa: '1'
publication: INTERSPEECH 2017, Stockholm, Schweden
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/INTERSPEECH_2017_Ebbers_poster.pdf
- description: Slides
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/INTERSPEECH_2017_Ebbers_slides.pdf
status: public
title: Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery
type: conference
user_id: '34851'
year: '2017'
...
---
_id: '46355'
abstract:
- lang: eng
text: "In this chapter we present the adaptions of the recently proposed Directed
Search method to the context of unconstrained parameter dependent multi-objective
optimization problems (PMOPs). The new method, called \U0001D706-DS, is capable
of performing a movement both toward and along the solution set of a given differentiable
PMOP. We first discuss the basic variants of the method that use gradient information
and describe subsequently modifications that allow for a gradient free realization.
Finally, we show that \U0001D706-DS can be used to understand the behavior of
stochastic local search within PMOPs to a certain extent which might be interesting
for the development of future local search engines, or evolutionary strategies,
for the treatment of such problems. We underline all our statements with several
numerical results indicating the strength of the novel approach."
author:
- first_name: Sosa Hernández V
full_name: Adrián, Sosa Hernández V
last_name: Adrián
- first_name: A
full_name: Lara, A
last_name: Lara
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: G
full_name: Rudolph, G
last_name: Rudolph
- first_name: O
full_name: Schütze, O
last_name: Schütze
citation:
ama: 'Adrián SHV, Lara A, Trautmann H, Rudolph G, Schütze O. The Directed Search
Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems.
In: Schütze O, Trujillo L, Legrand P, Maldonado Y, eds. NEO 15. Springer
International Publishing; 2017:281–330. doi:10.1007/978-3-319-44003-3_12'
apa: Adrián, S. H. V., Lara, A., Trautmann, H., Rudolph, G., & Schütze, O. (2017).
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective
Optimization Problems. In O. Schütze, L. Trujillo, P. Legrand, & Y. Maldonado
(Eds.), NEO 15 (pp. 281–330). Springer International Publishing. https://doi.org/10.1007/978-3-319-44003-3_12
bibtex: '@inbook{Adrián_Lara_Trautmann_Rudolph_Schütze_2017, place={Cham}, title={The
Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization
Problems}, DOI={10.1007/978-3-319-44003-3_12},
booktitle={NEO 15}, publisher={Springer International Publishing}, author={Adrián,
Sosa Hernández V and Lara, A and Trautmann, Heike and Rudolph, G and Schütze,
O}, editor={Schütze, O and Trujillo, L and Legrand, P and Maldonado, Y}, year={2017},
pages={281–330} }'
chicago: 'Adrián, Sosa Hernández V, A Lara, Heike Trautmann, G Rudolph, and O Schütze.
“The Directed Search Method for Unconstrained Parameter Dependent Multi-Objective
Optimization Problems.” In NEO 15, edited by O Schütze, L Trujillo, P Legrand,
and Y Maldonado, 281–330. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-44003-3_12.'
ieee: 'S. H. V. Adrián, A. Lara, H. Trautmann, G. Rudolph, and O. Schütze, “The
Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization
Problems,” in NEO 15, O. Schütze, L. Trujillo, P. Legrand, and Y. Maldonado,
Eds. Cham: Springer International Publishing, 2017, pp. 281–330.'
mla: Adrián, Sosa Hernández V., et al. “The Directed Search Method for Unconstrained
Parameter Dependent Multi-Objective Optimization Problems.” NEO 15, edited
by O Schütze et al., Springer International Publishing, 2017, pp. 281–330, doi:10.1007/978-3-319-44003-3_12.
short: 'S.H.V. Adrián, A. Lara, H. Trautmann, G. Rudolph, O. Schütze, in: O. Schütze,
L. Trujillo, P. Legrand, Y. Maldonado (Eds.), NEO 15, Springer International Publishing,
Cham, 2017, pp. 281–330.'
date_created: 2023-08-04T15:01:27Z
date_updated: 2023-10-16T13:34:49Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-44003-3_12
editor:
- first_name: O
full_name: Schütze, O
last_name: Schütze
- first_name: L
full_name: Trujillo, L
last_name: Trujillo
- first_name: P
full_name: Legrand, P
last_name: Legrand
- first_name: Y
full_name: Maldonado, Y
last_name: Maldonado
language:
- iso: eng
page: 281–330
place: Cham
publication: NEO 15
publication_identifier:
isbn:
- 978-3-319-44003-3
publisher: Springer International Publishing
status: public
title: The Directed Search Method for Unconstrained Parameter Dependent Multi-objective
Optimization Problems
type: book_chapter
user_id: '15504'
year: '2017'
...
---
_id: '46360'
abstract:
- lang: eng
text: Nowadays customers expect a seamless interaction with companies throughout
all available communication channels. However, many companies rely on different
software solutions to handle each channel, which leads to heterogeneous IT infrastructures
and isolated data sources. Omni-Channel CRM is a holistic approach towards a unified
view on the customer across all channels. This paper introduces three case studies
which demonstrate challenges of omni-channel CRM and the value it can provide.
The first case study shows how to integrate and visualise data from different
sources which can support operational and strategic decision. In the second case
study, a social media analysis approach is discussed which provides benefits by
offering reports of service performance across channels. The third case study
applies customer segmentation to an online fashion retailer in order to identify
customer profiles.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Markus
full_name: Heuchert, Markus
last_name: Heuchert
- first_name: Leschek
full_name: Homann, Leschek
last_name: Homann
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Gottfried
full_name: Vossen, Gottfried
last_name: Vossen
- first_name: Jörg
full_name: Becker, Jörg
last_name: Becker
- first_name: Karsten
full_name: Kraume, Karsten
last_name: Kraume
citation:
ama: 'Carnein M, Heuchert M, Homann L, et al. Towards Efficient and Informative
Omni-Channel Customer Relationship Management. In: de Cesare S, Ulrich F, eds.
Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17). Vol 10651. Lecture Notes in Computer Science. Springer International
Publishing; 2017:69–78. doi:10.1007/978-3-319-70625-2_7'
apa: Carnein, M., Heuchert, M., Homann, L., Trautmann, H., Vossen, G., Becker, J.,
& Kraume, K. (2017). Towards Efficient and Informative Omni-Channel Customer
Relationship Management. In S. de Cesare & F. Ulrich (Eds.), Proceedings
of the 36$^th$ International Conference on Conceptual Modeling (ER’17) (Vol.
10651, pp. 69–78). Springer International Publishing. https://doi.org/10.1007/978-3-319-70625-2_7
bibtex: '@inproceedings{Carnein_Heuchert_Homann_Trautmann_Vossen_Becker_Kraume_2017,
place={Valencia, Spain}, series={Lecture Notes in Computer Science}, title={Towards
Efficient and Informative Omni-Channel Customer Relationship Management}, volume={10651},
DOI={10.1007/978-3-319-70625-2_7},
booktitle={Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)}, publisher={Springer International Publishing}, author={Carnein, Matthias
and Heuchert, Markus and Homann, Leschek and Trautmann, Heike and Vossen, Gottfried
and Becker, Jörg and Kraume, Karsten}, editor={de Cesare, Sergio and Ulrich, Frank},
year={2017}, pages={69–78}, collection={Lecture Notes in Computer Science} }'
chicago: 'Carnein, Matthias, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried
Vossen, Jörg Becker, and Karsten Kraume. “Towards Efficient and Informative Omni-Channel
Customer Relationship Management.” In Proceedings of the 36$^th$ International
Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and
Frank Ulrich, 10651:69–78. Lecture Notes in Computer Science. Valencia, Spain:
Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_7.'
ieee: 'M. Carnein et al., “Towards Efficient and Informative Omni-Channel
Customer Relationship Management,” in Proceedings of the 36$^th$ International
Conference on Conceptual Modeling (ER’17), 2017, vol. 10651, pp. 69–78, doi:
10.1007/978-3-319-70625-2_7.'
mla: Carnein, Matthias, et al. “Towards Efficient and Informative Omni-Channel Customer
Relationship Management.” Proceedings of the 36$^th$ International Conference
on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich,
vol. 10651, Springer International Publishing, 2017, pp. 69–78, doi:10.1007/978-3-319-70625-2_7.
short: 'M. Carnein, M. Heuchert, L. Homann, H. Trautmann, G. Vossen, J. Becker,
K. Kraume, in: S. de Cesare, F. Ulrich (Eds.), Proceedings of the 36$^th$ International
Conference on Conceptual Modeling (ER’17), Springer International Publishing,
Valencia, Spain, 2017, pp. 69–78.'
date_created: 2023-08-04T15:05:43Z
date_updated: 2023-10-16T13:36:40Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-70625-2_7
editor:
- first_name: Sergio
full_name: de Cesare, Sergio
last_name: de Cesare
- first_name: Frank
full_name: Ulrich, Frank
last_name: Ulrich
intvolume: ' 10651'
language:
- iso: eng
page: 69–78
place: Valencia, Spain
publication: Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)
publication_identifier:
isbn:
- 978-3-319-70625-2
publisher: Springer International Publishing
series_title: Lecture Notes in Computer Science
status: public
title: Towards Efficient and Informative Omni-Channel Customer Relationship Management
type: conference
user_id: '15504'
volume: 10651
year: '2017'
...
---
_id: '46361'
abstract:
- lang: eng
text: Until recently, customer service was exclusively provided over traditional
channels. Cus- tomers could write an email or call a service center if they had
questions or problems with a product or service. In recent times, this has changed
dramatically as companies explore new channels to offer customer service. With
the increasing popularity of social media, more companies thrive to provide customer
service also over Facebook and Twitter. Companies aim to provide a better customer
ex- perience by offering more convenient channels to contact a company. In addition,
this unburdens traditional channels which are costly to maintain. This paper empirically
evaluates the performance of customer service in social media by analysing a multitude
of companies in the airline industry. We have collected several million customer
service requests from Twitter and Facebook and auto- matically analyzed how efficient
the service strategies of the respective companies are in terms of response rate
and time.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Leschek
full_name: Homann, Leschek
last_name: Homann
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Gottfried
full_name: Vossen, Gottfried
last_name: Vossen
- first_name: Karsten
full_name: Kraume, Karsten
last_name: Kraume
citation:
ama: 'Carnein M, Homann L, Trautmann H, Vossen G, Kraume K. Customer Service in
Social Media — An Empirical Study of the Airline Industry. In: Ritter N, Schwarz
H, Klettke M, Thor A, Kopp O, Bernhard MW, eds. Proceedings of the 17$^th$
Conference on Database Systems for Business, Technology, and Web (BTW ’17).
Vol P-266. Lecture Notes in Informatics (LNI). Gesellschaft für Informatik; 2017:33–40.'
apa: 'Carnein, M., Homann, L., Trautmann, H., Vossen, G., & Kraume, K. (2017).
Customer Service in Social Media — An Empirical Study of the Airline Industry.
In N. Ritter, H. Schwarz, M. Klettke, A. Thor, O. Kopp, & M. W. Bernhard (Eds.),
Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology,
and Web (BTW ’17): Vol. P-266 (pp. 33–40). Gesellschaft für Informatik.'
bibtex: '@inproceedings{Carnein_Homann_Trautmann_Vossen_Kraume_2017, place={Stuttgart,
Germany}, series={Lecture Notes in Informatics (LNI)}, title={Customer Service
in Social Media — An Empirical Study of the Airline Industry}, volume={P-266},
booktitle={Proceedings of the 17$^th$ Conference on Database Systems for Business,
Technology, and Web (BTW ’17)}, publisher={Gesellschaft für Informatik}, author={Carnein,
Matthias and Homann, Leschek and Trautmann, Heike and Vossen, Gottfried and Kraume,
Karsten}, editor={Ritter, Norbert and Schwarz, Holger and Klettke, Meike and Thor,
Andreas and Kopp, Oliver and Bernhard, Matthias Wieland}, year={2017}, pages={33–40},
collection={Lecture Notes in Informatics (LNI)} }'
chicago: 'Carnein, Matthias, Leschek Homann, Heike Trautmann, Gottfried Vossen,
and Karsten Kraume. “Customer Service in Social Media — An Empirical Study of
the Airline Industry.” In Proceedings of the 17$^th$ Conference on Database
Systems for Business, Technology, and Web (BTW ’17), edited by Norbert Ritter,
Holger Schwarz, Meike Klettke, Andreas Thor, Oliver Kopp, and Matthias Wieland
Bernhard, P-266:33–40. Lecture Notes in Informatics (LNI). Stuttgart, Germany:
Gesellschaft für Informatik, 2017.'
ieee: M. Carnein, L. Homann, H. Trautmann, G. Vossen, and K. Kraume, “Customer Service
in Social Media — An Empirical Study of the Airline Industry,” in Proceedings
of the 17$^th$ Conference on Database Systems for Business, Technology, and Web
(BTW ’17), 2017, vol. P-266, pp. 33–40.
mla: Carnein, Matthias, et al. “Customer Service in Social Media — An Empirical
Study of the Airline Industry.” Proceedings of the 17$^th$ Conference on Database
Systems for Business, Technology, and Web (BTW ’17), edited by Norbert Ritter
et al., vol. P-266, Gesellschaft für Informatik, 2017, pp. 33–40.
short: 'M. Carnein, L. Homann, H. Trautmann, G. Vossen, K. Kraume, in: N. Ritter,
H. Schwarz, M. Klettke, A. Thor, O. Kopp, M.W. Bernhard (Eds.), Proceedings of
the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW
’17), Gesellschaft für Informatik, Stuttgart, Germany, 2017, pp. 33–40.'
date_created: 2023-08-04T15:06:41Z
date_updated: 2023-10-16T13:36:58Z
department:
- _id: '34'
- _id: '819'
editor:
- first_name: Norbert
full_name: Ritter, Norbert
last_name: Ritter
- first_name: Holger
full_name: Schwarz, Holger
last_name: Schwarz
- first_name: Meike
full_name: Klettke, Meike
last_name: Klettke
- first_name: Andreas
full_name: Thor, Andreas
last_name: Thor
- first_name: Oliver
full_name: Kopp, Oliver
last_name: Kopp
- first_name: Matthias Wieland
full_name: Bernhard, Matthias Wieland
last_name: Bernhard
language:
- iso: eng
page: 33–40
place: Stuttgart, Germany
publication: Proceedings of the 17$^th$ Conference on Database Systems for Business,
Technology, and Web (BTW ’17)
publication_identifier:
issn:
- 978-3-88579-660-2
publisher: Gesellschaft für Informatik
series_title: Lecture Notes in Informatics (LNI)
status: public
title: Customer Service in Social Media — An Empirical Study of the Airline Industry
type: conference
user_id: '15504'
volume: P-266
year: '2017'
...
---
_id: '46356'
abstract:
- lang: eng
text: Integrating user preferences in Evolutionary Multiobjective Optimization (EMO)
is currently a prevalent research topic. There is a large variety of preference
handling methods (originated from Multicriteria decision making, MCDM) and EMO
methods, which have been combined in various ways. This paper proposes a Web Ontology
Language (OWL) ontology to model and systematize the knowledge of preference-based
multiobjective evolutionary algorithms (PMOEAs). Detailed procedure is given on
how to build and use the ontology with the help of Protégé. Different use-cases,
including training new learners, querying and reasoning are exemplified and show
remarkable benefit for both EMO and MCDM communities.
author:
- first_name: L
full_name: Li, L
last_name: Li
- first_name: I
full_name: Yevseyeva, I
last_name: Yevseyeva
- first_name: V
full_name: Basto-Fernandes, V
last_name: Basto-Fernandes
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: N
full_name: Jing, N
last_name: Jing
- first_name: M
full_name: Emmerich, M
last_name: Emmerich
citation:
ama: 'Li L, Yevseyeva I, Basto-Fernandes V, Trautmann H, Jing N, Emmerich M. Building
and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.
In: Trautmann H, Rudolph G, Klamroth K, et al., eds. Evolutionary Multi-Criterion
Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March
19-22, 2017, Proceedings. Springer International Publishing; 2017:406–421.
doi:10.1007/978-3-319-54157-0_28'
apa: 'Li, L., Yevseyeva, I., Basto-Fernandes, V., Trautmann, H., Jing, N., &
Emmerich, M. (2017). Building and Using an Ontology of Preference-Based Multiobjective
Evolutionary Algorithms. In H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze,
M. Wiecek, Y. Jin, & C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization:
9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017,
Proceedings (pp. 406–421). Springer International Publishing. https://doi.org/10.1007/978-3-319-54157-0_28'
bibtex: '@inbook{Li_Yevseyeva_Basto-Fernandes_Trautmann_Jing_Emmerich_2017, place={Cham},
title={Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms}, DOI={10.1007/978-3-319-54157-0_28},
booktitle={Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings}, publisher={Springer
International Publishing}, author={Li, L and Yevseyeva, I and Basto-Fernandes,
V and Trautmann, Heike and Jing, N and Emmerich, M}, editor={Trautmann, H and
Rudolph, G and Klamroth, K and Schütze, O and Wiecek, M and Jin, Y and Grimme,
C}, year={2017}, pages={406–421} }'
chicago: 'Li, L, I Yevseyeva, V Basto-Fernandes, Heike Trautmann, N Jing, and M
Emmerich. “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms.” In Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited
by H Trautmann, G Rudolph, K Klamroth, O Schütze, M Wiecek, Y Jin, and C Grimme,
406–421. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_28.'
ieee: 'L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, and M. Emmerich,
“Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms,” in Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, H.
Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme,
Eds. Cham: Springer International Publishing, 2017, pp. 406–421.'
mla: 'Li, L., et al. “Building and Using an Ontology of Preference-Based Multiobjective
Evolutionary Algorithms.” Evolutionary Multi-Criterion Optimization: 9$^th$
International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings,
edited by H Trautmann et al., Springer International Publishing, 2017, pp. 406–421,
doi:10.1007/978-3-319-54157-0_28.'
short: 'L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, M. Emmerich,
in: H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme
(Eds.), Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, Springer International
Publishing, Cham, 2017, pp. 406–421.'
date_created: 2023-08-04T15:02:20Z
date_updated: 2023-10-16T13:35:17Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-54157-0_28
editor:
- first_name: H
full_name: Trautmann, H
last_name: Trautmann
- first_name: G
full_name: Rudolph, G
last_name: Rudolph
- first_name: K
full_name: Klamroth, K
last_name: Klamroth
- first_name: O
full_name: Schütze, O
last_name: Schütze
- first_name: M
full_name: Wiecek, M
last_name: Wiecek
- first_name: Y
full_name: Jin, Y
last_name: Jin
- first_name: C
full_name: Grimme, C
last_name: Grimme
language:
- iso: eng
page: 406–421
place: Cham
publication: 'Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings'
publication_identifier:
isbn:
- 978-3-319-54157-0
publisher: Springer International Publishing
status: public
title: Building and Using an Ontology of Preference-Based Multiobjective Evolutionary
Algorithms
type: book_chapter
user_id: '15504'
year: '2017'
...
---
_id: '46357'
abstract:
- lang: eng
text: The liner shipping fleet repositioning problem (LSFRP) is a central optimization
problem within the container shipping industry. Several approaches exist for solving
this problem using exact and heuristic techniques, however all of them use a single
objective function for determining an optimal solution. We propose a multi-objective
approach based on a simulated annealing heuristic so that repositioning coordinators
can better balance profit making with cost-savings and environmental sustainability.
As the first multi-objective approach in the area of liner shipping routing, we
show that giving more options to decision makers need not be costly. Indeed, our
approach requires no extra runtime than a weighted objective heuristic and provides
a rich set of solutions along the Pareto front.
author:
- first_name: K
full_name: Tierney, K
last_name: Tierney
- first_name: J
full_name: Handali, J
last_name: Handali
- first_name: C
full_name: Grimme, C
last_name: Grimme
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Tierney K, Handali J, Grimme C, Trautmann H. Multi-objective Optimization
for Liner Shipping Fleet Repositioning. In: Trautmann H, Rudolph G, Klamroth K,
et al., eds. Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Springer
International Publishing; 2017:622–638. doi:10.1007/978-3-319-54157-0_42'
apa: 'Tierney, K., Handali, J., Grimme, C., & Trautmann, H. (2017). Multi-objective
Optimization for Liner Shipping Fleet Repositioning. In H. Trautmann, G. Rudolph,
K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, & C. Grimme (Eds.), Evolutionary
Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster,
Germany, March 19-22, 2017, Proceedings (pp. 622–638). Springer International
Publishing. https://doi.org/10.1007/978-3-319-54157-0_42'
bibtex: '@inbook{Tierney_Handali_Grimme_Trautmann_2017, place={Cham}, title={Multi-objective
Optimization for Liner Shipping Fleet Repositioning}, DOI={10.1007/978-3-319-54157-0_42},
booktitle={Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings}, publisher={Springer
International Publishing}, author={Tierney, K and Handali, J and Grimme, C and
Trautmann, Heike}, editor={Trautmann, H and Rudolph, G and Klamroth, K and Schütze,
O and Wiecek, M and Jin, Y and Grimme, C}, year={2017}, pages={622–638} }'
chicago: 'Tierney, K, J Handali, C Grimme, and Heike Trautmann. “Multi-Objective
Optimization for Liner Shipping Fleet Repositioning.” In Evolutionary Multi-Criterion
Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March
19-22, 2017, Proceedings, edited by H Trautmann, G Rudolph, K Klamroth, O
Schütze, M Wiecek, Y Jin, and C Grimme, 622–638. Cham: Springer International
Publishing, 2017. https://doi.org/10.1007/978-3-319-54157-0_42.'
ieee: 'K. Tierney, J. Handali, C. Grimme, and H. Trautmann, “Multi-objective Optimization
for Liner Shipping Fleet Repositioning,” in Evolutionary Multi-Criterion Optimization:
9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017,
Proceedings, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek,
Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp.
622–638.'
mla: 'Tierney, K., et al. “Multi-Objective Optimization for Liner Shipping Fleet
Repositioning.” Evolutionary Multi-Criterion Optimization: 9$^th$ International
Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited
by H Trautmann et al., Springer International Publishing, 2017, pp. 622–638, doi:10.1007/978-3-319-54157-0_42.'
short: 'K. Tierney, J. Handali, C. Grimme, H. Trautmann, in: H. Trautmann, G. Rudolph,
K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, C. Grimme (Eds.), Evolutionary Multi-Criterion
Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March
19-22, 2017, Proceedings, Springer International Publishing, Cham, 2017, pp. 622–638.'
date_created: 2023-08-04T15:03:17Z
date_updated: 2023-10-16T13:35:41Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-54157-0_42
editor:
- first_name: H
full_name: Trautmann, H
last_name: Trautmann
- first_name: G
full_name: Rudolph, G
last_name: Rudolph
- first_name: K
full_name: Klamroth, K
last_name: Klamroth
- first_name: O
full_name: Schütze, O
last_name: Schütze
- first_name: M
full_name: Wiecek, M
last_name: Wiecek
- first_name: Y
full_name: Jin, Y
last_name: Jin
- first_name: C
full_name: Grimme, C
last_name: Grimme
language:
- iso: eng
page: 622–638
place: Cham
publication: 'Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference,
EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings'
publication_identifier:
isbn:
- 978-3-319-54157-0
publisher: Springer International Publishing
status: public
title: Multi-objective Optimization for Liner Shipping Fleet Repositioning
type: book_chapter
user_id: '15504'
year: '2017'
...
---
_id: '46359'
abstract:
- lang: eng
text: This paper proposes a new stream clustering algorithm for text streams. The
algorithm combines concepts from stream clustering and text analysis in order
to incrementally maintain a number of text droplets that represent topics within
the stream. Our algorithm adapts to changes of topic over time and can handle
noise and outliers gracefully by decaying the importance of irrelevant clusters.
We demonstrate the performance of our approach by using more than one million
real-world texts from the video streaming platform Twitch.tv.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Dennis
full_name: Assenmacher, Dennis
last_name: Assenmacher
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Carnein M, Assenmacher D, Trautmann H. Stream Clustering of Chat Messages
with Applications to Twitch Streams. In: de Cesare S, Ulrich F, eds. Proceedings
of the 36$^th$ International Conference on Conceptual Modeling (ER’17). Springer
International Publishing; 2017:79–88. doi:10.1007/978-3-319-70625-2_8'
apa: Carnein, M., Assenmacher, D., & Trautmann, H. (2017). Stream Clustering
of Chat Messages with Applications to Twitch Streams. In S. de Cesare & F.
Ulrich (Eds.), Proceedings of the 36$^th$ International Conference on Conceptual
Modeling (ER’17) (pp. 79–88). Springer International Publishing. https://doi.org/10.1007/978-3-319-70625-2_8
bibtex: '@inproceedings{Carnein_Assenmacher_Trautmann_2017, place={Valencia, Spain},
title={Stream Clustering of Chat Messages with Applications to Twitch Streams},
DOI={10.1007/978-3-319-70625-2_8},
booktitle={Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)}, publisher={Springer International Publishing}, author={Carnein, Matthias
and Assenmacher, Dennis and Trautmann, Heike}, editor={de Cesare, Sergio and Ulrich,
Frank}, year={2017}, pages={79–88} }'
chicago: 'Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “Stream Clustering
of Chat Messages with Applications to Twitch Streams.” In Proceedings of the
36$^th$ International Conference on Conceptual Modeling (ER’17), edited by
Sergio de Cesare and Frank Ulrich, 79–88. Valencia, Spain: Springer International
Publishing, 2017. https://doi.org/10.1007/978-3-319-70625-2_8.'
ieee: 'M. Carnein, D. Assenmacher, and H. Trautmann, “Stream Clustering of Chat
Messages with Applications to Twitch Streams,” in Proceedings of the 36$^th$
International Conference on Conceptual Modeling (ER’17), 2017, pp. 79–88,
doi: 10.1007/978-3-319-70625-2_8.'
mla: Carnein, Matthias, et al. “Stream Clustering of Chat Messages with Applications
to Twitch Streams.” Proceedings of the 36$^th$ International Conference on
Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich,
Springer International Publishing, 2017, pp. 79–88, doi:10.1007/978-3-319-70625-2_8.
short: 'M. Carnein, D. Assenmacher, H. Trautmann, in: S. de Cesare, F. Ulrich (Eds.),
Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17),
Springer International Publishing, Valencia, Spain, 2017, pp. 79–88.'
date_created: 2023-08-04T15:04:57Z
date_updated: 2023-10-16T13:36:23Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-70625-2_8
editor:
- first_name: Sergio
full_name: de Cesare, Sergio
last_name: de Cesare
- first_name: Frank
full_name: Ulrich, Frank
last_name: Ulrich
language:
- iso: eng
page: 79–88
place: Valencia, Spain
publication: Proceedings of the 36$^th$ International Conference on Conceptual Modeling
(ER’17)
publication_identifier:
isbn:
- 978-3-319-70625-2
publisher: Springer International Publishing
status: public
title: Stream Clustering of Chat Messages with Applications to Twitch Streams
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '46362'
abstract:
- lang: eng
text: Social bots are currently regarded an influential but also somewhat mysterious
factor in public discourse and opinion making. They are considered to be capable
of massively distributing propaganda in social and online media, and their application
is even suspected to be partly responsible for recent election results. Astonishingly,
the term social bot is not well defined and different scientific disciplines use
divergent definitions. This work starts with a balanced definition attempt, before
providing an overview of how social bots actually work (taking the example of
Twitter) and what their current technical limitations are. Despite recent research
progress in Deep Learning and Big Data, there are many activities bots cannot
handle well. We then discuss how bot capabilities can be extended and controlled
by integrating humans into the process and reason that this is currently the most
promising way to realize meaningful interactions with other humans. This finally
leads to the conclusion that hybridization is a challenge for current detection
mechanisms and has to be handled with more sophisticated approaches to identify
political propaganda distributed with social bots.
author:
- first_name: C
full_name: Grimme, C
last_name: Grimme
- first_name: M
full_name: Preuss, M
last_name: Preuss
- first_name: L
full_name: Adam, L
last_name: Adam
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Grimme C, Preuss M, Adam L, Trautmann H. Social Bots: Human-Like by Means
of Human Control? Big Data. 2017;5(4):279–293. doi:10.1089/big.2017.0044'
apa: 'Grimme, C., Preuss, M., Adam, L., & Trautmann, H. (2017). Social Bots:
Human-Like by Means of Human Control? Big Data, 5(4), 279–293. https://doi.org/10.1089/big.2017.0044'
bibtex: '@article{Grimme_Preuss_Adam_Trautmann_2017, title={Social Bots: Human-Like
by Means of Human Control?}, volume={5}, DOI={10.1089/big.2017.0044},
number={4}, journal={Big Data}, author={Grimme, C and Preuss, M and Adam, L and
Trautmann, Heike}, year={2017}, pages={279–293} }'
chicago: 'Grimme, C, M Preuss, L Adam, and Heike Trautmann. “Social Bots: Human-Like
by Means of Human Control?” Big Data 5, no. 4 (2017): 279–293. https://doi.org/10.1089/big.2017.0044.'
ieee: 'C. Grimme, M. Preuss, L. Adam, and H. Trautmann, “Social Bots: Human-Like
by Means of Human Control?,” Big Data, vol. 5, no. 4, pp. 279–293, 2017,
doi: 10.1089/big.2017.0044.'
mla: 'Grimme, C., et al. “Social Bots: Human-Like by Means of Human Control?” Big
Data, vol. 5, no. 4, 2017, pp. 279–293, doi:10.1089/big.2017.0044.'
short: C. Grimme, M. Preuss, L. Adam, H. Trautmann, Big Data 5 (2017) 279–293.
date_created: 2023-08-04T15:07:56Z
date_updated: 2023-10-16T13:37:14Z
department:
- _id: '34'
- _id: '819'
doi: 10.1089/big.2017.0044
intvolume: ' 5'
issue: '4'
language:
- iso: eng
page: 279–293
publication: Big Data
status: public
title: 'Social Bots: Human-Like by Means of Human Control?'
type: journal_article
user_id: '15504'
volume: 5
year: '2017'
...
---
_id: '46358'
abstract:
- lang: eng
text: Analysing streaming data has received considerable attention over the recent
years. A key research area in this field is stream clustering which aims to recognize
patterns in a possibly unbounded data stream of varying speed and structure. Over
the past decades a multitude of new stream clustering algorithms have been proposed.
However, to the best of our knowledge, no rigorous analysis and comparison of
the different approaches has been performed. Our paper fills this gap and provides
extensive experiments for a total of ten popular algorithms. We utilize a number
of standard data sets of both, real and synthetic data and identify key weaknesses
and strengths of the existing algorithms.
author:
- first_name: Matthias
full_name: Carnein, Matthias
last_name: Carnein
- first_name: Dennis
full_name: Assenmacher, Dennis
last_name: Assenmacher
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Carnein M, Assenmacher D, Trautmann H. An Empirical Comparison of Stream Clustering
Algorithms. In: Proceedings of the ACM International Conference on Computing
Frontiers (CF ’17). ; 2017:361–365. doi:10.1145/3075564.3078887'
apa: Carnein, M., Assenmacher, D., & Trautmann, H. (2017). An Empirical Comparison
of Stream Clustering Algorithms. Proceedings of the ACM International Conference
on Computing Frontiers (CF ’17), 361–365. https://doi.org/10.1145/3075564.3078887
bibtex: '@inproceedings{Carnein_Assenmacher_Trautmann_2017, place={Siena, Italy},
title={An Empirical Comparison of Stream Clustering Algorithms}, DOI={10.1145/3075564.3078887},
booktitle={Proceedings of the ACM International Conference on Computing Frontiers
(CF ’17)}, author={Carnein, Matthias and Assenmacher, Dennis and Trautmann, Heike},
year={2017}, pages={361–365} }'
chicago: Carnein, Matthias, Dennis Assenmacher, and Heike Trautmann. “An Empirical
Comparison of Stream Clustering Algorithms.” In Proceedings of the ACM International
Conference on Computing Frontiers (CF ’17), 361–365. Siena, Italy, 2017. https://doi.org/10.1145/3075564.3078887.
ieee: 'M. Carnein, D. Assenmacher, and H. Trautmann, “An Empirical Comparison of
Stream Clustering Algorithms,” in Proceedings of the ACM International Conference
on Computing Frontiers (CF ’17), 2017, pp. 361–365, doi: 10.1145/3075564.3078887.'
mla: Carnein, Matthias, et al. “An Empirical Comparison of Stream Clustering Algorithms.”
Proceedings of the ACM International Conference on Computing Frontiers (CF
’17), 2017, pp. 361–365, doi:10.1145/3075564.3078887.
short: 'M. Carnein, D. Assenmacher, H. Trautmann, in: Proceedings of the ACM International
Conference on Computing Frontiers (CF ’17), Siena, Italy, 2017, pp. 361–365.'
date_created: 2023-08-04T15:04:09Z
date_updated: 2023-10-16T13:35:59Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3075564.3078887
language:
- iso: eng
page: 361–365
place: Siena, Italy
publication: Proceedings of the ACM International Conference on Computing Frontiers
(CF ’17)
publication_identifier:
isbn:
- 978-1-4503-4487-6/17/05
status: public
title: An Empirical Comparison of Stream Clustering Algorithms
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '11895'
abstract:
- lang: eng
text: Multi-channel speech enhancement algorithms rely on a synchronous sampling
of the microphone signals. This, however, cannot always be guaranteed, especially
if the sensors are distributed in an environment. To avoid performance degradation
the sampling rate offset needs to be estimated and compensated for. In this contribution
we extend the recently proposed coherence drift based method in two important
directions. First, the increasing phase shift in the short-time Fourier transform
domain is estimated from the coherence drift in a Matched Filterlike fashion,
where intermediate estimates are weighted by their instantaneous SNR. Second,
an observed bias is removed by iterating between offset estimation and compensation
by resampling a couple of times. The effectiveness of the proposed method is demonstrated
by speech recognition results on the output of a beamformer with and without sampling
rate offset compensation between the input channels. We compare MVDR and maximum-SNR
beamformers in reverberant environments and further show that both benefit from
a novel phase normalization, which we also propose in this contribution.
author:
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Schmalenstroeer J, Heymann J, Drude L, Boeddeker C, Haeb-Umbach R. Multi-Stage
Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming.
In: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).
; 2017.'
apa: Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., & Haeb-Umbach,
R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for
Acoustic Beamforming. IEEE 19th International Workshop on Multimedia Signal
Processing (MMSP).
bibtex: '@inproceedings{Schmalenstroeer_Heymann_Drude_Boeddeker_Haeb-Umbach_2017,
title={Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
Beamforming}, booktitle={IEEE 19th International Workshop on Multimedia Signal
Processing (MMSP)}, author={Schmalenstroeer, Joerg and Heymann, Jahn and Drude,
Lukas and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2017} }'
chicago: Schmalenstroeer, Joerg, Jahn Heymann, Lukas Drude, Christoph Boeddeker,
and Reinhold Haeb-Umbach. “Multi-Stage Coherence Drift Based Sampling Rate Synchronization
for Acoustic Beamforming.” In IEEE 19th International Workshop on Multimedia
Signal Processing (MMSP), 2017.
ieee: J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, and R. Haeb-Umbach,
“Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
Beamforming,” 2017.
mla: Schmalenstroeer, Joerg, et al. “Multi-Stage Coherence Drift Based Sampling
Rate Synchronization for Acoustic Beamforming.” IEEE 19th International Workshop
on Multimedia Signal Processing (MMSP), 2017.
short: 'J. Schmalenstroeer, J. Heymann, L. Drude, C. Boeddeker, R. Haeb-Umbach,
in: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), 2017.'
date_created: 2019-07-12T05:30:20Z
date_updated: 2023-10-26T08:12:05Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb.pdf
oa: '1'
publication: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
quality_controlled: '1'
related_material:
link:
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2017/MMSP_2017_SchHaeb_poster.pdf
status: public
title: Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic
Beamforming
type: conference
user_id: '460'
year: '2017'
...
---
_id: '45396'
author:
- first_name: Jennifer
full_name: Dröse, Jennifer
id: '85820'
last_name: Dröse
- first_name: Susanne
full_name: Prediger, Susanne
last_name: Prediger
citation:
ama: 'Dröse J, Prediger S. Strategieentwicklung für die Bearbeitung von Textaufgaben.
In: Kortenkamp U, Kuzle A, eds. Beiträge zum Mathematikunterricht 2017 .
WTM; 2017:183-186.'
apa: Dröse, J., & Prediger, S. (2017). Strategieentwicklung für die Bearbeitung
von Textaufgaben. In U. Kortenkamp & A. Kuzle (Eds.), Beiträge zum Mathematikunterricht
2017 (pp. 183–186). WTM.
bibtex: '@inproceedings{Dröse_Prediger_2017, place={Münster}, title={Strategieentwicklung
für die Bearbeitung von Textaufgaben}, booktitle={Beiträge zum Mathematikunterricht
2017 }, publisher={WTM}, author={Dröse, Jennifer and Prediger, Susanne}, editor={Kortenkamp,
U. and Kuzle, A.}, year={2017}, pages={183–186} }'
chicago: 'Dröse, Jennifer, and Susanne Prediger. “Strategieentwicklung für die Bearbeitung
von Textaufgaben.” In Beiträge zum Mathematikunterricht 2017 , edited by
U. Kortenkamp and A. Kuzle, 183–86. Münster: WTM, 2017.'
ieee: J. Dröse and S. Prediger, “Strategieentwicklung für die Bearbeitung von Textaufgaben,”
in Beiträge zum Mathematikunterricht 2017 , 2017, pp. 183–186.
mla: Dröse, Jennifer, and Susanne Prediger. “Strategieentwicklung für die Bearbeitung
von Textaufgaben.” Beiträge zum Mathematikunterricht 2017 , edited by U.
Kortenkamp and A. Kuzle, WTM, 2017, pp. 183–86.
short: 'J. Dröse, S. Prediger, in: U. Kortenkamp, A. Kuzle (Eds.), Beiträge zum
Mathematikunterricht 2017 , WTM, Münster, 2017, pp. 183–186.'
date_created: 2023-05-31T08:39:04Z
date_updated: 2023-11-02T08:11:08Z
department:
- _id: '98'
editor:
- first_name: U.
full_name: Kortenkamp, U.
last_name: Kortenkamp
- first_name: A.
full_name: Kuzle, A.
last_name: Kuzle
extern: '1'
language:
- iso: ger
page: 183-186
place: Münster
publication: 'Beiträge zum Mathematikunterricht 2017 '
publisher: WTM
status: public
title: Strategieentwicklung für die Bearbeitung von Textaufgaben
type: conference
user_id: '85820'
year: '2017'
...
---
_id: '11773'
abstract:
- lang: eng
text: In this paper we present an algorithm for the detection of moving targets
in sight of an automotive radar sensor which can handle distorted ego-velocity
information. In situations where biased or none velocity information is provided
from the ego-vehicle, the algorithm is able to estimate the ego-velocity based
on previously detected stationary targets with high accuracy, subsequently used
for the target classification. Compared to existing ego-velocity algorithms our
approach provides fast and efficient inference without sacrificing the practical
classification accuracy. Other than that the algorithm is characterized by simple
parameterization and little but appropriate model assumptions for high accurate
production automotive radar sensors.
author:
- first_name: Christopher
full_name: Grimm, Christopher
last_name: Grimm
- first_name: Ridha
full_name: Farhoud, Ridha
last_name: Farhoud
- first_name: Tai
full_name: Fei, Tai
last_name: Fei
- first_name: Ernst
full_name: Warsitz, Ernst
last_name: Warsitz
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Grimm C, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Detection of Moving Targets
in Automotive Radar with Distorted Ego-Velocity Information. In: IEEE Microwaves,
Radar and Remote Sensing Symposium (MRRS). ; 2017.'
apa: Grimm, C., Farhoud, R., Fei, T., Warsitz, E., & Haeb-Umbach, R. (2017).
Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information.
IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).
bibtex: '@inproceedings{Grimm_Farhoud_Fei_Warsitz_Haeb-Umbach_2017, title={Detection
of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information},
booktitle={IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)}, author={Grimm,
Christopher and Farhoud, Ridha and Fei, Tai and Warsitz, Ernst and Haeb-Umbach,
Reinhold}, year={2017} }'
chicago: Grimm, Christopher, Ridha Farhoud, Tai Fei, Ernst Warsitz, and Reinhold
Haeb-Umbach. “Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity
Information.” In IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS),
2017.
ieee: C. Grimm, R. Farhoud, T. Fei, E. Warsitz, and R. Haeb-Umbach, “Detection of
Moving Targets in Automotive Radar with Distorted Ego-Velocity Information,” 2017.
mla: Grimm, Christopher, et al. “Detection of Moving Targets in Automotive Radar
with Distorted Ego-Velocity Information.” IEEE Microwaves, Radar and Remote
Sensing Symposium (MRRS), 2017.
short: 'C. Grimm, R. Farhoud, T. Fei, E. Warsitz, R. Haeb-Umbach, in: IEEE Microwaves,
Radar and Remote Sensing Symposium (MRRS), 2017.'
date_created: 2019-07-12T05:27:59Z
date_updated: 2023-11-20T16:38:11Z
department:
- _id: '54'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2017/MRRS_2017_GrimmHaeb_paper.pdf
oa: '1'
publication: IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)
quality_controlled: '1'
status: public
title: Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity
Information
type: conference
user_id: '242'
year: '2017'
...