---
_id: '6512'
abstract:
- lang: eng
text: Scheduling problems are essential for decision making in many academic disciplines,
including operations management, computer science, and information systems. Since
many scheduling problems are NP-hard in the strong sense, there is only limited
research on exact algorithms and how their efficiency scales when implemented
on parallel computing architectures. We address this gap by (1) adapting an exact
branch-and-price algorithm to a parallel machine scheduling problem on unrelated
machines with sequence- and machine-dependent setup times, (2) parallelizing the
adapted algorithm by implementing a distributed-memory parallelization with a
master/worker approach, and (3) conducting extensive computational experiments
using up to 960 MPI processes on a modern high performance computing cluster.
With our experiments, we show that the efficiency of our parallelization approach
can lead to superlinear speedup but can vary substantially between instances.
We further show that the wall time of serial execution can be substantially reduced
through our parallelization, in some cases from 94 hours to less than six minutes
when our algorithm is executed on 960 processes.
author:
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Rauchecker G, Schryen G. Using High Performance Computing for Unrelated Parallel
Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational
Evaluation of a Parallel Branch-and-Price Algorithm. Computers & Operations
Research. 2019;(104):338-357.'
apa: 'Rauchecker, G., & Schryen, G. (2019). Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.
Computers & Operations Research, (104), 338–357.'
bibtex: '@article{Rauchecker_Schryen_2019, title={Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm},
number={104}, journal={Computers & Operations Research}, publisher={Elsevier},
author={Rauchecker, Gerhard and Schryen, Guido}, year={2019}, pages={338–357}
}'
chicago: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
Computers & Operations Research, no. 104 (2019): 338–57.'
ieee: 'G. Rauchecker and G. Schryen, “Using High Performance Computing for Unrelated
Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and
Computational Evaluation of a Parallel Branch-and-Price Algorithm,” Computers
& Operations Research, no. 104, pp. 338–357, 2019.'
mla: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
Computers & Operations Research, no. 104, Elsevier, 2019, pp. 338–57.'
short: G. Rauchecker, G. Schryen, Computers & Operations Research (2019) 338–357.
date_created: 2019-01-08T13:50:44Z
date_updated: 2022-01-06T07:03:08Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-01-08T14:03:53Z
date_updated: 2019-01-08T14:03:53Z
file_id: '6513'
file_name: cor-parallel-bp-for-upmsp.pdf
file_size: 4153528
relation: main_file
file_date_updated: 2019-01-08T14:03:53Z
has_accepted_license: '1'
issue: '104'
keyword:
- parallel machine scheduling with setup times
- parallel branch-and-price algorithm
- high performance computing
- master/worker parallelization
language:
- iso: eng
oa: '1'
page: 338-357
publication: Computers & Operations Research
publisher: Elsevier
status: public
title: 'Using High Performance Computing for Unrelated Parallel Machine Scheduling
with Sequence-Dependent Setup Times: Development and Computational Evaluation of
a Parallel Branch-and-Price Algorithm'
type: journal_article
user_id: '61579'
year: '2019'
...
---
_id: '6514'
abstract:
- lang: eng
text: Recommender Agents (RAs) facilitate consumers’ online purchase decisions for
complex, multi-attribute products. As not all combinations of attribute levels
can be obtained, users are forced into trade-offs. The exposure of trade-offs
in a RA has been found to affect consumers’ perceptions. However, little is known
about how different preference elicitation methods in RAs affect consumers by
varying degrees of trade-off exposure. We propose a research model that investigates
how different levels of trade-off exposure cognitively and affectively influence
consumers’ satisfaction with RAs. We operationalize these levels in three different
RA types and test our hypotheses in a laboratory experiment with 116 participants.
Our results indicate that with increasing tradeoff exposure, perceived enjoyment
and perceived control follow an inverted Ushaped relationship. Hence, RAs using
preference elicitation methods with medium trade-off exposure yield highest consumer
satisfaction. This contributes to the understanding of trade-offs in RAs and provides
valuable implications to e-commerce practitioners.
author:
- first_name: Veronika
full_name: Schuhbeck, Veronika
last_name: Schuhbeck
- first_name: Nils
full_name: Siegfried, Nils
last_name: Siegfried
- first_name: Verena
full_name: Dorner, Verena
last_name: Dorner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Michael
full_name: Scholz, Michael
last_name: Scholz
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schuhbeck V, Siegfried N, Dorner V, Benlian A, Scholz M, Schryen G. Walking
the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction
in Recommender Agents. In: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik.
Siegen, Germany; 2019:55-64.'
apa: 'Schuhbeck, V., Siegfried, N., Dorner, V., Benlian, A., Scholz, M., & Schryen,
G. (2019). Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher
Consumer Satisfaction in Recommender Agents. In Proceedings of the 14. Internationale
Tagung Wirtschaftsinformatik (pp. 55–64). Siegen, Germany.'
bibtex: '@inproceedings{Schuhbeck_Siegfried_Dorner_Benlian_Scholz_Schryen_2019,
place={Siegen, Germany}, title={Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents}, booktitle={Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik}, author={Schuhbeck, Veronika
and Siegfried, Nils and Dorner, Verena and Benlian, Alexander and Scholz, Michael
and Schryen, Guido}, year={2019}, pages={55–64} }'
chicago: 'Schuhbeck, Veronika, Nils Siegfried, Verena Dorner, Alexander Benlian,
Michael Scholz, and Guido Schryen. “Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” In Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik, 55–64. Siegen, Germany,
2019.'
ieee: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, and G. Schryen,
“Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
Satisfaction in Recommender Agents,” in Proceedings of the 14. Internationale
Tagung Wirtschaftsinformatik, Siegen, Germany, 2019, pp. 55–64.'
mla: 'Schuhbeck, Veronika, et al. “Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik, 2019, pp. 55–64.'
short: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, G. Schryen,
in: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik, Siegen,
Germany, 2019, pp. 55–64.'
conference:
end_date: 2019-02-27
location: Siegen, Germany
name: 14th International Conference on Wirtschaftsinformatik
start_date: 2019-02-24
date_created: 2019-01-08T14:06:32Z
date_updated: 2022-01-06T07:03:09Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2019-01-08T14:07:17Z
date_updated: 2021-08-13T13:26:11Z
file_id: '6515'
file_name: WALKING THE MIDDLE PATH.pdf
file_size: 371490
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-13T13:25:53Z
date_updated: 2021-08-13T13:25:53Z
file_id: '23393'
file_name: Walking the Middle Path_ How Medium Trade-Off Exposure Leads to H.pdf
file_size: 331001
relation: main_file
file_date_updated: 2021-08-13T13:26:11Z
has_accepted_license: '1'
keyword:
- Recommender Agents
- Preference Elicitation Method
- Trade-off Exposure
- Customer Satisfaction
language:
- iso: eng
oa: '1'
page: 55-64
place: Siegen, Germany
publication: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik
status: public
title: 'Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
Satisfaction in Recommender Agents'
type: conference
user_id: '61579'
year: '2019'
...
---
_id: '6860'
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Afifi H, Karl H. Power Allocation with a Wireless Multi-cast Aware Routing
for Virtual Network Embedding. In: 2019 16th IEEE Annual Consumer Communications
& Networking Conference (CCNC2019). Las Vegas: IEEE.'
apa: 'Afifi, H., & Karl, H. (n.d.). Power Allocation with a Wireless Multi-cast
Aware Routing for Virtual Network Embedding. In 2019 16th IEEE Annual Consumer
Communications & Networking Conference (CCNC2019). Las Vegas: IEEE.'
bibtex: '@inproceedings{Afifi_Karl, place={Las Vegas}, title={Power Allocation with
a Wireless Multi-cast Aware Routing for Virtual Network Embedding}, booktitle={2019
16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019)},
publisher={IEEE}, author={Afifi, Haitham and Karl, Holger} }'
chicago: 'Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast
Aware Routing for Virtual Network Embedding.” In 2019 16th IEEE Annual Consumer
Communications & Networking Conference (CCNC2019). Las Vegas: IEEE, n.d.'
ieee: H. Afifi and H. Karl, “Power Allocation with a Wireless Multi-cast Aware Routing
for Virtual Network Embedding,” in 2019 16th IEEE Annual Consumer Communications
& Networking Conference (CCNC2019).
mla: Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast
Aware Routing for Virtual Network Embedding.” 2019 16th IEEE Annual Consumer
Communications & Networking Conference (CCNC2019), IEEE.
short: 'H. Afifi, H. Karl, in: 2019 16th IEEE Annual Consumer Communications &
Networking Conference (CCNC2019), IEEE, Las Vegas, n.d.'
date_created: 2019-01-17T15:51:34Z
date_updated: 2022-01-06T07:03:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: hafifi
date_created: 2019-01-17T15:49:37Z
date_updated: 2019-01-17T15:49:37Z
file_id: '6861'
file_name: globecom.pdf
file_size: 320283
relation: main_file
file_date_updated: 2019-01-17T15:49:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Las Vegas
project:
- _id: '27'
name: 'Akustische Sensornetzwerke - Teilprojekt '
- _id: '27'
name: Akustische Sensornetzwerke - Teilprojekt "Verteilte akustische Signalverarbeitung
über funkbasierte Sensornetzwerke
publication: 2019 16th IEEE Annual Consumer Communications & Networking Conference
(CCNC2019)
publication_status: accepted
publisher: IEEE
status: public
title: Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network
Embedding
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '16847'
abstract:
- lang: eng
text: In this work we describe our results achieved in the ProtestNews Lab at CLEF
2019. To tackle the problems of event sentence detection and event extraction
we decided to use contextualized string embeddings. The models were trained on
a data corpus collected from Indian news sources, but evaluated on data obtained
from news sources from other countries as well, such as China. Our models have
obtained competitive results and have scored 3rd in the event sentence detection
task and 1st in the event extraction task based on average F1-scores for different
test datasets.
author:
- first_name: Gabriella
full_name: Skitalinskaya, Gabriella
last_name: Skitalinskaya
- first_name: Jonas
full_name: Klaff, Jonas
last_name: Klaff
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
citation:
ama: 'Skitalinskaya G, Klaff J, Spliethöver M. CLEF ProtestNews Lab 2019: Contextualized
Word Embeddings for Event Sentence Detection and Event Extraction. Vol 2380.
Lugano, Switzerland; 2019.'
apa: 'Skitalinskaya, G., Klaff, J., & Spliethöver, M. (2019). CLEF ProtestNews
Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event
Extraction (Vol. 2380). Lugano, Switzerland.'
bibtex: '@book{Skitalinskaya_Klaff_Spliethöver_2019, place={Lugano, Switzerland},
series={CEUR Workshop Proceedings}, title={CLEF ProtestNews Lab 2019: Contextualized
Word Embeddings for Event Sentence Detection and Event Extraction}, volume={2380},
author={Skitalinskaya, Gabriella and Klaff, Jonas and Spliethöver, Maximilian},
year={2019}, collection={CEUR Workshop Proceedings} }'
chicago: 'Skitalinskaya, Gabriella, Jonas Klaff, and Maximilian Spliethöver. CLEF
ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection
and Event Extraction. Vol. 2380. CEUR Workshop Proceedings. Lugano, Switzerland,
2019.'
ieee: 'G. Skitalinskaya, J. Klaff, and M. Spliethöver, CLEF ProtestNews Lab 2019:
Contextualized Word Embeddings for Event Sentence Detection and Event Extraction,
vol. 2380. Lugano, Switzerland, 2019.'
mla: 'Skitalinskaya, Gabriella, et al. CLEF ProtestNews Lab 2019: Contextualized
Word Embeddings for Event Sentence Detection and Event Extraction. Vol. 2380,
2019.'
short: 'G. Skitalinskaya, J. Klaff, M. Spliethöver, CLEF ProtestNews Lab 2019: Contextualized
Word Embeddings for Event Sentence Detection and Event Extraction, Lugano, Switzerland,
2019.'
date_created: 2020-04-23T15:18:40Z
date_updated: 2022-01-06T06:52:57Z
extern: '1'
intvolume: ' 2380'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://ceur-ws.org/Vol-2380/paper_118.pdf
oa: '1'
page: '7'
place: Lugano, Switzerland
report_number: '118'
series_title: CEUR Workshop Proceedings
status: public
title: 'CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence
Detection and Event Extraction'
type: report
user_id: '84035'
volume: 2380
year: '2019'
...
---
_id: '11965'
abstract:
- lang: eng
text: 'We present an unsupervised training approach for a neural network-based mask
estimator in an acoustic beamforming application. The network is trained to maximize
a likelihood criterion derived from a spatial mixture model of the observations.
It is trained from scratch without requiring any parallel data consisting of degraded
input and clean training targets. Thus, training can be carried out on real recordings
of noisy speech rather than simulated ones. In contrast to previous work on unsupervised
training of neural mask estimators, our approach avoids the need for a possibly
pre-trained teacher model entirely. We demonstrate the effectiveness of our approach
by speech recognition experiments on two different datasets: one mainly deteriorated
by noise (CHiME 4) and one by reverberation (REVERB). The results show that the
performance of the proposed system is on par with a supervised system using oracle
target masks for training and with a system trained using a model-based teacher.'
author:
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Jahn
full_name: Heymann, Jahn
id: '9168'
last_name: Heymann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Drude L, Heymann J, Haeb-Umbach R. Unsupervised training of neural mask-based
beamforming. In: INTERSPEECH 2019, Graz, Austria. ; 2019.'
apa: Drude, L., Heymann, J., & Haeb-Umbach, R. (2019). Unsupervised training
of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.
bibtex: '@inproceedings{Drude_Heymann_Haeb-Umbach_2019, title={Unsupervised training
of neural mask-based beamforming}, booktitle={INTERSPEECH 2019, Graz, Austria},
author={Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2019}
}'
chicago: Drude, Lukas, Jahn Heymann, and Reinhold Haeb-Umbach. “Unsupervised Training
of Neural Mask-Based Beamforming.” In INTERSPEECH 2019, Graz, Austria,
2019.
ieee: L. Drude, J. Heymann, and R. Haeb-Umbach, “Unsupervised training of neural
mask-based beamforming,” in INTERSPEECH 2019, Graz, Austria, 2019.
mla: Drude, Lukas, et al. “Unsupervised Training of Neural Mask-Based Beamforming.”
INTERSPEECH 2019, Graz, Austria, 2019.
short: 'L. Drude, J. Heymann, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria,
2019.'
date_created: 2019-07-18T09:11:39Z
date_updated: 2022-01-06T06:51:14Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2019-08-13T06:36:44Z
date_updated: 2019-08-13T06:41:35Z
file_id: '12914'
file_name: INTERSPEECH_2019_Drude_Paper.pdf
file_size: 223413
relation: main_file
file_date_updated: 2019-08-13T06:41:35Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/publicdomain/zero/1.0/
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: INTERSPEECH 2019, Graz, Austria
status: public
title: Unsupervised training of neural mask-based beamforming
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12874'
abstract:
- lang: eng
text: We propose a training scheme to train neural network-based source separation
algorithms from scratch when parallel clean data is unavailable. In particular,
we demonstrate that an unsupervised spatial clustering algorithm is sufficient
to guide the training of a deep clustering system. We argue that previous work
on deep clustering requires strong supervision and elaborate on why this is a
limitation. We demonstrate that (a) the single-channel deep clustering system
trained according to the proposed scheme alone is able to achieve a similar performance
as the multi-channel teacher in terms of word error rates and (b) initializing
the spatial clustering approach with the deep clustering result yields a relative
word error rate reduction of 26% over the unsupervised teacher.
author:
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Daniel
full_name: Hasenklever, Daniel
last_name: Hasenklever
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Drude L, Hasenklever D, Haeb-Umbach R. Unsupervised Training of a Deep Clustering
Model for Multichannel Blind Source Separation. In: ICASSP 2019, Brighton,
UK. ; 2019.'
apa: Drude, L., Hasenklever, D., & Haeb-Umbach, R. (2019). Unsupervised Training
of a Deep Clustering Model for Multichannel Blind Source Separation. In ICASSP
2019, Brighton, UK.
bibtex: '@inproceedings{Drude_Hasenklever_Haeb-Umbach_2019, title={Unsupervised
Training of a Deep Clustering Model for Multichannel Blind Source Separation},
booktitle={ICASSP 2019, Brighton, UK}, author={Drude, Lukas and Hasenklever, Daniel
and Haeb-Umbach, Reinhold}, year={2019} }'
chicago: Drude, Lukas, Daniel Hasenklever, and Reinhold Haeb-Umbach. “Unsupervised
Training of a Deep Clustering Model for Multichannel Blind Source Separation.”
In ICASSP 2019, Brighton, UK, 2019.
ieee: L. Drude, D. Hasenklever, and R. Haeb-Umbach, “Unsupervised Training of a
Deep Clustering Model for Multichannel Blind Source Separation,” in ICASSP
2019, Brighton, UK, 2019.
mla: Drude, Lukas, et al. “Unsupervised Training of a Deep Clustering Model for
Multichannel Blind Source Separation.” ICASSP 2019, Brighton, UK, 2019.
short: 'L. Drude, D. Hasenklever, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK,
2019.'
date_created: 2019-07-23T07:37:54Z
date_updated: 2022-01-06T06:51:21Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2019-08-14T07:19:13Z
date_updated: 2019-08-14T07:19:13Z
file_id: '12925'
file_name: ICASSP_2019_Drude_Paper.pdf
file_size: 368225
relation: main_file
file_date_updated: 2019-08-14T07:19:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source
Separation
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12875'
abstract:
- lang: eng
text: Signal dereverberation using the Weighted Prediction Error (WPE) method has
been proven to be an effective means to raise the accuracy of far-field speech
recognition. First proposed as an iterative algorithm, follow-up works have reformulated
it as a recursive least squares algorithm and therefore enabled its use in online
applications. For this algorithm, the estimation of the power spectral density
(PSD) of the anechoic signal plays an important role and strongly influences its
performance. Recently, we showed that using a neural network PSD estimator leads
to improved performance for online automatic speech recognition. This, however,
comes at a price. To train the network, we require parallel data, i.e., utterances
simultaneously available in clean and reverberated form. Here we propose to overcome
this limitation by training the network jointly with the acoustic model of the
speech recognizer. To be specific, the gradients computed from the cross-entropy
loss between the target senone sequence and the acoustic model network output
is backpropagated through the complex-valued dereverberation filter estimation
to the neural network for PSD estimation. Evaluation on two databases demonstrates
improved performance for on-line processing scenarios while imposing fewer requirements
on the available training data and thus widening the range of applications.
author:
- 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: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Keisuke
full_name: Kinoshita, Keisuke
last_name: Kinoshita
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
citation:
ama: 'Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Joint Optimization
of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online
ASR. In: ICASSP 2019, Brighton, UK. ; 2019.'
apa: Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T.
(2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic
Model for Robust Online ASR. In ICASSP 2019, Brighton, UK.
bibtex: '@inproceedings{Heymann_Drude_Haeb-Umbach_Kinoshita_Nakatani_2019, title={Joint
Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for
Robust Online ASR}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann, Jahn
and Drude, Lukas and Haeb-Umbach, Reinhold and Kinoshita, Keisuke and Nakatani,
Tomohiro}, year={2019} }'
chicago: Heymann, Jahn, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, and
Tomohiro Nakatani. “Joint Optimization of Neural Network-Based WPE Dereverberation
and Acoustic Model for Robust Online ASR.” In ICASSP 2019, Brighton, UK,
2019.
ieee: J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, and T. Nakatani, “Joint
Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for
Robust Online ASR,” in ICASSP 2019, Brighton, UK, 2019.
mla: Heymann, Jahn, et al. “Joint Optimization of Neural Network-Based WPE Dereverberation
and Acoustic Model for Robust Online ASR.” ICASSP 2019, Brighton, UK, 2019.
short: 'J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: ICASSP
2019, Brighton, UK, 2019.'
date_created: 2019-07-23T07:42:26Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2019-12-17T07:28:06Z
date_updated: 2019-12-17T07:28:06Z
file_id: '15334'
file_name: ICASSP_2019_Heymann_Paper.pdf
file_size: 199109
relation: main_file
file_date_updated: 2019-12-17T07:28:06Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic
Model for Robust Online ASR
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12876'
abstract:
- lang: eng
text: In this paper, we present libDirectional, a MATLAB library for directional
statistics and directional estimation. It supports a variety of commonly used
distributions on the unit circle, such as the von Mises, wrapped normal, and wrapped
Cauchy distributions. Furthermore, various distributions on higher-dimensional
manifolds such as the unit hypersphere and the hypertorus are available. Based
on these distributions, several recursive filtering algorithms in libDirectional
allow estimation on these manifolds. The functionality is implemented in a clear,
well-documented, and object-oriented structure that is both easy to use and easy
to extend.
author:
- first_name: Gerhard
full_name: Kurz, Gerhard
last_name: Kurz
- first_name: Igor
full_name: Gilitschenski, Igor
last_name: Gilitschenski
- first_name: Florian
full_name: Pfaff, Florian
last_name: Pfaff
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Uwe D.
full_name: Hanebeck, Uwe D.
last_name: Hanebeck
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Roland Y.
full_name: Siegwart, Roland Y.
last_name: Siegwart
citation:
ama: 'Kurz G, Gilitschenski I, Pfaff F, et al. Directional Statistics and Filtering
Using libDirectional. In: Journal of Statistical Software 89(4). ; 2019.'
apa: Kurz, G., Gilitschenski, I., Pfaff, F., Drude, L., Hanebeck, U. D., Haeb-Umbach,
R., & Siegwart, R. Y. (2019). Directional Statistics and Filtering Using libDirectional.
In Journal of Statistical Software 89(4).
bibtex: '@inproceedings{Kurz_Gilitschenski_Pfaff_Drude_Hanebeck_Haeb-Umbach_Siegwart_2019,
title={Directional Statistics and Filtering Using libDirectional}, booktitle={Journal
of Statistical Software 89(4)}, author={Kurz, Gerhard and Gilitschenski, Igor
and Pfaff, Florian and Drude, Lukas and Hanebeck, Uwe D. and Haeb-Umbach, Reinhold
and Siegwart, Roland Y.}, year={2019} }'
chicago: Kurz, Gerhard, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck,
Reinhold Haeb-Umbach, and Roland Y. Siegwart. “Directional Statistics and Filtering
Using LibDirectional.” In Journal of Statistical Software 89(4), 2019.
ieee: G. Kurz et al., “Directional Statistics and Filtering Using libDirectional,”
in Journal of Statistical Software 89(4), 2019.
mla: Kurz, Gerhard, et al. “Directional Statistics and Filtering Using LibDirectional.”
Journal of Statistical Software 89(4), 2019.
short: 'G. Kurz, I. Gilitschenski, F. Pfaff, L. Drude, U.D. Hanebeck, R. Haeb-Umbach,
R.Y. Siegwart, in: Journal of Statistical Software 89(4), 2019.'
date_created: 2019-07-23T07:44:59Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2019-08-14T07:16:05Z
date_updated: 2019-08-14T07:16:05Z
file_id: '12923'
file_name: JournalofStatisticalSoftware_2019_Drude_Paper.pdf
file_size: 1522964
relation: main_file
file_date_updated: 2019-08-14T07:16:05Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: Journal of Statistical Software 89(4)
status: public
title: Directional Statistics and Filtering Using libDirectional
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '12882'
abstract:
- lang: eng
text: One of the major challenges in implementing wireless virtualization is the
resource discovery. This is particularly important for the embedding-algorithms
that are used to distribute the tasks to nodes. MARVELO is a prototype framework
for executing different distributed algorithms on the top of a wireless (802.11)
ad-hoc network. The aim of MARVELO is to select the nodes for running the algorithms
and to define the routing between the nodes. Hence, it also supports monitoring
functionalities to collect information about the available resources and to assist
in profiling the algorithms. The objective of this demo is to show how MAVRLEO
distributes tasks in an ad-hoc network, based on a feedback from our monitoring
tool. Additionally, we explain the work-flow, composition and execution of the
framework.
author:
- first_name: Haitham
full_name: Afifi, Haitham
id: '65718'
last_name: Afifi
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Sebastian
full_name: Eikenberg, Sebastian
last_name: Eikenberg
- first_name: Arnold
full_name: Mueller, Arnold
last_name: Mueller
- first_name: Lars
full_name: Gansel, Lars
last_name: Gansel
- first_name: Alexander
full_name: Makejkin, Alexander
last_name: Makejkin
- first_name: Kai
full_name: Hannemann, Kai
last_name: Hannemann
- first_name: Rafael
full_name: Schellenberg, Rafael
last_name: Schellenberg
citation:
ama: 'Afifi H, Karl H, Eikenberg S, et al. A Rapid Prototyping for Wireless Virtual
Network Embedding using MARVELO. In: 2019 IEEE Wireless Communications and
Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco;
2019.'
apa: Afifi, H., Karl, H., Eikenberg, S., Mueller, A., Gansel, L., Makejkin, A.,
… Schellenberg, R. (2019). A Rapid Prototyping for Wireless Virtual Network Embedding
using MARVELO. In 2019 IEEE Wireless Communications and Networking Conference
(WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco.
bibtex: '@inproceedings{Afifi_Karl_Eikenberg_Mueller_Gansel_Makejkin_Hannemann_Schellenberg_2019,
place={Marrakech, Morocco}, title={A Rapid Prototyping for Wireless Virtual Network
Embedding using MARVELO}, booktitle={2019 IEEE Wireless Communications and Networking
Conference (WCNC) (IEEE WCNC 2019) (Demo)}, author={Afifi, Haitham and Karl, Holger
and Eikenberg, Sebastian and Mueller, Arnold and Gansel, Lars and Makejkin, Alexander
and Hannemann, Kai and Schellenberg, Rafael}, year={2019} }'
chicago: Afifi, Haitham, Holger Karl, Sebastian Eikenberg, Arnold Mueller, Lars
Gansel, Alexander Makejkin, Kai Hannemann, and Rafael Schellenberg. “A Rapid Prototyping
for Wireless Virtual Network Embedding Using MARVELO.” In 2019 IEEE Wireless
Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech,
Morocco, 2019.
ieee: H. Afifi et al., “A Rapid Prototyping for Wireless Virtual Network
Embedding using MARVELO,” in 2019 IEEE Wireless Communications and Networking
Conference (WCNC) (IEEE WCNC 2019) (Demo), 2019.
mla: Afifi, Haitham, et al. “A Rapid Prototyping for Wireless Virtual Network Embedding
Using MARVELO.” 2019 IEEE Wireless Communications and Networking Conference
(WCNC) (IEEE WCNC 2019) (Demo), 2019.
short: 'H. Afifi, H. Karl, S. Eikenberg, A. Mueller, L. Gansel, A. Makejkin, K.
Hannemann, R. Schellenberg, in: 2019 IEEE Wireless Communications and Networking
Conference (WCNC) (IEEE WCNC 2019) (Demo), Marrakech, Morocco, 2019.'
date_created: 2019-07-24T07:28:45Z
date_updated: 2022-01-06T06:51:22Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: hafifi
date_created: 2021-01-30T12:39:43Z
date_updated: 2021-01-30T12:42:31Z
file_id: '21113'
file_name: demo.pdf
file_size: 102976
relation: main_file
file_date_updated: 2021-01-30T12:42:31Z
has_accepted_license: '1'
keyword:
- WSN
- virtualization
- VNE
language:
- iso: eng
oa: '1'
place: Marrakech, Morocco
project:
- _id: '27'
name: 'Akustische Sensornetzwerke - Teilprojekt '
publication: 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE
WCNC 2019) (Demo)
status: public
title: A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO
type: conference
user_id: '65718'
year: '2019'
...
---
_id: '12890'
abstract:
- lang: eng
text: 'We formulate a generic framework for blind source separation (BSS), which
allows integrating data-driven spectro-temporal methods, such as deep clustering
and deep attractor networks, with physically motivated probabilistic spatial methods,
such as complex angular central Gaussian mixture models. The integrated model
exploits the complementary strengths of the two approaches to BSS: the strong
modeling power of neural networks, which, however, is based on supervised learning,
and the ease of unsupervised learning of the spatial mixture models whose few
parameters can be estimated on as little as a single segment of a real mixture
of speech. Experiments are carried out on both artificially mixed speech and true
recordings of speech mixtures. The experiments verify that the integrated models
consistently outperform the individual components. We further extend the models
to cope with noisy, reverberant speech and introduce a cross-domain teacher–student
training where the mixture model serves as the teacher to provide training targets
for the student neural network.'
author:
- first_name: Lukas
full_name: Drude, Lukas
id: '11213'
last_name: Drude
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial
Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics
in Signal Processing. 2019. doi:10.1109/JSTSP.2019.2912565
apa: Drude, L., & Haeb-Umbach, R. (2019). Integration of Neural Networks and
Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal
of Selected Topics in Signal Processing. https://doi.org/10.1109/JSTSP.2019.2912565
bibtex: '@article{Drude_Haeb-Umbach_2019, title={Integration of Neural Networks
and Probabilistic Spatial Models for Acoustic Blind Source Separation}, DOI={10.1109/JSTSP.2019.2912565},
journal={IEEE Journal of Selected Topics in Signal Processing}, author={Drude,
Lukas and Haeb-Umbach, Reinhold}, year={2019} }'
chicago: Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks
and Probabilistic Spatial Models for Acoustic Blind Source Separation.” IEEE
Journal of Selected Topics in Signal Processing, 2019. https://doi.org/10.1109/JSTSP.2019.2912565.
ieee: L. Drude and R. Haeb-Umbach, “Integration of Neural Networks and Probabilistic
Spatial Models for Acoustic Blind Source Separation,” IEEE Journal of Selected
Topics in Signal Processing, 2019.
mla: Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and
Probabilistic Spatial Models for Acoustic Blind Source Separation.” IEEE Journal
of Selected Topics in Signal Processing, 2019, doi:10.1109/JSTSP.2019.2912565.
short: L. Drude, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing
(2019).
date_created: 2019-07-26T08:38:46Z
date_updated: 2022-01-06T06:51:23Z
ddc:
- '050'
department:
- _id: '54'
doi: 10.1109/JSTSP.2019.2912565
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2019-08-07T07:12:21Z
date_updated: 2019-08-14T07:11:22Z
file_id: '12903'
file_name: IEEE Jounal_2019_Drude_Paper.pdf
file_size: 967424
relation: main_file
file_date_updated: 2019-08-14T07:11:22Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: IEEE Journal of Selected Topics in Signal Processing
publication_identifier:
eissn:
- 1941-0484
status: public
title: Integration of Neural Networks and Probabilistic Spatial Models for Acoustic
Blind Source Separation
type: journal_article
user_id: '11213'
year: '2019'
...
---
_id: '12908'
author:
- first_name: Manfred
full_name: Hammer, Manfred
id: '48077'
last_name: Hammer
orcid: 0000-0002-6331-9348
- first_name: Lena
full_name: Ebers, Lena
id: '40428'
last_name: Ebers
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
citation:
ama: 'Hammer M, Ebers L, Förstner J. Oblique quasi-lossless excitation of a thin
silicon slab waveguide: a guided-wave variant of an anti-reflection coating. Journal
of the Optical Society of America B. 2019;36:2395. doi:10.1364/josab.36.002395'
apa: 'Hammer, M., Ebers, L., & Förstner, J. (2019). Oblique quasi-lossless excitation
of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection
coating. Journal of the Optical Society of America B, 36, 2395.
https://doi.org/10.1364/josab.36.002395'
bibtex: '@article{Hammer_Ebers_Förstner_2019, title={Oblique quasi-lossless excitation
of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection
coating}, volume={36}, DOI={10.1364/josab.36.002395},
journal={Journal of the Optical Society of America B}, author={Hammer, Manfred
and Ebers, Lena and Förstner, Jens}, year={2019}, pages={2395} }'
chicago: 'Hammer, Manfred, Lena Ebers, and Jens Förstner. “Oblique Quasi-Lossless
Excitation of a Thin Silicon Slab Waveguide: A Guided-Wave Variant of an Anti-Reflection
Coating.” Journal of the Optical Society of America B 36 (2019): 2395.
https://doi.org/10.1364/josab.36.002395.'
ieee: 'M. Hammer, L. Ebers, and J. Förstner, “Oblique quasi-lossless excitation
of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection
coating,” Journal of the Optical Society of America B, vol. 36, p. 2395,
2019.'
mla: 'Hammer, Manfred, et al. “Oblique Quasi-Lossless Excitation of a Thin Silicon
Slab Waveguide: A Guided-Wave Variant of an Anti-Reflection Coating.” Journal
of the Optical Society of America B, vol. 36, 2019, p. 2395, doi:10.1364/josab.36.002395.'
short: M. Hammer, L. Ebers, J. Förstner, Journal of the Optical Society of America
B 36 (2019) 2395.
date_created: 2019-08-09T07:07:45Z
date_updated: 2022-01-06T06:51:24Z
ddc:
- '530'
department:
- _id: '61'
- _id: '230'
- _id: '429'
doi: 10.1364/josab.36.002395
file:
- access_level: open_access
content_type: application/pdf
creator: fossie
date_created: 2019-08-09T07:09:04Z
date_updated: 2019-08-09T07:09:04Z
file_id: '12909'
file_name: 2019-07 Hammer - JOSA B - Oblique Quasi-Lossless Excitation of a Thin
Silicon Slab Waveguide (preprint).pdf
file_size: 728533
relation: main_file
file_date_updated: 2019-08-09T07:09:04Z
has_accepted_license: '1'
intvolume: ' 36'
keyword:
- tet_topic_waveguides
language:
- iso: eng
oa: '1'
page: '2395'
project:
- _id: '53'
name: TRR 142
- _id: '56'
name: TRR 142 - Project Area C
- _id: '75'
name: TRR 142 - Subproject C5
publication: Journal of the Optical Society of America B
publication_identifier:
issn:
- 0740-3224
- 1520-8540
publication_status: published
status: public
title: 'Oblique quasi-lossless excitation of a thin silicon slab waveguide: a guided-wave
variant of an anti-reflection coating'
type: journal_article
user_id: '158'
volume: 36
year: '2019'
...
---
_id: '15371'
abstract:
- lang: eng
text: "More and more management and orchestration approaches for (software) networks
are based on machine learning paradigms and solutions. These approaches depend
not only on their program code to operate properly, but also require enough input
data to train their internal models. However, such training data is barely available
for the software networking domain and most presented solutions rely on their
own, sometimes not even published, data sets. This makes it hard, or even infeasible,
to reproduce and compare many of the existing solutions. As a result, it ultimately
slows down the adoption of machine learning approaches in softwarised networks.
To this end, we introduce the \"softwarised network data zoo\" (SNDZoo), an open
collection of software networking data sets aiming to streamline and ease machine
learning research in the software networking domain. We present a general methodology
to collect, archive, and publish those data sets for use by other researches and,
as an example, eight initial data sets, focusing on the performance of virtualised
network functions.\r\n"
author:
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Peuster M, Schneider SB, Karl H. The Softwarised Network Data Zoo. In: IEEE/IFIP
15th International Conference on Network and Service Management (CNSM). Halifax:
IEEE/IFIP; 2019.'
apa: 'Peuster, M., Schneider, S. B., & Karl, H. (2019). The Softwarised Network
Data Zoo. In IEEE/IFIP 15th International Conference on Network and Service
Management (CNSM). Halifax: IEEE/IFIP.'
bibtex: '@inproceedings{Peuster_Schneider_Karl_2019, place={Halifax}, title={The
Softwarised Network Data Zoo}, booktitle={IEEE/IFIP 15th International Conference
on Network and Service Management (CNSM)}, publisher={IEEE/IFIP}, author={Peuster,
Manuel and Schneider, Stefan Balthasar and Karl, Holger}, year={2019} }'
chicago: 'Peuster, Manuel, Stefan Balthasar Schneider, and Holger Karl. “The Softwarised
Network Data Zoo.” In IEEE/IFIP 15th International Conference on Network and
Service Management (CNSM). Halifax: IEEE/IFIP, 2019.'
ieee: M. Peuster, S. B. Schneider, and H. Karl, “The Softwarised Network Data Zoo,”
in IEEE/IFIP 15th International Conference on Network and Service Management
(CNSM), 2019.
mla: Peuster, Manuel, et al. “The Softwarised Network Data Zoo.” IEEE/IFIP 15th
International Conference on Network and Service Management (CNSM), IEEE/IFIP,
2019.
short: 'M. Peuster, S.B. Schneider, H. Karl, in: IEEE/IFIP 15th International Conference
on Network and Service Management (CNSM), IEEE/IFIP, Halifax, 2019.'
date_created: 2019-12-18T07:30:45Z
date_updated: 2022-01-06T06:52:21Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-12-18T08:10:23Z
date_updated: 2019-12-18T08:10:23Z
file_id: '15377'
file_name: main_for_ris.pdf
file_size: 515208
relation: main_file
file_date_updated: 2019-12-18T08:10:23Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://dl.ifip.org/db/conf/cnsm/cnsm2019/1570555677.pdf
oa: '1'
place: Halifax
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
publication: IEEE/IFIP 15th International Conference on Network and Service Management
(CNSM)
publisher: IEEE/IFIP
status: public
title: The Softwarised Network Data Zoo
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15373'
abstract:
- lang: eng
text: "Offloading packet processing tasks to programmable switches and/or to programmable
network interfaces, so called “SmartNICs”, is one of the key concepts to prepare
softwarized networks for the high traffic demands of the future. However, implementing
network functions that make use of those offload- ing technologies is still challenging
and usually requires the availability of specialized hardware. It becomes even
harder if heterogeneous services, making use of different offloading and network
virtualization technologies, should be developed.\r\nIn this paper, we introduce
FOP4 (Function Offloading Pro- totyping with P4), a novel prototyping platform
that allows to prototype heterogeneous software network scenarios, including container-based,
P4-switch-based, and SmartNIC-based network functions. The presented work substantially
extends our existing Containernet platform with the means to prototype offloading
scenarios. Besides presenting the platform’s system design, we evaluate its scalability
and show that it can run scenarios with more than 64 P4 switch or SmartNIC nodes
on a single laptop. Finally, we presented a case study in which we use the presented
platform to prototype an extended in-band network telemetry use case."
author:
- first_name: Daniele
full_name: Moro, Daniele
last_name: Moro
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Antonio
full_name: Capone, Antonio
last_name: Capone
citation:
ama: 'Moro D, Peuster M, Karl H, Capone A. FOP4: Function Offloading Prototyping
in Heterogeneous and Programmable Network Scenarios. In: IEEE Conference on
Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas:
IEEE; 2019.'
apa: 'Moro, D., Peuster, M., Karl, H., & Capone, A. (2019). FOP4: Function Offloading
Prototyping in Heterogeneous and Programmable Network Scenarios. In IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Dallas: IEEE.'
bibtex: '@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={FOP4:
Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios},
booktitle={IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)}, publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel
and Karl, Holger and Capone, Antonio}, year={2019} }'
chicago: 'Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “FOP4:
Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios.”
In IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN). Dallas: IEEE, 2019.'
ieee: 'D. Moro, M. Peuster, H. Karl, and A. Capone, “FOP4: Function Offloading Prototyping
in Heterogeneous and Programmable Network Scenarios,” in IEEE Conference on
Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.'
mla: 'Moro, Daniele, et al. “FOP4: Function Offloading Prototyping in Heterogeneous
and Programmable Network Scenarios.” IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN), IEEE, 2019.'
short: 'D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network
Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas,
2019.'
date_created: 2019-12-18T07:39:28Z
date_updated: 2022-01-06T06:52:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-12-18T08:11:37Z
date_updated: 2019-12-18T08:11:37Z
file_id: '15378'
file_name: main_for_ris.pdf
file_size: 657216
relation: main_file
file_date_updated: 2019-12-18T08:11:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Dallas
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)
publisher: IEEE
status: public
title: 'FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network
Scenarios'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15374'
abstract:
- lang: eng
text: Emulation platforms supporting Virtual Network Functions (VNFs) allow developers
to rapidly prototype network services. None of the available platforms, however,
supports experimenting with programmable data planes to enable VNF offloading.
In this demonstration, we show FOP4, a flexible platform that provides support
for Docker-based VNFs, and VNF offloading, by means of P4-enabled switches. The
platform provides interfaces to program the P4 devices and to deploy network functions.
We demonstrate FOP4 with two complex example scenarios, demonstrating how developers
can exploit data plane programmability to implement network functions.
author:
- first_name: Daniele
full_name: Moro, Daniele
last_name: Moro
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Antonio
full_name: Capone, Antonio
last_name: Capone
citation:
ama: 'Moro D, Peuster M, Karl H, Capone A. Demonstrating FOP4: A Flexible Platform
to Prototype NFV Offloading Scenarios. In: IEEE Conference on Network Function
Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.'
apa: 'Moro, D., Peuster, M., Karl, H., & Capone, A. (2019). Demonstrating FOP4:
A Flexible Platform to Prototype NFV Offloading Scenarios. In IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Dallas: IEEE.'
bibtex: '@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={Demonstrating
FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios}, booktitle={IEEE
Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)},
publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel and Karl, Holger and
Capone, Antonio}, year={2019} }'
chicago: 'Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “Demonstrating
FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios.” In IEEE Conference
on Network Function Virtualization and Software Defined Networks (NFV-SDN).
Dallas: IEEE, 2019.'
ieee: 'D. Moro, M. Peuster, H. Karl, and A. Capone, “Demonstrating FOP4: A Flexible
Platform to Prototype NFV Offloading Scenarios,” in IEEE Conference on Network
Function Virtualization and Software Defined Networks (NFV-SDN), 2019.'
mla: 'Moro, Daniele, et al. “Demonstrating FOP4: A Flexible Platform to Prototype
NFV Offloading Scenarios.” IEEE Conference on Network Function Virtualization
and Software Defined Networks (NFV-SDN), IEEE, 2019.'
short: 'D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network
Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas,
2019.'
date_created: 2019-12-18T07:41:21Z
date_updated: 2022-01-06T06:52:22Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: peuster
date_created: 2019-12-18T08:12:28Z
date_updated: 2019-12-18T08:12:28Z
file_id: '15379'
file_name: main_for_ris.pdf
file_size: 370456
relation: main_file
file_date_updated: 2019-12-18T08:12:28Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Dallas
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Function Virtualization and Software Defined
Networks (NFV-SDN)
publisher: IEEE
status: public
title: 'Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios'
type: conference
user_id: '13271'
year: '2019'
...
---
_id: '15416'
author:
- first_name: Jochen
full_name: Jochen Baumeister
id: '46'
last_name: Baumeister
orcid: 0000-0003-2683-5826
citation:
ama: Baumeister J. New Quick And Easy Publication - Will be edited by LibreCat team.
Quick And Easy Journal Title. 2019.
apa: Baumeister, J. (2019). New Quick And Easy Publication - Will be edited by LibreCat
team. Quick And Easy Journal Title.
bibtex: '@article{Baumeister_2019, title={New Quick And Easy Publication - Will
be edited by LibreCat team}, journal={Quick And Easy Journal Title}, author={Baumeister,
Jochen}, year={2019} }'
chicago: Baumeister, Jochen. “New Quick And Easy Publication - Will Be Edited by
LibreCat Team.” Quick And Easy Journal Title, 2019.
ieee: J. Baumeister, “New Quick And Easy Publication - Will be edited by LibreCat
team,” Quick And Easy Journal Title, 2019.
mla: Baumeister, Jochen. “New Quick And Easy Publication - Will Be Edited by LibreCat
Team.” Quick And Easy Journal Title, 2019.
short: J. Baumeister, Quick And Easy Journal Title (2019).
date_created: 2019-12-28T16:52:41Z
date_updated: 2022-01-06T06:52:25Z
file:
- access_level: open_access
content_type: application/pdf
creator: jochenb
date_created: 2019-12-28T16:52:29Z
date_updated: 2019-12-28T16:52:29Z
file_id: '15417'
file_name: CV_Baumeister_engl_long.pdf
file_size: 101175
relation: main_file
file_date_updated: 2019-12-28T16:52:29Z
has_accepted_license: 1
oa: '1'
publication: Quick And Easy Journal Title
status: public
title: New Quick And Easy Publication - Will be edited by LibreCat team
type: journal_article
user_id: '46'
year: '2019'
...
---
_id: '15812'
abstract:
- lang: eng
text: Connectionist temporal classification (CTC) is a sequence-level loss that
has been successfully applied to train recurrent neural network (RNN) models for
automatic speech recognition. However, one major weakness of CTC is the conditional
independence assumption that makes it difficult for the model to learn label dependencies.
In this paper, we propose stimulated CTC, which uses stimulated learning to help
CTC models learn label dependencies implicitly by using an auxiliary RNN to generate
the appropriate stimuli. This stimuli comes in the form of an additional stimulation
loss term which encourages the model to learn said label dependencies. The auxiliary
network is only used during training and the inference model has the same structure
as a standard CTC model. The proposed stimulated CTC model achieves about 35%
relative character error rate improvements on a synthetic gesture keyboard recognition
task and over 30% relative word error rate improvements on the Librispeech automatic
speech recognition tasks over a baseline model trained with CTC only.
author:
- first_name: Jahn
full_name: Heymann, Jahn
last_name: Heymann
- first_name: Bo Li
full_name: Khe Chai Sim, Bo Li
last_name: Khe Chai Sim
citation:
ama: 'Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence
Modeling. In: ICASSP 2019, Brighton, UK. ; 2019.'
apa: Heymann, J., & Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated
Learning for Sequence Modeling. In ICASSP 2019, Brighton, UK.
bibtex: '@inproceedings{Heymann_Khe Chai Sim_2019, title={Improving CTC Using Stimulated
Learning for Sequence Modeling}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann,
Jahn and Khe Chai Sim, Bo Li}, year={2019} }'
chicago: Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated
Learning for Sequence Modeling.” In ICASSP 2019, Brighton, UK, 2019.
ieee: J. Heymann and B. L. Khe Chai Sim, “Improving CTC Using Stimulated Learning
for Sequence Modeling,” in ICASSP 2019, Brighton, UK, 2019.
mla: Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning
for Sequence Modeling.” ICASSP 2019, Brighton, UK, 2019.
short: 'J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.'
date_created: 2020-02-06T07:22:47Z
date_updated: 2022-01-06T06:52:35Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-02-06T07:24:26Z
date_updated: 2020-02-06T07:24:26Z
file_id: '15813'
file_name: ICASSP_2019_Heymann_1_Paper.pdf
file_size: 239665
relation: main_file
file_date_updated: 2020-02-06T07:24:26Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ICASSP 2019, Brighton, UK
status: public
title: Improving CTC Using Stimulated Learning for Sequence Modeling
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '15816'
abstract:
- lang: eng
text: 'Despite the strong modeling power of neural network acoustic models, speech
enhancement has been shown to deliver additional word error rate improvements
if multi-channel data is available. However, there has been a longstanding debate
whether enhancement should also be carried out on the ASR training data. In an
extensive experimental evaluation on the acoustically very challenging CHiME-5
dinner party data we show that: (i) cleaning up the training data can lead to
substantial error rate reductions, and (ii) enhancement in training is advisable
as long as enhancement in test is at least as strong as in training. This approach
stands in contrast and delivers larger gains than the common strategy reported
in the literature to augment the training database with additional artificially
degraded speech. Together with an acoustic model topology consisting of initial
CNN layers followed by factorized TDNN layers we achieve with 41.6% and 43.2%
WER on the DEV and EVAL test sets, respectively, a new single-system state-of-the-art
result on the CHiME-5 data. This is a 8% relative improvement compared to the
best word error rate published so far for a speech recognizer without system combination.'
author:
- first_name: Catalin
full_name: Zorila, Catalin
last_name: Zorila
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Rama
full_name: Doddipatla, Rama
last_name: Doddipatla
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Zorila C, Boeddeker C, Doddipatla R, Haeb-Umbach R. An Investigation Into
the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party
Transcription. In: ASRU 2019, Sentosa, Singapore. ; 2019.'
apa: Zorila, C., Boeddeker, C., Doddipatla, R., & Haeb-Umbach, R. (2019). An
Investigation Into the Effectiveness of Enhancement in ASR Training and Test for
Chime-5 Dinner Party Transcription. In ASRU 2019, Sentosa, Singapore.
bibtex: '@inproceedings{Zorila_Boeddeker_Doddipatla_Haeb-Umbach_2019, title={An
Investigation Into the Effectiveness of Enhancement in ASR Training and Test for
Chime-5 Dinner Party Transcription}, booktitle={ASRU 2019, Sentosa, Singapore},
author={Zorila, Catalin and Boeddeker, Christoph and Doddipatla, Rama and Haeb-Umbach,
Reinhold}, year={2019} }'
chicago: Zorila, Catalin, Christoph Boeddeker, Rama Doddipatla, and Reinhold Haeb-Umbach.
“An Investigation Into the Effectiveness of Enhancement in ASR Training and Test
for Chime-5 Dinner Party Transcription.” In ASRU 2019, Sentosa, Singapore,
2019.
ieee: C. Zorila, C. Boeddeker, R. Doddipatla, and R. Haeb-Umbach, “An Investigation
Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner
Party Transcription,” in ASRU 2019, Sentosa, Singapore, 2019.
mla: Zorila, Catalin, et al. “An Investigation Into the Effectiveness of Enhancement
in ASR Training and Test for Chime-5 Dinner Party Transcription.” ASRU 2019,
Sentosa, Singapore, 2019.
short: 'C. Zorila, C. Boeddeker, R. Doddipatla, R. Haeb-Umbach, in: ASRU 2019, Sentosa,
Singapore, 2019.'
date_created: 2020-02-06T07:35:08Z
date_updated: 2022-01-06T06:52:37Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-02-06T07:42:42Z
date_updated: 2020-02-06T07:42:42Z
file_id: '15817'
file_name: ASRU_2019_Boeddeker_Paper.pdf
file_size: 200256
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2020-02-06T07:42:55Z
date_updated: 2020-02-06T07:42:55Z
file_id: '15818'
file_name: ASRU_2019_Boeddeker_Poster.pdf
file_size: 123963
relation: main_file
file_date_updated: 2020-02-06T07:42:55Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: ASRU 2019, Sentosa, Singapore
status: public
title: An Investigation Into the Effectiveness of Enhancement in ASR Training and
Test for Chime-5 Dinner Party Transcription
type: conference
user_id: '59789'
year: '2019'
...
---
_id: '15908'
author:
- first_name: Jens
full_name: Müller, Jens
last_name: Müller
- first_name: Marcus
full_name: Brinkmann, Marcus
last_name: Brinkmann
- first_name: Damian
full_name: Poddebniak, Damian
last_name: Poddebniak
- first_name: Hanno
full_name: Böck, Hanno
last_name: Böck
- first_name: Sebastian
full_name: Schinzel, Sebastian
last_name: Schinzel
- first_name: Juraj
full_name: Somorovsky, Juraj
id: '83504'
last_name: Somorovsky
orcid: 0000-0002-3593-7720
- first_name: Jörg
full_name: Schwenk, Jörg
last_name: Schwenk
citation:
ama: 'Müller J, Brinkmann M, Poddebniak D, et al. “Johnny, you are fired!” -- Spoofing
OpenPGP and S/MIME Signatures in Emails. In: 28th {USENIX} Security Symposium
({USENIX} Security 19). Santa Clara, CA: {USENIX} Association; 2019:1011-1028.'
apa: 'Müller, J., Brinkmann, M., Poddebniak, D., Böck, H., Schinzel, S., Somorovsky,
J., & Schwenk, J. (2019). “Johnny, you are fired!” -- Spoofing OpenPGP and
S/MIME Signatures in Emails. In 28th {USENIX} Security Symposium ({USENIX}
Security 19) (pp. 1011–1028). Santa Clara, CA: {USENIX} Association.'
bibtex: '@inproceedings{Müller_Brinkmann_Poddebniak_Böck_Schinzel_Somorovsky_Schwenk_2019,
place={Santa Clara, CA}, title={“Johnny, you are fired!” -- Spoofing OpenPGP and
S/MIME Signatures in Emails}, booktitle={28th {USENIX} Security Symposium ({USENIX}
Security 19)}, publisher={{USENIX} Association}, author={Müller, Jens and Brinkmann,
Marcus and Poddebniak, Damian and Böck, Hanno and Schinzel, Sebastian and Somorovsky,
Juraj and Schwenk, Jörg}, year={2019}, pages={1011–1028} }'
chicago: 'Müller, Jens, Marcus Brinkmann, Damian Poddebniak, Hanno Böck, Sebastian
Schinzel, Juraj Somorovsky, and Jörg Schwenk. “‘Johnny, You Are Fired!’ -- Spoofing
OpenPGP and S/MIME Signatures in Emails.” In 28th {USENIX} Security Symposium
({USENIX} Security 19), 1011–28. Santa Clara, CA: {USENIX} Association, 2019.'
ieee: J. Müller et al., “‘Johnny, you are fired!’ -- Spoofing OpenPGP and
S/MIME Signatures in Emails,” in 28th {USENIX} Security Symposium ({USENIX}
Security 19), 2019, pp. 1011–1028.
mla: Müller, Jens, et al. “‘Johnny, You Are Fired!’ -- Spoofing OpenPGP and S/MIME
Signatures in Emails.” 28th {USENIX} Security Symposium ({USENIX} Security
19), {USENIX} Association, 2019, pp. 1011–28.
short: 'J. Müller, M. Brinkmann, D. Poddebniak, H. Böck, S. Schinzel, J. Somorovsky,
J. Schwenk, in: 28th {USENIX} Security Symposium ({USENIX} Security 19), {USENIX}
Association, Santa Clara, CA, 2019, pp. 1011–1028.'
date_created: 2020-02-15T09:50:57Z
date_updated: 2022-01-06T06:52:40Z
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.usenix.org/conference/usenixsecurity19/presentation/muller
oa: '1'
page: 1011-1028
place: Santa Clara, CA
publication: 28th {USENIX} Security Symposium ({USENIX} Security 19)
publication_identifier:
isbn:
- 978-1-939133-06-9
publisher: '{USENIX} Association'
status: public
title: '"Johnny, you are fired!" -- Spoofing OpenPGP and S/MIME Signatures in Emails'
type: conference
user_id: '83504'
year: '2019'
...
---
_id: '15909'
author:
- first_name: Robert
full_name: Merget, Robert
last_name: Merget
- first_name: Juraj
full_name: Somorovsky, Juraj
id: '83504'
last_name: Somorovsky
orcid: 0000-0002-3593-7720
- first_name: Nimrod
full_name: Aviram, Nimrod
last_name: Aviram
- first_name: Craig
full_name: Young, Craig
last_name: Young
- first_name: Janis
full_name: Fliegenschmidt, Janis
last_name: Fliegenschmidt
- first_name: Jörg
full_name: Schwenk, Jörg
last_name: Schwenk
- first_name: Yuval
full_name: Shavitt, Yuval
last_name: Shavitt
citation:
ama: 'Merget R, Somorovsky J, Aviram N, et al. Scalable Scanning and Automatic Classification
of TLS Padding Oracle Vulnerabilities. In: 28th {USENIX} Security Symposium
({USENIX} Security 19). Santa Clara, CA: {USENIX} Association; 2019:1029-1046.'
apa: 'Merget, R., Somorovsky, J., Aviram, N., Young, C., Fliegenschmidt, J., Schwenk,
J., & Shavitt, Y. (2019). Scalable Scanning and Automatic Classification of
TLS Padding Oracle Vulnerabilities. In 28th {USENIX} Security Symposium ({USENIX}
Security 19) (pp. 1029–1046). Santa Clara, CA: {USENIX} Association.'
bibtex: '@inproceedings{Merget_Somorovsky_Aviram_Young_Fliegenschmidt_Schwenk_Shavitt_2019,
place={Santa Clara, CA}, title={Scalable Scanning and Automatic Classification
of TLS Padding Oracle Vulnerabilities}, booktitle={28th {USENIX} Security Symposium
({USENIX} Security 19)}, publisher={{USENIX} Association}, author={Merget, Robert
and Somorovsky, Juraj and Aviram, Nimrod and Young, Craig and Fliegenschmidt,
Janis and Schwenk, Jörg and Shavitt, Yuval}, year={2019}, pages={1029–1046} }'
chicago: 'Merget, Robert, Juraj Somorovsky, Nimrod Aviram, Craig Young, Janis Fliegenschmidt,
Jörg Schwenk, and Yuval Shavitt. “Scalable Scanning and Automatic Classification
of TLS Padding Oracle Vulnerabilities.” In 28th {USENIX} Security Symposium
({USENIX} Security 19), 1029–46. Santa Clara, CA: {USENIX} Association, 2019.'
ieee: R. Merget et al., “Scalable Scanning and Automatic Classification of
TLS Padding Oracle Vulnerabilities,” in 28th {USENIX} Security Symposium ({USENIX}
Security 19), 2019, pp. 1029–1046.
mla: Merget, Robert, et al. “Scalable Scanning and Automatic Classification of TLS
Padding Oracle Vulnerabilities.” 28th {USENIX} Security Symposium ({USENIX}
Security 19), {USENIX} Association, 2019, pp. 1029–46.
short: 'R. Merget, J. Somorovsky, N. Aviram, C. Young, J. Fliegenschmidt, J. Schwenk,
Y. Shavitt, in: 28th {USENIX} Security Symposium ({USENIX} Security 19), {USENIX}
Association, Santa Clara, CA, 2019, pp. 1029–1046.'
date_created: 2020-02-15T09:51:09Z
date_updated: 2022-01-06T06:52:40Z
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.usenix.org/conference/usenixsecurity19/presentation/merget
oa: '1'
page: 1029-1046
place: Santa Clara, CA
publication: 28th {USENIX} Security Symposium ({USENIX} Security 19)
publication_identifier:
isbn:
- 978-1-939133-06-9
publisher: '{USENIX} Association'
status: public
title: Scalable Scanning and Automatic Classification of TLS Padding Oracle Vulnerabilities
type: conference
user_id: '83504'
year: '2019'
...
---
_id: '14568'
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Yan
full_name: Scholten, Yan
last_name: Scholten
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection
Models at Wikidata (Extended Abstract). In: INFORMATIK. ; 2019:289-290.
doi:10.18420/inf2019_48'
apa: Heindorf, S., Scholten, Y., Engels, G., & Potthast, M. (2019). Debiasing
Vandalism Detection Models at Wikidata (Extended Abstract). In INFORMATIK
(pp. 289–290). https://doi.org/10.18420/inf2019_48
bibtex: '@inproceedings{Heindorf_Scholten_Engels_Potthast_2019, title={Debiasing
Vandalism Detection Models at Wikidata (Extended Abstract)}, DOI={10.18420/inf2019_48},
booktitle={INFORMATIK}, author={Heindorf, Stefan and Scholten, Yan and Engels,
Gregor and Potthast, Martin}, year={2019}, pages={289–290} }'
chicago: Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing
Vandalism Detection Models at Wikidata (Extended Abstract).” In INFORMATIK,
289–90, 2019. https://doi.org/10.18420/inf2019_48.
ieee: S. Heindorf, Y. Scholten, G. Engels, and M. Potthast, “Debiasing Vandalism
Detection Models at Wikidata (Extended Abstract),” in INFORMATIK, 2019,
pp. 289–290.
mla: Heindorf, Stefan, et al. “Debiasing Vandalism Detection Models at Wikidata
(Extended Abstract).” INFORMATIK, 2019, pp. 289–90, doi:10.18420/inf2019_48.
short: 'S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: INFORMATIK, 2019,
pp. 289–290.'
date_created: 2019-11-05T15:48:52Z
date_updated: 2022-01-06T06:52:03Z
department:
- _id: '66'
doi: 10.18420/inf2019_48
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.gi.de/bitstream/handle/20.500.12116/24997/paper3_25.pdf
oa: '1'
page: 289-290
publication: INFORMATIK
status: public
title: Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)
type: conference
user_id: '11871'
year: '2019'
...