---
_id: '65178'
abstract:
- lang: eng
text: "Large intermediate results can cause join queries to run unexpectedly long.
This problem is particularly common for analytical queries, which aggregate data
over many tables to produce a comparatively small final output, and queries on
graph data, where intermediate results blow up quickly. Recent work inspired by
Yannakakis’ algorithm approaches this by modifying the query engine to avoid materializing
unnecessary tuples. However, this requires significant changes to the core of
the system, which is not feasible in many situations such as cloud environments
or proprietary systems.\r\nIn this work, we propose a flexible approach for optimizing
long-running join queries from the outside of the DBMS. Rewriting-based realizations
of Yannakakis’ algorithm suffer from inherent overhead due to the creation of
intermediate tables. Thus, we present an approach for detecting and targeting
queries which would benefit from a Yannakakis-style optimization. We introduce
a new benchmark combining 5 standard benchmarks and augmenting them with additional
instances, which provides a sufficient size and diversity for a machine learning
based solution. On PostgreSQL, DuckDB and SparkSQL, slowdowns on queries where
the rewriting is counterproductive are mostly avoided, as opposed to a naïve application
of the rewriting, and we observe significant improvements in end-to-end runtimes
over standard query execution and unconditional rewriting."
author:
- first_name: Daniela
full_name: Böhm, Daniela
last_name: Böhm
- first_name: Georg
full_name: Gottlob, Georg
last_name: Gottlob
- first_name: Matthias
full_name: Lanzinger, Matthias
last_name: Lanzinger
- first_name: Davide Mario
full_name: Longo, Davide Mario
last_name: Longo
- first_name: Cem
full_name: Okulmus, Cem
id: '114410'
last_name: Okulmus
orcid: 0000-0002-7742-0439
- first_name: Reinhard
full_name: Pichler, Reinhard
last_name: Pichler
- first_name: Alexander
full_name: Selzer, Alexander
last_name: Selzer
citation:
ama: 'Böhm D, Gottlob G, Lanzinger M, et al. Selective Use of Yannakakis’ Algorithm
for Consistent Performance Gains. In: Proceedings of the 28th International
Workshop on Design, Optimization, Languages and Analytical Processing of Big Data
(DOLAP 2026). ; 2026.'
apa: Böhm, D., Gottlob, G., Lanzinger, M., Longo, D. M., Okulmus, C., Pichler, R.,
& Selzer, A. (2026). Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains. Proceedings of the 28th International Workshop on Design,
Optimization, Languages and Analytical Processing of Big Data (DOLAP 2026).
bibtex: '@inproceedings{Böhm_Gottlob_Lanzinger_Longo_Okulmus_Pichler_Selzer_2026,
place={Tampere, Finland}, title={Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains}, booktitle={Proceedings of the 28th International Workshop
on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP
2026)}, author={Böhm, Daniela and Gottlob, Georg and Lanzinger, Matthias and Longo,
Davide Mario and Okulmus, Cem and Pichler, Reinhard and Selzer, Alexander}, year={2026}
}'
chicago: Böhm, Daniela, Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem
Okulmus, Reinhard Pichler, and Alexander Selzer. “Selective Use of Yannakakis’
Algorithm for Consistent Performance Gains.” In Proceedings of the 28th International
Workshop on Design, Optimization, Languages and Analytical Processing of Big Data
(DOLAP 2026). Tampere, Finland, 2026.
ieee: D. Böhm et al., “Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains,” 2026.
mla: Böhm, Daniela, et al. “Selective Use of Yannakakis’ Algorithm for Consistent
Performance Gains.” Proceedings of the 28th International Workshop on Design,
Optimization, Languages and Analytical Processing of Big Data (DOLAP 2026),
2026.
short: 'D. Böhm, G. Gottlob, M. Lanzinger, D.M. Longo, C. Okulmus, R. Pichler, A.
Selzer, in: Proceedings of the 28th International Workshop on Design, Optimization,
Languages and Analytical Processing of Big Data (DOLAP 2026), Tampere, Finland,
2026.'
date_created: 2026-03-27T15:20:54Z
date_updated: 2026-03-27T15:22:01Z
department:
- _id: '888'
keyword:
- Join Queries
- Acyclic Queries
- Query Processing
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ceur-ws.org/Vol-4186/paper2.pdf
oa: '1'
place: Tampere, Finland
publication: Proceedings of the 28th International Workshop on Design, Optimization,
Languages and Analytical Processing of Big Data (DOLAP 2026)
status: public
title: Selective Use of Yannakakis’ Algorithm for Consistent Performance Gains
type: conference
user_id: '114410'
year: '2026'
...
---
_id: '49430'
abstract:
- lang: eng
text: Within the current energy and environmental crisis, new material- and energy-saving
processes are needed. For this reason, this study focuses on the development of
a new forming technology for Ti-6Al-4V sheet metal. It is based on combination
of solution treatment by resistive heating with rapid tool-based quenching and
subsequent annealing. This new “TISTRAQ” process is comparable with press-hardening
already known for steels and hot die quenching known for aluminium alloys. One
of the main influencing factors for this process is the heat transfer coefficient
(HTC). It is an important driver for adjustment of basic parameters, as selection
of tool material or the forming speed but also plays an important role while elaborating
temperature distribution in the numerical model. Therefore, a new and unique test
rig was developed to determine the HTC and to perform tool-based heat treatment
at specimen level under laboratory conditions. The test rig was used to investigate
the influence of the titanium-tool-lubricant system on HTC and cooling rate. Further
the effect of heat treatment in the test rig and tool-based quenching on microstructure
and mechanical properties was studied. To improve the prediction of the temperature
distribution of the titanium during cooling, the HTC was integrated into the numerical
process simulation
author:
- first_name: Maximilian Alexander
full_name: Kaiser, Maximilian Alexander
id: '72351'
last_name: Kaiser
orcid: 0009-0008-1333-3396
- first_name: Fabian
full_name: Höschen, Fabian
last_name: Höschen
- first_name: Nina
full_name: Pfeffer, Nina
last_name: Pfeffer
- first_name: Mathias
full_name: Merten, Mathias
last_name: Merten
- first_name: Thomas
full_name: Meyer, Thomas
last_name: Meyer
- first_name: Thorsten
full_name: Marten, Thorsten
id: '338'
last_name: Marten
orcid: 0009-0001-6433-7839
- first_name: Pawel
full_name: Rockicki, Pawel
last_name: Rockicki
- first_name: Heinz Werner
full_name: Höppel, Heinz Werner
last_name: Höppel
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: 'Kaiser MA, Höschen F, Pfeffer N, et al. The new TISTRAQ process: Solution
treatment with rapid quenching and annealing for Ti-6Al-4V sheet metal part forming
- investigation on heat transfer coefficient and influence on cooling rates. In:
IOM3. Chapter 14: Forming, Machining & Joining [Version 1; Not Peer Reviewed].
; 2024. doi:doi.org/10.7490/f1000research.1119929.1'
apa: 'Kaiser, M. A., Höschen, F., Pfeffer, N., Merten, M., Meyer, T., Marten, T.,
Rockicki, P., Höppel, H. W., & Tröster, T. (2024). The new TISTRAQ process:
Solution treatment with rapid quenching and annealing for Ti-6Al-4V sheet metal
part forming - investigation on heat transfer coefficient and influence on cooling
rates. IOM3. Chapter 14: Forming, Machining & Joining [Version 1; Not Peer
Reviewed]. 15th World Conference on Titanium, Edinburgh. https://doi.org/doi.org/10.7490/f1000research.1119929.1'
bibtex: '@inproceedings{Kaiser_Höschen_Pfeffer_Merten_Meyer_Marten_Rockicki_Höppel_Tröster_2024,
title={The new TISTRAQ process: Solution treatment with rapid quenching and annealing
for Ti-6Al-4V sheet metal part forming - investigation on heat transfer coefficient
and influence on cooling rates}, DOI={doi.org/10.7490/f1000research.1119929.1},
booktitle={IOM3. Chapter 14: Forming, Machining & Joining [version 1; not
peer reviewed]}, author={Kaiser, Maximilian Alexander and Höschen, Fabian and
Pfeffer, Nina and Merten, Mathias and Meyer, Thomas and Marten, Thorsten and Rockicki,
Pawel and Höppel, Heinz Werner and Tröster, Thomas}, year={2024} }'
chicago: 'Kaiser, Maximilian Alexander, Fabian Höschen, Nina Pfeffer, Mathias Merten,
Thomas Meyer, Thorsten Marten, Pawel Rockicki, Heinz Werner Höppel, and Thomas
Tröster. “The New TISTRAQ Process: Solution Treatment with Rapid Quenching and
Annealing for Ti-6Al-4V Sheet Metal Part Forming - Investigation on Heat Transfer
Coefficient and Influence on Cooling Rates.” In IOM3. Chapter 14: Forming,
Machining & Joining [Version 1; Not Peer Reviewed], 2024. https://doi.org/doi.org/10.7490/f1000research.1119929.1.'
ieee: 'M. A. Kaiser et al., “The new TISTRAQ process: Solution treatment
with rapid quenching and annealing for Ti-6Al-4V sheet metal part forming - investigation
on heat transfer coefficient and influence on cooling rates,” presented at the
15th World Conference on Titanium, Edinburgh, 2024, doi: doi.org/10.7490/f1000research.1119929.1.'
mla: 'Kaiser, Maximilian Alexander, et al. “The New TISTRAQ Process: Solution Treatment
with Rapid Quenching and Annealing for Ti-6Al-4V Sheet Metal Part Forming - Investigation
on Heat Transfer Coefficient and Influence on Cooling Rates.” IOM3. Chapter
14: Forming, Machining & Joining [Version 1; Not Peer Reviewed], 2024,
doi:doi.org/10.7490/f1000research.1119929.1.'
short: 'M.A. Kaiser, F. Höschen, N. Pfeffer, M. Merten, T. Meyer, T. Marten, P.
Rockicki, H.W. Höppel, T. Tröster, in: IOM3. Chapter 14: Forming, Machining &
Joining [Version 1; Not Peer Reviewed], 2024.'
conference:
end_date: 2023-06-16
location: Edinburgh
name: 15th World Conference on Titanium
start_date: 2023-06-12
date_created: 2023-12-04T10:00:21Z
date_updated: 2025-05-19T11:46:47Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
doi: doi.org/10.7490/f1000research.1119929.1
keyword:
- Interfacial heat transfer coefficient
- Ti-6Al-4V
- nonisothermal forming
- thermomechanical processing
- TISTRAQ process
language:
- iso: eng
publication: 'IOM3. Chapter 14: Forming, Machining & Joining [version 1; not peer
reviewed]'
publication_status: published
quality_controlled: '1'
status: public
title: 'The new TISTRAQ process: Solution treatment with rapid quenching and annealing
for Ti-6Al-4V sheet metal part forming - investigation on heat transfer coefficient
and influence on cooling rates'
type: conference
user_id: '72351'
year: '2024'
...
---
_id: '49437'
abstract:
- lang: eng
text: "The phase and TTT diagrams of the Ti-6Al-4V system allow the development
of a new forming process for a more energy- and materialefficient production of
sheet metal parts. This new “TISTRAQ” process is composed of two steps. In terms
of process technology, the first step is comparable to a direct press-hardening
process already well known for steels. In this step, the Ti-6Al-4V sheet material
is resistively heated to a temperature below β-transus Tβ and, after a very short
holding time, simultaneously formed and quenched by use of water cooled tools.
Thereby, the β phase undergoes a martensitic transformation. The second step is
a subsequent short-time annealing, which leads to a hardening of the material.
In this work, a new test rig using resistive heating technique was used in order
to produce\r\ndifferent solution treated and tool quenched (STQ) and subsequently
annealed (STA) states. In this paper, the effects of heating rate, solution treatment
temperature and holding time on microstructure and mechanical properties are addressed.
For the characterisation, tensile testing and scanning electron microscopy were
used. By the systematic variation of applied processing parameters, dominating
effects on microstructure and mechanical properties were evaluated. For example,
the solution treatment temperature was found to have a significant effect on microstructural
features and characteristic strength and strain values. The obtained results reveal
a high potential for future technical applications."
author:
- first_name: Nina
full_name: Pfeffer, Nina
last_name: Pfeffer
- first_name: Maximilian Alexander
full_name: Kaiser, Maximilian Alexander
id: '72351'
last_name: Kaiser
orcid: 0009-0008-1333-3396
- first_name: Thomas
full_name: Meyer, Thomas
last_name: Meyer
- first_name: Mathias
full_name: Göken, Mathias
last_name: Göken
- first_name: Heinz Werner
full_name: Höppel, Heinz Werner
last_name: Höppel
citation:
ama: 'Pfeffer N, Kaiser MA, Meyer T, Göken M, Höppel HW. The new TISTRAQ process:
Solution treatment with rapid quenching and annealing for Ti-6Al-4V sheet metal
part forming - the effect of processing parameters on microstructure and mechanical
properties. In: IOM3. Chapter 14: Forming, Machining & Joining [Version
1; Not Peer Reviewed]. doi:https://doi.org/10.7490/f1000research.1119929.1'
apa: 'Pfeffer, N., Kaiser, M. A., Meyer, T., Göken, M., & Höppel, H. W. (n.d.).
The new TISTRAQ process: Solution treatment with rapid quenching and annealing
for Ti-6Al-4V sheet metal part forming - the effect of processing parameters on
microstructure and mechanical properties. IOM3. Chapter 14: Forming, Machining
& Joining [Version 1; Not Peer Reviewed]. 15th World Conference on Titanium,
Edinburgh. https://doi.org/10.7490/f1000research.1119929.1'
bibtex: '@inproceedings{Pfeffer_Kaiser_Meyer_Göken_Höppel, title={The new TISTRAQ
process: Solution treatment with rapid quenching and annealing for Ti-6Al-4V sheet
metal part forming - the effect of processing parameters on microstructure and
mechanical properties}, DOI={https://doi.org/10.7490/f1000research.1119929.1},
booktitle={IOM3. Chapter 14: Forming, Machining & Joining [version 1; not
peer reviewed]}, author={Pfeffer, Nina and Kaiser, Maximilian Alexander and Meyer,
Thomas and Göken, Mathias and Höppel, Heinz Werner} }'
chicago: 'Pfeffer, Nina, Maximilian Alexander Kaiser, Thomas Meyer, Mathias Göken,
and Heinz Werner Höppel. “The New TISTRAQ Process: Solution Treatment with Rapid
Quenching and Annealing for Ti-6Al-4V Sheet Metal Part Forming - the Effect of
Processing Parameters on Microstructure and Mechanical Properties.” In IOM3.
Chapter 14: Forming, Machining & Joining [Version 1; Not Peer Reviewed],
n.d. https://doi.org/10.7490/f1000research.1119929.1.'
ieee: 'N. Pfeffer, M. A. Kaiser, T. Meyer, M. Göken, and H. W. Höppel, “The new
TISTRAQ process: Solution treatment with rapid quenching and annealing for Ti-6Al-4V
sheet metal part forming - the effect of processing parameters on microstructure
and mechanical properties,” presented at the 15th World Conference on Titanium,
Edinburgh, doi: https://doi.org/10.7490/f1000research.1119929.1.'
mla: 'Pfeffer, Nina, et al. “The New TISTRAQ Process: Solution Treatment with Rapid
Quenching and Annealing for Ti-6Al-4V Sheet Metal Part Forming - the Effect of
Processing Parameters on Microstructure and Mechanical Properties.” IOM3. Chapter
14: Forming, Machining & Joining [Version 1; Not Peer Reviewed], doi:https://doi.org/10.7490/f1000research.1119929.1.'
short: 'N. Pfeffer, M.A. Kaiser, T. Meyer, M. Göken, H.W. Höppel, in: IOM3. Chapter
14: Forming, Machining & Joining [Version 1; Not Peer Reviewed], n.d.'
conference:
end_date: 2023-06-16
location: Edinburgh
name: 15th World Conference on Titanium
start_date: 2023-06-12
date_created: 2023-12-04T11:08:49Z
date_updated: 2025-05-19T11:46:28Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
doi: https://doi.org/10.7490/f1000research.1119929.1
keyword:
- Ti-6Al-4V
- thermomechanical processing
- resistive heating
- quench-forming
- process parameter-microstructure-properties relationship
language:
- iso: eng
publication: 'IOM3. Chapter 14: Forming, Machining & Joining [version 1; not peer
reviewed]'
publication_status: submitted
status: public
title: 'The new TISTRAQ process: Solution treatment with rapid quenching and annealing
for Ti-6Al-4V sheet metal part forming - the effect of processing parameters on
microstructure and mechanical properties'
type: conference
user_id: '72351'
year: '2024'
...
---
_id: '53262'
author:
- first_name: Ignacio
full_name: Santamaria, Ignacio
last_name: Santamaria
- first_name: Mohammad
full_name: Soleymani, Mohammad
last_name: Soleymani
- first_name: Eduard
full_name: Jorswieck, Eduard
last_name: Jorswieck
- first_name: Jesús
full_name: Gutiérrez, Jesús
last_name: Gutiérrez
citation:
ama: Santamaria I, Soleymani M, Jorswieck E, Gutiérrez J. SNR Maximization in Beyond
Diagonal RIS-Assisted Single and Multiple Antenna Links. IEEE Signal Processing
Letters. 2023;30:923-926. doi:10.1109/lsp.2023.3296902
apa: Santamaria, I., Soleymani, M., Jorswieck, E., & Gutiérrez, J. (2023). SNR
Maximization in Beyond Diagonal RIS-Assisted Single and Multiple Antenna Links.
IEEE Signal Processing Letters, 30, 923–926. https://doi.org/10.1109/lsp.2023.3296902
bibtex: '@article{Santamaria_Soleymani_Jorswieck_Gutiérrez_2023, title={SNR Maximization
in Beyond Diagonal RIS-Assisted Single and Multiple Antenna Links}, volume={30},
DOI={10.1109/lsp.2023.3296902},
journal={IEEE Signal Processing Letters}, publisher={Institute of Electrical and
Electronics Engineers (IEEE)}, author={Santamaria, Ignacio and Soleymani, Mohammad
and Jorswieck, Eduard and Gutiérrez, Jesús}, year={2023}, pages={923–926} }'
chicago: 'Santamaria, Ignacio, Mohammad Soleymani, Eduard Jorswieck, and Jesús Gutiérrez.
“SNR Maximization in Beyond Diagonal RIS-Assisted Single and Multiple Antenna
Links.” IEEE Signal Processing Letters 30 (2023): 923–26. https://doi.org/10.1109/lsp.2023.3296902.'
ieee: 'I. Santamaria, M. Soleymani, E. Jorswieck, and J. Gutiérrez, “SNR Maximization
in Beyond Diagonal RIS-Assisted Single and Multiple Antenna Links,” IEEE Signal
Processing Letters, vol. 30, pp. 923–926, 2023, doi: 10.1109/lsp.2023.3296902.'
mla: Santamaria, Ignacio, et al. “SNR Maximization in Beyond Diagonal RIS-Assisted
Single and Multiple Antenna Links.” IEEE Signal Processing Letters, vol.
30, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 923–26,
doi:10.1109/lsp.2023.3296902.
short: I. Santamaria, M. Soleymani, E. Jorswieck, J. Gutiérrez, IEEE Signal Processing
Letters 30 (2023) 923–926.
date_created: 2024-04-05T09:01:21Z
date_updated: 2024-04-05T13:20:51Z
department:
- _id: '263'
doi: 10.1109/lsp.2023.3296902
intvolume: ' 30'
keyword:
- Applied Mathematics
- Electrical and Electronic Engineering
- Signal Processing
language:
- iso: eng
page: 923-926
publication: IEEE Signal Processing Letters
publication_identifier:
issn:
- 1070-9908
- 1558-2361
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: SNR Maximization in Beyond Diagonal RIS-Assisted Single and Multiple Antenna
Links
type: journal_article
user_id: '67076'
volume: 30
year: '2023'
...
---
_id: '53265'
author:
- first_name: Mohammad
full_name: Soleymani, Mohammad
last_name: Soleymani
- first_name: Ignacio
full_name: Santamaria, Ignacio
last_name: Santamaria
- first_name: Eduard
full_name: Jorswieck, Eduard
last_name: Jorswieck
- first_name: Sepehr
full_name: Rezvani, Sepehr
last_name: Rezvani
citation:
ama: Soleymani M, Santamaria I, Jorswieck E, Rezvani S. NOMA-Based Improper Signaling
for Multicell MISO RIS-Assisted Broadcast Channels. IEEE Transactions on Signal
Processing. 2023;71:963-978. doi:10.1109/tsp.2023.3259145
apa: Soleymani, M., Santamaria, I., Jorswieck, E., & Rezvani, S. (2023). NOMA-Based
Improper Signaling for Multicell MISO RIS-Assisted Broadcast Channels. IEEE
Transactions on Signal Processing, 71, 963–978. https://doi.org/10.1109/tsp.2023.3259145
bibtex: '@article{Soleymani_Santamaria_Jorswieck_Rezvani_2023, title={NOMA-Based
Improper Signaling for Multicell MISO RIS-Assisted Broadcast Channels}, volume={71},
DOI={10.1109/tsp.2023.3259145},
journal={IEEE Transactions on Signal Processing}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Soleymani, Mohammad and Santamaria,
Ignacio and Jorswieck, Eduard and Rezvani, Sepehr}, year={2023}, pages={963–978}
}'
chicago: 'Soleymani, Mohammad, Ignacio Santamaria, Eduard Jorswieck, and Sepehr
Rezvani. “NOMA-Based Improper Signaling for Multicell MISO RIS-Assisted Broadcast
Channels.” IEEE Transactions on Signal Processing 71 (2023): 963–78. https://doi.org/10.1109/tsp.2023.3259145.'
ieee: 'M. Soleymani, I. Santamaria, E. Jorswieck, and S. Rezvani, “NOMA-Based Improper
Signaling for Multicell MISO RIS-Assisted Broadcast Channels,” IEEE Transactions
on Signal Processing, vol. 71, pp. 963–978, 2023, doi: 10.1109/tsp.2023.3259145.'
mla: Soleymani, Mohammad, et al. “NOMA-Based Improper Signaling for Multicell MISO
RIS-Assisted Broadcast Channels.” IEEE Transactions on Signal Processing,
vol. 71, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 963–78,
doi:10.1109/tsp.2023.3259145.
short: M. Soleymani, I. Santamaria, E. Jorswieck, S. Rezvani, IEEE Transactions
on Signal Processing 71 (2023) 963–978.
date_created: 2024-04-05T09:03:42Z
date_updated: 2024-04-05T13:21:50Z
department:
- _id: '263'
doi: 10.1109/tsp.2023.3259145
intvolume: ' 71'
keyword:
- Electrical and Electronic Engineering
- Signal Processing
language:
- iso: eng
page: 963-978
publication: IEEE Transactions on Signal Processing
publication_identifier:
issn:
- 1053-587X
- 1941-0476
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: NOMA-Based Improper Signaling for Multicell MISO RIS-Assisted Broadcast Channels
type: journal_article
user_id: '67076'
volume: 71
year: '2023'
...
---
_id: '27507'
abstract:
- lang: eng
text: Accurate real estate appraisal is essential in decision making processes of
financial institutions, governments, and trending real estate platforms like Zillow.
One of the most important factors of a property’s value is its location. However,
creating accurate quantifications of location remains a challenge. While traditional
approaches rely on Geographical Information Systems (GIS), recently unstructured
data in form of images was incorporated in the appraisal process, but text data
remains an untapped reservoir. Our study shows that using text data in form of
geolocated Wikipedia articles can increase predictive performance over traditional
GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to
automatically extract geographically weighted vector representations for text
is established and used alongside traditional structural housing features to make
predictions and to uncover local patterns on sale price for real estate transactions
between 2015 and 2020 in Allegheny County, Pennsylvania.
author:
- first_name: Tim
full_name: Heuwinkel, Tim
last_name: Heuwinkel
- first_name: Jan-Peter
full_name: Kucklick, Jan-Peter
id: '77066'
last_name: Kucklick
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Heuwinkel T, Kucklick J-P, Müller O. Using Geolocated Text to Quantify Location
in Real Estate Appraisal. In: 55th Annual Hawaii International Conference on
System Sciences (HICSS-55). ; 2022.'
apa: Heuwinkel, T., Kucklick, J.-P., & Müller, O. (2022). Using Geolocated Text
to Quantify Location in Real Estate Appraisal. 55th Annual Hawaii International
Conference on System Sciences (HICSS-55). Hawaii International Conference
on System Science (HICSS), Virtual.
bibtex: '@inproceedings{Heuwinkel_Kucklick_Müller_2022, title={Using Geolocated
Text to Quantify Location in Real Estate Appraisal}, booktitle={55th Annual Hawaii
International Conference on System Sciences (HICSS-55)}, author={Heuwinkel, Tim
and Kucklick, Jan-Peter and Müller, Oliver}, year={2022} }'
chicago: Heuwinkel, Tim, Jan-Peter Kucklick, and Oliver Müller. “Using Geolocated
Text to Quantify Location in Real Estate Appraisal.” In 55th Annual Hawaii
International Conference on System Sciences (HICSS-55), 2022.
ieee: T. Heuwinkel, J.-P. Kucklick, and O. Müller, “Using Geolocated Text to Quantify
Location in Real Estate Appraisal,” presented at the Hawaii International Conference
on System Science (HICSS), Virtual, 2022.
mla: Heuwinkel, Tim, et al. “Using Geolocated Text to Quantify Location in Real
Estate Appraisal.” 55th Annual Hawaii International Conference on System Sciences
(HICSS-55), 2022.
short: 'T. Heuwinkel, J.-P. Kucklick, O. Müller, in: 55th Annual Hawaii International
Conference on System Sciences (HICSS-55), 2022.'
conference:
end_date: 2022-01-07
location: Virtual
name: Hawaii International Conference on System Science (HICSS)
start_date: 2022-01-03
date_created: 2021-11-17T07:12:03Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '195'
keyword:
- Real Estate Appraisal
- Text Regression
- Natural Language Processing (NLP)
- Location Intelligence
- Wikipedia
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/bitstream/10125/80039/0561.pdf
oa: '1'
publication: 55th Annual Hawaii International Conference on System Sciences (HICSS-55)
status: public
title: Using Geolocated Text to Quantify Location in Real Estate Appraisal
type: conference
user_id: '77066'
year: '2022'
...
---
_id: '31054'
abstract:
- lang: eng
text: This paper aims at discussing past limitations set in sentiment analysis research
regarding explicit and implicit mentions of opinions. Previous studies have regularly
neglected this question in favor of methodical research on standard-datasets.
Furthermore, they were limited to linguistically less-diverse domains, such as
commercial product reviews. We face this issue by annotating a German-language
physician review dataset that contains numerous implicit, long, and complex statements
that indicate aspect ratings, such as the physician’s friendliness. We discuss
the nature of implicit statements and present various samples to illustrate the
challenge described.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
citation:
ama: 'Kersting J, Bäumer FS. Implicit Statements in Healthcare Reviews: A Challenge
for Sentiment Analysis. In: Kersting J, ed. Proceedings of the Fourteenth International
Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track
AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications.
IARIA; 2022:5-9.'
apa: 'Kersting, J., & Bäumer, F. S. (2022). Implicit Statements in Healthcare
Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), Proceedings
of the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications (pp. 5–9). IARIA.'
bibtex: '@inproceedings{Kersting_Bäumer_2022, place={Barcelona, Spain}, title={Implicit
Statements in Healthcare Reviews: A Challenge for Sentiment Analysis}, booktitle={Proceedings
of the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications}, publisher={IARIA}, author={Kersting, Joschka
and Bäumer, Frederik Simon}, editor={Kersting, Joschka}, year={2022}, pages={5–9}
}'
chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in
Healthcare Reviews: A Challenge for Sentiment Analysis.” In Proceedings of
the Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data
Science for Real-World Applications, edited by Joschka Kersting, 5–9. Barcelona,
Spain: IARIA, 2022.'
ieee: 'J. Kersting and F. S. Bäumer, “Implicit Statements in Healthcare Reviews:
A Challenge for Sentiment Analysis,” in Proceedings of the Fourteenth International
Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track
AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications,
Barcelona, Spain, 2022, pp. 5–9.'
mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare
Reviews: A Challenge for Sentiment Analysis.” Proceedings of the Fourteenth
International Conference on Pervasive Patterns and Applications (PATTERNS 2022):
Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World
Applications, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.'
short: 'J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), Proceedings of the Fourteenth
International Conference on Pervasive Patterns and Applications (PATTERNS 2022):
Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World
Applications, IARIA, Barcelona, Spain, 2022, pp. 5–9.'
conference:
location: Barcelona, Spain
name: The Fourteenth International Conference on Pervasive Patterns and Applications
(PATTERNS 2022)
start_date: 2022-03
date_created: 2022-05-04T08:12:09Z
date_updated: 2022-12-01T13:40:11Z
ddc:
- '006'
editor:
- first_name: Joschka
full_name: Kersting, Joschka
last_name: Kersting
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2022-12-01T13:39:48Z
date_updated: 2022-12-01T13:39:48Z
file_id: '34172'
file_name: Kersting & Bäumer (2022), Kersting2022.pdf
file_size: 155548
relation: main_file
success: 1
file_date_updated: 2022-12-01T13:39:48Z
has_accepted_license: '1'
keyword:
- Sentiment analysis
- Natural language processing
- Aspect phrase extraction
language:
- iso: eng
page: 5-9
place: Barcelona, Spain
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
publication: 'Proceedings of the Fourteenth International Conference on Pervasive
Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial
Intelligence - Data Science for Real-World Applications'
publication_status: published
publisher: IARIA
status: public
title: 'Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis'
type: conference
user_id: '58701'
year: '2022'
...
---
_id: '33988'
article_number: '2100396'
article_type: original
author:
- first_name: Elmar
full_name: Moritzer, Elmar
last_name: Moritzer
- first_name: Christine
full_name: Driediger, Christine
last_name: Driediger
citation:
ama: Moritzer E, Driediger C. Reactive Direct Bonding of Digital Light Process Components.
Macromolecular Symposia. 2022;404(1). doi:10.1002/masy.202100396
apa: Moritzer, E., & Driediger, C. (2022). Reactive Direct Bonding of Digital
Light Process Components. Macromolecular Symposia, 404(1), Article
2100396. https://doi.org/10.1002/masy.202100396
bibtex: '@article{Moritzer_Driediger_2022, title={Reactive Direct Bonding of Digital
Light Process Components}, volume={404}, DOI={10.1002/masy.202100396},
number={12100396}, journal={Macromolecular Symposia}, publisher={Wiley}, author={Moritzer,
Elmar and Driediger, Christine}, year={2022} }'
chicago: Moritzer, Elmar, and Christine Driediger. “Reactive Direct Bonding of Digital
Light Process Components.” Macromolecular Symposia 404, no. 1 (2022). https://doi.org/10.1002/masy.202100396.
ieee: 'E. Moritzer and C. Driediger, “Reactive Direct Bonding of Digital Light Process
Components,” Macromolecular Symposia, vol. 404, no. 1, Art. no. 2100396,
2022, doi: 10.1002/masy.202100396.'
mla: Moritzer, Elmar, and Christine Driediger. “Reactive Direct Bonding of Digital
Light Process Components.” Macromolecular Symposia, vol. 404, no. 1, 2100396,
Wiley, 2022, doi:10.1002/masy.202100396.
short: E. Moritzer, C. Driediger, Macromolecular Symposia 404 (2022).
date_created: 2022-11-03T13:21:13Z
date_updated: 2022-11-03T13:32:18Z
department:
- _id: '9'
- _id: '367'
doi: 10.1002/masy.202100396
has_accepted_license: '1'
intvolume: ' 404'
issue: '1'
keyword:
- digital light processing
- material combination
- reactive direct bonding
- vat photopolymerization
language:
- iso: eng
publication: Macromolecular Symposia
publication_identifier:
issn:
- 1022-1360
- 1521-3900
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Reactive Direct Bonding of Digital Light Process Components
type: journal_article
user_id: '38770'
volume: 404
year: '2022'
...
---
_id: '34046'
author:
- first_name: Christin
full_name: Hoffmann, Christin
last_name: Hoffmann
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: Hoffmann C, Thommes K. Seizing the Opportunity for Automation—How Traffic Density
Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions on Human-Machine
Systems. Published online 2022:1-11. doi:10.1109/thms.2022.3212335
apa: Hoffmann, C., & Thommes, K. (2022). Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions
on Human-Machine Systems, 1–11. https://doi.org/10.1109/thms.2022.3212335
bibtex: '@article{Hoffmann_Thommes_2022, title={Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control}, DOI={10.1109/thms.2022.3212335},
journal={IEEE Transactions on Human-Machine Systems}, publisher={Institute of
Electrical and Electronics Engineers (IEEE)}, author={Hoffmann, Christin and Thommes,
Kirsten}, year={2022}, pages={1–11} }'
chicago: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions
on Human-Machine Systems, 2022, 1–11. https://doi.org/10.1109/thms.2022.3212335.
ieee: 'C. Hoffmann and K. Thommes, “Seizing the Opportunity for Automation—How Traffic
Density Determines Truck Drivers’ Use of Cruise Control,” IEEE Transactions
on Human-Machine Systems, pp. 1–11, 2022, doi: 10.1109/thms.2022.3212335.'
mla: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions
on Human-Machine Systems, Institute of Electrical and Electronics Engineers
(IEEE), 2022, pp. 1–11, doi:10.1109/thms.2022.3212335.
short: C. Hoffmann, K. Thommes, IEEE Transactions on Human-Machine Systems (2022)
1–11.
date_created: 2022-11-10T07:49:01Z
date_updated: 2023-01-09T14:05:54Z
department:
- _id: '178'
- _id: '184'
doi: 10.1109/thms.2022.3212335
keyword:
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Human-Computer Interaction
- Signal Processing
- Control and Systems Engineering
- Human Factors and Ergonomics
language:
- iso: eng
page: 1-11
publication: IEEE Transactions on Human-Machine Systems
publication_identifier:
issn:
- 2168-2291
- 2168-2305
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
quality_controlled: '1'
status: public
title: Seizing the Opportunity for Automation—How Traffic Density Determines Truck
Drivers' Use of Cruise Control
type: journal_article
user_id: '72497'
year: '2022'
...
---
_id: '26049'
abstract:
- lang: eng
text: 'Content is the new oil. Users consume billions of terabytes a day while surfing
on news sites or blogs, posting on social media sites, and sending chat messages
around the globe. While content is heterogeneous, the dominant form of web content
is text. There are situations where more diversity needs to be introduced into
text content, for example, to reuse it on websites or to allow a chatbot to base
its models on the information conveyed rather than of the language used. In order
to achieve this, paraphrasing techniques have been developed: One example is Text
spinning, a technique that automatically paraphrases text while leaving the intent
intact. This makes it easier to reuse content, or to change the language generated
by the bot more human. One method for modifying texts is a combination of translation
and back-translation. This paper presents NATTS, a naive approach that uses transformer-based
translation models to create diversified text, combining translation steps in
one model. An advantage of this approach is that it can be fine-tuned and handle
technical language.'
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
last_name: Bäumer
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Sergej
full_name: Denisov, Sergej
last_name: Denisov
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Kersting J, Denisov S, Geierhos M. IN OTHER WORDS: A NAIVE APPROACH
TO TEXT SPINNING. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET
2021 AND APPLIED COMPUTING 2021. IADIS; 2021:221--225.'
apa: 'Bäumer, F. S., Kersting, J., Denisov, S., & Geierhos, M. (2021). IN OTHER
WORDS: A NAIVE APPROACH TO TEXT SPINNING. PROCEEDINGS OF THE INTERNATIONAL
CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225.'
bibtex: '@inproceedings{Bäumer_Kersting_Denisov_Geierhos_2021, title={IN OTHER WORDS:
A NAIVE APPROACH TO TEXT SPINNING}, booktitle={PROCEEDINGS OF THE INTERNATIONAL
CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021}, publisher={IADIS},
author={Bäumer, Frederik Simon and Kersting, Joschka and Denisov, Sergej and Geierhos,
Michaela}, year={2021}, pages={221--225} }'
chicago: 'Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela
Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In PROCEEDINGS
OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021,
221--225. IADIS, 2021.'
ieee: 'F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS:
A NAIVE APPROACH TO TEXT SPINNING,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCES
ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, Lisbon, Portugal, 2021, pp.
221--225.'
mla: 'Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.”
PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED
COMPUTING 2021, IADIS, 2021, pp. 221--225.'
short: 'F.S. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: PROCEEDINGS OF THE
INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS,
2021, pp. 221--225.'
conference:
end_date: 15.10.2021
location: Lisbon, Portugal
name: 18th International Conference on Applied Computing
start_date: 13.10.2021
date_created: 2021-10-11T15:26:58Z
date_updated: 2022-01-06T06:57:16Z
ddc:
- '000'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2021-10-15T15:54:41Z
date_updated: 2021-10-15T15:54:41Z
file_id: '26282'
file_name: Bäumer et al. (2021), Baeumer2021.pdf
file_size: 411667
relation: main_file
success: 1
file_date_updated: 2021-10-15T15:54:41Z
has_accepted_license: '1'
keyword:
- Software Requirements
- Natural Language Processing
- Transfer Learning
- On-The-Fly Computing
language:
- iso: eng
page: 221--225
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND
APPLIED COMPUTING 2021
publisher: IADIS
status: public
title: 'IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING'
type: conference
user_id: '58701'
year: '2021'
...
---
_id: '22481'
abstract:
- lang: eng
text: During the industrial processing of materials for the manufacture of new products,
surface defects can quickly occur. In order to achieve high quality without a
long time delay, it makes sense to inspect the work pieces so that defective work
pieces can be sorted out right at the beginning of the process. At the same time,
the evaluation unit should come close the perception of the human eye regarding
detection of defects in surfaces. Such defects often manifest themselves by a
deviation of the existing structure. The only restriction should be that only
matt surfaces should be considered here. Therefore in this work, different classification
and image processing algorithms are applied to surface data to identify possible
surface damages. For this purpose, the Gabor filter and the FST (Fused Structure
and Texture) features generated with it, as well as the salience metric are used
on the image processing side. On the classification side, however, deep neural
networks, Convolutional Neural Networks (CNN), and autoencoders are used to make
a decision. A distinction is also made between training using class labels and
without. It turns out later that the salience metric are best performed by CNN.
On the other hand, if there is no labeled training data available, a novelty classification
can easily be achieved by using autoencoders as well as the salience metric and
some filters.
author:
- first_name: Tom
full_name: Sander, Tom
last_name: Sander
- first_name: Sven
full_name: Lange, Sven
id: '38240'
last_name: Lange
- first_name: Ulrich
full_name: Hilleringmann, Ulrich
last_name: Hilleringmann
- first_name: Volker
full_name: Geneis, Volker
last_name: Geneis
- first_name: Christian
full_name: Hedayat, Christian
last_name: Hedayat
- first_name: Harald
full_name: Kuhn, Harald
last_name: Kuhn
- first_name: Franz-Barthold
full_name: Gockel, Franz-Barthold
last_name: Gockel
citation:
ama: 'Sander T, Lange S, Hilleringmann U, et al. Detection of Defects on Irregular
Structured Surfaces by Image Processing Methods for Feature Extraction. In: 22nd
IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain
: IEEE; 2021. doi:10.1109/icit46573.2021.9453646'
apa: 'Sander, T., Lange, S., Hilleringmann, U., Geneis, V., Hedayat, C., Kuhn, H.,
& Gockel, F.-B. (2021). Detection of Defects on Irregular Structured Surfaces
by Image Processing Methods for Feature Extraction. In 22nd IEEE International
Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE. https://doi.org/10.1109/icit46573.2021.9453646'
bibtex: '@inproceedings{Sander_Lange_Hilleringmann_Geneis_Hedayat_Kuhn_Gockel_2021,
place={Valencia, Spain }, title={Detection of Defects on Irregular Structured
Surfaces by Image Processing Methods for Feature Extraction}, DOI={10.1109/icit46573.2021.9453646},
booktitle={22nd IEEE International Conference on Industrial Technology (ICIT)},
publisher={IEEE}, author={Sander, Tom and Lange, Sven and Hilleringmann, Ulrich
and Geneis, Volker and Hedayat, Christian and Kuhn, Harald and Gockel, Franz-Barthold},
year={2021} }'
chicago: 'Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneis, Christian
Hedayat, Harald Kuhn, and Franz-Barthold Gockel. “Detection of Defects on Irregular
Structured Surfaces by Image Processing Methods for Feature Extraction.” In 22nd
IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain
: IEEE, 2021. https://doi.org/10.1109/icit46573.2021.9453646.'
ieee: T. Sander et al., “Detection of Defects on Irregular Structured Surfaces
by Image Processing Methods for Feature Extraction,” in 22nd IEEE International
Conference on Industrial Technology (ICIT), Valencia, Spain , 2021.
mla: Sander, Tom, et al. “Detection of Defects on Irregular Structured Surfaces
by Image Processing Methods for Feature Extraction.” 22nd IEEE International
Conference on Industrial Technology (ICIT), IEEE, 2021, doi:10.1109/icit46573.2021.9453646.
short: 'T. Sander, S. Lange, U. Hilleringmann, V. Geneis, C. Hedayat, H. Kuhn, F.-B.
Gockel, in: 22nd IEEE International Conference on Industrial Technology (ICIT),
IEEE, Valencia, Spain , 2021.'
conference:
end_date: 2021-03-12
location: 'Valencia, Spain '
name: 22nd IEEE International Conference on Industrial Technology (ICIT)
start_date: 2021-03-10
date_created: 2021-06-20T23:32:11Z
date_updated: 2022-01-06T06:55:33Z
department:
- _id: '59'
- _id: '485'
doi: 10.1109/icit46573.2021.9453646
keyword:
- Image Processing
- Defect Detection
- wooden surfaces
- Machine Learning
- Neural Networks
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9453646
place: 'Valencia, Spain '
publication: 22nd IEEE International Conference on Industrial Technology (ICIT)
publication_identifier:
isbn:
- '9781728157306'
publication_status: published
publisher: IEEE
status: public
title: Detection of Defects on Irregular Structured Surfaces by Image Processing Methods
for Feature Extraction
type: conference
user_id: '38240'
year: '2021'
...
---
_id: '20212'
abstract:
- lang: eng
text: "Ideational impact refers to the uptake of a paper's ideas and concepts by
subsequent research. It is defined in stark contrast to total citation impact,
a measure predominantly used in research evaluation that assumes that all citations
are equal. Understanding ideational impact is critical for evaluating research
impact and understanding how scientific disciplines build a cumulative tradition.
Research has only recently developed automated citation classification techniques
to distinguish between different types of citations and generally does not emphasize
the conceptual content of the citations and its ideational impact. To address
this problem, we develop Deep Content-enriched Ideational Impact Classification
(Deep-CENIC) as the first automated approach for ideational impact classification
to support researchers' literature search practices. We evaluate Deep-CENIC on
1,256 papers citing 24 information systems review articles from the IT business
value domain. We show that Deep-CENIC significantly outperforms state-of-the-art
benchmark models. We contribute to information systems research by operationalizing
the concept of ideational impact, designing a recommender system for academic
papers based on deep learning techniques, and empirically exploring the ideational
impact of the IT business value domain.\r\n"
article_number: '113432'
author:
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Nik Rushdi
full_name: Hassan, Nik Rushdi
last_name: Hassan
citation:
ama: 'Prester J, Wagner G, Schryen G, Hassan NR. Classifying the Ideational Impact
of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.
Decision Support Systems. 2021;140(January).'
apa: 'Prester, J., Wagner, G., Schryen, G., & Hassan, N. R. (2021). Classifying
the Ideational Impact of Information Systems Review Articles: A Content-Enriched
Deep Learning Approach. Decision Support Systems, 140(January),
Article 113432.'
bibtex: '@article{Prester_Wagner_Schryen_Hassan_2021, title={Classifying the Ideational
Impact of Information Systems Review Articles: A Content-Enriched Deep Learning
Approach}, volume={140}, number={January113432}, journal={Decision Support Systems},
author={Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi},
year={2021} }'
chicago: 'Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying
the Ideational Impact of Information Systems Review Articles: A Content-Enriched
Deep Learning Approach.” Decision Support Systems 140, no. January (2021).'
ieee: 'J. Prester, G. Wagner, G. Schryen, and N. R. Hassan, “Classifying the Ideational
Impact of Information Systems Review Articles: A Content-Enriched Deep Learning
Approach,” Decision Support Systems, vol. 140, no. January, Art. no. 113432,
2021.'
mla: 'Prester, Julian, et al. “Classifying the Ideational Impact of Information
Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision
Support Systems, vol. 140, no. January, 113432, 2021.'
short: J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems
140 (2021).
date_created: 2020-10-27T13:28:21Z
date_updated: 2022-06-10T06:55:32Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-10-27T13:31:01Z
date_updated: 2020-10-27T13:31:01Z
file_id: '20213'
file_name: DECSUP-D-20-00312 - PREPUBLICATION.pdf
file_size: 440903
relation: main_file
file_date_updated: 2020-10-27T13:31:01Z
has_accepted_license: '1'
intvolume: ' 140'
issue: January
keyword:
- Ideational impact
- citation classification
- academic recommender systems
- natural language processing
- deep learning
- cumulative tradition
language:
- iso: eng
oa: '1'
publication: Decision Support Systems
status: public
title: 'Classifying the Ideational Impact of Information Systems Review Articles:
A Content-Enriched Deep Learning Approach'
type: journal_article
user_id: '72850'
volume: 140
year: '2021'
...
---
_id: '29204'
abstract:
- lang: eng
text: 'An analysis of an optical Nyquist pulse synthesizer using Mach-Zehnder modulators
is presented. The analysis allows to predict the upper limit of the effective
number of bits of this type of photonic digital-to-analog converter. The analytical
solution has been verified by means of electro-optic simulations. With this analysis
the limiting factor for certain scenarios: relative intensity noise, distortions
by driving the Mach-Zehnder modulator, or the signal generator phase noise can
quickly be identified.'
author:
- first_name: Christian
full_name: Kress, Christian
id: '13256'
last_name: Kress
- first_name: Meysam
full_name: Bahmanian, Meysam
id: '69233'
last_name: Bahmanian
- first_name: Tobias
full_name: Schwabe, Tobias
id: '39217'
last_name: Schwabe
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: https://orcid.org/0000-0002-5950-6618
citation:
ama: Kress C, Bahmanian M, Schwabe T, Scheytt JC. Analysis of the effects of jitter,
relative intensity noise, and nonlinearity on a photonic digital-to-analog converter
based on optical Nyquist pulse synthesis. Opt Express. 2021;29(15):23671–23681.
doi:10.1364/OE.427424
apa: Kress, C., Bahmanian, M., Schwabe, T., & Scheytt, J. C. (2021). Analysis
of the effects of jitter, relative intensity noise, and nonlinearity on a photonic
digital-to-analog converter based on optical Nyquist pulse synthesis. Opt.
Express, 29(15), 23671–23681. https://doi.org/10.1364/OE.427424
bibtex: '@article{Kress_Bahmanian_Schwabe_Scheytt_2021, title={Analysis of the effects
of jitter, relative intensity noise, and nonlinearity on a photonic digital-to-analog
converter based on optical Nyquist pulse synthesis}, volume={29}, DOI={10.1364/OE.427424},
number={15}, journal={Opt. Express}, publisher={OSA}, author={Kress, Christian
and Bahmanian, Meysam and Schwabe, Tobias and Scheytt, J. Christoph}, year={2021},
pages={23671–23681} }'
chicago: 'Kress, Christian, Meysam Bahmanian, Tobias Schwabe, and J. Christoph Scheytt.
“Analysis of the Effects of Jitter, Relative Intensity Noise, and Nonlinearity
on a Photonic Digital-to-Analog Converter Based on Optical Nyquist Pulse Synthesis.”
Opt. Express 29, no. 15 (2021): 23671–23681. https://doi.org/10.1364/OE.427424.'
ieee: 'C. Kress, M. Bahmanian, T. Schwabe, and J. C. Scheytt, “Analysis of the effects
of jitter, relative intensity noise, and nonlinearity on a photonic digital-to-analog
converter based on optical Nyquist pulse synthesis,” Opt. Express, vol.
29, no. 15, pp. 23671–23681, 2021, doi: 10.1364/OE.427424.'
mla: Kress, Christian, et al. “Analysis of the Effects of Jitter, Relative Intensity
Noise, and Nonlinearity on a Photonic Digital-to-Analog Converter Based on Optical
Nyquist Pulse Synthesis.” Opt. Express, vol. 29, no. 15, OSA, 2021, pp.
23671–23681, doi:10.1364/OE.427424.
short: C. Kress, M. Bahmanian, T. Schwabe, J.C. Scheytt, Opt. Express 29 (2021)
23671–23681.
date_created: 2022-01-10T11:51:47Z
date_updated: 2023-06-16T06:56:27Z
department:
- _id: '58'
- _id: '230'
doi: 10.1364/OE.427424
intvolume: ' 29'
issue: '15'
keyword:
- Analog to digital converters
- Diode lasers
- Laser sources
- Phase noise
- Signal processing
- Wavelength division multiplexers
language:
- iso: eng
page: 23671–23681
project:
- _id: '302'
grant_number: '403154102'
name: 'PONyDAC: PONyDAC II - Präziser Optischer Nyquist-Puls-Synthesizer DAC'
- _id: '299'
grant_number: 13N14882
name: 'NyPhE: NyPhE - Nyquist Silicon Photonics Engine'
publication: Opt. Express
publisher: OSA
related_material:
link:
- relation: confirmation
url: https://pubmed.ncbi.nlm.nih.gov/34614628/
status: public
title: Analysis of the effects of jitter, relative intensity noise, and nonlinearity
on a photonic digital-to-analog converter based on optical Nyquist pulse synthesis
type: journal_article
user_id: '13256'
volume: 29
year: '2021'
...
---
_id: '18686'
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
citation:
ama: 'Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED
APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING
2020. IADIS; 2020:119--123.'
apa: 'Kersting, J., & Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020, 119--123.'
bibtex: '@inproceedings{Kersting_Bäumer_2020, title={SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}, booktitle={PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020}, publisher={IADIS}, author={Kersting, Joschka
and Bäumer, Frederik Simon}, year={2020}, pages={119--123} }'
chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.'
ieee: 'J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS:
A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE
ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.'
mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT
DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” PROCEEDINGS OF THE INTERNATIONAL
CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.'
short: 'J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE
ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.'
conference:
end_date: 20.11.2020
location: Lisbon, Portugal
name: 17th International Conference on Applied Computing
start_date: 18.11.2020
date_created: 2020-08-31T10:59:54Z
date_updated: 2022-01-06T06:53:51Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-11-19T17:29:03Z
date_updated: 2020-11-19T17:29:03Z
file_id: '20443'
file_name: Kersting & Bäumer (2020), Kersting2020d.pdf
file_size: 1064877
relation: main_file
success: 1
file_date_updated: 2020-11-19T17:29:03Z
has_accepted_license: '1'
keyword:
- Software Requirements
- Natural Language Processing
- Transfer Learning
- On-The-Fly Computing
language:
- iso: eng
page: 119--123
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020
publisher: IADIS
status: public
title: 'SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH'
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15580'
abstract:
- lang: eng
text: This paper deals with aspect phrase extraction and classification in sentiment
analysis. We summarize current approaches and datasets from the domain of aspect-based
sentiment analysis. This domain detects sentiments expressed for individual aspects
in unstructured text data. So far, mainly commercial user reviews for products
or services such as restaurants were investigated. We here present our dataset
consisting of German physician reviews, a sensitive and linguistically complex
field. Furthermore, we describe the annotation process of a dataset for supervised
learning with neural networks. Moreover, we introduce our model for extracting
and classifying aspect phrases in one step, which obtains an F1-score of 80%.
By applying it to a more complex domain, our approach and results outperform previous
approaches.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with
Deep Learning. In: Proceedings of the 12th International Conference on Agents
and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language
Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS;
2020:391--400.'
apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning. In Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400).
Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect
Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings
of the 12th International Conference on Agents and Artificial Intelligence (ICAART
2020) -- Special Session on Natural Language Processing in Artificial Intelligence
(NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos,
Michaela}, year={2020}, pages={391--400} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in
Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International
Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session
on Natural Language Processing in Artificial Intelligence (NLPinAI 2020),
391--400. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis
with Deep Learning,” in Proceedings of the 12th International Conference on
Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta,
2020, pp. 391--400.
mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning.” Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS,
2020, pp. 391--400.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal,
Portugal, 2020, pp. 391--400.'
conference:
location: Valetta, Malta
name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special
Session on Natural Language Processing in Artificial Intelligence (NLPinAI)
date_created: 2020-01-15T08:35:07Z
date_updated: 2022-01-06T06:52:29Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:00Z
date_updated: 2020-09-18T09:27:00Z
file_id: '19576'
file_name: Kersting & Geierhos (2020), Kersting2020.pdf
file_size: 421780
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:00Z
has_accepted_license: '1'
keyword:
- Deep Learning
- Natural Language Processing
- Aspect-based Sentiment Analysis
language:
- iso: eng
page: 391--400
place: Setúbal, Portugal
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 12th International Conference on Agents and Artificial
Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in
Artificial Intelligence (NLPinAI 2020)
publisher: SCITEPRESS
status: public
title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '20504'
abstract:
- lang: eng
text: 'In recent years time domain speech separation has excelled over frequency
domain separation in single channel scenarios and noise-free environments. In
this paper we dissect the gains of the time-domain audio separation network (TasNet)
approach by gradually replacing components of an utterance-level permutation invariant
training (u-PIT) based separation system in the frequency domain until the TasNet
system is reached, thus blending components of frequency domain approaches with
those of time domain approaches. Some of the intermediate variants achieve comparable
signal-to-distortion ratio (SDR) gains to TasNet, but retain the advantage of
frequency domain processing: compatibility with classic signal processing tools
such as frequency-domain beamforming and the human interpretability of the masks.
Furthermore, we show that the scale invariant signal-to-distortion ratio (si-SDR)
criterion used as loss function in TasNet is related to a logarithmic mean square
error criterion and that it is this criterion which contributes most reliable
to the performance advantage of TasNet. Finally, we critically assess which gains
in a noise-free single channel environment generalize to more realistic reverberant
conditions.'
author:
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Darius
full_name: Jakobeit, Darius
last_name: Jakobeit
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Lukas
full_name: Drude, Lukas
last_name: Drude
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heitkaemper J, Jakobeit D, Boeddeker C, Drude L, Haeb-Umbach R. Demystifying
TasNet: A Dissecting Approach. In: ICASSP 2020 Virtual Barcelona Spain.
; 2020.'
apa: 'Heitkaemper, J., Jakobeit, D., Boeddeker, C., Drude, L., & Haeb-Umbach,
R. (2020). Demystifying TasNet: A Dissecting Approach. ICASSP 2020 Virtual
Barcelona Spain.'
bibtex: '@inproceedings{Heitkaemper_Jakobeit_Boeddeker_Drude_Haeb-Umbach_2020, title={Demystifying
TasNet: A Dissecting Approach}, booktitle={ICASSP 2020 Virtual Barcelona Spain},
author={Heitkaemper, Jens and Jakobeit, Darius and Boeddeker, Christoph and Drude,
Lukas and Haeb-Umbach, Reinhold}, year={2020} }'
chicago: 'Heitkaemper, Jens, Darius Jakobeit, Christoph Boeddeker, Lukas Drude,
and Reinhold Haeb-Umbach. “Demystifying TasNet: A Dissecting Approach.” In ICASSP
2020 Virtual Barcelona Spain, 2020.'
ieee: 'J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, and R. Haeb-Umbach,
“Demystifying TasNet: A Dissecting Approach,” 2020.'
mla: 'Heitkaemper, Jens, et al. “Demystifying TasNet: A Dissecting Approach.” ICASSP
2020 Virtual Barcelona Spain, 2020.'
short: 'J. Heitkaemper, D. Jakobeit, C. Boeddeker, L. Drude, R. Haeb-Umbach, in:
ICASSP 2020 Virtual Barcelona Spain, 2020.'
date_created: 2020-11-25T14:56:53Z
date_updated: 2022-01-13T08:47:32Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: closed
content_type: application/pdf
creator: jensheit
date_created: 2020-12-11T12:36:37Z
date_updated: 2020-12-11T12:36:37Z
file_id: '20699'
file_name: ms.pdf
file_size: 3871374
relation: main_file
success: 1
file_date_updated: 2020-12-11T12:36:37Z
has_accepted_license: '1'
keyword:
- voice activity detection
- speech activity detection
- neural network
- statistical speech processing
language:
- iso: eng
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: ICASSP 2020 Virtual Barcelona Spain
quality_controlled: '1'
status: public
title: 'Demystifying TasNet: A Dissecting Approach'
type: conference
user_id: '40767'
year: '2020'
...
---
_id: '20505'
abstract:
- lang: eng
text: "Speech activity detection (SAD), which often rests on the fact that the noise
is \"more'' stationary than speech, is particularly challenging in non-stationary
environments, because the time variance of the acoustic scene makes it difficult
to discriminate speech from noise. We propose two approaches to SAD, where one
is based on statistical signal processing, while the other utilizes neural networks.
The former employs sophisticated signal processing to track the noise and speech
energies and is meant to support the case for a resource efficient, unsupervised
signal processing approach.\r\nThe latter introduces a recurrent network layer
that operates on short segments of the input speech to do temporal smoothing in
the presence of non-stationary noise. The systems are tested on the Fearless Steps
challenge database, which consists of the transmission data from the Apollo-11
space mission.\r\nThe statistical SAD achieves comparable detection performance
to earlier proposed neural network based SADs, while the neural network based
approach leads to a decision cost function of 1.07% on the evaluation set of the
2020 Fearless Steps Challenge, which sets a new state of the art."
author:
- first_name: Jens
full_name: Heitkaemper, Jens
id: '27643'
last_name: Heitkaemper
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Statistical and Neural Network
Based Speech Activity Detection in Non-Stationary Acoustic Environments. In: INTERSPEECH
2020 Virtual Shanghai China. ; 2020.'
apa: Heitkaemper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (2020). Statistical
and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic
Environments. INTERSPEECH 2020 Virtual Shanghai China.
bibtex: '@inproceedings{Heitkaemper_Schmalenstroeer_Haeb-Umbach_2020, title={Statistical
and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic
Environments}, booktitle={INTERSPEECH 2020 Virtual Shanghai China}, author={Heitkaemper,
Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2020} }'
chicago: Heitkaemper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Statistical
and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic
Environments.” In INTERSPEECH 2020 Virtual Shanghai China, 2020.
ieee: J. Heitkaemper, J. Schmalenstroeer, and R. Haeb-Umbach, “Statistical and Neural
Network Based Speech Activity Detection in Non-Stationary Acoustic Environments,”
2020.
mla: Heitkaemper, Jens, et al. “Statistical and Neural Network Based Speech Activity
Detection in Non-Stationary Acoustic Environments.” INTERSPEECH 2020 Virtual
Shanghai China, 2020.
short: 'J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: INTERSPEECH 2020
Virtual Shanghai China, 2020.'
date_created: 2020-11-25T15:03:19Z
date_updated: 2023-10-26T08:28:49Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: closed
content_type: application/pdf
creator: jensheit
date_created: 2020-12-11T12:33:04Z
date_updated: 2020-12-11T12:33:04Z
file_id: '20697'
file_name: ms.pdf
file_size: 998706
relation: main_file
success: 1
file_date_updated: 2020-12-11T12:33:04Z
has_accepted_license: '1'
keyword:
- voice activity detection
- speech activity detection
- neural network
- statistical speech processing
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: INTERSPEECH 2020 Virtual Shanghai China
status: public
title: Statistical and Neural Network Based Speech Activity Detection in Non-Stationary
Acoustic Environments
type: conference
user_id: '460'
year: '2020'
...
---
_id: '8312'
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: Encyclopedia.Pub.
Basel, Switzerland: MDPI; 2019.'
apa: 'Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing.
In encyclopedia.pub. Basel, Switzerland: MDPI.'
bibtex: '@inbook{Bäumer_Geierhos_2019, place={Basel, Switzerland}, title={Requirements
Engineering in OTF-Computing}, booktitle={encyclopedia.pub}, publisher={MDPI},
author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2019} }'
chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering
in OTF-Computing.” In Encyclopedia.Pub. Basel, Switzerland: MDPI, 2019.'
ieee: 'F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,”
in encyclopedia.pub, Basel, Switzerland: MDPI, 2019.'
mla: Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in
OTF-Computing.” Encyclopedia.Pub, MDPI, 2019.
short: 'F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland,
2019.'
date_created: 2019-03-05T08:54:37Z
date_updated: 2022-01-06T07:03:53Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
keyword:
- OTF Computing
- Natural Language Processing
- Requirements Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://encyclopedia.pub/131
oa: '1'
place: Basel, Switzerland
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: encyclopedia.pub
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Requirements Engineering in OTF-Computing
type: encyclopedia_article
user_id: '42496'
year: '2019'
...
---
_id: '11950'
abstract:
- lang: eng
text: Advances in electromyographic (EMG) sensor technology and machine learning
algorithms have led to an increased research effort into high density EMG-based
pattern recognition methods for prosthesis control. With the goal set on an autonomous
multi-movement prosthesis capable of performing training and classification of
an amputee’s EMG signals, the focus of this paper lies in the acceleration of
the embedded signal processing chain. We present two Xilinx Zynq-based architectures
for accelerating two inherently different high density EMG-based control algorithms.
The first hardware accelerated design achieves speed-ups of up to 4.8 over the
software-only solution, allowing for a processing delay lower than the sample
period of 1 ms. The second system achieved a speed-up of 5.5 over the software-only
version and operates at a still satisfactory low processing delay of up to 15
ms while providing a higher reliability and robustness against electrode shift
and noisy channels.
author:
- first_name: Alexander
full_name: Boschmann, Alexander
last_name: Boschmann
- first_name: Andreas
full_name: Agne, Andreas
last_name: Agne
- first_name: Georg
full_name: Thombansen, Georg
last_name: Thombansen
- first_name: Linus Matthias
full_name: Witschen, Linus Matthias
id: '49051'
last_name: Witschen
- first_name: Florian
full_name: Kraus, Florian
last_name: Kraus
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: Boschmann A, Agne A, Thombansen G, Witschen LM, Kraus F, Platzner M. Zynq-based
acceleration of robust high density myoelectric signal processing. Journal
of Parallel and Distributed Computing. 2019;123:77-89. doi:10.1016/j.jpdc.2018.07.004
apa: Boschmann, A., Agne, A., Thombansen, G., Witschen, L. M., Kraus, F., &
Platzner, M. (2019). Zynq-based acceleration of robust high density myoelectric
signal processing. Journal of Parallel and Distributed Computing, 123,
77–89. https://doi.org/10.1016/j.jpdc.2018.07.004
bibtex: '@article{Boschmann_Agne_Thombansen_Witschen_Kraus_Platzner_2019, title={Zynq-based
acceleration of robust high density myoelectric signal processing}, volume={123},
DOI={10.1016/j.jpdc.2018.07.004},
journal={Journal of Parallel and Distributed Computing}, publisher={Elsevier},
author={Boschmann, Alexander and Agne, Andreas and Thombansen, Georg and Witschen,
Linus Matthias and Kraus, Florian and Platzner, Marco}, year={2019}, pages={77–89}
}'
chicago: 'Boschmann, Alexander, Andreas Agne, Georg Thombansen, Linus Matthias Witschen,
Florian Kraus, and Marco Platzner. “Zynq-Based Acceleration of Robust High Density
Myoelectric Signal Processing.” Journal of Parallel and Distributed Computing
123 (2019): 77–89. https://doi.org/10.1016/j.jpdc.2018.07.004.'
ieee: A. Boschmann, A. Agne, G. Thombansen, L. M. Witschen, F. Kraus, and M. Platzner,
“Zynq-based acceleration of robust high density myoelectric signal processing,”
Journal of Parallel and Distributed Computing, vol. 123, pp. 77–89, 2019.
mla: Boschmann, Alexander, et al. “Zynq-Based Acceleration of Robust High Density
Myoelectric Signal Processing.” Journal of Parallel and Distributed Computing,
vol. 123, Elsevier, 2019, pp. 77–89, doi:10.1016/j.jpdc.2018.07.004.
short: A. Boschmann, A. Agne, G. Thombansen, L.M. Witschen, F. Kraus, M. Platzner,
Journal of Parallel and Distributed Computing 123 (2019) 77–89.
date_created: 2019-07-12T13:13:55Z
date_updated: 2022-01-06T06:51:13Z
department:
- _id: '78'
doi: 10.1016/j.jpdc.2018.07.004
intvolume: ' 123'
keyword:
- High density electromyography
- FPGA acceleration
- Medical signal processing
- Pattern recognition
- Prosthetics
language:
- iso: eng
page: 77-89
publication: Journal of Parallel and Distributed Computing
publication_identifier:
issn:
- 0743-7315
publication_status: published
publisher: Elsevier
status: public
title: Zynq-based acceleration of robust high density myoelectric signal processing
type: journal_article
user_id: '398'
volume: 123
year: '2019'
...
---
_id: '2331'
abstract:
- lang: eng
text: A user generally writes software requirements in ambiguous and incomplete
form by using natural language; therefore, a software developer may have difficulty
in clearly understanding what the meanings are. To solve this problem with automation,
we propose a classifier for semantic annotation with manually pre-defined semantic
categories. To improve our classifier, we carefully designed syntactic features
extracted by constituency and dependency parsers. Even with a small dataset and
a large number of classes, our proposed classifier records an accuracy of 0.75,
which outperforms the previous model, REaCT.
article_type: original
author:
- first_name: 'Yeongsu '
full_name: 'Kim, Yeongsu '
last_name: Kim
- first_name: Seungwoo
full_name: Lee, Seungwoo
last_name: Lee
- first_name: Markus
full_name: Dollmann, Markus
id: '27578'
last_name: Dollmann
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation
of Software Requirements with Elaborate Syntactic Structure. International
Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12
apa: Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers
for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.
International Journal of Advanced Science and Technology, 112, 123–136.
https://doi.org/10.14257/ijast.2018.112.12
bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for
Semantic Annotation of Software Requirements with Elaborate Syntactic Structure},
volume={112}, DOI={10.14257/ijast.2018.112.12},
journal={International Journal of Advanced Science and Technology}, publisher={SERSC
Australia}, author={Kim, Yeongsu and Lee, Seungwoo and Dollmann, Markus and Geierhos,
Michaela}, year={2018}, pages={123–136} }'
chicago: 'Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving
Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic
Structure.” International Journal of Advanced Science and Technology 112
(2018): 123–36. https://doi.org/10.14257/ijast.2018.112.12.'
ieee: Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic
Annotation of Software Requirements with Elaborate Syntactic Structure,” International
Journal of Advanced Science and Technology, vol. 112, pp. 123–136, 2018.
mla: Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software
Requirements with Elaborate Syntactic Structure.” International Journal of
Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36,
doi:10.14257/ijast.2018.112.12.
short: Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced
Science and Technology 112 (2018) 123–136.
date_created: 2018-04-13T09:19:22Z
date_updated: 2022-01-06T06:55:49Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.14257/ijast.2018.112.12
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T15:16:29Z
date_updated: 2018-11-02T15:16:29Z
file_id: '5297'
file_name: 12.pdf
file_size: 586968
relation: main_file
success: 1
file_date_updated: 2018-11-02T15:16:29Z
has_accepted_license: '1'
intvolume: ' 112'
keyword:
- Software Engineering
- Natural Language Processing
- Semantic Annotation
- Machine Learning
- Feature Engineering
- Syntactic Structure
language:
- iso: eng
page: 123-136
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: International Journal of Advanced Science and Technology
publication_identifier:
eissn:
- 2207-6360
issn:
- 2005-4238
publication_status: published
publisher: SERSC Australia
quality_controlled: '1'
status: public
title: Improving Classifiers for Semantic Annotation of Software Requirements with
Elaborate Syntactic Structure
type: journal_article
user_id: '477'
volume: 112
year: '2018'
...