---
_id: '1620'
author:
- first_name: Ismet
full_name: Aktas, Ismet
last_name: Aktas
- first_name: Junaid
full_name: Ansari, Junaid
last_name: Ansari
- first_name: Sebastien
full_name: Auroux, Sebastien
last_name: Auroux
- first_name: Donald
full_name: Parruca, Donald
last_name: Parruca
- first_name: Maria Dolores
full_name: Perez Guirao, Maria Dolores
last_name: Perez Guirao
- first_name: Bernd
full_name: Holfeld, Bernd
last_name: Holfeld
citation:
ama: 'Aktas I, Ansari J, Auroux S, Parruca D, Perez Guirao MD, Holfeld B. A Coordination
Architecture for Wireless Industrial Automation. In: Proceedings of 23th European
Wireless Conference; 2017.'
apa: Aktas, I., Ansari, J., Auroux, S., Parruca, D., Perez Guirao, M. D., &
Holfeld, B. (2017). A Coordination Architecture for Wireless Industrial Automation.
Presented at the European Wireless 2017, Proceedings of 23th European Wireless
Conference.
bibtex: '@inproceedings{Aktas_Ansari_Auroux_Parruca_Perez Guirao_Holfeld_2017, title={A
Coordination Architecture for Wireless Industrial Automation}, publisher={Proceedings
of 23th European Wireless Conference}, author={Aktas, Ismet and Ansari, Junaid
and Auroux, Sebastien and Parruca, Donald and Perez Guirao, Maria Dolores and
Holfeld, Bernd}, year={2017} }'
chicago: Aktas, Ismet, Junaid Ansari, Sebastien Auroux, Donald Parruca, Maria Dolores
Perez Guirao, and Bernd Holfeld. “A Coordination Architecture for Wireless Industrial
Automation.” Proceedings of 23th European Wireless Conference, 2017.
ieee: I. Aktas, J. Ansari, S. Auroux, D. Parruca, M. D. Perez Guirao, and B. Holfeld,
“A Coordination Architecture for Wireless Industrial Automation,” presented at
the European Wireless 2017, 2017.
mla: Aktas, Ismet, et al. A Coordination Architecture for Wireless Industrial
Automation. Proceedings of 23th European Wireless Conference, 2017.
short: 'I. Aktas, J. Ansari, S. Auroux, D. Parruca, M.D. Perez Guirao, B. Holfeld,
in: Proceedings of 23th European Wireless Conference, 2017.'
conference:
name: European Wireless 2017
date_created: 2018-03-22T12:56:33Z
date_updated: 2022-01-06T06:52:45Z
department:
- _id: '75'
project:
- _id: '29'
name: 'Verbundprojekt: Koordinierte Industriekommunikation - Latenzarme und verlässliche
Industriekommunikation - Teilvorhaben: Verteilte Koordination'
publisher: Proceedings of 23th European Wireless Conference
related_material:
link:
- relation: confirmation
url: http://ieeexplore.ieee.org/document/8011339/
status: public
title: A Coordination Architecture for Wireless Industrial Automation
type: conference
user_id: '15572'
year: '2017'
...
---
_id: '16338'
abstract:
- lang: eng
text: To detect errors or find potential for improvement during the CAD-supported
development of a complex technical system like modern industrial machines, the
system’s virtual prototype can be examined in virtual reality (VR) in the context
of virtual design reviews. Besides exploring the static shape of the examined
system, observing the machines’ mechanics (e.g., motor-driven mechanisms) and
transport routes for the material transport (e.g., via conveyor belts or chains,
or rail-based transport systems) can play an equally important role in such a
review. In practice it is often the case, that the relevant information about
transport routes, or kinematic properties is either not consequently modeled in
the CAD data or is lost during conversion processes. To significantly reduce the
manual effort and costs for creating animations of the machines complex behavior
with such limited input data for a design review, we present a set of algorithms
to automatically determine geometrical properties of machine parts based only
on their triangulated surfaces. The algorithms allow to detect the course of transport
systems, the orientation of objects in 3d space, rotation axes of cylindrical
objects and holes, the number of tooth of gears, as well as the tooth spacing
of toothed racks. We implemented the algorithms in the VR system PADrend and applied
them to animate virtual prototypes of real machines.
author:
- first_name: Sascha
full_name: Brandt, Sascha
id: '11648'
last_name: Brandt
orcid: https://orcid.org/0000-0003-3546-203X
- first_name: Matthias
full_name: Fischer, Matthias
id: '146'
last_name: Fischer
- first_name: Maria
full_name: Gerges, Maria
last_name: Gerges
- first_name: Claudius
full_name: Jähn, Claudius
last_name: Jähn
- first_name: Jan
full_name: Berssenbrügge, Jan
last_name: Berssenbrügge
citation:
ama: 'Brandt S, Fischer M, Gerges M, Jähn C, Berssenbrügge J. Automatic Derivation
of Geometric Properties of Components From 3D Polygon Models. In: Volume 1:
37th Computers and Information in Engineering Conference. Vol 1. ; 2017:91:1-91:10.
doi:10.1115/detc2017-67528'
apa: 'Brandt, S., Fischer, M., Gerges, M., Jähn, C., & Berssenbrügge, J. (2017).
Automatic Derivation of Geometric Properties of Components From 3D Polygon Models.
In Volume 1: 37th Computers and Information in Engineering Conference (Vol.
1, pp. 91:1-91:10). Cleveland, USA. https://doi.org/10.1115/detc2017-67528'
bibtex: '@inproceedings{Brandt_Fischer_Gerges_Jähn_Berssenbrügge_2017, title={Automatic
Derivation of Geometric Properties of Components From 3D Polygon Models}, volume={1},
DOI={10.1115/detc2017-67528},
booktitle={Volume 1: 37th Computers and Information in Engineering Conference},
author={Brandt, Sascha and Fischer, Matthias and Gerges, Maria and Jähn, Claudius
and Berssenbrügge, Jan}, year={2017}, pages={91:1-91:10} }'
chicago: 'Brandt, Sascha, Matthias Fischer, Maria Gerges, Claudius Jähn, and Jan
Berssenbrügge. “Automatic Derivation of Geometric Properties of Components From
3D Polygon Models.” In Volume 1: 37th Computers and Information in Engineering
Conference, 1:91:1-91:10, 2017. https://doi.org/10.1115/detc2017-67528.'
ieee: 'S. Brandt, M. Fischer, M. Gerges, C. Jähn, and J. Berssenbrügge, “Automatic
Derivation of Geometric Properties of Components From 3D Polygon Models,” in Volume
1: 37th Computers and Information in Engineering Conference, Cleveland, USA,
2017, vol. 1, pp. 91:1-91:10.'
mla: 'Brandt, Sascha, et al. “Automatic Derivation of Geometric Properties of Components
From 3D Polygon Models.” Volume 1: 37th Computers and Information in Engineering
Conference, vol. 1, 2017, pp. 91:1-91:10, doi:10.1115/detc2017-67528.'
short: 'S. Brandt, M. Fischer, M. Gerges, C. Jähn, J. Berssenbrügge, in: Volume
1: 37th Computers and Information in Engineering Conference, 2017, pp. 91:1-91:10.'
conference:
end_date: 2017-08-09
location: Cleveland, USA
name: 37th Computers and Information in Engineering Conference
start_date: 2017-08-06
date_created: 2020-03-24T08:36:05Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '63'
doi: 10.1115/detc2017-67528
intvolume: ' 1'
language:
- iso: eng
page: 91:1-91:10
publication: 'Volume 1: 37th Computers and Information in Engineering Conference'
publication_identifier:
isbn:
- '9780791858110'
publication_status: published
status: public
title: Automatic Derivation of Geometric Properties of Components From 3D Polygon
Models
type: conference
user_id: '15415'
volume: 1
year: '2017'
...
---
_id: '16339'
abstract:
- lang: ger
text: In der CAD-unterstützten Entwicklung von technischen Systemen (Maschinen,
Anlagen etc.) werden virtuelle Prototypen im Rahmen eines virtuellen Design-Reviews
mit Hilfe eines VR-Systems gesamtheitlich betrachtet, um frühzeitig Fehler und
Verbesserungsbedarf zu erkennen. Ein wichtiger Untersuchungsgegenstand ist dabei
die Analyse von Transportwegen für den Materialtransport mittels Fließbändern,
Förderketten oder schienenbasierten Transportsystemen. Diese Transportwege werden
im VR-System animiert. Problematisch dabei ist, dass derartige Transportsysteme
im zugrundeliegenden CAD-Modell in der Praxis oft nicht modelliert und nur exemplarisch
angedeutet werden, da diese für die Konstruktion nicht relevant sind (z.B. der
Fördergurt eines Förderbandes, oder die Kette einer Förderkette), oder die Informationen
über den Verlauf bei der Konvertierung der Daten in das VR-System verloren gehen.
Bei der Animation dieser Transportsysteme in einem VR-System muss der Transportweg
also aufwändig, manuell nachgearbeitet werden. Das Ziel dieser Arbeit ist die
Reduzierung des notwendigen manuellen Nachbearbeitungsaufwandes für das Design-Review
durch eine automatische Berechnung der Animationspfade entlang eines Transportsystems.
Es wird ein Algorithmus vorgestellt, der es ermöglicht mit nur geringem zeitlichem
Benutzeraufwand den Animationspfad aus den reinen polygonalen dreidimensionalen
Daten eines Transportsystems automatisch zu rekonstruieren.
author:
- first_name: Sascha
full_name: Brandt, Sascha
id: '11648'
last_name: Brandt
orcid: https://orcid.org/0000-0003-3546-203X
- first_name: Matthias
full_name: Fischer, Matthias
id: '146'
last_name: Fischer
citation:
ama: 'Brandt S, Fischer M. Automatische Ableitung der Transportwege von Transportsystemen
aus dem 3D-Polygonmodell. In: Wissenschaftsforum Intelligente Technische Systeme
(WInTeSys) 2017. Vol 369. Paderborn: Verlagsschriftenreihe des Heinz Nixdorf
Instituts, Paderborn; 2017:415-427.'
apa: 'Brandt, S., & Fischer, M. (2017). Automatische Ableitung der Transportwege
von Transportsystemen aus dem 3D-Polygonmodell. In Wissenschaftsforum Intelligente
Technische Systeme (WInTeSys) 2017 (Vol. 369, pp. 415–427). Paderborn: Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn.'
bibtex: '@inproceedings{Brandt_Fischer_2017, place={Paderborn}, title={Automatische
Ableitung der Transportwege von Transportsystemen aus dem 3D-Polygonmodell}, volume={369},
booktitle={Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017},
publisher={Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}, author={Brandt,
Sascha and Fischer, Matthias}, year={2017}, pages={415–427} }'
chicago: 'Brandt, Sascha, and Matthias Fischer. “Automatische Ableitung der Transportwege
von Transportsystemen aus dem 3D-Polygonmodell.” In Wissenschaftsforum Intelligente
Technische Systeme (WInTeSys) 2017, 369:415–27. Paderborn: Verlagsschriftenreihe
des Heinz Nixdorf Instituts, Paderborn, 2017.'
ieee: S. Brandt and M. Fischer, “Automatische Ableitung der Transportwege von Transportsystemen
aus dem 3D-Polygonmodell,” in Wissenschaftsforum Intelligente Technische Systeme
(WInTeSys) 2017, Paderborn, 2017, vol. 369, pp. 415–427.
mla: Brandt, Sascha, and Matthias Fischer. “Automatische Ableitung der Transportwege
von Transportsystemen aus dem 3D-Polygonmodell.” Wissenschaftsforum Intelligente
Technische Systeme (WInTeSys) 2017, vol. 369, Verlagsschriftenreihe des Heinz
Nixdorf Instituts, Paderborn, 2017, pp. 415–27.
short: 'S. Brandt, M. Fischer, in: Wissenschaftsforum Intelligente Technische Systeme
(WInTeSys) 2017, Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn,
Paderborn, 2017, pp. 415–427.'
conference:
end_date: 2017-05-12
location: Paderborn
name: Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017
start_date: 2017-05-11
date_created: 2020-03-24T08:44:25Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '63'
intvolume: ' 369'
language:
- iso: ger
page: 415-427
place: Paderborn
publication: Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017
publication_status: published
publisher: Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn
status: public
title: Automatische Ableitung der Transportwege von Transportsystemen aus dem 3D-Polygonmodell
type: conference
user_id: '11648'
volume: 369
year: '2017'
...
---
_id: '16347'
author:
- first_name: Matthias
full_name: Fischer, Matthias
id: '146'
last_name: Fischer
- first_name: Daniel
full_name: Jung, Daniel
id: '37827'
last_name: Jung
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
citation:
ama: 'Fischer M, Jung D, Meyer auf der Heide F. Gathering Anonymous, Oblivious Robots
on a Grid. In: Fernández Anta A, Jurdzinski T, Mosteiro MA, Zhang Y, eds. Algorithms
for Sensor Systems - 13th International Symposium on Algorithms and Experiments
for Wireless Sensor Networks, {ALGOSENSORS}. Vol 10718. Lecture Notes in Computer
Science. Vienna, Austria: Springer; 2017:168-181. doi:10.1007/978-3-319-72751-6_13'
apa: 'Fischer, M., Jung, D., & Meyer auf der Heide, F. (2017). Gathering Anonymous,
Oblivious Robots on a Grid. In A. Fernández Anta, T. Jurdzinski, M. A. Mosteiro,
& Y. Zhang (Eds.), Algorithms for Sensor Systems - 13th International Symposium
on Algorithms and Experiments for Wireless Sensor Networks, {ALGOSENSORS}
(Vol. 10718, pp. 168–181). Vienna, Austria: Springer. https://doi.org/10.1007/978-3-319-72751-6_13'
bibtex: '@inproceedings{Fischer_Jung_Meyer auf der Heide_2017, place={Vienna, Austria},
series={Lecture Notes in Computer Science}, title={Gathering Anonymous, Oblivious
Robots on a Grid}, volume={10718}, DOI={10.1007/978-3-319-72751-6_13},
booktitle={Algorithms for Sensor Systems - 13th International Symposium on Algorithms
and Experiments for Wireless Sensor Networks, {ALGOSENSORS}}, publisher={Springer},
author={Fischer, Matthias and Jung, Daniel and Meyer auf der Heide, Friedhelm},
editor={Fernández Anta, Antonio and Jurdzinski, Tomasz and Mosteiro, Miguel A.
and Zhang, YanyongEditors}, year={2017}, pages={168–181}, collection={Lecture
Notes in Computer Science} }'
chicago: 'Fischer, Matthias, Daniel Jung, and Friedhelm Meyer auf der Heide. “Gathering
Anonymous, Oblivious Robots on a Grid.” In Algorithms for Sensor Systems -
13th International Symposium on Algorithms and Experiments for Wireless Sensor
Networks, {ALGOSENSORS}, edited by Antonio Fernández Anta, Tomasz Jurdzinski,
Miguel A. Mosteiro, and Yanyong Zhang, 10718:168–81. Lecture Notes in Computer
Science. Vienna, Austria: Springer, 2017. https://doi.org/10.1007/978-3-319-72751-6_13.'
ieee: M. Fischer, D. Jung, and F. Meyer auf der Heide, “Gathering Anonymous, Oblivious
Robots on a Grid,” in Algorithms for Sensor Systems - 13th International Symposium
on Algorithms and Experiments for Wireless Sensor Networks, {ALGOSENSORS},
2017, vol. 10718, pp. 168–181.
mla: Fischer, Matthias, et al. “Gathering Anonymous, Oblivious Robots on a Grid.”
Algorithms for Sensor Systems - 13th International Symposium on Algorithms
and Experiments for Wireless Sensor Networks, {ALGOSENSORS}, edited by Antonio
Fernández Anta et al., vol. 10718, Springer, 2017, pp. 168–81, doi:10.1007/978-3-319-72751-6_13.
short: 'M. Fischer, D. Jung, F. Meyer auf der Heide, in: A. Fernández Anta, T. Jurdzinski,
M.A. Mosteiro, Y. Zhang (Eds.), Algorithms for Sensor Systems - 13th International
Symposium on Algorithms and Experiments for Wireless Sensor Networks, {ALGOSENSORS},
Springer, Vienna, Austria, 2017, pp. 168–181.'
date_created: 2020-03-27T14:32:39Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '63'
doi: 10.1007/978-3-319-72751-6_13
editor:
- first_name: Antonio
full_name: Fernández Anta, Antonio
last_name: Fernández Anta
- first_name: Tomasz
full_name: Jurdzinski, Tomasz
last_name: Jurdzinski
- first_name: Miguel A.
full_name: Mosteiro, Miguel A.
last_name: Mosteiro
- first_name: Yanyong
full_name: Zhang, Yanyong
last_name: Zhang
intvolume: ' 10718'
language:
- iso: eng
page: 168-181
place: Vienna, Austria
publication: Algorithms for Sensor Systems - 13th International Symposium on Algorithms
and Experiments for Wireless Sensor Networks, {ALGOSENSORS}
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Gathering Anonymous, Oblivious Robots on a Grid
type: conference
user_id: '15415'
volume: 10718
year: '2017'
...
---
_id: '16348'
author:
- first_name: Felix
full_name: Biermeier, Felix
last_name: Biermeier
- first_name: Björn
full_name: Feldkord, Björn
id: '22704'
last_name: Feldkord
- first_name: Manuel
full_name: Malatyali, Manuel
last_name: Malatyali
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
citation:
ama: 'Biermeier F, Feldkord B, Malatyali M, Meyer auf der Heide F. A Communication-Efficient
Distributed Data Structure for Top-k and k-Select Queries. In: Proceedings
of the 15th Workshop on Approximation and Online Algorithms (WAOA). Springer;
2017:285-300. doi:10.1007/978-3-319-89441-6_21'
apa: Biermeier, F., Feldkord, B., Malatyali, M., & Meyer auf der Heide, F. (2017).
A Communication-Efficient Distributed Data Structure for Top-k and k-Select Queries.
In Proceedings of the 15th Workshop on Approximation and Online Algorithms
(WAOA) (pp. 285–300). Springer. https://doi.org/10.1007/978-3-319-89441-6_21
bibtex: '@inproceedings{Biermeier_Feldkord_Malatyali_Meyer auf der Heide_2017, title={A
Communication-Efficient Distributed Data Structure for Top-k and k-Select Queries},
DOI={10.1007/978-3-319-89441-6_21},
booktitle={Proceedings of the 15th Workshop on Approximation and Online Algorithms
(WAOA)}, publisher={Springer}, author={Biermeier, Felix and Feldkord, Björn and
Malatyali, Manuel and Meyer auf der Heide, Friedhelm}, year={2017}, pages={285–300}
}'
chicago: Biermeier, Felix, Björn Feldkord, Manuel Malatyali, and Friedhelm Meyer
auf der Heide. “A Communication-Efficient Distributed Data Structure for Top-k
and k-Select Queries.” In Proceedings of the 15th Workshop on Approximation
and Online Algorithms (WAOA), 285–300. Springer, 2017. https://doi.org/10.1007/978-3-319-89441-6_21.
ieee: F. Biermeier, B. Feldkord, M. Malatyali, and F. Meyer auf der Heide, “A Communication-Efficient
Distributed Data Structure for Top-k and k-Select Queries,” in Proceedings
of the 15th Workshop on Approximation and Online Algorithms (WAOA), 2017,
pp. 285–300.
mla: Biermeier, Felix, et al. “A Communication-Efficient Distributed Data Structure
for Top-k and k-Select Queries.” Proceedings of the 15th Workshop on Approximation
and Online Algorithms (WAOA), Springer, 2017, pp. 285–300, doi:10.1007/978-3-319-89441-6_21.
short: 'F. Biermeier, B. Feldkord, M. Malatyali, F. Meyer auf der Heide, in: Proceedings
of the 15th Workshop on Approximation and Online Algorithms (WAOA), Springer,
2017, pp. 285–300.'
date_created: 2020-03-30T09:25:18Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '63'
doi: 10.1007/978-3-319-89441-6_21
language:
- iso: eng
page: 285 - 300
publication: Proceedings of the 15th Workshop on Approximation and Online Algorithms
(WAOA)
publisher: Springer
status: public
title: A Communication-Efficient Distributed Data Structure for Top-k and k-Select
Queries
type: conference
user_id: '15415'
year: '2017'
...
---
_id: '16349'
author:
- first_name: Pavel
full_name: Podlipyan, Pavel
last_name: Podlipyan
- first_name: Shouwei
full_name: Li, Shouwei
last_name: Li
- first_name: Christine
full_name: Markarian, Christine
id: '37612'
last_name: Markarian
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
citation:
ama: 'Podlipyan P, Li S, Markarian C, Meyer auf der Heide F. A Continuous Strategy
for Collisionless Gathering. In: Proceedings of the 13th International Symposium
on Algorithms and Experiments for Wireless Networks (ALGOSENSORS). ; 2017:182-197.
doi:10.1007/978-3-319-72751-6_14
'
apa: Podlipyan, P., Li, S., Markarian, C., & Meyer auf der Heide, F. (2017).
A Continuous Strategy for Collisionless Gathering. In Proceedings of the 13th
International Symposium on Algorithms and Experiments for Wireless Networks (ALGOSENSORS)
(pp. 182–197). https://doi.org/10.1007/978-3-319-72751-6_14
bibtex: '@inproceedings{Podlipyan_Li_Markarian_Meyer auf der Heide_2017, title={A
Continuous Strategy for Collisionless Gathering}, DOI={10.1007/978-3-319-72751-6_14 }, booktitle={Proceedings of the 13th International
Symposium on Algorithms and Experiments for Wireless Networks (ALGOSENSORS)},
author={Podlipyan, Pavel and Li, Shouwei and Markarian, Christine and Meyer auf
der Heide, Friedhelm}, year={2017}, pages={182–197} }'
chicago: Podlipyan, Pavel, Shouwei Li, Christine Markarian, and Friedhelm Meyer
auf der Heide. “A Continuous Strategy for Collisionless Gathering.” In Proceedings
of the 13th International Symposium on Algorithms and Experiments for Wireless
Networks (ALGOSENSORS), 182–97, 2017. https://doi.org/10.1007/978-3-319-72751-6_14 .
ieee: P. Podlipyan, S. Li, C. Markarian, and F. Meyer auf der Heide, “A Continuous
Strategy for Collisionless Gathering,” in Proceedings of the 13th International
Symposium on Algorithms and Experiments for Wireless Networks (ALGOSENSORS),
2017, pp. 182–197.
mla: Podlipyan, Pavel, et al. “A Continuous Strategy for Collisionless Gathering.”
Proceedings of the 13th International Symposium on Algorithms and Experiments
for Wireless Networks (ALGOSENSORS), 2017, pp. 182–97, doi:10.1007/978-3-319-72751-6_14 .
short: 'P. Podlipyan, S. Li, C. Markarian, F. Meyer auf der Heide, in: Proceedings
of the 13th International Symposium on Algorithms and Experiments for Wireless
Networks (ALGOSENSORS), 2017, pp. 182–197.'
date_created: 2020-03-30T09:43:05Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '63'
doi: '10.1007/978-3-319-72751-6_14 '
language:
- iso: eng
page: 182-197
publication: Proceedings of the 13th International Symposium on Algorithms and Experiments
for Wireless Networks (ALGOSENSORS)
status: public
title: A Continuous Strategy for Collisionless Gathering
type: conference
user_id: '15415'
year: '2017'
...
---
_id: '102'
author:
- first_name: Matthias
full_name: Becker, Matthias
last_name: Becker
citation:
ama: Becker M. Engineering Self-Adaptive Systems with Simulation-Based Performence
Prediction. Universität Paderborn; 2017. doi:10.17619/UNIPB/1-133
apa: Becker, M. (2017). Engineering Self-Adaptive Systems with Simulation-Based
Performence Prediction. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-133
bibtex: '@book{Becker_2017, title={Engineering Self-Adaptive Systems with Simulation-Based
Performence Prediction}, DOI={10.17619/UNIPB/1-133},
publisher={Universität Paderborn}, author={Becker, Matthias}, year={2017} }'
chicago: Becker, Matthias. Engineering Self-Adaptive Systems with Simulation-Based
Performence Prediction. Universität Paderborn, 2017. https://doi.org/10.17619/UNIPB/1-133.
ieee: M. Becker, Engineering Self-Adaptive Systems with Simulation-Based Performence
Prediction. Universität Paderborn, 2017.
mla: Becker, Matthias. Engineering Self-Adaptive Systems with Simulation-Based
Performence Prediction. Universität Paderborn, 2017, doi:10.17619/UNIPB/1-133.
short: M. Becker, Engineering Self-Adaptive Systems with Simulation-Based Performence
Prediction, Universität Paderborn, 2017.
date_created: 2017-10-17T12:41:11Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '76'
doi: 10.17619/UNIPB/1-133
project:
- _id: '1'
name: SFB 901
- _id: '11'
name: SFB 901 - Subprojekt B3
- _id: '3'
name: SFB 901 - Project Area B
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Steffen
full_name: Becker, Steffen
last_name: Becker
title: Engineering Self-Adaptive Systems with Simulation-Based Performence Prediction
type: dissertation
user_id: '477'
year: '2017'
...
---
_id: '10204'
author:
- first_name: Ralph
full_name: Ewerth, Ralph
last_name: Ewerth
- first_name: M.
full_name: Springstein, M.
last_name: Springstein
- first_name: E.
full_name: Müller, E.
last_name: Müller
- first_name: A.
full_name: Balz, A.
last_name: Balz
- first_name: J.
full_name: Gehlhaar, J.
last_name: Gehlhaar
- first_name: T.
full_name: Naziyok, T.
last_name: Naziyok
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ewerth R, Springstein M, Müller E, et al. Estimating relative depth in single
images via rankboost. In: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME
2017). ; 2017:919-924.'
apa: Ewerth, R., Springstein, M., Müller, E., Balz, A., Gehlhaar, J., Naziyok, T.,
… Hüllermeier, E. (2017). Estimating relative depth in single images via rankboost.
In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017) (pp. 919–924).
bibtex: '@inproceedings{Ewerth_Springstein_Müller_Balz_Gehlhaar_Naziyok_Dembczynski_Hüllermeier_2017,
title={Estimating relative depth in single images via rankboost}, booktitle={Proc.
IEEE Int. Conf. on Multimedia and Expo (ICME 2017)}, author={Ewerth, Ralph and
Springstein, M. and Müller, E. and Balz, A. and Gehlhaar, J. and Naziyok, T. and
Dembczynski, K. and Hüllermeier, Eyke}, year={2017}, pages={919–924} }'
chicago: Ewerth, Ralph, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok,
K. Dembczynski, and Eyke Hüllermeier. “Estimating Relative Depth in Single Images
via Rankboost.” In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017),
919–24, 2017.
ieee: R. Ewerth et al., “Estimating relative depth in single images via rankboost,”
in Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp.
919–924.
mla: Ewerth, Ralph, et al. “Estimating Relative Depth in Single Images via Rankboost.”
Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–24.
short: 'R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok,
K. Dembczynski, E. Hüllermeier, in: Proc. IEEE Int. Conf. on Multimedia and Expo
(ICME 2017), 2017, pp. 919–924.'
date_created: 2019-06-07T15:18:24Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 919-924
publication: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017)
status: public
title: Estimating relative depth in single images via rankboost
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10205'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E, Couso I. Statistical Inference for Incomplete
Ranking Data: The Case of Rank-Dependent Coarsening. In: Proc. 34th Int. Conf.
on Machine Learning (ICML 2017). ; 2017:1078-1087.'
apa: 'Ahmadi Fahandar, M., Hüllermeier, E., & Couso, I. (2017). Statistical
Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.
In Proc. 34th Int. Conf. on Machine Learning (ICML 2017) (pp. 1078–1087).'
bibtex: '@inproceedings{Ahmadi Fahandar_Hüllermeier_Couso_2017, title={Statistical
Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening},
booktitle={Proc. 34th Int. Conf. on Machine Learning (ICML 2017)}, author={Ahmadi
Fahandar, Mohsen and Hüllermeier, Eyke and Couso, Ines}, year={2017}, pages={1078–1087}
}'
chicago: 'Ahmadi Fahandar, Mohsen, Eyke Hüllermeier, and Ines Couso. “Statistical
Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.”
In Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 1078–87, 2017.'
ieee: 'M. Ahmadi Fahandar, E. Hüllermeier, and I. Couso, “Statistical Inference
for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening,” in Proc.
34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.'
mla: 'Ahmadi Fahandar, Mohsen, et al. “Statistical Inference for Incomplete Ranking
Data: The Case of Rank-Dependent Coarsening.” Proc. 34th Int. Conf. on Machine
Learning (ICML 2017), 2017, pp. 1078–87.'
short: 'M. Ahmadi Fahandar, E. Hüllermeier, I. Couso, in: Proc. 34th Int. Conf.
on Machine Learning (ICML 2017), 2017, pp. 1078–1087.'
date_created: 2019-06-07T15:22:01Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1078-1087
publication: Proc. 34th Int. Conf. on Machine Learning (ICML 2017)
status: public
title: 'Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening'
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10206'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Theodor
full_name: Lettmann, Theodor
id: '315'
last_name: Lettmann
orcid: 0000-0001-5859-2457
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Mohr F, Lettmann T, Hüllermeier E. Planning with Independent Task Networks.
In: Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017). ; 2017:193-206. doi:10.1007/978-3-319-67190-1_15'
apa: Mohr, F., Lettmann, T., & Hüllermeier, E. (2017). Planning with Independent
Task Networks. In Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017) (pp. 193–206). https://doi.org/10.1007/978-3-319-67190-1_15
bibtex: '@inproceedings{Mohr_Lettmann_Hüllermeier_2017, title={Planning with Independent
Task Networks}, DOI={10.1007/978-3-319-67190-1_15},
booktitle={Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017)}, author={Mohr, Felix and Lettmann, Theodor and Hüllermeier, Eyke},
year={2017}, pages={193–206} }'
chicago: Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent
Task Networks.” In Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017), 193–206, 2017. https://doi.org/10.1007/978-3-319-67190-1_15.
ieee: F. Mohr, T. Lettmann, and E. Hüllermeier, “Planning with Independent Task
Networks,” in Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017), 2017, pp. 193–206.
mla: Mohr, Felix, et al. “Planning with Independent Task Networks.” Proc. 40th
Annual German Conference on Advances in Artificial Intelligence (KI 2017),
2017, pp. 193–206, doi:10.1007/978-3-319-67190-1_15.
short: 'F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference
on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.'
date_created: 2019-06-07T15:24:16Z
date_updated: 2022-01-06T06:50:31Z
ddc:
- '000'
department:
- _id: '7'
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-319-67190-1_15
file:
- access_level: open_access
content_type: application/pdf
creator: lettmann
date_created: 2020-02-28T12:50:18Z
date_updated: 2020-02-28T12:50:18Z
file_id: '16157'
file_name: ki17.pdf
file_size: 374421
relation: main_file
file_date_updated: 2020-02-28T12:50:18Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 193-206
publication: Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017)
status: public
title: Planning with Independent Task Networks
type: conference
user_id: '315'
year: '2017'
...
---
_id: '10207'
author:
- first_name: M.
full_name: Czech, M.
last_name: Czech
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.-C.
full_name: Jakobs, M.-C.
last_name: Jakobs
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Czech M, Hüllermeier E, Jakobs M-C, Wehrheim H. Predicting rankings of software
verification tools. In: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics
(SWAN@ESEC/SIGSOFT FSE 2017. ; 2017:23-26.'
apa: Czech, M., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (2017). Predicting
rankings of software verification tools. In Proc. 3rd ACM SIGSOFT Int. I Workshop
on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017 (pp. 23–26).
bibtex: '@inproceedings{Czech_Hüllermeier_Jakobs_Wehrheim_2017, title={Predicting
rankings of software verification tools}, booktitle={Proc. 3rd ACM SIGSOFT Int.
I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017}, author={Czech,
M. and Hüllermeier, Eyke and Jakobs, M.-C. and Wehrheim, Heike}, year={2017},
pages={23–26} }'
chicago: Czech, M., Eyke Hüllermeier, M.-C. Jakobs, and Heike Wehrheim. “Predicting
Rankings of Software Verification Tools.” In Proc. 3rd ACM SIGSOFT Int. I Workshop
on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 23–26, 2017.
ieee: M. Czech, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Predicting rankings
of software verification tools,” in Proc. 3rd ACM SIGSOFT Int. I Workshop on
Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.
mla: Czech, M., et al. “Predicting Rankings of Software Verification Tools.” Proc.
3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017,
2017, pp. 23–26.
short: 'M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proc. 3rd ACM SIGSOFT
Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.'
date_created: 2019-06-07T15:27:47Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 23-26
publication: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT
FSE 2017
status: public
title: Predicting rankings of software verification tools
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10208'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: D.
full_name: Dubois, D.
last_name: Dubois
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Couso I, Dubois D, Hüllermeier E. Maximum Likelihood Estimation and Coarse
Data. In: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017).
; 2017:3-16.'
apa: Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum Likelihood Estimation
and Coarse Data. In Proc. 11th Int. Conf. on Scalable Uncertainty Management
(SUM 2017) (pp. 3–16).
bibtex: '@inproceedings{Couso_Dubois_Hüllermeier_2017, title={Maximum Likelihood
Estimation and Coarse Data}, booktitle={Proc. 11th Int. Conf. on Scalable Uncertainty
Management (SUM 2017)}, author={Couso, Ines and Dubois, D. and Hüllermeier, Eyke},
year={2017}, pages={3–16} }'
chicago: Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation
and Coarse Data.” In Proc. 11th Int. Conf. on Scalable Uncertainty Management
(SUM 2017), 3–16, 2017.
ieee: I. Couso, D. Dubois, and E. Hüllermeier, “Maximum Likelihood Estimation and
Coarse Data,” in Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM
2017), 2017, pp. 3–16.
mla: Couso, Ines, et al. “Maximum Likelihood Estimation and Coarse Data.” Proc.
11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.
short: 'I. Couso, D. Dubois, E. Hüllermeier, in: Proc. 11th Int. Conf. on Scalable
Uncertainty Management (SUM 2017), 2017, pp. 3–16.'
date_created: 2019-06-07T15:30:48Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 3-16
publication: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017)
status: public
title: Maximum Likelihood Estimation and Coarse Data
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10209'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E. Learning to Rank based on Analogical Reasoning.
In: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence. ;
2017.'
apa: Ahmadi Fahandar, M., & Hüllermeier, E. (2017). Learning to Rank based on
Analogical Reasoning. In Proc. AAAI 2017, 32nd AAAI Conference on Artificial
Intelligence.
bibtex: '@inproceedings{Ahmadi Fahandar_Hüllermeier_2017, title={Learning to Rank
based on Analogical Reasoning}, booktitle={Proc. AAAI 2017, 32nd AAAI Conference
on Artificial Intelligence}, author={Ahmadi Fahandar, Mohsen and Hüllermeier,
Eyke}, year={2017} }'
chicago: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based
on Analogical Reasoning.” In Proc. AAAI 2017, 32nd AAAI Conference on Artificial
Intelligence, 2017.
ieee: M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank based on Analogical
Reasoning,” in Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence,
2017.
mla: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical
Reasoning.” Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence,
2017.
short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. AAAI 2017, 32nd AAAI Conference
on Artificial Intelligence, 2017.'
date_created: 2019-06-07T15:33:14Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence
status: public
title: Learning to Rank based on Analogical Reasoning
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10212'
author:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Mikut, R.
last_name: Mikut
citation:
ama: 'Hoffmann F, Hüllermeier E, Mikut R. (Hrsg.) Proceedings 27. Workshop Computational
Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017. In: ; 2017.'
apa: Hoffmann, F., Hüllermeier, E., & Mikut, R. (2017). (Hrsg.) Proceedings
27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe,
Germany 2017.
bibtex: '@inproceedings{Hoffmann_Hüllermeier_Mikut_2017, title={(Hrsg.) Proceedings
27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe,
Germany 2017}, author={Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.}, year={2017}
}'
chicago: Hoffmann, F., Eyke Hüllermeier, and R. Mikut. “(Hrsg.) Proceedings 27.
Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany
2017,” 2017.
ieee: F. Hoffmann, E. Hüllermeier, and R. Mikut, “(Hrsg.) Proceedings 27. Workshop
Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,”
2017.
mla: Hoffmann, F., et al. (Hrsg.) Proceedings 27. Workshop Computational Intelligence,
KIT Scientific Publishing, Karlsruhe, Germany 2017. 2017.
short: 'F. Hoffmann, E. Hüllermeier, R. Mikut, in: 2017.'
date_created: 2019-06-07T15:46:10Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
status: public
title: (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific
Publishing, Karlsruhe, Germany 2017
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10213'
author:
- first_name: Vitaly
full_name: Melnikov, Vitaly
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Optimizing the Structure of Nested Dichotomies:
A Comparison of Two Heuristics. In: Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017. ; 2017:1-12.'
apa: 'Melnikov, V., & Hüllermeier, E. (2017). Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics. In Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017 (pp. 1–12).'
bibtex: '@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the Structure
of Nested Dichotomies: A Comparison of Two Heuristics}, booktitle={Proceedings
27. Workshop Computational Intelligence, Dortmund, Germany 2017}, author={Melnikov,
Vitaly and Hüllermeier, Eyke}, year={2017}, pages={1–12} }'
chicago: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics.” In Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 1–12, 2017.'
ieee: 'V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies:
A Comparison of Two Heuristics,” in Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.'
mla: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics.” Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.'
short: 'V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.'
date_created: 2019-06-07T15:49:36Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1-12
publication: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany
2017
status: public
title: 'Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics'
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10216'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: W.
full_name: Heldt, W.
last_name: Heldt
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Heldt W, Hüllermeier E. Learning TSK Fuzzy Rules from Data Streams.
In: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases, Skopje, Macedonia. ; 2017.'
apa: Shaker, A., Heldt, W., & Hüllermeier, E. (2017). Learning TSK Fuzzy Rules
from Data Streams. In Proceedings ECML/PKDD, European Conference on Machine
Learning and Knowledge Discovery in Databases, Skopje, Macedonia.
bibtex: '@inproceedings{Shaker_Heldt_Hüllermeier_2017, title={Learning TSK Fuzzy
Rules from Data Streams}, booktitle={Proceedings ECML/PKDD, European Conference
on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia},
author={Shaker, Ammar and Heldt, W. and Hüllermeier, Eyke}, year={2017} }'
chicago: Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules
from Data Streams.” In Proceedings ECML/PKDD, European Conference on Machine
Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
ieee: A. Shaker, W. Heldt, and E. Hüllermeier, “Learning TSK Fuzzy Rules from Data
Streams,” in Proceedings ECML/PKDD, European Conference on Machine Learning
and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
mla: Shaker, Ammar, et al. “Learning TSK Fuzzy Rules from Data Streams.” Proceedings
ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in
Databases, Skopje, Macedonia, 2017.
short: 'A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European
Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia,
2017.'
date_created: 2019-06-07T16:00:10Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases, Skopje, Macedonia
status: public
title: Learning TSK Fuzzy Rules from Data Streams
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10267'
author:
- first_name: M.
full_name: Bräuning, M.
last_name: Bräuning
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: T.
full_name: Keller, T.
last_name: Keller
- first_name: M.
full_name: Glaum, M.
last_name: Glaum
citation:
ama: Bräuning M, Hüllermeier E, Keller T, Glaum M. Lexicographic preferences for
predictive modeling of human decision making. A new machine learning method with
an application in accounting. European Journal of Operational Research.
2017;258(1):295-306.
apa: Bräuning, M., Hüllermeier, E., Keller, T., & Glaum, M. (2017). Lexicographic
preferences for predictive modeling of human decision making. A new machine learning
method with an application in accounting. European Journal of Operational
Research, 258(1), 295–306.
bibtex: '@article{Bräuning_Hüllermeier_Keller_Glaum_2017, title={Lexicographic preferences
for predictive modeling of human decision making. A new machine learning method
with an application in accounting}, volume={258}, number={1}, journal={European
Journal of Operational Research}, author={Bräuning, M. and Hüllermeier, Eyke and
Keller, T. and Glaum, M.}, year={2017}, pages={295–306} }'
chicago: 'Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic
Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning
Method with an Application in Accounting.” European Journal of Operational
Research 258, no. 1 (2017): 295–306.'
ieee: M. Bräuning, E. Hüllermeier, T. Keller, and M. Glaum, “Lexicographic preferences
for predictive modeling of human decision making. A new machine learning method
with an application in accounting,” European Journal of Operational Research,
vol. 258, no. 1, pp. 295–306, 2017.
mla: Bräuning, M., et al. “Lexicographic Preferences for Predictive Modeling of
Human Decision Making. A New Machine Learning Method with an Application in Accounting.”
European Journal of Operational Research, vol. 258, no. 1, 2017, pp. 295–306.
short: M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational
Research 258 (2017) 295–306.
date_created: 2019-06-18T15:43:40Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 258'
issue: '1'
language:
- iso: eng
page: 295-306
publication: European Journal of Operational Research
status: public
title: Lexicographic preferences for predictive modeling of human decision making.
A new machine learning method with an application in accounting
type: journal_article
user_id: '49109'
volume: 258
year: '2017'
...
---
_id: '10268'
author:
- first_name: M.-C.
full_name: Platenius, M.-C.
last_name: Platenius
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: M.
full_name: Becker, M.
last_name: Becker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: W.
full_name: Schäfer, W.
last_name: Schäfer
citation:
ama: Platenius M-C, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching
of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE
Transactions on Software Engineering. 2017;43(8):739-759.
apa: Platenius, M.-C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W.
(2017). Imprecise Matching of Requirements Specifications for Software Services
Using Fuzzy Logic. IEEE Transactions on Software Engineering, 43(8),
739–759.
bibtex: '@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2017, title={Imprecise
Matching of Requirements Specifications for Software Services Using Fuzzy Logic},
volume={43}, number={8}, journal={IEEE Transactions on Software Engineering},
author={Platenius, M.-C. and Shaker, Ammar and Becker, M. and Hüllermeier, Eyke
and Schäfer, W.}, year={2017}, pages={739–759} }'
chicago: 'Platenius, M.-C., Ammar Shaker, M. Becker, Eyke Hüllermeier, and W. Schäfer.
“Imprecise Matching of Requirements Specifications for Software Services Using
Fuzzy Logic.” IEEE Transactions on Software Engineering 43, no. 8 (2017):
739–59.'
ieee: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise
Matching of Requirements Specifications for Software Services Using Fuzzy Logic,”
IEEE Transactions on Software Engineering, vol. 43, no. 8, pp. 739–759,
2017.
mla: Platenius, M. C., et al. “Imprecise Matching of Requirements Specifications
for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering,
vol. 43, no. 8, 2017, pp. 739–59.
short: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions
on Software Engineering 43 (2017) 739–759.
date_created: 2019-06-18T15:47:33Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 43'
issue: '8'
language:
- iso: eng
page: 739-759
publication: IEEE Transactions on Software Engineering
status: public
title: Imprecise Matching of Requirements Specifications for Software Services Using
Fuzzy Logic
type: journal_article
user_id: '49109'
volume: 43
year: '2017'
...
---
_id: '10269'
article_number: 'abs/1712.00646 '
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based
Systems: A Critical Reflection. The Computing Research Repository (CoRR).
2017.'
apa: 'Hüllermeier, E. (2017). From Knowledge-based to Data-driven Modeling of Fuzzy
Rule-based Systems: A Critical Reflection. The Computing Research Repository
(CoRR).'
bibtex: '@article{Hüllermeier_2017, title={From Knowledge-based to Data-driven Modeling
of Fuzzy Rule-based Systems: A Critical Reflection}, number={abs/1712.00646},
journal={The Computing Research Repository (CoRR)}, author={Hüllermeier, Eyke},
year={2017} }'
chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy
Rule-Based Systems: A Critical Reflection.” The Computing Research Repository
(CoRR), 2017.'
ieee: 'E. Hüllermeier, “From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based
Systems: A Critical Reflection,” The Computing Research Repository (CoRR),
2017.'
mla: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy
Rule-Based Systems: A Critical Reflection.” The Computing Research Repository
(CoRR), abs/1712.00646, 2017.'
short: E. Hüllermeier, The Computing Research Repository (CoRR) (2017).
date_created: 2019-06-18T15:53:28Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: The Computing Research Repository (CoRR)
status: public
title: 'From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems:
A Critical Reflection'
type: journal_article
user_id: '49109'
year: '2017'
...
---
_id: '5829'
abstract:
- lang: eng
text: Websites increasingly embed semantic data for search engine optimization.
The most common ontology for semantic data, schema.org, is supported by all major
search engines and describes over 500 data types, including calendar events, recipes,
products, and TV shows. As of today, users wishing to pass this data to their
favorite applications, e.g., their calendars, cookbooks, price comparison applications
or even smart devices such as TV receivers, rely on cumbersome and error-prone
workarounds such as reentering the data or a series of copy and paste operations.
In this paper, we present Semantic Data Mediator (SDM), an approach that allows
the easy transfer of semantic data to a multitude of services, ranging from web
services to applications installed on different devices. SDM extracts semantic
data from the currently displayed web page on the client-side, offers suitable
services to the user, and by the press of a button, forwards this data to the
desired service while doing all the necessary data conversion and service interface
adaptation in between. To realize this, we built a reusable repository of service
descriptions, data converters, and service adapters, which can be extended by
the crowd. Our approach for linking services to websites relies solely on semantic
data and does not require any additional support by either website or service
developers. We have fully implemented our approach and present a real-world case
study demonstrating its feasibility and usefulness.
author:
- first_name: Dennis
full_name: Wolters, Dennis
id: '11308'
last_name: Wolters
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Wolters D, Heindorf S, Kirchhoff J, Engels G. Linking Services to Websites
by Leveraging Semantic Data. In: Altintas I, Chen S, eds. 2017 IEEE International
Conference on Web Services (ICWS). IEEE; 2017. doi:10.1109/icws.2017.80'
apa: Wolters, D., Heindorf, S., Kirchhoff, J., & Engels, G. (2017). Linking
Services to Websites by Leveraging Semantic Data. In I. Altintas & S. Chen
(Eds.), 2017 IEEE International Conference on Web Services (ICWS). IEEE.
https://doi.org/10.1109/icws.2017.80
bibtex: '@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2017, title={Linking Services
to Websites by Leveraging Semantic Data}, DOI={10.1109/icws.2017.80},
booktitle={2017 IEEE International Conference on Web Services (ICWS)}, publisher={IEEE},
author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels,
Gregor}, editor={Altintas, Ilkay and Chen, Shiping}, year={2017} }'
chicago: Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Linking
Services to Websites by Leveraging Semantic Data.” In 2017 IEEE International
Conference on Web Services (ICWS), edited by Ilkay Altintas and Shiping Chen.
IEEE, 2017. https://doi.org/10.1109/icws.2017.80.
ieee: 'D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Linking Services to
Websites by Leveraging Semantic Data,” in 2017 IEEE International Conference
on Web Services (ICWS), 2017, doi: 10.1109/icws.2017.80.'
mla: Wolters, Dennis, et al. “Linking Services to Websites by Leveraging Semantic
Data.” 2017 IEEE International Conference on Web Services (ICWS), edited
by Ilkay Altintas and Shiping Chen, IEEE, 2017, doi:10.1109/icws.2017.80.
short: 'D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: I. Altintas, S. Chen
(Eds.), 2017 IEEE International Conference on Web Services (ICWS), IEEE, 2017.'
date_created: 2018-11-26T11:49:31Z
date_updated: 2022-10-15T20:01:55Z
department:
- _id: '66'
doi: 10.1109/icws.2017.80
editor:
- first_name: Ilkay
full_name: Altintas, Ilkay
last_name: Altintas
- first_name: Shiping
full_name: Chen, Shiping
last_name: Chen
keyword:
- Services
- Websites
- Semantic Data
- schema.org
- Data Conversion
- Interface Adaptation
- Mediation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://cs.uni-paderborn.de/fileadmin/informatik/fg/dbis/Publikationen/2017/wolters2017_ICWS.pdf
oa: '1'
publication: 2017 IEEE International Conference on Web Services (ICWS)
publication_identifier:
isbn:
- '9781538607527'
publication_status: published
publisher: IEEE
status: public
title: Linking Services to Websites by Leveraging Semantic Data
type: conference
user_id: '11871'
year: '2017'
...