---
_id: '16952'
author:
- first_name: Martin
full_name: Poniatowski, Martin
id: '32441'
last_name: Poniatowski
- first_name: Jürgen
full_name: Neumann, Jürgen
id: '32456'
last_name: Neumann
citation:
ama: 'Poniatowski M, Neumann J. Getting Personal with Review Systems – Analyzing
the Influence of Personality Traits on the Relationship between Review Templates
and Reviewing Behavior. In: Proceedings of the 28th European Conference on
Information Systems (ECIS).'
apa: Poniatowski, M., & Neumann, J. (n.d.). Getting Personal with Review Systems
– Analyzing the Influence of Personality Traits on the Relationship between Review
Templates and Reviewing Behavior. In Proceedings of the 28th European Conference
on Information Systems (ECIS). Virtual Conference/Workshop.
bibtex: '@inproceedings{Poniatowski_Neumann, title={Getting Personal with Review
Systems – Analyzing the Influence of Personality Traits on the Relationship between
Review Templates and Reviewing Behavior}, booktitle={Proceedings of the 28th European
Conference on Information Systems (ECIS)}, author={Poniatowski, Martin and Neumann,
Jürgen} }'
chicago: Poniatowski, Martin, and Jürgen Neumann. “Getting Personal with Review
Systems – Analyzing the Influence of Personality Traits on the Relationship between
Review Templates and Reviewing Behavior.” In Proceedings of the 28th European
Conference on Information Systems (ECIS), n.d.
ieee: M. Poniatowski and J. Neumann, “Getting Personal with Review Systems – Analyzing
the Influence of Personality Traits on the Relationship between Review Templates
and Reviewing Behavior,” in Proceedings of the 28th European Conference on
Information Systems (ECIS), Virtual Conference/Workshop.
mla: Poniatowski, Martin, and Jürgen Neumann. “Getting Personal with Review Systems
– Analyzing the Influence of Personality Traits on the Relationship between Review
Templates and Reviewing Behavior.” Proceedings of the 28th European Conference
on Information Systems (ECIS).
short: 'M. Poniatowski, J. Neumann, in: Proceedings of the 28th European Conference
on Information Systems (ECIS), n.d.'
conference:
location: Virtual Conference/Workshop
name: 28th European Conference on Information Systems (ECIS)
date_created: 2020-05-14T09:36:33Z
date_updated: 2022-01-06T06:52:59Z
department:
- _id: '276'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '8'
name: SFB 901 - Subproject A4
publication: Proceedings of the 28th European Conference on Information Systems (ECIS)
publication_status: accepted
status: public
title: Getting Personal with Review Systems – Analyzing the Influence of Personality
Traits on the Relationship between Review Templates and Reviewing Behavior
type: conference
user_id: '16205'
year: '2020'
...
---
_id: '17063'
author:
- first_name: Tim
full_name: Hansmeier, Tim
id: '49992'
last_name: Hansmeier
orcid: 0000-0003-1377-3339
- first_name: Paul
full_name: Kaufmann, Paul
last_name: Kaufmann
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Hansmeier T, Kaufmann P, Platzner M. An Adaption Mechanism for the Error Threshold
of XCSF. In: GECCO ’20: Proceedings of the Genetic and Evolutionary Computation
Conference Companion. Association for Computing Machinery (ACM); 2020:1756-1764.
doi:10.1145/3377929.3398106'
apa: 'Hansmeier, T., Kaufmann, P., & Platzner, M. (2020). An Adaption Mechanism
for the Error Threshold of XCSF. GECCO ’20: Proceedings of the Genetic and
Evolutionary Computation Conference Companion, 1756–1764. https://doi.org/10.1145/3377929.3398106'
bibtex: '@inproceedings{Hansmeier_Kaufmann_Platzner_2020, place={New York, NY, United
States}, title={An Adaption Mechanism for the Error Threshold of XCSF}, DOI={10.1145/3377929.3398106}, booktitle={GECCO
’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion},
publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim
and Kaufmann, Paul and Platzner, Marco}, year={2020}, pages={1756–1764} }'
chicago: 'Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “An Adaption Mechanism
for the Error Threshold of XCSF.” In GECCO ’20: Proceedings of the Genetic
and Evolutionary Computation Conference Companion, 1756–64. New York, NY,
United States: Association for Computing Machinery (ACM), 2020. https://doi.org/10.1145/3377929.3398106.'
ieee: 'T. Hansmeier, P. Kaufmann, and M. Platzner, “An Adaption Mechanism for the
Error Threshold of XCSF,” in GECCO ’20: Proceedings of the Genetic and Evolutionary
Computation Conference Companion, Cancún, Mexico, 2020, pp. 1756–1764, doi:
10.1145/3377929.3398106.'
mla: 'Hansmeier, Tim, et al. “An Adaption Mechanism for the Error Threshold of XCSF.”
GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference
Companion, Association for Computing Machinery (ACM), 2020, pp. 1756–64, doi:10.1145/3377929.3398106.'
short: 'T. Hansmeier, P. Kaufmann, M. Platzner, in: GECCO ’20: Proceedings of the
Genetic and Evolutionary Computation Conference Companion, Association for Computing
Machinery (ACM), New York, NY, United States, 2020, pp. 1756–1764.'
conference:
end_date: 2020-07-12
location: Cancún, Mexico
name: International Workshop on Learning Classifier Systems (IWLCS 2020)
start_date: 2020-07-08
date_created: 2020-05-27T14:14:58Z
date_updated: 2022-01-06T06:53:03Z
department:
- _id: '78'
doi: 10.1145/3377929.3398106
language:
- iso: eng
page: 1756-1764
place: New York, NY, United States
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: SFB 901
- _id: '14'
name: SFB 901 - Subproject C2
publication: 'GECCO ''20: Proceedings of the Genetic and Evolutionary Computation
Conference Companion'
publication_identifier:
isbn:
- 978-1-4503-7127-8
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: An Adaption Mechanism for the Error Threshold of XCSF
type: conference
user_id: '477'
year: '2020'
...
---
_id: '17082'
abstract:
- lang: eng
text: Data-parallel applications run on cluster of servers in a datacenter and their
communication triggers correlated resource demand on multiple links that can be
abstracted as coflow. They often desire predictable network performance, which
can be passed to network via coflow abstraction for application-aware network
scheduling. In this paper, we propose a heuristic and an optimization algorithm
for predictable network performance such that they guarantee coflows completion
within their deadlines. The algorithms also ensure high network utilization, i.e.,
it's work-conserving, and avoids starvation of coflows. We evaluate both algorithms
via trace-driven simulation and show that they admit 1.1x more coflows than the
Varys scheme while meeting their deadlines.
author:
- first_name: Asif
full_name: Hasnain, Asif
id: '63288'
last_name: Hasnain
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Hasnain A, Karl H. Coflow Scheduling with Performance Guarantees for Data
Center Applications. In: 2020 20th IEEE/ACM International Symposium on Cluster,
Cloud and Internet Computing (CCGRID). IEEE Computer Society; 2020. doi:https://doi.org/10.1109/CCGrid49817.2020.00010'
apa: 'Hasnain, A., & Karl, H. (2020). Coflow Scheduling with Performance Guarantees
for Data Center Applications. In 2020 20th IEEE/ACM International Symposium
on Cluster, Cloud and Internet Computing (CCGRID). Melbourne, Australia: IEEE
Computer Society. https://doi.org/10.1109/CCGrid49817.2020.00010'
bibtex: '@inproceedings{Hasnain_Karl_2020, title={Coflow Scheduling with Performance
Guarantees for Data Center Applications}, DOI={https://doi.org/10.1109/CCGrid49817.2020.00010},
booktitle={2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGRID)}, publisher={IEEE Computer Society}, author={Hasnain, Asif
and Karl, Holger}, year={2020} }'
chicago: Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees
for Data Center Applications.” In 2020 20th IEEE/ACM International Symposium
on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society,
2020. https://doi.org/10.1109/CCGrid49817.2020.00010.
ieee: A. Hasnain and H. Karl, “Coflow Scheduling with Performance Guarantees for
Data Center Applications,” in 2020 20th IEEE/ACM International Symposium on
Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, 2020.
mla: Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees
for Data Center Applications.” 2020 20th IEEE/ACM International Symposium on
Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020,
doi:https://doi.org/10.1109/CCGrid49817.2020.00010.
short: 'A. Hasnain, H. Karl, in: 2020 20th IEEE/ACM International Symposium on Cluster,
Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020.'
conference:
location: Melbourne, Australia
name: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGRID)
date_created: 2020-06-06T07:40:45Z
date_updated: 2022-01-06T06:53:04Z
ddc:
- '000'
department:
- _id: '75'
doi: https://doi.org/10.1109/CCGrid49817.2020.00010
keyword:
- Coflow
- Scheduling
- Deadlines
- Data centers
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/9139642
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '1'
name: SFB 901
publication: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGRID)
publication_status: published
publisher: IEEE Computer Society
status: public
title: Coflow Scheduling with Performance Guarantees for Data Center Applications
type: conference
user_id: '63288'
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: '15582'
abstract:
- lang: eng
text: When it comes to increased digitization in the health care domain, privacy
is a relevant topic nowadays. This relates to patient data, electronic health
records or physician reviews published online, for instance. There exist different
approaches to the protection of individuals’ privacy, which focus on the anonymization
and masking of personal information subsequent to their mining. In the medical
domain in particular, measures to protect the privacy of patients are of high
importance due to the amount of sensitive data that is involved (e.g. age, gender,
illnesses, medication). While privacy breaches in structured data can be detected
more easily, disclosure in written texts is more difficult to find automatically
due to the unstructured nature of natural language. Therefore, we take a detailed
look at existing research on areas related to privacy protection. Likewise, we
review approaches to the automatic detection of privacy disclosure in different
types of medical data. We provide a survey of several studies concerned with privacy
breaches in the medical domain with a focus on Physician Review Websites (PRWs).
Finally, we briefly develop implications and directions for further research.
author:
- first_name: Bianca
full_name: Buff, Bianca
last_name: Buff
- 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: 'Buff B, Kersting J, Geierhos M. Detection of Privacy Disclosure in the Medical
Domain: A Survey. In: Proceedings of the 9th International Conference on Pattern
Recognition Applications and Methods (ICPRAM 2020). Setúbal, Portugal: SCITEPRESS;
2020:630--637.'
apa: 'Buff, B., Kersting, J., & Geierhos, M. (2020). Detection of Privacy Disclosure
in the Medical Domain: A Survey. In Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods (ICPRAM 2020) (pp. 630--637).
Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Buff_Kersting_Geierhos_2020, place={Setúbal, Portugal},
title={Detection of Privacy Disclosure in the Medical Domain: A Survey}, booktitle={Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods
(ICPRAM 2020)}, publisher={SCITEPRESS}, author={Buff, Bianca and Kersting, Joschka
and Geierhos, Michaela}, year={2020}, pages={630--637} }'
chicago: 'Buff, Bianca, Joschka Kersting, and Michaela Geierhos. “Detection of Privacy
Disclosure in the Medical Domain: A Survey.” In Proceedings of the 9th International
Conference on Pattern Recognition Applications and Methods (ICPRAM 2020),
630--637. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: 'B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in
the Medical Domain: A Survey,” in Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta,
2020, pp. 630--637.'
mla: 'Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain:
A Survey.” Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods (ICPRAM 2020), SCITEPRESS, 2020, pp. 630--637.'
short: 'B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International
Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS,
Setúbal, Portugal, 2020, pp. 630--637.'
conference:
location: Valetta, Malta
name: International Conference on Pattern Recognition Applications and Methods (ICPRAM)
date_created: 2020-01-15T08:49:25Z
date_updated: 2022-01-06T06:52:30Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:25:30Z
date_updated: 2020-09-18T09:25:30Z
file_id: '19574'
file_name: Buff et al. (2020), Buff2020.pdf
file_size: 287956
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:25:30Z
has_accepted_license: '1'
keyword:
- Identity Disclosure
- Privacy Protection
- Physician Review Website
- De-Anonymization
- Medical Domain
language:
- iso: eng
page: 630--637
place: Setúbal, Portugal
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 9th International Conference on Pattern Recognition
Applications and Methods (ICPRAM 2020)
publisher: SCITEPRESS
status: public
title: 'Detection of Privacy Disclosure in the Medical Domain: A Survey'
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15629'
abstract:
- lang: eng
text: In multi-label classification (MLC), each instance is associated with a set
of class labels, in contrast to standard classification where an instance is assigned
a single label. Binary relevance (BR) learning, which reduces a multi-label to
a set of binary classification problems, one per label, is arguably the most straight-forward
approach to MLC. In spite of its simplicity, BR proved to be competitive to more
sophisticated MLC methods, and still achieves state-of-the-art performance for
many loss functions. Somewhat surprisingly, the optimal choice of the base learner
for tackling the binary classification problems has received very little attention
so far. Taking advantage of the label independence assumption inherent to BR,
we propose a label-wise base learner selection method optimizing label-wise macro
averaged performance measures. In an extensive experimental evaluation, we find
that or approach, called LiBRe, can significantly improve generalization performance.
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Wever MD, Tornede A, Mohr F, Hüllermeier E. LiBRe: Label-Wise Selection of
Base Learners in Binary Relevance for Multi-Label Classification. In: Springer.'
apa: 'Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (n.d.). LiBRe:
Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification.
Symposium on Intelligent Data Analysis, Konstanz, Germany.'
bibtex: '@inproceedings{Wever_Tornede_Mohr_Hüllermeier, title={LiBRe: Label-Wise
Selection of Base Learners in Binary Relevance for Multi-Label Classification},
publisher={Springer}, author={Wever, Marcel Dominik and Tornede, Alexander and
Mohr, Felix and Hüllermeier, Eyke} }'
chicago: 'Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier.
“LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label
Classification.” Springer, n.d.'
ieee: 'M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “LiBRe: Label-Wise
Selection of Base Learners in Binary Relevance for Multi-Label Classification,”
presented at the Symposium on Intelligent Data Analysis, Konstanz, Germany.'
mla: 'Wever, Marcel Dominik, et al. LiBRe: Label-Wise Selection of Base Learners
in Binary Relevance for Multi-Label Classification. Springer.'
short: 'M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, in: Springer, n.d.'
conference:
end_date: 2020-04-27
location: Konstanz, Germany
name: Symposium on Intelligent Data Analysis
start_date: 2020-04-24
date_created: 2020-01-23T08:44:08Z
date_updated: 2022-01-06T06:52:30Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication_status: accepted
publisher: Springer
status: public
title: 'LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label
Classification'
type: conference
user_id: '5786'
year: '2020'
...
---
_id: '15631'
author:
- first_name: Björn
full_name: Feldkord, Björn
id: '22704'
last_name: Feldkord
citation:
ama: Feldkord B. Mobile Resource Allocation. Universität Paderborn; 2020.
doi:10.17619/UNIPB/1-869
apa: Feldkord, B. (2020). Mobile Resource Allocation. Universität Paderborn.
https://doi.org/10.17619/UNIPB/1-869
bibtex: '@book{Feldkord_2020, place={Universität Paderborn}, title={Mobile Resource
Allocation}, DOI={10.17619/UNIPB/1-869},
author={Feldkord, Björn}, year={2020} }'
chicago: Feldkord, Björn. Mobile Resource Allocation. Universität Paderborn,
2020. https://doi.org/10.17619/UNIPB/1-869.
ieee: B. Feldkord, Mobile Resource Allocation. Universität Paderborn, 2020.
mla: Feldkord, Björn. Mobile Resource Allocation. 2020, doi:10.17619/UNIPB/1-869.
short: B. Feldkord, Mobile Resource Allocation, Universität Paderborn, 2020.
date_created: 2020-01-23T14:20:25Z
date_updated: 2022-01-06T06:52:31Z
ddc:
- '000'
department:
- _id: '63'
doi: 10.17619/UNIPB/1-869
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2020-01-24T08:19:38Z
date_updated: 2020-01-24T08:19:38Z
file_id: '15634'
file_name: DissertationFeldkord.pdf
file_size: 633652
relation: main_file
success: 1
file_date_updated: 2020-01-24T08:19:38Z
has_accepted_license: '1'
language:
- iso: eng
place: Universität Paderborn
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '5'
name: SFB 901 - Subproject A1
status: public
supervisor:
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
title: Mobile Resource Allocation
type: dissertation
user_id: '15415'
year: '2020'
...
---
_id: '15635'
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. Neural Learning for Aspect Phrase Extraction and Classification
in Sentiment Analysis. In: Proceedings of the 33rd International Florida Artificial
Intelligence Research Symposium (FLAIRS) Conference. North Miami Beach, FL,
USA: AAAI; 2020:282--285.'
apa: 'Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase
Extraction and Classification in Sentiment Analysis. In Proceedings of the
33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={North Miami Beach, FL, USA},
title={Neural Learning for Aspect Phrase Extraction and Classification in Sentiment
Analysis}, booktitle={Proceedings of the 33rd International Florida Artificial
Intelligence Research Symposium (FLAIRS) Conference}, publisher={AAAI}, author={Kersting,
Joschka and Geierhos, Michaela}, year={2020}, pages={282--285} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect
Phrase Extraction and Classification in Sentiment Analysis.” In Proceedings
of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
Conference, 282--285. North Miami Beach, FL, USA: AAAI, 2020.'
ieee: J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction
and Classification in Sentiment Analysis,” in Proceedings of the 33rd International
Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North
Miami Beach, FL, USA, 2020, pp. 282--285.
mla: Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase
Extraction and Classification in Sentiment Analysis.” Proceedings of the 33rd
International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference,
AAAI, 2020, pp. 282--285.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida
Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami
Beach, FL, USA, 2020, pp. 282--285.'
conference:
end_date: 2020-05-20
location: North Miami Beach, FL, USA
name: The 33rd International Florida Artificial Intelligence Research Symposium
(FLAIRS) Conference
start_date: 2020-05-17
date_created: 2020-01-24T09:10:09Z
date_updated: 2022-01-06T06:52:31Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:39:08Z
date_updated: 2020-09-18T09:39:08Z
file_id: '19582'
file_name: Kersting & Geierhos (2020b), Kersting2020b.pdf
file_size: 464976
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:39:08Z
has_accepted_license: '1'
language:
- iso: eng
page: 282--285
place: North Miami Beach, FL, USA
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '1'
name: SFB 901
publication: Proceedings of the 33rd International Florida Artificial Intelligence
Research Symposium (FLAIRS) Conference
publisher: AAAI
status: public
title: Neural Learning for Aspect Phrase Extraction and Classification in Sentiment
Analysis
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15770'
author:
- first_name: Daniel
full_name: Warner, Daniel
last_name: Warner
citation:
ama: Warner D. On the Complexity of Local Transformations in SDN Overlays.
Universität Paderborn; 2020.
apa: Warner, D. (2020). On the complexity of local transformations in SDN overlays.
Universität Paderborn.
bibtex: '@book{Warner_2020, title={On the complexity of local transformations in
SDN overlays}, publisher={Universität Paderborn}, author={Warner, Daniel}, year={2020}
}'
chicago: Warner, Daniel. On the Complexity of Local Transformations in SDN Overlays.
Universität Paderborn, 2020.
ieee: D. Warner, On the complexity of local transformations in SDN overlays.
Universität Paderborn, 2020.
mla: Warner, Daniel. On the Complexity of Local Transformations in SDN Overlays.
Universität Paderborn, 2020.
short: D. Warner, On the Complexity of Local Transformations in SDN Overlays, Universität
Paderborn, 2020.
date_created: 2020-02-04T13:47:02Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '79'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '4'
name: SFB 901 - Project Area C
- _id: '5'
name: SFB 901 - Subproject A1
- _id: '13'
name: SFB 901 - Subproject C1
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
title: On the complexity of local transformations in SDN overlays
type: mastersthesis
user_id: '477'
year: '2020'
...
---
_id: '15824'
author:
- first_name: Joachim
full_name: Heinzel, Joachim
last_name: Heinzel
citation:
ama: 'Heinzel J. Essays on the Theory of Industrial Organization: Credence Goods,
Vertical Relations and Product Bundling. Universität Paderborn; 2020.'
apa: 'Heinzel, J. (2020). Essays on the Theory of Industrial Organization: Credence
Goods, Vertical Relations and Product Bundling. Universität Paderborn.'
bibtex: '@book{Heinzel_2020, title={Essays on the Theory of Industrial Organization:
Credence Goods, Vertical Relations and Product Bundling}, publisher={Universität
Paderborn}, author={Heinzel, Joachim}, year={2020} }'
chicago: 'Heinzel, Joachim. Essays on the Theory of Industrial Organization:
Credence Goods, Vertical Relations and Product Bundling. Universität Paderborn,
2020.'
ieee: 'J. Heinzel, Essays on the Theory of Industrial Organization: Credence
Goods, Vertical Relations and Product Bundling. Universität Paderborn, 2020.'
mla: 'Heinzel, Joachim. Essays on the Theory of Industrial Organization: Credence
Goods, Vertical Relations and Product Bundling. Universität Paderborn, 2020.'
short: 'J. Heinzel, Essays on the Theory of Industrial Organization: Credence Goods,
Vertical Relations and Product Bundling, Universität Paderborn, 2020.'
date_created: 2020-02-06T10:50:01Z
date_updated: 2022-01-06T06:52:37Z
ddc:
- '330'
department:
- _id: '280'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2020-02-17T07:30:38Z
date_updated: 2020-02-17T07:30:38Z
file_id: '15919'
file_name: Dissertation-Heinzel.pdf
file_size: 1247525
relation: main_file
success: 1
file_date_updated: 2020-02-17T07:30:38Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '7'
name: SFB 901 - Subproject A3
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Burkhard
full_name: Hehenkamp, Burkhard
id: '37339'
last_name: Hehenkamp
title: 'Essays on the Theory of Industrial Organization: Credence Goods, Vertical
Relations and Product Bundling'
type: dissertation
user_id: '477'
year: '2020'
...
---
_id: '15025'
abstract:
- lang: eng
text: In software engineering, the imprecise requirements of a user are transformed
to a formal requirements specification during the requirements elicitation process.
This process is usually guided by requirements engineers interviewing the user.
We want to partially automate this first step of the software engineering process
in order to enable users to specify a desired software system on their own. With
our approach, users are only asked to provide exemplary behavioral descriptions.
The problem of synthesizing a requirements specification from examples can partially
be reduced to the problem of grammatical inference, to which we apply an active
coevolutionary learning approach. However, this approach would usually require
many feedback queries to be sent to the user. In this work, we extend and generalize
our active learning approach to receive knowledge from multiple oracles, also
known as proactive learning. The ‘user oracle’ represents input received from
the user and the ‘knowledge oracle’ represents available, formalized domain knowledge.
We call our two-oracle approach the ‘first apply knowledge then query’ (FAKT/Q)
algorithm. We compare FAKT/Q to the active learning approach and provide an extensive
benchmark evaluation. As result we find that the number of required user queries
is reduced and the inference process is sped up significantly. Finally, with so-called
On-The-Fly Markets, we present a motivation and an application of our approach
where such knowledge is available.
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Lorijn
full_name: van Rooijen, Lorijn
id: '58843'
last_name: van Rooijen
- first_name: Heiko
full_name: Hamann, Heiko
last_name: Hamann
citation:
ama: Wever MD, van Rooijen L, Hamann H. Multi-Oracle Coevolutionary Learning of
Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary
Computation. 2020;28(2):165–193. doi:10.1162/evco_a_00266
apa: Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary
Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266
bibtex: '@article{Wever_van Rooijen_Hamann_2020, title={Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets},
volume={28}, DOI={10.1162/evco_a_00266},
number={2}, journal={Evolutionary Computation}, publisher={MIT Press Journals},
author={Wever, Marcel Dominik and van Rooijen, Lorijn and Hamann, Heiko}, year={2020},
pages={165–193} }'
chicago: 'Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle
Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly
Markets.” Evolutionary Computation 28, no. 2 (2020): 165–193. https://doi.org/10.1162/evco_a_00266.'
ieee: 'M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets,”
Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi: 10.1162/evco_a_00266.'
mla: Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements
Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation,
vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:10.1162/evco_a_00266.
short: M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020)
165–193.
date_created: 2019-11-18T14:19:19Z
date_updated: 2022-01-06T06:52:15Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
- _id: '63'
- _id: '238'
doi: 10.1162/evco_a_00266
intvolume: ' 28'
issue: '2'
language:
- iso: eng
page: 165–193
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Evolutionary Computation
publication_status: published
publisher: MIT Press Journals
related_material:
link:
- relation: confirmation
url: https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00266
status: public
title: Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples
in On-The-Fly Markets
type: journal_article
user_id: '15415'
volume: 28
year: '2020'
...
---
_id: '15169'
author:
- first_name: Jannik
full_name: Castenow, Jannik
id: '38705'
last_name: Castenow
- first_name: Christina
full_name: Kolb, Christina
id: '43647'
last_name: Kolb
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
citation:
ama: 'Castenow J, Kolb C, Scheideler C. A Bounding Box Overlay for Competitive Routing
in Hybrid Communication Networks. In: Proceedings of the 21st International
Conference on Distributed Computing and Networking (ICDCN). ACM.'
apa: 'Castenow, J., Kolb, C., & Scheideler, C. (n.d.). A Bounding Box Overlay
for Competitive Routing in Hybrid Communication Networks. In Proceedings of
the 21st International Conference on Distributed Computing and Networking (ICDCN).
Kolkata, Indien: ACM.'
bibtex: '@inproceedings{Castenow_Kolb_Scheideler, title={A Bounding Box Overlay
for Competitive Routing in Hybrid Communication Networks}, booktitle={Proceedings
of the 21st International Conference on Distributed Computing and Networking (ICDCN)},
publisher={ACM}, author={Castenow, Jannik and Kolb, Christina and Scheideler,
Christian} }'
chicago: Castenow, Jannik, Christina Kolb, and Christian Scheideler. “A Bounding
Box Overlay for Competitive Routing in Hybrid Communication Networks.” In Proceedings
of the 21st International Conference on Distributed Computing and Networking (ICDCN).
ACM, n.d.
ieee: J. Castenow, C. Kolb, and C. Scheideler, “A Bounding Box Overlay for Competitive
Routing in Hybrid Communication Networks,” in Proceedings of the 21st International
Conference on Distributed Computing and Networking (ICDCN), Kolkata, Indien.
mla: Castenow, Jannik, et al. “A Bounding Box Overlay for Competitive Routing in
Hybrid Communication Networks.” Proceedings of the 21st International Conference
on Distributed Computing and Networking (ICDCN), ACM.
short: 'J. Castenow, C. Kolb, C. Scheideler, in: Proceedings of the 21st International
Conference on Distributed Computing and Networking (ICDCN), ACM, n.d.'
conference:
end_date: 07.01.2020
location: Kolkata, Indien
name: '21st International Conference on Distributed Computing and Networking '
start_date: 04.01.2020
date_created: 2019-11-25T12:18:41Z
date_updated: 2022-01-06T06:52:16Z
department:
- _id: '63'
- _id: '79'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '5'
name: SFB 901 - Subproject A1
publication: Proceedings of the 21st International Conference on Distributed Computing
and Networking (ICDCN)
publication_status: accepted
publisher: ACM
status: public
title: A Bounding Box Overlay for Competitive Routing in Hybrid Communication Networks
type: conference
user_id: '477'
year: '2020'
...
---
_id: '15210'
author:
- first_name: Janina
full_name: Seutter, Janina
id: '64464'
last_name: Seutter
- first_name: Jürgen
full_name: Neumann, Jürgen
id: '32456'
last_name: Neumann
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
citation:
ama: 'Seutter J, Neumann J, Kundisch D. Nudging in Judging- Differences in Online
Rating Behavior for Utilitarian and Hedonic Service Aspects. In: Tagungsband
Der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI). ; 2020.'
apa: Seutter, J., Neumann, J., & Kundisch, D. (2020). Nudging in Judging- Differences
in Online Rating Behavior for Utilitarian and Hedonic Service Aspects. In Tagungsband
der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI). Potsdam, Germany.
bibtex: '@inproceedings{Seutter_Neumann_Kundisch_2020, title={Nudging in Judging-
Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects},
booktitle={Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020
(WI)}, author={Seutter, Janina and Neumann, Jürgen and Kundisch, Dennis}, year={2020}
}'
chicago: Seutter, Janina, Jürgen Neumann, and Dennis Kundisch. “Nudging in Judging-
Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects.”
In Tagungsband Der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI),
2020.
ieee: J. Seutter, J. Neumann, and D. Kundisch, “Nudging in Judging- Differences
in Online Rating Behavior for Utilitarian and Hedonic Service Aspects,” in Tagungsband
der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI), Potsdam, Germany,
2020.
mla: Seutter, Janina, et al. “Nudging in Judging- Differences in Online Rating Behavior
for Utilitarian and Hedonic Service Aspects.” Tagungsband Der 15. Internationalen
Tagung Wirtschaftsinformatik 2020 (WI), 2020.
short: 'J. Seutter, J. Neumann, D. Kundisch, in: Tagungsband Der 15. Internationalen
Tagung Wirtschaftsinformatik 2020 (WI), 2020.'
conference:
location: Potsdam, Germany
name: 15. Internationale Tagung Wirtschaftsinformatik 2020 (WI)
date_created: 2019-11-28T14:53:21Z
date_updated: 2022-01-06T06:52:18Z
ddc:
- '000'
department:
- _id: '276'
file:
- access_level: closed
content_type: application/pdf
creator: abursig
date_created: 2019-11-29T15:06:55Z
date_updated: 2019-11-29T15:06:55Z
file_id: '15224'
file_name: wi2020_revision.pdf
file_size: 141981
relation: main_file
success: 1
file_date_updated: 2019-11-29T15:06:55Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '8'
name: SFB 901 - Subproject A4
publication: Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020
(WI)
status: public
title: Nudging in Judging- Differences in Online Rating Behavior for Utilitarian and
Hedonic Service Aspects
type: conference_abstract
user_id: '477'
year: '2020'
...
---
_id: '15211'
author:
- first_name: Daniel
full_name: Szopinski, Daniel
id: '36372'
last_name: Szopinski
- first_name: Thorsten
full_name: Schoormann, Thorsten
last_name: Schoormann
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
citation:
ama: 'Szopinski D, Schoormann T, Kundisch D. Visualize different: Towards researching
the fit between taxonomy visualizations and taxonomy tasks. In: Tagungsband
Der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI). ; 2020.'
apa: 'Szopinski, D., Schoormann, T., & Kundisch, D. (2020). Visualize different:
Towards researching the fit between taxonomy visualizations and taxonomy tasks.
In Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI).
Potsdam, Germany.'
bibtex: '@inproceedings{Szopinski_Schoormann_Kundisch_2020, title={Visualize different:
Towards researching the fit between taxonomy visualizations and taxonomy tasks},
booktitle={Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020
(WI)}, author={Szopinski, Daniel and Schoormann, Thorsten and Kundisch, Dennis},
year={2020} }'
chicago: 'Szopinski, Daniel, Thorsten Schoormann, and Dennis Kundisch. “Visualize
Different: Towards Researching the Fit between Taxonomy Visualizations and Taxonomy
Tasks.” In Tagungsband Der 15. Internationalen Tagung Wirtschaftsinformatik
2020 (WI), 2020.'
ieee: 'D. Szopinski, T. Schoormann, and D. Kundisch, “Visualize different: Towards
researching the fit between taxonomy visualizations and taxonomy tasks,” in Tagungsband
der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI), Potsdam, Germany,
2020.'
mla: 'Szopinski, Daniel, et al. “Visualize Different: Towards Researching the Fit
between Taxonomy Visualizations and Taxonomy Tasks.” Tagungsband Der 15. Internationalen
Tagung Wirtschaftsinformatik 2020 (WI), 2020.'
short: 'D. Szopinski, T. Schoormann, D. Kundisch, in: Tagungsband Der 15. Internationalen
Tagung Wirtschaftsinformatik 2020 (WI), 2020.'
conference:
location: Potsdam, Germany
name: 15. Internationale Tagung Wirtschaftsinformatik 2020 (WI)
date_created: 2019-11-28T15:18:08Z
date_updated: 2022-01-06T06:52:18Z
ddc:
- '000'
department:
- _id: '276'
file:
- access_level: closed
content_type: application/pdf
creator: abursig
date_created: 2019-11-28T15:17:11Z
date_updated: 2019-11-28T15:17:11Z
file_id: '15212'
file_name: WI2020_TaxonomyVisualization_RevisedManuscript_vFinal.pdf
file_size: 228874
relation: main_file
success: 1
file_date_updated: 2019-11-28T15:17:11Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
publication: Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020
(WI)
status: public
title: 'Visualize different: Towards researching the fit between taxonomy visualizations
and taxonomy tasks'
type: conference_abstract
user_id: '477'
year: '2020'
...
---
_id: '15225'
author:
- first_name: Martin
full_name: Poniatowski, Martin
id: '32441'
last_name: Poniatowski
- first_name: Jürgen
full_name: Neumann, Jürgen
id: '32456'
last_name: Neumann
citation:
ama: 'Poniatowski M, Neumann J. You Write What You Are - Exploring the Relationship
between Online Reviewers’ Personality Traits and Their Reviewing Behavior. In:
Tagungsband Der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI).
; 2020.'
apa: Poniatowski, M., & Neumann, J. (2020). You Write What You Are - Exploring
the Relationship between Online Reviewers’ Personality Traits and Their Reviewing
Behavior. In Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik
2020 (WI). Potsdam, Germany.
bibtex: '@inproceedings{Poniatowski_Neumann_2020, title={You Write What You Are
- Exploring the Relationship between Online Reviewers’ Personality Traits and
Their Reviewing Behavior}, booktitle={Tagungsband der 15. Internationalen Tagung
Wirtschaftsinformatik 2020 (WI)}, author={Poniatowski, Martin and Neumann, Jürgen},
year={2020} }'
chicago: Poniatowski, Martin, and Jürgen Neumann. “You Write What You Are - Exploring
the Relationship between Online Reviewers’ Personality Traits and Their Reviewing
Behavior.” In Tagungsband Der 15. Internationalen Tagung Wirtschaftsinformatik
2020 (WI), 2020.
ieee: M. Poniatowski and J. Neumann, “You Write What You Are - Exploring the Relationship
between Online Reviewers’ Personality Traits and Their Reviewing Behavior,” in
Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI),
Potsdam, Germany, 2020.
mla: Poniatowski, Martin, and Jürgen Neumann. “You Write What You Are - Exploring
the Relationship between Online Reviewers’ Personality Traits and Their Reviewing
Behavior.” Tagungsband Der 15. Internationalen Tagung Wirtschaftsinformatik
2020 (WI), 2020.
short: 'M. Poniatowski, J. Neumann, in: Tagungsband Der 15. Internationalen Tagung
Wirtschaftsinformatik 2020 (WI), 2020.'
conference:
location: Potsdam, Germany
name: 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI)
date_created: 2019-11-29T15:12:18Z
date_updated: 2022-01-06T06:52:19Z
ddc:
- '000'
department:
- _id: '276'
file:
- access_level: closed
content_type: application/pdf
creator: abursig
date_created: 2019-12-02T10:29:41Z
date_updated: 2019-12-02T10:29:41Z
file_id: '15236'
file_name: RiP - Flexible Template - Revision_FINAL.pdf
file_size: 474517
relation: main_file
success: 1
file_date_updated: 2019-12-02T10:29:41Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '8'
name: SFB 901 - Subproject A4
publication: Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020
(WI)
status: public
title: You Write What You Are - Exploring the Relationship between Online Reviewers'
Personality Traits and Their Reviewing Behavior
type: conference_abstract
user_id: '477'
year: '2020'
...
---
_id: '15256'
abstract:
- lang: eng
text: This paper deals with online customer reviews of local multi-service providers.
While many studies investigate product reviews and online labour markets with
service providers delivering intangible products “over the wire”, we focus on
websites where providers offer multiple distinct services that can be booked,
paid and reviewed online but are performed locally offline. This type of service
providers has so far been neglected in the literature. This paper analyses reviews
and applies sentiment analysis. It aims to gain new insights into local multi-service
providers’ performance. There is a broad literature range presented with regard
to the topics addressed. The results show, among other things, that providers
with good ratings continue to perform well over time. We find that many positive
reviews seem to encourage sales. On average, quantitative star ratings and qualitative
ratings in the form of review texts match. Further results are also achieved in
this study.
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. What Reviews in Local Online Labour Markets Reveal
about the Performance of Multi-Service Providers. In: Proceedings of the 9th
International Conference on Pattern Recognition Applications and Methods.
Setúbal, Portugal: SCITEPRESS; 2020:263--272.'
apa: 'Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers. In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods
(pp. 263--272). Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={What
Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service
Providers}, booktitle={Proceedings of the 9th International Conference on Pattern
Recognition Applications and Methods}, publisher={SCITEPRESS}, author={Kersting,
Joschka and Geierhos, Michaela}, year={2020}, pages={263--272} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online
Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
263--272. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets
Reveal about the Performance of Multi-Service Providers,” in Proceedings of
the 9th International Conference on Pattern Recognition Applications and Methods,
Valetta, Malta, 2020, pp. 263--272.
mla: Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers.” Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
SCITEPRESS, 2020, pp. 263--272.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal,
2020, pp. 263--272.'
conference:
location: Valetta, Malta
name: International Conference on Pattern Recognition Applications and Methods (ICPRAM)
date_created: 2019-12-06T13:09:42Z
date_updated: 2022-01-06T06:52:19Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:41Z
date_updated: 2020-09-18T09:27:41Z
file_id: '19577'
file_name: Kersting & Geierhos (2020c), Kersting2020c.pdf
file_size: 963370
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:41Z
has_accepted_license: '1'
keyword:
- Customer Reviews
- Sentiment Analysis
- Online Labour Markets
language:
- iso: eng
page: 263--272
place: Setúbal, Portugal
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 9th International Conference on Pattern Recognition
Applications and Methods
publisher: SCITEPRESS
status: public
title: What Reviews in Local Online Labour Markets Reveal about the Performance of
Multi-Service Providers
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '16219'
abstract:
- lang: eng
text: "Network function virtualization (NFV) proposes\r\nto replace physical middleboxes
with more flexible virtual\r\nnetwork functions (VNFs). To dynamically adjust
to everchanging\r\ntraffic demands, VNFs have to be instantiated and\r\ntheir
allocated resources have to be adjusted on demand.\r\nDeciding the amount of allocated
resources is non-trivial.\r\nExisting optimization approaches often assume fixed
resource\r\nrequirements for each VNF instance. However, this can easily\r\nlead
to either waste of resources or bad service quality if too\r\nmany or too few
resources are allocated.\r\n\r\nTo solve this problem, we train machine learning
models\r\non real VNF data, containing measurements of performance\r\nand resource
requirements. For each VNF, the trained models\r\ncan then accurately predict
the required resources to handle\r\na certain traffic load. We integrate these
machine learning\r\nmodels into an algorithm for joint VNF scaling and placement\r\nand
evaluate their impact on resulting VNF placements. Our\r\nevaluation based on
real-world data shows that using suitable\r\nmachine learning models effectively
avoids over- and underallocation\r\nof resources, leading to up to 12 times lower
resource\r\nconsumption and better service quality with up to 4.5 times\r\nlower
total delay than using standard fixed resource allocation."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Narayanan Puthenpurayil
full_name: Satheeschandran, Narayanan Puthenpurayil
last_name: Satheeschandran
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Schneider SB, Satheeschandran NP, Peuster M, Karl H. Machine Learning for
Dynamic Resource Allocation in Network Function Virtualization. In: IEEE Conference
on Network Softwarization (NetSoft). IEEE; 2020.'
apa: 'Schneider, S. B., Satheeschandran, N. P., Peuster, M., & Karl, H. (2020).
Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.
In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium:
IEEE.'
bibtex: '@inproceedings{Schneider_Satheeschandran_Peuster_Karl_2020, title={Machine
Learning for Dynamic Resource Allocation in Network Function Virtualization},
booktitle={IEEE Conference on Network Softwarization (NetSoft)}, publisher={IEEE},
author={Schneider, Stefan Balthasar and Satheeschandran, Narayanan Puthenpurayil
and Peuster, Manuel and Karl, Holger}, year={2020} }'
chicago: Schneider, Stefan Balthasar, Narayanan Puthenpurayil Satheeschandran, Manuel
Peuster, and Holger Karl. “Machine Learning for Dynamic Resource Allocation in
Network Function Virtualization.” In IEEE Conference on Network Softwarization
(NetSoft). IEEE, 2020.
ieee: S. B. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl, “Machine
Learning for Dynamic Resource Allocation in Network Function Virtualization,”
in IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium,
2020.
mla: Schneider, Stefan Balthasar, et al. “Machine Learning for Dynamic Resource
Allocation in Network Function Virtualization.” IEEE Conference on Network
Softwarization (NetSoft), IEEE, 2020.
short: 'S.B. Schneider, N.P. Satheeschandran, M. Peuster, H. Karl, in: IEEE Conference
on Network Softwarization (NetSoft), IEEE, 2020.'
conference:
location: Ghent, Belgium
name: IEEE Conference on Network Softwarization (NetSoft)
date_created: 2020-03-03T11:42:22Z
date_updated: 2022-01-06T06:52:46Z
ddc:
- '000'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2020-03-03T11:42:16Z
date_updated: 2020-03-03T11:42:16Z
file_id: '16220'
file_name: ris_preprint.pdf
file_size: 476590
relation: main_file
file_date_updated: 2020-03-03T11:42:16Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Softwarization (NetSoft)
publisher: IEEE
status: public
title: Machine Learning for Dynamic Resource Allocation in Network Function Virtualization
type: conference
user_id: '35343'
year: '2020'
...
---
_id: '16334'
abstract:
- lang: eng
text: We analyze the actual behavior of agents in a matching mechanism, using data
from a clearinghouse at the Faculty of Business Administration and Economics at
a German university, where a variant of the Boston mechanism is used. We supplement
this data with data generated in a survey among the students who participated
in the clearinghouse. We find that under the current mechanism over 74% of students
act strategically by misrepresenting at least one of their preferences. Nevertheless,
not all students are able to improve their outcome by doing so. We show that this
is mainly due to the incomplete information of students and naiveté. Sophisticated
students actually reach significantly better outcomes than naive students. Thus,
we find evidence that naive students are exploited by sophisticated students in
an incomplete information setting.
article_type: original
author:
- first_name: Britta
full_name: Hoyer, Britta
id: '42447'
last_name: Hoyer
- first_name: Nadja
full_name: Stroh-Maraun, Nadja
id: '13264'
last_name: Stroh-Maraun
citation:
ama: Hoyer B, Stroh-Maraun N. Matching Strategies of Heterogeneous Agents under
Incomplete Information in a University Clearinghouse. Games and Economic Behavior.
2020;121:453-481. doi:10.1016/j.geb.2020.03.006
apa: Hoyer, B., & Stroh-Maraun, N. (2020). Matching Strategies of Heterogeneous
Agents under Incomplete Information in a University Clearinghouse. Games and
Economic Behavior, 121, 453–481. https://doi.org/10.1016/j.geb.2020.03.006
bibtex: '@article{Hoyer_Stroh-Maraun_2020, title={Matching Strategies of Heterogeneous
Agents under Incomplete Information in a University Clearinghouse}, volume={121},
DOI={10.1016/j.geb.2020.03.006},
journal={Games and Economic Behavior}, author={Hoyer, Britta and Stroh-Maraun,
Nadja}, year={2020}, pages={453–481} }'
chicago: 'Hoyer, Britta, and Nadja Stroh-Maraun. “Matching Strategies of Heterogeneous
Agents under Incomplete Information in a University Clearinghouse.” Games and
Economic Behavior 121 (2020): 453–81. https://doi.org/10.1016/j.geb.2020.03.006.'
ieee: B. Hoyer and N. Stroh-Maraun, “Matching Strategies of Heterogeneous Agents
under Incomplete Information in a University Clearinghouse,” Games and Economic
Behavior, vol. 121, pp. 453–481, 2020.
mla: Hoyer, Britta, and Nadja Stroh-Maraun. “Matching Strategies of Heterogeneous
Agents under Incomplete Information in a University Clearinghouse.” Games and
Economic Behavior, vol. 121, 2020, pp. 453–81, doi:10.1016/j.geb.2020.03.006.
short: B. Hoyer, N. Stroh-Maraun, Games and Economic Behavior 121 (2020) 453–481.
date_created: 2020-03-24T08:05:53Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '280'
- _id: '475'
- _id: '205'
- _id: '368'
doi: 10.1016/j.geb.2020.03.006
intvolume: ' 121'
language:
- iso: eng
page: 453 - 481
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '7'
name: SFB 901 - Subproject A3
publication: Games and Economic Behavior
publication_status: published
status: public
title: Matching Strategies of Heterogeneous Agents under Incomplete Information in
a University Clearinghouse
type: journal_article
user_id: '42447'
volume: 121
year: '2020'
...
---
_id: '16363'
author:
- first_name: Tim
full_name: Hansmeier, Tim
id: '49992'
last_name: Hansmeier
orcid: 0000-0003-1377-3339
- first_name: Paul
full_name: Kaufmann, Paul
last_name: Kaufmann
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Hansmeier T, Kaufmann P, Platzner M. Enabling XCSF to Cope with Dynamic Environments
via an Adaptive Error Threshold. In: GECCO ’20: Proceedings of the Genetic
and Evolutionary Computation Conference Companion. New York, NY, United States:
Association for Computing Machinery (ACM); 2020:125-126. doi:10.1145/3377929.3389968'
apa: 'Hansmeier, T., Kaufmann, P., & Platzner, M. (2020). Enabling XCSF to Cope
with Dynamic Environments via an Adaptive Error Threshold. In GECCO ’20: Proceedings
of the Genetic and Evolutionary Computation Conference Companion (pp. 125–126).
New York, NY, United States: Association for Computing Machinery (ACM). https://doi.org/10.1145/3377929.3389968'
bibtex: '@inproceedings{Hansmeier_Kaufmann_Platzner_2020, place={New York, NY, United
States}, title={Enabling XCSF to Cope with Dynamic Environments via an Adaptive
Error Threshold}, DOI={10.1145/3377929.3389968},
booktitle={GECCO ’20: Proceedings of the Genetic and Evolutionary Computation
Conference Companion}, publisher={Association for Computing Machinery (ACM)},
author={Hansmeier, Tim and Kaufmann, Paul and Platzner, Marco}, year={2020}, pages={125–126}
}'
chicago: 'Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “Enabling XCSF to Cope
with Dynamic Environments via an Adaptive Error Threshold.” In GECCO ’20: Proceedings
of the Genetic and Evolutionary Computation Conference Companion, 125–26.
New York, NY, United States: Association for Computing Machinery (ACM), 2020.
https://doi.org/10.1145/3377929.3389968.'
ieee: 'T. Hansmeier, P. Kaufmann, and M. Platzner, “Enabling XCSF to Cope with Dynamic
Environments via an Adaptive Error Threshold,” in GECCO ’20: Proceedings of
the Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico,
2020, pp. 125–126.'
mla: 'Hansmeier, Tim, et al. “Enabling XCSF to Cope with Dynamic Environments via
an Adaptive Error Threshold.” GECCO ’20: Proceedings of the Genetic and Evolutionary
Computation Conference Companion, Association for Computing Machinery (ACM),
2020, pp. 125–26, doi:10.1145/3377929.3389968.'
short: 'T. Hansmeier, P. Kaufmann, M. Platzner, in: GECCO ’20: Proceedings of the
Genetic and Evolutionary Computation Conference Companion, Association for Computing
Machinery (ACM), New York, NY, United States, 2020, pp. 125–126.'
conference:
end_date: 2020-07-12
location: Cancún, Mexico
name: The Genetic and Evolutionary Computation Conference (GECCO 2020)
start_date: 2020-07-08
date_created: 2020-04-02T10:07:10Z
date_updated: 2022-01-06T06:52:49Z
department:
- _id: '78'
doi: 10.1145/3377929.3389968
language:
- iso: eng
page: 125-126
place: New York, NY, United States
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: SFB 901
- _id: '14'
name: SFB 901 - Subproject C2
publication: 'GECCO ''20: Proceedings of the Genetic and Evolutionary Computation
Conference Companion'
publication_identifier:
isbn:
- 978-1-4503-7127-8
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold
type: conference
user_id: '477'
year: '2020'
...
---
_id: '16400'
abstract:
- lang: eng
text: "Softwarization facilitates the introduction of smart\r\nmanufacturing applications
in the industry. Manifold devices\r\nsuch as machine computers, Industrial IoT
devices, tablets,\r\nsmartphones and smart glasses are integrated into factory
networks\r\nto enable shop floor digitalization and big data analysis. To\r\nhandle
the increasing number of devices and the resulting traffic,\r\na flexible and
scalable factory network is necessary which can be\r\nrealized using softwarization
technologies like Network Function\r\nVirtualization (NFV). However, the security
risks increase with\r\nthe increasing number of new devices, so that cyber security
must\r\nalso be considered in NFV-based networks.\r\n\r\nTherefore, extending
our previous work, we showcase threat\r\ndetection using a cloud-native NFV-driven
intrusion detection\r\nsystem (IDS) that is integrated in our industrial-specific
network\r\nservices. As a result of the threat detection, the affected network\r\nservice
is put into quarantine via automatic network reconfiguration.\r\nWe use the 5GTANGO
service platform to deploy our\r\ndeveloped network services on Kubernetes and
to initiate the\r\nnetwork reconfiguration."
author:
- first_name: Marcel
full_name: Müller, Marcel
last_name: Müller
- first_name: Daniel
full_name: Behnke, Daniel
last_name: Behnke
- first_name: Patrick-Benjamin
full_name: Bök, Patrick-Benjamin
last_name: Bök
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Manuel
full_name: Peuster, Manuel
id: '13271'
last_name: Peuster
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Cloud-Native
Threat Detection and Containment for Smart Manufacturing. In: IEEE Conference
on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE; 2020.'
apa: 'Müller, M., Behnke, D., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl,
H. (2020). Cloud-Native Threat Detection and Containment for Smart Manufacturing.
In IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent,
Belgium: IEEE.'
bibtex: '@inproceedings{Müller_Behnke_Bök_Schneider_Peuster_Karl_2020, place={Ghent,
Belgium}, title={Cloud-Native Threat Detection and Containment for Smart Manufacturing},
booktitle={IEEE Conference on Network Softwarization (NetSoft) Demo Track}, publisher={IEEE},
author={Müller, Marcel and Behnke, Daniel and Bök, Patrick-Benjamin and Schneider,
Stefan Balthasar and Peuster, Manuel and Karl, Holger}, year={2020} }'
chicago: 'Müller, Marcel, Daniel Behnke, Patrick-Benjamin Bök, Stefan Balthasar
Schneider, Manuel Peuster, and Holger Karl. “Cloud-Native Threat Detection and
Containment for Smart Manufacturing.” In IEEE Conference on Network Softwarization
(NetSoft) Demo Track. Ghent, Belgium: IEEE, 2020.'
ieee: M. Müller, D. Behnke, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl,
“Cloud-Native Threat Detection and Containment for Smart Manufacturing,” in IEEE
Conference on Network Softwarization (NetSoft) Demo Track, Ghent, Belgium,
2020.
mla: Müller, Marcel, et al. “Cloud-Native Threat Detection and Containment for Smart
Manufacturing.” IEEE Conference on Network Softwarization (NetSoft) Demo Track,
IEEE, 2020.
short: 'M. Müller, D. Behnke, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in:
IEEE Conference on Network Softwarization (NetSoft) Demo Track, IEEE, Ghent, Belgium,
2020.'
conference:
location: Ghent, Belgium
name: IEEE Conference on Network Softwarization (NetSoft) Demo Track
date_created: 2020-04-03T11:53:00Z
date_updated: 2022-01-06T06:52:50Z
department:
- _id: '75'
language:
- iso: eng
place: Ghent, Belgium
project:
- _id: '28'
grant_number: '761493'
name: 5G Development and validation platform for global industry-specific network
services and Apps
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '16'
name: SFB 901 - Subproject C4
publication: IEEE Conference on Network Softwarization (NetSoft) Demo Track
publisher: IEEE
status: public
title: Cloud-Native Threat Detection and Containment for Smart Manufacturing
type: conference
user_id: '35343'
year: '2020'
...