---
_id: '10263'
citation:
ama: 'Kaminka GA, Fox M, Bouquet P, et al., eds. ECAI 2016, 22nd European Conference
on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial
Intelligence. Vol 285. The Hague, The Netherlands: IOS Press; 2016.'
apa: 'Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum,
F., & van Harmelen, F. (Eds.). (2016). ECAI 2016, 22nd European Conference
on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial
Intelligence (Vol. 285). The Hague, The Netherlands: IOS Press.'
bibtex: '@book{Kaminka_Fox_Bouquet_Hüllermeier_Dignum_Dignum_van Harmelen_2016,
place={The Hague, The Netherlands}, series={Frontiers in Artificial Intelligence
and Applications, The Hague, The Netherlands}, title={ECAI 2016, 22nd European
Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications
of Artificial Intelligence}, volume={285}, publisher={IOS Press}, year={2016},
collection={Frontiers in Artificial Intelligence and Applications, The Hague,
The Netherlands} }'
chicago: 'Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum,
and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial
Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence.
Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The
Netherlands. The Hague, The Netherlands: IOS Press, 2016.'
ieee: 'G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference
on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial
Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.'
mla: Kaminka, G. A., et al., editors. ECAI 2016, 22nd European Conference on
Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial
Intelligence. Vol. 285, IOS Press, 2016.
short: G.A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F.
van Harmelen, eds., ECAI 2016, 22nd European Conference on Artificial Intelligence,
Including PAIS 2016, Prestigious Applications of Artificial Intelligence, IOS
Press, The Hague, The Netherlands, 2016.
date_created: 2019-06-18T15:07:10Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: G.A.
full_name: Kaminka, G.A.
last_name: Kaminka
- first_name: M.
full_name: Fox, M.
last_name: Fox
- first_name: P.
full_name: Bouquet, P.
last_name: Bouquet
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: V.
full_name: Dignum, V.
last_name: Dignum
- first_name: F.
full_name: Dignum, F.
last_name: Dignum
- first_name: F.
full_name: van Harmelen, F.
last_name: van Harmelen
intvolume: ' 285'
language:
- iso: eng
place: The Hague, The Netherlands
publisher: IOS Press
series_title: Frontiers in Artificial Intelligence and Applications, The Hague, The
Netherlands
status: public
title: ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS
2016, Prestigious Applications of Artificial Intelligence
type: conference_editor
user_id: '49109'
volume: 285
year: '2016'
...
---
_id: '10264'
author:
- first_name: M.
full_name: Leinweber, M.
last_name: Leinweber
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: L.
full_name: Baumgärtner, L.
last_name: Baumgärtner
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
- first_name: B.
full_name: Freisleben, B.
last_name: Freisleben
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large
scale comparison of protein binding sites. IEEE Transactions on Knowledge and
Data Engineering. 2016;28(6):1423-1434.'
apa: 'Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben,
B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison
of protein binding sites. IEEE Transactions on Knowledge and Data Engineering,
28(6), 1423–1434.'
bibtex: '@article{Leinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016,
title={CavSimBase: A database for large scale comparison of protein binding sites},
volume={28}, number={6}, journal={IEEE Transactions on Knowledge and Data Engineering},
author={Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and
Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}, year={2016}, pages={1423–1434}
}'
chicago: 'Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein
Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28,
no. 6 (2016): 1423–34.'
ieee: 'M. Leinweber et al., “CavSimBase: A database for large scale comparison
of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, pp. 1423–1434, 2016.'
mla: 'Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of
Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, 2016, pp. 1423–34.'
short: M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016)
1423–1434.
date_created: 2019-06-18T15:29:05Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 28'
issue: '6'
language:
- iso: eng
page: 1423-1434
publication: IEEE Transactions on Knowledge and Data Engineering
status: public
title: 'CavSimBase: A database for large scale comparison of protein binding sites'
type: journal_article
user_id: '49109'
volume: 28
year: '2016'
...
---
_id: '10266'
author:
- first_name: M.
full_name: Riemenschneider, M.
last_name: Riemenschneider
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: U.
full_name: Neumann, U.
last_name: Neumann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: D.
full_name: Heider, D.
last_name: Heider
citation:
ama: Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification. BioData
Mining. 2016;9(10).
apa: Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., & Heider,
D. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance
information for improved drug resistance prediction by means of multi-label classification.
BioData Mining, 9(10).
bibtex: '@article{Riemenschneider_Senge_Neumann_Hüllermeier_Heider_2016, title={Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification}, volume={9},
number={10}, journal={BioData Mining}, author={Riemenschneider, M. and Senge,
Robin and Neumann, U. and Hüllermeier, Eyke and Heider, D.}, year={2016} }'
chicago: Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D.
Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance
Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.”
BioData Mining 9, no. 10 (2016).
ieee: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification,” BioData
Mining, vol. 9, no. 10, 2016.
mla: Riemenschneider, M., et al. “Exploiting HIV-1 Protease and Reverse Transcriptase
Cross-Resistance Information for Improved Drug Resistance Prediction by Means
of Multi-Label Classification.” BioData Mining, vol. 9, no. 10, 2016.
short: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, D. Heider, BioData
Mining 9 (2016).
date_created: 2019-06-18T15:37:19Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 9'
issue: '10'
language:
- iso: eng
publication: BioData Mining
status: public
title: Exploiting HIV-1 protease and reverse transcriptase cross-resistance information
for improved drug resistance prediction by means of multi-label classification
type: journal_article
user_id: '49109'
volume: 9
year: '2016'
...
---
_id: '280'
abstract:
- lang: eng
text: The Collaborative Research Centre "On-The-Fly Computing" works on foundations
and principles for the vision of the Future Internet. It proposes the paradigm
of On-The-Fly Computing, which tackles emerging worldwide service markets. In
these markets, service providers trade software, platform, and infrastructure
as a service. Service requesters state requirements on services. To satisfy these
requirements, the new role of brokers, who are (human) actors building service
compositions on the fly, is introduced. Brokers have to specify service compositions
formally and comprehensively using a domain-specific language (DSL), and to use
service matching for the discovery of the constituent services available in the
market. The broker's choice of the DSL and matching approaches influences her
success of building compositions as distinctive properties of different service
markets play a significant role. In this paper, we propose a new approach of engineering
a situation-specific DSL by customizing a comprehensive, modular DSL and its matching
for given service market properties. This enables the broker to create market-specific
composition specifications and to perform market-specific service matching. As
a result, the broker builds service compositions satisfying the requester's requirements
more accurately. We evaluated the presented concepts using case studies in service
markets for tourism and university management.
author:
- first_name: Svetlana
full_name: Arifulina, Svetlana
last_name: Arifulina
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Wilhelm
full_name: Schäfer, Wilhelm
last_name: Schäfer
citation:
ama: 'Arifulina S, Platenius MC, Mohr F, Engels G, Schäfer W. Market-Specific Service
Compositions: Specification and Matching. In: Proceedings of the IEEE 11th
World Congress on Services (SERVICES), Visionary Track: Service Composition for
the Future Internet. ; 2015:333--340. doi:10.1109/SERVICES.2015.58'
apa: 'Arifulina, S., Platenius, M. C., Mohr, F., Engels, G., & Schäfer, W. (2015).
Market-Specific Service Compositions: Specification and Matching. In Proceedings
of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service
Composition for the Future Internet (pp. 333--340). https://doi.org/10.1109/SERVICES.2015.58'
bibtex: '@inproceedings{Arifulina_Platenius_Mohr_Engels_Schäfer_2015, title={Market-Specific
Service Compositions: Specification and Matching}, DOI={10.1109/SERVICES.2015.58},
booktitle={Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet}, author={Arifulina,
Svetlana and Platenius, Marie Christin and Mohr, Felix and Engels, Gregor and
Schäfer, Wilhelm}, year={2015}, pages={333--340} }'
chicago: 'Arifulina, Svetlana, Marie Christin Platenius, Felix Mohr, Gregor Engels,
and Wilhelm Schäfer. “Market-Specific Service Compositions: Specification and
Matching.” In Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet, 333--340, 2015.
https://doi.org/10.1109/SERVICES.2015.58.'
ieee: 'S. Arifulina, M. C. Platenius, F. Mohr, G. Engels, and W. Schäfer, “Market-Specific
Service Compositions: Specification and Matching,” in Proceedings of the IEEE
11th World Congress on Services (SERVICES), Visionary Track: Service Composition
for the Future Internet, 2015, pp. 333--340.'
mla: 'Arifulina, Svetlana, et al. “Market-Specific Service Compositions: Specification
and Matching.” Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet, 2015, pp. 333--340,
doi:10.1109/SERVICES.2015.58.'
short: 'S. Arifulina, M.C. Platenius, F. Mohr, G. Engels, W. Schäfer, in: Proceedings
of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service
Composition for the Future Internet, 2015, pp. 333--340.'
date_created: 2017-10-17T12:41:46Z
date_updated: 2022-01-06T06:57:49Z
ddc:
- '040'
department:
- _id: '66'
- _id: '76'
- _id: '355'
doi: 10.1109/SERVICES.2015.58
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T09:26:04Z
date_updated: 2018-03-21T09:26:04Z
file_id: '1470'
file_name: 280-07196546.pdf
file_size: 234260
relation: main_file
success: 1
file_date_updated: 2018-03-21T09:26:04Z
has_accepted_license: '1'
language:
- iso: eng
page: 333--340
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '3'
name: SFB 901 - Project Area B
publication: 'Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet'
status: public
title: 'Market-Specific Service Compositions: Specification and Matching'
type: conference
user_id: '477'
year: '2015'
...
---
_id: '323'
abstract:
- lang: eng
text: On-the-fly composition of service-based software solutions is still a challenging
task. Even more challenges emerge when facing automatic service composition in
markets of composed services for end users. In this paper, we focus on the functional
discrepancy between “what a user wants” specified in terms of a request and “what
a user gets” when executing a composed service. To meet the challenge of functional
discrepancy, we propose the combination of existing symbolic composition approaches
with machine learning techniques. We developed a learning recommendation system
that expands the capabilities of existing composition algorithms to facilitate
adaptivity and consequently reduces functional discrepancy. As a representative
of symbolic techniques, an Artificial Intelligence planning based approach produces
solutions that are correct with respect to formal specifications. Our learning
recommendation system supports the symbolic approach in decision-making. Reinforcement
Learning techniques enable the recommendation system to adjust its recommendation
strategy over time based on user ratings. We implemented the proposed functionality
in terms of a prototypical composition framework. Preliminary results from experiments
conducted in the image processing domain illustrate the benefit of combining both
complementary techniques.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: Jungmann A, Mohr F. An approach towards adaptive service composition in markets
of composed services. Journal of Internet Services and Applications. 2015;(1):1-18.
doi:10.1186/s13174-015-0022-8
apa: Jungmann, A., & Mohr, F. (2015). An approach towards adaptive service composition
in markets of composed services. Journal of Internet Services and Applications,
(1), 1–18. https://doi.org/10.1186/s13174-015-0022-8
bibtex: '@article{Jungmann_Mohr_2015, title={An approach towards adaptive service
composition in markets of composed services}, DOI={10.1186/s13174-015-0022-8},
number={1}, journal={Journal of Internet Services and Applications}, publisher={Springer},
author={Jungmann, Alexander and Mohr, Felix}, year={2015}, pages={1–18} }'
chicago: 'Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1 (2015): 1–18. https://doi.org/10.1186/s13174-015-0022-8.'
ieee: A. Jungmann and F. Mohr, “An approach towards adaptive service composition
in markets of composed services,” Journal of Internet Services and Applications,
no. 1, pp. 1–18, 2015.
mla: Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1, Springer, 2015, pp. 1–18, doi:10.1186/s13174-015-0022-8.
short: A. Jungmann, F. Mohr, Journal of Internet Services and Applications (2015)
1–18.
date_created: 2017-10-17T12:41:55Z
date_updated: 2022-01-06T06:59:06Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1186/s13174-015-0022-8
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:39:17Z
date_updated: 2018-03-20T07:39:17Z
file_id: '1429'
file_name: 323-An_approach_towards_adaptive_service_composition_in_markets_of_composed_services.pdf
file_size: 2842281
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:39:17Z
has_accepted_license: '1'
issue: '1'
language:
- iso: eng
page: 1-18
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Journal of Internet Services and Applications
publisher: Springer
status: public
title: An approach towards adaptive service composition in markets of composed services
type: journal_article
user_id: '477'
year: '2015'
...
---
_id: '324'
abstract:
- lang: eng
text: Services are self-contained software components that can beused platform independent
and that aim at maximizing software reuse. Abasic concern in service oriented
architectures is to measure the reusabilityof services. One of the most important
qualities is the functionalreusability, which indicates how relevant the task
is that a service solves.Current metrics for functional reusability of software,
however, have verylittle explanatory power and do not accomplish this goal.This
paper presents a new approach to estimate the functional reusabilityof services
based on their relevance. To this end, it denes the degreeto which a service enables
the execution of other services as its contri-bution. Based on the contribution,
relevance of services is dened as anestimation for their functional reusability.
Explanatory power is obtainedby normalizing relevance values with a reference
service. The applicationof the metric to a service test set conrms its supposed
capabilities.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: 'Mohr F. A Metric for Functional Reusability of Services. In: Proceedings
of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2015:298--313.
doi:10.1007/978-3-319-14130-5_21'
apa: Mohr, F. (2015). A Metric for Functional Reusability of Services. In Proceedings
of the 14th International Conference on Software Reuse (ICSR) (pp. 298--313).
https://doi.org/10.1007/978-3-319-14130-5_21
bibtex: '@inproceedings{Mohr_2015, series={LNCS}, title={A Metric for Functional
Reusability of Services}, DOI={10.1007/978-3-319-14130-5_21},
booktitle={Proceedings of the 14th International Conference on Software Reuse
(ICSR)}, author={Mohr, Felix}, year={2015}, pages={298--313}, collection={LNCS}
}'
chicago: Mohr, Felix. “A Metric for Functional Reusability of Services.” In Proceedings
of the 14th International Conference on Software Reuse (ICSR), 298--313. LNCS,
2015. https://doi.org/10.1007/978-3-319-14130-5_21.
ieee: F. Mohr, “A Metric for Functional Reusability of Services,” in Proceedings
of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313.
mla: Mohr, Felix. “A Metric for Functional Reusability of Services.” Proceedings
of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313,
doi:10.1007/978-3-319-14130-5_21.
short: 'F. Mohr, in: Proceedings of the 14th International Conference on Software
Reuse (ICSR), 2015, pp. 298--313.'
date_created: 2017-10-17T12:41:55Z
date_updated: 2022-01-06T06:59:07Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1007/978-3-319-14130-5_21
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:38:44Z
date_updated: 2018-03-20T07:38:44Z
file_id: '1428'
file_name: 324-ICSR-Mohr-15.pdf
file_size: 569475
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:38:44Z
has_accepted_license: '1'
language:
- iso: eng
page: 298--313
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 14th International Conference on Software Reuse (ICSR)
series_title: LNCS
status: public
title: A Metric for Functional Reusability of Services
type: conference
user_id: '477'
year: '2015'
...
---
_id: '319'
abstract:
- lang: eng
text: Services are self-contained and platform independent software components that
aim at maximizing software reuse. The automated composition of services to a target
software artifact has been tackled with many AI techniques, but existing approaches
make unreasonably strong assumptions such as a predefined data flow, are limited
to tiny problem sizes, ignore non-functional properties, or assume offline service
repositories. This paper presents an algorithm that automatically composes services
without making such assumptions. We employ a backward search algorithm that starts
from an empty composition and prepends service calls to already discovered candidates
until a solution is found. Available services are determined during the search
process. We implemented our algorithm, performed an experimental evaluation, and
compared it to other approaches.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
citation:
ama: 'Mohr F, Jungmann A, Kleine Büning H. Automated Online Service Composition.
In: Proceedings of the 12th IEEE International Conference on Services Computing
(SCC). ; 2015:57--64. doi:10.1109/SCC.2015.18'
apa: Mohr, F., Jungmann, A., & Kleine Büning, H. (2015). Automated Online Service
Composition. In Proceedings of the 12th IEEE International Conference on Services
Computing (SCC) (pp. 57--64). https://doi.org/10.1109/SCC.2015.18
bibtex: '@inproceedings{Mohr_Jungmann_Kleine Büning_2015, title={Automated Online
Service Composition}, DOI={10.1109/SCC.2015.18},
booktitle={Proceedings of the 12th IEEE International Conference on Services Computing
(SCC)}, author={Mohr, Felix and Jungmann, Alexander and Kleine Büning, Hans},
year={2015}, pages={57--64} }'
chicago: Mohr, Felix, Alexander Jungmann, and Hans Kleine Büning. “Automated Online
Service Composition.” In Proceedings of the 12th IEEE International Conference
on Services Computing (SCC), 57--64, 2015. https://doi.org/10.1109/SCC.2015.18.
ieee: F. Mohr, A. Jungmann, and H. Kleine Büning, “Automated Online Service Composition,”
in Proceedings of the 12th IEEE International Conference on Services Computing
(SCC), 2015, pp. 57--64.
mla: Mohr, Felix, et al. “Automated Online Service Composition.” Proceedings
of the 12th IEEE International Conference on Services Computing (SCC), 2015,
pp. 57--64, doi:10.1109/SCC.2015.18.
short: 'F. Mohr, A. Jungmann, H. Kleine Büning, in: Proceedings of the 12th IEEE
International Conference on Services Computing (SCC), 2015, pp. 57--64.'
date_created: 2017-10-17T12:41:54Z
date_updated: 2022-01-06T06:59:04Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SCC.2015.18
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:42:03Z
date_updated: 2018-03-20T07:42:03Z
file_id: '1434'
file_name: 319-07207336.pdf
file_size: 345742
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:42:03Z
has_accepted_license: '1'
language:
- iso: eng
page: 57--64
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 12th IEEE International Conference on Services Computing
(SCC)
status: public
title: Automated Online Service Composition
type: conference
user_id: '477'
year: '2015'
...
---
_id: '4792'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning for Classification.
IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033. doi:10.1109/tfuzz.2015.2396078
apa: Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning for
Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
https://doi.org/10.1109/tfuzz.2015.2396078
bibtex: '@article{Senge_Hüllermeier_2015, title={Fast Fuzzy Pattern Tree Learning
for Classification}, volume={23}, DOI={10.1109/tfuzz.2015.2396078},
number={6}, journal={IEEE Transactions on Fuzzy Systems}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Senge, Robin and Hüllermeier,
Eyke}, year={2015}, pages={2024–2033} }'
chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning
for Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015):
2024–33. https://doi.org/10.1109/tfuzz.2015.2396078.'
ieee: R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning for Classification,”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification.”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, Institute of Electrical
and Electronics Engineers (IEEE), 2015, pp. 2024–33, doi:10.1109/tfuzz.2015.2396078.
short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
date_created: 2018-10-22T06:53:37Z
date_updated: 2022-01-06T07:01:22Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.1109/tfuzz.2015.2396078
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T15:53:23Z
date_updated: 2018-11-02T15:53:23Z
file_id: '5316'
file_name: 07018950.pdf
file_size: 732827
relation: main_file
success: 1
file_date_updated: 2018-11-02T15:53:23Z
has_accepted_license: '1'
intvolume: ' 23'
issue: '6'
language:
- iso: eng
page: 2024-2033
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '11'
name: SFB 901 - Subproject B3
publication: IEEE Transactions on Fuzzy Systems
publication_identifier:
issn:
- 1063-6706
- 1941-0034
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Fast Fuzzy Pattern Tree Learning for Classification
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '15406'
author:
- first_name: D.
full_name: Schäfer, D.
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Preference-based meta-learning using dyad ranking:
Recommending algorithms in cold-start situations. In: In Proceedings of the
2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located
ECML/PKDD, Porto, Portugal. ; 2015:110-111.'
apa: 'Schäfer, D., & Hüllermeier, E. (2015). Preference-based meta-learning
using dyad ranking: Recommending algorithms in cold-start situations. In in
Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm
Selection co-located ECML/PKDD, Porto, Portugal (pp. 110–111).'
bibtex: '@inproceedings{Schäfer_Hüllermeier_2015, title={Preference-based meta-learning
using dyad ranking: Recommending algorithms in cold-start situations}, booktitle={in
Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm
Selection co-located ECML/PKDD, Porto, Portugal}, author={Schäfer, D. and Hüllermeier,
Eyke}, year={2015}, pages={110–111} }'
chicago: 'Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using
Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings
of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located
ECML/PKDD, Porto, Portugal, 110–11, 2015.'
ieee: 'D. Schäfer and E. Hüllermeier, “Preference-based meta-learning using dyad
ranking: Recommending algorithms in cold-start situations,” in in Proceedings
of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located
ECML/PKDD, Porto, Portugal, 2015, pp. 110–111.'
mla: 'Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using Dyad
Ranking: Recommending Algorithms in Cold-Start Situations.” In Proceedings
of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located
ECML/PKDD, Porto, Portugal, 2015, pp. 110–11.'
short: 'D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International
Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto,
Portugal, 2015, pp. 110–111.'
date_created: 2019-12-19T16:52:09Z
date_updated: 2022-01-06T06:52:23Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 110-111
publication: in Proceedings of the 2015 international Workshop on Meta-Learning and
Algorithm Selection co-located ECML/PKDD, Porto, Portugal
status: public
title: 'Preference-based meta-learning using dyad ranking: Recommending algorithms
in cold-start situations'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '15749'
author:
- first_name: Adil
full_name: Paul, Adil
last_name: Paul
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Paul A, Hüllermeier E. A cbr approach to the angry birds game. In: In Workshop
Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning,
Frankfurt, Germany. ; 2015:68-77.'
apa: Paul, A., & Hüllermeier, E. (2015). A cbr approach to the angry birds game.
In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based
Reasoning, Frankfurt, Germany (pp. 68–77).
bibtex: '@inproceedings{Paul_Hüllermeier_2015, title={A cbr approach to the angry
birds game}, booktitle={In Workshop Proceedings from ICCBR, 23rd International
Conference on Case-Based Reasoning, Frankfurt, Germany}, author={Paul, Adil and
Hüllermeier, Eyke}, year={2015}, pages={68–77} }'
chicago: Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.”
In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based
Reasoning, Frankfurt, Germany, 68–77, 2015.
ieee: A. Paul and E. Hüllermeier, “A cbr approach to the angry birds game,” in In
Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning,
Frankfurt, Germany, 2015, pp. 68–77.
mla: Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.”
In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based
Reasoning, Frankfurt, Germany, 2015, pp. 68–77.
short: 'A. Paul, E. Hüllermeier, in: In Workshop Proceedings from ICCBR, 23rd International
Conference on Case-Based Reasoning, Frankfurt, Germany, 2015, pp. 68–77.'
date_created: 2020-02-03T14:07:45Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 68-77
publication: In Workshop Proceedings from ICCBR, 23rd International Conference on
Case-Based Reasoning, Frankfurt, Germany
status: public
title: A cbr approach to the angry birds game
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '15750'
author:
- first_name: R.
full_name: Ewerth, R.
last_name: Ewerth
- first_name: A.
full_name: Balz, A.
last_name: Balz
- first_name: J.
full_name: Gehlhaar, J.
last_name: Gehlhaar
- 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, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation
in monocular images: Quantitative versus qualitative approaches. In: Hoffmann
F, Hüllermeier E, eds. In Proceedings 25. Workshop Computational Intelligence,
Dortmund, Germany. KIT Scientific Publishing; 2015:235-240.'
apa: 'Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., & Hüllermeier, E.
(2015). Depth estimation in monocular images: Quantitative versus qualitative
approaches. In F. Hoffmann & E. Hüllermeier (Eds.), In Proceedings 25.
Workshop Computational Intelligence, Dortmund, Germany (pp. 235–240). KIT
Scientific Publishing.'
bibtex: '@inproceedings{Ewerth_Balz_Gehlhaar_Dembczynski_Hüllermeier_2015, title={Depth
estimation in monocular images: Quantitative versus qualitative approaches}, booktitle={In
Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany}, publisher={KIT
Scientific Publishing}, author={Ewerth, R. and Balz, A. and Gehlhaar, J. and Dembczynski,
K. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors},
year={2015}, pages={235–240} }'
chicago: 'Ewerth, R., A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier.
“Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.”
In In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany,
edited by F. Hoffmann and Eyke Hüllermeier, 235–40. KIT Scientific Publishing,
2015.'
ieee: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth
estimation in monocular images: Quantitative versus qualitative approaches,” in
In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany,
2015, pp. 235–240.'
mla: 'Ewerth, R., et al. “Depth Estimation in Monocular Images: Quantitative versus
Qualitative Approaches.” In Proceedings 25. Workshop Computational Intelligence,
Dortmund, Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific
Publishing, 2015, pp. 235–40.'
short: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: F.
Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25. Workshop Computational Intelligence,
Dortmund, Germany, KIT Scientific Publishing, 2015, pp. 235–240.'
date_created: 2020-02-03T14:12:59Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
language:
- iso: eng
page: 235-240
publication: In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany
publisher: KIT Scientific Publishing
status: public
title: 'Depth estimation in monocular images: Quantitative versus qualitative approaches'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '15751'
author:
- first_name: S.
full_name: Lu, S.
last_name: Lu
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation.
In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25th Workshop Computational
Intelligence, Dortmund Germany. KIT Scientific Publishing; 2015:97-104.'
apa: Lu, S., & Hüllermeier, E. (2015). Locally weighted regression through data
imprecisiation. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings
25th Workshop Computational Intelligence, Dortmund Germany (pp. 97–104). KIT
Scientific Publishing.
bibtex: '@inproceedings{Lu_Hüllermeier_2015, title={Locally weighted regression
through data imprecisiation}, booktitle={in Proceedings 25th Workshop Computational
Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Lu,
S. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors},
year={2015}, pages={97–104} }'
chicago: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data
Imprecisiation.” In In Proceedings 25th Workshop Computational Intelligence,
Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 97–104. KIT
Scientific Publishing, 2015.
ieee: S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,”
in in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany,
2015, pp. 97–104.
mla: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.”
In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany,
edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific Publishing, 2015, pp.
97–104.
short: 'S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings
25th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing,
2015, pp. 97–104.'
date_created: 2020-02-03T14:16:31Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
language:
- iso: eng
page: 97-104
publication: in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany
publisher: KIT Scientific Publishing
status: public
title: Locally weighted regression through data imprecisiation
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '16049'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Senge R, Hüllermeier E. Fast fuzzy pattern tree learning for classification
. IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
apa: Senge, R., & Hüllermeier, E. (2015). Fast fuzzy pattern tree learning for
classification . IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
bibtex: '@article{Senge_Hüllermeier_2015, title={Fast fuzzy pattern tree learning
for classification }, volume={23}, number={6}, journal={IEEE Transactions on Fuzzy
Systems}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033}
}'
chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning
for Classification .” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015):
2024–33.'
ieee: R. Senge and E. Hüllermeier, “Fast fuzzy pattern tree learning for classification
,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification
.” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, 2015, pp. 2024–33.
short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
date_created: 2020-02-24T16:15:47Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 23'
issue: '6'
language:
- iso: eng
page: 2024-2033
publication: IEEE Transactions on Fuzzy Systems
status: public
title: 'Fast fuzzy pattern tree learning for classification '
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '16051'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. From knowledge-based to data driven fuzzy modeling: Development,
criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.'
apa: 'Hüllermeier, E. (2015). From knowledge-based to data driven fuzzy modeling:
Development, criticism and alternative directions. Informatik Spektrum,
38(6), 500–509.'
bibtex: '@article{Hüllermeier_2015, title={From knowledge-based to data driven fuzzy
modeling: Development, criticism and alternative directions}, volume={38}, number={6},
journal={Informatik Spektrum}, author={Hüllermeier, Eyke}, year={2015}, pages={500–509}
}'
chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling:
Development, Criticism and Alternative Directions.” Informatik Spektrum
38, no. 6 (2015): 500–509.'
ieee: 'E. Hüllermeier, “From knowledge-based to data driven fuzzy modeling: Development,
criticism and alternative directions,” Informatik Spektrum, vol. 38, no.
6, pp. 500–509, 2015.'
mla: 'Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling: Development,
Criticism and Alternative Directions.” Informatik Spektrum, vol. 38, no.
6, 2015, pp. 500–09.'
short: E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509.
date_created: 2020-02-24T16:19:25Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 38'
issue: '6'
language:
- iso: eng
page: 500-509
publication: Informatik Spektrum
status: public
title: 'From knowledge-based to data driven fuzzy modeling: Development, criticism
and alternative directions'
type: journal_article
user_id: '49109'
volume: 38
year: '2015'
...
---
_id: '16053'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems.
2015;281:292-299.
apa: Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets
and Systems, 281, 292–299.
bibtex: '@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?},
volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015},
pages={292–299} }'
chicago: 'Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy
Sets and Systems 281 (2015): 292–99.'
ieee: E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and
Systems, vol. 281, pp. 292–299, 2015.
mla: Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets
and Systems, vol. 281, 2015, pp. 292–99.
short: E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
date_created: 2020-02-24T16:22:26Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 281'
language:
- iso: eng
page: 292-299
publication: Fuzzy Sets and Systems
status: public
title: Does machine learning need fuzzy logic?
type: journal_article
user_id: '49109'
volume: 281
year: '2015'
...
---
_id: '16058'
author:
- first_name: W.
full_name: Waegeman, W.
last_name: Waegeman
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: A.
full_name: Jachnik, A.
last_name: Jachnik
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-optimality
of F-measure maximizers. Journal of Machine Learning Research. 2015;15:3313-3368.
apa: Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E.
(2015). On the Bayes-optimality of F-measure maximizers. Journal of Machine
Learning Research, 15, 3313–3368.
bibtex: '@article{Waegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title={On
the Bayes-optimality of F-measure maximizers}, volume={15}, journal={Journal of
Machine Learning Research}, author={Waegeman, W. and Dembczynski, K. and Jachnik,
A. and Cheng, W. and Hüllermeier, Eyke}, year={2015}, pages={3313–3368} }'
chicago: 'Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier.
“On the Bayes-Optimality of F-Measure Maximizers.” Journal of Machine Learning
Research 15 (2015): 3313–68.'
ieee: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On
the Bayes-optimality of F-measure maximizers,” Journal of Machine Learning
Research, vol. 15, pp. 3313–3368, 2015.
mla: Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” Journal
of Machine Learning Research, vol. 15, 2015, pp. 3313–68.
short: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, Journal
of Machine Learning Research 15 (2015) 3313–3368.
date_created: 2020-02-24T16:29:58Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 15'
language:
- iso: eng
page: 3313-3368
publication: Journal of Machine Learning Research
status: public
title: On the Bayes-optimality of F-measure maximizers
type: journal_article
user_id: '49109'
volume: 15
year: '2015'
...
---
_id: '16067'
author:
- first_name: A.
full_name: Shaker, A.
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary
data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.'
apa: 'Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning
from non-stationary data streams: Experimental design and case study. Neurocomputing,
150, 250–264.'
bibtex: '@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive
learning from non-stationary data streams: Experimental design and case study},
volume={150}, journal={Neurocomputing}, author={Shaker, A. and Hüllermeier, Eyke},
year={2015}, pages={250–264} }'
chicago: 'Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing
150 (2015): 250–64.'
ieee: 'A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from
non-stationary data streams: Experimental design and case study,” Neurocomputing,
vol. 150, pp. 250–264, 2015.'
mla: 'Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing,
vol. 150, 2015, pp. 250–64.'
short: A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264.
date_created: 2020-02-24T16:42:19Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 150'
language:
- iso: eng
page: 250-264
publication: Neurocomputing
status: public
title: 'Recovery analysis for adaptive learning from non-stationary data streams:
Experimental design and case study'
type: journal_article
user_id: '49109'
volume: 150
year: '2015'
...
---
_id: '10234'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Minor, M.
last_name: Minor
citation:
ama: 'Hüllermeier E, Minor M. Case-Based Reasoning Research and Development . In:
In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR
2015) LNAI 9343. Springer; 2015.'
apa: Hüllermeier, E., & Minor, M. (2015). Case-Based Reasoning Research and
Development . In in Proceedings 23rd International Conference on Case-Based
Reasoning (ICCBR 2015) LNAI 9343. Springer.
bibtex: '@inproceedings{Hüllermeier_Minor_2015, title={Case-Based Reasoning Research
and Development }, booktitle={in Proceedings 23rd International Conference on
Case-Based Reasoning (ICCBR 2015) LNAI 9343}, publisher={Springer}, author={Hüllermeier,
Eyke and Minor, M.}, year={2015} }'
chicago: Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development
.” In In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) LNAI 9343. Springer, 2015.
ieee: E. Hüllermeier and M. Minor, “Case-Based Reasoning Research and Development
,” in in Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) LNAI 9343, 2015.
mla: Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development
.” In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR
2015) LNAI 9343, Springer, 2015.
short: 'E. Hüllermeier, M. Minor, in: In Proceedings 23rd International Conference
on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015.'
date_created: 2019-06-13T12:45:25Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: in Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) LNAI 9343
publisher: Springer
status: public
title: 'Case-Based Reasoning Research and Development '
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10235'
author:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hoffmann F, Hüllermeier E. Proceedings 25. Workshop Computational Intelligence
KIT Scientific Publishing. In: ; 2015.'
apa: Hoffmann, F., & Hüllermeier, E. (2015). Proceedings 25. Workshop Computational
Intelligence KIT Scientific Publishing.
bibtex: '@inproceedings{Hoffmann_Hüllermeier_2015, title={Proceedings 25. Workshop
Computational Intelligence KIT Scientific Publishing}, author={Hoffmann, F. and
Hüllermeier, Eyke}, year={2015} }'
chicago: Hoffmann, F., and Eyke Hüllermeier. “Proceedings 25. Workshop Computational
Intelligence KIT Scientific Publishing,” 2015.
ieee: F. Hoffmann and E. Hüllermeier, “Proceedings 25. Workshop Computational Intelligence
KIT Scientific Publishing,” 2015.
mla: Hoffmann, F., and Eyke Hüllermeier. Proceedings 25. Workshop Computational
Intelligence KIT Scientific Publishing. 2015.
short: 'F. Hoffmann, E. Hüllermeier, in: 2015.'
date_created: 2019-06-13T12:48:18Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
status: public
title: Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10236'
author:
- first_name: A.
full_name: Abdel-Aziz, A.
last_name: Abdel-Aziz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Abdel-Aziz A, Hüllermeier E. Case Base Maintenance in Preference-Based CBR.
In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR
2015). ; 2015:1-14.'
apa: Abdel-Aziz, A., & Hüllermeier, E. (2015). Case Base Maintenance in Preference-Based
CBR. In In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) (pp. 1–14).
bibtex: '@inproceedings{Abdel-Aziz_Hüllermeier_2015, title={Case Base Maintenance
in Preference-Based CBR}, booktitle={In Proceedings 23rd International Conference
on Case-Based Reasoning (ICCBR 2015)}, author={Abdel-Aziz, A. and Hüllermeier,
Eyke}, year={2015}, pages={1–14} }'
chicago: Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based
CBR.” In In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015), 1–14, 2015.
ieee: A. Abdel-Aziz and E. Hüllermeier, “Case Base Maintenance in Preference-Based
CBR,” in In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015), 2015, pp. 1–14.
mla: Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based
CBR.” In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015), 2015, pp. 1–14.
short: 'A. Abdel-Aziz, E. Hüllermeier, in: In Proceedings 23rd International Conference
on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.'
date_created: 2019-06-13T12:53:23Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1-14
publication: In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015)
status: public
title: Case Base Maintenance in Preference-Based CBR
type: conference
user_id: '49109'
year: '2015'
...