---
_id: '457'
abstract:
- lang: eng
text: Automatically composing service-based software solutionsis still a challenging
task. Functional as well as nonfunctionalproperties have to be considered in order
to satisfyindividual user requests. Regarding non-functional properties,the composition
process can be modeled as optimization problemand solved accordingly. Functional
properties, in turn, can bedescribed by means of a formal specification language.
Statespacebased planning approaches can then be applied to solvethe underlying
composition problem. However, depending on theexpressiveness of the applied formalism
and the completenessof the functional descriptions, formally equivalent services
maystill differ with respect to their implemented functionality. As aconsequence,
the most appropriate solution for a desired functionalitycan hardly be determined
without considering additionalinformation. In this paper, we demonstrate how to
overcome thislack of information by means of Reinforcement Learning. Inorder to
resolve ambiguity, we expand state-space based servicecomposition by a recommendation
mechanism that supportsdecision-making beyond formal specifications. The recommendationmechanism
adjusts its recommendation strategy basedon feedback from previous composition
runs. Image processingserves as case study. Experimental results show the benefit
of ourproposed solution.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: 'Bernd '
full_name: 'Kleinjohann, Bernd '
last_name: Kleinjohann
citation:
ama: 'Jungmann A, Mohr F, Kleinjohann B. Applying Reinforcement Learning for Resolving
Ambiguity in Service Composition. In: Proceedings of the 7th International
Conference on Service Oriented Computing and Applications (SOCA). ; 2014:105-112.
doi:10.1109/SOCA.2014.48'
apa: Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition. In Proceedings of
the 7th International Conference on Service Oriented Computing and Applications
(SOCA) (pp. 105–112). https://doi.org/10.1109/SOCA.2014.48
bibtex: '@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition}, DOI={10.1109/SOCA.2014.48},
booktitle={Proceedings of the 7th International Conference on Service Oriented
Computing and Applications (SOCA)}, author={Jungmann, Alexander and Mohr, Felix
and Kleinjohann, Bernd }, year={2014}, pages={105–112} }'
chicago: Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition.” In Proceedings of
the 7th International Conference on Service Oriented Computing and Applications
(SOCA), 105–12, 2014. https://doi.org/10.1109/SOCA.2014.48.
ieee: A. Jungmann, F. Mohr, and B. Kleinjohann, “Applying Reinforcement Learning
for Resolving Ambiguity in Service Composition,” in Proceedings of the 7th
International Conference on Service Oriented Computing and Applications (SOCA),
2014, pp. 105–112.
mla: Jungmann, Alexander, et al. “Applying Reinforcement Learning for Resolving
Ambiguity in Service Composition.” Proceedings of the 7th International Conference
on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–12, doi:10.1109/SOCA.2014.48.
short: 'A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 7th International
Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112.'
date_created: 2017-10-17T12:42:21Z
date_updated: 2022-01-06T07:01:12Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SOCA.2014.48
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:22:26Z
date_updated: 2018-03-16T11:22:26Z
file_id: '1339'
file_name: 457-SOCA2014-Jungmann-Mohr.pdf
file_size: 1324374
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:22:26Z
has_accepted_license: '1'
language:
- iso: eng
page: 105-112
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 7th International Conference on Service Oriented Computing
and Applications (SOCA)
status: public
title: Applying Reinforcement Learning for Resolving Ambiguity in Service Composition
type: conference
user_id: '477'
year: '2014'
...
---
_id: '428'
abstract:
- lang: eng
text: Services are self-contained software components that can be used platform
independent and that aim at maximizing software reuse. A basic concern in service
oriented architectures is to measure the reusability of services. One of the most
important qualities is the functional reusability, which indicates how relevant
the task is that a service solves. Current metrics for functional reusability
of software, however, either require source code analysis or have very little
explanatory power. This paper gives a formally described vision statement for
the estimation of functional reusability of services and sketches an exemplary
reusability metric that is based on the service descriptions.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: 'Mohr F. Estimating Functional Reusability of Services. In: Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC).
LNCS. ; 2014:411-418.'
apa: Mohr, F. (2014). Estimating Functional Reusability of Services. In Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC)
(pp. 411–418).
bibtex: '@inproceedings{Mohr_2014, series={LNCS}, title={Estimating Functional Reusability
of Services}, booktitle={Proceedings of the 12th International Conference on Service
Oriented Computing (ICSOC)}, author={Mohr, Felix}, year={2014}, pages={411–418},
collection={LNCS} }'
chicago: Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
411–18. LNCS, 2014.
ieee: F. Mohr, “Estimating Functional Reusability of Services,” in Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
2014, pp. 411–418.
mla: Mohr, Felix. “Estimating Functional Reusability of Services.” Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
2014, pp. 411–18.
short: 'F. Mohr, in: Proceedings of the 12th International Conference on Service
Oriented Computing (ICSOC), 2014, pp. 411–418.'
date_created: 2017-10-17T12:42:15Z
date_updated: 2022-01-06T07:00:47Z
ddc:
- '040'
department:
- _id: '355'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:32:02Z
date_updated: 2018-03-16T11:32:02Z
file_id: '1357'
file_name: 428-ICSOC14.pdf
file_size: 200063
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:32:02Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007%2F978-3-662-45391-9_31
page: 411-418
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 International Conference on Service Oriented
Computing (ICSOC)
series_title: LNCS
status: public
title: Estimating Functional Reusability of Services
type: conference
user_id: '477'
year: '2014'
...
---
_id: '16046'
author:
- first_name: M.
full_name: Agarwal, M.
last_name: Agarwal
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal
solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision
Analysis. 2014;22(3-4).
apa: Agarwal, M., Fallah Tehrani, A., & Hüllermeier, E. (2014). Preference-based
learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria
Decision Analysis, 22(3–4).
bibtex: '@article{Agarwal_Fallah Tehrani_Hüllermeier_2014, title={Preference-based
learning of ideal solutions in TOPSIS-like decision models}, volume={22}, number={3–4},
journal={Journal of Multi-Criteria Decision Analysis}, author={Agarwal, M. and
Fallah Tehrani, A. and Hüllermeier, Eyke}, year={2014} }'
chicago: Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based
Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria
Decision Analysis 22, no. 3–4 (2014).
ieee: M. Agarwal, A. Fallah Tehrani, and E. Hüllermeier, “Preference-based learning
of ideal solutions in TOPSIS-like decision models,” Journal of Multi-Criteria
Decision Analysis, vol. 22, no. 3–4, 2014.
mla: Agarwal, M., et al. “Preference-Based Learning of Ideal Solutions in TOPSIS-like
Decision Models.” Journal of Multi-Criteria Decision Analysis, vol. 22,
no. 3–4, 2014.
short: M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria
Decision Analysis 22 (2014).
date_created: 2020-02-24T16:12:27Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 22'
issue: 3-4
language:
- iso: eng
publication: Journal of Multi-Criteria Decision Analysis
status: public
title: Preference-based learning of ideal solutions in TOPSIS-like decision models
type: journal_article
user_id: '49109'
volume: 22
year: '2014'
...
---
_id: '16060'
author:
- first_name: T.
full_name: Krotzky, T.
last_name: Krotzky
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
citation:
ama: Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for
enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational
Biology and Bioinformatics. 2014;11(5):878-890.
apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended graph-based
models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational
Biology and Bioinformatics, 11(5), 878–890.
bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended graph-based
models for enhanced similarity search in Cabase}, volume={11}, number={5}, journal={IEEE/ACM
Transactions of Computational Biology and Bioinformatics}, author={Krotzky, T.
and Fober, T. and Hüllermeier, Eyke and Klebe, G.}, year={2014}, pages={878–890}
}'
chicago: 'Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based
Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of
Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.'
ieee: T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended graph-based
models for enhanced similarity search in Cabase,” IEEE/ACM Transactions of
Computational Biology and Bioinformatics, vol. 11, no. 5, pp. 878–890, 2014.
mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search
in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics,
vol. 11, no. 5, 2014, pp. 878–90.
short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of
Computational Biology and Bioinformatics 11 (2014) 878–890.
date_created: 2020-02-24T16:34:16Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 11'
issue: '5'
language:
- iso: eng
page: 878-890
publication: IEEE/ACM Transactions of Computational Biology and Bioinformatics
status: public
title: Extended graph-based models for enhanced similarity search in Cabase
type: journal_article
user_id: '49109'
volume: 11
year: '2014'
...
---
_id: '16064'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization. International Journal of Approximate
Reasoning. 2014;55(7):1519-1534.'
apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data
disambiguation through generalized loss minimization. International Journal
of Approximate Reasoning, 55(7), 1519–1534.'
bibtex: '@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization}, volume={55}, number={7},
journal={International Journal of Approximate Reasoning}, author={Hüllermeier,
Eyke}, year={2014}, pages={1519–1534} }'
chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data
Disambiguation through Generalized Loss Minimization.” International Journal
of Approximate Reasoning 55, no. 7 (2014): 1519–34.'
ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization,” International Journal of Approximate
Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.'
mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation
through Generalized Loss Minimization.” International Journal of Approximate
Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.'
short: E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014)
1519–1534.
date_created: 2020-02-24T16:38:22Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 55'
issue: '7'
language:
- iso: eng
page: 1519-1534
publication: International Journal of Approximate Reasoning
status: public
title: 'Learning from imprecise and fuzzy observations: Data disambiguation through
generalized loss minimization'
type: journal_article
user_id: '49109'
volume: 55
year: '2014'
...
---
_id: '16069'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based
systems. Evolving Systems. 2014;5:175-191.
apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of
evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.
bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving
fuzzy-rule-based systems}, volume={5}, journal={Evolving Systems}, author={Henzgen,
Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014}, pages={175–191}
}'
chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of
Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.'
ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based
systems,” Evolving Systems, vol. 5, pp. 175–191, 2014.
mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.”
Evolving Systems, vol. 5, 2014, pp. 175–91.
short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
date_created: 2020-02-24T16:45:06Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 5'
language:
- iso: eng
page: 175-191
publication: Evolving Systems
status: public
title: Visualization of evolving fuzzy-rule-based systems
type: journal_article
user_id: '49109'
volume: 5
year: '2014'
...
---
_id: '16077'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörenyi, B.
last_name: Szörenyi
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm. Machine Learning. 2014;97(3):327-351.'
apa: 'Busa-Fekete, R., Szörenyi, B., Weng, P., Cheng, W., & Hüllermeier, E.
(2014). Preference-based reinforcement learning: evolutionary direct policy search
using a preference-based racing algorithm. Machine Learning, 97(3),
327–351.'
bibtex: '@article{Busa-Fekete_Szörenyi_Weng_Cheng_Hüllermeier_2014, title={Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm.}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete,
Robert and Szörenyi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014},
pages={327–351} }'
chicago: 'Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier.
“Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using
a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014):
327–51.'
ieee: 'R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.'
mla: 'Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary
Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning,
vol. 97, no. 3, 2014, pp. 327–51.'
short: R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning
97 (2014) 327–351.
date_created: 2020-02-25T15:33:07Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 97'
issue: '3'
language:
- iso: eng
page: 327-351
publication: Machine Learning
status: public
title: 'Preference-based reinforcement learning: evolutionary direct policy search
using a preference-based racing algorithm.'
type: journal_article
user_id: '49109'
volume: 97
year: '2014'
...
---
_id: '16078'
author:
- first_name: G.
full_name: Krempl, G.
last_name: Krempl
- first_name: I.
full_name: Zliobaite, I.
last_name: Zliobaite
- first_name: D.
full_name: Brzezinski, D.
last_name: Brzezinski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Last, M.
last_name: Last
- first_name: V.
full_name: Lemaire, V.
last_name: Lemaire
- first_name: T.
full_name: Noack, T.
last_name: Noack
- first_name: A.
full_name: Shaker, A.
last_name: Shaker
- first_name: S.
full_name: Sievi, S.
last_name: Sievi
- first_name: M.
full_name: Spiliopoulou, M.
last_name: Spiliopoulou
- first_name: J.
full_name: Stefanowski, J.
last_name: Stefanowski
citation:
ama: Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream
mining research. SIGKDD Explorations. 2014;16(1):1-10.
apa: Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire,
V., … Stefanowski, J. (2014). Open challenges for data stream mining research.
SIGKDD Explorations, 16(1), 1–10.
bibtex: '@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et
al._2014, title={Open challenges for data stream mining research}, volume={16},
number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I.
and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack,
T. and Shaker, A. and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014},
pages={1–10} }'
chicago: 'Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V.
Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations 16, no. 1 (2014): 1–10.'
ieee: G. Krempl et al., “Open challenges for data stream mining research,”
SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations, vol. 16, no. 1, 2014, pp. 1–10.
short: G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire,
T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations
16 (2014) 1–10.
date_created: 2020-02-25T15:39:01Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 16'
issue: '1'
language:
- iso: eng
page: 1-10
publication: SIGKDD Explorations
status: public
title: Open challenges for data stream mining research
type: journal_article
user_id: '49109'
volume: 16
year: '2014'
...
---
_id: '16079'
author:
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: K.
full_name: Bunte, K.
last_name: Bunte
- first_name: F.M.
full_name: Schleif, F.M.
last_name: Schleif
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding
of pairwise score data. Neurocomputing. 2014;141:97-109.
apa: Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based
embedding of pairwise score data. Neurocomputing, 141, 97–109.
bibtex: '@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based
embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert,
M. and Bunte, K. and Schleif, F.M. and Hüllermeier, Eyke}, year={2014}, pages={97–109}
}'
chicago: 'Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based
Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.'
ieee: M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based
embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109,
2014.
mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.”
Neurocomputing, vol. 141, 2014, pp. 97–109.
short: M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141
(2014) 97–109.
date_created: 2020-02-25T15:41:32Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 141'
language:
- iso: eng
page: 97-109
publication: Neurocomputing
status: public
title: Correlation-based embedding of pairwise score data
type: journal_article
user_id: '49109'
volume: 141
year: '2014'
...
---
_id: '16080'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal
events in dynamically changing environments. International Journal of Applied
Mathematics and Computer Science. 2014;24(1):199-212.'
apa: 'Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments. International
Journal of Applied Mathematics and Computer Science, 24(1), 199–212.'
bibtex: '@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments}, volume={24},
number={1}, journal={International Journal of Applied Mathematics and Computer
Science}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212}
}'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams:
Analyzing Temporal Events in Dynamically Changing Environments.” International
Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.'
ieee: 'A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing
temporal events in dynamically changing environments,” International Journal
of Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212,
2014.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing
Temporal Events in Dynamically Changing Environments.” International Journal
of Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.'
short: A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and
Computer Science 24 (2014) 199–212.
date_created: 2020-02-25T15:44:54Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 24'
issue: '1'
language:
- iso: eng
page: 199-212
publication: International Journal of Applied Mathematics and Computer Science
status: public
title: 'Survival analysis on data streams: Analyzing temporal events in dynamically
changing environments'
type: journal_article
user_id: '49109'
volume: 24
year: '2014'
...
---
_id: '16082'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: S.
full_name: Bösner, S.
last_name: Bösner
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: J.
full_name: Haasenritter, J.
last_name: Haasenritter
- first_name: O.
full_name: Hirsch, O.
last_name: Hirsch
- first_name: N.
full_name: Donner-Banzhoff, N.
last_name: Donner-Banzhoff
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning
classifiers that distinguish aleatoric and epistemic uncertainty. Information
Sciences. 2014;255:16-29.'
apa: 'Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff,
N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers
that distinguish aleatoric and epistemic uncertainty. Information Sciences,
255, 16–29.'
bibtex: '@article{Senge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014,
title={Reliable classification: Learning classifiers that distinguish aleatoric
and epistemic uncertainty}, volume={255}, journal={Information Sciences}, author={Senge,
Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and
Donner-Banzhoff, N. and Hüllermeier, Eyke}, year={2014}, pages={16–29} }'
chicago: 'Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N.
Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers
That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences
255 (2014): 16–29.'
ieee: 'R. Senge et al., “Reliable classification: Learning classifiers that
distinguish aleatoric and epistemic uncertainty,” Information Sciences,
vol. 255, pp. 16–29, 2014.'
mla: 'Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish
Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014,
pp. 16–29.'
short: R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff,
E. Hüllermeier, Information Sciences 255 (2014) 16–29.
date_created: 2020-02-25T15:59:56Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 255'
language:
- iso: eng
page: 16-29
publication: Information Sciences
status: public
title: 'Reliable classification: Learning classifiers that distinguish aleatoric and
epistemic uncertainty'
type: journal_article
user_id: '49109'
volume: 255
year: '2014'
...
---
_id: '16083'
author:
- first_name: N.
full_name: Donner-Banzhoff, N.
last_name: Donner-Banzhoff
- first_name: J.
full_name: Haasenritter, J.
last_name: Haasenritter
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: A.
full_name: Viniol, A.
last_name: Viniol
- first_name: S.
full_name: Bösner, S.
last_name: Bösner
- first_name: A.
full_name: Becker, A.
last_name: Becker
citation:
ama: Donner-Banzhoff N, Haasenritter J, Hüllermeier E, Viniol A, Bösner S, Becker
A. The comprehensive diagnostic study is suggested as a design to model the diagnostic
process. Journal of Clinical Epidemiology. 2014;2(67):124-132.
apa: Donner-Banzhoff, N., Haasenritter, J., Hüllermeier, E., Viniol, A., Bösner,
S., & Becker, A. (2014). The comprehensive diagnostic study is suggested as
a design to model the diagnostic process. Journal of Clinical Epidemiology,
2(67), 124–132.
bibtex: '@article{Donner-Banzhoff_Haasenritter_Hüllermeier_Viniol_Bösner_Becker_2014,
title={The comprehensive diagnostic study is suggested as a design to model the
diagnostic process}, volume={2}, number={67}, journal={Journal of Clinical Epidemiology},
author={Donner-Banzhoff, N. and Haasenritter, J. and Hüllermeier, Eyke and Viniol,
A. and Bösner, S. and Becker, A.}, year={2014}, pages={124–132} }'
chicago: 'Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S.
Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design
to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no.
67 (2014): 124–32.'
ieee: N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner,
and A. Becker, “The comprehensive diagnostic study is suggested as a design to
model the diagnostic process,” Journal of Clinical Epidemiology, vol. 2,
no. 67, pp. 124–132, 2014.
mla: Donner-Banzhoff, N., et al. “The Comprehensive Diagnostic Study Is Suggested
as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology,
vol. 2, no. 67, 2014, pp. 124–32.
short: N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner,
A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.
date_created: 2020-02-25T16:04:17Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 2'
issue: '67'
language:
- iso: eng
page: 124-132
publication: Journal of Clinical Epidemiology
status: public
title: The comprehensive diagnostic study is suggested as a design to model the diagnostic
process
type: journal_article
user_id: '49109'
volume: 2
year: '2014'
...
---
_id: '10247'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörényi, B.
last_name: Szörényi
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive
Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec,
Canada. ; 2014:1701-1707.'
apa: Busa-Fekete, R., Szörényi, B., & Hüllermeier, E. (2014). PAC Rank Elicitation
through Adaptive Sampling of Stochastic Pairwise Preferences. In Proceedings
AAAI 2014, Quebec, Canada (pp. 1701–1707).
bibtex: '@inproceedings{Busa-Fekete_Szörényi_Hüllermeier_2014, title={PAC Rank Elicitation
through Adaptive Sampling of Stochastic Pairwise Preferences}, booktitle={Proceedings
AAAI 2014, Quebec, Canada}, author={Busa-Fekete, Robert and Szörényi, B. and Hüllermeier,
Eyke}, year={2014}, pages={1701–1707} }'
chicago: Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation
through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings
AAAI 2014, Quebec, Canada, 1701–7, 2014.
ieee: R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through
Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI
2014, Quebec, Canada, 2014, pp. 1701–1707.
mla: Busa-Fekete, Robert, et al. “PAC Rank Elicitation through Adaptive Sampling
of Stochastic Pairwise Preferences.” Proceedings AAAI 2014, Quebec, Canada,
2014, pp. 1701–07.
short: 'R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014,
Quebec, Canada, 2014, pp. 1701–1707.'
date_created: 2019-06-14T14:09:02Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1701-1707
publication: Proceedings AAAI 2014, Quebec, Canada
status: public
title: PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10248'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Hüllermeier E. A Survey of Preference-Based Online Learning
with Bandit Algorithms. In: Proceedings Int. Conf. on Algorithmic Learning
Theory (ALT), Bled, Slovenia. ; 2014:18-39.'
apa: Busa-Fekete, R., & Hüllermeier, E. (2014). A Survey of Preference-Based
Online Learning with Bandit Algorithms. In Proceedings Int. Conf. on Algorithmic
Learning Theory (ALT), Bled, Slovenia (pp. 18–39).
bibtex: '@inproceedings{Busa-Fekete_Hüllermeier_2014, title={A Survey of Preference-Based
Online Learning with Bandit Algorithms}, booktitle={Proceedings Int. Conf. on
Algorithmic Learning Theory (ALT), Bled, Slovenia}, author={Busa-Fekete, Robert
and Hüllermeier, Eyke}, year={2014}, pages={18–39} }'
chicago: Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based
Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic
Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.
ieee: R. Busa-Fekete and E. Hüllermeier, “A Survey of Preference-Based Online Learning
with Bandit Algorithms,” in Proceedings Int. Conf. on Algorithmic Learning
Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
mla: Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online
Learning with Bandit Algorithms.” Proceedings Int. Conf. on Algorithmic Learning
Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
short: 'R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic
Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.'
date_created: 2019-06-14T14:12:51Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 18-39
publication: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia
status: public
title: A Survey of Preference-Based Online Learning with Bandit Algorithms
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10249'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Henzgen S, Hüllermeier E. Mining Rank Data. In: Proceedings Discovery Science,
Bled,Slovenia . ; 2014:123-134.'
apa: Henzgen, S., & Hüllermeier, E. (2014). Mining Rank Data. In Proceedings
Discovery Science, Bled,Slovenia (pp. 123–134).
bibtex: '@inproceedings{Henzgen_Hüllermeier_2014, title={Mining Rank Data}, booktitle={Proceedings
Discovery Science, Bled,Slovenia }, author={Henzgen, Sascha and Hüllermeier, Eyke},
year={2014}, pages={123–134} }'
chicago: Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings
Discovery Science, Bled,Slovenia , 123–34, 2014.
ieee: S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery
Science, Bled,Slovenia , 2014, pp. 123–134.
mla: Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” Proceedings Discovery
Science, Bled,Slovenia , 2014, pp. 123–34.
short: 'S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia
, 2014, pp. 123–134.'
date_created: 2019-06-14T14:25:10Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 123-134
publication: 'Proceedings Discovery Science, Bled,Slovenia '
status: public
title: Mining Rank Data
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10250'
author:
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Fallah Tehrani A, Strickert M, Hüllermeier E. The Choquet kernel for monotone
data. In: Proceedings ESANN , Bruges, Belgium. ; 2014.'
apa: Fallah Tehrani, A., Strickert, M., & Hüllermeier, E. (2014). The Choquet
kernel for monotone data. In Proceedings ESANN , Bruges, Belgium.
bibtex: '@inproceedings{Fallah Tehrani_Strickert_Hüllermeier_2014, title={The Choquet
kernel for monotone data}, booktitle={Proceedings ESANN , Bruges, Belgium}, author={Fallah
Tehrani, A. and Strickert, M. and Hüllermeier, Eyke}, year={2014} }'
chicago: Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel
for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.
ieee: A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for
monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014.
mla: Fallah Tehrani, A., et al. “The Choquet Kernel for Monotone Data.” Proceedings
ESANN , Bruges, Belgium, 2014.
short: 'A. Fallah Tehrani, M. Strickert, E. Hüllermeier, in: Proceedings ESANN ,
Bruges, Belgium, 2014.'
date_created: 2019-06-14T14:30:58Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: Proceedings ESANN , Bruges, Belgium
status: public
title: The Choquet kernel for monotone data
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10251'
author:
- first_name: A.
full_name: Abdel-Aziz, A.
last_name: Abdel-Aziz
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Abdel-Aziz A, Strickert M, Hüllermeier E. Learning Solution Similarity in
Preference-Based CBR. In: Proceedings Int. Conf. Case-Based Reasoning (ICCBR),
Cork, Ireland. ; 2014:17-31.'
apa: Abdel-Aziz, A., Strickert, M., & Hüllermeier, E. (2014). Learning Solution
Similarity in Preference-Based CBR. In Proceedings Int. Conf. Case-Based Reasoning
(ICCBR), Cork, Ireland (pp. 17–31).
bibtex: '@inproceedings{Abdel-Aziz_Strickert_Hüllermeier_2014, title={Learning Solution
Similarity in Preference-Based CBR}, booktitle={Proceedings Int. Conf. Case-Based
Reasoning (ICCBR), Cork, Ireland}, author={Abdel-Aziz, A. and Strickert, M. and
Hüllermeier, Eyke}, year={2014}, pages={17–31} }'
chicago: Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution
Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning
(ICCBR), Cork, Ireland, 17–31, 2014.
ieee: A. Abdel-Aziz, M. Strickert, and E. Hüllermeier, “Learning Solution Similarity
in Preference-Based CBR,” in Proceedings Int. Conf. Case-Based Reasoning (ICCBR),
Cork, Ireland, 2014, pp. 17–31.
mla: Abdel-Aziz, A., et al. “Learning Solution Similarity in Preference-Based CBR.”
Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014,
pp. 17–31.
short: 'A. Abdel-Aziz, M. Strickert, E. Hüllermeier, in: Proceedings Int. Conf.
Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.'
date_created: 2019-06-14T14:34:14Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 17-31
publication: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland
status: public
title: Learning Solution Similarity in Preference-Based CBR
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10253'
author:
- first_name: Dirk
full_name: Schäfer, Dirk
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model.
In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany.
; 2014:32-33.'
apa: Schäfer, D., & Hüllermeier, E. (2014). Dyad Ranking Using A Bilinear Plackett-Luce
Model. In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany
(pp. 32–33).
bibtex: '@inproceedings{Schäfer_Hüllermeier_2014, title={Dyad Ranking Using A Bilinear
Plackett-Luce Model}, booktitle={Proceedings Lernen-Wissensentdeckung-Adaptivität
(LWA), Aachen, Germany}, author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2014},
pages={32–33} }'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce
Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen,
Germany, 32–33, 2014.
ieee: D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce
Model,” in Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen,
Germany, 2014, pp. 32–33.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce
Model.” Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany,
2014, pp. 32–33.
short: 'D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität
(LWA), Aachen, Germany, 2014, pp. 32–33.'
date_created: 2019-06-14T14:43:58Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 32-33
publication: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany
status: public
title: Dyad Ranking Using A Bilinear Plackett-Luce Model
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10254'
author:
- first_name: T.
full_name: Calders, T.
last_name: Calders
- first_name: F.
full_name: Esposito, F.
last_name: Esposito
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Meo, R.
last_name: Meo
citation:
ama: 'Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge
Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings,
Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.'
apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Machine Learning
and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.
In Proceedings, Parts I-III. Lecture Notes in Computer Science (pp. 8724–8726).
Springer.
bibtex: '@inproceedings{Calders_Esposito_Hüllermeier_Meo_2014, title={Machine Learning
and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France},
booktitle={Proceedings, Parts I-III. Lecture Notes in Computer Science}, publisher={Springer},
author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R.}, year={2014},
pages={8724–8726} }'
chicago: Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning
and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.”
In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26.
Springer, 2014.
ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Machine Learning and
Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France,” in
Proceedings, Parts I-III. Lecture Notes in Computer Science, 2014, pp.
8724–8726.
mla: Calders, T., et al. “Machine Learning and Knowledge Discovery in Databases-European
Conf. ECML/PKDD, Nancy, France.” Proceedings, Parts I-III. Lecture Notes in
Computer Science, Springer, 2014, pp. 8724–26.
short: 'T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts
I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.'
date_created: 2019-06-14T14:51:07Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 8724-8726
publication: Proceedings, Parts I-III. Lecture Notes in Computer Science
publisher: Springer
status: public
title: Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD,
Nancy, France
type: conference
user_id: '49109'
year: '2014'
...
---
_id: '10295'
author:
- first_name: J.
full_name: Fürnkranz, J.
last_name: Fürnkranz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Cynthia
full_name: Rudin, Cynthia
last_name: Rudin
- first_name: Roman
full_name: Slowinski, Roman
last_name: Slowinski
- first_name: Scott
full_name: Sanner, Scott
last_name: Sanner
citation:
ama: 'Fürnkranz J, Hüllermeier E, Rudin C, Slowinski R, Sanner S. Preference Learning
(Dagstuhl Seminar 14101) Dagstuhl Reports. In: Vol 4. ; 2014:1-27.'
apa: Fürnkranz, J., Hüllermeier, E., Rudin, C., Slowinski, R., & Sanner, S.
(2014). Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports (Vol. 4,
pp. 1–27).
bibtex: '@inproceedings{Fürnkranz_Hüllermeier_Rudin_Slowinski_Sanner_2014, title={Preference
Learning (Dagstuhl Seminar 14101) Dagstuhl Reports}, volume={4}, number={3}, author={Fürnkranz,
J. and Hüllermeier, Eyke and Rudin, Cynthia and Slowinski, Roman and Sanner, Scott},
year={2014}, pages={1–27} }'
chicago: Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott
Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27,
2014.
ieee: J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference
Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp.
1–27.
mla: Fürnkranz, J., et al. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl
Reports. Vol. 4, no. 3, 2014, pp. 1–27.
short: 'J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014,
pp. 1–27.'
date_created: 2019-06-25T10:43:27Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 4'
issue: '3'
language:
- iso: eng
page: 1-27
status: public
title: Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports
type: conference
user_id: '49109'
volume: 4
year: '2014'
...
---
_id: '10296'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal
events in dynamically changing environments. Applied Mathematics and Computer
Science. 2014;24(1):199-212.'
apa: 'Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments. Applied Mathematics
and Computer Science, 24(1), 199–212.'
bibtex: '@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments}, volume={24},
number={1}, journal={Applied Mathematics and Computer Science}, author={Shaker,
Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212} }'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams:
Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics
and Computer Science 24, no. 1 (2014): 199–212.'
ieee: 'A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing
temporal events in dynamically changing environments,” Applied Mathematics
and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing
Temporal Events in Dynamically Changing Environments.” Applied Mathematics
and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.'
short: A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014)
199–212.
date_created: 2019-06-25T12:33:49Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 24'
issue: '1'
language:
- iso: eng
page: 199-212
publication: Applied Mathematics and Computer Science
status: public
title: 'Survival analysis on data streams: Analyzing temporal events in dynamically
changing environments'
type: journal_article
user_id: '49109'
volume: 24
year: '2014'
...
---
_id: '10297'
author:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: A.
full_name: Kroll, A.
last_name: Kroll
citation:
ama: Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses
5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686.
apa: Hoffmann, F., Hüllermeier, E., & Kroll, A. (2014). Ausgewählte Beiträge
des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik,
62(10), 685–686.
bibtex: '@article{Hoffmann_Hüllermeier_Kroll_2014, title={Ausgewählte Beiträge des
GMA-Fachausschusses 5.14}, volume={62}, number={10}, journal={Computational Intelligence
Automatisierungstechnik}, author={Hoffmann, F. and Hüllermeier, Eyke and Kroll,
A.}, year={2014}, pages={685–686} }'
chicago: 'Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des
GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik
62, no. 10 (2014): 685–86.'
ieee: F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses
5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no.
10, pp. 685–686, 2014.
mla: Hoffmann, F., et al. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational
Intelligence Automatisierungstechnik, vol. 62, no. 10, 2014, pp. 685–86.
short: F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik
62 (2014) 685–686.
date_created: 2019-06-25T12:36:56Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 62'
issue: '10'
language:
- iso: eng
page: 685-686
publication: Computational Intelligence Automatisierungstechnik
status: public
title: Ausgewählte Beiträge des GMA-Fachausschusses 5.14
type: journal_article
user_id: '49109'
volume: 62
year: '2014'
...
---
_id: '10298'
author:
- first_name: T.
full_name: Calders, T.
last_name: Calders
- first_name: F.
full_name: Esposito, F.
last_name: Esposito
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Meo, R.
last_name: Meo
citation:
ama: Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery.
2014;28(5-6):1129-1133.
apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Data Min. Knowledge Discovery,
28(5–6), 1129–1133.
bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track}, volume={28}, number={5–6}, journal={Data
Min. Knowledge Discovery}, author={Calders, T. and Esposito, F. and Hüllermeier,
Eyke and Meo, R.}, year={2014}, pages={1129–1133} }'
chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special
Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery
28, no. 5–6 (2014): 1129–33.'
ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery,
vol. 28, no. 5–6, pp. 1129–1133, 2014.
mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD
2014 Journal Track.” Data Min. Knowledge Discovery, vol. 28, no. 5–6, 2014,
pp. 1129–33.
short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery
28 (2014) 1129–1133.
date_created: 2019-06-25T12:42:48Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 28'
issue: 5-6
language:
- iso: eng
page: 1129-1133
publication: Data Min. Knowledge Discovery
status: public
title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
type: journal_article
user_id: '49109'
volume: 28
year: '2014'
...
---
_id: '10299'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy rule-based
systems. Evolving Systems. 2014;5(3):175-191.
apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of
evolving fuzzy rule-based systems. Evolving Systems, 5(3), 175–191.
bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving
fuzzy rule-based systems}, volume={5}, number={3}, journal={Evolving Systems},
author={Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014},
pages={175–191} }'
chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of
Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.'
ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy
rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014.
mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy Rule-Based Systems.”
Evolving Systems, vol. 5, no. 3, 2014, pp. 175–91.
short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
date_created: 2019-06-25T12:52:26Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 5'
issue: '3'
language:
- iso: eng
page: 175-191
publication: Evolving Systems
status: public
title: Visualization of evolving fuzzy rule-based systems
type: journal_article
user_id: '49109'
volume: 5
year: '2014'
...
---
_id: '10308'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.'
apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data
disambiguation through generalized loss minimization. Int. J. Approx. Reasoning,
55(7), 1519–1534.'
bibtex: '@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization}, volume={55}, number={7},
journal={Int. J. Approx. Reasoning}, author={Hüllermeier, Eyke}, year={2014},
pages={1519–1534} }'
chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data
Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning
55, no. 7 (2014): 1519–34.'
ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization,” Int. J. Approx. Reasoning, vol.
55, no. 7, pp. 1519–1534, 2014.'
mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation
through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol.
55, no. 7, 2014, pp. 1519–34.'
short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534.
date_created: 2019-06-26T11:08:58Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 55'
issue: '7'
language:
- iso: eng
page: 1519-1534
publication: Int. J. Approx. Reasoning
status: public
title: 'Learning from imprecise and fuzzy observations: Data disambiguation through
generalized loss minimization'
type: journal_article
user_id: '49109'
volume: 55
year: '2014'
...
---
_id: '10309'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization. Int J Approx Reasoning.
2014;55(7):1609-1613.'
apa: 'Hüllermeier, E. (2014). Rejoinder on "Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization. Int. J. Approx.
Reasoning, 55(7), 1609–1613.'
bibtex: '@article{Hüllermeier_2014, title={Rejoinder on "Learning from imprecise
and fuzzy observations: Data disambiguation through generalized loss minimization},
volume={55}, number={7}, journal={Int. J. Approx. Reasoning}, author={Hüllermeier,
Eyke}, year={2014}, pages={1609–1613} }'
chicago: 'Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations:
Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx.
Reasoning 55, no. 7 (2014): 1609–13.'
ieee: 'E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization,” Int. J. Approx.
Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.'
mla: 'Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations:
Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx.
Reasoning, vol. 55, no. 7, 2014, pp. 1609–13.'
short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613.
date_created: 2019-06-26T11:12:38Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 55'
issue: '7'
language:
- iso: eng
page: 1609-1613
publication: Int. J. Approx. Reasoning
status: public
title: 'Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization'
type: journal_article
user_id: '49109'
volume: 55
year: '2014'
...
---
_id: '10310'
author:
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: K.
full_name: Bunte, K.
last_name: Bunte
- first_name: F.- M.
full_name: Schleif, F.- M.
last_name: Schleif
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Strickert M, Bunte K, Schleif F-M, Hüllermeier E. Correlation-based embedding
of pairwise score data. Neurocomputing. 2014;141:97-109.
apa: Strickert, M., Bunte, K., Schleif, F.-M., & Hüllermeier, E. (2014). Correlation-based
embedding of pairwise score data. Neurocomputing, 141, 97–109.
bibtex: '@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based
embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert,
M. and Bunte, K. and Schleif, F.- M. and Hüllermeier, Eyke}, year={2014}, pages={97–109}
}'
chicago: 'Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based
Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.'
ieee: M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based
embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109,
2014.
mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.”
Neurocomputing, vol. 141, 2014, pp. 97–109.
short: M. Strickert, K. Bunte, F.-M. Schleif, E. Hüllermeier, Neurocomputing 141
(2014) 97–109.
date_created: 2019-06-26T11:18:40Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 141'
language:
- iso: eng
page: 97-109
publication: Neurocomputing
status: public
title: Correlation-based embedding of pairwise score data
type: journal_article
user_id: '49109'
volume: 141
year: '2014'
...
---
_id: '10311'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: S.
full_name: Bösner, S.
last_name: Bösner
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: J.
full_name: Haasenritter, J.
last_name: Haasenritter
- first_name: O.
full_name: Hirsch, O.
last_name: Hirsch
- first_name: N.
full_name: Donner-Banzhoff, N.
last_name: Donner-Banzhoff
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning
classifiers that distinguish aleatoric and epistemic uncertainty. Information
Sciences. 2014;255:16-29.'
apa: 'Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff,
N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers
that distinguish aleatoric and epistemic uncertainty. Information Sciences,
255, 16–29.'
bibtex: '@article{Senge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014,
title={Reliable classification: Learning classifiers that distinguish aleatoric
and epistemic uncertainty}, volume={255}, journal={Information Sciences}, author={Senge,
Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and
Donner-Banzhoff, N. and Hüllermeier, Eyke}, year={2014}, pages={16–29} }'
chicago: 'Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N.
Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers
That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences
255 (2014): 16–29.'
ieee: 'R. Senge et al., “Reliable classification: Learning classifiers that
distinguish aleatoric and epistemic uncertainty,” Information Sciences,
vol. 255, pp. 16–29, 2014.'
mla: 'Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish
Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014,
pp. 16–29.'
short: R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff,
E. Hüllermeier, Information Sciences 255 (2014) 16–29.
date_created: 2019-06-26T11:23:25Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 255'
language:
- iso: eng
page: 16-29
publication: Information Sciences
status: public
title: 'Reliable classification: Learning classifiers that distinguish aleatoric and
epistemic uncertainty'
type: journal_article
user_id: '49109'
volume: 255
year: '2014'
...
---
_id: '10312'
author:
- first_name: M.
full_name: Mernberger, M.
last_name: Mernberger
- first_name: M.
full_name: Moog, M.
last_name: Moog
- first_name: S.
full_name: Stork, S.
last_name: Stork
- first_name: S.
full_name: Zauner, S.
last_name: Zauner
- first_name: U.G.
full_name: Maier, U.G.
last_name: Maier
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular
Localization Prediction for Special compartments via Optimized Time Series Distances.
J Bioinformatics and Computational Biology. 2014;12(1).
apa: Mernberger, M., Moog, M., Stork, S., Zauner, S., Maier, U. G., & Hüllermeier,
E. (2014). Protein Sub-Cellular Localization Prediction for Special compartments
via Optimized Time Series Distances. J. Bioinformatics and Computational Biology,
12(1).
bibtex: '@article{Mernberger_Moog_Stork_Zauner_Maier_Hüllermeier_2014, title={Protein
Sub-Cellular Localization Prediction for Special compartments via Optimized Time
Series Distances}, volume={12}, number={1}, journal={J. Bioinformatics and Computational
Biology}, author={Mernberger, M. and Moog, M. and Stork, S. and Zauner, S. and
Maier, U.G. and Hüllermeier, Eyke}, year={2014} }'
chicago: Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier.
“Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized
Time Series Distances.” J. Bioinformatics and Computational Biology 12,
no. 1 (2014).
ieee: M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier,
“Protein Sub-Cellular Localization Prediction for Special compartments via Optimized
Time Series Distances,” J. Bioinformatics and Computational Biology, vol.
12, no. 1, 2014.
mla: Mernberger, M., et al. “Protein Sub-Cellular Localization Prediction for Special
Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational
Biology, vol. 12, no. 1, 2014.
short: M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier,
J. Bioinformatics and Computational Biology 12 (2014).
date_created: 2019-06-26T11:27:51Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 12'
issue: '1'
language:
- iso: eng
publication: J. Bioinformatics and Computational Biology
status: public
title: Protein Sub-Cellular Localization Prediction for Special compartments via Optimized
Time Series Distances
type: journal_article
user_id: '49109'
volume: 12
year: '2014'
...
---
_id: '10313'
author:
- first_name: T.
full_name: Calders, T.
last_name: Calders
- first_name: F.
full_name: Esposito, F.
last_name: Esposito
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Meo, R.
last_name: Meo
citation:
ama: Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3.
apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Machine Learning, 97(1–2),
1–3.
bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track}, volume={97}, number={1–2}, journal={Machine
Learning}, author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo,
R.}, year={2014}, pages={1–3} }'
chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special
Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2
(2014): 1–3.'
ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97,
no. 1–2, pp. 1–3, 2014.
mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD
2014 Journal Track.” Machine Learning, vol. 97, no. 1–2, 2014, pp. 1–3.
short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014)
1–3.
date_created: 2019-06-26T11:30:38Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 97'
issue: 1-2
language:
- iso: eng
page: 1-3
publication: Machine Learning
status: public
title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
type: journal_article
user_id: '49109'
volume: 97
year: '2014'
...
---
_id: '10314'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörényi, B.
last_name: Szörényi
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E. Preference-Based
Reinforcement Learning: evolutionary direct policy search using a preference-based
racing algorithm. Machine Learning. 2014;97(3):327-351.'
apa: 'Busa-Fekete, R., Szörényi, B., Weng, P., Cheng, W., & Hüllermeier, E.
(2014). Preference-Based Reinforcement Learning: evolutionary direct policy search
using a preference-based racing algorithm. Machine Learning, 97(3),
327–351.'
bibtex: '@article{Busa-Fekete_Szörényi_Weng_Cheng_Hüllermeier_2014, title={Preference-Based
Reinforcement Learning: evolutionary direct policy search using a preference-based
racing algorithm}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete,
Robert and Szörényi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014},
pages={327–351} }'
chicago: 'Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier.
“Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using
a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014):
327–51.'
ieee: 'R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-Based
Reinforcement Learning: evolutionary direct policy search using a preference-based
racing algorithm,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.'
mla: 'Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary
Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning,
vol. 97, no. 3, 2014, pp. 327–51.'
short: R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning
97 (2014) 327–351.
date_created: 2019-06-26T11:34:55Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 97'
issue: '3'
language:
- iso: eng
page: 327-351
publication: Machine Learning
status: public
title: 'Preference-Based Reinforcement Learning: evolutionary direct policy search
using a preference-based racing algorithm'
type: journal_article
user_id: '49109'
volume: 97
year: '2014'
...
---
_id: '10315'
author:
- first_name: E.
full_name: Montanés, E.
last_name: Montanés
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: J.
full_name: Barranquero, J.
last_name: Barranquero
- first_name: J.R.
full_name: Quevedo, J.R.
last_name: Quevedo
- first_name: J.J.
full_name: Del Coz, J.J.
last_name: Del Coz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E.
Dependent binary relevance models for multi-label classification. Pattern Recognition.
2014;47(3):1494-1508.
apa: Montanés, E., Senge, R., Barranquero, J., Quevedo, J. R., Del Coz, J. J., &
Hüllermeier, E. (2014). Dependent binary relevance models for multi-label classification.
Pattern Recognition, 47(3), 1494–1508.
bibtex: '@article{Montanés_Senge_Barranquero_Quevedo_Del Coz_Hüllermeier_2014, title={Dependent
binary relevance models for multi-label classification}, volume={47}, number={3},
journal={Pattern Recognition}, author={Montanés, E. and Senge, Robin and Barranquero,
J. and Quevedo, J.R. and Del Coz, J.J. and Hüllermeier, Eyke}, year={2014}, pages={1494–1508}
}'
chicago: 'Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz,
and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.”
Pattern Recognition 47, no. 3 (2014): 1494–1508.'
ieee: E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E.
Hüllermeier, “Dependent binary relevance models for multi-label classification,”
Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014.
mla: Montanés, E., et al. “Dependent Binary Relevance Models for Multi-Label Classification.”
Pattern Recognition, vol. 47, no. 3, 2014, pp. 1494–508.
short: E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier,
Pattern Recognition 47 (2014) 1494–1508.
date_created: 2019-06-26T11:40:07Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 47'
issue: '3'
language:
- iso: eng
page: 1494-1508
publication: Pattern Recognition
status: public
title: Dependent binary relevance models for multi-label classification
type: journal_article
user_id: '49109'
volume: 47
year: '2014'
...
---
_id: '10316'
author:
- first_name: G.
full_name: Krempl, G.
last_name: Krempl
- first_name: I.
full_name: Zliobaite, I.
last_name: Zliobaite
- first_name: D.
full_name: Brzezinski, D.
last_name: Brzezinski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Last, M.
last_name: Last
- first_name: V.
full_name: Lemaire, V.
last_name: Lemaire
- first_name: T.
full_name: Noack, T.
last_name: Noack
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: S.
full_name: Sievi, S.
last_name: Sievi
- first_name: M.
full_name: Spiliopoulou, M.
last_name: Spiliopoulou
- first_name: J.
full_name: Stefanowski, J.
last_name: Stefanowski
citation:
ama: Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream
mining research. SIGKDD Explorations. 2014;16(1):1-10.
apa: Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire,
V., … Stefanowski, J. (2014). Open challenges for data stream mining research.
SIGKDD Explorations, 16(1), 1–10.
bibtex: '@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et
al._2014, title={Open challenges for data stream mining research}, volume={16},
number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I.
and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack,
T. and Shaker, Ammar and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014},
pages={1–10} }'
chicago: 'Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V.
Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations 16, no. 1 (2014): 1–10.'
ieee: G. Krempl et al., “Open challenges for data stream mining research,”
SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations, vol. 16, no. 1, 2014, pp. 1–10.
short: G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire,
T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations
16 (2014) 1–10.
date_created: 2019-06-26T11:59:15Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 16'
issue: '1'
language:
- iso: eng
page: 1-10
publication: SIGKDD Explorations
status: public
title: Open challenges for data stream mining research
type: journal_article
user_id: '49109'
volume: 16
year: '2014'
...
---
_id: '10317'
author:
- first_name: T.
full_name: Krotzky, T.
last_name: Krotzky
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
citation:
ama: Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for
Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform.
2014;11(5):878-890.
apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans. Comput. Biology
Bioinform., 11(5), 878–890.
bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase}, volume={11}, number={5}, journal={IEEE/ACM
Trans. Comput. Biology Bioinform.}, author={Krotzky, T. and Fober, T. and Hüllermeier,
Eyke and Klebe, G.}, year={2014}, pages={878–890} }'
chicago: 'Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput.
Biology Bioinform. 11, no. 5 (2014): 878–90.'
ieee: T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase,” IEEE/ACM Trans. Comput.
Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014.
mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search
in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5,
2014, pp. 878–90.
short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology
Bioinform. 11 (2014) 878–890.
date_created: 2019-06-26T12:04:48Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 11'
issue: '5'
language:
- iso: eng
page: 878-890
publication: IEEE/ACM Trans. Comput. Biology Bioinform.
status: public
title: Extended Graph-Based Models for Enhanced Similarity Search in Cavbase
type: journal_article
user_id: '49109'
volume: 11
year: '2014'
...
---
_id: '10318'
author:
- first_name: M.
full_name: Stock, M.
last_name: Stock
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: S,
full_name: Glinca, S,
last_name: Glinca
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
- first_name: T.
full_name: Pahikkala, T.
last_name: Pahikkala
- first_name: A.
full_name: Airola, A.
last_name: Airola
- first_name: B.
full_name: De Baets, B.
last_name: De Baets
- first_name: W.
full_name: Wageman, W.
last_name: Wageman
citation:
ama: Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated
Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform.
2014;11(6):1157-1169.
apa: Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T.,
… Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning
to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6),
1157–1169.
bibtex: '@article{Stock_Fober_Hüllermeier_Glinca_Klebe_Pahikkala_Airola_De Baets_Wageman_2014,
title={Identification of Functionally Releated Enzymes by Learning to Rank Methods},
volume={11}, number={6}, journal={IEEE/ACM Trans. Comput. Biology Bioinform.},
author={Stock, M. and Fober, T. and Hüllermeier, Eyke and Glinca, S and Klebe,
G. and Pahikkala, T. and Airola, A. and De Baets, B. and Wageman, W.}, year={2014},
pages={1157–1169} }'
chicago: 'Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala,
A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated
Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform.
11, no. 6 (2014): 1157–69.'
ieee: M. Stock et al., “Identification of Functionally Releated Enzymes by
Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform.,
vol. 11, no. 6, pp. 1157–1169, 2014.
mla: Stock, M., et al. “Identification of Functionally Releated Enzymes by Learning
to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11,
no. 6, 2014, pp. 1157–69.
short: M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A.
Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11
(2014) 1157–1169.
date_created: 2019-06-26T12:11:13Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 11'
issue: '6'
language:
- iso: eng
page: 1157-1169
publication: IEEE/ACM Trans. Comput. Biology Bioinform.
status: public
title: Identification of Functionally Releated Enzymes by Learning to Rank Methods
type: journal_article
user_id: '49109'
volume: 11
year: '2014'
...
---
_id: '485'
abstract:
- lang: eng
text: Software composition has been studied as a subject of state based planning
for decades. Existing composition approaches that are efficient enough to be used
in practice are limited to sequential arrangements of software components. This
restriction dramatically reduces the number of composition problems that can be
solved. However, there are many composition problems that could be solved by existing
approaches if they had a possibility to combine components in very simple non-sequential
ways. To this end, we present an approach that arranges not only basic components
but also composite components. Composite components enhance the structure of the
composition by conditional control flows. Through algorithms that are written
by experts, composite components are automatically generated before the composition
process starts. Therefore, our approach is not a substitute for existing composition
algorithms but complements them with a preprocessing step. We verified the validity
of our approach through implementation of the presented algorithms.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
citation:
ama: 'Mohr F, Kleine Büning H. Semi-Automated Software Composition Through Generated
Components. In: Proceedings of the 15th International Conference on Information
Integration and Web-Based Applications & Services (IiWAS). ; 2013:676-680.
doi:10.1145/2539150.2539235'
apa: Mohr, F., & Kleine Büning, H. (2013). Semi-Automated Software Composition
Through Generated Components. In Proceedings of the 15th International Conference
on Information Integration and Web-based Applications & Services (iiWAS)
(pp. 676–680). https://doi.org/10.1145/2539150.2539235
bibtex: '@inproceedings{Mohr_Kleine Büning_2013, title={Semi-Automated Software
Composition Through Generated Components}, DOI={10.1145/2539150.2539235},
booktitle={Proceedings of the 15th International Conference on Information Integration
and Web-based Applications & Services (iiWAS)}, author={Mohr, Felix and Kleine
Büning, Hans}, year={2013}, pages={676–680} }'
chicago: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition
Through Generated Components.” In Proceedings of the 15th International Conference
on Information Integration and Web-Based Applications & Services (IiWAS),
676–80, 2013. https://doi.org/10.1145/2539150.2539235.
ieee: F. Mohr and H. Kleine Büning, “Semi-Automated Software Composition Through
Generated Components,” in Proceedings of the 15th International Conference
on Information Integration and Web-based Applications & Services (iiWAS),
2013, pp. 676–680.
mla: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition Through
Generated Components.” Proceedings of the 15th International Conference on
Information Integration and Web-Based Applications & Services (IiWAS),
2013, pp. 676–80, doi:10.1145/2539150.2539235.
short: 'F. Mohr, H. Kleine Büning, in: Proceedings of the 15th International Conference
on Information Integration and Web-Based Applications & Services (IiWAS),
2013, pp. 676–680.'
date_created: 2017-10-17T12:42:26Z
date_updated: 2022-01-06T07:01:27Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1145/2539150.2539235
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-15T13:56:49Z
date_updated: 2018-03-15T13:56:49Z
file_id: '1318'
file_name: 485-paper86_mohr.pdf
file_size: 368152
relation: main_file
success: 1
file_date_updated: 2018-03-15T13:56:49Z
has_accepted_license: '1'
language:
- iso: eng
page: 676-680
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 15th International Conference on Information Integration
and Web-based Applications & Services (iiWAS)
status: public
title: Semi-Automated Software Composition Through Generated Components
type: conference
user_id: '477'
year: '2013'
...
---
_id: '495'
abstract:
- lang: eng
text: Automated service composition has been studied as a subject of state based
planning for a decade. A great deal of service composition tasks can only be solved
if concrete output values of the services are considered in the composition process.
However, the fact that those values are not known before runtime leads to nondeterministic
planning problems, which have proven to be notoriously difficult in practical
automated service composition applications. Even though this problem is frequently
recognized, it has still received remarkably few attention and remains unsolved.This
paper shows how nondeterminism in automated service composition can be reduced.
We introduce context rules as a means to derive semantic knowledge from output
values of services. These rules enable us to replace nondeterministic composition
operations by less nondeterministic or even completely deterministic ones. We
show the validity of our solutions not only theoretically but also have evaluated
them practically through implementation.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Theodor
full_name: Lettmann, Theodor
id: '315'
last_name: Lettmann
orcid: 0000-0001-5859-2457
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
citation:
ama: 'Mohr F, Lettmann T, Kleine Büning H. Reducing Nondeterminism in Automated
Service Composition. In: Proceedings of the 6th International Conference on
Service Oriented Computing and Applications (SOCA). ; 2013:154-161. doi:10.1109/SOCA.2013.25'
apa: Mohr, F., Lettmann, T., & Kleine Büning, H. (2013). Reducing Nondeterminism
in Automated Service Composition. In Proceedings of the 6th International Conference
on Service Oriented Computing and Applications (SOCA) (pp. 154–161). https://doi.org/10.1109/SOCA.2013.25
bibtex: '@inproceedings{Mohr_Lettmann_Kleine Büning_2013, title={Reducing Nondeterminism
in Automated Service Composition}, DOI={10.1109/SOCA.2013.25},
booktitle={Proceedings of the 6th International Conference on Service Oriented
Computing and Applications (SOCA)}, author={Mohr, Felix and Lettmann, Theodor
and Kleine Büning, Hans}, year={2013}, pages={154–161} }'
chicago: Mohr, Felix, Theodor Lettmann, and Hans Kleine Büning. “Reducing Nondeterminism
in Automated Service Composition.” In Proceedings of the 6th International
Conference on Service Oriented Computing and Applications (SOCA), 154–61,
2013. https://doi.org/10.1109/SOCA.2013.25.
ieee: F. Mohr, T. Lettmann, and H. Kleine Büning, “Reducing Nondeterminism in Automated
Service Composition,” in Proceedings of the 6th International Conference on
Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.
mla: Mohr, Felix, et al. “Reducing Nondeterminism in Automated Service Composition.”
Proceedings of the 6th International Conference on Service Oriented Computing
and Applications (SOCA), 2013, pp. 154–61, doi:10.1109/SOCA.2013.25.
short: 'F. Mohr, T. Lettmann, H. Kleine Büning, in: Proceedings of the 6th International
Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.'
date_created: 2017-10-17T12:42:28Z
date_updated: 2022-01-06T07:01:30Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SOCA.2013.25
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-15T13:43:08Z
date_updated: 2018-03-15T13:43:08Z
file_id: '1314'
file_name: 495-paper52_mohr.pdf
file_size: 603822
relation: main_file
success: 1
file_date_updated: 2018-03-15T13:43:08Z
has_accepted_license: '1'
language:
- iso: eng
page: 154-161
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 6th International Conference on Service Oriented Computing
and Applications (SOCA)
status: public
title: Reducing Nondeterminism in Automated Service Composition
type: conference
user_id: '477'
year: '2013'
...
---
_id: '15752'
author:
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: S.
full_name: Henzgen, S.
last_name: Henzgen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition
in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany. ; 2013:129-136.'
apa: Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise
decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany (pp. 129–136).
bibtex: '@inproceedings{Cheng_Henzgen_Hüllermeier_2013, title={Labelwise versus
pairwise decomposition in label ranking}, booktitle={In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Cheng, W. and
Henzgen, S. and Hüllermeier, Eyke}, year={2013}, pages={129–136} }'
chicago: Cheng, W., S. Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise
Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany, 129–36, 2013.
ieee: W. Cheng, S. Henzgen, and E. Hüllermeier, “Labelwise versus pairwise decomposition
in label ranking,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany, 2013, pp. 129–136.
mla: Cheng, W., et al. “Labelwise versus Pairwise Decomposition in Label Ranking.”
In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg,
Germany, 2013, pp. 129–36.
short: 'W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.'
date_created: 2020-02-03T14:20:27Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 129-136
publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany
status: public
title: Labelwise versus pairwise decomposition in label ranking
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15753'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: J.
full_name: del Coz, J.
last_name: del Coz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label
classification, Bamberg, Germany. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany. ; 2013:151-158.'
apa: Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier
chains for multi-label classification, Bamberg, Germany. In In Proceedings
Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany
(pp. 151–158).
bibtex: '@inproceedings{Senge_del Coz_Hüllermeier_2013, title={Rectifying classifier
chains for multi-label classification, Bamberg, Germany}, booktitle={In Proceedings
Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Senge,
Robin and del Coz, J. and Hüllermeier, Eyke}, year={2013}, pages={151–158} }'
chicago: Senge, Robin, J. del Coz, and Eyke Hüllermeier. “Rectifying Classifier
Chains for Multi-Label Classification, Bamberg, Germany.” In In Proceedings
Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany,
151–58, 2013.
ieee: R. Senge, J. del Coz, and E. Hüllermeier, “Rectifying classifier chains for
multi-label classification, Bamberg, Germany,” in In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
mla: Senge, Robin, et al. “Rectifying Classifier Chains for Multi-Label Classification,
Bamberg, Germany.” In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany, 2013, pp. 151–58.
short: 'R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.'
date_created: 2020-02-03T14:24:09Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 151-158
publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany
status: public
title: Rectifying classifier chains for multi-label classification, Bamberg, Germany
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15755'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Fober T, Hüllermeier E. Preference-based evolutionary optimization
using generalized racing algorithms. In: Hoffmann F, Hüllermeier E, eds. In
Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT
Scientific Publishing; 2013:237-246.'
apa: Busa-Fekete, R., Fober, T., & Hüllermeier, E. (2013). Preference-based
evolutionary optimization using generalized racing algorithms. In F. Hoffmann
& E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence,
Dortmund Germany (pp. 237–246). KIT Scientific Publishing.
bibtex: '@inproceedings{Busa-Fekete_Fober_Hüllermeier_2013, title={Preference-based
evolutionary optimization using generalized racing algorithms}, booktitle={in
Proceedings 23th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT
Scientific Publishing}, author={Busa-Fekete, Robert and Fober, T. and Hüllermeier,
Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors}, year={2013}, pages={237–246}
}'
chicago: Busa-Fekete, Robert, T. Fober, and Eyke Hüllermeier. “Preference-Based
Evolutionary Optimization Using Generalized Racing Algorithms.” In In Proceedings
23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann
and Eyke Hüllermeier, 237–46. KIT Scientific Publishing, 2013.
ieee: R. Busa-Fekete, T. Fober, and E. Hüllermeier, “Preference-based evolutionary
optimization using generalized racing algorithms,” in in Proceedings 23th Workshop
Computational Intelligence, Dortmund Germany, 2013, pp. 237–246.
mla: Busa-Fekete, Robert, et al. “Preference-Based Evolutionary Optimization Using
Generalized Racing Algorithms.” In Proceedings 23th Workshop Computational
Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier,
KIT Scientific Publishing, 2013, pp. 237–46.
short: 'R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier
(Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany,
KIT Scientific Publishing, 2013, pp. 237–246.'
date_created: 2020-02-03T14:31:54Z
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: 237-246
publication: in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany
publisher: KIT Scientific Publishing
status: public
title: Preference-based evolutionary optimization using generalized racing algorithms
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15756'
author:
- first_name: S.
full_name: Henzgen, S.
last_name: Henzgen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Henzgen S, Hüllermeier E. Weighted rank correlation measures based on fuzzy
order relations. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop
Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:227-236.'
apa: Henzgen, S., & Hüllermeier, E. (2013). Weighted rank correlation measures
based on fuzzy order relations. In F. Hoffmann & E. Hüllermeier (Eds.), in
Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp.
227–236). KIT Scientific Publishing.
bibtex: '@inproceedings{Henzgen_Hüllermeier_2013, title={Weighted rank correlation
measures based on fuzzy order relations}, booktitle={in Proceedings 23th Workshop
Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing},
author={Henzgen, S. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier,
EykeEditors}, year={2013}, pages={227–236} }'
chicago: Henzgen, S., and Eyke Hüllermeier. “Weighted Rank Correlation Measures
Based on Fuzzy Order Relations.” In In Proceedings 23th Workshop Computational
Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier,
227–36. KIT Scientific Publishing, 2013.
ieee: S. Henzgen and E. Hüllermeier, “Weighted rank correlation measures based on
fuzzy order relations,” in in Proceedings 23th Workshop Computational Intelligence,
Dortmund Germany, 2013, pp. 227–236.
mla: Henzgen, S., and Eyke Hüllermeier. “Weighted Rank Correlation Measures Based
on Fuzzy Order Relations.” In Proceedings 23th Workshop Computational Intelligence,
Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific
Publishing, 2013, pp. 227–36.
short: 'S. Henzgen, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings
23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing,
2013, pp. 227–236.'
date_created: 2020-02-03T14:38:04Z
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: 227-236
publication: in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany
publisher: KIT Scientific Publishing
status: public
title: Weighted rank correlation measures based on fuzzy order relations
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15757'
author:
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Weng P, Busa-Fekete R, Hüllermeier E. Interactive Q-learning with ordinal
rewards and unreliable tutor. In: In Proceedings ECML/PKDD-Workshop on Reinforcement
Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.'
apa: Weng, P., Busa-Fekete, R., & Hüllermeier, E. (2013). Interactive Q-learning
with ordinal rewards and unreliable tutor. In In Proceedings ECML/PKDD-Workshop
on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards,
Prague.
bibtex: '@inproceedings{Weng_Busa-Fekete_Hüllermeier_2013, title={Interactive Q-learning
with ordinal rewards and unreliable tutor}, booktitle={In Proceedings ECML/PKDD-Workshop
on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards,
Prague}, author={Weng, P. and Busa-Fekete, Robert and Hüllermeier, Eyke}, year={2013}
}'
chicago: Weng, P., Robert Busa-Fekete, and Eyke Hüllermeier. “Interactive Q-Learning
with Ordinal Rewards and Unreliable Tutor.” In In Proceedings ECML/PKDD-Workshop
on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards,
Prague, 2013.
ieee: P. Weng, R. Busa-Fekete, and E. Hüllermeier, “Interactive Q-learning with
ordinal rewards and unreliable tutor,” in In Proceedings ECML/PKDD-Workshop
on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards,
Prague, 2013.
mla: Weng, P., et al. “Interactive Q-Learning with Ordinal Rewards and Unreliable
Tutor.” In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized
Feedback:Beyond Numerical Rewards, Prague, 2013.
short: 'P. Weng, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop
on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards,
Prague, 2013.'
date_created: 2020-02-03T14:43:26Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized
Feedback:Beyond Numerical Rewards, Prague
status: public
title: Interactive Q-learning with ordinal rewards and unreliable tutor
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15758'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörenyi, B.
last_name: Szörenyi
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörenyi B, Weng P, Hüllermeier E. Preference-based evolutionary
direct policy search. In: In Proceedings ECML/PKDD-Workshop on Reinforcement
Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.'
apa: Busa-Fekete, R., Szörenyi, B., Weng, P., & Hüllermeier, E. (2013). Preference-based
evolutionary direct policy search. In In Proceedings ECML/PKDD-Workshop on
Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague.
bibtex: '@inproceedings{Busa-Fekete_Szörenyi_Weng_Hüllermeier_2013, title={Preference-based
evolutionary direct policy search}, booktitle={In Proceedings ECML/PKDD-Workshop
on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards,
Prague}, author={Busa-Fekete, Robert and Szörenyi, B. and Weng, P. and Hüllermeier,
Eyke}, year={2013} }'
chicago: Busa-Fekete, Robert, B. Szörenyi, P. Weng, and Eyke Hüllermeier. “Preference-Based
Evolutionary Direct Policy Search.” In In Proceedings ECML/PKDD-Workshop on
Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague,
2013.
ieee: R. Busa-Fekete, B. Szörenyi, P. Weng, and E. Hüllermeier, “Preference-based
evolutionary direct policy search,” in In Proceedings ECML/PKDD-Workshop on
Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague,
2013.
mla: Busa-Fekete, Robert, et al. “Preference-Based Evolutionary Direct Policy Search.”
In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized
Feedback:Beyond Numerical Rewards, Prague, 2013.
short: 'R. Busa-Fekete, B. Szörenyi, P. Weng, E. Hüllermeier, in: In Proceedings
ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond
Numerical Rewards, Prague, 2013.'
date_created: 2020-02-03T14:50:41Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized
Feedback:Beyond Numerical Rewards, Prague
status: public
title: Preference-based evolutionary direct policy search
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15759'
author:
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Cheng W, Hüllermeier E. A nearest neigbor approach to label ranking based
on generalized labelwise loss minimization. In: In Proceedings M-PREF`13, 7th
Multidisciplinary Workshop on Advances in Preference Handling Beijing, China.
; 2013.'
apa: Cheng, W., & Hüllermeier, E. (2013). A nearest neigbor approach to label
ranking based on generalized labelwise loss minimization. In In Proceedings
M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing,
China.
bibtex: '@inproceedings{Cheng_Hüllermeier_2013, title={A nearest neigbor approach
to label ranking based on generalized labelwise loss minimization}, booktitle={In
Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference
Handling Beijing, China}, author={Cheng, W. and Hüllermeier, Eyke}, year={2013}
}'
chicago: Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking
Based on Generalized Labelwise Loss Minimization.” In In Proceedings M-PREF`13,
7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China,
2013.
ieee: W. Cheng and E. Hüllermeier, “A nearest neigbor approach to label ranking
based on generalized labelwise loss minimization,” in In Proceedings M-PREF`13,
7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China,
2013.
mla: Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking
Based on Generalized Labelwise Loss Minimization.” In Proceedings M-PREF`13,
7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China,
2013.
short: 'W. Cheng, E. Hüllermeier, in: In Proceedings M-PREF`13, 7th Multidisciplinary
Workshop on Advances in Preference Handling Beijing, China, 2013.'
date_created: 2020-02-03T16:16:33Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances
in Preference Handling Beijing, China
status: public
title: A nearest neigbor approach to label ranking based on generalized labelwise
loss minimization
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15760'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Event history analysis on data streams: An application
to earthquake occurence. In: Krempl G, Zliobaite I, Wang Y, Forman G, eds. In
Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges
for Data Stream Mining, Prague, Czech Republic. ; 2013:38-41.'
apa: 'Shaker, A., & Hüllermeier, E. (2013). Event history analysis on data streams:
An application to earthquake occurence. In G. Krempl, I. Zliobaite, Y. Wang, &
G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop
on Real-World Challenges for Data Stream Mining, Prague, Czech Republic (pp.
38–41).'
bibtex: '@inproceedings{Shaker_Hüllermeier_2013, title={Event history analysis on
data streams: An application to earthquake occurence}, booktitle={In Proceedings
RealStream 2013, 1st International Workshop on Real-World Challenges for Data
Stream Mining, Prague, Czech Republic}, author={Shaker, Ammar and Hüllermeier,
Eyke}, editor={Krempl, G. and Zliobaite, I. and Wang, Y. and Forman, G.Editors},
year={2013}, pages={38–41} }'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Event History Analysis on Data Streams:
An Application to Earthquake Occurence.” In In Proceedings RealStream 2013,
1st International Workshop on Real-World Challenges for Data Stream Mining, Prague,
Czech Republic, edited by G. Krempl, I. Zliobaite, Y. Wang, and G. Forman,
38–41, 2013.'
ieee: 'A. Shaker and E. Hüllermeier, “Event history analysis on data streams: An
application to earthquake occurence,” in In Proceedings RealStream 2013, 1st
International Workshop on Real-World Challenges for Data Stream Mining, Prague,
Czech Republic, 2013, pp. 38–41.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Event History Analysis on Data Streams:
An Application to Earthquake Occurence.” In Proceedings RealStream 2013, 1st
International Workshop on Real-World Challenges for Data Stream Mining, Prague,
Czech Republic, edited by G. Krempl et al., 2013, pp. 38–41.'
short: 'A. Shaker, E. Hüllermeier, in: G. Krempl, I. Zliobaite, Y. Wang, G. Forman
(Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World
Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.'
date_created: 2020-02-03T16:20:10Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: G.
full_name: Krempl, G.
last_name: Krempl
- first_name: I.
full_name: Zliobaite, I.
last_name: Zliobaite
- first_name: Y.
full_name: Wang, Y.
last_name: Wang
- first_name: G.
full_name: Forman, G.
last_name: Forman
language:
- iso: eng
page: 38-41
publication: In Proceedings RealStream 2013, 1st International Workshop on Real-World
Challenges for Data Stream Mining, Prague, Czech Republic
status: public
title: 'Event history analysis on data streams: An application to earthquake occurence'
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15761'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: J.J.
full_name: del Coz, J.J.
last_name: del Coz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Senge R, del Coz JJ, Hüllermeier E. On the problem of error propagation in
classier chains for multi-label classification. Data Analysis, Machine Learning
and Knowledge Discovery. In: Schmidt-Thieme L, Spiliopoulou M, eds. In Proceedings
of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies
in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany
. Springer; 2013.'
apa: Senge, R., del Coz, J. J., & Hüllermeier, E. (2013). On the problem of
error propagation in classier chains for multi-label classification. Data Analysis,
Machine Learning and Knowledge Discovery. In L. Schmidt-Thieme & M. Spiliopoulou
(Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification
Society, Studies in Classification, Data Analysis and Knowledge Organization,
Hildesheim, Germany . Springer.
bibtex: '@inproceedings{Senge_del Coz_Hüllermeier_2013, title={On the problem of
error propagation in classier chains for multi-label classification. Data Analysis,
Machine Learning and Knowledge Discovery}, booktitle={In Proceedings of GFKL-2012,
36th Annual Conference of the German Classification Society, Studies in Classification,
Data Analysis and Knowledge Organization, Hildesheim, Germany }, publisher={Springer},
author={Senge, Robin and del Coz, J.J. and Hüllermeier, Eyke}, editor={Schmidt-Thieme,
L. and Spiliopoulou, M.Editors}, year={2013} }'
chicago: Senge, Robin, J.J. del Coz, and Eyke Hüllermeier. “On the Problem of Error
Propagation in Classier Chains for Multi-Label Classification. Data Analysis,
Machine Learning and Knowledge Discovery.” In In Proceedings of GFKL-2012,
36th Annual Conference of the German Classification Society, Studies in Classification,
Data Analysis and Knowledge Organization, Hildesheim, Germany , edited by
L. Schmidt-Thieme and M. Spiliopoulou. Springer, 2013.
ieee: R. Senge, J. J. del Coz, and E. Hüllermeier, “On the problem of error propagation
in classier chains for multi-label classification. Data Analysis, Machine Learning
and Knowledge Discovery,” in In Proceedings of GFKL-2012, 36th Annual Conference
of the German Classification Society, Studies in Classification, Data Analysis
and Knowledge Organization, Hildesheim, Germany , 2013.
mla: Senge, Robin, et al. “On the Problem of Error Propagation in Classier Chains
for Multi-Label Classification. Data Analysis, Machine Learning and Knowledge
Discovery.” In Proceedings of GFKL-2012, 36th Annual Conference of the German
Classification Society, Studies in Classification, Data Analysis and Knowledge
Organization, Hildesheim, Germany , edited by L. Schmidt-Thieme and M. Spiliopoulou,
Springer, 2013.
short: 'R. Senge, J.J. del Coz, E. Hüllermeier, in: L. Schmidt-Thieme, M. Spiliopoulou
(Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification
Society, Studies in Classification, Data Analysis and Knowledge Organization,
Hildesheim, Germany , Springer, 2013.'
date_created: 2020-02-03T16:27:46Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: L.
full_name: Schmidt-Thieme, L.
last_name: Schmidt-Thieme
- first_name: M.
full_name: Spiliopoulou, M.
last_name: Spiliopoulou
language:
- iso: eng
publication: 'In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification
Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim,
Germany '
publisher: Springer
status: public
title: On the problem of error propagation in classier chains for multi-label classification.
Data Analysis, Machine Learning and Knowledge Discovery
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15763'
author:
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Fober T, Klebe G, Hüllermeier E. Local clique merging: An extension of the
maximum common subgraph measure with applications in structural bioinformatics,
Algorithms from and for Nature and Life. In: Lausen B, Van den Poel D, Ultsch
A, eds. In Proceedings GFKL-2011, Conference of the German Classification Society,
Frankfurt Germany. Springer; 2013:279-286.'
apa: 'Fober, T., Klebe, G., & Hüllermeier, E. (2013). Local clique merging:
An extension of the maximum common subgraph measure with applications in structural
bioinformatics, Algorithms from and for Nature and Life. In B. Lausen, D. Van
den Poel, & A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the
German Classification Society, Frankfurt Germany (pp. 279–286). Springer.'
bibtex: '@inproceedings{Fober_Klebe_Hüllermeier_2013, title={Local clique merging:
An extension of the maximum common subgraph measure with applications in structural
bioinformatics, Algorithms from and for Nature and Life}, booktitle={In Proceedings
GFKL-2011, Conference of the German Classification Society, Frankfurt Germany},
publisher={Springer}, author={Fober, T. and Klebe, G. and Hüllermeier, Eyke},
editor={Lausen, B. and Van den Poel, D. and Ultsch, A.Editors}, year={2013}, pages={279–286}
}'
chicago: 'Fober, T., G. Klebe, and Eyke Hüllermeier. “Local Clique Merging: An Extension
of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics,
Algorithms from and for Nature and Life.” In In Proceedings GFKL-2011, Conference
of the German Classification Society, Frankfurt Germany, edited by B. Lausen,
D. Van den Poel, and A. Ultsch, 279–86. Springer, 2013.'
ieee: 'T. Fober, G. Klebe, and E. Hüllermeier, “Local clique merging: An extension
of the maximum common subgraph measure with applications in structural bioinformatics,
Algorithms from and for Nature and Life,” in In Proceedings GFKL-2011, Conference
of the German Classification Society, Frankfurt Germany, 2013, pp. 279–286.'
mla: 'Fober, T., et al. “Local Clique Merging: An Extension of the Maximum Common
Subgraph Measure with Applications in Structural Bioinformatics, Algorithms from
and for Nature and Life.” In Proceedings GFKL-2011, Conference of the German
Classification Society, Frankfurt Germany, edited by B. Lausen et al., Springer,
2013, pp. 279–86.'
short: 'T. Fober, G. Klebe, E. Hüllermeier, in: B. Lausen, D. Van den Poel, A. Ultsch
(Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society,
Frankfurt Germany, Springer, 2013, pp. 279–286.'
date_created: 2020-02-03T16:36:32Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: B.
full_name: Lausen, B.
last_name: Lausen
- first_name: D.
full_name: Van den Poel, D.
last_name: Van den Poel
- first_name: A.
full_name: Ultsch, A.
last_name: Ultsch
language:
- iso: eng
page: 279-286
publication: In Proceedings GFKL-2011, Conference of the German Classification Society,
Frankfurt Germany
publisher: Springer
status: public
title: 'Local clique merging: An extension of the maximum common subgraph measure
with applications in structural bioinformatics, Algorithms from and for Nature and
Life'
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15112'
author:
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Fallah Tehrani A, Hüllermeier E. Ordinal Choquistic regression . In: Montero
J, Pasi G, Ciucci D, eds. In Proceedings EUSFLAT-2013 8th International Conference
on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis
Press; 2013.'
apa: Fallah Tehrani, A., & Hüllermeier, E. (2013). Ordinal Choquistic regression
. In J. Montero, G. Pasi, & D. Ciucci (Eds.), in Proceedings EUSFLAT-2013
8th International Conference on the European Society for Fuzzy Logic and Technology,
Milano, Italy. Atlantis Press.
bibtex: '@inproceedings{Fallah Tehrani_Hüllermeier_2013, title={Ordinal Choquistic
regression }, booktitle={in Proceedings EUSFLAT-2013 8th International Conference
on the European Society for Fuzzy Logic and Technology, Milano, Italy}, publisher={Atlantis
Press}, author={Fallah Tehrani, A. and Hüllermeier, Eyke}, editor={Montero, J.
and Pasi, G. and Ciucci, D.Editors}, year={2013} }'
chicago: Fallah Tehrani, A., and Eyke Hüllermeier. “Ordinal Choquistic Regression
.” In In Proceedings EUSFLAT-2013 8th International Conference on the European
Society for Fuzzy Logic and Technology, Milano, Italy, edited by J. Montero,
G. Pasi, and D. Ciucci. Atlantis Press, 2013.
ieee: A. Fallah Tehrani and E. Hüllermeier, “Ordinal Choquistic regression ,” in
in Proceedings EUSFLAT-2013 8th International Conference on the European Society
for Fuzzy Logic and Technology, Milano, Italy, 2013.
mla: Fallah Tehrani, A., and Eyke Hüllermeier. “Ordinal Choquistic Regression .”
In Proceedings EUSFLAT-2013 8th International Conference on the European Society
for Fuzzy Logic and Technology, Milano, Italy, edited by J. Montero et al.,
Atlantis Press, 2013.
short: 'A. Fallah Tehrani, E. Hüllermeier, in: J. Montero, G. Pasi, D. Ciucci (Eds.),
In Proceedings EUSFLAT-2013 8th International Conference on the European Society
for Fuzzy Logic and Technology, Milano, Italy, Atlantis Press, 2013.'
date_created: 2019-11-21T16:47:02Z
date_updated: 2022-01-06T06:52:15Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: J.
full_name: Montero, J.
last_name: Montero
- first_name: G.
full_name: Pasi, G.
last_name: Pasi
- first_name: D.
full_name: Ciucci, D.
last_name: Ciucci
language:
- iso: eng
publication: in Proceedings EUSFLAT-2013 8th International Conference on the European
Society for Fuzzy Logic and Technology, Milano, Italy
publisher: Atlantis Press
status: public
title: 'Ordinal Choquistic regression '
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15113'
author:
- first_name: N.
full_name: Nasiri, N.
last_name: Nasiri
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Nasiri N, Fober T, Senge R, Hüllermeier E. Fuzzy Pattern Trees as an alternative
to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling
of colour yield in poyester dyeing, Edmonton, Canada. In: In Proceedings IFSA-2013
World Congress of the International Fuzzy Systems Association, Edmonton, Canada.
; 2013:715-721.'
apa: 'Nasiri, N., Fober, T., Senge, R., & Hüllermeier, E. (2013). Fuzzy Pattern
Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven
and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada. In in
Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association,
Edmonton, Canada (pp. 715–721).'
bibtex: '@inproceedings{Nasiri_Fober_Senge_Hüllermeier_2013, title={Fuzzy Pattern
Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven
and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada}, booktitle={in
Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association,
Edmonton, Canada}, author={Nasiri, N. and Fober, T. and Senge, Robin and Hüllermeier,
Eyke}, year={2013}, pages={715–721} }'
chicago: 'Nasiri, N., T. Fober, Robin Senge, and Eyke Hüllermeier. “Fuzzy Pattern
Trees as an Alternative to Rule-Based Fuzzy Systems: Knowledge-Driven, Data-Driven
and Hybrid Modeling of Colour Yield in Poyester Dyeing, Edmonton, Canada.” In
In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems
Association, Edmonton, Canada, 715–21, 2013.'
ieee: 'N. Nasiri, T. Fober, R. Senge, and E. Hüllermeier, “Fuzzy Pattern Trees as
an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and
hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada,” in in
Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association,
Edmonton, Canada, 2013, pp. 715–721.'
mla: 'Nasiri, N., et al. “Fuzzy Pattern Trees as an Alternative to Rule-Based Fuzzy
Systems: Knowledge-Driven, Data-Driven and Hybrid Modeling of Colour Yield in
Poyester Dyeing, Edmonton, Canada.” In Proceedings IFSA-2013 World Congress
of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp.
715–21.'
short: 'N. Nasiri, T. Fober, R. Senge, E. Hüllermeier, in: In Proceedings IFSA-2013
World Congress of the International Fuzzy Systems Association, Edmonton, Canada,
2013, pp. 715–721.'
date_created: 2019-11-21T16:52:00Z
date_updated: 2022-01-06T06:52:15Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 715-721
publication: in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems
Association, Edmonton, Canada
status: public
title: 'Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven,
data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada'
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '16044'
author:
- first_name: D.
full_name: Heider, D.
last_name: Heider
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Heider D, Senge R, Cheng W, Hüllermeier E. Multilabel classification for exploiting
cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics.
2013;29(16):1946-1952.
apa: Heider, D., Senge, R., Cheng, W., & Hüllermeier, E. (2013). Multilabel
classification for exploiting cross-resistance information in HIV-1 drug resistence
prediction. Bioinformatics, 29(16), 1946–1952.
bibtex: '@article{Heider_Senge_Cheng_Hüllermeier_2013, title={Multilabel classification
for exploiting cross-resistance information in HIV-1 drug resistence prediction},
volume={29}, number={16}, journal={Bioinformatics}, author={Heider, D. and Senge,
Robin and Cheng, W. and Hüllermeier, Eyke}, year={2013}, pages={1946–1952} }'
chicago: 'Heider, D., Robin Senge, W. Cheng, and Eyke Hüllermeier. “Multilabel Classification
for Exploiting Cross-Resistance Information in HIV-1 Drug Resistence Prediction.”
Bioinformatics 29, no. 16 (2013): 1946–52.'
ieee: D. Heider, R. Senge, W. Cheng, and E. Hüllermeier, “Multilabel classification
for exploiting cross-resistance information in HIV-1 drug resistence prediction,”
Bioinformatics, vol. 29, no. 16, pp. 1946–1952, 2013.
mla: Heider, D., et al. “Multilabel Classification for Exploiting Cross-Resistance
Information in HIV-1 Drug Resistence Prediction.” Bioinformatics, vol.
29, no. 16, 2013, pp. 1946–52.
short: D. Heider, R. Senge, W. Cheng, E. Hüllermeier, Bioinformatics 29 (2013) 1946–1952.
date_created: 2020-02-24T16:08:50Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 29'
issue: '16'
language:
- iso: eng
page: 1946-1952
publication: Bioinformatics
status: public
title: Multilabel classification for exploiting cross-resistance information in HIV-1
drug resistence prediction
type: journal_article
user_id: '49109'
volume: 29
year: '2013'
...