---
_id: '15397'
author:
- first_name: Vitaly
full_name: Melnikov, Vitaly
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Optimizing the structure of nested dichotomies.
A comparison of two heuristics. In: Hoffmann F, Hüllermeier E, Mikut R, eds. In
Proceedings 27th Workshop Computational Intelligence, Dortmund Germany. KIT
Scientific Publishing; 2017:1-12.'
apa: Melnikov, V., & Hüllermeier, E. (2017). Optimizing the structure of nested
dichotomies. A comparison of two heuristics. In F. Hoffmann, E. Hüllermeier, &
R. Mikut (Eds.), in Proceedings 27th Workshop Computational Intelligence, Dortmund
Germany (pp. 1–12). KIT Scientific Publishing.
bibtex: '@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the structure
of nested dichotomies. A comparison of two heuristics}, booktitle={in Proceedings
27th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific
Publishing}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, editor={Hoffmann,
F. and Hüllermeier, Eyke and Mikut, R.Editors}, year={2017}, pages={1–12} }'
chicago: Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested
Dichotomies. A Comparison of Two Heuristics.” In In Proceedings 27th Workshop
Computational Intelligence, Dortmund Germany, edited by F. Hoffmann, Eyke
Hüllermeier, and R. Mikut, 1–12. KIT Scientific Publishing, 2017.
ieee: V. Melnikov and E. Hüllermeier, “Optimizing the structure of nested dichotomies.
A comparison of two heuristics,” in in Proceedings 27th Workshop Computational
Intelligence, Dortmund Germany, 2017, pp. 1–12.
mla: Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested
Dichotomies. A Comparison of Two Heuristics.” In Proceedings 27th Workshop
Computational Intelligence, Dortmund Germany, edited by F. Hoffmann et al.,
KIT Scientific Publishing, 2017, pp. 1–12.
short: 'V. Melnikov, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.),
In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, KIT
Scientific Publishing, 2017, pp. 1–12.'
date_created: 2019-12-19T15:48:38Z
date_updated: 2022-01-06T06:52:22Z
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
- first_name: R.
full_name: Mikut, R.
last_name: Mikut
language:
- iso: eng
page: 1-12
publication: in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany
publisher: KIT Scientific Publishing
status: public
title: Optimizing the structure of nested dichotomies. A comparison of two heuristics
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '15399'
author:
- first_name: M.
full_name: Czech, M.
last_name: Czech
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.C.
full_name: Jacobs, M.C.
last_name: Jacobs
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
citation:
ama: 'Czech M, Hüllermeier E, Jacobs MC, Wehrheim H. Predicting rankings of software
verification tools. In: In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT,
International Workshop on Software Analytics (SWAN 2017), Paderborn Germany.
; 2017.'
apa: Czech, M., Hüllermeier, E., Jacobs, M. C., & Wehrheim, H. (2017). Predicting
rankings of software verification tools. In in Proceedings ESEC/FSE Workshops
2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017),
Paderborn Germany.
bibtex: '@inproceedings{Czech_Hüllermeier_Jacobs_Wehrheim_2017, title={Predicting
rankings of software verification tools}, booktitle={in Proceedings ESEC/FSE Workshops
2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017),
Paderborn Germany}, author={Czech, M. and Hüllermeier, Eyke and Jacobs, M.C. and
Wehrheim, Heike}, year={2017} }'
chicago: Czech, M., Eyke Hüllermeier, M.C. Jacobs, and Heike Wehrheim. “Predicting
Rankings of Software Verification Tools.” In In Proceedings ESEC/FSE Workshops
2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017),
Paderborn Germany, 2017.
ieee: M. Czech, E. Hüllermeier, M. C. Jacobs, and H. Wehrheim, “Predicting rankings
of software verification tools,” in in Proceedings ESEC/FSE Workshops 2017
- 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn
Germany, 2017.
mla: Czech, M., et al. “Predicting Rankings of Software Verification Tools.” In
Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop
on Software Analytics (SWAN 2017), Paderborn Germany, 2017.
short: 'M. Czech, E. Hüllermeier, M.C. Jacobs, H. Wehrheim, in: In Proceedings ESEC/FSE
Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics
(SWAN 2017), Paderborn Germany, 2017.'
date_created: 2019-12-19T15:59:42Z
date_updated: 2022-01-06T06:52:22Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International
Workshop on Software Analytics (SWAN 2017), Paderborn Germany
status: public
title: Predicting rankings of software verification tools
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '15110'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: D.
full_name: Dubois, D.
last_name: Dubois
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Couso I, Dubois D, Hüllermeier E. Maximum likelihood estimation and coarse
data. In: In Proceedings SUM 2017, 11th International Conference on Scalable
Uncertainty Management, Granada, Spain. Springer; 2017:3-16.'
apa: Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum likelihood estimation
and coarse data. In in Proceedings SUM 2017, 11th International Conference
on Scalable Uncertainty Management, Granada, Spain (pp. 3–16). Springer.
bibtex: '@inproceedings{Couso_Dubois_Hüllermeier_2017, title={Maximum likelihood
estimation and coarse data}, booktitle={in Proceedings SUM 2017, 11th International
Conference on Scalable Uncertainty Management, Granada, Spain}, publisher={Springer},
author={Couso, Ines and Dubois, D. and Hüllermeier, Eyke}, year={2017}, pages={3–16}
}'
chicago: Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation
and Coarse Data.” In In Proceedings SUM 2017, 11th International Conference
on Scalable Uncertainty Management, Granada, Spain, 3–16. Springer, 2017.
ieee: I. Couso, D. Dubois, and E. Hüllermeier, “Maximum likelihood estimation and
coarse data,” in in Proceedings SUM 2017, 11th International Conference on
Scalable Uncertainty Management, Granada, Spain, 2017, pp. 3–16.
mla: Couso, Ines, et al. “Maximum Likelihood Estimation and Coarse Data.” In
Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management,
Granada, Spain, Springer, 2017, pp. 3–16.
short: 'I. Couso, D. Dubois, E. Hüllermeier, in: In Proceedings SUM 2017, 11th International
Conference on Scalable Uncertainty Management, Granada, Spain, Springer, 2017,
pp. 3–16.'
date_created: 2019-11-21T16:38:39Z
date_updated: 2022-01-06T06:52:15Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 3-16
publication: in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty
Management, Granada, Spain
publisher: Springer
status: public
title: Maximum likelihood estimation and coarse data
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10204'
author:
- first_name: Ralph
full_name: Ewerth, Ralph
last_name: Ewerth
- first_name: M.
full_name: Springstein, M.
last_name: Springstein
- first_name: E.
full_name: Müller, E.
last_name: Müller
- first_name: A.
full_name: Balz, A.
last_name: Balz
- first_name: J.
full_name: Gehlhaar, J.
last_name: Gehlhaar
- first_name: T.
full_name: Naziyok, T.
last_name: Naziyok
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ewerth R, Springstein M, Müller E, et al. Estimating relative depth in single
images via rankboost. In: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME
2017). ; 2017:919-924.'
apa: Ewerth, R., Springstein, M., Müller, E., Balz, A., Gehlhaar, J., Naziyok, T.,
… Hüllermeier, E. (2017). Estimating relative depth in single images via rankboost.
In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017) (pp. 919–924).
bibtex: '@inproceedings{Ewerth_Springstein_Müller_Balz_Gehlhaar_Naziyok_Dembczynski_Hüllermeier_2017,
title={Estimating relative depth in single images via rankboost}, booktitle={Proc.
IEEE Int. Conf. on Multimedia and Expo (ICME 2017)}, author={Ewerth, Ralph and
Springstein, M. and Müller, E. and Balz, A. and Gehlhaar, J. and Naziyok, T. and
Dembczynski, K. and Hüllermeier, Eyke}, year={2017}, pages={919–924} }'
chicago: Ewerth, Ralph, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok,
K. Dembczynski, and Eyke Hüllermeier. “Estimating Relative Depth in Single Images
via Rankboost.” In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017),
919–24, 2017.
ieee: R. Ewerth et al., “Estimating relative depth in single images via rankboost,”
in Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp.
919–924.
mla: Ewerth, Ralph, et al. “Estimating Relative Depth in Single Images via Rankboost.”
Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–24.
short: 'R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok,
K. Dembczynski, E. Hüllermeier, in: Proc. IEEE Int. Conf. on Multimedia and Expo
(ICME 2017), 2017, pp. 919–924.'
date_created: 2019-06-07T15:18:24Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 919-924
publication: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017)
status: public
title: Estimating relative depth in single images via rankboost
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10205'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E, Couso I. Statistical Inference for Incomplete
Ranking Data: The Case of Rank-Dependent Coarsening. In: Proc. 34th Int. Conf.
on Machine Learning (ICML 2017). ; 2017:1078-1087.'
apa: 'Ahmadi Fahandar, M., Hüllermeier, E., & Couso, I. (2017). Statistical
Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.
In Proc. 34th Int. Conf. on Machine Learning (ICML 2017) (pp. 1078–1087).'
bibtex: '@inproceedings{Ahmadi Fahandar_Hüllermeier_Couso_2017, title={Statistical
Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening},
booktitle={Proc. 34th Int. Conf. on Machine Learning (ICML 2017)}, author={Ahmadi
Fahandar, Mohsen and Hüllermeier, Eyke and Couso, Ines}, year={2017}, pages={1078–1087}
}'
chicago: 'Ahmadi Fahandar, Mohsen, Eyke Hüllermeier, and Ines Couso. “Statistical
Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.”
In Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 1078–87, 2017.'
ieee: 'M. Ahmadi Fahandar, E. Hüllermeier, and I. Couso, “Statistical Inference
for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening,” in Proc.
34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.'
mla: 'Ahmadi Fahandar, Mohsen, et al. “Statistical Inference for Incomplete Ranking
Data: The Case of Rank-Dependent Coarsening.” Proc. 34th Int. Conf. on Machine
Learning (ICML 2017), 2017, pp. 1078–87.'
short: 'M. Ahmadi Fahandar, E. Hüllermeier, I. Couso, in: Proc. 34th Int. Conf.
on Machine Learning (ICML 2017), 2017, pp. 1078–1087.'
date_created: 2019-06-07T15:22:01Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1078-1087
publication: Proc. 34th Int. Conf. on Machine Learning (ICML 2017)
status: public
title: 'Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening'
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10206'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Theodor
full_name: Lettmann, Theodor
id: '315'
last_name: Lettmann
orcid: 0000-0001-5859-2457
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Mohr F, Lettmann T, Hüllermeier E. Planning with Independent Task Networks.
In: Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017). ; 2017:193-206. doi:10.1007/978-3-319-67190-1_15'
apa: Mohr, F., Lettmann, T., & Hüllermeier, E. (2017). Planning with Independent
Task Networks. In Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017) (pp. 193–206). https://doi.org/10.1007/978-3-319-67190-1_15
bibtex: '@inproceedings{Mohr_Lettmann_Hüllermeier_2017, title={Planning with Independent
Task Networks}, DOI={10.1007/978-3-319-67190-1_15},
booktitle={Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017)}, author={Mohr, Felix and Lettmann, Theodor and Hüllermeier, Eyke},
year={2017}, pages={193–206} }'
chicago: Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent
Task Networks.” In Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017), 193–206, 2017. https://doi.org/10.1007/978-3-319-67190-1_15.
ieee: F. Mohr, T. Lettmann, and E. Hüllermeier, “Planning with Independent Task
Networks,” in Proc. 40th Annual German Conference on Advances in Artificial
Intelligence (KI 2017), 2017, pp. 193–206.
mla: Mohr, Felix, et al. “Planning with Independent Task Networks.” Proc. 40th
Annual German Conference on Advances in Artificial Intelligence (KI 2017),
2017, pp. 193–206, doi:10.1007/978-3-319-67190-1_15.
short: 'F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference
on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.'
date_created: 2019-06-07T15:24:16Z
date_updated: 2022-01-06T06:50:31Z
ddc:
- '000'
department:
- _id: '7'
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-319-67190-1_15
file:
- access_level: open_access
content_type: application/pdf
creator: lettmann
date_created: 2020-02-28T12:50:18Z
date_updated: 2020-02-28T12:50:18Z
file_id: '16157'
file_name: ki17.pdf
file_size: 374421
relation: main_file
file_date_updated: 2020-02-28T12:50:18Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 193-206
publication: Proc. 40th Annual German Conference on Advances in Artificial Intelligence
(KI 2017)
status: public
title: Planning with Independent Task Networks
type: conference
user_id: '315'
year: '2017'
...
---
_id: '10207'
author:
- first_name: M.
full_name: Czech, M.
last_name: Czech
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.-C.
full_name: Jakobs, M.-C.
last_name: Jakobs
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Czech M, Hüllermeier E, Jakobs M-C, Wehrheim H. Predicting rankings of software
verification tools. In: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics
(SWAN@ESEC/SIGSOFT FSE 2017. ; 2017:23-26.'
apa: Czech, M., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (2017). Predicting
rankings of software verification tools. In Proc. 3rd ACM SIGSOFT Int. I Workshop
on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017 (pp. 23–26).
bibtex: '@inproceedings{Czech_Hüllermeier_Jakobs_Wehrheim_2017, title={Predicting
rankings of software verification tools}, booktitle={Proc. 3rd ACM SIGSOFT Int.
I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017}, author={Czech,
M. and Hüllermeier, Eyke and Jakobs, M.-C. and Wehrheim, Heike}, year={2017},
pages={23–26} }'
chicago: Czech, M., Eyke Hüllermeier, M.-C. Jakobs, and Heike Wehrheim. “Predicting
Rankings of Software Verification Tools.” In Proc. 3rd ACM SIGSOFT Int. I Workshop
on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 23–26, 2017.
ieee: M. Czech, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Predicting rankings
of software verification tools,” in Proc. 3rd ACM SIGSOFT Int. I Workshop on
Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.
mla: Czech, M., et al. “Predicting Rankings of Software Verification Tools.” Proc.
3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017,
2017, pp. 23–26.
short: 'M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proc. 3rd ACM SIGSOFT
Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.'
date_created: 2019-06-07T15:27:47Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 23-26
publication: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT
FSE 2017
status: public
title: Predicting rankings of software verification tools
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10208'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: D.
full_name: Dubois, D.
last_name: Dubois
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Couso I, Dubois D, Hüllermeier E. Maximum Likelihood Estimation and Coarse
Data. In: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017).
; 2017:3-16.'
apa: Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum Likelihood Estimation
and Coarse Data. In Proc. 11th Int. Conf. on Scalable Uncertainty Management
(SUM 2017) (pp. 3–16).
bibtex: '@inproceedings{Couso_Dubois_Hüllermeier_2017, title={Maximum Likelihood
Estimation and Coarse Data}, booktitle={Proc. 11th Int. Conf. on Scalable Uncertainty
Management (SUM 2017)}, author={Couso, Ines and Dubois, D. and Hüllermeier, Eyke},
year={2017}, pages={3–16} }'
chicago: Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation
and Coarse Data.” In Proc. 11th Int. Conf. on Scalable Uncertainty Management
(SUM 2017), 3–16, 2017.
ieee: I. Couso, D. Dubois, and E. Hüllermeier, “Maximum Likelihood Estimation and
Coarse Data,” in Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM
2017), 2017, pp. 3–16.
mla: Couso, Ines, et al. “Maximum Likelihood Estimation and Coarse Data.” Proc.
11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.
short: 'I. Couso, D. Dubois, E. Hüllermeier, in: Proc. 11th Int. Conf. on Scalable
Uncertainty Management (SUM 2017), 2017, pp. 3–16.'
date_created: 2019-06-07T15:30:48Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 3-16
publication: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017)
status: public
title: Maximum Likelihood Estimation and Coarse Data
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10209'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E. Learning to Rank based on Analogical Reasoning.
In: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence. ;
2017.'
apa: Ahmadi Fahandar, M., & Hüllermeier, E. (2017). Learning to Rank based on
Analogical Reasoning. In Proc. AAAI 2017, 32nd AAAI Conference on Artificial
Intelligence.
bibtex: '@inproceedings{Ahmadi Fahandar_Hüllermeier_2017, title={Learning to Rank
based on Analogical Reasoning}, booktitle={Proc. AAAI 2017, 32nd AAAI Conference
on Artificial Intelligence}, author={Ahmadi Fahandar, Mohsen and Hüllermeier,
Eyke}, year={2017} }'
chicago: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based
on Analogical Reasoning.” In Proc. AAAI 2017, 32nd AAAI Conference on Artificial
Intelligence, 2017.
ieee: M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank based on Analogical
Reasoning,” in Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence,
2017.
mla: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical
Reasoning.” Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence,
2017.
short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. AAAI 2017, 32nd AAAI Conference
on Artificial Intelligence, 2017.'
date_created: 2019-06-07T15:33:14Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence
status: public
title: Learning to Rank based on Analogical Reasoning
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10212'
author:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Mikut, R.
last_name: Mikut
citation:
ama: 'Hoffmann F, Hüllermeier E, Mikut R. (Hrsg.) Proceedings 27. Workshop Computational
Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017. In: ; 2017.'
apa: Hoffmann, F., Hüllermeier, E., & Mikut, R. (2017). (Hrsg.) Proceedings
27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe,
Germany 2017.
bibtex: '@inproceedings{Hoffmann_Hüllermeier_Mikut_2017, title={(Hrsg.) Proceedings
27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe,
Germany 2017}, author={Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.}, year={2017}
}'
chicago: Hoffmann, F., Eyke Hüllermeier, and R. Mikut. “(Hrsg.) Proceedings 27.
Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany
2017,” 2017.
ieee: F. Hoffmann, E. Hüllermeier, and R. Mikut, “(Hrsg.) Proceedings 27. Workshop
Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,”
2017.
mla: Hoffmann, F., et al. (Hrsg.) Proceedings 27. Workshop Computational Intelligence,
KIT Scientific Publishing, Karlsruhe, Germany 2017. 2017.
short: 'F. Hoffmann, E. Hüllermeier, R. Mikut, in: 2017.'
date_created: 2019-06-07T15:46:10Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
status: public
title: (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific
Publishing, Karlsruhe, Germany 2017
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10213'
author:
- first_name: Vitaly
full_name: Melnikov, Vitaly
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Optimizing the Structure of Nested Dichotomies:
A Comparison of Two Heuristics. In: Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017. ; 2017:1-12.'
apa: 'Melnikov, V., & Hüllermeier, E. (2017). Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics. In Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017 (pp. 1–12).'
bibtex: '@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the Structure
of Nested Dichotomies: A Comparison of Two Heuristics}, booktitle={Proceedings
27. Workshop Computational Intelligence, Dortmund, Germany 2017}, author={Melnikov,
Vitaly and Hüllermeier, Eyke}, year={2017}, pages={1–12} }'
chicago: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics.” In Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 1–12, 2017.'
ieee: 'V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies:
A Comparison of Two Heuristics,” in Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.'
mla: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested
Dichotomies: A Comparison of Two Heuristics.” Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.'
short: 'V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational
Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.'
date_created: 2019-06-07T15:49:36Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1-12
publication: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany
2017
status: public
title: 'Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics'
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10216'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: W.
full_name: Heldt, W.
last_name: Heldt
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Heldt W, Hüllermeier E. Learning TSK Fuzzy Rules from Data Streams.
In: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases, Skopje, Macedonia. ; 2017.'
apa: Shaker, A., Heldt, W., & Hüllermeier, E. (2017). Learning TSK Fuzzy Rules
from Data Streams. In Proceedings ECML/PKDD, European Conference on Machine
Learning and Knowledge Discovery in Databases, Skopje, Macedonia.
bibtex: '@inproceedings{Shaker_Heldt_Hüllermeier_2017, title={Learning TSK Fuzzy
Rules from Data Streams}, booktitle={Proceedings ECML/PKDD, European Conference
on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia},
author={Shaker, Ammar and Heldt, W. and Hüllermeier, Eyke}, year={2017} }'
chicago: Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules
from Data Streams.” In Proceedings ECML/PKDD, European Conference on Machine
Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
ieee: A. Shaker, W. Heldt, and E. Hüllermeier, “Learning TSK Fuzzy Rules from Data
Streams,” in Proceedings ECML/PKDD, European Conference on Machine Learning
and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.
mla: Shaker, Ammar, et al. “Learning TSK Fuzzy Rules from Data Streams.” Proceedings
ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in
Databases, Skopje, Macedonia, 2017.
short: 'A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European
Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia,
2017.'
date_created: 2019-06-07T16:00:10Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases, Skopje, Macedonia
status: public
title: Learning TSK Fuzzy Rules from Data Streams
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '10267'
author:
- first_name: M.
full_name: Bräuning, M.
last_name: Bräuning
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: T.
full_name: Keller, T.
last_name: Keller
- first_name: M.
full_name: Glaum, M.
last_name: Glaum
citation:
ama: Bräuning M, Hüllermeier E, Keller T, Glaum M. Lexicographic preferences for
predictive modeling of human decision making. A new machine learning method with
an application in accounting. European Journal of Operational Research.
2017;258(1):295-306.
apa: Bräuning, M., Hüllermeier, E., Keller, T., & Glaum, M. (2017). Lexicographic
preferences for predictive modeling of human decision making. A new machine learning
method with an application in accounting. European Journal of Operational
Research, 258(1), 295–306.
bibtex: '@article{Bräuning_Hüllermeier_Keller_Glaum_2017, title={Lexicographic preferences
for predictive modeling of human decision making. A new machine learning method
with an application in accounting}, volume={258}, number={1}, journal={European
Journal of Operational Research}, author={Bräuning, M. and Hüllermeier, Eyke and
Keller, T. and Glaum, M.}, year={2017}, pages={295–306} }'
chicago: 'Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic
Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning
Method with an Application in Accounting.” European Journal of Operational
Research 258, no. 1 (2017): 295–306.'
ieee: M. Bräuning, E. Hüllermeier, T. Keller, and M. Glaum, “Lexicographic preferences
for predictive modeling of human decision making. A new machine learning method
with an application in accounting,” European Journal of Operational Research,
vol. 258, no. 1, pp. 295–306, 2017.
mla: Bräuning, M., et al. “Lexicographic Preferences for Predictive Modeling of
Human Decision Making. A New Machine Learning Method with an Application in Accounting.”
European Journal of Operational Research, vol. 258, no. 1, 2017, pp. 295–306.
short: M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational
Research 258 (2017) 295–306.
date_created: 2019-06-18T15:43:40Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 258'
issue: '1'
language:
- iso: eng
page: 295-306
publication: European Journal of Operational Research
status: public
title: Lexicographic preferences for predictive modeling of human decision making.
A new machine learning method with an application in accounting
type: journal_article
user_id: '49109'
volume: 258
year: '2017'
...
---
_id: '10268'
author:
- first_name: M.-C.
full_name: Platenius, M.-C.
last_name: Platenius
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: M.
full_name: Becker, M.
last_name: Becker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: W.
full_name: Schäfer, W.
last_name: Schäfer
citation:
ama: Platenius M-C, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching
of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE
Transactions on Software Engineering. 2017;43(8):739-759.
apa: Platenius, M.-C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W.
(2017). Imprecise Matching of Requirements Specifications for Software Services
Using Fuzzy Logic. IEEE Transactions on Software Engineering, 43(8),
739–759.
bibtex: '@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2017, title={Imprecise
Matching of Requirements Specifications for Software Services Using Fuzzy Logic},
volume={43}, number={8}, journal={IEEE Transactions on Software Engineering},
author={Platenius, M.-C. and Shaker, Ammar and Becker, M. and Hüllermeier, Eyke
and Schäfer, W.}, year={2017}, pages={739–759} }'
chicago: 'Platenius, M.-C., Ammar Shaker, M. Becker, Eyke Hüllermeier, and W. Schäfer.
“Imprecise Matching of Requirements Specifications for Software Services Using
Fuzzy Logic.” IEEE Transactions on Software Engineering 43, no. 8 (2017):
739–59.'
ieee: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise
Matching of Requirements Specifications for Software Services Using Fuzzy Logic,”
IEEE Transactions on Software Engineering, vol. 43, no. 8, pp. 739–759,
2017.
mla: Platenius, M. C., et al. “Imprecise Matching of Requirements Specifications
for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering,
vol. 43, no. 8, 2017, pp. 739–59.
short: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions
on Software Engineering 43 (2017) 739–759.
date_created: 2019-06-18T15:47:33Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 43'
issue: '8'
language:
- iso: eng
page: 739-759
publication: IEEE Transactions on Software Engineering
status: public
title: Imprecise Matching of Requirements Specifications for Software Services Using
Fuzzy Logic
type: journal_article
user_id: '49109'
volume: 43
year: '2017'
...
---
_id: '10269'
article_number: 'abs/1712.00646 '
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based
Systems: A Critical Reflection. The Computing Research Repository (CoRR).
2017.'
apa: 'Hüllermeier, E. (2017). From Knowledge-based to Data-driven Modeling of Fuzzy
Rule-based Systems: A Critical Reflection. The Computing Research Repository
(CoRR).'
bibtex: '@article{Hüllermeier_2017, title={From Knowledge-based to Data-driven Modeling
of Fuzzy Rule-based Systems: A Critical Reflection}, number={abs/1712.00646},
journal={The Computing Research Repository (CoRR)}, author={Hüllermeier, Eyke},
year={2017} }'
chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy
Rule-Based Systems: A Critical Reflection.” The Computing Research Repository
(CoRR), 2017.'
ieee: 'E. Hüllermeier, “From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based
Systems: A Critical Reflection,” The Computing Research Repository (CoRR),
2017.'
mla: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy
Rule-Based Systems: A Critical Reflection.” The Computing Research Repository
(CoRR), abs/1712.00646, 2017.'
short: E. Hüllermeier, The Computing Research Repository (CoRR) (2017).
date_created: 2019-06-18T15:53:28Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: The Computing Research Repository (CoRR)
status: public
title: 'From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems:
A Critical Reflection'
type: journal_article
user_id: '49109'
year: '2017'
...
---
_id: '24154'
author:
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Shalabh
full_name: Bhatnagar, Shalabh
last_name: Bhatnagar
citation:
ama: Ramaswamy A, Bhatnagar S. Stochastic recursive inclusion in two timescales
with an application to the lagrangian dual problem. Stochastics. 2016;88(8):1173-1187.
apa: Ramaswamy, A., & Bhatnagar, S. (2016). Stochastic recursive inclusion in
two timescales with an application to the lagrangian dual problem. Stochastics,
88(8), 1173–1187.
bibtex: '@article{Ramaswamy_Bhatnagar_2016, title={Stochastic recursive inclusion
in two timescales with an application to the lagrangian dual problem}, volume={88},
number={8}, journal={Stochastics}, publisher={Taylor \& Francis}, author={Ramaswamy,
Arunselvan and Bhatnagar, Shalabh}, year={2016}, pages={1173–1187} }'
chicago: 'Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion
in Two Timescales with an Application to the Lagrangian Dual Problem.” Stochastics
88, no. 8 (2016): 1173–87.'
ieee: A. Ramaswamy and S. Bhatnagar, “Stochastic recursive inclusion in two timescales
with an application to the lagrangian dual problem,” Stochastics, vol.
88, no. 8, pp. 1173–1187, 2016.
mla: Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion
in Two Timescales with an Application to the Lagrangian Dual Problem.” Stochastics,
vol. 88, no. 8, Taylor \& Francis, 2016, pp. 1173–87.
short: A. Ramaswamy, S. Bhatnagar, Stochastics 88 (2016) 1173–1187.
date_created: 2021-09-10T10:21:49Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '355'
extern: '1'
intvolume: ' 88'
issue: '8'
language:
- iso: eng
page: 1173-1187
publication: Stochastics
publisher: Taylor \& Francis
status: public
title: Stochastic recursive inclusion in two timescales with an application to the
lagrangian dual problem
type: journal_article
user_id: '66937'
volume: 88
year: '2016'
...
---
_id: '3318'
author:
- first_name: Vitalik
full_name: Melnikov, Vitalik
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Daniel
full_name: Kaimann, Daniel
id: '18949'
last_name: Kaimann
- first_name: 'Bernd '
full_name: 'Frick, Bernd '
last_name: Frick
- first_name: ' Pritha '
full_name: 'Gupta, Pritha '
last_name: Gupta
citation:
ama: 'Melnikov V, Hüllermeier E, Kaimann D, Frick B, Gupta Pritha . Pairwise versus
Pointwise Ranking: A Case Study. Schedae Informaticae. 2016;25. doi:10.4467/20838476si.16.006.6187'
apa: 'Melnikov, V., Hüllermeier, E., Kaimann, D., Frick, B., & Gupta, Pritha
. (2016). Pairwise versus Pointwise Ranking: A Case Study. Schedae Informaticae,
25. https://doi.org/10.4467/20838476si.16.006.6187'
bibtex: '@article{Melnikov_Hüllermeier_Kaimann_Frick_Gupta_2016, title={Pairwise
versus Pointwise Ranking: A Case Study}, volume={25}, DOI={10.4467/20838476si.16.006.6187},
journal={Schedae Informaticae}, publisher={Uniwersytet Jagiellonski - Wydawnictwo
Uniwersytetu Jagiellonskiego}, author={Melnikov, Vitalik and Hüllermeier, Eyke
and Kaimann, Daniel and Frick, Bernd and Gupta, Pritha }, year={2016} }'
chicago: 'Melnikov, Vitalik, Eyke Hüllermeier, Daniel Kaimann, Bernd Frick, and Pritha Gupta.
“Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae
25 (2016). https://doi.org/10.4467/20838476si.16.006.6187.'
ieee: 'V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick, and Pritha Gupta, “Pairwise
versus Pointwise Ranking: A Case Study,” Schedae Informaticae, vol. 25,
2016.'
mla: 'Melnikov, Vitalik, et al. “Pairwise versus Pointwise Ranking: A Case Study.”
Schedae Informaticae, vol. 25, Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu
Jagiellonskiego, 2016, doi:10.4467/20838476si.16.006.6187.'
short: V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick, Pritha Gupta, Schedae
Informaticae 25 (2016).
date_created: 2018-06-22T14:49:40Z
date_updated: 2022-01-06T06:59:10Z
ddc:
- '000'
department:
- _id: '355'
- _id: '183'
doi: 10.4467/20838476si.16.006.6187
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T15:54:38Z
date_updated: 2018-11-02T15:54:38Z
file_id: '5317'
file_name: roz-6-Melnikov.pdf
file_size: 1002478
relation: main_file
success: 1
file_date_updated: 2018-11-02T15:54:38Z
has_accepted_license: '1'
intvolume: ' 25'
language:
- iso: eng
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '11'
name: SFB 901 - Subproject B3
- _id: '8'
name: SFB 901 - Subproject A4
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
publication: Schedae Informaticae
publication_identifier:
issn:
- 2083-8476
publication_status: published
publisher: Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego
status: public
title: 'Pairwise versus Pointwise Ranking: A Case Study'
type: journal_article
user_id: '15504'
volume: 25
year: '2016'
...
---
_id: '190'
abstract:
- lang: eng
text: Today, software components are provided by global markets in the form of services.
In order to optimally satisfy service requesters and service providers, adequate
techniques for automatic service matching are needed. However, a requester’s requirements
may be vague and the information available about a provided service may be incomplete.
As a consequence, fuzziness is induced into the matching procedure. The contribution
of this paper is the development of a systematic matching procedure that leverages
concepts and techniques from fuzzy logic and possibility theory based on our formal
distinction between different sources and types of fuzziness in the context of
service matching. In contrast to existing methods, our approach is able to deal
with imprecision and incompleteness in service specifications and to inform users
about the extent of induced fuzziness in order to improve the user’s decision-making.
We demonstrate our approach on the example of specifications for service reputation
based on ratings given by previous users. Our evaluation based on real service
ratings shows the utility and applicability of our approach.
author:
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Matthias
full_name: Becker, Matthias
last_name: Becker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Wilhelm
full_name: Schäfer, Wilhelm
last_name: Schäfer
citation:
ama: Platenius MC, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching
of Requirements Specifications for Software Services using Fuzzy Logic. IEEE
Transactions on Software Engineering (TSE), presented at ICSE 2017. 2016;(8):739-759.
doi:10.1109/TSE.2016.2632115
apa: Platenius, M. C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W.
(2016). Imprecise Matching of Requirements Specifications for Software Services
using Fuzzy Logic. IEEE Transactions on Software Engineering (TSE), Presented
at ICSE 2017, (8), 739–759. https://doi.org/10.1109/TSE.2016.2632115
bibtex: '@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2016, title={Imprecise
Matching of Requirements Specifications for Software Services using Fuzzy Logic},
DOI={10.1109/TSE.2016.2632115},
number={8}, journal={IEEE Transactions on Software Engineering (TSE), presented
at ICSE 2017}, publisher={IEEE}, author={Platenius, Marie Christin and Shaker,
Ammar and Becker, Matthias and Hüllermeier, Eyke and Schäfer, Wilhelm}, year={2016},
pages={739–759} }'
chicago: 'Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier,
and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software
Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE),
Presented at ICSE 2017, no. 8 (2016): 739–59. https://doi.org/10.1109/TSE.2016.2632115.'
ieee: M. C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise
Matching of Requirements Specifications for Software Services using Fuzzy Logic,”
IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017,
no. 8, pp. 739–759, 2016.
mla: Platenius, Marie Christin, et al. “Imprecise Matching of Requirements Specifications
for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering
(TSE), Presented at ICSE 2017, no. 8, IEEE, 2016, pp. 739–59, doi:10.1109/TSE.2016.2632115.
short: M.C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions
on Software Engineering (TSE), Presented at ICSE 2017 (2016) 739–759.
date_created: 2017-10-17T12:41:29Z
date_updated: 2022-01-06T06:53:57Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/TSE.2016.2632115
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T12:30:31Z
date_updated: 2018-03-21T12:30:31Z
file_id: '1529'
file_name: 190-07755807.pdf
file_size: 5225413
relation: main_file
success: 1
file_date_updated: 2018-03-21T12:30:31Z
has_accepted_license: '1'
issue: '8'
language:
- iso: eng
page: 739-759
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '11'
name: SFB 901 - Subprojekt B3
- _id: '3'
name: SFB 901 - Project Area B
publication: IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017
publisher: IEEE
status: public
title: Imprecise Matching of Requirements Specifications for Software Services using
Fuzzy Logic
type: journal_article
user_id: '15504'
year: '2016'
...
---
_id: '184'
abstract:
- lang: eng
text: In this paper, we propose a framework for a class of learning problems that
we refer to as “learning to aggregate”. Roughly, learning-to-aggregate problems
are supervised machine learning problems, in which instances are represented in
the form of a composition of a (variable) number on constituents; such compositions
are associated with an evaluation, score, or label, which is the target of the
prediction task, and which can presumably be modeled in the form of a suitable
aggregation of the properties of its constituents. Our learning-to-aggregate framework
establishes a close connection between machine learning and a branch of mathematics
devoted to the systematic study of aggregation functions. We specifically focus
on a class of functions called uninorms, which combine conjunctive and disjunctive
modes of aggregation. Experimental results for a corresponding model are presented
for a review data set, for which the aggregation problem consists of combining
different reviewer opinions about a paper into an overall decision of acceptance
or rejection.
author:
- first_name: Vitaly
full_name: Melnikov, Vitaly
id: '58747'
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Learning to Aggregate Using Uninorms. In: Proceedings
of the Joint European Conference on Machine Learning and Knowledge Discovery in
Databases (ECML/PKDD 2016). LNCS. ; 2016:756-771. doi:10.1007/978-3-319-46227-1_47'
apa: Melnikov, V., & Hüllermeier, E. (2016). Learning to Aggregate Using Uninorms.
In Proceedings of the Joint European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD 2016) (pp. 756–771). https://doi.org/10.1007/978-3-319-46227-1_47
bibtex: '@inproceedings{Melnikov_Hüllermeier_2016, series={LNCS}, title={Learning
to Aggregate Using Uninorms}, DOI={10.1007/978-3-319-46227-1_47},
booktitle={Proceedings of the Joint European Conference on Machine Learning and
Knowledge Discovery in Databases (ECML/PKDD 2016)}, author={Melnikov, Vitaly and
Hüllermeier, Eyke}, year={2016}, pages={756–771}, collection={LNCS} }'
chicago: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.”
In Proceedings of the Joint European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD 2016), 756–71. LNCS, 2016. https://doi.org/10.1007/978-3-319-46227-1_47.
ieee: V. Melnikov and E. Hüllermeier, “Learning to Aggregate Using Uninorms,” in
Proceedings of the Joint European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771.
mla: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.”
Proceedings of the Joint European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–71, doi:10.1007/978-3-319-46227-1_47.
short: 'V. Melnikov, E. Hüllermeier, in: Proceedings of the Joint European Conference
on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016,
pp. 756–771.'
date_created: 2017-10-17T12:41:27Z
date_updated: 2022-01-06T06:53:32Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1007/978-3-319-46227-1_47
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T12:32:44Z
date_updated: 2018-03-21T12:32:44Z
file_id: '1533'
file_name: 184-chp_3A10.1007_2F978-3-319-46227-1_47.pdf
file_size: 472159
relation: main_file
success: 1
file_date_updated: 2018-03-21T12:32:44Z
has_accepted_license: '1'
language:
- iso: eng
page: 756-771
project:
- _id: '1'
name: SFB 901
- _id: '11'
name: SFB 901 - Subprojekt B3
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the Joint European Conference on Machine Learning and
Knowledge Discovery in Databases (ECML/PKDD 2016)
series_title: LNCS
status: public
title: Learning to Aggregate Using Uninorms
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '10785'
author:
- first_name: J.
full_name: Fürnkranz, J.
last_name: Fürnkranz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds.
Encyclopedia of Machine Learning and Data Mining. Springer; 2016.'
apa: Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut
& G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining.
Springer.
bibtex: '@inbook{Fürnkranz_Hüllermeier_2016, title={Preference Learning}, booktitle={Encyclopedia
of Machine Learning and Data Mining}, publisher={Springer}, author={Fürnkranz,
J. and Hüllermeier, Eyke}, editor={Sammut, C. and Webb, G.I.Editors}, year={2016}
}'
chicago: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia
of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer,
2016.
ieee: J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia
of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer,
2016.
mla: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia
of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, Springer,
2016.
short: 'J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia
of Machine Learning and Data Mining, Springer, 2016.'
date_created: 2019-07-10T16:00:23Z
date_updated: 2022-01-06T06:50:50Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: C.
full_name: Sammut, C.
last_name: Sammut
- first_name: G.I.
full_name: Webb, G.I.
last_name: Webb
language:
- iso: eng
publication: Encyclopedia of Machine Learning and Data Mining
publisher: Springer
status: public
title: Preference Learning
type: encyclopedia_article
user_id: '49109'
year: '2016'
...
---
_id: '15400'
author:
- first_name: C.
full_name: Labreuche, C.
last_name: Labreuche
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: P.
full_name: Vojtas, P.
last_name: Vojtas
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
citation:
ama: 'Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the identifiability
of models in multi-criteria preference learning. In: Busa-Fekete R, Hüllermeier
E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL 2016 EURO Mini Conference
From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
; 2016.'
apa: Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016).
On the identifiability of models in multi-criteria preference learning. In R.
Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in
Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid
to Preference Learning, Paderborn Germany.
bibtex: '@inproceedings{Labreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title={On
the identifiability of models in multi-criteria preference learning}, booktitle={in
Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid
to Preference Learning, Paderborn Germany}, author={Labreuche, C. and Hüllermeier,
Eyke and Vojtas, P. and Fallah Tehrani, A.}, editor={Busa-Fekete, R. and Hüllermeier,
Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On
the Identifiability of Models in Multi-Criteria Preference Learning.” In In
Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid
to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke
Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
ieee: C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability
of models in multi-criteria preference learning,” in in Proceedings DA2PL
2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning,
Paderborn Germany, 2016.
mla: Labreuche, C., et al. “On the Identifiability of Models in Multi-Criteria
Preference Learning.” In Proceedings DA2PL 2016 EURO Mini Conference From Multiple
Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by
R. Busa-Fekete et al., 2016.
short: 'C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete,
E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016
EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning,
Paderborn Germany, 2016.'
date_created: 2019-12-19T16:02:19Z
date_updated: 2022-01-06T06:52:23Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: R.
full_name: Busa-Fekete, R.
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria
Decision Aid to Preference Learning, Paderborn Germany
status: public
title: On the identifiability of models in multi-criteria preference learning
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '15401'
author:
- first_name: D.
full_name: Schäfer, D.
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Preference -based reinforcement learning using dyad
ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In
Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid
to Preference Learning, Paderborn, Germany. ; 2016.'
apa: Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement
learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, &
K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From
Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.
bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Preference -based reinforcement
learning using dyad ranking}, booktitle={in Proceedings DA2PL`2016 Euro Mini Conference
From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany},
author={Schäfer, D. and Hüllermeier, Eyke}, editor={Busa-Fekete, R. and Hüllermeier,
Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning
Using Dyad Ranking.” In In Proceedings DA2PL`2016 Euro Mini Conference From
Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany,
edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt,
2016.
ieee: D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using
dyad ranking,” in in Proceedings DA2PL`2016 Euro Mini Conference From Multiple
Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
mla: Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning
Using Dyad Ranking.” In Proceedings DA2PL`2016 Euro Mini Conference From Multiple
Criteria Decision Aid to Preference Learning, Paderborn, Germany, edited by
R. Busa-Fekete et al., 2016.
short: 'D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau,
K. Pfannschmidt (Eds.), In Proceedings DA2PL`2016 Euro Mini Conference From Multiple
Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.'
date_created: 2019-12-19T16:33:45Z
date_updated: 2022-01-06T06:52:23Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: R.
full_name: Busa-Fekete, R.
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria
Decision Aid to Preference Learning, Paderborn, Germany
status: public
title: Preference -based reinforcement learning using dyad ranking
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '15402'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete
Ranking Data: A Comparison of two likelihood-based estimators. In: Busa-Fekete
R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL 2016
EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning,
Paderborn Germany. ; 2016.'
apa: 'Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical
Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators.
In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.),
in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision
Aid to Preference Learning, Paderborn Germany.'
bibtex: '@inproceedings{Couso_Ahmadi Fahandar_Hüllermeier_2016, title={Statistical
Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators},
booktitle={in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria
Decision Aid to Preference Learning, Paderborn Germany}, author={Couso, Ines and
Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, editor={Busa-Fekete, R. and Hüllermeier,
Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: 'Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical
Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.”
In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision
Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke
Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.'
ieee: 'I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference
for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,”
in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision
Aid to Preference Learning, Paderborn Germany, 2016.'
mla: 'Couso, Ines, et al. “Statistical Inference for Incomplete Ranking Data: A
Comparison of Two Likelihood-Based Estimators.” In Proceedings DA2PL 2016 EURO
Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn
Germany, edited by R. Busa-Fekete et al., 2016.'
short: 'I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier,
V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference
From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany,
2016.'
date_created: 2019-12-19T16:37:06Z
date_updated: 2022-01-06T06:52:23Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: R.
full_name: Busa-Fekete, R.
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria
Decision Aid to Preference Learning, Paderborn Germany
status: public
title: 'Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based
estimators'
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '15403'
author:
- first_name: S.
full_name: Lu, S.
last_name: Lu
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy
superset losses. In: Hüllermeier E, Hoffmann F, Mikut R, eds. In Proceedings
26th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific
Publishing; 2016:1-8.'
apa: Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy
data using fuzzy superset losses. In E. Hüllermeier, F. Hoffmann, & R. Mikut
(Eds.), in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany
(pp. 1–8). KIT Scientific Publishing.
bibtex: '@inproceedings{Lu_Hüllermeier_2016, title={Support vector classification
on noisy data using fuzzy superset losses}, booktitle={in Proceedings 26th Workshop
Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing},
author={Lu, S. and Hüllermeier, Eyke}, editor={Hüllermeier, Eyke and Hoffmann,
F. and Mikut, R.Editors}, year={2016}, pages={1–8} }'
chicago: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data
Using Fuzzy Superset Losses.” In In Proceedings 26th Workshop Computational
Intelligence, Dortmund Germany, edited by Eyke Hüllermeier, F. Hoffmann, and
R. Mikut, 1–8. KIT Scientific Publishing, 2016.
ieee: S. Lu and E. Hüllermeier, “Support vector classification on noisy data using
fuzzy superset losses,” in in Proceedings 26th Workshop Computational Intelligence,
Dortmund Germany, 2016, pp. 1–8.
mla: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data
Using Fuzzy Superset Losses.” In Proceedings 26th Workshop Computational Intelligence,
Dortmund Germany, edited by Eyke Hüllermeier et al., KIT Scientific Publishing,
2016, pp. 1–8.
short: 'S. Lu, E. Hüllermeier, in: E. Hüllermeier, F. Hoffmann, R. Mikut (Eds.),
In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, KIT
Scientific Publishing, 2016, pp. 1–8.'
date_created: 2019-12-19T16:40:33Z
date_updated: 2022-01-06T06:52:23Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: R.
full_name: Mikut, R.
last_name: Mikut
language:
- iso: eng
page: 1-8
publication: in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany
publisher: KIT Scientific Publishing
status: public
title: Support vector classification on noisy data using fuzzy superset losses
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '15404'
author:
- first_name: D.
full_name: Schäfer, D.
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Plackett-Luce networks for dyad ranking. In: In
Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany. ; 2016.'
apa: Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad
ranking. In in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany.
bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Plackett-Luce networks
for dyad ranking}, booktitle={in Workshop LWDA “Lernen, Wissen, Daten, Analysen”
Potsdam, Germany}, author={Schäfer, D. and Hüllermeier, Eyke}, year={2016} }'
chicago: Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.”
In In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany,
2016.
ieee: D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,”
in in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany,
2016.
mla: Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.”
In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.
short: 'D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten,
Analysen” Potsdam, Germany, 2016.'
date_created: 2019-12-19T16:43:27Z
date_updated: 2022-01-06T06:52:23Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: in Workshop LWDA "Lernen, Wissen, Daten, Analysen" Potsdam, Germany
status: public
title: Plackett-Luce networks for dyad ranking
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '15111'
author:
- first_name: Karlson
full_name: Pfannschmidt, Karlson
id: '13472'
last_name: Pfannschmidt
orcid: 0000-0001-9407-7903
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: S.
full_name: Held, S.
last_name: Held
- first_name: R.
full_name: Neiger, R.
last_name: Neiger
citation:
ama: 'Pfannschmidt K, Hüllermeier E, Held S, Neiger R. Evaluating tests in medical
diagnosis-Combining machine learning with game-theoretical concepts. In: In
Proceedings IPMU 16th International Conference on Information Processing and Management
of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands.
Springer; 2016:450-461.'
apa: Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating
tests in medical diagnosis-Combining machine learning with game-theoretical concepts.
In In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands (pp. 450–461). Springer.
bibtex: '@inproceedings{Pfannschmidt_Hüllermeier_Held_Neiger_2016, title={Evaluating
tests in medical diagnosis-Combining machine learning with game-theoretical concepts},
booktitle={In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands}, publisher={Springer}, author={Pfannschmidt, Karlson and Hüllermeier,
Eyke and Held, S. and Neiger, R.}, year={2016}, pages={450–461} }'
chicago: Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating
Tests in Medical Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.”
In In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands, 450–61. Springer, 2016.
ieee: K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests
in medical diagnosis-Combining machine learning with game-theoretical concepts,”
in In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands, 2016, pp. 450–461.
mla: Pfannschmidt, Karlson, et al. “Evaluating Tests in Medical Diagnosis-Combining
Machine Learning with Game-Theoretical Concepts.” In Proceedings IPMU 16th
International Conference on Information Processing and Management of Uncertainty
in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer,
2016, pp. 450–61.
short: 'K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings
IPMU 16th International Conference on Information Processing and Management of
Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer,
2016, pp. 450–461.'
date_created: 2019-11-21T16:42:47Z
date_updated: 2022-01-06T06:52:15Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 450-461
publication: In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The
Netherlands
publisher: Springer
status: public
title: Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical
concepts
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '16041'
author:
- first_name: M.
full_name: Leinweber, M.
last_name: Leinweber
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: L.
full_name: Baumgärtner, L.
last_name: Baumgärtner
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
- first_name: B.
full_name: Freisleben, B.
last_name: Freisleben
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large
scale comparison of protein binding sites. IEEE Transactions on Knowledge and
Data Engineering. 2016;28(6):1423-1434.'
apa: 'Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben,
B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison
of protein binding sites. IEEE Transactions on Knowledge and Data Engineering,
28(6), 1423–1434.'
bibtex: '@article{Leinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016,
title={CavSimBase: A database for large scale comparison of protein binding sites},
volume={28}, number={6}, journal={IEEE Transactions on Knowledge and Data Engineering},
author={Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and
Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}, year={2016}, pages={1423–1434}
}'
chicago: 'Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein
Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28,
no. 6 (2016): 1423–34.'
ieee: 'M. Leinweber et al., “CavSimBase: A database for large scale comparison
of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, pp. 1423–1434, 2016.'
mla: 'Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of
Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, 2016, pp. 1423–34.'
short: M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016)
1423–1434.
date_created: 2020-02-24T16:04:59Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 28'
issue: '6'
language:
- iso: eng
page: 1423-1434
publication: IEEE Transactions on Knowledge and Data Engineering
status: public
title: 'CavSimBase: A database for large scale comparison of protein binding sites'
type: journal_article
user_id: '49109'
volume: 28
year: '2016'
...
---
_id: '141'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: Mohr F. Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn; 2016. doi:10.17619/UNIPB/1-171
apa: Mohr, F. (2016). Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn. https://doi.org/10.17619/UNIPB/1-171
bibtex: '@book{Mohr_2016, title={Towards Automated Service Composition Under Quality
Constraints}, DOI={10.17619/UNIPB/1-171},
publisher={Universität Paderborn}, author={Mohr, Felix}, year={2016} }'
chicago: Mohr, Felix. Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn, 2016. https://doi.org/10.17619/UNIPB/1-171.
ieee: F. Mohr, Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn, 2016.
mla: Mohr, Felix. Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn, 2016, doi:10.17619/UNIPB/1-171.
short: F. Mohr, Towards Automated Service Composition Under Quality Constraints,
Universität Paderborn, 2016.
date_created: 2017-10-17T12:41:19Z
date_updated: 2022-01-06T06:51:55Z
department:
- _id: '355'
doi: 10.17619/UNIPB/1-171
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
title: Towards Automated Service Composition Under Quality Constraints
type: dissertation
user_id: '477'
year: '2016'
...
---
_id: '10214'
author:
- first_name: J.
full_name: Fürnkranz, J.
last_name: Fürnkranz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds.
Encyclopedia of Machine Learning and Data Mining. Springer; 2016.'
apa: Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut
& G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining.
Springer.
bibtex: '@inbook{Fürnkranz_Hüllermeier_2016, title={Preference Learning}, booktitle={Encyclopedia
of Machine Learning and Data Mining}, publisher={Springer}, author={Fürnkranz,
J. and Hüllermeier, Eyke}, editor={Sammut, C. and Webb, G.I.Editors}, year={2016}
}'
chicago: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia
of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer,
2016.
ieee: J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia
of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer,
2016.
mla: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia
of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, Springer,
2016.
short: 'J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia
of Machine Learning and Data Mining, Springer, 2016.'
date_created: 2019-06-07T15:52:19Z
date_updated: 2022-01-06T06:50:31Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: C.
full_name: Sammut, C.
last_name: Sammut
- first_name: G.I.
full_name: Webb, G.I.
last_name: Webb
language:
- iso: eng
publication: Encyclopedia of Machine Learning and Data Mining
publisher: Springer
status: public
title: Preference Learning
type: book_chapter
user_id: '49109'
year: '2016'
...
---
_id: '10221'
citation:
ama: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings 26. Workshop Computational
Intelligence KIT Scientific Publishing, Karlsruhe, Germany.; 2016.
apa: Hoffmann, F., Hüllermeier, E., & Mikut, R. (Eds.). (2016). Proceedings
26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe,
Germany.
bibtex: '@book{Hoffmann_Hüllermeier_Mikut_2016, title={ Proceedings 26. Workshop
Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany}, year={2016}
}'
chicago: Hoffmann, F., Eyke Hüllermeier, and R. Mikut, eds. Proceedings 26.
Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany,
2016.
ieee: F. Hoffmann, E. Hüllermeier, and R. Mikut, Eds., Proceedings 26. Workshop
Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany.
2016.
mla: Hoffmann, F., et al., editors. Proceedings 26. Workshop Computational Intelligence
KIT Scientific Publishing, Karlsruhe, Germany. 2016.
short: F. Hoffmann, E. Hüllermeier, R. Mikut, eds., Proceedings 26. Workshop Computational
Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016.
date_created: 2019-06-11T14:40:45Z
date_updated: 2022-01-06T06:50:32Z
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
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Mikut, R.
last_name: Mikut
language:
- iso: eng
status: public
title: ' Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing,
Karlsruhe, Germany'
type: conference_editor
user_id: '49109'
year: '2016'
...
---
_id: '10222'
author:
- first_name: K.
full_name: Jasinska, K.
last_name: Jasinska
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Timo
full_name: Klerx, Timo
last_name: Klerx
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Jasinska K, Dembczynski K, Busa-Fekete R, Klerx T, Hüllermeier E. Extreme
F-measure maximization using sparse probability estimates . In: Balcan MF, Weinberger
KQ, eds. Proceedings ICML-2016, 33th International Conference on Machine Learning,
New York, USA. ; 2016.'
apa: Jasinska, K., Dembczynski, K., Busa-Fekete, R., Klerx, T., & Hüllermeier,
E. (2016). Extreme F-measure maximization using sparse probability estimates .
In M. F. Balcan & K. Q. Weinberger (Eds.), Proceedings ICML-2016, 33th
International Conference on Machine Learning, New York, USA.
bibtex: '@inproceedings{Jasinska_Dembczynski_Busa-Fekete_Klerx_Hüllermeier_2016,
title={Extreme F-measure maximization using sparse probability estimates }, booktitle={Proceedings
ICML-2016, 33th International Conference on Machine Learning, New York, USA},
author={Jasinska, K. and Dembczynski, K. and Busa-Fekete, Robert and Klerx, Timo
and Hüllermeier, Eyke}, editor={Balcan, M.F. and Weinberger, K.Q.Editors}, year={2016}
}'
chicago: Jasinska, K., K. Dembczynski, Robert Busa-Fekete, Timo Klerx, and Eyke
Hüllermeier. “Extreme F-Measure Maximization Using Sparse Probability Estimates
.” In Proceedings ICML-2016, 33th International Conference on Machine Learning,
New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
ieee: K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, and E. Hüllermeier,
“Extreme F-measure maximization using sparse probability estimates ,” in Proceedings
ICML-2016, 33th International Conference on Machine Learning, New York, USA,
2016.
mla: Jasinska, K., et al. “Extreme F-Measure Maximization Using Sparse Probability
Estimates .” Proceedings ICML-2016, 33th International Conference on Machine
Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
short: 'K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, E. Hüllermeier, in:
M.F. Balcan, K.Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International
Conference on Machine Learning, New York, USA, 2016.'
date_created: 2019-06-11T14:47:31Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: M.F.
full_name: Balcan, M.F.
last_name: Balcan
- first_name: K.Q.
full_name: Weinberger, K.Q.
last_name: Weinberger
language:
- iso: eng
publication: Proceedings ICML-2016, 33th International Conference on Machine Learning,
New York, USA
status: public
title: 'Extreme F-measure maximization using sparse probability estimates '
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10223'
author:
- first_name: Vitaly
full_name: Melnikov, Vitaly
id: '58747'
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Learning to aggregate using uninorms, in Proceedings
ECML/PKDD-2016. In: European Conference on Machine Learning and Knowledge Discovery
in Databases, Part II, Riva Del Garda, Italy. ; 2016:756-771.'
apa: Melnikov, V., & Hüllermeier, E. (2016). Learning to aggregate using uninorms,
in Proceedings ECML/PKDD-2016. In European Conference on Machine Learning and
Knowledge Discovery in Databases, Part II, Riva del Garda, Italy (pp. 756–771).
bibtex: '@inproceedings{Melnikov_Hüllermeier_2016, title={Learning to aggregate
using uninorms, in Proceedings ECML/PKDD-2016}, booktitle={European Conference
on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda,
Italy}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2016}, pages={756–771}
}'
chicago: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,
in Proceedings ECML/PKDD-2016.” In European Conference on Machine Learning
and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 756–71,
2016.
ieee: V. Melnikov and E. Hüllermeier, “Learning to aggregate using uninorms, in
Proceedings ECML/PKDD-2016,” in European Conference on Machine Learning and
Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp.
756–771.
mla: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,
in Proceedings ECML/PKDD-2016.” European Conference on Machine Learning and
Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp.
756–71.
short: 'V. Melnikov, E. Hüllermeier, in: European Conference on Machine Learning
and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp.
756–771.'
date_created: 2019-06-11T14:51:30Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 756-771
publication: European Conference on Machine Learning and Knowledge Discovery in Databases,
Part II, Riva del Garda, Italy
status: public
title: Learning to aggregate using uninorms, in Proceedings ECML/PKDD-2016
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10224'
author:
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: W.
full_name: Kotlowski, W.
last_name: Kotlowski
- first_name: W.
full_name: Waegeman, W.
last_name: Waegeman
- 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: 'Dembczynski K, Kotlowski W, Waegeman W, Busa-Fekete R, Hüllermeier E. Consistency
of probalistic classifier trees. In: In Proceedings ECML/PKDD European Conference
on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda,
Italy. ; 2016:511-526.'
apa: Dembczynski, K., Kotlowski, W., Waegeman, W., Busa-Fekete, R., & Hüllermeier,
E. (2016). Consistency of probalistic classifier trees. In In Proceedings ECML/PKDD
European Conference on Maschine Learning and Knowledge Discovery in Databases,
Part II, Riva del Garda, Italy (pp. 511–526).
bibtex: '@inproceedings{Dembczynski_Kotlowski_Waegeman_Busa-Fekete_Hüllermeier_2016,
title={Consistency of probalistic classifier trees}, booktitle={In Proceedings
ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in
Databases, Part II, Riva del Garda, Italy}, author={Dembczynski, K. and Kotlowski,
W. and Waegeman, W. and Busa-Fekete, Robert and Hüllermeier, Eyke}, year={2016},
pages={511–526} }'
chicago: Dembczynski, K., W. Kotlowski, W. Waegeman, Robert Busa-Fekete, and Eyke
Hüllermeier. “Consistency of Probalistic Classifier Trees.” In In Proceedings
ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in
Databases, Part II, Riva Del Garda, Italy, 511–26, 2016.
ieee: K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, and E. Hüllermeier,
“Consistency of probalistic classifier trees,” in In Proceedings ECML/PKDD
European Conference on Maschine Learning and Knowledge Discovery in Databases,
Part II, Riva del Garda, Italy, 2016, pp. 511–526.
mla: Dembczynski, K., et al. “Consistency of Probalistic Classifier Trees.” In
Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery
in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–26.
short: 'K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, E. Hüllermeier,
in: In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge
Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–526.'
date_created: 2019-06-11T14:56:02Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 511-526
publication: In Proceedings ECML/PKDD European Conference on Maschine Learning and
Knowledge Discovery in Databases, Part II, Riva del Garda, Italy
status: public
title: Consistency of probalistic classifier trees
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10225'
author:
- first_name: Aulon
full_name: Shabani, Aulon
last_name: Shabani
- first_name: Adil
full_name: Paul, Adil
last_name: Paul
- first_name: R.
full_name: Platon, R.
last_name: Platon
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shabani A, Paul A, Platon R, Hüllermeier E. Predicting the electricity consumption
of buildings: An improved CBR approach. In: In Proceedings ICCBR, 24th International
Conference on Case-Based Reasoning, Atlanta, GA, USA. ; 2016:356-369.'
apa: 'Shabani, A., Paul, A., Platon, R., & Hüllermeier, E. (2016). Predicting
the electricity consumption of buildings: An improved CBR approach. In In Proceedings
ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA
(pp. 356–369).'
bibtex: '@inproceedings{Shabani_Paul_Platon_Hüllermeier_2016, title={Predicting
the electricity consumption of buildings: An improved CBR approach}, booktitle={In
Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta,
GA, USA}, author={Shabani, Aulon and Paul, Adil and Platon, R. and Hüllermeier,
Eyke}, year={2016}, pages={356–369} }'
chicago: 'Shabani, Aulon, Adil Paul, R. Platon, and Eyke Hüllermeier. “Predicting
the Electricity Consumption of Buildings: An Improved CBR Approach.” In In
Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta,
GA, USA, 356–69, 2016.'
ieee: 'A. Shabani, A. Paul, R. Platon, and E. Hüllermeier, “Predicting the electricity
consumption of buildings: An improved CBR approach,” in In Proceedings ICCBR,
24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016,
pp. 356–369.'
mla: 'Shabani, Aulon, et al. “Predicting the Electricity Consumption of Buildings:
An Improved CBR Approach.” In Proceedings ICCBR, 24th International Conference
on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–69.'
short: 'A. Shabani, A. Paul, R. Platon, E. Hüllermeier, in: In Proceedings ICCBR,
24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016,
pp. 356–369.'
date_created: 2019-06-11T15:00:49Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 356-369
publication: In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning,
Atlanta, GA, USA
status: public
title: 'Predicting the electricity consumption of buildings: An improved CBR approach'
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10226'
author:
- first_name: Karlson
full_name: Pfannschmidt, Karlson
id: '13472'
last_name: Pfannschmidt
orcid: 0000-0001-9407-7903
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: S.
full_name: Held, S.
last_name: Held
- first_name: R.
full_name: Neiger, R.
last_name: Neiger
citation:
ama: 'Pfannschmidt K, Hüllermeier E, Held S, Neiger R. Evaluating tests in medical
diagnosis-Combining machine learning with game-theoretical concepts. In: In
Proceedings IPMU 16th International Conference on Information Processing and Management
of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands.
Springer; 2016:450-461.'
apa: Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating
tests in medical diagnosis-Combining machine learning with game-theoretical concepts.
In In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands (pp. 450–461). Springer.
bibtex: '@inproceedings{Pfannschmidt_Hüllermeier_Held_Neiger_2016, title={Evaluating
tests in medical diagnosis-Combining machine learning with game-theoretical concepts},
booktitle={In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands}, publisher={Springer}, author={Pfannschmidt, Karlson and Hüllermeier,
Eyke and Held, S. and Neiger, R.}, year={2016}, pages={450–461} }'
chicago: Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating
Tests in Medical Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.”
In In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands, 450–61. Springer, 2016.
ieee: K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests
in medical diagnosis-Combining machine learning with game-theoretical concepts,”
in In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands, 2016, pp. 450–461.
mla: Pfannschmidt, Karlson, et al. “Evaluating Tests in Medical Diagnosis-Combining
Machine Learning with Game-Theoretical Concepts.” In Proceedings IPMU 16th
International Conference on Information Processing and Management of Uncertainty
in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer,
2016, pp. 450–61.
short: 'K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings
IPMU 16th International Conference on Information Processing and Management of
Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer,
2016, pp. 450–461.'
date_created: 2019-06-11T15:11:54Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 450-461
publication: In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The
Netherlands
publisher: Springer
status: public
title: Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical
concepts
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10227'
author:
- first_name: C.
full_name: Labreuche, C.
last_name: Labreuche
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: P.
full_name: Vojtas, P.
last_name: Vojtas
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
citation:
ama: 'Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the Identifiability
of models in multi-criteria preference learning . In: Busa-Fekete R, Hüllermeier
E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016, Euro Mini Conference
from Multiple Criteria Decision Aid to Preference Learning. ; 2016.'
apa: Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016).
On the Identifiability of models in multi-criteria preference learning . In R.
Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning.
bibtex: '@inproceedings{Labreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title={On
the Identifiability of models in multi-criteria preference learning }, booktitle={Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning}, author={Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah
Tehrani, A.}, editor={Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau,
V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On
the Identifiability of Models in Multi-Criteria Preference Learning .” In Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and
Karlson Pfannschmidt, 2016.
ieee: C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the Identifiability
of models in multi-criteria preference learning ,” in Proceedings DA2PL ´2016,
Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning,
2016.
mla: Labreuche, C., et al. “On the Identifiability of Models in Multi-Criteria Preference
Learning .” Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning, edited by Robert Busa-Fekete et al.,
2016.
short: 'C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete,
E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016,
Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning,
2016.'
date_created: 2019-06-11T15:34:48Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning
status: public
title: 'On the Identifiability of models in multi-criteria preference learning '
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10228'
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. Preference-Based Reinforcement Learning Using Dyad
Ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning. ; 2016.'
apa: Schäfer, D., & Hüllermeier, E. (2016). Preference-Based Reinforcement Learning
Using Dyad Ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt
(Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning.
bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Preference-Based Reinforcement
Learning Using Dyad Ranking}, booktitle={Proceedings DA2PL ´2016, Euro Mini Conference
from Multiple Criteria Decision Aid to Preference Learning}, author={Schäfer,
Dirk and Hüllermeier, Eyke}, editor={Busa-Fekete, Robert and Hüllermeier, Eyke
and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” In Proceedings DA2PL ´2016, Euro Mini Conference from
Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete,
Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
ieee: D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using
Dyad Ranking,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple
Criteria Decision Aid to Preference Learning, 2016.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” Proceedings DA2PL ´2016, Euro Mini Conference from Multiple
Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete
et al., 2016.
short: 'D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau,
K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple
Criteria Decision Aid to Preference Learning, 2016.'
date_created: 2019-06-11T15:37:51Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning
status: public
title: Preference-Based Reinforcement Learning Using Dyad Ranking
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10229'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete
Ranking Data: A Comparison of two likelihood-based estimators. In: Busa-Fekete
R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016,
Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
; 2016.'
apa: 'Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical
Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators.
In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.),
Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision
Aid to Preference Learning.'
bibtex: '@inproceedings{Couso_Ahmadi Fahandar_Hüllermeier_2016, title={Statistical
Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators},
booktitle={Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning}, author={Couso, Ines and Ahmadi Fahandar,
Mohsen and Hüllermeier, Eyke}, editor={Busa-Fekete, Robert and Hüllermeier, Eyke
and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: 'Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical
Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.”
In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision
Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier,
V. Mousseau, and Karlson Pfannschmidt, 2016.'
ieee: 'I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference
for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,”
in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision
Aid to Preference Learning, 2016.'
mla: 'Couso, Ines, et al. “Statistical Inference for Incomplete Ranking Data: A
Comparison of Two Likelihood-Based Estimators.” Proceedings DA2PL ´2016, Euro
Mini Conference from Multiple Criteria Decision Aid to Preference Learning,
edited by Robert Busa-Fekete et al., 2016.'
short: 'I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier,
V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference
from Multiple Criteria Decision Aid to Preference Learning, 2016.'
date_created: 2019-06-11T15:41:55Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning
status: public
title: 'Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based
estimators'
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10230'
author:
- first_name: S.
full_name: Lu, S.
last_name: Lu
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy
supersets losses. In: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings
26. Workshop Computational Intelligence, KIT Scientific Publishing. ; 2016:1-8.'
apa: Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy
data using fuzzy supersets losses. In F. Hoffmann, E. Hüllermeier, & R. Mikut
(Eds.), Proceedings 26. Workshop Computational Intelligence, KIT Scientific
Publishing (pp. 1–8).
bibtex: '@inproceedings{Lu_Hüllermeier_2016, title={Support vector classification
on noisy data using fuzzy supersets losses}, booktitle={Proceedings 26. Workshop
Computational Intelligence, KIT Scientific Publishing}, author={Lu, S. and Hüllermeier,
Eyke}, editor={Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.Editors}, year={2016},
pages={1–8} }'
chicago: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data
Using Fuzzy Supersets Losses.” In Proceedings 26. Workshop Computational Intelligence,
KIT Scientific Publishing, edited by F. Hoffmann, Eyke Hüllermeier, and R.
Mikut, 1–8, 2016.
ieee: S. Lu and E. Hüllermeier, “Support vector classification on noisy data using
fuzzy supersets losses,” in Proceedings 26. Workshop Computational Intelligence,
KIT Scientific Publishing, 2016, pp. 1–8.
mla: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data
Using Fuzzy Supersets Losses.” Proceedings 26. Workshop Computational Intelligence,
KIT Scientific Publishing, edited by F. Hoffmann et al., 2016, pp. 1–8.
short: 'S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.),
Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing,
2016, pp. 1–8.'
date_created: 2019-06-11T15:46:58Z
date_updated: 2022-01-06T06:50:32Z
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
- first_name: R.
full_name: Mikut, R.
last_name: Mikut
language:
- iso: eng
page: 1-8
publication: Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing
status: public
title: Support vector classification on noisy data using fuzzy supersets losses
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10231'
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. Plackett-Luce networks for dyad ranking. In: In
Workshop LWDA “Lernen, Wissen, Daten, Analysen.” ; 2016.'
apa: Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad
ranking. In In Workshop LWDA “Lernen, Wissen, Daten, Analysen.”
bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Plackett-Luce networks
for dyad ranking}, booktitle={In Workshop LWDA “Lernen, Wissen, Daten, Analysen”},
author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2016} }'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.”
In In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
ieee: D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,”
in In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.”
In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
short: 'D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten,
Analysen,” 2016.'
date_created: 2019-06-11T15:49:26Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: In Workshop LWDA "Lernen, Wissen, Daten, Analysen"
status: public
title: Plackett-Luce networks for dyad ranking
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10263'
citation:
ama: 'Kaminka GA, Fox M, Bouquet P, et al., eds. ECAI 2016, 22nd European Conference
on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial
Intelligence. Vol 285. The Hague, The Netherlands: IOS Press; 2016.'
apa: 'Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum,
F., & van Harmelen, F. (Eds.). (2016). ECAI 2016, 22nd European Conference
on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial
Intelligence (Vol. 285). The Hague, The Netherlands: IOS Press.'
bibtex: '@book{Kaminka_Fox_Bouquet_Hüllermeier_Dignum_Dignum_van Harmelen_2016,
place={The Hague, The Netherlands}, series={Frontiers in Artificial Intelligence
and Applications, The Hague, The Netherlands}, title={ECAI 2016, 22nd European
Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications
of Artificial Intelligence}, volume={285}, publisher={IOS Press}, year={2016},
collection={Frontiers in Artificial Intelligence and Applications, The Hague,
The Netherlands} }'
chicago: 'Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum,
and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial
Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence.
Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The
Netherlands. The Hague, The Netherlands: IOS Press, 2016.'
ieee: 'G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference
on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial
Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.'
mla: Kaminka, G. A., et al., editors. ECAI 2016, 22nd European Conference on
Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial
Intelligence. Vol. 285, IOS Press, 2016.
short: G.A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F.
van Harmelen, eds., ECAI 2016, 22nd European Conference on Artificial Intelligence,
Including PAIS 2016, Prestigious Applications of Artificial Intelligence, IOS
Press, The Hague, The Netherlands, 2016.
date_created: 2019-06-18T15:07:10Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: G.A.
full_name: Kaminka, G.A.
last_name: Kaminka
- first_name: M.
full_name: Fox, M.
last_name: Fox
- first_name: P.
full_name: Bouquet, P.
last_name: Bouquet
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: V.
full_name: Dignum, V.
last_name: Dignum
- first_name: F.
full_name: Dignum, F.
last_name: Dignum
- first_name: F.
full_name: van Harmelen, F.
last_name: van Harmelen
intvolume: ' 285'
language:
- iso: eng
place: The Hague, The Netherlands
publisher: IOS Press
series_title: Frontiers in Artificial Intelligence and Applications, The Hague, The
Netherlands
status: public
title: ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS
2016, Prestigious Applications of Artificial Intelligence
type: conference_editor
user_id: '49109'
volume: 285
year: '2016'
...
---
_id: '10264'
author:
- first_name: M.
full_name: Leinweber, M.
last_name: Leinweber
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: L.
full_name: Baumgärtner, L.
last_name: Baumgärtner
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
- first_name: B.
full_name: Freisleben, B.
last_name: Freisleben
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large
scale comparison of protein binding sites. IEEE Transactions on Knowledge and
Data Engineering. 2016;28(6):1423-1434.'
apa: 'Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben,
B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison
of protein binding sites. IEEE Transactions on Knowledge and Data Engineering,
28(6), 1423–1434.'
bibtex: '@article{Leinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016,
title={CavSimBase: A database for large scale comparison of protein binding sites},
volume={28}, number={6}, journal={IEEE Transactions on Knowledge and Data Engineering},
author={Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and
Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}, year={2016}, pages={1423–1434}
}'
chicago: 'Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein
Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28,
no. 6 (2016): 1423–34.'
ieee: 'M. Leinweber et al., “CavSimBase: A database for large scale comparison
of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, pp. 1423–1434, 2016.'
mla: 'Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of
Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, 2016, pp. 1423–34.'
short: M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016)
1423–1434.
date_created: 2019-06-18T15:29:05Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 28'
issue: '6'
language:
- iso: eng
page: 1423-1434
publication: IEEE Transactions on Knowledge and Data Engineering
status: public
title: 'CavSimBase: A database for large scale comparison of protein binding sites'
type: journal_article
user_id: '49109'
volume: 28
year: '2016'
...
---
_id: '10266'
author:
- first_name: M.
full_name: Riemenschneider, M.
last_name: Riemenschneider
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: U.
full_name: Neumann, U.
last_name: Neumann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: D.
full_name: Heider, D.
last_name: Heider
citation:
ama: Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification. BioData
Mining. 2016;9(10).
apa: Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., & Heider,
D. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance
information for improved drug resistance prediction by means of multi-label classification.
BioData Mining, 9(10).
bibtex: '@article{Riemenschneider_Senge_Neumann_Hüllermeier_Heider_2016, title={Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification}, volume={9},
number={10}, journal={BioData Mining}, author={Riemenschneider, M. and Senge,
Robin and Neumann, U. and Hüllermeier, Eyke and Heider, D.}, year={2016} }'
chicago: Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D.
Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance
Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.”
BioData Mining 9, no. 10 (2016).
ieee: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification,” BioData
Mining, vol. 9, no. 10, 2016.
mla: Riemenschneider, M., et al. “Exploiting HIV-1 Protease and Reverse Transcriptase
Cross-Resistance Information for Improved Drug Resistance Prediction by Means
of Multi-Label Classification.” BioData Mining, vol. 9, no. 10, 2016.
short: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, D. Heider, BioData
Mining 9 (2016).
date_created: 2019-06-18T15:37:19Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 9'
issue: '10'
language:
- iso: eng
publication: BioData Mining
status: public
title: Exploiting HIV-1 protease and reverse transcriptase cross-resistance information
for improved drug resistance prediction by means of multi-label classification
type: journal_article
user_id: '49109'
volume: 9
year: '2016'
...
---
_id: '280'
abstract:
- lang: eng
text: The Collaborative Research Centre "On-The-Fly Computing" works on foundations
and principles for the vision of the Future Internet. It proposes the paradigm
of On-The-Fly Computing, which tackles emerging worldwide service markets. In
these markets, service providers trade software, platform, and infrastructure
as a service. Service requesters state requirements on services. To satisfy these
requirements, the new role of brokers, who are (human) actors building service
compositions on the fly, is introduced. Brokers have to specify service compositions
formally and comprehensively using a domain-specific language (DSL), and to use
service matching for the discovery of the constituent services available in the
market. The broker's choice of the DSL and matching approaches influences her
success of building compositions as distinctive properties of different service
markets play a significant role. In this paper, we propose a new approach of engineering
a situation-specific DSL by customizing a comprehensive, modular DSL and its matching
for given service market properties. This enables the broker to create market-specific
composition specifications and to perform market-specific service matching. As
a result, the broker builds service compositions satisfying the requester's requirements
more accurately. We evaluated the presented concepts using case studies in service
markets for tourism and university management.
author:
- first_name: Svetlana
full_name: Arifulina, Svetlana
last_name: Arifulina
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Wilhelm
full_name: Schäfer, Wilhelm
last_name: Schäfer
citation:
ama: 'Arifulina S, Platenius MC, Mohr F, Engels G, Schäfer W. Market-Specific Service
Compositions: Specification and Matching. In: Proceedings of the IEEE 11th
World Congress on Services (SERVICES), Visionary Track: Service Composition for
the Future Internet. ; 2015:333--340. doi:10.1109/SERVICES.2015.58'
apa: 'Arifulina, S., Platenius, M. C., Mohr, F., Engels, G., & Schäfer, W. (2015).
Market-Specific Service Compositions: Specification and Matching. In Proceedings
of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service
Composition for the Future Internet (pp. 333--340). https://doi.org/10.1109/SERVICES.2015.58'
bibtex: '@inproceedings{Arifulina_Platenius_Mohr_Engels_Schäfer_2015, title={Market-Specific
Service Compositions: Specification and Matching}, DOI={10.1109/SERVICES.2015.58},
booktitle={Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet}, author={Arifulina,
Svetlana and Platenius, Marie Christin and Mohr, Felix and Engels, Gregor and
Schäfer, Wilhelm}, year={2015}, pages={333--340} }'
chicago: 'Arifulina, Svetlana, Marie Christin Platenius, Felix Mohr, Gregor Engels,
and Wilhelm Schäfer. “Market-Specific Service Compositions: Specification and
Matching.” In Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet, 333--340, 2015.
https://doi.org/10.1109/SERVICES.2015.58.'
ieee: 'S. Arifulina, M. C. Platenius, F. Mohr, G. Engels, and W. Schäfer, “Market-Specific
Service Compositions: Specification and Matching,” in Proceedings of the IEEE
11th World Congress on Services (SERVICES), Visionary Track: Service Composition
for the Future Internet, 2015, pp. 333--340.'
mla: 'Arifulina, Svetlana, et al. “Market-Specific Service Compositions: Specification
and Matching.” Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet, 2015, pp. 333--340,
doi:10.1109/SERVICES.2015.58.'
short: 'S. Arifulina, M.C. Platenius, F. Mohr, G. Engels, W. Schäfer, in: Proceedings
of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service
Composition for the Future Internet, 2015, pp. 333--340.'
date_created: 2017-10-17T12:41:46Z
date_updated: 2022-01-06T06:57:49Z
ddc:
- '040'
department:
- _id: '66'
- _id: '76'
- _id: '355'
doi: 10.1109/SERVICES.2015.58
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T09:26:04Z
date_updated: 2018-03-21T09:26:04Z
file_id: '1470'
file_name: 280-07196546.pdf
file_size: 234260
relation: main_file
success: 1
file_date_updated: 2018-03-21T09:26:04Z
has_accepted_license: '1'
language:
- iso: eng
page: 333--340
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '3'
name: SFB 901 - Project Area B
publication: 'Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet'
status: public
title: 'Market-Specific Service Compositions: Specification and Matching'
type: conference
user_id: '477'
year: '2015'
...
---
_id: '323'
abstract:
- lang: eng
text: On-the-fly composition of service-based software solutions is still a challenging
task. Even more challenges emerge when facing automatic service composition in
markets of composed services for end users. In this paper, we focus on the functional
discrepancy between “what a user wants” specified in terms of a request and “what
a user gets” when executing a composed service. To meet the challenge of functional
discrepancy, we propose the combination of existing symbolic composition approaches
with machine learning techniques. We developed a learning recommendation system
that expands the capabilities of existing composition algorithms to facilitate
adaptivity and consequently reduces functional discrepancy. As a representative
of symbolic techniques, an Artificial Intelligence planning based approach produces
solutions that are correct with respect to formal specifications. Our learning
recommendation system supports the symbolic approach in decision-making. Reinforcement
Learning techniques enable the recommendation system to adjust its recommendation
strategy over time based on user ratings. We implemented the proposed functionality
in terms of a prototypical composition framework. Preliminary results from experiments
conducted in the image processing domain illustrate the benefit of combining both
complementary techniques.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: Jungmann A, Mohr F. An approach towards adaptive service composition in markets
of composed services. Journal of Internet Services and Applications. 2015;(1):1-18.
doi:10.1186/s13174-015-0022-8
apa: Jungmann, A., & Mohr, F. (2015). An approach towards adaptive service composition
in markets of composed services. Journal of Internet Services and Applications,
(1), 1–18. https://doi.org/10.1186/s13174-015-0022-8
bibtex: '@article{Jungmann_Mohr_2015, title={An approach towards adaptive service
composition in markets of composed services}, DOI={10.1186/s13174-015-0022-8},
number={1}, journal={Journal of Internet Services and Applications}, publisher={Springer},
author={Jungmann, Alexander and Mohr, Felix}, year={2015}, pages={1–18} }'
chicago: 'Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1 (2015): 1–18. https://doi.org/10.1186/s13174-015-0022-8.'
ieee: A. Jungmann and F. Mohr, “An approach towards adaptive service composition
in markets of composed services,” Journal of Internet Services and Applications,
no. 1, pp. 1–18, 2015.
mla: Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1, Springer, 2015, pp. 1–18, doi:10.1186/s13174-015-0022-8.
short: A. Jungmann, F. Mohr, Journal of Internet Services and Applications (2015)
1–18.
date_created: 2017-10-17T12:41:55Z
date_updated: 2022-01-06T06:59:06Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1186/s13174-015-0022-8
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:39:17Z
date_updated: 2018-03-20T07:39:17Z
file_id: '1429'
file_name: 323-An_approach_towards_adaptive_service_composition_in_markets_of_composed_services.pdf
file_size: 2842281
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:39:17Z
has_accepted_license: '1'
issue: '1'
language:
- iso: eng
page: 1-18
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Journal of Internet Services and Applications
publisher: Springer
status: public
title: An approach towards adaptive service composition in markets of composed services
type: journal_article
user_id: '477'
year: '2015'
...
---
_id: '324'
abstract:
- lang: eng
text: Services are self-contained software components that can beused platform independent
and that aim at maximizing software reuse. Abasic concern in service oriented
architectures is to measure the reusabilityof services. One of the most important
qualities is the functionalreusability, which indicates how relevant the task
is that a service solves.Current metrics for functional reusability of software,
however, have verylittle explanatory power and do not accomplish this goal.This
paper presents a new approach to estimate the functional reusabilityof services
based on their relevance. To this end, it denes the degreeto which a service enables
the execution of other services as its contri-bution. Based on the contribution,
relevance of services is dened as anestimation for their functional reusability.
Explanatory power is obtainedby normalizing relevance values with a reference
service. The applicationof the metric to a service test set conrms its supposed
capabilities.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: 'Mohr F. A Metric for Functional Reusability of Services. In: Proceedings
of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2015:298--313.
doi:10.1007/978-3-319-14130-5_21'
apa: Mohr, F. (2015). A Metric for Functional Reusability of Services. In Proceedings
of the 14th International Conference on Software Reuse (ICSR) (pp. 298--313).
https://doi.org/10.1007/978-3-319-14130-5_21
bibtex: '@inproceedings{Mohr_2015, series={LNCS}, title={A Metric for Functional
Reusability of Services}, DOI={10.1007/978-3-319-14130-5_21},
booktitle={Proceedings of the 14th International Conference on Software Reuse
(ICSR)}, author={Mohr, Felix}, year={2015}, pages={298--313}, collection={LNCS}
}'
chicago: Mohr, Felix. “A Metric for Functional Reusability of Services.” In Proceedings
of the 14th International Conference on Software Reuse (ICSR), 298--313. LNCS,
2015. https://doi.org/10.1007/978-3-319-14130-5_21.
ieee: F. Mohr, “A Metric for Functional Reusability of Services,” in Proceedings
of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313.
mla: Mohr, Felix. “A Metric for Functional Reusability of Services.” Proceedings
of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313,
doi:10.1007/978-3-319-14130-5_21.
short: 'F. Mohr, in: Proceedings of the 14th International Conference on Software
Reuse (ICSR), 2015, pp. 298--313.'
date_created: 2017-10-17T12:41:55Z
date_updated: 2022-01-06T06:59:07Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1007/978-3-319-14130-5_21
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:38:44Z
date_updated: 2018-03-20T07:38:44Z
file_id: '1428'
file_name: 324-ICSR-Mohr-15.pdf
file_size: 569475
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:38:44Z
has_accepted_license: '1'
language:
- iso: eng
page: 298--313
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 14th International Conference on Software Reuse (ICSR)
series_title: LNCS
status: public
title: A Metric for Functional Reusability of Services
type: conference
user_id: '477'
year: '2015'
...
---
_id: '319'
abstract:
- lang: eng
text: Services are self-contained and platform independent software components that
aim at maximizing software reuse. The automated composition of services to a target
software artifact has been tackled with many AI techniques, but existing approaches
make unreasonably strong assumptions such as a predefined data flow, are limited
to tiny problem sizes, ignore non-functional properties, or assume offline service
repositories. This paper presents an algorithm that automatically composes services
without making such assumptions. We employ a backward search algorithm that starts
from an empty composition and prepends service calls to already discovered candidates
until a solution is found. Available services are determined during the search
process. We implemented our algorithm, performed an experimental evaluation, and
compared it to other approaches.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
citation:
ama: 'Mohr F, Jungmann A, Kleine Büning H. Automated Online Service Composition.
In: Proceedings of the 12th IEEE International Conference on Services Computing
(SCC). ; 2015:57--64. doi:10.1109/SCC.2015.18'
apa: Mohr, F., Jungmann, A., & Kleine Büning, H. (2015). Automated Online Service
Composition. In Proceedings of the 12th IEEE International Conference on Services
Computing (SCC) (pp. 57--64). https://doi.org/10.1109/SCC.2015.18
bibtex: '@inproceedings{Mohr_Jungmann_Kleine Büning_2015, title={Automated Online
Service Composition}, DOI={10.1109/SCC.2015.18},
booktitle={Proceedings of the 12th IEEE International Conference on Services Computing
(SCC)}, author={Mohr, Felix and Jungmann, Alexander and Kleine Büning, Hans},
year={2015}, pages={57--64} }'
chicago: Mohr, Felix, Alexander Jungmann, and Hans Kleine Büning. “Automated Online
Service Composition.” In Proceedings of the 12th IEEE International Conference
on Services Computing (SCC), 57--64, 2015. https://doi.org/10.1109/SCC.2015.18.
ieee: F. Mohr, A. Jungmann, and H. Kleine Büning, “Automated Online Service Composition,”
in Proceedings of the 12th IEEE International Conference on Services Computing
(SCC), 2015, pp. 57--64.
mla: Mohr, Felix, et al. “Automated Online Service Composition.” Proceedings
of the 12th IEEE International Conference on Services Computing (SCC), 2015,
pp. 57--64, doi:10.1109/SCC.2015.18.
short: 'F. Mohr, A. Jungmann, H. Kleine Büning, in: Proceedings of the 12th IEEE
International Conference on Services Computing (SCC), 2015, pp. 57--64.'
date_created: 2017-10-17T12:41:54Z
date_updated: 2022-01-06T06:59:04Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SCC.2015.18
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:42:03Z
date_updated: 2018-03-20T07:42:03Z
file_id: '1434'
file_name: 319-07207336.pdf
file_size: 345742
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:42:03Z
has_accepted_license: '1'
language:
- iso: eng
page: 57--64
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 12th IEEE International Conference on Services Computing
(SCC)
status: public
title: Automated Online Service Composition
type: conference
user_id: '477'
year: '2015'
...
---
_id: '4792'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning for Classification.
IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033. doi:10.1109/tfuzz.2015.2396078
apa: Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning for
Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
https://doi.org/10.1109/tfuzz.2015.2396078
bibtex: '@article{Senge_Hüllermeier_2015, title={Fast Fuzzy Pattern Tree Learning
for Classification}, volume={23}, DOI={10.1109/tfuzz.2015.2396078},
number={6}, journal={IEEE Transactions on Fuzzy Systems}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Senge, Robin and Hüllermeier,
Eyke}, year={2015}, pages={2024–2033} }'
chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning
for Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015):
2024–33. https://doi.org/10.1109/tfuzz.2015.2396078.'
ieee: R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning for Classification,”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification.”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, Institute of Electrical
and Electronics Engineers (IEEE), 2015, pp. 2024–33, doi:10.1109/tfuzz.2015.2396078.
short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
date_created: 2018-10-22T06:53:37Z
date_updated: 2022-01-06T07:01:22Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.1109/tfuzz.2015.2396078
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T15:53:23Z
date_updated: 2018-11-02T15:53:23Z
file_id: '5316'
file_name: 07018950.pdf
file_size: 732827
relation: main_file
success: 1
file_date_updated: 2018-11-02T15:53:23Z
has_accepted_license: '1'
intvolume: ' 23'
issue: '6'
language:
- iso: eng
page: 2024-2033
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '11'
name: SFB 901 - Subproject B3
publication: IEEE Transactions on Fuzzy Systems
publication_identifier:
issn:
- 1063-6706
- 1941-0034
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Fast Fuzzy Pattern Tree Learning for Classification
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '15406'
author:
- first_name: D.
full_name: Schäfer, D.
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Preference-based meta-learning using dyad ranking:
Recommending algorithms in cold-start situations. In: In Proceedings of the
2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located
ECML/PKDD, Porto, Portugal. ; 2015:110-111.'
apa: 'Schäfer, D., & Hüllermeier, E. (2015). Preference-based meta-learning
using dyad ranking: Recommending algorithms in cold-start situations. In in
Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm
Selection co-located ECML/PKDD, Porto, Portugal (pp. 110–111).'
bibtex: '@inproceedings{Schäfer_Hüllermeier_2015, title={Preference-based meta-learning
using dyad ranking: Recommending algorithms in cold-start situations}, booktitle={in
Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm
Selection co-located ECML/PKDD, Porto, Portugal}, author={Schäfer, D. and Hüllermeier,
Eyke}, year={2015}, pages={110–111} }'
chicago: 'Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using
Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings
of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located
ECML/PKDD, Porto, Portugal, 110–11, 2015.'
ieee: 'D. Schäfer and E. Hüllermeier, “Preference-based meta-learning using dyad
ranking: Recommending algorithms in cold-start situations,” in in Proceedings
of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located
ECML/PKDD, Porto, Portugal, 2015, pp. 110–111.'
mla: 'Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using Dyad
Ranking: Recommending Algorithms in Cold-Start Situations.” In Proceedings
of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located
ECML/PKDD, Porto, Portugal, 2015, pp. 110–11.'
short: 'D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International
Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto,
Portugal, 2015, pp. 110–111.'
date_created: 2019-12-19T16:52:09Z
date_updated: 2022-01-06T06:52:23Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 110-111
publication: in Proceedings of the 2015 international Workshop on Meta-Learning and
Algorithm Selection co-located ECML/PKDD, Porto, Portugal
status: public
title: 'Preference-based meta-learning using dyad ranking: Recommending algorithms
in cold-start situations'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '15749'
author:
- first_name: Adil
full_name: Paul, Adil
last_name: Paul
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Paul A, Hüllermeier E. A cbr approach to the angry birds game. In: In Workshop
Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning,
Frankfurt, Germany. ; 2015:68-77.'
apa: Paul, A., & Hüllermeier, E. (2015). A cbr approach to the angry birds game.
In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based
Reasoning, Frankfurt, Germany (pp. 68–77).
bibtex: '@inproceedings{Paul_Hüllermeier_2015, title={A cbr approach to the angry
birds game}, booktitle={In Workshop Proceedings from ICCBR, 23rd International
Conference on Case-Based Reasoning, Frankfurt, Germany}, author={Paul, Adil and
Hüllermeier, Eyke}, year={2015}, pages={68–77} }'
chicago: Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.”
In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based
Reasoning, Frankfurt, Germany, 68–77, 2015.
ieee: A. Paul and E. Hüllermeier, “A cbr approach to the angry birds game,” in In
Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning,
Frankfurt, Germany, 2015, pp. 68–77.
mla: Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.”
In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based
Reasoning, Frankfurt, Germany, 2015, pp. 68–77.
short: 'A. Paul, E. Hüllermeier, in: In Workshop Proceedings from ICCBR, 23rd International
Conference on Case-Based Reasoning, Frankfurt, Germany, 2015, pp. 68–77.'
date_created: 2020-02-03T14:07:45Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 68-77
publication: In Workshop Proceedings from ICCBR, 23rd International Conference on
Case-Based Reasoning, Frankfurt, Germany
status: public
title: A cbr approach to the angry birds game
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '15750'
author:
- first_name: R.
full_name: Ewerth, R.
last_name: Ewerth
- first_name: A.
full_name: Balz, A.
last_name: Balz
- first_name: J.
full_name: Gehlhaar, J.
last_name: Gehlhaar
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation
in monocular images: Quantitative versus qualitative approaches. In: Hoffmann
F, Hüllermeier E, eds. In Proceedings 25. Workshop Computational Intelligence,
Dortmund, Germany. KIT Scientific Publishing; 2015:235-240.'
apa: 'Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., & Hüllermeier, E.
(2015). Depth estimation in monocular images: Quantitative versus qualitative
approaches. In F. Hoffmann & E. Hüllermeier (Eds.), In Proceedings 25.
Workshop Computational Intelligence, Dortmund, Germany (pp. 235–240). KIT
Scientific Publishing.'
bibtex: '@inproceedings{Ewerth_Balz_Gehlhaar_Dembczynski_Hüllermeier_2015, title={Depth
estimation in monocular images: Quantitative versus qualitative approaches}, booktitle={In
Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany}, publisher={KIT
Scientific Publishing}, author={Ewerth, R. and Balz, A. and Gehlhaar, J. and Dembczynski,
K. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors},
year={2015}, pages={235–240} }'
chicago: 'Ewerth, R., A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier.
“Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.”
In In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany,
edited by F. Hoffmann and Eyke Hüllermeier, 235–40. KIT Scientific Publishing,
2015.'
ieee: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth
estimation in monocular images: Quantitative versus qualitative approaches,” in
In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany,
2015, pp. 235–240.'
mla: 'Ewerth, R., et al. “Depth Estimation in Monocular Images: Quantitative versus
Qualitative Approaches.” In Proceedings 25. Workshop Computational Intelligence,
Dortmund, Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific
Publishing, 2015, pp. 235–40.'
short: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: F.
Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25. Workshop Computational Intelligence,
Dortmund, Germany, KIT Scientific Publishing, 2015, pp. 235–240.'
date_created: 2020-02-03T14:12:59Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
language:
- iso: eng
page: 235-240
publication: In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany
publisher: KIT Scientific Publishing
status: public
title: 'Depth estimation in monocular images: Quantitative versus qualitative approaches'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '15751'
author:
- first_name: S.
full_name: Lu, S.
last_name: Lu
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation.
In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25th Workshop Computational
Intelligence, Dortmund Germany. KIT Scientific Publishing; 2015:97-104.'
apa: Lu, S., & Hüllermeier, E. (2015). Locally weighted regression through data
imprecisiation. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings
25th Workshop Computational Intelligence, Dortmund Germany (pp. 97–104). KIT
Scientific Publishing.
bibtex: '@inproceedings{Lu_Hüllermeier_2015, title={Locally weighted regression
through data imprecisiation}, booktitle={in Proceedings 25th Workshop Computational
Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Lu,
S. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors},
year={2015}, pages={97–104} }'
chicago: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data
Imprecisiation.” In In Proceedings 25th Workshop Computational Intelligence,
Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 97–104. KIT
Scientific Publishing, 2015.
ieee: S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,”
in in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany,
2015, pp. 97–104.
mla: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.”
In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany,
edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific Publishing, 2015, pp.
97–104.
short: 'S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings
25th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing,
2015, pp. 97–104.'
date_created: 2020-02-03T14:16:31Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
language:
- iso: eng
page: 97-104
publication: in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany
publisher: KIT Scientific Publishing
status: public
title: Locally weighted regression through data imprecisiation
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '16049'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Senge R, Hüllermeier E. Fast fuzzy pattern tree learning for classification
. IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
apa: Senge, R., & Hüllermeier, E. (2015). Fast fuzzy pattern tree learning for
classification . IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
bibtex: '@article{Senge_Hüllermeier_2015, title={Fast fuzzy pattern tree learning
for classification }, volume={23}, number={6}, journal={IEEE Transactions on Fuzzy
Systems}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033}
}'
chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning
for Classification .” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015):
2024–33.'
ieee: R. Senge and E. Hüllermeier, “Fast fuzzy pattern tree learning for classification
,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification
.” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, 2015, pp. 2024–33.
short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
date_created: 2020-02-24T16:15:47Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 23'
issue: '6'
language:
- iso: eng
page: 2024-2033
publication: IEEE Transactions on Fuzzy Systems
status: public
title: 'Fast fuzzy pattern tree learning for classification '
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '16051'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. From knowledge-based to data driven fuzzy modeling: Development,
criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.'
apa: 'Hüllermeier, E. (2015). From knowledge-based to data driven fuzzy modeling:
Development, criticism and alternative directions. Informatik Spektrum,
38(6), 500–509.'
bibtex: '@article{Hüllermeier_2015, title={From knowledge-based to data driven fuzzy
modeling: Development, criticism and alternative directions}, volume={38}, number={6},
journal={Informatik Spektrum}, author={Hüllermeier, Eyke}, year={2015}, pages={500–509}
}'
chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling:
Development, Criticism and Alternative Directions.” Informatik Spektrum
38, no. 6 (2015): 500–509.'
ieee: 'E. Hüllermeier, “From knowledge-based to data driven fuzzy modeling: Development,
criticism and alternative directions,” Informatik Spektrum, vol. 38, no.
6, pp. 500–509, 2015.'
mla: 'Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling: Development,
Criticism and Alternative Directions.” Informatik Spektrum, vol. 38, no.
6, 2015, pp. 500–09.'
short: E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509.
date_created: 2020-02-24T16:19:25Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 38'
issue: '6'
language:
- iso: eng
page: 500-509
publication: Informatik Spektrum
status: public
title: 'From knowledge-based to data driven fuzzy modeling: Development, criticism
and alternative directions'
type: journal_article
user_id: '49109'
volume: 38
year: '2015'
...
---
_id: '16053'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems.
2015;281:292-299.
apa: Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets
and Systems, 281, 292–299.
bibtex: '@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?},
volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015},
pages={292–299} }'
chicago: 'Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy
Sets and Systems 281 (2015): 292–99.'
ieee: E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and
Systems, vol. 281, pp. 292–299, 2015.
mla: Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets
and Systems, vol. 281, 2015, pp. 292–99.
short: E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
date_created: 2020-02-24T16:22:26Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 281'
language:
- iso: eng
page: 292-299
publication: Fuzzy Sets and Systems
status: public
title: Does machine learning need fuzzy logic?
type: journal_article
user_id: '49109'
volume: 281
year: '2015'
...
---
_id: '16058'
author:
- first_name: W.
full_name: Waegeman, W.
last_name: Waegeman
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: A.
full_name: Jachnik, A.
last_name: Jachnik
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-optimality
of F-measure maximizers. Journal of Machine Learning Research. 2015;15:3313-3368.
apa: Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E.
(2015). On the Bayes-optimality of F-measure maximizers. Journal of Machine
Learning Research, 15, 3313–3368.
bibtex: '@article{Waegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title={On
the Bayes-optimality of F-measure maximizers}, volume={15}, journal={Journal of
Machine Learning Research}, author={Waegeman, W. and Dembczynski, K. and Jachnik,
A. and Cheng, W. and Hüllermeier, Eyke}, year={2015}, pages={3313–3368} }'
chicago: 'Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier.
“On the Bayes-Optimality of F-Measure Maximizers.” Journal of Machine Learning
Research 15 (2015): 3313–68.'
ieee: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On
the Bayes-optimality of F-measure maximizers,” Journal of Machine Learning
Research, vol. 15, pp. 3313–3368, 2015.
mla: Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” Journal
of Machine Learning Research, vol. 15, 2015, pp. 3313–68.
short: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, Journal
of Machine Learning Research 15 (2015) 3313–3368.
date_created: 2020-02-24T16:29:58Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 15'
language:
- iso: eng
page: 3313-3368
publication: Journal of Machine Learning Research
status: public
title: On the Bayes-optimality of F-measure maximizers
type: journal_article
user_id: '49109'
volume: 15
year: '2015'
...
---
_id: '16067'
author:
- first_name: A.
full_name: Shaker, A.
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary
data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.'
apa: 'Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning
from non-stationary data streams: Experimental design and case study. Neurocomputing,
150, 250–264.'
bibtex: '@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive
learning from non-stationary data streams: Experimental design and case study},
volume={150}, journal={Neurocomputing}, author={Shaker, A. and Hüllermeier, Eyke},
year={2015}, pages={250–264} }'
chicago: 'Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing
150 (2015): 250–64.'
ieee: 'A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from
non-stationary data streams: Experimental design and case study,” Neurocomputing,
vol. 150, pp. 250–264, 2015.'
mla: 'Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing,
vol. 150, 2015, pp. 250–64.'
short: A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264.
date_created: 2020-02-24T16:42:19Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 150'
language:
- iso: eng
page: 250-264
publication: Neurocomputing
status: public
title: 'Recovery analysis for adaptive learning from non-stationary data streams:
Experimental design and case study'
type: journal_article
user_id: '49109'
volume: 150
year: '2015'
...
---
_id: '10234'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Minor, M.
last_name: Minor
citation:
ama: 'Hüllermeier E, Minor M. Case-Based Reasoning Research and Development . In:
In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR
2015) LNAI 9343. Springer; 2015.'
apa: Hüllermeier, E., & Minor, M. (2015). Case-Based Reasoning Research and
Development . In in Proceedings 23rd International Conference on Case-Based
Reasoning (ICCBR 2015) LNAI 9343. Springer.
bibtex: '@inproceedings{Hüllermeier_Minor_2015, title={Case-Based Reasoning Research
and Development }, booktitle={in Proceedings 23rd International Conference on
Case-Based Reasoning (ICCBR 2015) LNAI 9343}, publisher={Springer}, author={Hüllermeier,
Eyke and Minor, M.}, year={2015} }'
chicago: Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development
.” In In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) LNAI 9343. Springer, 2015.
ieee: E. Hüllermeier and M. Minor, “Case-Based Reasoning Research and Development
,” in in Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) LNAI 9343, 2015.
mla: Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development
.” In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR
2015) LNAI 9343, Springer, 2015.
short: 'E. Hüllermeier, M. Minor, in: In Proceedings 23rd International Conference
on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015.'
date_created: 2019-06-13T12:45:25Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: in Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) LNAI 9343
publisher: Springer
status: public
title: 'Case-Based Reasoning Research and Development '
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10235'
author:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hoffmann F, Hüllermeier E. Proceedings 25. Workshop Computational Intelligence
KIT Scientific Publishing. In: ; 2015.'
apa: Hoffmann, F., & Hüllermeier, E. (2015). Proceedings 25. Workshop Computational
Intelligence KIT Scientific Publishing.
bibtex: '@inproceedings{Hoffmann_Hüllermeier_2015, title={Proceedings 25. Workshop
Computational Intelligence KIT Scientific Publishing}, author={Hoffmann, F. and
Hüllermeier, Eyke}, year={2015} }'
chicago: Hoffmann, F., and Eyke Hüllermeier. “Proceedings 25. Workshop Computational
Intelligence KIT Scientific Publishing,” 2015.
ieee: F. Hoffmann and E. Hüllermeier, “Proceedings 25. Workshop Computational Intelligence
KIT Scientific Publishing,” 2015.
mla: Hoffmann, F., and Eyke Hüllermeier. Proceedings 25. Workshop Computational
Intelligence KIT Scientific Publishing. 2015.
short: 'F. Hoffmann, E. Hüllermeier, in: 2015.'
date_created: 2019-06-13T12:48:18Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
status: public
title: Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10236'
author:
- first_name: A.
full_name: Abdel-Aziz, A.
last_name: Abdel-Aziz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Abdel-Aziz A, Hüllermeier E. Case Base Maintenance in Preference-Based CBR.
In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR
2015). ; 2015:1-14.'
apa: Abdel-Aziz, A., & Hüllermeier, E. (2015). Case Base Maintenance in Preference-Based
CBR. In In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015) (pp. 1–14).
bibtex: '@inproceedings{Abdel-Aziz_Hüllermeier_2015, title={Case Base Maintenance
in Preference-Based CBR}, booktitle={In Proceedings 23rd International Conference
on Case-Based Reasoning (ICCBR 2015)}, author={Abdel-Aziz, A. and Hüllermeier,
Eyke}, year={2015}, pages={1–14} }'
chicago: Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based
CBR.” In In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015), 1–14, 2015.
ieee: A. Abdel-Aziz and E. Hüllermeier, “Case Base Maintenance in Preference-Based
CBR,” in In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015), 2015, pp. 1–14.
mla: Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based
CBR.” In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015), 2015, pp. 1–14.
short: 'A. Abdel-Aziz, E. Hüllermeier, in: In Proceedings 23rd International Conference
on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.'
date_created: 2019-06-13T12:53:23Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1-14
publication: In Proceedings 23rd International Conference on Case-Based Reasoning
(ICCBR 2015)
status: public
title: Case Base Maintenance in Preference-Based CBR
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10237'
author:
- first_name: B.
full_name: Szörényi, B.
last_name: Szörényi
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Szörényi B, Busa-Fekete R, Weng P, Hüllermeier E. Qualitative Multi-Armed
Bandits: A Quantile-Based Approach. In: In Proceedings International Conference
on Machine Learning (ICML 2015). ; 2015:1660-1668.'
apa: 'Szörényi, B., Busa-Fekete, R., Weng, P., & Hüllermeier, E. (2015). Qualitative
Multi-Armed Bandits: A Quantile-Based Approach. In In Proceedings International
Conference on Machine Learning (ICML 2015) (pp. 1660–1668).'
bibtex: '@inproceedings{Szörényi_Busa-Fekete_Weng_Hüllermeier_2015, title={Qualitative
Multi-Armed Bandits: A Quantile-Based Approach}, booktitle={In Proceedings International
Conference on Machine Learning (ICML 2015)}, author={Szörényi, B. and Busa-Fekete,
Robert and Weng, P. and Hüllermeier, Eyke}, year={2015}, pages={1660–1668} }'
chicago: 'Szörényi, B., Robert Busa-Fekete, P. Weng, and Eyke Hüllermeier. “Qualitative
Multi-Armed Bandits: A Quantile-Based Approach.” In In Proceedings International
Conference on Machine Learning (ICML 2015), 1660–68, 2015.'
ieee: 'B. Szörényi, R. Busa-Fekete, P. Weng, and E. Hüllermeier, “Qualitative Multi-Armed
Bandits: A Quantile-Based Approach,” in In Proceedings International Conference
on Machine Learning (ICML 2015), 2015, pp. 1660–1668.'
mla: 'Szörényi, B., et al. “Qualitative Multi-Armed Bandits: A Quantile-Based Approach.”
In Proceedings International Conference on Machine Learning (ICML 2015),
2015, pp. 1660–68.'
short: 'B. Szörényi, R. Busa-Fekete, P. Weng, E. Hüllermeier, in: In Proceedings
International Conference on Machine Learning (ICML 2015), 2015, pp. 1660–1668.'
date_created: 2019-06-13T13:22:04Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 1660-1668
publication: In Proceedings International Conference on Machine Learning (ICML 2015)
status: public
title: 'Qualitative Multi-Armed Bandits: A Quantile-Based Approach'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10238'
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: In Proceedings European Conference on Machine Learning and Knowledge Discovery
in Databases (ECML/PKDD). ; 2015:227-242.'
apa: Schäfer, D., & Hüllermeier, E. (2015). Dyad Ranking Using A Bilinear Plackett-Luce
Model. In in Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD) (pp. 227–242).
bibtex: '@inproceedings{Schäfer_Hüllermeier_2015, title={Dyad Ranking Using A Bilinear
Plackett-Luce Model}, booktitle={in Proceedings European Conference on Machine
Learning and Knowledge Discovery in Databases (ECML/PKDD)}, author={Schäfer, Dirk
and Hüllermeier, Eyke}, year={2015}, pages={227–242} }'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce
Model.” In In Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD), 227–42, 2015.
ieee: D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce
Model,” in in Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD), 2015, pp. 227–242.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce
Model.” In Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD), 2015, pp. 227–42.
short: 'D. Schäfer, E. Hüllermeier, in: In Proceedings European Conference on Machine
Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 227–242.'
date_created: 2019-06-13T13:25:29Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 227-242
publication: in Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD)
status: public
title: Dyad Ranking Using A Bilinear Plackett-Luce Model
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10239'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
citation:
ama: 'Hüllermeier E, Cheng W. Superset Learning Based on Generalized Loss Minimization
. In: In Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD). ; 2015:260-275.'
apa: Hüllermeier, E., & Cheng, W. (2015). Superset Learning Based on Generalized
Loss Minimization . In in Proceedings European Conference on Machine Learning
and Knowledge Discovery in Databases (ECML/PKDD) (pp. 260–275).
bibtex: '@inproceedings{Hüllermeier_Cheng_2015, title={Superset Learning Based on
Generalized Loss Minimization }, booktitle={in Proceedings European Conference
on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)}, author={Hüllermeier,
Eyke and Cheng, W.}, year={2015}, pages={260–275} }'
chicago: Hüllermeier, Eyke, and W. Cheng. “Superset Learning Based on Generalized
Loss Minimization .” In In Proceedings European Conference on Machine Learning
and Knowledge Discovery in Databases (ECML/PKDD), 260–75, 2015.
ieee: E. Hüllermeier and W. Cheng, “Superset Learning Based on Generalized Loss
Minimization ,” in in Proceedings European Conference on Machine Learning and
Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–275.
mla: Hüllermeier, Eyke, and W. Cheng. “Superset Learning Based on Generalized Loss
Minimization .” In Proceedings European Conference on Machine Learning and
Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–75.
short: 'E. Hüllermeier, W. Cheng, in: In Proceedings European Conference on Machine
Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 260–275.'
date_created: 2019-06-13T13:28:53Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 260-275
publication: in Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD)
status: public
title: 'Superset Learning Based on Generalized Loss Minimization '
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10240'
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. Weighted Rank Correlation : A Flexible Approach
Based on Fuzzy Order Relations. In: In Proceedings European Conference on Machine
Learning and Knowledge Discovery in Databases (ECML/PKDD). ; 2015:422-437.'
apa: 'Henzgen, S., & Hüllermeier, E. (2015). Weighted Rank Correlation : A Flexible
Approach Based on Fuzzy Order Relations. In in Proceedings European Conference
on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD) (pp.
422–437).'
bibtex: '@inproceedings{Henzgen_Hüllermeier_2015, title={Weighted Rank Correlation :
A Flexible Approach Based on Fuzzy Order Relations}, booktitle={in Proceedings
European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)},
author={Henzgen, Sascha and Hüllermeier, Eyke}, year={2015}, pages={422–437} }'
chicago: 'Henzgen, Sascha, and Eyke Hüllermeier. “Weighted Rank Correlation : A
Flexible Approach Based on Fuzzy Order Relations.” In In Proceedings European
Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD),
422–37, 2015.'
ieee: 'S. Henzgen and E. Hüllermeier, “Weighted Rank Correlation : A Flexible Approach
Based on Fuzzy Order Relations,” in in Proceedings European Conference on Machine
Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 422–437.'
mla: 'Henzgen, Sascha, and Eyke Hüllermeier. “Weighted Rank Correlation : A Flexible
Approach Based on Fuzzy Order Relations.” In Proceedings European Conference
on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015,
pp. 422–37.'
short: 'S. Henzgen, E. Hüllermeier, in: In Proceedings European Conference on Machine
Learning and Knowledge Discovery in Databases (ECML/PKDD), 2015, pp. 422–437.'
date_created: 2019-06-13T13:32:20Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 422-437
publication: in Proceedings European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD)
status: public
title: 'Weighted Rank Correlation : A Flexible Approach Based on Fuzzy Order Relations'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10241'
author:
- first_name: B.
full_name: Szörényi, B.
last_name: Szörényi
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Adil
full_name: Paul, Adil
last_name: Paul
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Szörényi B, Busa-Fekete R, Paul A, Hüllermeier E. Online Rank Elicitation
for Plackett-Luce: A Dueling Bandits Approach. In: In Advances in Neural Information
Processing Systems 28 (NIPS 2015). ; 2015:604-612.'
apa: 'Szörényi, B., Busa-Fekete, R., Paul, A., & Hüllermeier, E. (2015). Online
Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. In in Advances
in Neural Information Processing Systems 28 (NIPS 2015) (pp. 604–612).'
bibtex: '@inproceedings{Szörényi_Busa-Fekete_Paul_Hüllermeier_2015, title={Online
Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach}, booktitle={in
Advances in Neural Information Processing Systems 28 (NIPS 2015)}, author={Szörényi,
B. and Busa-Fekete, Robert and Paul, Adil and Hüllermeier, Eyke}, year={2015},
pages={604–612} }'
chicago: 'Szörényi, B., Robert Busa-Fekete, Adil Paul, and Eyke Hüllermeier. “Online
Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.” In In Advances
in Neural Information Processing Systems 28 (NIPS 2015), 604–12, 2015.'
ieee: 'B. Szörényi, R. Busa-Fekete, A. Paul, and E. Hüllermeier, “Online Rank Elicitation
for Plackett-Luce: A Dueling Bandits Approach,” in in Advances in Neural Information
Processing Systems 28 (NIPS 2015), 2015, pp. 604–612.'
mla: 'Szörényi, B., et al. “Online Rank Elicitation for Plackett-Luce: A Dueling
Bandits Approach.” In Advances in Neural Information Processing Systems 28
(NIPS 2015), 2015, pp. 604–12.'
short: 'B. Szörényi, R. Busa-Fekete, A. Paul, E. Hüllermeier, in: In Advances in
Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 604–612.'
date_created: 2019-06-13T13:37:19Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 604-612
publication: in Advances in Neural Information Processing Systems 28 (NIPS 2015)
status: public
title: 'Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10242'
author:
- first_name: B.
full_name: Szörényi, B.
last_name: Szörényi
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Szörényi B, Busa-Fekete R, Dembczynski K, Hüllermeier E. Online F-Measure
Optimization. In: In Advances in Neural Information Processing Systems 28 (NIPS
2015). ; 2015:595-603.'
apa: Szörényi, B., Busa-Fekete, R., Dembczynski, K., & Hüllermeier, E. (2015).
Online F-Measure Optimization. In in Advances in Neural Information Processing
Systems 28 (NIPS 2015) (pp. 595–603).
bibtex: '@inproceedings{Szörényi_Busa-Fekete_Dembczynski_Hüllermeier_2015, title={Online
F-Measure Optimization}, booktitle={in Advances in Neural Information Processing
Systems 28 (NIPS 2015)}, author={Szörényi, B. and Busa-Fekete, Robert and Dembczynski,
K. and Hüllermeier, Eyke}, year={2015}, pages={595–603} }'
chicago: Szörényi, B., Robert Busa-Fekete, K. Dembczynski, and Eyke Hüllermeier.
“Online F-Measure Optimization.” In In Advances in Neural Information Processing
Systems 28 (NIPS 2015), 595–603, 2015.
ieee: B. Szörényi, R. Busa-Fekete, K. Dembczynski, and E. Hüllermeier, “Online F-Measure
Optimization,” in in Advances in Neural Information Processing Systems 28 (NIPS
2015), 2015, pp. 595–603.
mla: Szörényi, B., et al. “Online F-Measure Optimization.” In Advances in Neural
Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.
short: 'B. Szörényi, R. Busa-Fekete, K. Dembczynski, E. Hüllermeier, in: In Advances
in Neural Information Processing Systems 28 (NIPS 2015), 2015, pp. 595–603.'
date_created: 2019-06-13T13:41:45Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 595-603
publication: in Advances in Neural Information Processing Systems 28 (NIPS 2015)
status: public
title: Online F-Measure Optimization
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10243'
author:
- first_name: Adil
full_name: El Mesaoudi-Paul, Adil
last_name: El Mesaoudi-Paul
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'El Mesaoudi-Paul A, Hüllermeier E. A CBR Approach to the Angry Birds Game.
In: In Workshop Proc. 23rd International Conference on Case-Based Reasoning
(ICCBR 2015). ; 2015:68-77.'
apa: El Mesaoudi-Paul, A., & Hüllermeier, E. (2015). A CBR Approach to the Angry
Birds Game. In in Workshop Proc. 23rd International Conference on Case-Based
Reasoning (ICCBR 2015) (pp. 68–77).
bibtex: '@inproceedings{El Mesaoudi-Paul_Hüllermeier_2015, title={A CBR Approach
to the Angry Birds Game}, booktitle={in Workshop Proc. 23rd International Conference
on Case-Based Reasoning (ICCBR 2015)}, author={El Mesaoudi-Paul, Adil and Hüllermeier,
Eyke}, year={2015}, pages={68–77} }'
chicago: El Mesaoudi-Paul, Adil, and Eyke Hüllermeier. “A CBR Approach to the Angry
Birds Game.” In In Workshop Proc. 23rd International Conference on Case-Based
Reasoning (ICCBR 2015), 68–77, 2015.
ieee: A. El Mesaoudi-Paul and E. Hüllermeier, “A CBR Approach to the Angry Birds
Game,” in in Workshop Proc. 23rd International Conference on Case-Based Reasoning
(ICCBR 2015), 2015, pp. 68–77.
mla: El Mesaoudi-Paul, Adil, and Eyke Hüllermeier. “A CBR Approach to the Angry
Birds Game.” In Workshop Proc. 23rd International Conference on Case-Based
Reasoning (ICCBR 2015), 2015, pp. 68–77.
short: 'A. El Mesaoudi-Paul, E. Hüllermeier, in: In Workshop Proc. 23rd International
Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 68–77.'
date_created: 2019-06-13T13:55:28Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 68-77
publication: in Workshop Proc. 23rd International Conference on Case-Based Reasoning
(ICCBR 2015)
status: public
title: A CBR Approach to the Angry Birds Game
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10244'
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. Preference-Based Meta- Learning Using Dyad Ranking:
Recommending Algorithms in Cold-Start Situations. In: In Proceedings of the
2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML).
; 2015:110-111.'
apa: 'Schäfer, D., & Hüllermeier, E. (2015). Preference-Based Meta- Learning
Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations. In in
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm
Selection (MetaSel@PKDD/ECML) (pp. 110–111).'
bibtex: '@inproceedings{Schäfer_Hüllermeier_2015, title={Preference-Based Meta-
Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations},
booktitle={in Proceedings of the 2015 International Workshop on Meta-Learning
and Algorithm Selection (MetaSel@PKDD/ECML)}, author={Schäfer, Dirk and Hüllermeier,
Eyke}, year={2015}, pages={110–111} }'
chicago: 'Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning
Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm
Selection (MetaSel@PKDD/ECML), 110–11, 2015.'
ieee: 'D. Schäfer and E. Hüllermeier, “Preference-Based Meta- Learning Using Dyad
Ranking: Recommending Algorithms in Cold-Start Situations,” in in Proceedings
of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML),
2015, pp. 110–111.'
mla: 'Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning Using
Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In Proceedings
of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML),
2015, pp. 110–11.'
short: 'D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International
Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp.
110–111.'
date_created: 2019-06-13T14:01:45Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 110-111
publication: in Proceedings of the 2015 International Workshop on Meta-Learning and
Algorithm Selection (MetaSel@PKDD/ECML)
status: public
title: 'Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms
in Cold-Start Situations'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10245'
author:
- first_name: S.
full_name: Lu, S.
last_name: Lu
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation.
In: Proceedings 25. Workshop Computational Intelligence. ; 2015:97-104.'
apa: Lu, S., & Hüllermeier, E. (2015). Locally weighted regression through data
imprecisiation. In Proceedings 25. Workshop Computational Intelligence
(pp. 97–104).
bibtex: '@inproceedings{Lu_Hüllermeier_2015, title={Locally weighted regression
through data imprecisiation}, booktitle={Proceedings 25. Workshop Computational
Intelligence}, author={Lu, S. and Hüllermeier, Eyke}, year={2015}, pages={97–104}
}'
chicago: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data
Imprecisiation.” In Proceedings 25. Workshop Computational Intelligence,
97–104, 2015.
ieee: S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,”
in Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
mla: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.”
Proceedings 25. Workshop Computational Intelligence, 2015, pp. 97–104.
short: 'S. Lu, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence,
2015, pp. 97–104.'
date_created: 2019-06-13T14:11:22Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 97-104
publication: Proceedings 25. Workshop Computational Intelligence
status: public
title: Locally weighted regression through data imprecisiation
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10246'
author:
- first_name: Ralph
full_name: Ewerth, Ralph
last_name: Ewerth
- first_name: A.
full_name: Balz, A.
last_name: Balz
- first_name: J.
full_name: Gehlhaar, J.
last_name: Gehlhaar
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation
in monocular images: Quantitative versus qualitative approaches. In: Proceedings
25. Workshop Computational Intelligence. ; 2015:235-240.'
apa: 'Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., & Hüllermeier, E.
(2015). Depth estimation in monocular images: Quantitative versus qualitative
approaches. In Proceedings 25. Workshop Computational Intelligence (pp.
235–240).'
bibtex: '@inproceedings{Ewerth_Balz_Gehlhaar_Dembczynski_Hüllermeier_2015, title={Depth
estimation in monocular images: Quantitative versus qualitative approaches}, booktitle={Proceedings
25. Workshop Computational Intelligence}, author={Ewerth, Ralph and Balz, A. and
Gehlhaar, J. and Dembczynski, K. and Hüllermeier, Eyke}, year={2015}, pages={235–240}
}'
chicago: 'Ewerth, Ralph, A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier.
“Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.”
In Proceedings 25. Workshop Computational Intelligence, 235–40, 2015.'
ieee: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth
estimation in monocular images: Quantitative versus qualitative approaches,” in
Proceedings 25. Workshop Computational Intelligence, 2015, pp. 235–240.'
mla: 'Ewerth, Ralph, et al. “Depth Estimation in Monocular Images: Quantitative
versus Qualitative Approaches.” Proceedings 25. Workshop Computational Intelligence,
2015, pp. 235–40.'
short: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: Proceedings
25. Workshop Computational Intelligence, 2015, pp. 235–240.'
date_created: 2019-06-13T14:20:49Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 235-240
publication: Proceedings 25. Workshop Computational Intelligence
status: public
title: 'Depth estimation in monocular images: Quantitative versus qualitative approaches'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10319'
author:
- first_name: W.
full_name: Waegeman, W.
last_name: Waegeman
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: A.
full_name: Jachnik, A.
last_name: Jachnik
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-Optimality
of F-Measure Maximizers. in Journal of Machine Learning Research. 2015;15:3333-3388.
apa: Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E.
(2015). On the Bayes-Optimality of F-Measure Maximizers. In Journal of Machine
Learning Research, 15, 3333–3388.
bibtex: '@article{Waegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title={On
the Bayes-Optimality of F-Measure Maximizers}, volume={15}, journal={in Journal
of Machine Learning Research}, author={Waegeman, W. and Dembczynski, K. and Jachnik,
A. and Cheng, W. and Hüllermeier, Eyke}, year={2015}, pages={3333–3388} }'
chicago: 'Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier.
“On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning
Research 15 (2015): 3333–88.'
ieee: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On
the Bayes-Optimality of F-Measure Maximizers,” in Journal of Machine Learning
Research, vol. 15, pp. 3333–3388, 2015.
mla: Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” In
Journal of Machine Learning Research, vol. 15, 2015, pp. 3333–88.
short: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, In Journal
of Machine Learning Research 15 (2015) 3333–3388.
date_created: 2019-06-26T13:04:35Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 15'
language:
- iso: eng
page: 3333-3388
publication: in Journal of Machine Learning Research
status: public
title: On the Bayes-Optimality of F-Measure Maximizers
type: journal_article
user_id: '49109'
volume: 15
year: '2015'
...
---
_id: '10320'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems.
2015;281:292-299.
apa: Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets
and Systems, 281, 292–299.
bibtex: '@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?},
volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015},
pages={292–299} }'
chicago: 'Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy
Sets and Systems 281 (2015): 292–99.'
ieee: E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and
Systems, vol. 281, pp. 292–299, 2015.
mla: Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets
and Systems, vol. 281, 2015, pp. 292–99.
short: E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
date_created: 2019-06-26T13:07:00Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 281'
language:
- iso: eng
page: 292-299
publication: Fuzzy Sets and Systems
status: public
title: Does machine learning need fuzzy logic?
type: journal_article
user_id: '49109'
volume: 281
year: '2015'
...
---
_id: '10321'
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. Recovery analysis for adaptive learning from non-stationary
data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.'
apa: 'Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning
from non-stationary data streams: Experimental design and case study. Neurocomputing,
150, 250–264.'
bibtex: '@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive
learning from non-stationary data streams: Experimental design and case study},
volume={150}, journal={Neurocomputing}, author={Shaker, Ammar and Hüllermeier,
Eyke}, year={2015}, pages={250–264} }'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing
150 (2015): 250–64.'
ieee: 'A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from
non-stationary data streams: Experimental design and case study,” Neurocomputing,
vol. 150, pp. 250–264, 2015.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing,
vol. 150, 2015, pp. 250–64.'
short: A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264.
date_created: 2019-06-26T13:09:44Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 150'
language:
- iso: eng
page: 250-264
publication: Neurocomputing
status: public
title: 'Recovery analysis for adaptive learning from non-stationary data streams:
Experimental design and case study'
type: journal_article
user_id: '49109'
volume: 150
year: '2015'
...
---
_id: '10322'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Hüllermeier E. From Knowledge-based to Data-driven fuzzy modeling-Development,
criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.
apa: Hüllermeier, E. (2015). From Knowledge-based to Data-driven fuzzy modeling-Development,
criticism and alternative directions. Informatik Spektrum, 38(6),
500–509.
bibtex: '@article{Hüllermeier_2015, title={From Knowledge-based to Data-driven fuzzy
modeling-Development, criticism and alternative directions}, volume={38}, number={6},
journal={Informatik Spektrum}, author={Hüllermeier, Eyke}, year={2015}, pages={500–509}
}'
chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development,
Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015):
500–509.'
ieee: E. Hüllermeier, “From Knowledge-based to Data-driven fuzzy modeling-Development,
criticism and alternative directions,” Informatik Spektrum, vol. 38, no.
6, pp. 500–509, 2015.
mla: Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development,
Criticism and Alternative Directions.” Informatik Spektrum, vol. 38, no.
6, 2015, pp. 500–09.
short: E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509.
date_created: 2019-06-26T13:12:59Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 38'
issue: '6'
language:
- iso: eng
page: 500-509
publication: Informatik Spektrum
status: public
title: From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and
alternative directions
type: journal_article
user_id: '49109'
volume: 38
year: '2015'
...
---
_id: '10323'
author:
- first_name: S.
full_name: Garcia-Jimenez, S.
last_name: Garcia-Jimenez
- first_name: U.
full_name: Bustince, U.
last_name: Bustince
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Mesiar, R.
last_name: Mesiar
- first_name: N.R.
full_name: Pal, N.R.
last_name: Pal
- first_name: A.
full_name: Pradera, A.
last_name: Pradera
citation:
ama: 'Garcia-Jimenez S, Bustince U, Hüllermeier E, Mesiar R, Pal NR, Pradera A.
Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.
IEEE Transactions on Fuzzy Systems. 2015;23(4):1259-1273.'
apa: 'Garcia-Jimenez, S., Bustince, U., Hüllermeier, E., Mesiar, R., Pal, N. R.,
& Pradera, A. (2015). Overlap Indices: Construction of and Application of
Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 23(4),
1259–1273.'
bibtex: '@article{Garcia-Jimenez_Bustince_Hüllermeier_Mesiar_Pal_Pradera_2015, title={Overlap
Indices: Construction of and Application of Interpolative Fuzzy Systems}, volume={23},
number={4}, journal={IEEE Transactions on Fuzzy Systems}, author={Garcia-Jimenez,
S. and Bustince, U. and Hüllermeier, Eyke and Mesiar, R. and Pal, N.R. and Pradera,
A.}, year={2015}, pages={1259–1273} }'
chicago: 'Garcia-Jimenez, S., U. Bustince, Eyke Hüllermeier, R. Mesiar, N.R. Pal,
and A. Pradera. “Overlap Indices: Construction of and Application of Interpolative
Fuzzy Systems.” IEEE Transactions on Fuzzy Systems 23, no. 4 (2015): 1259–73.'
ieee: 'S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N. R. Pal, and
A. Pradera, “Overlap Indices: Construction of and Application of Interpolative
Fuzzy Systems,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, pp.
1259–1273, 2015.'
mla: 'Garcia-Jimenez, S., et al. “Overlap Indices: Construction of and Application
of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems, vol.
23, no. 4, 2015, pp. 1259–73.'
short: S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N.R. Pal, A. Pradera,
IEEE Transactions on Fuzzy Systems 23 (2015) 1259–1273.
date_created: 2019-06-26T13:17:46Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 23'
issue: '4'
language:
- iso: eng
page: 1259-1273
publication: IEEE Transactions on Fuzzy Systems
status: public
title: 'Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems'
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '10324'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning of Classification.
IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
apa: Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning of
Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
bibtex: '@article{Senge_Hüllermeier_2015, title={Fast Fuzzy Pattern Tree Learning
of Classification}, volume={23}, number={6}, journal={IEEE Transactions on Fuzzy
Systems}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033}
}'
chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning
of Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015):
2024–33.'
ieee: R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning of Classification,”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, 2015, pp. 2024–33.
short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
date_created: 2019-06-26T13:20:43Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 23'
issue: '6'
language:
- iso: eng
page: 2024-2033
publication: IEEE Transactions on Fuzzy Systems
status: public
title: Fast Fuzzy Pattern Tree Learning of Classification
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '24155'
author:
- first_name: Manu
full_name: Basavaraju, Manu
last_name: Basavaraju
- first_name: L Sunil
full_name: Chandran, L Sunil
last_name: Chandran
- first_name: Deepak
full_name: Rajendraprasad, Deepak
last_name: Rajendraprasad
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
citation:
ama: Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection
number of graph power and graph products. Graphs and Combinatorics. 2014;30(6):1363-1382.
apa: Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014).
Rainbow connection number of graph power and graph products. Graphs and Combinatorics,
30(6), 1363–1382.
bibtex: '@article{Basavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title={Rainbow
connection number of graph power and graph products}, volume={30}, number={6},
journal={Graphs and Combinatorics}, publisher={Springer}, author={Basavaraju,
Manu and Chandran, L Sunil and Rajendraprasad, Deepak and Ramaswamy, Arunselvan},
year={2014}, pages={1363–1382} }'
chicago: 'Basavaraju, Manu, L Sunil Chandran, Deepak Rajendraprasad, and Arunselvan
Ramaswamy. “Rainbow Connection Number of Graph Power and Graph Products.” Graphs
and Combinatorics 30, no. 6 (2014): 1363–82.'
ieee: M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow
connection number of graph power and graph products,” Graphs and Combinatorics,
vol. 30, no. 6, pp. 1363–1382, 2014.
mla: Basavaraju, Manu, et al. “Rainbow Connection Number of Graph Power and Graph
Products.” Graphs and Combinatorics, vol. 30, no. 6, Springer, 2014, pp.
1363–82.
short: M. Basavaraju, L.S. Chandran, D. Rajendraprasad, A. Ramaswamy, Graphs and
Combinatorics 30 (2014) 1363–1382.
date_created: 2021-09-10T10:22:23Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '355'
extern: '1'
intvolume: ' 30'
issue: '6'
language:
- iso: eng
page: 1363-1382
publication: Graphs and Combinatorics
publisher: Springer
status: public
title: Rainbow connection number of graph power and graph products
type: journal_article
user_id: '66937'
volume: 30
year: '2014'
...
---
_id: '24156'
author:
- first_name: Manu
full_name: Basavaraju, Manu
last_name: Basavaraju
- first_name: L Sunil
full_name: Chandran, L Sunil
last_name: Chandran
- first_name: Deepak
full_name: Rajendraprasad, Deepak
last_name: Rajendraprasad
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
citation:
ama: Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection
number and radius. Graphs and Combinatorics. 2014;30(2):275-285.
apa: Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014).
Rainbow connection number and radius. Graphs and Combinatorics, 30(2),
275–285.
bibtex: '@article{Basavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title={Rainbow
connection number and radius}, volume={30}, number={2}, journal={Graphs and Combinatorics},
publisher={Springer}, author={Basavaraju, Manu and Chandran, L Sunil and Rajendraprasad,
Deepak and Ramaswamy, Arunselvan}, year={2014}, pages={275–285} }'
chicago: 'Basavaraju, Manu, L Sunil Chandran, Deepak Rajendraprasad, and Arunselvan
Ramaswamy. “Rainbow Connection Number and Radius.” Graphs and Combinatorics
30, no. 2 (2014): 275–85.'
ieee: M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow
connection number and radius,” Graphs and Combinatorics, vol. 30, no. 2,
pp. 275–285, 2014.
mla: Basavaraju, Manu, et al. “Rainbow Connection Number and Radius.” Graphs
and Combinatorics, vol. 30, no. 2, Springer, 2014, pp. 275–85.
short: M. Basavaraju, L.S. Chandran, D. Rajendraprasad, A. Ramaswamy, Graphs and
Combinatorics 30 (2014) 275–285.
date_created: 2021-09-10T10:23:07Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '355'
extern: '1'
intvolume: ' 30'
issue: '2'
language:
- iso: eng
page: 275-285
publication: Graphs and Combinatorics
publisher: Springer
status: public
title: Rainbow connection number and radius
type: journal_article
user_id: '66937'
volume: 30
year: '2014'
...
---
_id: '353'
abstract:
- lang: eng
text: 'There are many technologies for the automation of processesthat deal with
services; examples are service discovery and composition.Automation of these processes
requires that the services are described semantically. However, semantically described
services are currently not oronly rarely available, which limits the applicability
of discovery and composition approaches. The systematic support for creating new
semanticservices usable by automated technologies is an open problem.We tackle
this problem with a template based approach: Domain independent templates are
instantiated with domain specific services andboolean expressions. The obtained
services have semantic descriptionswhose correctness directly follows from the
correctness of the template.Besides the theory, we present experimental results
for a service repository in which 85% of the services were generated automatically.'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Sven
full_name: Walther, Sven
last_name: Walther
citation:
ama: 'Mohr F, Walther S. Template-based Generation of Semantic Services. In: Proceedings
of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2014:188-203.
doi:10.1007/978-3-319-14130-5_14'
apa: Mohr, F., & Walther, S. (2014). Template-based Generation of Semantic Services.
In Proceedings of the 14th International Conference on Software Reuse (ICSR)
(pp. 188–203). https://doi.org/10.1007/978-3-319-14130-5_14
bibtex: '@inproceedings{Mohr_Walther_2014, series={LNCS}, title={Template-based
Generation of Semantic Services}, DOI={10.1007/978-3-319-14130-5_14},
booktitle={Proceedings of the 14th International Conference on Software Reuse
(ICSR)}, author={Mohr, Felix and Walther, Sven}, year={2014}, pages={188–203},
collection={LNCS} }'
chicago: Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.”
In Proceedings of the 14th International Conference on Software Reuse (ICSR),
188–203. LNCS, 2014. https://doi.org/10.1007/978-3-319-14130-5_14.
ieee: F. Mohr and S. Walther, “Template-based Generation of Semantic Services,”
in Proceedings of the 14th International Conference on Software Reuse (ICSR),
2014, pp. 188–203.
mla: Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.”
Proceedings of the 14th International Conference on Software Reuse (ICSR),
2014, pp. 188–203, doi:10.1007/978-3-319-14130-5_14.
short: 'F. Mohr, S. Walther, in: Proceedings of the 14th International Conference
on Software Reuse (ICSR), 2014, pp. 188–203.'
date_created: 2017-10-17T12:42:00Z
date_updated: 2022-01-06T06:59:22Z
ddc:
- '040'
department:
- _id: '77'
- _id: '355'
doi: 10.1007/978-3-319-14130-5_14
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:23:32Z
date_updated: 2018-03-20T07:23:32Z
file_id: '1414'
file_name: 353-icsr2015_submission_17.pdf
file_size: 431778
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:23:32Z
has_accepted_license: '1'
language:
- iso: eng
page: 188-203
project:
- _id: '1'
name: SFB 901
- _id: '11'
name: SFB 901 - Subprojekt B3
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication: Proceedings of the 14th International Conference on Software Reuse (ICSR)
series_title: LNCS
status: public
title: Template-based Generation of Semantic Services
type: conference
user_id: '477'
year: '2014'
...
---
_id: '447'
abstract:
- lang: eng
text: Automatic service composition is still a challengingtask. It is even more
challenging when dealing witha dynamic market of services for end users. New servicesmay
enter the market while other services are completelyremoved. Furthermore, end
users are typically no experts in thedomain in which they formulate a request.
As a consequence,ambiguous user requests will inevitably emerge and have tobe
taken into account. To meet these challenges, we proposea new approach that combines
automatic service compositionwith adaptive service recommendation. A best first
backwardsearch algorithm produces solutions that are functional correctwith respect
to user requests. An adaptive recommendationsystem supports the search algorithm
in decision-making.Reinforcement Learning techniques enable the system to adjustits
recommendation strategy over time based on user ratings.The integrated approach
is described on a conceptional leveland demonstrated by means of an illustrative
example fromthe image processing domain.
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. Combining Automatic Service Composition
with Adaptive Service Recommendation for Dynamic Markets of Services. In: Proceedings
of the 10th World Congress on Services (SERVICES). ; 2014:346-353. doi:10.1109/SERVICES.2014.68'
apa: Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Combining Automatic Service
Composition with Adaptive Service Recommendation for Dynamic Markets of Services.
In Proceedings of the 10th World Congress on Services (SERVICES) (pp. 346–353).
https://doi.org/10.1109/SERVICES.2014.68
bibtex: '@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Combining Automatic
Service Composition with Adaptive Service Recommendation for Dynamic Markets of
Services}, DOI={10.1109/SERVICES.2014.68},
booktitle={Proceedings of the 10th World Congress on Services (SERVICES)}, author={Jungmann,
Alexander and Mohr, Felix and Kleinjohann, Bernd}, year={2014}, pages={346–353}
}'
chicago: Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Combining Automatic
Service Composition with Adaptive Service Recommendation for Dynamic Markets of
Services.” In Proceedings of the 10th World Congress on Services (SERVICES),
346–53, 2014. https://doi.org/10.1109/SERVICES.2014.68.
ieee: A. Jungmann, F. Mohr, and B. Kleinjohann, “Combining Automatic Service Composition
with Adaptive Service Recommendation for Dynamic Markets of Services,” in Proceedings
of the 10th World Congress on Services (SERVICES), 2014, pp. 346–353.
mla: Jungmann, Alexander, et al. “Combining Automatic Service Composition with Adaptive
Service Recommendation for Dynamic Markets of Services.” Proceedings of the
10th World Congress on Services (SERVICES), 2014, pp. 346–53, doi:10.1109/SERVICES.2014.68.
short: 'A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 10th World
Congress on Services (SERVICES), 2014, pp. 346–353.'
date_created: 2017-10-17T12:42:19Z
date_updated: 2022-01-06T07:01:06Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SERVICES.2014.68
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:26:36Z
date_updated: 2018-03-16T11:26:36Z
file_id: '1347'
file_name: 447-_FINAL__Combining_Automatic_Service_Composition_with_Adaptive_Service_Recommendation_for_Dynamic_Markets_of_Services.pdf
file_size: 429462
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:26:36Z
has_accepted_license: '1'
language:
- iso: eng
page: 346-353
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 10th World Congress on Services (SERVICES)
status: public
title: Combining Automatic Service Composition with Adaptive Service Recommendation
for Dynamic Markets of Services
type: conference
user_id: '477'
year: '2014'
...
---
_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'
...