---
_id: '10296'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal
events in dynamically changing environments. Applied Mathematics and Computer
Science. 2014;24(1):199-212.'
apa: 'Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments. Applied Mathematics
and Computer Science, 24(1), 199–212.'
bibtex: '@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments}, volume={24},
number={1}, journal={Applied Mathematics and Computer Science}, author={Shaker,
Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212} }'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams:
Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics
and Computer Science 24, no. 1 (2014): 199–212.'
ieee: 'A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing
temporal events in dynamically changing environments,” Applied Mathematics
and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing
Temporal Events in Dynamically Changing Environments.” Applied Mathematics
and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.'
short: A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014)
199–212.
date_created: 2019-06-25T12:33:49Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 24'
issue: '1'
language:
- iso: eng
page: 199-212
publication: Applied Mathematics and Computer Science
status: public
title: 'Survival analysis on data streams: Analyzing temporal events in dynamically
changing environments'
type: journal_article
user_id: '49109'
volume: 24
year: '2014'
...
---
_id: '10297'
author:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: A.
full_name: Kroll, A.
last_name: Kroll
citation:
ama: Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses
5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686.
apa: Hoffmann, F., Hüllermeier, E., & Kroll, A. (2014). Ausgewählte Beiträge
des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik,
62(10), 685–686.
bibtex: '@article{Hoffmann_Hüllermeier_Kroll_2014, title={Ausgewählte Beiträge des
GMA-Fachausschusses 5.14}, volume={62}, number={10}, journal={Computational Intelligence
Automatisierungstechnik}, author={Hoffmann, F. and Hüllermeier, Eyke and Kroll,
A.}, year={2014}, pages={685–686} }'
chicago: 'Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des
GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik
62, no. 10 (2014): 685–86.'
ieee: F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses
5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no.
10, pp. 685–686, 2014.
mla: Hoffmann, F., et al. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational
Intelligence Automatisierungstechnik, vol. 62, no. 10, 2014, pp. 685–86.
short: F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik
62 (2014) 685–686.
date_created: 2019-06-25T12:36:56Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 62'
issue: '10'
language:
- iso: eng
page: 685-686
publication: Computational Intelligence Automatisierungstechnik
status: public
title: Ausgewählte Beiträge des GMA-Fachausschusses 5.14
type: journal_article
user_id: '49109'
volume: 62
year: '2014'
...
---
_id: '10298'
author:
- first_name: T.
full_name: Calders, T.
last_name: Calders
- first_name: F.
full_name: Esposito, F.
last_name: Esposito
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Meo, R.
last_name: Meo
citation:
ama: Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery.
2014;28(5-6):1129-1133.
apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Data Min. Knowledge Discovery,
28(5–6), 1129–1133.
bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track}, volume={28}, number={5–6}, journal={Data
Min. Knowledge Discovery}, author={Calders, T. and Esposito, F. and Hüllermeier,
Eyke and Meo, R.}, year={2014}, pages={1129–1133} }'
chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special
Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery
28, no. 5–6 (2014): 1129–33.'
ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery,
vol. 28, no. 5–6, pp. 1129–1133, 2014.
mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD
2014 Journal Track.” Data Min. Knowledge Discovery, vol. 28, no. 5–6, 2014,
pp. 1129–33.
short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery
28 (2014) 1129–1133.
date_created: 2019-06-25T12:42:48Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 28'
issue: 5-6
language:
- iso: eng
page: 1129-1133
publication: Data Min. Knowledge Discovery
status: public
title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
type: journal_article
user_id: '49109'
volume: 28
year: '2014'
...
---
_id: '10299'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy rule-based
systems. Evolving Systems. 2014;5(3):175-191.
apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of
evolving fuzzy rule-based systems. Evolving Systems, 5(3), 175–191.
bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving
fuzzy rule-based systems}, volume={5}, number={3}, journal={Evolving Systems},
author={Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014},
pages={175–191} }'
chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of
Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.'
ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy
rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014.
mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy Rule-Based Systems.”
Evolving Systems, vol. 5, no. 3, 2014, pp. 175–91.
short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
date_created: 2019-06-25T12:52:26Z
date_updated: 2022-01-06T06:50:35Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 5'
issue: '3'
language:
- iso: eng
page: 175-191
publication: Evolving Systems
status: public
title: Visualization of evolving fuzzy rule-based systems
type: journal_article
user_id: '49109'
volume: 5
year: '2014'
...
---
_id: '10308'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.'
apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data
disambiguation through generalized loss minimization. Int. J. Approx. Reasoning,
55(7), 1519–1534.'
bibtex: '@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization}, volume={55}, number={7},
journal={Int. J. Approx. Reasoning}, author={Hüllermeier, Eyke}, year={2014},
pages={1519–1534} }'
chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data
Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning
55, no. 7 (2014): 1519–34.'
ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization,” Int. J. Approx. Reasoning, vol.
55, no. 7, pp. 1519–1534, 2014.'
mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation
through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol.
55, no. 7, 2014, pp. 1519–34.'
short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534.
date_created: 2019-06-26T11:08:58Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 55'
issue: '7'
language:
- iso: eng
page: 1519-1534
publication: Int. J. Approx. Reasoning
status: public
title: 'Learning from imprecise and fuzzy observations: Data disambiguation through
generalized loss minimization'
type: journal_article
user_id: '49109'
volume: 55
year: '2014'
...
---
_id: '10309'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization. Int J Approx Reasoning.
2014;55(7):1609-1613.'
apa: 'Hüllermeier, E. (2014). Rejoinder on "Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization. Int. J. Approx.
Reasoning, 55(7), 1609–1613.'
bibtex: '@article{Hüllermeier_2014, title={Rejoinder on "Learning from imprecise
and fuzzy observations: Data disambiguation through generalized loss minimization},
volume={55}, number={7}, journal={Int. J. Approx. Reasoning}, author={Hüllermeier,
Eyke}, year={2014}, pages={1609–1613} }'
chicago: 'Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations:
Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx.
Reasoning 55, no. 7 (2014): 1609–13.'
ieee: 'E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization,” Int. J. Approx.
Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.'
mla: 'Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations:
Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx.
Reasoning, vol. 55, no. 7, 2014, pp. 1609–13.'
short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613.
date_created: 2019-06-26T11:12:38Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 55'
issue: '7'
language:
- iso: eng
page: 1609-1613
publication: Int. J. Approx. Reasoning
status: public
title: 'Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization'
type: journal_article
user_id: '49109'
volume: 55
year: '2014'
...
---
_id: '10310'
author:
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: K.
full_name: Bunte, K.
last_name: Bunte
- first_name: F.- M.
full_name: Schleif, F.- M.
last_name: Schleif
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Strickert M, Bunte K, Schleif F-M, Hüllermeier E. Correlation-based embedding
of pairwise score data. Neurocomputing. 2014;141:97-109.
apa: Strickert, M., Bunte, K., Schleif, F.-M., & Hüllermeier, E. (2014). Correlation-based
embedding of pairwise score data. Neurocomputing, 141, 97–109.
bibtex: '@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based
embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert,
M. and Bunte, K. and Schleif, F.- M. and Hüllermeier, Eyke}, year={2014}, pages={97–109}
}'
chicago: 'Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based
Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.'
ieee: M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based
embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109,
2014.
mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.”
Neurocomputing, vol. 141, 2014, pp. 97–109.
short: M. Strickert, K. Bunte, F.-M. Schleif, E. Hüllermeier, Neurocomputing 141
(2014) 97–109.
date_created: 2019-06-26T11:18:40Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 141'
language:
- iso: eng
page: 97-109
publication: Neurocomputing
status: public
title: Correlation-based embedding of pairwise score data
type: journal_article
user_id: '49109'
volume: 141
year: '2014'
...
---
_id: '10311'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: S.
full_name: Bösner, S.
last_name: Bösner
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: J.
full_name: Haasenritter, J.
last_name: Haasenritter
- first_name: O.
full_name: Hirsch, O.
last_name: Hirsch
- first_name: N.
full_name: Donner-Banzhoff, N.
last_name: Donner-Banzhoff
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning
classifiers that distinguish aleatoric and epistemic uncertainty. Information
Sciences. 2014;255:16-29.'
apa: 'Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff,
N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers
that distinguish aleatoric and epistemic uncertainty. Information Sciences,
255, 16–29.'
bibtex: '@article{Senge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014,
title={Reliable classification: Learning classifiers that distinguish aleatoric
and epistemic uncertainty}, volume={255}, journal={Information Sciences}, author={Senge,
Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and
Donner-Banzhoff, N. and Hüllermeier, Eyke}, year={2014}, pages={16–29} }'
chicago: 'Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N.
Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers
That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences
255 (2014): 16–29.'
ieee: 'R. Senge et al., “Reliable classification: Learning classifiers that
distinguish aleatoric and epistemic uncertainty,” Information Sciences,
vol. 255, pp. 16–29, 2014.'
mla: 'Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish
Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014,
pp. 16–29.'
short: R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff,
E. Hüllermeier, Information Sciences 255 (2014) 16–29.
date_created: 2019-06-26T11:23:25Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 255'
language:
- iso: eng
page: 16-29
publication: Information Sciences
status: public
title: 'Reliable classification: Learning classifiers that distinguish aleatoric and
epistemic uncertainty'
type: journal_article
user_id: '49109'
volume: 255
year: '2014'
...
---
_id: '10312'
author:
- first_name: M.
full_name: Mernberger, M.
last_name: Mernberger
- first_name: M.
full_name: Moog, M.
last_name: Moog
- first_name: S.
full_name: Stork, S.
last_name: Stork
- first_name: S.
full_name: Zauner, S.
last_name: Zauner
- first_name: U.G.
full_name: Maier, U.G.
last_name: Maier
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular
Localization Prediction for Special compartments via Optimized Time Series Distances.
J Bioinformatics and Computational Biology. 2014;12(1).
apa: Mernberger, M., Moog, M., Stork, S., Zauner, S., Maier, U. G., & Hüllermeier,
E. (2014). Protein Sub-Cellular Localization Prediction for Special compartments
via Optimized Time Series Distances. J. Bioinformatics and Computational Biology,
12(1).
bibtex: '@article{Mernberger_Moog_Stork_Zauner_Maier_Hüllermeier_2014, title={Protein
Sub-Cellular Localization Prediction for Special compartments via Optimized Time
Series Distances}, volume={12}, number={1}, journal={J. Bioinformatics and Computational
Biology}, author={Mernberger, M. and Moog, M. and Stork, S. and Zauner, S. and
Maier, U.G. and Hüllermeier, Eyke}, year={2014} }'
chicago: Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier.
“Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized
Time Series Distances.” J. Bioinformatics and Computational Biology 12,
no. 1 (2014).
ieee: M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier,
“Protein Sub-Cellular Localization Prediction for Special compartments via Optimized
Time Series Distances,” J. Bioinformatics and Computational Biology, vol.
12, no. 1, 2014.
mla: Mernberger, M., et al. “Protein Sub-Cellular Localization Prediction for Special
Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational
Biology, vol. 12, no. 1, 2014.
short: M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier,
J. Bioinformatics and Computational Biology 12 (2014).
date_created: 2019-06-26T11:27:51Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 12'
issue: '1'
language:
- iso: eng
publication: J. Bioinformatics and Computational Biology
status: public
title: Protein Sub-Cellular Localization Prediction for Special compartments via Optimized
Time Series Distances
type: journal_article
user_id: '49109'
volume: 12
year: '2014'
...
---
_id: '10313'
author:
- first_name: T.
full_name: Calders, T.
last_name: Calders
- first_name: F.
full_name: Esposito, F.
last_name: Esposito
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Meo, R.
last_name: Meo
citation:
ama: Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3.
apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track. Machine Learning, 97(1–2),
1–3.
bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track}, volume={97}, number={1–2}, journal={Machine
Learning}, author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo,
R.}, year={2014}, pages={1–3} }'
chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special
Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2
(2014): 1–3.'
ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special
issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97,
no. 1–2, pp. 1–3, 2014.
mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD
2014 Journal Track.” Machine Learning, vol. 97, no. 1–2, 2014, pp. 1–3.
short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014)
1–3.
date_created: 2019-06-26T11:30:38Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 97'
issue: 1-2
language:
- iso: eng
page: 1-3
publication: Machine Learning
status: public
title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track
type: journal_article
user_id: '49109'
volume: 97
year: '2014'
...
---
_id: '10314'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörényi, B.
last_name: Szörényi
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E. Preference-Based
Reinforcement Learning: evolutionary direct policy search using a preference-based
racing algorithm. Machine Learning. 2014;97(3):327-351.'
apa: 'Busa-Fekete, R., Szörényi, B., Weng, P., Cheng, W., & Hüllermeier, E.
(2014). Preference-Based Reinforcement Learning: evolutionary direct policy search
using a preference-based racing algorithm. Machine Learning, 97(3),
327–351.'
bibtex: '@article{Busa-Fekete_Szörényi_Weng_Cheng_Hüllermeier_2014, title={Preference-Based
Reinforcement Learning: evolutionary direct policy search using a preference-based
racing algorithm}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete,
Robert and Szörényi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014},
pages={327–351} }'
chicago: 'Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier.
“Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using
a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014):
327–51.'
ieee: 'R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-Based
Reinforcement Learning: evolutionary direct policy search using a preference-based
racing algorithm,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.'
mla: 'Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary
Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning,
vol. 97, no. 3, 2014, pp. 327–51.'
short: R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning
97 (2014) 327–351.
date_created: 2019-06-26T11:34:55Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 97'
issue: '3'
language:
- iso: eng
page: 327-351
publication: Machine Learning
status: public
title: 'Preference-Based Reinforcement Learning: evolutionary direct policy search
using a preference-based racing algorithm'
type: journal_article
user_id: '49109'
volume: 97
year: '2014'
...
---
_id: '10315'
author:
- first_name: E.
full_name: Montanés, E.
last_name: Montanés
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: J.
full_name: Barranquero, J.
last_name: Barranquero
- first_name: J.R.
full_name: Quevedo, J.R.
last_name: Quevedo
- first_name: J.J.
full_name: Del Coz, J.J.
last_name: Del Coz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E.
Dependent binary relevance models for multi-label classification. Pattern Recognition.
2014;47(3):1494-1508.
apa: Montanés, E., Senge, R., Barranquero, J., Quevedo, J. R., Del Coz, J. J., &
Hüllermeier, E. (2014). Dependent binary relevance models for multi-label classification.
Pattern Recognition, 47(3), 1494–1508.
bibtex: '@article{Montanés_Senge_Barranquero_Quevedo_Del Coz_Hüllermeier_2014, title={Dependent
binary relevance models for multi-label classification}, volume={47}, number={3},
journal={Pattern Recognition}, author={Montanés, E. and Senge, Robin and Barranquero,
J. and Quevedo, J.R. and Del Coz, J.J. and Hüllermeier, Eyke}, year={2014}, pages={1494–1508}
}'
chicago: 'Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz,
and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.”
Pattern Recognition 47, no. 3 (2014): 1494–1508.'
ieee: E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E.
Hüllermeier, “Dependent binary relevance models for multi-label classification,”
Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014.
mla: Montanés, E., et al. “Dependent Binary Relevance Models for Multi-Label Classification.”
Pattern Recognition, vol. 47, no. 3, 2014, pp. 1494–508.
short: E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier,
Pattern Recognition 47 (2014) 1494–1508.
date_created: 2019-06-26T11:40:07Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 47'
issue: '3'
language:
- iso: eng
page: 1494-1508
publication: Pattern Recognition
status: public
title: Dependent binary relevance models for multi-label classification
type: journal_article
user_id: '49109'
volume: 47
year: '2014'
...
---
_id: '10316'
author:
- first_name: G.
full_name: Krempl, G.
last_name: Krempl
- first_name: I.
full_name: Zliobaite, I.
last_name: Zliobaite
- first_name: D.
full_name: Brzezinski, D.
last_name: Brzezinski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Last, M.
last_name: Last
- first_name: V.
full_name: Lemaire, V.
last_name: Lemaire
- first_name: T.
full_name: Noack, T.
last_name: Noack
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: S.
full_name: Sievi, S.
last_name: Sievi
- first_name: M.
full_name: Spiliopoulou, M.
last_name: Spiliopoulou
- first_name: J.
full_name: Stefanowski, J.
last_name: Stefanowski
citation:
ama: Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream
mining research. SIGKDD Explorations. 2014;16(1):1-10.
apa: Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire,
V., … Stefanowski, J. (2014). Open challenges for data stream mining research.
SIGKDD Explorations, 16(1), 1–10.
bibtex: '@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et
al._2014, title={Open challenges for data stream mining research}, volume={16},
number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I.
and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack,
T. and Shaker, Ammar and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014},
pages={1–10} }'
chicago: 'Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V.
Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations 16, no. 1 (2014): 1–10.'
ieee: G. Krempl et al., “Open challenges for data stream mining research,”
SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations, vol. 16, no. 1, 2014, pp. 1–10.
short: G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire,
T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations
16 (2014) 1–10.
date_created: 2019-06-26T11:59:15Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 16'
issue: '1'
language:
- iso: eng
page: 1-10
publication: SIGKDD Explorations
status: public
title: Open challenges for data stream mining research
type: journal_article
user_id: '49109'
volume: 16
year: '2014'
...
---
_id: '10317'
author:
- first_name: T.
full_name: Krotzky, T.
last_name: Krotzky
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
citation:
ama: Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for
Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform.
2014;11(5):878-890.
apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans. Comput. Biology
Bioinform., 11(5), 878–890.
bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase}, volume={11}, number={5}, journal={IEEE/ACM
Trans. Comput. Biology Bioinform.}, author={Krotzky, T. and Fober, T. and Hüllermeier,
Eyke and Klebe, G.}, year={2014}, pages={878–890} }'
chicago: 'Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput.
Biology Bioinform. 11, no. 5 (2014): 878–90.'
ieee: T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended Graph-Based
Models for Enhanced Similarity Search in Cavbase,” IEEE/ACM Trans. Comput.
Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014.
mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search
in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5,
2014, pp. 878–90.
short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology
Bioinform. 11 (2014) 878–890.
date_created: 2019-06-26T12:04:48Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 11'
issue: '5'
language:
- iso: eng
page: 878-890
publication: IEEE/ACM Trans. Comput. Biology Bioinform.
status: public
title: Extended Graph-Based Models for Enhanced Similarity Search in Cavbase
type: journal_article
user_id: '49109'
volume: 11
year: '2014'
...
---
_id: '10318'
author:
- first_name: M.
full_name: Stock, M.
last_name: Stock
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: S,
full_name: Glinca, S,
last_name: Glinca
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
- first_name: T.
full_name: Pahikkala, T.
last_name: Pahikkala
- first_name: A.
full_name: Airola, A.
last_name: Airola
- first_name: B.
full_name: De Baets, B.
last_name: De Baets
- first_name: W.
full_name: Wageman, W.
last_name: Wageman
citation:
ama: Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated
Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform.
2014;11(6):1157-1169.
apa: Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T.,
… Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning
to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6),
1157–1169.
bibtex: '@article{Stock_Fober_Hüllermeier_Glinca_Klebe_Pahikkala_Airola_De Baets_Wageman_2014,
title={Identification of Functionally Releated Enzymes by Learning to Rank Methods},
volume={11}, number={6}, journal={IEEE/ACM Trans. Comput. Biology Bioinform.},
author={Stock, M. and Fober, T. and Hüllermeier, Eyke and Glinca, S and Klebe,
G. and Pahikkala, T. and Airola, A. and De Baets, B. and Wageman, W.}, year={2014},
pages={1157–1169} }'
chicago: 'Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala,
A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated
Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform.
11, no. 6 (2014): 1157–69.'
ieee: M. Stock et al., “Identification of Functionally Releated Enzymes by
Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform.,
vol. 11, no. 6, pp. 1157–1169, 2014.
mla: Stock, M., et al. “Identification of Functionally Releated Enzymes by Learning
to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11,
no. 6, 2014, pp. 1157–69.
short: M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A.
Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11
(2014) 1157–1169.
date_created: 2019-06-26T12:11:13Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 11'
issue: '6'
language:
- iso: eng
page: 1157-1169
publication: IEEE/ACM Trans. Comput. Biology Bioinform.
status: public
title: Identification of Functionally Releated Enzymes by Learning to Rank Methods
type: journal_article
user_id: '49109'
volume: 11
year: '2014'
...
---
_id: '485'
abstract:
- lang: eng
text: Software composition has been studied as a subject of state based planning
for decades. Existing composition approaches that are efficient enough to be used
in practice are limited to sequential arrangements of software components. This
restriction dramatically reduces the number of composition problems that can be
solved. However, there are many composition problems that could be solved by existing
approaches if they had a possibility to combine components in very simple non-sequential
ways. To this end, we present an approach that arranges not only basic components
but also composite components. Composite components enhance the structure of the
composition by conditional control flows. Through algorithms that are written
by experts, composite components are automatically generated before the composition
process starts. Therefore, our approach is not a substitute for existing composition
algorithms but complements them with a preprocessing step. We verified the validity
of our approach through implementation of the presented algorithms.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
citation:
ama: 'Mohr F, Kleine Büning H. Semi-Automated Software Composition Through Generated
Components. In: Proceedings of the 15th International Conference on Information
Integration and Web-Based Applications & Services (IiWAS). ; 2013:676-680.
doi:10.1145/2539150.2539235'
apa: Mohr, F., & Kleine Büning, H. (2013). Semi-Automated Software Composition
Through Generated Components. In Proceedings of the 15th International Conference
on Information Integration and Web-based Applications & Services (iiWAS)
(pp. 676–680). https://doi.org/10.1145/2539150.2539235
bibtex: '@inproceedings{Mohr_Kleine Büning_2013, title={Semi-Automated Software
Composition Through Generated Components}, DOI={10.1145/2539150.2539235},
booktitle={Proceedings of the 15th International Conference on Information Integration
and Web-based Applications & Services (iiWAS)}, author={Mohr, Felix and Kleine
Büning, Hans}, year={2013}, pages={676–680} }'
chicago: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition
Through Generated Components.” In Proceedings of the 15th International Conference
on Information Integration and Web-Based Applications & Services (IiWAS),
676–80, 2013. https://doi.org/10.1145/2539150.2539235.
ieee: F. Mohr and H. Kleine Büning, “Semi-Automated Software Composition Through
Generated Components,” in Proceedings of the 15th International Conference
on Information Integration and Web-based Applications & Services (iiWAS),
2013, pp. 676–680.
mla: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition Through
Generated Components.” Proceedings of the 15th International Conference on
Information Integration and Web-Based Applications & Services (IiWAS),
2013, pp. 676–80, doi:10.1145/2539150.2539235.
short: 'F. Mohr, H. Kleine Büning, in: Proceedings of the 15th International Conference
on Information Integration and Web-Based Applications & Services (IiWAS),
2013, pp. 676–680.'
date_created: 2017-10-17T12:42:26Z
date_updated: 2022-01-06T07:01:27Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1145/2539150.2539235
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-15T13:56:49Z
date_updated: 2018-03-15T13:56:49Z
file_id: '1318'
file_name: 485-paper86_mohr.pdf
file_size: 368152
relation: main_file
success: 1
file_date_updated: 2018-03-15T13:56:49Z
has_accepted_license: '1'
language:
- iso: eng
page: 676-680
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 15th International Conference on Information Integration
and Web-based Applications & Services (iiWAS)
status: public
title: Semi-Automated Software Composition Through Generated Components
type: conference
user_id: '477'
year: '2013'
...
---
_id: '495'
abstract:
- lang: eng
text: Automated service composition has been studied as a subject of state based
planning for a decade. A great deal of service composition tasks can only be solved
if concrete output values of the services are considered in the composition process.
However, the fact that those values are not known before runtime leads to nondeterministic
planning problems, which have proven to be notoriously difficult in practical
automated service composition applications. Even though this problem is frequently
recognized, it has still received remarkably few attention and remains unsolved.This
paper shows how nondeterminism in automated service composition can be reduced.
We introduce context rules as a means to derive semantic knowledge from output
values of services. These rules enable us to replace nondeterministic composition
operations by less nondeterministic or even completely deterministic ones. We
show the validity of our solutions not only theoretically but also have evaluated
them practically through implementation.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Theodor
full_name: Lettmann, Theodor
id: '315'
last_name: Lettmann
orcid: 0000-0001-5859-2457
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
citation:
ama: 'Mohr F, Lettmann T, Kleine Büning H. Reducing Nondeterminism in Automated
Service Composition. In: Proceedings of the 6th International Conference on
Service Oriented Computing and Applications (SOCA). ; 2013:154-161. doi:10.1109/SOCA.2013.25'
apa: Mohr, F., Lettmann, T., & Kleine Büning, H. (2013). Reducing Nondeterminism
in Automated Service Composition. In Proceedings of the 6th International Conference
on Service Oriented Computing and Applications (SOCA) (pp. 154–161). https://doi.org/10.1109/SOCA.2013.25
bibtex: '@inproceedings{Mohr_Lettmann_Kleine Büning_2013, title={Reducing Nondeterminism
in Automated Service Composition}, DOI={10.1109/SOCA.2013.25},
booktitle={Proceedings of the 6th International Conference on Service Oriented
Computing and Applications (SOCA)}, author={Mohr, Felix and Lettmann, Theodor
and Kleine Büning, Hans}, year={2013}, pages={154–161} }'
chicago: Mohr, Felix, Theodor Lettmann, and Hans Kleine Büning. “Reducing Nondeterminism
in Automated Service Composition.” In Proceedings of the 6th International
Conference on Service Oriented Computing and Applications (SOCA), 154–61,
2013. https://doi.org/10.1109/SOCA.2013.25.
ieee: F. Mohr, T. Lettmann, and H. Kleine Büning, “Reducing Nondeterminism in Automated
Service Composition,” in Proceedings of the 6th International Conference on
Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.
mla: Mohr, Felix, et al. “Reducing Nondeterminism in Automated Service Composition.”
Proceedings of the 6th International Conference on Service Oriented Computing
and Applications (SOCA), 2013, pp. 154–61, doi:10.1109/SOCA.2013.25.
short: 'F. Mohr, T. Lettmann, H. Kleine Büning, in: Proceedings of the 6th International
Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.'
date_created: 2017-10-17T12:42:28Z
date_updated: 2022-01-06T07:01:30Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SOCA.2013.25
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-15T13:43:08Z
date_updated: 2018-03-15T13:43:08Z
file_id: '1314'
file_name: 495-paper52_mohr.pdf
file_size: 603822
relation: main_file
success: 1
file_date_updated: 2018-03-15T13:43:08Z
has_accepted_license: '1'
language:
- iso: eng
page: 154-161
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 6th International Conference on Service Oriented Computing
and Applications (SOCA)
status: public
title: Reducing Nondeterminism in Automated Service Composition
type: conference
user_id: '477'
year: '2013'
...
---
_id: '15752'
author:
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: S.
full_name: Henzgen, S.
last_name: Henzgen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition
in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany. ; 2013:129-136.'
apa: Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise
decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany (pp. 129–136).
bibtex: '@inproceedings{Cheng_Henzgen_Hüllermeier_2013, title={Labelwise versus
pairwise decomposition in label ranking}, booktitle={In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Cheng, W. and
Henzgen, S. and Hüllermeier, Eyke}, year={2013}, pages={129–136} }'
chicago: Cheng, W., S. Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise
Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany, 129–36, 2013.
ieee: W. Cheng, S. Henzgen, and E. Hüllermeier, “Labelwise versus pairwise decomposition
in label ranking,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany, 2013, pp. 129–136.
mla: Cheng, W., et al. “Labelwise versus Pairwise Decomposition in Label Ranking.”
In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg,
Germany, 2013, pp. 129–36.
short: 'W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.'
date_created: 2020-02-03T14:20:27Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 129-136
publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany
status: public
title: Labelwise versus pairwise decomposition in label ranking
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15753'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: J.
full_name: del Coz, J.
last_name: del Coz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label
classification, Bamberg, Germany. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany. ; 2013:151-158.'
apa: Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier
chains for multi-label classification, Bamberg, Germany. In In Proceedings
Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany
(pp. 151–158).
bibtex: '@inproceedings{Senge_del Coz_Hüllermeier_2013, title={Rectifying classifier
chains for multi-label classification, Bamberg, Germany}, booktitle={In Proceedings
Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Senge,
Robin and del Coz, J. and Hüllermeier, Eyke}, year={2013}, pages={151–158} }'
chicago: Senge, Robin, J. del Coz, and Eyke Hüllermeier. “Rectifying Classifier
Chains for Multi-Label Classification, Bamberg, Germany.” In In Proceedings
Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany,
151–58, 2013.
ieee: R. Senge, J. del Coz, and E. Hüllermeier, “Rectifying classifier chains for
multi-label classification, Bamberg, Germany,” in In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.
mla: Senge, Robin, et al. “Rectifying Classifier Chains for Multi-Label Classification,
Bamberg, Germany.” In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany, 2013, pp. 151–58.
short: 'R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009,
Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.'
date_created: 2020-02-03T14:24:09Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 151-158
publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität,
Bamberg, Germany
status: public
title: Rectifying classifier chains for multi-label classification, Bamberg, Germany
type: conference
user_id: '49109'
year: '2013'
...
---
_id: '15755'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Fober T, Hüllermeier E. Preference-based evolutionary optimization
using generalized racing algorithms. In: Hoffmann F, Hüllermeier E, eds. In
Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT
Scientific Publishing; 2013:237-246.'
apa: Busa-Fekete, R., Fober, T., & Hüllermeier, E. (2013). Preference-based
evolutionary optimization using generalized racing algorithms. In F. Hoffmann
& E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence,
Dortmund Germany (pp. 237–246). KIT Scientific Publishing.
bibtex: '@inproceedings{Busa-Fekete_Fober_Hüllermeier_2013, title={Preference-based
evolutionary optimization using generalized racing algorithms}, booktitle={in
Proceedings 23th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT
Scientific Publishing}, author={Busa-Fekete, Robert and Fober, T. and Hüllermeier,
Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors}, year={2013}, pages={237–246}
}'
chicago: Busa-Fekete, Robert, T. Fober, and Eyke Hüllermeier. “Preference-Based
Evolutionary Optimization Using Generalized Racing Algorithms.” In In Proceedings
23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann
and Eyke Hüllermeier, 237–46. KIT Scientific Publishing, 2013.
ieee: R. Busa-Fekete, T. Fober, and E. Hüllermeier, “Preference-based evolutionary
optimization using generalized racing algorithms,” in in Proceedings 23th Workshop
Computational Intelligence, Dortmund Germany, 2013, pp. 237–246.
mla: Busa-Fekete, Robert, et al. “Preference-Based Evolutionary Optimization Using
Generalized Racing Algorithms.” In Proceedings 23th Workshop Computational
Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier,
KIT Scientific Publishing, 2013, pp. 237–46.
short: 'R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier
(Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany,
KIT Scientific Publishing, 2013, pp. 237–246.'
date_created: 2020-02-03T14:31:54Z
date_updated: 2022-01-06T06:52:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
language:
- iso: eng
page: 237-246
publication: in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany
publisher: KIT Scientific Publishing
status: public
title: Preference-based evolutionary optimization using generalized racing algorithms
type: conference
user_id: '49109'
year: '2013'
...