---
_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: '14876'
author:
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
citation:
ama: 'Chen M-H, Chen W-F, Ku L-W. Technology Enhanced Emotion Expression Learning.
In: Proceedings of the Sixth Joint Foreign Language Education and Technology
Conference (FLEAT VI). ; 2015.'
apa: Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2015). Technology Enhanced Emotion
Expression Learning. Proceedings of the Sixth Joint Foreign Language Education
and Technology Conference (FLEAT VI).
bibtex: '@inproceedings{Chen_Chen_Ku_2015, title={Technology Enhanced Emotion Expression
Learning}, booktitle={Proceedings of the sixth joint Foreign Language Education
and Technology Conference (FLEAT VI)}, author={Chen, Mei-Hua and Chen, Wei-Fan
and Ku, Lun-Wei}, year={2015} }'
chicago: Chen, Mei-Hua, Wei-Fan Chen, and Lun-Wei Ku. “Technology Enhanced Emotion
Expression Learning.” In Proceedings of the Sixth Joint Foreign Language Education
and Technology Conference (FLEAT VI), 2015.
ieee: M.-H. Chen, W.-F. Chen, and L.-W. Ku, “Technology Enhanced Emotion Expression
Learning,” 2015.
mla: Chen, Mei-Hua, et al. “Technology Enhanced Emotion Expression Learning.” Proceedings
of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT
VI), 2015.
short: 'M.-H. Chen, W.-F. Chen, L.-W. Ku, in: Proceedings of the Sixth Joint Foreign
Language Education and Technology Conference (FLEAT VI), 2015.'
date_created: 2019-11-11T12:23:45Z
date_updated: 2022-11-10T09:17:00Z
department:
- _id: '600'
extern: '1'
language:
- iso: eng
publication: Proceedings of the sixth joint Foreign Language Education and Technology
Conference (FLEAT VI)
status: public
title: Technology Enhanced Emotion Expression Learning
type: conference
user_id: '82920'
year: '2015'
...
---
_id: '6719'
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Heindorf S, Potthast M, Stein B, Engels G. Towards Vandalism Detection in
Knowledge Bases. In: SIGIR. ACM; 2015:831-834. doi:10.1145/2766462.2767804'
apa: Heindorf, S., Potthast, M., Stein, B., & Engels, G. (2015). Towards Vandalism
Detection in Knowledge Bases. SIGIR, 831–834. https://doi.org/10.1145/2766462.2767804
bibtex: '@inproceedings{Heindorf_Potthast_Stein_Engels_2015, title={Towards Vandalism
Detection in Knowledge Bases}, DOI={10.1145/2766462.2767804},
booktitle={SIGIR}, publisher={ACM}, author={Heindorf, Stefan and Potthast, Martin
and Stein, Benno and Engels, Gregor}, year={2015}, pages={831–834} }'
chicago: Heindorf, Stefan, Martin Potthast, Benno Stein, and Gregor Engels. “Towards
Vandalism Detection in Knowledge Bases.” In SIGIR, 831–34. ACM, 2015. https://doi.org/10.1145/2766462.2767804.
ieee: 'S. Heindorf, M. Potthast, B. Stein, and G. Engels, “Towards Vandalism Detection
in Knowledge Bases,” in SIGIR, 2015, pp. 831–834, doi: 10.1145/2766462.2767804.'
mla: Heindorf, Stefan, et al. “Towards Vandalism Detection in Knowledge Bases.”
SIGIR, ACM, 2015, pp. 831–34, doi:10.1145/2766462.2767804.
short: 'S. Heindorf, M. Potthast, B. Stein, G. Engels, in: SIGIR, ACM, 2015, pp.
831–834.'
date_created: 2019-01-15T08:45:08Z
date_updated: 2022-10-17T15:07:08Z
ddc:
- '000'
department:
- _id: '66'
doi: 10.1145/2766462.2767804
file:
- access_level: closed
content_type: application/pdf
creator: heindorf
date_created: 2019-04-27T06:06:08Z
date_updated: 2019-04-27T06:06:08Z
file_id: '9517'
file_name: heindorf2015_SIGIR.pdf
file_size: 322456
relation: main_file
success: 1
file_date_updated: 2019-04-27T06:06:08Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/heindorf2015_SIGIR.pdf
oa: '1'
page: 831-834
publication: SIGIR
publication_identifier:
isbn:
- '9781450336215'
publication_status: published
publisher: ACM
status: public
title: Towards Vandalism Detection in Knowledge Bases
type: conference
user_id: '11871'
year: '2015'
...
---
_id: '46373'
abstract:
- lang: eng
text: The need for automatic methods of topic discovery in the Internet grows exponentially
with the amount of available textual information. Nowadays it becomes impossible
to manually read even a small part of the information in order to reveal the underlying
topics. Social media provide us with a great pool of user generated content, where
topic discovery may be extremely useful for businesses, politicians, researchers,
and other stakeholders. However, conventional topic discovery methods, which are
widely used in large text corpora, face several challenges when they are applied
in social media and particularly in Twitter – the most popular microblogging platform.
To the best of our knowledge no comprehensive overview of these challenges and
of the methods dedicated to address these challenges does exist in IS literature
until now. Therefore, this paper provides an overview of these challenges, matching
methods and their expected usefulness for social media analytics.
author:
- first_name: Andrey
full_name: Chinnov, Andrey
last_name: Chinnov
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Christian
full_name: Meske, Christian
last_name: Meske
- first_name: Stefan
full_name: Stieglitz, Stefan
last_name: Stieglitz
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Chinnov A, Kerschke P, Meske C, Stieglitz S, Trautmann H. An Overview of Topic
Discovery in Twitter Communication through Social Media Analytics. In: Proceedings
of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15). ; 2015:1–10.'
apa: Chinnov, A., Kerschke, P., Meske, C., Stieglitz, S., & Trautmann, H. (2015).
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.
Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS
’15), 1–10.
bibtex: '@inproceedings{Chinnov_Kerschke_Meske_Stieglitz_Trautmann_2015, place={Puerto
Rico}, title={An Overview of Topic Discovery in Twitter Communication through
Social Media Analytics}, booktitle={Proceedings of the 20$^th$ Americas Conference
on Information Systems (AMCIS ’15)}, author={Chinnov, Andrey and Kerschke, Pascal
and Meske, Christian and Stieglitz, Stefan and Trautmann, Heike}, year={2015},
pages={1–10} }'
chicago: Chinnov, Andrey, Pascal Kerschke, Christian Meske, Stefan Stieglitz, and
Heike Trautmann. “An Overview of Topic Discovery in Twitter Communication through
Social Media Analytics.” In Proceedings of the 20$^th$ Americas Conference
on Information Systems (AMCIS ’15), 1–10. Puerto Rico, 2015.
ieee: A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, and H. Trautmann, “An Overview
of Topic Discovery in Twitter Communication through Social Media Analytics,” in
Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS
’15), 2015, pp. 1–10.
mla: Chinnov, Andrey, et al. “An Overview of Topic Discovery in Twitter Communication
through Social Media Analytics.” Proceedings of the 20$^th$ Americas Conference
on Information Systems (AMCIS ’15), 2015, pp. 1–10.
short: 'A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, H. Trautmann, in: Proceedings
of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), Puerto
Rico, 2015, pp. 1–10.'
date_created: 2023-08-04T15:20:52Z
date_updated: 2023-10-16T13:41:00Z
department:
- _id: '34'
- _id: '819'
language:
- iso: eng
page: 1–10
place: Puerto Rico
publication: Proceedings of the 20$^th$ Americas Conference on Information Systems
(AMCIS ’15)
publication_identifier:
isbn:
- 978-0-9966831-0-4
status: public
title: An Overview of Topic Discovery in Twitter Communication through Social Media
Analytics
type: conference
user_id: '15504'
year: '2015'
...
---
_id: '46375'
abstract:
- lang: eng
text: In single-objective optimization different optimization strategies exist depending
on the structure and characteristics of the underlying problem. In particular,
the presence of so-called funnels in multimodal problems offers the possibility
of applying techniques exploiting the global structure of the function. The recently
proposed Exploratory Landscape Analysis approach automatically identifies problem
characteristics based on a moderately small initial sample of the objective function
and proved to be effective for algorithm selection problems in continuous black-box
optimization. In this paper, specific features for detecting funnel structures
are introduced and combined with the existing ones in order to classify optimization
problems regarding the funnel property. The effectiveness of the approach is shown
by experiments on specifically generated test instances and validation experiments
on standard benchmark problems.
author:
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Mike
full_name: Preuss, Mike
last_name: Preuss
- first_name: Simon
full_name: Wessing, Simon
last_name: Wessing
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Kerschke P, Preuss M, Wessing S, Trautmann H. Detecting Funnel Structures
by Means of Exploratory Landscape Analysis. In: Silva S, ed. Proceedings of
the Genetic and Evolutionary Computation Conference (GECCO ’15). ACM; 2015:265–272.
doi:10.1145/2739480.2754642'
apa: Kerschke, P., Preuss, M., Wessing, S., & Trautmann, H. (2015). Detecting
Funnel Structures by Means of Exploratory Landscape Analysis. In S. Silva (Ed.),
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15)
(pp. 265–272). ACM. https://doi.org/10.1145/2739480.2754642
bibtex: '@inproceedings{Kerschke_Preuss_Wessing_Trautmann_2015, place={New York,
NY, USA}, title={Detecting Funnel Structures by Means of Exploratory Landscape
Analysis}, DOI={10.1145/2739480.2754642},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO ’15)}, publisher={ACM}, author={Kerschke, Pascal and Preuss, Mike and Wessing,
Simon and Trautmann, Heike}, editor={Silva, Sara}, year={2015}, pages={265–272}
}'
chicago: 'Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Detecting
Funnel Structures by Means of Exploratory Landscape Analysis.” In Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO ’15), edited
by Sara Silva, 265–272. New York, NY, USA: ACM, 2015. https://doi.org/10.1145/2739480.2754642.'
ieee: 'P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Detecting Funnel Structures
by Means of Exploratory Landscape Analysis,” in Proceedings of the Genetic
and Evolutionary Computation Conference (GECCO ’15), 2015, pp. 265–272, doi:
10.1145/2739480.2754642.'
mla: Kerschke, Pascal, et al. “Detecting Funnel Structures by Means of Exploratory
Landscape Analysis.” Proceedings of the Genetic and Evolutionary Computation
Conference (GECCO ’15), edited by Sara Silva, ACM, 2015, pp. 265–272, doi:10.1145/2739480.2754642.
short: 'P. Kerschke, M. Preuss, S. Wessing, H. Trautmann, in: S. Silva (Ed.), Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO ’15), ACM, New York,
NY, USA, 2015, pp. 265–272.'
date_created: 2023-08-04T15:22:39Z
date_updated: 2023-10-16T13:41:38Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/2739480.2754642
editor:
- first_name: Sara
full_name: Silva, Sara
last_name: Silva
language:
- iso: eng
page: 265–272
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO
’15)
publication_identifier:
isbn:
- 978-1-4503-3472-3
publisher: ACM
status: public
title: Detecting Funnel Structures by Means of Exploratory Landscape Analysis
type: conference
user_id: '15504'
year: '2015'
...
---
_id: '46376'
abstract:
- lang: eng
text: We investigate per-instance algorithm selection techniques for solving the
Travelling Salesman Problem (TSP), based on the two state-of-the-art inexact TSP
solvers, LKH and EAX. Our comprehensive experiments demonstrate that the solvers
exhibit complementary performance across a diverse set of instances, and the potential
for improving the state of the art by selecting between them is significant. Using
TSP features from the literature as well as a set of novel features, we show that
we can capitalise on this potential by building an efficient selector that achieves
significant performance improvements in practice. Our selectors represent a significant
improvement in the state-of-the-art in inexact TSP solving, and hence in the ability
to find optimal solutions (without proof of optimality) for challenging TSP instances
in practice.
author:
- first_name: Lars
full_name: Kotthoff, Lars
last_name: Kotthoff
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Holger
full_name: Hoos, Holger
last_name: Hoos
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Kotthoff L, Kerschke P, Hoos H, Trautmann H. Improving the State of the Art
in Inexact TSP Solving Using Per-Instance Algorithm Selection. In: Dhaenens C,
Jourdan L, Marmion M-E, eds. Learning and Intelligent Optimization. Springer
International Publishing; 2015:202–217.'
apa: Kotthoff, L., Kerschke, P., Hoos, H., & Trautmann, H. (2015). Improving
the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.
In C. Dhaenens, L. Jourdan, & M.-E. Marmion (Eds.), Learning and Intelligent
Optimization (pp. 202–217). Springer International Publishing.
bibtex: '@inproceedings{Kotthoff_Kerschke_Hoos_Trautmann_2015, place={Cham}, title={Improving
the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection},
booktitle={Learning and Intelligent Optimization}, publisher={Springer International
Publishing}, author={Kotthoff, Lars and Kerschke, Pascal and Hoos, Holger and
Trautmann, Heike}, editor={Dhaenens, Clarisse and Jourdan, Laetitia and Marmion,
Marie-Eléonore}, year={2015}, pages={202–217} }'
chicago: 'Kotthoff, Lars, Pascal Kerschke, Holger Hoos, and Heike Trautmann. “Improving
the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.”
In Learning and Intelligent Optimization, edited by Clarisse Dhaenens,
Laetitia Jourdan, and Marie-Eléonore Marmion, 202–217. Cham: Springer International
Publishing, 2015.'
ieee: L. Kotthoff, P. Kerschke, H. Hoos, and H. Trautmann, “Improving the State
of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection,” in
Learning and Intelligent Optimization, 2015, pp. 202–217.
mla: Kotthoff, Lars, et al. “Improving the State of the Art in Inexact TSP Solving
Using Per-Instance Algorithm Selection.” Learning and Intelligent Optimization,
edited by Clarisse Dhaenens et al., Springer International Publishing, 2015, pp.
202–217.
short: 'L. Kotthoff, P. Kerschke, H. Hoos, H. Trautmann, in: C. Dhaenens, L. Jourdan,
M.-E. Marmion (Eds.), Learning and Intelligent Optimization, Springer International
Publishing, Cham, 2015, pp. 202–217.'
date_created: 2023-08-04T15:24:20Z
date_updated: 2023-10-16T13:41:54Z
department:
- _id: '34'
- _id: '819'
editor:
- first_name: Clarisse
full_name: Dhaenens, Clarisse
last_name: Dhaenens
- first_name: Laetitia
full_name: Jourdan, Laetitia
last_name: Jourdan
- first_name: Marie-Eléonore
full_name: Marmion, Marie-Eléonore
last_name: Marmion
language:
- iso: eng
page: 202–217
place: Cham
publication: Learning and Intelligent Optimization
publication_identifier:
isbn:
- 978-3-319-19084-6
publisher: Springer International Publishing
status: public
title: Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm
Selection
type: conference
user_id: '15504'
year: '2015'
...