---
_id: '10222'
author:
- first_name: K.
full_name: Jasinska, K.
last_name: Jasinska
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Timo
full_name: Klerx, Timo
last_name: Klerx
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Jasinska K, Dembczynski K, Busa-Fekete R, Klerx T, Hüllermeier E. Extreme
F-measure maximization using sparse probability estimates . In: Balcan MF, Weinberger
KQ, eds. Proceedings ICML-2016, 33th International Conference on Machine Learning,
New York, USA. ; 2016.'
apa: Jasinska, K., Dembczynski, K., Busa-Fekete, R., Klerx, T., & Hüllermeier,
E. (2016). Extreme F-measure maximization using sparse probability estimates .
In M. F. Balcan & K. Q. Weinberger (Eds.), Proceedings ICML-2016, 33th
International Conference on Machine Learning, New York, USA.
bibtex: '@inproceedings{Jasinska_Dembczynski_Busa-Fekete_Klerx_Hüllermeier_2016,
title={Extreme F-measure maximization using sparse probability estimates }, booktitle={Proceedings
ICML-2016, 33th International Conference on Machine Learning, New York, USA},
author={Jasinska, K. and Dembczynski, K. and Busa-Fekete, Robert and Klerx, Timo
and Hüllermeier, Eyke}, editor={Balcan, M.F. and Weinberger, K.Q.Editors}, year={2016}
}'
chicago: Jasinska, K., K. Dembczynski, Robert Busa-Fekete, Timo Klerx, and Eyke
Hüllermeier. “Extreme F-Measure Maximization Using Sparse Probability Estimates
.” In Proceedings ICML-2016, 33th International Conference on Machine Learning,
New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
ieee: K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, and E. Hüllermeier,
“Extreme F-measure maximization using sparse probability estimates ,” in Proceedings
ICML-2016, 33th International Conference on Machine Learning, New York, USA,
2016.
mla: Jasinska, K., et al. “Extreme F-Measure Maximization Using Sparse Probability
Estimates .” Proceedings ICML-2016, 33th International Conference on Machine
Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
short: 'K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, E. Hüllermeier, in:
M.F. Balcan, K.Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International
Conference on Machine Learning, New York, USA, 2016.'
date_created: 2019-06-11T14:47:31Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: M.F.
full_name: Balcan, M.F.
last_name: Balcan
- first_name: K.Q.
full_name: Weinberger, K.Q.
last_name: Weinberger
language:
- iso: eng
publication: Proceedings ICML-2016, 33th International Conference on Machine Learning,
New York, USA
status: public
title: 'Extreme F-measure maximization using sparse probability estimates '
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10223'
author:
- first_name: Vitaly
full_name: Melnikov, Vitaly
id: '58747'
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Learning to aggregate using uninorms, in Proceedings
ECML/PKDD-2016. In: European Conference on Machine Learning and Knowledge Discovery
in Databases, Part II, Riva Del Garda, Italy. ; 2016:756-771.'
apa: Melnikov, V., & Hüllermeier, E. (2016). Learning to aggregate using uninorms,
in Proceedings ECML/PKDD-2016. In European Conference on Machine Learning and
Knowledge Discovery in Databases, Part II, Riva del Garda, Italy (pp. 756–771).
bibtex: '@inproceedings{Melnikov_Hüllermeier_2016, title={Learning to aggregate
using uninorms, in Proceedings ECML/PKDD-2016}, booktitle={European Conference
on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda,
Italy}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2016}, pages={756–771}
}'
chicago: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,
in Proceedings ECML/PKDD-2016.” In European Conference on Machine Learning
and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 756–71,
2016.
ieee: V. Melnikov and E. Hüllermeier, “Learning to aggregate using uninorms, in
Proceedings ECML/PKDD-2016,” in European Conference on Machine Learning and
Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp.
756–771.
mla: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,
in Proceedings ECML/PKDD-2016.” European Conference on Machine Learning and
Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp.
756–71.
short: 'V. Melnikov, E. Hüllermeier, in: European Conference on Machine Learning
and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp.
756–771.'
date_created: 2019-06-11T14:51:30Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 756-771
publication: European Conference on Machine Learning and Knowledge Discovery in Databases,
Part II, Riva del Garda, Italy
status: public
title: Learning to aggregate using uninorms, in Proceedings ECML/PKDD-2016
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10224'
author:
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: W.
full_name: Kotlowski, W.
last_name: Kotlowski
- first_name: W.
full_name: Waegeman, W.
last_name: Waegeman
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Dembczynski K, Kotlowski W, Waegeman W, Busa-Fekete R, Hüllermeier E. Consistency
of probalistic classifier trees. In: In Proceedings ECML/PKDD European Conference
on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda,
Italy. ; 2016:511-526.'
apa: Dembczynski, K., Kotlowski, W., Waegeman, W., Busa-Fekete, R., & Hüllermeier,
E. (2016). Consistency of probalistic classifier trees. In In Proceedings ECML/PKDD
European Conference on Maschine Learning and Knowledge Discovery in Databases,
Part II, Riva del Garda, Italy (pp. 511–526).
bibtex: '@inproceedings{Dembczynski_Kotlowski_Waegeman_Busa-Fekete_Hüllermeier_2016,
title={Consistency of probalistic classifier trees}, booktitle={In Proceedings
ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in
Databases, Part II, Riva del Garda, Italy}, author={Dembczynski, K. and Kotlowski,
W. and Waegeman, W. and Busa-Fekete, Robert and Hüllermeier, Eyke}, year={2016},
pages={511–526} }'
chicago: Dembczynski, K., W. Kotlowski, W. Waegeman, Robert Busa-Fekete, and Eyke
Hüllermeier. “Consistency of Probalistic Classifier Trees.” In In Proceedings
ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in
Databases, Part II, Riva Del Garda, Italy, 511–26, 2016.
ieee: K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, and E. Hüllermeier,
“Consistency of probalistic classifier trees,” in In Proceedings ECML/PKDD
European Conference on Maschine Learning and Knowledge Discovery in Databases,
Part II, Riva del Garda, Italy, 2016, pp. 511–526.
mla: Dembczynski, K., et al. “Consistency of Probalistic Classifier Trees.” In
Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery
in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–26.
short: 'K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, E. Hüllermeier,
in: In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge
Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–526.'
date_created: 2019-06-11T14:56:02Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 511-526
publication: In Proceedings ECML/PKDD European Conference on Maschine Learning and
Knowledge Discovery in Databases, Part II, Riva del Garda, Italy
status: public
title: Consistency of probalistic classifier trees
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10225'
author:
- first_name: Aulon
full_name: Shabani, Aulon
last_name: Shabani
- first_name: Adil
full_name: Paul, Adil
last_name: Paul
- first_name: R.
full_name: Platon, R.
last_name: Platon
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shabani A, Paul A, Platon R, Hüllermeier E. Predicting the electricity consumption
of buildings: An improved CBR approach. In: In Proceedings ICCBR, 24th International
Conference on Case-Based Reasoning, Atlanta, GA, USA. ; 2016:356-369.'
apa: 'Shabani, A., Paul, A., Platon, R., & Hüllermeier, E. (2016). Predicting
the electricity consumption of buildings: An improved CBR approach. In In Proceedings
ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA
(pp. 356–369).'
bibtex: '@inproceedings{Shabani_Paul_Platon_Hüllermeier_2016, title={Predicting
the electricity consumption of buildings: An improved CBR approach}, booktitle={In
Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta,
GA, USA}, author={Shabani, Aulon and Paul, Adil and Platon, R. and Hüllermeier,
Eyke}, year={2016}, pages={356–369} }'
chicago: 'Shabani, Aulon, Adil Paul, R. Platon, and Eyke Hüllermeier. “Predicting
the Electricity Consumption of Buildings: An Improved CBR Approach.” In In
Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta,
GA, USA, 356–69, 2016.'
ieee: 'A. Shabani, A. Paul, R. Platon, and E. Hüllermeier, “Predicting the electricity
consumption of buildings: An improved CBR approach,” in In Proceedings ICCBR,
24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016,
pp. 356–369.'
mla: 'Shabani, Aulon, et al. “Predicting the Electricity Consumption of Buildings:
An Improved CBR Approach.” In Proceedings ICCBR, 24th International Conference
on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–69.'
short: 'A. Shabani, A. Paul, R. Platon, E. Hüllermeier, in: In Proceedings ICCBR,
24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016,
pp. 356–369.'
date_created: 2019-06-11T15:00:49Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 356-369
publication: In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning,
Atlanta, GA, USA
status: public
title: 'Predicting the electricity consumption of buildings: An improved CBR approach'
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10226'
author:
- first_name: Karlson
full_name: Pfannschmidt, Karlson
id: '13472'
last_name: Pfannschmidt
orcid: 0000-0001-9407-7903
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: S.
full_name: Held, S.
last_name: Held
- first_name: R.
full_name: Neiger, R.
last_name: Neiger
citation:
ama: 'Pfannschmidt K, Hüllermeier E, Held S, Neiger R. Evaluating tests in medical
diagnosis-Combining machine learning with game-theoretical concepts. In: In
Proceedings IPMU 16th International Conference on Information Processing and Management
of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands.
Springer; 2016:450-461.'
apa: Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating
tests in medical diagnosis-Combining machine learning with game-theoretical concepts.
In In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands (pp. 450–461). Springer.
bibtex: '@inproceedings{Pfannschmidt_Hüllermeier_Held_Neiger_2016, title={Evaluating
tests in medical diagnosis-Combining machine learning with game-theoretical concepts},
booktitle={In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands}, publisher={Springer}, author={Pfannschmidt, Karlson and Hüllermeier,
Eyke and Held, S. and Neiger, R.}, year={2016}, pages={450–461} }'
chicago: Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating
Tests in Medical Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.”
In In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands, 450–61. Springer, 2016.
ieee: K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests
in medical diagnosis-Combining machine learning with game-theoretical concepts,”
in In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven,
The Netherlands, 2016, pp. 450–461.
mla: Pfannschmidt, Karlson, et al. “Evaluating Tests in Medical Diagnosis-Combining
Machine Learning with Game-Theoretical Concepts.” In Proceedings IPMU 16th
International Conference on Information Processing and Management of Uncertainty
in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer,
2016, pp. 450–61.
short: 'K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings
IPMU 16th International Conference on Information Processing and Management of
Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer,
2016, pp. 450–461.'
date_created: 2019-06-11T15:11:54Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 450-461
publication: In Proceedings IPMU 16th International Conference on Information Processing
and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The
Netherlands
publisher: Springer
status: public
title: Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical
concepts
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10227'
author:
- first_name: C.
full_name: Labreuche, C.
last_name: Labreuche
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: P.
full_name: Vojtas, P.
last_name: Vojtas
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
citation:
ama: 'Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the Identifiability
of models in multi-criteria preference learning . In: Busa-Fekete R, Hüllermeier
E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016, Euro Mini Conference
from Multiple Criteria Decision Aid to Preference Learning. ; 2016.'
apa: Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016).
On the Identifiability of models in multi-criteria preference learning . In R.
Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning.
bibtex: '@inproceedings{Labreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title={On
the Identifiability of models in multi-criteria preference learning }, booktitle={Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning}, author={Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah
Tehrani, A.}, editor={Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau,
V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On
the Identifiability of Models in Multi-Criteria Preference Learning .” In Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and
Karlson Pfannschmidt, 2016.
ieee: C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the Identifiability
of models in multi-criteria preference learning ,” in Proceedings DA2PL ´2016,
Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning,
2016.
mla: Labreuche, C., et al. “On the Identifiability of Models in Multi-Criteria Preference
Learning .” Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning, edited by Robert Busa-Fekete et al.,
2016.
short: 'C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete,
E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016,
Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning,
2016.'
date_created: 2019-06-11T15:34:48Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning
status: public
title: 'On the Identifiability of models in multi-criteria preference learning '
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10228'
author:
- first_name: Dirk
full_name: Schäfer, Dirk
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Preference-Based Reinforcement Learning Using Dyad
Ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings
DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference
Learning. ; 2016.'
apa: Schäfer, D., & Hüllermeier, E. (2016). Preference-Based Reinforcement Learning
Using Dyad Ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt
(Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning.
bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Preference-Based Reinforcement
Learning Using Dyad Ranking}, booktitle={Proceedings DA2PL ´2016, Euro Mini Conference
from Multiple Criteria Decision Aid to Preference Learning}, author={Schäfer,
Dirk and Hüllermeier, Eyke}, editor={Busa-Fekete, Robert and Hüllermeier, Eyke
and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” In Proceedings DA2PL ´2016, Euro Mini Conference from
Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete,
Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.
ieee: D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using
Dyad Ranking,” in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple
Criteria Decision Aid to Preference Learning, 2016.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” Proceedings DA2PL ´2016, Euro Mini Conference from Multiple
Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete
et al., 2016.
short: 'D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau,
K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference from Multiple
Criteria Decision Aid to Preference Learning, 2016.'
date_created: 2019-06-11T15:37:51Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning
status: public
title: Preference-Based Reinforcement Learning Using Dyad Ranking
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10229'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete
Ranking Data: A Comparison of two likelihood-based estimators. In: Busa-Fekete
R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. Proceedings DA2PL ´2016,
Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning.
; 2016.'
apa: 'Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical
Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators.
In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.),
Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision
Aid to Preference Learning.'
bibtex: '@inproceedings{Couso_Ahmadi Fahandar_Hüllermeier_2016, title={Statistical
Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators},
booktitle={Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning}, author={Couso, Ines and Ahmadi Fahandar,
Mohsen and Hüllermeier, Eyke}, editor={Busa-Fekete, Robert and Hüllermeier, Eyke
and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }'
chicago: 'Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical
Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.”
In Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision
Aid to Preference Learning, edited by Robert Busa-Fekete, Eyke Hüllermeier,
V. Mousseau, and Karlson Pfannschmidt, 2016.'
ieee: 'I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference
for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,”
in Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision
Aid to Preference Learning, 2016.'
mla: 'Couso, Ines, et al. “Statistical Inference for Incomplete Ranking Data: A
Comparison of Two Likelihood-Based Estimators.” Proceedings DA2PL ´2016, Euro
Mini Conference from Multiple Criteria Decision Aid to Preference Learning,
edited by Robert Busa-Fekete et al., 2016.'
short: 'I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier,
V. Mousseau, K. Pfannschmidt (Eds.), Proceedings DA2PL ´2016, Euro Mini Conference
from Multiple Criteria Decision Aid to Preference Learning, 2016.'
date_created: 2019-06-11T15:41:55Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: V.
full_name: Mousseau, V.
last_name: Mousseau
- first_name: Karlson
full_name: Pfannschmidt, Karlson
last_name: Pfannschmidt
language:
- iso: eng
publication: Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria
Decision Aid to Preference Learning
status: public
title: 'Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based
estimators'
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10230'
author:
- first_name: S.
full_name: Lu, S.
last_name: Lu
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy
supersets losses. In: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings
26. Workshop Computational Intelligence, KIT Scientific Publishing. ; 2016:1-8.'
apa: Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy
data using fuzzy supersets losses. In F. Hoffmann, E. Hüllermeier, & R. Mikut
(Eds.), Proceedings 26. Workshop Computational Intelligence, KIT Scientific
Publishing (pp. 1–8).
bibtex: '@inproceedings{Lu_Hüllermeier_2016, title={Support vector classification
on noisy data using fuzzy supersets losses}, booktitle={Proceedings 26. Workshop
Computational Intelligence, KIT Scientific Publishing}, author={Lu, S. and Hüllermeier,
Eyke}, editor={Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.Editors}, year={2016},
pages={1–8} }'
chicago: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data
Using Fuzzy Supersets Losses.” In Proceedings 26. Workshop Computational Intelligence,
KIT Scientific Publishing, edited by F. Hoffmann, Eyke Hüllermeier, and R.
Mikut, 1–8, 2016.
ieee: S. Lu and E. Hüllermeier, “Support vector classification on noisy data using
fuzzy supersets losses,” in Proceedings 26. Workshop Computational Intelligence,
KIT Scientific Publishing, 2016, pp. 1–8.
mla: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data
Using Fuzzy Supersets Losses.” Proceedings 26. Workshop Computational Intelligence,
KIT Scientific Publishing, edited by F. Hoffmann et al., 2016, pp. 1–8.
short: 'S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.),
Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing,
2016, pp. 1–8.'
date_created: 2019-06-11T15:46:58Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: F.
full_name: Hoffmann, F.
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: R.
full_name: Mikut, R.
last_name: Mikut
language:
- iso: eng
page: 1-8
publication: Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing
status: public
title: Support vector classification on noisy data using fuzzy supersets losses
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10231'
author:
- first_name: Dirk
full_name: Schäfer, Dirk
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Plackett-Luce networks for dyad ranking. In: In
Workshop LWDA “Lernen, Wissen, Daten, Analysen.” ; 2016.'
apa: Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad
ranking. In In Workshop LWDA “Lernen, Wissen, Daten, Analysen.”
bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Plackett-Luce networks
for dyad ranking}, booktitle={In Workshop LWDA “Lernen, Wissen, Daten, Analysen”},
author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2016} }'
chicago: Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.”
In In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
ieee: D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,”
in In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.”
In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
short: 'D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten,
Analysen,” 2016.'
date_created: 2019-06-11T15:49:26Z
date_updated: 2022-01-06T06:50:32Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
publication: In Workshop LWDA "Lernen, Wissen, Daten, Analysen"
status: public
title: Plackett-Luce networks for dyad ranking
type: conference
user_id: '49109'
year: '2016'
...
---
_id: '10263'
citation:
ama: 'Kaminka GA, Fox M, Bouquet P, et al., eds. ECAI 2016, 22nd European Conference
on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial
Intelligence. Vol 285. The Hague, The Netherlands: IOS Press; 2016.'
apa: 'Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum,
F., & van Harmelen, F. (Eds.). (2016). ECAI 2016, 22nd European Conference
on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial
Intelligence (Vol. 285). The Hague, The Netherlands: IOS Press.'
bibtex: '@book{Kaminka_Fox_Bouquet_Hüllermeier_Dignum_Dignum_van Harmelen_2016,
place={The Hague, The Netherlands}, series={Frontiers in Artificial Intelligence
and Applications, The Hague, The Netherlands}, title={ECAI 2016, 22nd European
Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications
of Artificial Intelligence}, volume={285}, publisher={IOS Press}, year={2016},
collection={Frontiers in Artificial Intelligence and Applications, The Hague,
The Netherlands} }'
chicago: 'Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum,
and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial
Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence.
Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The
Netherlands. The Hague, The Netherlands: IOS Press, 2016.'
ieee: 'G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference
on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial
Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.'
mla: Kaminka, G. A., et al., editors. ECAI 2016, 22nd European Conference on
Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial
Intelligence. Vol. 285, IOS Press, 2016.
short: G.A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F.
van Harmelen, eds., ECAI 2016, 22nd European Conference on Artificial Intelligence,
Including PAIS 2016, Prestigious Applications of Artificial Intelligence, IOS
Press, The Hague, The Netherlands, 2016.
date_created: 2019-06-18T15:07:10Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
editor:
- first_name: G.A.
full_name: Kaminka, G.A.
last_name: Kaminka
- first_name: M.
full_name: Fox, M.
last_name: Fox
- first_name: P.
full_name: Bouquet, P.
last_name: Bouquet
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: V.
full_name: Dignum, V.
last_name: Dignum
- first_name: F.
full_name: Dignum, F.
last_name: Dignum
- first_name: F.
full_name: van Harmelen, F.
last_name: van Harmelen
intvolume: ' 285'
language:
- iso: eng
place: The Hague, The Netherlands
publisher: IOS Press
series_title: Frontiers in Artificial Intelligence and Applications, The Hague, The
Netherlands
status: public
title: ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS
2016, Prestigious Applications of Artificial Intelligence
type: conference_editor
user_id: '49109'
volume: 285
year: '2016'
...
---
_id: '10264'
author:
- first_name: M.
full_name: Leinweber, M.
last_name: Leinweber
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: L.
full_name: Baumgärtner, L.
last_name: Baumgärtner
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
- first_name: B.
full_name: Freisleben, B.
last_name: Freisleben
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large
scale comparison of protein binding sites. IEEE Transactions on Knowledge and
Data Engineering. 2016;28(6):1423-1434.'
apa: 'Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben,
B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison
of protein binding sites. IEEE Transactions on Knowledge and Data Engineering,
28(6), 1423–1434.'
bibtex: '@article{Leinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016,
title={CavSimBase: A database for large scale comparison of protein binding sites},
volume={28}, number={6}, journal={IEEE Transactions on Knowledge and Data Engineering},
author={Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and
Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}, year={2016}, pages={1423–1434}
}'
chicago: 'Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein
Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28,
no. 6 (2016): 1423–34.'
ieee: 'M. Leinweber et al., “CavSimBase: A database for large scale comparison
of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, pp. 1423–1434, 2016.'
mla: 'Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of
Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering,
vol. 28, no. 6, 2016, pp. 1423–34.'
short: M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben,
E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016)
1423–1434.
date_created: 2019-06-18T15:29:05Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 28'
issue: '6'
language:
- iso: eng
page: 1423-1434
publication: IEEE Transactions on Knowledge and Data Engineering
status: public
title: 'CavSimBase: A database for large scale comparison of protein binding sites'
type: journal_article
user_id: '49109'
volume: 28
year: '2016'
...
---
_id: '10266'
author:
- first_name: M.
full_name: Riemenschneider, M.
last_name: Riemenschneider
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: U.
full_name: Neumann, U.
last_name: Neumann
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: D.
full_name: Heider, D.
last_name: Heider
citation:
ama: Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification. BioData
Mining. 2016;9(10).
apa: Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., & Heider,
D. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance
information for improved drug resistance prediction by means of multi-label classification.
BioData Mining, 9(10).
bibtex: '@article{Riemenschneider_Senge_Neumann_Hüllermeier_Heider_2016, title={Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification}, volume={9},
number={10}, journal={BioData Mining}, author={Riemenschneider, M. and Senge,
Robin and Neumann, U. and Hüllermeier, Eyke and Heider, D.}, year={2016} }'
chicago: Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D.
Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance
Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.”
BioData Mining 9, no. 10 (2016).
ieee: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting
HIV-1 protease and reverse transcriptase cross-resistance information for improved
drug resistance prediction by means of multi-label classification,” BioData
Mining, vol. 9, no. 10, 2016.
mla: Riemenschneider, M., et al. “Exploiting HIV-1 Protease and Reverse Transcriptase
Cross-Resistance Information for Improved Drug Resistance Prediction by Means
of Multi-Label Classification.” BioData Mining, vol. 9, no. 10, 2016.
short: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, D. Heider, BioData
Mining 9 (2016).
date_created: 2019-06-18T15:37:19Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 9'
issue: '10'
language:
- iso: eng
publication: BioData Mining
status: public
title: Exploiting HIV-1 protease and reverse transcriptase cross-resistance information
for improved drug resistance prediction by means of multi-label classification
type: journal_article
user_id: '49109'
volume: 9
year: '2016'
...
---
_id: '1373'
author:
- first_name: Matthias
full_name: Herlich, Matthias
last_name: Herlich
- first_name: Nico
full_name: Bredenbals, Nico
last_name: Bredenbals
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: 'Herlich M, Bredenbals N, Karl H. Delayed (de-)activation in servers with a
sleep mode. Sustainable Computing: Informatics and Systems. 2016;10:48-55.
doi:10.1016/j.suscom.2016.04.002'
apa: 'Herlich, M., Bredenbals, N., & Karl, H. (2016). Delayed (de-)activation
in servers with a sleep mode. Sustainable Computing: Informatics and Systems,
10, 48–55. https://doi.org/10.1016/j.suscom.2016.04.002'
bibtex: '@article{Herlich_Bredenbals_Karl_2016, title={Delayed (de-)activation in
servers with a sleep mode}, volume={10}, DOI={10.1016/j.suscom.2016.04.002},
journal={Sustainable Computing: Informatics and Systems}, publisher={Elsevier
BV}, author={Herlich, Matthias and Bredenbals, Nico and Karl, Holger}, year={2016},
pages={48–55} }'
chicago: 'Herlich, Matthias, Nico Bredenbals, and Holger Karl. “Delayed (de-)Activation
in Servers with a Sleep Mode.” Sustainable Computing: Informatics and Systems
10 (2016): 48–55. https://doi.org/10.1016/j.suscom.2016.04.002.'
ieee: 'M. Herlich, N. Bredenbals, and H. Karl, “Delayed (de-)activation in servers
with a sleep mode,” Sustainable Computing: Informatics and Systems, vol.
10, pp. 48–55, 2016.'
mla: 'Herlich, Matthias, et al. “Delayed (de-)Activation in Servers with a Sleep
Mode.” Sustainable Computing: Informatics and Systems, vol. 10, Elsevier
BV, 2016, pp. 48–55, doi:10.1016/j.suscom.2016.04.002.'
short: 'M. Herlich, N. Bredenbals, H. Karl, Sustainable Computing: Informatics and
Systems 10 (2016) 48–55.'
date_created: 2018-03-19T13:29:17Z
date_updated: 2022-01-06T06:51:43Z
department:
- _id: '75'
doi: 10.1016/j.suscom.2016.04.002
intvolume: ' 10'
page: 48-55
publication: 'Sustainable Computing: Informatics and Systems'
publication_identifier:
issn:
- 2210-5379
publication_status: published
publisher: Elsevier BV
status: public
title: Delayed (de-)activation in servers with a sleep mode
type: journal_article
user_id: '15572'
volume: 10
year: '2016'
...
---
_id: '137'
abstract:
- lang: eng
text: Wikidata is the new, large-scale knowledge base of the Wikimedia Foundation.
Its knowledge is increasingly used within Wikipedia itself and various other kinds
of information systems, imposing high demands on its integrity.Wikidata can be
edited by anyone and, unfortunately, it frequently gets vandalized, exposing all
information systems using it to the risk of spreading vandalized and falsified
information. In this paper, we present a new machine learning-based approach to
detect vandalism in Wikidata.We propose a set of 47 features that exploit both
content and context information, and we report on 4 classifiers of increasing
effectiveness tailored to this learning task. Our approach is evaluated on the
recently published Wikidata Vandalism Corpus WDVC-2015 and it achieves an area
under curve value of the receiver operating characteristic, ROC-AUC, of 0.991.
It significantly outperforms the state of the art represented by the rule-based
Wikidata Abuse Filter (0.865 ROC-AUC) and a prototypical vandalism detector recently
introduced by Wikimedia within the Objective Revision Evaluation Service (0.859
ROC-AUC).
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Matthias
full_name: Potthast, Matthias
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. Vandalism Detection in Wikidata.
In: Proceedings of the 25th International Conference on Information and Knowledge
Management (CIKM 2016). ; 2016:327--336. doi:10.1145/2983323.2983740'
apa: Heindorf, S., Potthast, M., Stein, B., & Engels, G. (2016). Vandalism Detection
in Wikidata. Proceedings of the 25th International Conference on Information
and Knowledge Management (CIKM 2016), 327--336. https://doi.org/10.1145/2983323.2983740
bibtex: '@inproceedings{Heindorf_Potthast_Stein_Engels_2016, title={Vandalism Detection
in Wikidata}, DOI={10.1145/2983323.2983740},
booktitle={Proceedings of the 25th International Conference on Information and
Knowledge Management (CIKM 2016)}, author={Heindorf, Stefan and Potthast, Matthias
and Stein, Benno and Engels, Gregor}, year={2016}, pages={327--336} }'
chicago: Heindorf, Stefan, Matthias Potthast, Benno Stein, and Gregor Engels. “Vandalism
Detection in Wikidata.” In Proceedings of the 25th International Conference
on Information and Knowledge Management (CIKM 2016), 327--336, 2016. https://doi.org/10.1145/2983323.2983740.
ieee: 'S. Heindorf, M. Potthast, B. Stein, and G. Engels, “Vandalism Detection in
Wikidata,” in Proceedings of the 25th International Conference on Information
and Knowledge Management (CIKM 2016), 2016, pp. 327--336, doi: 10.1145/2983323.2983740.'
mla: Heindorf, Stefan, et al. “Vandalism Detection in Wikidata.” Proceedings
of the 25th International Conference on Information and Knowledge Management (CIKM
2016), 2016, pp. 327--336, doi:10.1145/2983323.2983740.
short: 'S. Heindorf, M. Potthast, B. Stein, G. Engels, in: Proceedings of the 25th
International Conference on Information and Knowledge Management (CIKM 2016),
2016, pp. 327--336.'
date_created: 2017-10-17T12:41:18Z
date_updated: 2022-10-17T11:31:41Z
ddc:
- '040'
department:
- _id: '66'
doi: 10.1145/2983323.2983740
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T13:01:43Z
date_updated: 2018-03-21T13:01:43Z
file_id: '1561'
file_name: 137-p327-heindorf.pdf
file_size: 1842753
relation: main_file
success: 1
file_date_updated: 2018-03-21T13:01:43Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/heindorf2016_CIKM.pdf
oa: '1'
page: 327--336
project:
- _id: '1'
name: SFB 901
- _id: '17'
name: SFB 901 - Subprojekt C5
- _id: '4'
name: SFB 901 - Project Area C
publication: Proceedings of the 25th International Conference on Information and Knowledge
Management (CIKM 2016)
status: public
title: Vandalism Detection in Wikidata
type: conference
user_id: '11871'
year: '2016'
...
---
_id: '2978'
author:
- first_name: Johannes
full_name: Blömer, Johannes
id: '23'
last_name: Blömer
- first_name: Kathrin
full_name: Bujna, Kathrin
last_name: Bujna
citation:
ama: 'Blömer J, Bujna K. Adaptive Seeding for Gaussian Mixture Models. In: Advances
in Knowledge Discovery and Data Mining. Springer International Publishing;
2016:296-308. doi:10.1007/978-3-319-31750-2_24'
apa: Blömer, J., & Bujna, K. (2016). Adaptive Seeding for Gaussian Mixture Models.
In Advances in Knowledge Discovery and Data Mining (pp. 296–308). Springer
International Publishing. https://doi.org/10.1007/978-3-319-31750-2_24
bibtex: '@inbook{Blömer_Bujna_2016, place={Cham}, title={Adaptive Seeding for Gaussian
Mixture Models}, DOI={10.1007/978-3-319-31750-2_24},
booktitle={Advances in Knowledge Discovery and Data Mining}, publisher={Springer
International Publishing}, author={Blömer, Johannes and Bujna, Kathrin}, year={2016},
pages={296–308} }'
chicago: 'Blömer, Johannes, and Kathrin Bujna. “Adaptive Seeding for Gaussian Mixture
Models.” In Advances in Knowledge Discovery and Data Mining, 296–308. Cham:
Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-31750-2_24.'
ieee: 'J. Blömer and K. Bujna, “Adaptive Seeding for Gaussian Mixture Models,” in
Advances in Knowledge Discovery and Data Mining, Cham: Springer International
Publishing, 2016, pp. 296–308.'
mla: Blömer, Johannes, and Kathrin Bujna. “Adaptive Seeding for Gaussian Mixture
Models.” Advances in Knowledge Discovery and Data Mining, Springer International
Publishing, 2016, pp. 296–308, doi:10.1007/978-3-319-31750-2_24.
short: 'J. Blömer, K. Bujna, in: Advances in Knowledge Discovery and Data Mining,
Springer International Publishing, Cham, 2016, pp. 296–308.'
date_created: 2018-06-05T07:31:39Z
date_updated: 2023-01-10T13:49:50Z
department:
- _id: '64'
doi: 10.1007/978-3-319-31750-2_24
page: 296-308
place: Cham
publication: Advances in Knowledge Discovery and Data Mining
publication_identifier:
isbn:
- '9783319317496'
- '9783319317502'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: Adaptive Seeding for Gaussian Mixture Models
type: book_chapter
user_id: '25078'
year: '2016'
...
---
_id: '48306'
abstract:
- lang: eng
text: The goal of argumentation mining, an evolving research field in computational
linguistics, is to design methods capable of analyzing people's argumentation.
In this article, we go beyond the state of the art in several ways. (i) We deal
with actual Web data and take up the challenges given by the variety of registers,
multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We
bridge the gap between normative argumentation theories and argumentation phenomena
encountered in actual data by adapting an argumentation model tested in an extensive
annotation study. (iii) We create a new gold standard corpus (90k tokens in 340
documents) and experiment with several machine learning methods to identify argument
components. We offer the data, source codes, and annotation guidelines to the
community under free licenses. Our findings show that argumentation mining in
user-generated Web discourse is a feasible but challenging task.
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: Habernal I, Gurevych I. Argumentation Mining in User-Generated Web Discourse.
Computational Linguistics. 2016;43(1):125-179. doi:10.1162/coli_a_00276
apa: Habernal, I., & Gurevych, I. (2016). Argumentation Mining in User-Generated
Web Discourse. Computational Linguistics, 43(1), 125–179. https://doi.org/10.1162/coli_a_00276
bibtex: '@article{Habernal_Gurevych_2016, title={Argumentation Mining in User-Generated
Web Discourse}, volume={43}, DOI={10.1162/coli_a_00276},
number={1}, journal={Computational Linguistics}, publisher={MIT Press}, author={Habernal,
Ivan and Gurevych, Iryna}, year={2016}, pages={125–179} }'
chicago: 'Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated
Web Discourse.” Computational Linguistics 43, no. 1 (2016): 125–79. https://doi.org/10.1162/coli_a_00276.'
ieee: 'I. Habernal and I. Gurevych, “Argumentation Mining in User-Generated Web
Discourse,” Computational Linguistics, vol. 43, no. 1, pp. 125–179, 2016,
doi: 10.1162/coli_a_00276.'
mla: Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated
Web Discourse.” Computational Linguistics, vol. 43, no. 1, MIT Press, 2016,
pp. 125–79, doi:10.1162/coli_a_00276.
short: I. Habernal, I. Gurevych, Computational Linguistics 43 (2016) 125–179.
date_created: 2023-10-19T08:30:44Z
date_updated: 2023-10-19T12:08:00Z
department:
- _id: '34'
- _id: '820'
doi: 10.1162/coli_a_00276
intvolume: ' 43'
issue: '1'
keyword:
- Artificial Intelligence
- Computer Science Applications
- Linguistics and Language
- Language and Linguistics
language:
- iso: eng
page: 125-179
publication: Computational Linguistics
publication_identifier:
issn:
- 0891-2017
- 1530-9312
publication_status: published
publisher: MIT Press
status: public
title: Argumentation Mining in User-Generated Web Discourse
type: journal_article
user_id: '15504'
volume: 43
year: '2016'
...
---
_id: '48308'
alternative_title:
- Focused Retrieval Over the Web
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Maria
full_name: Sukhareva, Maria
last_name: Sukhareva
- first_name: Fiana
full_name: Raiber, Fiana
last_name: Raiber
- first_name: Anna
full_name: Shtok, Anna
last_name: Shtok
- first_name: Oren
full_name: Kurland, Oren
last_name: Kurland
- first_name: Hadar
full_name: Ronen, Hadar
last_name: Ronen
- first_name: Judit
full_name: Bar-Ilan, Judit
last_name: Bar-Ilan
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: 'Habernal I, Sukhareva M, Raiber F, et al. New Collection Announcement. In:
Proceedings of the 39th International ACM SIGIR Conference on Research and
Development in Information Retrieval. ACM; 2016. doi:10.1145/2911451.2914682'
apa: Habernal, I., Sukhareva, M., Raiber, F., Shtok, A., Kurland, O., Ronen, H.,
Bar-Ilan, J., & Gurevych, I. (2016). New Collection Announcement. Proceedings
of the 39th International ACM SIGIR Conference on Research and Development in
Information Retrieval. https://doi.org/10.1145/2911451.2914682
bibtex: '@inproceedings{Habernal_Sukhareva_Raiber_Shtok_Kurland_Ronen_Bar-Ilan_Gurevych_2016,
title={New Collection Announcement}, DOI={10.1145/2911451.2914682},
booktitle={Proceedings of the 39th International ACM SIGIR conference on Research
and Development in Information Retrieval}, publisher={ACM}, author={Habernal,
Ivan and Sukhareva, Maria and Raiber, Fiana and Shtok, Anna and Kurland, Oren
and Ronen, Hadar and Bar-Ilan, Judit and Gurevych, Iryna}, year={2016} }'
chicago: Habernal, Ivan, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland,
Hadar Ronen, Judit Bar-Ilan, and Iryna Gurevych. “New Collection Announcement.”
In Proceedings of the 39th International ACM SIGIR Conference on Research and
Development in Information Retrieval. ACM, 2016. https://doi.org/10.1145/2911451.2914682.
ieee: 'I. Habernal et al., “New Collection Announcement,” 2016, doi: 10.1145/2911451.2914682.'
mla: Habernal, Ivan, et al. “New Collection Announcement.” Proceedings of the
39th International ACM SIGIR Conference on Research and Development in Information
Retrieval, ACM, 2016, doi:10.1145/2911451.2914682.
short: 'I. Habernal, M. Sukhareva, F. Raiber, A. Shtok, O. Kurland, H. Ronen, J.
Bar-Ilan, I. Gurevych, in: Proceedings of the 39th International ACM SIGIR Conference
on Research and Development in Information Retrieval, ACM, 2016.'
date_created: 2023-10-19T08:31:35Z
date_updated: 2023-10-19T12:07:25Z
department:
- _id: '34'
- _id: '820'
doi: 10.1145/2911451.2914682
language:
- iso: eng
publication: Proceedings of the 39th International ACM SIGIR conference on Research
and Development in Information Retrieval
publication_status: published
publisher: ACM
status: public
title: New Collection Announcement
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '48307'
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
- first_name: Iryna
full_name: Gurevych, Iryna
last_name: Gurevych
citation:
ama: 'Habernal I, Gurevych I. Which argument is more convincing? Analyzing and predicting
convincingness of Web arguments using bidirectional LSTM. In: Proceedings of
the 54th Annual Meeting of the Association for Computational Linguistics (Volume
1: Long Papers). Association for Computational Linguistics; 2016. doi:10.18653/v1/p16-1150'
apa: 'Habernal, I., & Gurevych, I. (2016). Which argument is more convincing?
Analyzing and predicting convincingness of Web arguments using bidirectional LSTM.
Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/p16-1150'
bibtex: '@inproceedings{Habernal_Gurevych_2016, title={Which argument is more convincing?
Analyzing and predicting convincingness of Web arguments using bidirectional LSTM},
DOI={10.18653/v1/p16-1150},
booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers)}, publisher={Association for Computational
Linguistics}, author={Habernal, Ivan and Gurevych, Iryna}, year={2016} }'
chicago: 'Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing?
Analyzing and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.”
In Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers). Association for Computational Linguistics,
2016. https://doi.org/10.18653/v1/p16-1150.'
ieee: 'I. Habernal and I. Gurevych, “Which argument is more convincing? Analyzing
and predicting convincingness of Web arguments using bidirectional LSTM,” 2016,
doi: 10.18653/v1/p16-1150.'
mla: 'Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing? Analyzing
and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.” Proceedings
of the 54th Annual Meeting of the Association for Computational Linguistics (Volume
1: Long Papers), Association for Computational Linguistics, 2016, doi:10.18653/v1/p16-1150.'
short: 'I. Habernal, I. Gurevych, in: Proceedings of the 54th Annual Meeting of
the Association for Computational Linguistics (Volume 1: Long Papers), Association
for Computational Linguistics, 2016.'
date_created: 2023-10-19T08:31:11Z
date_updated: 2023-10-19T12:07:44Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/p16-1150
language:
- iso: eng
publication: 'Proceedings of the 54th Annual Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: Which argument is more convincing? Analyzing and predicting convincingness
of Web arguments using bidirectional LSTM
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '46364'
abstract:
- lang: eng
text: Automated algorithm configuration procedures play an increasingly important
role in the development and application of algorithms for a wide range of computationally
challenging problems. Until very recently, these configuration procedures were
limited to optimising a single performance objective, such as the running time
or solution quality achieved by the algorithm being configured. However, in many
applications there is more than one performance objective of interest. This gives
rise to the multi-objective automatic algorithm configuration problem, which involves
finding a Pareto set of configurations of a given target algorithm that characterises
trade-offs between multiple performance objectives. In this work, we introduce
MO-ParamILS, a multi-objective extension of the state-of-the-art single-objective
algorithm configuration framework ParamILS, and demonstrate that it produces good
results on several challenging bi-objective algorithm configuration scenarios
compared to a base-line obtained from using a state-of-the-art single-objective
algorithm configurator.
author:
- first_name: A
full_name: Blot, A
last_name: Blot
- first_name: H
full_name: Hoos, H
last_name: Hoos
- first_name: L
full_name: Jourdan, L
last_name: Jourdan
- first_name: M
full_name: Marmion, M
last_name: Marmion
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Blot A, Hoos H, Jourdan L, Marmion M, Trautmann H. MO-ParamILS: A Multi-objective
Automatic Algorithm Configuration Framework. In: et al. Joaquin V, ed. LION
2016: Learning and Intelligent Optimization. Vol 10079. LNTCS. Springer International
Publishing; 2016:32–47. doi:10.1007/978-3-319-50349-3_3'
apa: 'Blot, A., Hoos, H., Jourdan, L., Marmion, M., & Trautmann, H. (2016).
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. In
V. et al. Joaquin (Ed.), LION 2016: Learning and Intelligent Optimization
(Vol. 10079, pp. 32–47). Springer International Publishing. https://doi.org/10.1007/978-3-319-50349-3_3'
bibtex: '@inproceedings{Blot_Hoos_Jourdan_Marmion_Trautmann_2016, place={Cham},
series={LNTCS}, title={MO-ParamILS: A Multi-objective Automatic Algorithm Configuration
Framework}, volume={10079}, DOI={10.1007/978-3-319-50349-3_3},
booktitle={LION 2016: Learning and Intelligent Optimization}, publisher={Springer
International Publishing}, author={Blot, A and Hoos, H and Jourdan, L and Marmion,
M and Trautmann, Heike}, editor={et al. Joaquin, Vanschooren}, year={2016}, pages={32–47},
collection={LNTCS} }'
chicago: 'Blot, A, H Hoos, L Jourdan, M Marmion, and Heike Trautmann. “MO-ParamILS:
A Multi-Objective Automatic Algorithm Configuration Framework.” In LION 2016:
Learning and Intelligent Optimization, edited by Vanschooren et al. Joaquin,
10079:32–47. LNTCS. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_3.'
ieee: 'A. Blot, H. Hoos, L. Jourdan, M. Marmion, and H. Trautmann, “MO-ParamILS:
A Multi-objective Automatic Algorithm Configuration Framework,” in LION 2016:
Learning and Intelligent Optimization, 2016, vol. 10079, pp. 32–47, doi: 10.1007/978-3-319-50349-3_3.'
mla: 'Blot, A., et al. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration
Framework.” LION 2016: Learning and Intelligent Optimization, edited by
Vanschooren et al. Joaquin, vol. 10079, Springer International Publishing, 2016,
pp. 32–47, doi:10.1007/978-3-319-50349-3_3.'
short: 'A. Blot, H. Hoos, L. Jourdan, M. Marmion, H. Trautmann, in: V. et al. Joaquin
(Ed.), LION 2016: Learning and Intelligent Optimization, Springer International
Publishing, Cham, 2016, pp. 32–47.'
date_created: 2023-08-04T15:10:09Z
date_updated: 2023-10-16T13:37:50Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-319-50349-3_3
editor:
- first_name: Vanschooren
full_name: et al. Joaquin, Vanschooren
last_name: et al. Joaquin
intvolume: ' 10079'
language:
- iso: eng
page: 32–47
place: Cham
publication: 'LION 2016: Learning and Intelligent Optimization'
publisher: Springer International Publishing
series_title: LNTCS
status: public
title: 'MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework'
type: conference
user_id: '15504'
volume: 10079
year: '2016'
...