---
_id: '14829'
citation:
ama: Scheideler C, Berenbrink P, eds. The 31st ACM Symposium on Parallelism in
Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019.
ACM; 2019. doi:10.1145/3323165
apa: Scheideler, C., & Berenbrink, P. (Eds.). (2019). The 31st ACM Symposium
on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June
22-24, 2019. ACM. https://doi.org/10.1145/3323165
bibtex: '@book{Scheideler_Berenbrink_2019, title={The 31st ACM Symposium on Parallelism
in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019},
DOI={10.1145/3323165}, publisher={ACM},
year={2019} }'
chicago: Scheideler, Christian, and Petra Berenbrink, eds. The 31st ACM Symposium
on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June
22-24, 2019. ACM, 2019. https://doi.org/10.1145/3323165.
ieee: C. Scheideler and P. Berenbrink, Eds., The 31st ACM Symposium on Parallelism
in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019.
ACM, 2019.
mla: Scheideler, Christian, and Petra Berenbrink, editors. The 31st ACM Symposium
on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June
22-24, 2019. ACM, 2019, doi:10.1145/3323165.
short: C. Scheideler, P. Berenbrink, eds., The 31st ACM Symposium on Parallelism
in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019,
ACM, 2019.
date_created: 2019-11-06T10:43:41Z
date_updated: 2022-01-06T06:52:07Z
department:
- _id: '79'
doi: 10.1145/3323165
editor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
- first_name: Petra
full_name: Berenbrink, Petra
last_name: Berenbrink
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '5'
name: SFB 901 - Subproject A1
publication_identifier:
isbn:
- 978-1-4503-6184-2
publisher: ACM
status: public
title: The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA
2019, Phoenix, AZ, USA, June 22-24, 2019
type: conference_editor
user_id: '477'
year: '2019'
...
---
_id: '14830'
author:
- first_name: Robert
full_name: Gmyr, Robert
last_name: Gmyr
- first_name: Jonas
full_name: Lefevre, Jonas
last_name: Lefevre
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
citation:
ama: Gmyr R, Lefevre J, Scheideler C. Self-Stabilizing Metric Graphs. Theory
Comput Syst. 2019;63(2):177-199. doi:10.1007/s00224-017-9823-4
apa: Gmyr, R., Lefevre, J., & Scheideler, C. (2019). Self-Stabilizing Metric
Graphs. Theory Comput. Syst., 63(2), 177–199. https://doi.org/10.1007/s00224-017-9823-4
bibtex: '@article{Gmyr_Lefevre_Scheideler_2019, title={Self-Stabilizing Metric Graphs},
volume={63}, DOI={10.1007/s00224-017-9823-4},
number={2}, journal={Theory Comput. Syst.}, author={Gmyr, Robert and Lefevre,
Jonas and Scheideler, Christian}, year={2019}, pages={177–199} }'
chicago: 'Gmyr, Robert, Jonas Lefevre, and Christian Scheideler. “Self-Stabilizing
Metric Graphs.” Theory Comput. Syst. 63, no. 2 (2019): 177–99. https://doi.org/10.1007/s00224-017-9823-4.'
ieee: R. Gmyr, J. Lefevre, and C. Scheideler, “Self-Stabilizing Metric Graphs,”
Theory Comput. Syst., vol. 63, no. 2, pp. 177–199, 2019.
mla: Gmyr, Robert, et al. “Self-Stabilizing Metric Graphs.” Theory Comput. Syst.,
vol. 63, no. 2, 2019, pp. 177–99, doi:10.1007/s00224-017-9823-4.
short: R. Gmyr, J. Lefevre, C. Scheideler, Theory Comput. Syst. 63 (2019) 177–199.
date_created: 2019-11-06T10:54:58Z
date_updated: 2022-01-06T06:52:07Z
department:
- _id: '79'
doi: 10.1007/s00224-017-9823-4
intvolume: ' 63'
issue: '2'
language:
- iso: eng
page: 177-199
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '13'
name: SFB 901 - Subproject C1
publication: Theory Comput. Syst.
status: public
title: Self-Stabilizing Metric Graphs
type: journal_article
user_id: '15504'
volume: 63
year: '2019'
...
---
_id: '14831'
author:
- first_name: Nithin S.
full_name: Sabu, Nithin S.
last_name: Sabu
citation:
ama: Sabu NS. FPGA Acceleration of String Search Techniques in Huge Data Sets.
Paderborn University; 2019.
apa: Sabu, N. S. (2019). FPGA Acceleration of String Search Techniques in Huge
Data Sets. Paderborn University.
bibtex: '@book{Sabu_2019, title={FPGA Acceleration of String Search Techniques in
Huge Data Sets}, publisher={Paderborn University}, author={Sabu, Nithin S.}, year={2019}
}'
chicago: Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge
Data Sets. Paderborn University, 2019.
ieee: N. S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data
Sets. Paderborn University, 2019.
mla: Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge Data
Sets. Paderborn University, 2019.
short: N.S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data Sets,
Paderborn University, 2019.
date_created: 2019-11-06T12:06:09Z
date_updated: 2022-01-06T06:52:07Z
department:
- _id: '78'
language:
- iso: eng
publisher: Paderborn University
status: public
supervisor:
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Stefan
full_name: Böttcher, Stefan
last_name: Böttcher
- first_name: Tobias
full_name: Wiersema, Tobias
id: '3118'
last_name: Wiersema
title: FPGA Acceleration of String Search Techniques in Huge Data Sets
type: mastersthesis
user_id: '3118'
year: '2019'
...
---
_id: '14849'
author:
- first_name: Gavin Francis
full_name: Vaz, Gavin Francis
id: '30332'
last_name: Vaz
citation:
ama: Vaz GF. Using Just-in-Time Code Generation to Transparently Accelerate Applications
in Heterogeneous Systems. Universität Paderborn; 2019.
apa: Vaz, G. F. (2019). Using Just-in-Time Code Generation to Transparently Accelerate
Applications in Heterogeneous Systems. Universität Paderborn.
bibtex: '@book{Vaz_2019, title={Using Just-in-Time Code Generation to Transparently
Accelerate Applications in Heterogeneous Systems}, publisher={Universität Paderborn},
author={Vaz, Gavin Francis}, year={2019} }'
chicago: Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently
Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
ieee: G. F. Vaz, Using Just-in-Time Code Generation to Transparently Accelerate
Applications in Heterogeneous Systems. Universität Paderborn, 2019.
mla: Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently
Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
short: G.F. Vaz, Using Just-in-Time Code Generation to Transparently Accelerate
Applications in Heterogeneous Systems, Universität Paderborn, 2019.
date_created: 2019-11-07T14:13:54Z
date_updated: 2022-01-06T06:52:08Z
ddc:
- '040'
department:
- _id: '518'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2019-11-07T14:13:14Z
date_updated: 2019-11-07T14:13:14Z
file_id: '14850'
file_name: PhDThesis_GavinVaz_2019-07-11.pdf
file_size: 1462659
relation: main_file
success: 1
file_date_updated: 2019-11-07T14:13:14Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '14'
name: SFB 901 - Subproject C2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
title: Using Just-in-Time Code Generation to Transparently Accelerate Applications
in Heterogeneous Systems
type: dissertation
user_id: '477'
year: '2019'
...
---
_id: '14851'
author:
- first_name: Alexander
full_name: Mäcker, Alexander
id: '13536'
last_name: Mäcker
citation:
ama: Mäcker A. On Scheduling with Setup Times. Universität Paderborn; 2019.
doi:10.17619/UNIPB/1-828
apa: Mäcker, A. (2019). On Scheduling with Setup Times. Universität Paderborn.
https://doi.org/10.17619/UNIPB/1-828
bibtex: '@book{Mäcker_2019, place={Universität Paderborn}, title={On Scheduling
with Setup Times}, DOI={10.17619/UNIPB/1-828},
author={Mäcker, Alexander}, year={2019} }'
chicago: Mäcker, Alexander. On Scheduling with Setup Times. Universität Paderborn,
2019. https://doi.org/10.17619/UNIPB/1-828.
ieee: A. Mäcker, On Scheduling with Setup Times. Universität Paderborn, 2019.
mla: Mäcker, Alexander. On Scheduling with Setup Times. 2019, doi:10.17619/UNIPB/1-828.
short: A. Mäcker, On Scheduling with Setup Times, Universität Paderborn, 2019.
date_created: 2019-11-07T14:17:05Z
date_updated: 2022-01-06T06:52:08Z
ddc:
- '000'
department:
- _id: '63'
doi: 10.17619/UNIPB/1-828
language:
- iso: eng
place: Universität Paderborn
project:
- _id: '1'
name: SFB 901
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '4'
name: SFB 901 - Project Area C
related_material:
link:
- relation: confirmation
url: https://doi.org/10.17619/UNIPB/1-828
status: public
supervisor:
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
title: On Scheduling with Setup Times
type: dissertation
user_id: '15415'
year: '2019'
...
---
_id: '14896'
author:
- first_name: Andreas
full_name: Dann, Andreas
last_name: Dann
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Dann A, Hermann B, Bodden E. ModGuard: Identifying Integrity &Confidentiality
Violations in Java Modules. IEEE Transactions on Software Engineering.
Published online 2019:1-1. doi:10.1109/tse.2019.2931331'
apa: 'Dann, A., Hermann, B., & Bodden, E. (2019). ModGuard: Identifying Integrity
&Confidentiality Violations in Java Modules. IEEE Transactions on Software
Engineering, 1–1. https://doi.org/10.1109/tse.2019.2931331'
bibtex: '@article{Dann_Hermann_Bodden_2019, title={ModGuard: Identifying Integrity
&Confidentiality Violations in Java Modules}, DOI={10.1109/tse.2019.2931331},
journal={IEEE Transactions on Software Engineering}, author={Dann, Andreas and
Hermann, Ben and Bodden, Eric}, year={2019}, pages={1–1} }'
chicago: 'Dann, Andreas, Ben Hermann, and Eric Bodden. “ModGuard: Identifying Integrity
&Confidentiality Violations in Java Modules.” IEEE Transactions on Software
Engineering, 2019, 1–1. https://doi.org/10.1109/tse.2019.2931331.'
ieee: 'A. Dann, B. Hermann, and E. Bodden, “ModGuard: Identifying Integrity &Confidentiality
Violations in Java Modules,” IEEE Transactions on Software Engineering,
pp. 1–1, 2019, doi: 10.1109/tse.2019.2931331.'
mla: 'Dann, Andreas, et al. “ModGuard: Identifying Integrity &Confidentiality
Violations in Java Modules.” IEEE Transactions on Software Engineering,
2019, pp. 1–1, doi:10.1109/tse.2019.2931331.'
short: A. Dann, B. Hermann, E. Bodden, IEEE Transactions on Software Engineering
(2019) 1–1.
date_created: 2019-11-12T12:20:56Z
date_updated: 2022-01-06T06:52:10Z
department:
- _id: '76'
- _id: '34'
- _id: '26'
doi: 10.1109/tse.2019.2931331
language:
- iso: eng
page: 1-1
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '12'
name: SFB 901 - Subproject B4
publication: IEEE Transactions on Software Engineering
publication_identifier:
issn:
- 0098-5589
- 1939-3520
- 2326-3881
publication_status: published
status: public
title: 'ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules'
type: journal_article
user_id: '5786'
year: '2019'
...
---
_id: '14897'
author:
- first_name: Andreas
full_name: Dann, Andreas
last_name: Dann
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Dann A, Hermann B, Bodden E. SootDiff: bytecode comparison across different
Java compilers. In: Proceedings of the 8th ACM SIGPLAN International Workshop
on State Of the Art in Program Analysis - SOAP 2019. ; 2019. doi:10.1145/3315568.3329966'
apa: 'Dann, A., Hermann, B., & Bodden, E. (2019). SootDiff: bytecode comparison
across different Java compilers. Proceedings of the 8th ACM SIGPLAN International
Workshop on State Of the Art in Program Analysis - SOAP 2019. https://doi.org/10.1145/3315568.3329966'
bibtex: '@inproceedings{Dann_Hermann_Bodden_2019, title={SootDiff: bytecode comparison
across different Java compilers}, DOI={10.1145/3315568.3329966},
booktitle={Proceedings of the 8th ACM SIGPLAN International Workshop on State
Of the Art in Program Analysis - SOAP 2019}, author={Dann, Andreas and Hermann,
Ben and Bodden, Eric}, year={2019} }'
chicago: 'Dann, Andreas, Ben Hermann, and Eric Bodden. “SootDiff: Bytecode Comparison
across Different Java Compilers.” In Proceedings of the 8th ACM SIGPLAN International
Workshop on State Of the Art in Program Analysis - SOAP 2019, 2019. https://doi.org/10.1145/3315568.3329966.'
ieee: 'A. Dann, B. Hermann, and E. Bodden, “SootDiff: bytecode comparison across
different Java compilers,” 2019, doi: 10.1145/3315568.3329966.'
mla: 'Dann, Andreas, et al. “SootDiff: Bytecode Comparison across Different Java
Compilers.” Proceedings of the 8th ACM SIGPLAN International Workshop on State
Of the Art in Program Analysis - SOAP 2019, 2019, doi:10.1145/3315568.3329966.'
short: 'A. Dann, B. Hermann, E. Bodden, in: Proceedings of the 8th ACM SIGPLAN International
Workshop on State Of the Art in Program Analysis - SOAP 2019, 2019.'
date_created: 2019-11-12T12:21:11Z
date_updated: 2022-01-06T06:52:10Z
department:
- _id: '76'
- _id: '34'
- _id: '26'
doi: 10.1145/3315568.3329966
language:
- iso: eng
main_file_link:
- url: https://thewhitespace.de/publications/dhb19-sootdiff.pdf
publication: Proceedings of the 8th ACM SIGPLAN International Workshop on State Of
the Art in Program Analysis - SOAP 2019
publication_identifier:
isbn:
- '9781450367202'
publication_status: published
status: public
title: 'SootDiff: bytecode comparison across different Java compilers'
type: conference
user_id: '5786'
year: '2019'
...
---
_id: '14899'
author:
- first_name: Stefan
full_name: Kruger, Stefan
last_name: Kruger
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
citation:
ama: 'Kruger S, Hermann B. Can an Online Service Predict Gender? On the State-of-the-Art
in Gender Identification from Texts. In: 2019 IEEE/ACM 2nd International Workshop
on Gender Equality in Software Engineering (GE). ; 2019. doi:10.1109/ge.2019.00012'
apa: Kruger, S., & Hermann, B. (2019). Can an Online Service Predict Gender?
On the State-of-the-Art in Gender Identification from Texts. 2019 IEEE/ACM
2nd International Workshop on Gender Equality in Software Engineering (GE).
https://doi.org/10.1109/ge.2019.00012
bibtex: '@inproceedings{Kruger_Hermann_2019, title={Can an Online Service Predict
Gender? On the State-of-the-Art in Gender Identification from Texts}, DOI={10.1109/ge.2019.00012}, booktitle={2019
IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering
(GE)}, author={Kruger, Stefan and Hermann, Ben}, year={2019} }'
chicago: Kruger, Stefan, and Ben Hermann. “Can an Online Service Predict Gender?
On the State-of-the-Art in Gender Identification from Texts.” In 2019 IEEE/ACM
2nd International Workshop on Gender Equality in Software Engineering (GE),
2019. https://doi.org/10.1109/ge.2019.00012.
ieee: 'S. Kruger and B. Hermann, “Can an Online Service Predict Gender? On the State-of-the-Art
in Gender Identification from Texts,” 2019, doi: 10.1109/ge.2019.00012.'
mla: Kruger, Stefan, and Ben Hermann. “Can an Online Service Predict Gender? On
the State-of-the-Art in Gender Identification from Texts.” 2019 IEEE/ACM 2nd
International Workshop on Gender Equality in Software Engineering (GE), 2019,
doi:10.1109/ge.2019.00012.
short: 'S. Kruger, B. Hermann, in: 2019 IEEE/ACM 2nd International Workshop on Gender
Equality in Software Engineering (GE), 2019.'
date_created: 2019-11-12T12:22:48Z
date_updated: 2022-01-06T06:52:10Z
department:
- _id: '76'
- _id: '34'
- _id: '26'
doi: 10.1109/ge.2019.00012
language:
- iso: eng
publication: 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software
Engineering (GE)
publication_identifier:
isbn:
- '9781728122458'
publication_status: published
status: public
title: Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification
from Texts
type: conference
user_id: '5786'
year: '2019'
...
---
_id: '15001'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: Christian
full_name: Borgelt, Christian
last_name: Borgelt
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Rudolf
full_name: Kruse, Rudolf
last_name: Kruse
citation:
ama: 'Couso I, Borgelt C, Hüllermeier E, Kruse R. Fuzzy Sets in Data Analysis: From
Statistical Foundations to Machine Learning. IEEE Computational Intelligence
Magazine. 2019:31-44. doi:10.1109/mci.2018.2881642'
apa: 'Couso, I., Borgelt, C., Hüllermeier, E., & Kruse, R. (2019). Fuzzy Sets
in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational
Intelligence Magazine, 31–44. https://doi.org/10.1109/mci.2018.2881642'
bibtex: '@article{Couso_Borgelt_Hüllermeier_Kruse_2019, title={Fuzzy Sets in Data
Analysis: From Statistical Foundations to Machine Learning}, DOI={10.1109/mci.2018.2881642},
journal={IEEE Computational Intelligence Magazine}, author={Couso, Ines and Borgelt,
Christian and Hüllermeier, Eyke and Kruse, Rudolf}, year={2019}, pages={31–44}
}'
chicago: 'Couso, Ines, Christian Borgelt, Eyke Hüllermeier, and Rudolf Kruse. “Fuzzy
Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE
Computational Intelligence Magazine, 2019, 31–44. https://doi.org/10.1109/mci.2018.2881642.'
ieee: 'I. Couso, C. Borgelt, E. Hüllermeier, and R. Kruse, “Fuzzy Sets in Data Analysis:
From Statistical Foundations to Machine Learning,” IEEE Computational Intelligence
Magazine, pp. 31–44, 2019.'
mla: 'Couso, Ines, et al. “Fuzzy Sets in Data Analysis: From Statistical Foundations
to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, pp.
31–44, doi:10.1109/mci.2018.2881642.'
short: I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence
Magazine (2019) 31–44.
date_created: 2019-11-15T10:11:37Z
date_updated: 2022-01-06T06:52:13Z
department:
- _id: '34'
- _id: '355'
doi: 10.1109/mci.2018.2881642
language:
- iso: eng
page: 31-44
publication: IEEE Computational Intelligence Magazine
publication_identifier:
issn:
- 1556-603X
- 1556-6048
publication_status: published
status: public
title: 'Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning'
type: journal_article
user_id: '315'
year: '2019'
...
---
_id: '15002'
abstract:
- lang: eng
text: Many problem settings in machine learning are concerned with the simultaneous
prediction of multiple target variables of diverse type. Amongst others, such
problem settings arise in multivariate regression, multi-label classification,
multi-task learning, dyadic prediction, zero-shot learning, network inference,
and matrix completion. These subfields of machine learning are typically studied
in isolation, without highlighting or exploring important relationships. In this
paper, we present a unifying view on what we call multi-target prediction (MTP)
problems and methods. First, we formally discuss commonalities and differences
between existing MTP problems. To this end, we introduce a general framework that
covers the above subfields as special cases. As a second contribution, we provide
a structured overview of MTP methods. This is accomplished by identifying a number
of key properties, which distinguish such methods and determine their suitability
for different types of problems. Finally, we also discuss a few challenges for
future research.
author:
- first_name: Willem
full_name: Waegeman, Willem
last_name: Waegeman
- first_name: Krzysztof
full_name: Dembczynski, Krzysztof
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Waegeman W, Dembczynski K, Hüllermeier E. Multi-target prediction: a unifying
view on problems and methods. Data Mining and Knowledge Discovery. 2019;33(2):293-324.
doi:10.1007/s10618-018-0595-5'
apa: 'Waegeman, W., Dembczynski, K., & Hüllermeier, E. (2019). Multi-target
prediction: a unifying view on problems and methods. Data Mining and Knowledge
Discovery, 33(2), 293–324. https://doi.org/10.1007/s10618-018-0595-5'
bibtex: '@article{Waegeman_Dembczynski_Hüllermeier_2019, title={Multi-target prediction:
a unifying view on problems and methods}, volume={33}, DOI={10.1007/s10618-018-0595-5},
number={2}, journal={Data Mining and Knowledge Discovery}, author={Waegeman, Willem
and Dembczynski, Krzysztof and Hüllermeier, Eyke}, year={2019}, pages={293–324}
}'
chicago: 'Waegeman, Willem, Krzysztof Dembczynski, and Eyke Hüllermeier. “Multi-Target
Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge
Discovery 33, no. 2 (2019): 293–324. https://doi.org/10.1007/s10618-018-0595-5.'
ieee: 'W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction:
a unifying view on problems and methods,” Data Mining and Knowledge Discovery,
vol. 33, no. 2, pp. 293–324, 2019.'
mla: 'Waegeman, Willem, et al. “Multi-Target Prediction: A Unifying View on Problems
and Methods.” Data Mining and Knowledge Discovery, vol. 33, no. 2, 2019,
pp. 293–324, doi:10.1007/s10618-018-0595-5.'
short: W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery
33 (2019) 293–324.
date_created: 2019-11-15T10:16:34Z
date_updated: 2022-01-06T06:52:14Z
ddc:
- '000'
department:
- _id: '34'
- _id: '355'
doi: 10.1007/s10618-018-0595-5
file:
- access_level: open_access
content_type: application/pdf
creator: lettmann
date_created: 2020-02-28T12:43:39Z
date_updated: 2020-02-28T12:45:26Z
file_id: '16155'
file_name: multi-target-prediction.pdf
file_size: 837808
relation: main_file
file_date_updated: 2020-02-28T12:45:26Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '2'
language:
- iso: eng
oa: '1'
page: 293-324
publication: Data Mining and Knowledge Discovery
publication_identifier:
issn:
- 1573-756X
status: public
title: 'Multi-target prediction: a unifying view on problems and methods'
type: journal_article
user_id: '315'
volume: 33
year: '2019'
...
---
_id: '15003'
author:
- first_name: Thomas
full_name: Mortier, Thomas
last_name: Mortier
- first_name: Marek
full_name: Wydmuch, Marek
last_name: Wydmuch
- first_name: Krzysztof
full_name: Dembczynski, Krzysztof
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Willem
full_name: Waegeman, Willem
last_name: Waegeman
citation:
ama: 'Mortier T, Wydmuch M, Dembczynski K, Hüllermeier E, Waegeman W. Set-Valued
Prediction in Multi-Class Classification. In: Proceedings of the 31st Benelux
Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch
Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8,
2019. ; 2019.'
apa: Mortier, T., Wydmuch, M., Dembczynski, K., Hüllermeier, E., & Waegeman,
W. (2019). Set-Valued Prediction in Multi-Class Classification. In Proceedings
of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the
28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels,
Belgium, November 6-8, 2019.
bibtex: '@inproceedings{Mortier_Wydmuch_Dembczynski_Hüllermeier_Waegeman_2019, title={Set-Valued
Prediction in Multi-Class Classification}, booktitle={Proceedings of the 31st
Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian
Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November
6-8, 2019}, author={Mortier, Thomas and Wydmuch, Marek and Dembczynski, Krzysztof
and Hüllermeier, Eyke and Waegeman, Willem}, year={2019} }'
chicago: Mortier, Thomas, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier,
and Willem Waegeman. “Set-Valued Prediction in Multi-Class Classification.” In
Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC}
2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019),
Brussels, Belgium, November 6-8, 2019, 2019.
ieee: T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, and W. Waegeman, “Set-Valued
Prediction in Multi-Class Classification,” in Proceedings of the 31st Benelux
Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch
Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8,
2019, 2019.
mla: Mortier, Thomas, et al. “Set-Valued Prediction in Multi-Class Classification.”
Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC}
2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019),
Brussels, Belgium, November 6-8, 2019, 2019.
short: 'T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, W. Waegeman, in:
Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC}
2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019),
Brussels, Belgium, November 6-8, 2019, 2019.'
date_created: 2019-11-15T10:20:55Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
language:
- iso: eng
publication: Proceedings of the 31st Benelux Conference on Artificial Intelligence
{(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn
2019), Brussels, Belgium, November 6-8, 2019
status: public
title: Set-Valued Prediction in Multi-Class Classification
type: conference
user_id: '315'
year: '2019'
...
---
_id: '15004'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
id: '59547'
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E. Feature Selection for Analogy-Based Learning
to Rank. In: Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_22'
apa: Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Feature Selection for Analogy-Based
Learning to Rank. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_22
bibtex: '@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Feature
Selection for Analogy-Based Learning to Rank}, DOI={10.1007/978-3-030-33778-0_22},
booktitle={Discovery Science}, author={Ahmadi Fahandar, Mohsen and Hüllermeier,
Eyke}, year={2019} }'
chicago: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based
Learning to Rank.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_22.
ieee: M. Ahmadi Fahandar and E. Hüllermeier, “Feature Selection for Analogy-Based
Learning to Rank,” in Discovery Science, Cham, 2019.
mla: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based
Learning to Rank.” Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_22.
short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.'
date_created: 2019-11-15T10:24:45Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-030-33778-0_22
language:
- iso: eng
place: Cham
publication: Discovery Science
publication_identifier:
isbn:
- '9783030337773'
- '9783030337780'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Feature Selection for Analogy-Based Learning to Rank
type: book_chapter
user_id: '315'
year: '2019'
...
---
_id: '15005'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
id: '59547'
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E. Analogy-Based Preference Learning with Kernels.
In: KI 2019: Advances in Artificial Intelligence. Cham; 2019. doi:10.1007/978-3-030-30179-8_3'
apa: 'Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Analogy-Based Preference
Learning with Kernels. In KI 2019: Advances in Artificial Intelligence.
Cham. https://doi.org/10.1007/978-3-030-30179-8_3'
bibtex: '@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Analogy-Based
Preference Learning with Kernels}, DOI={10.1007/978-3-030-30179-8_3},
booktitle={KI 2019: Advances in Artificial Intelligence}, author={Ahmadi Fahandar,
Mohsen and Hüllermeier, Eyke}, year={2019} }'
chicago: 'Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference
Learning with Kernels.” In KI 2019: Advances in Artificial Intelligence.
Cham, 2019. https://doi.org/10.1007/978-3-030-30179-8_3.'
ieee: 'M. Ahmadi Fahandar and E. Hüllermeier, “Analogy-Based Preference Learning
with Kernels,” in KI 2019: Advances in Artificial Intelligence, Cham, 2019.'
mla: 'Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning
with Kernels.” KI 2019: Advances in Artificial Intelligence, 2019, doi:10.1007/978-3-030-30179-8_3.'
short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial
Intelligence, Cham, 2019.'
date_created: 2019-11-15T10:30:10Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-030-30179-8_3
language:
- iso: eng
place: Cham
publication: 'KI 2019: Advances in Artificial Intelligence'
publication_identifier:
isbn:
- '9783030301781'
- '9783030301798'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Analogy-Based Preference Learning with Kernels
type: book_chapter
user_id: '315'
year: '2019'
...
---
_id: '15006'
author:
- first_name: Vu-Linh
full_name: Nguyen, Vu-Linh
last_name: Nguyen
- first_name: Sébastien
full_name: Destercke, Sébastien
last_name: Destercke
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Nguyen V-L, Destercke S, Hüllermeier E. Epistemic Uncertainty Sampling. In:
Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_7'
apa: Nguyen, V.-L., Destercke, S., & Hüllermeier, E. (2019). Epistemic Uncertainty
Sampling. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_7
bibtex: '@inbook{Nguyen_Destercke_Hüllermeier_2019, place={Cham}, title={Epistemic
Uncertainty Sampling}, DOI={10.1007/978-3-030-33778-0_7},
booktitle={Discovery Science}, author={Nguyen, Vu-Linh and Destercke, Sébastien
and Hüllermeier, Eyke}, year={2019} }'
chicago: Nguyen, Vu-Linh, Sébastien Destercke, and Eyke Hüllermeier. “Epistemic
Uncertainty Sampling.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_7.
ieee: V.-L. Nguyen, S. Destercke, and E. Hüllermeier, “Epistemic Uncertainty Sampling,”
in Discovery Science, Cham, 2019.
mla: Nguyen, Vu-Linh, et al. “Epistemic Uncertainty Sampling.” Discovery Science,
2019, doi:10.1007/978-3-030-33778-0_7.
short: 'V.-L. Nguyen, S. Destercke, E. Hüllermeier, in: Discovery Science, Cham,
2019.'
date_created: 2019-11-15T10:35:08Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-030-33778-0_7
language:
- iso: eng
place: Cham
publication: Discovery Science
publication_identifier:
isbn:
- '9783030337773'
- '9783030337780'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Epistemic Uncertainty Sampling
type: book_chapter
user_id: '49109'
year: '2019'
...
---
_id: '15007'
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: Tackling the Aggregation/Disaggregation
Problem for OWA. In: Proceedings ACML, Asian Conference on Machine Learning
(Proceedings of Machine Learning Research, 101). ; 2019. doi:10.1016/j.jmva.2019.02.017'
apa: 'Melnikov, V., & Hüllermeier, E. (2019). Learning to Aggregate: Tackling
the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian
Conference on Machine Learning (Proceedings of Machine Learning Research, 101).
https://doi.org/10.1016/j.jmva.2019.02.017'
bibtex: '@inproceedings{Melnikov_Hüllermeier_2019, title={Learning to Aggregate:
Tackling the Aggregation/Disaggregation Problem for OWA}, DOI={10.1016/j.jmva.2019.02.017},
booktitle={Proceedings ACML, Asian Conference on Machine Learning (Proceedings
of Machine Learning Research, 101)}, author={Melnikov, Vitaly and Hüllermeier,
Eyke}, year={2019} }'
chicago: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling
the Aggregation/Disaggregation Problem for OWA.” In Proceedings ACML, Asian
Conference on Machine Learning (Proceedings of Machine Learning Research, 101),
2019. https://doi.org/10.1016/j.jmva.2019.02.017.'
ieee: 'V. Melnikov and E. Hüllermeier, “Learning to Aggregate: Tackling the Aggregation/Disaggregation
Problem for OWA,” in Proceedings ACML, Asian Conference on Machine Learning
(Proceedings of Machine Learning Research, 101), 2019.'
mla: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the
Aggregation/Disaggregation Problem for OWA.” Proceedings ACML, Asian Conference
on Machine Learning (Proceedings of Machine Learning Research, 101), 2019,
doi:10.1016/j.jmva.2019.02.017.'
short: 'V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine
Learning (Proceedings of Machine Learning Research, 101), 2019.'
date_created: 2019-11-15T10:43:26Z
date_updated: 2022-01-06T06:52:14Z
ddc:
- '000'
department:
- _id: '34'
- _id: '355'
- _id: '7'
doi: 10.1016/j.jmva.2019.02.017
file:
- access_level: open_access
content_type: application/pdf
creator: lettmann
date_created: 2020-02-28T12:47:07Z
date_updated: 2020-02-28T12:47:07Z
file_id: '16156'
file_name: learning-to-aggregate-owa.pdf
file_size: 2331320
relation: main_file
file_date_updated: 2020-02-28T12:47:07Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
publication: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of
Machine Learning Research, 101)
publication_status: published
status: public
title: 'Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for
OWA'
type: conference
user_id: '477'
year: '2019'
...
---
_id: '15009'
author:
- first_name: Nico
full_name: Epple, Nico
last_name: Epple
- first_name: Simone
full_name: Dari, Simone
last_name: Dari
- first_name: Ludwig
full_name: Drees, Ludwig
last_name: Drees
- first_name: Valentin
full_name: Protschky, Valentin
last_name: Protschky
- first_name: Andreas
full_name: Riener, Andreas
last_name: Riener
citation:
ama: 'Epple N, Dari S, Drees L, Protschky V, Riener A. Influence of Cruise Control
on Driver Guidance - a Comparison between System Generations and Countries. In:
2019 IEEE Intelligent Vehicles Symposium (IV). ; 2019. doi:10.1109/ivs.2019.8814100'
apa: Epple, N., Dari, S., Drees, L., Protschky, V., & Riener, A. (2019). Influence
of Cruise Control on Driver Guidance - a Comparison between System Generations
and Countries. In 2019 IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/ivs.2019.8814100
bibtex: '@inproceedings{Epple_Dari_Drees_Protschky_Riener_2019, title={Influence
of Cruise Control on Driver Guidance - a Comparison between System Generations
and Countries}, DOI={10.1109/ivs.2019.8814100},
booktitle={2019 IEEE Intelligent Vehicles Symposium (IV)}, author={Epple, Nico
and Dari, Simone and Drees, Ludwig and Protschky, Valentin and Riener, Andreas},
year={2019} }'
chicago: Epple, Nico, Simone Dari, Ludwig Drees, Valentin Protschky, and Andreas
Riener. “Influence of Cruise Control on Driver Guidance - a Comparison between
System Generations and Countries.” In 2019 IEEE Intelligent Vehicles Symposium
(IV), 2019. https://doi.org/10.1109/ivs.2019.8814100.
ieee: N. Epple, S. Dari, L. Drees, V. Protschky, and A. Riener, “Influence of Cruise
Control on Driver Guidance - a Comparison between System Generations and Countries,”
in 2019 IEEE Intelligent Vehicles Symposium (IV), 2019.
mla: Epple, Nico, et al. “Influence of Cruise Control on Driver Guidance - a Comparison
between System Generations and Countries.” 2019 IEEE Intelligent Vehicles Symposium
(IV), 2019, doi:10.1109/ivs.2019.8814100.
short: 'N. Epple, S. Dari, L. Drees, V. Protschky, A. Riener, in: 2019 IEEE Intelligent
Vehicles Symposium (IV), 2019.'
date_created: 2019-11-15T10:54:04Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
doi: 10.1109/ivs.2019.8814100
language:
- iso: eng
publication: 2019 IEEE Intelligent Vehicles Symposium (IV)
publication_identifier:
isbn:
- '9781728105604'
publication_status: published
status: public
title: Influence of Cruise Control on Driver Guidance - a Comparison between System
Generations and Countries
type: conference
user_id: '315'
year: '2019'
...
---
_id: '15011'
author:
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Recommendation:
From Collaborative Filtering to Dyad Ranking. In: Hoffmann F, Hüllermeier E, Mikut
R, eds. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28.
- 29. November 2019. KIT Scientific Publishing, Karlsruhe; 2019:135-146.'
apa: 'Tornede, A., Wever, M. D., & Hüllermeier, E. (2019). Algorithm Selection
as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann,
E. Hüllermeier, & R. Mikut (Eds.), Proceedings - 29. Workshop Computational
Intelligence, Dortmund, 28. - 29. November 2019 (pp. 135–146). Dortmund: KIT
Scientific Publishing, Karlsruhe.'
bibtex: '@inproceedings{Tornede_Wever_Hüllermeier_2019, title={Algorithm Selection
as Recommendation: From Collaborative Filtering to Dyad Ranking}, booktitle={Proceedings
- 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019},
publisher={KIT Scientific Publishing, Karlsruhe}, author={Tornede, Alexander and
Wever, Marcel Dominik and Hüllermeier, Eyke}, editor={Hoffmann, Frank and Hüllermeier,
Eyke and Mikut, RalfEditors}, year={2019}, pages={135–146} }'
chicago: 'Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm
Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In
Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29.
November 2019, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut,
135–46. KIT Scientific Publishing, Karlsruhe, 2019.'
ieee: 'A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation:
From Collaborative Filtering to Dyad Ranking,” in Proceedings - 29. Workshop
Computational Intelligence, Dortmund, 28. - 29. November 2019, Dortmund, 2019,
pp. 135–146.'
mla: 'Tornede, Alexander, et al. “Algorithm Selection as Recommendation: From Collaborative
Filtering to Dyad Ranking.” Proceedings - 29. Workshop Computational Intelligence,
Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann et al., KIT Scientific
Publishing, Karlsruhe, 2019, pp. 135–46.'
short: 'A. Tornede, M.D. Wever, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier,
R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund,
28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.'
conference:
end_date: 2019-11-29
location: Dortmund
name: 29. Workshop Computational Intelligence
start_date: 2019-11-28
date_created: 2019-11-15T13:29:25Z
date_updated: 2022-01-06T06:52:14Z
ddc:
- '006'
department:
- _id: '355'
editor:
- first_name: Frank
full_name: Hoffmann, Frank
last_name: Hoffmann
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Ralf
full_name: Mikut, Ralf
last_name: Mikut
file:
- access_level: open_access
content_type: application/pdf
creator: ahetzer
date_created: 2020-05-25T08:01:31Z
date_updated: 2020-05-25T08:01:31Z
file_id: '17060'
file_name: ci_workshop_tornede.pdf
file_size: 468825
relation: main_file
file_date_updated: 2020-05-25T08:01:31Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 135-146
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28.
- 29. November 2019
publication_identifier:
isbn:
- 978-3-7315-0979-0
publication_status: published
publisher: KIT Scientific Publishing, Karlsruhe
status: public
title: 'Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad
Ranking'
type: conference
user_id: '38209'
year: '2019'
...
---
_id: '15013'
author:
- first_name: Klaus
full_name: Brinker, Klaus
last_name: Brinker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Brinker K, Hüllermeier E. A Reduction of Label Ranking to Multiclass Classification.
In: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases. Würzburg, Germany; 2019.'
apa: Brinker, K., & Hüllermeier, E. (2019). A Reduction of Label Ranking to
Multiclass Classification. In Proceedings ECML/PKDD, European Conference on
Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany.
bibtex: '@inproceedings{Brinker_Hüllermeier_2019, place={Würzburg, Germany}, title={A
Reduction of Label Ranking to Multiclass Classification}, booktitle={Proceedings
ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in
Databases}, author={Brinker, Klaus and Hüllermeier, Eyke}, year={2019} }'
chicago: Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to
Multiclass Classification.” In Proceedings ECML/PKDD, European Conference on
Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany,
2019.
ieee: K. Brinker and E. Hüllermeier, “A Reduction of Label Ranking to Multiclass
Classification,” in Proceedings ECML/PKDD, European Conference on Machine Learning
and Knowledge Discovery in Databases, 2019.
mla: Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to Multiclass
Classification.” Proceedings ECML/PKDD, European Conference on Machine Learning
and Knowledge Discovery in Databases, 2019.
short: 'K. Brinker, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference
on Machine Learning and Knowledge Discovery in Databases, Würzburg, Germany, 2019.'
date_created: 2019-11-18T07:26:43Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
- _id: '7'
language:
- iso: eng
place: Würzburg, Germany
publication: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge
Discovery in Databases
status: public
title: A Reduction of Label Ranking to Multiclass Classification
type: conference
user_id: '315'
year: '2019'
...
---
_id: '15014'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: Sebastian
full_name: Diestercke, Sebastian
last_name: Diestercke
citation:
ama: 'Hüllermeier E, Couso I, Diestercke S. Learning from Imprecise Data: Adjustments
of Optimistic and Pessimistic Variants. In: Proceedings SUM 2019, International
Conference on Scalable Uncertainty Management. ; 2019.'
apa: 'Hüllermeier, E., Couso, I., & Diestercke, S. (2019). Learning from Imprecise
Data: Adjustments of Optimistic and Pessimistic Variants. In Proceedings SUM
2019, International Conference on Scalable Uncertainty Management.'
bibtex: '@inproceedings{Hüllermeier_Couso_Diestercke_2019, title={Learning from
Imprecise Data: Adjustments of Optimistic and Pessimistic Variants}, booktitle={Proceedings
SUM 2019, International Conference on Scalable Uncertainty Management}, author={Hüllermeier,
Eyke and Couso, Ines and Diestercke, Sebastian}, year={2019} }'
chicago: 'Hüllermeier, Eyke, Ines Couso, and Sebastian Diestercke. “Learning from
Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.” In Proceedings
SUM 2019, International Conference on Scalable Uncertainty Management, 2019.'
ieee: 'E. Hüllermeier, I. Couso, and S. Diestercke, “Learning from Imprecise Data:
Adjustments of Optimistic and Pessimistic Variants,” in Proceedings SUM 2019,
International Conference on Scalable Uncertainty Management, 2019.'
mla: 'Hüllermeier, Eyke, et al. “Learning from Imprecise Data: Adjustments of Optimistic
and Pessimistic Variants.” Proceedings SUM 2019, International Conference on
Scalable Uncertainty Management, 2019.'
short: 'E. Hüllermeier, I. Couso, S. Diestercke, in: Proceedings SUM 2019, International
Conference on Scalable Uncertainty Management, 2019.'
date_created: 2019-11-18T07:38:13Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
- _id: '7'
language:
- iso: eng
publication: Proceedings SUM 2019, International Conference on Scalable Uncertainty
Management
status: public
title: 'Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants'
type: conference
user_id: '315'
year: '2019'
...
---
_id: '15015'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Henzgen S, Hüllermeier E. Mining Rank Data. ACM Transactions on Knowledge
Discovery from Data. 2019:1-36. doi:10.1145/3363572
apa: Henzgen, S., & Hüllermeier, E. (2019). Mining Rank Data. ACM Transactions
on Knowledge Discovery from Data, 1–36. https://doi.org/10.1145/3363572
bibtex: '@article{Henzgen_Hüllermeier_2019, title={Mining Rank Data}, DOI={10.1145/3363572},
journal={ACM Transactions on Knowledge Discovery from Data}, author={Henzgen,
Sascha and Hüllermeier, Eyke}, year={2019}, pages={1–36} }'
chicago: Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” ACM Transactions
on Knowledge Discovery from Data, 2019, 1–36. https://doi.org/10.1145/3363572.
ieee: S. Henzgen and E. Hüllermeier, “Mining Rank Data,” ACM Transactions on
Knowledge Discovery from Data, pp. 1–36, 2019.
mla: Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” ACM Transactions
on Knowledge Discovery from Data, 2019, pp. 1–36, doi:10.1145/3363572.
short: S. Henzgen, E. Hüllermeier, ACM Transactions on Knowledge Discovery from
Data (2019) 1–36.
date_created: 2019-11-18T07:40:27Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
- _id: '7'
doi: 10.1145/3363572
language:
- iso: eng
page: 1-36
publication: ACM Transactions on Knowledge Discovery from Data
publication_identifier:
issn:
- 1556-4681
publication_status: published
status: public
title: Mining Rank Data
type: journal_article
user_id: '315'
year: '2019'
...