---
_id: '10319'
author:
- first_name: W.
full_name: Waegeman, W.
last_name: Waegeman
- first_name: K.
full_name: Dembczynski, K.
last_name: Dembczynski
- first_name: A.
full_name: Jachnik, A.
last_name: Jachnik
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-Optimality
of F-Measure Maximizers. in Journal of Machine Learning Research. 2015;15:3333-3388.
apa: Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E.
(2015). On the Bayes-Optimality of F-Measure Maximizers. In Journal of Machine
Learning Research, 15, 3333–3388.
bibtex: '@article{Waegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title={On
the Bayes-Optimality of F-Measure Maximizers}, volume={15}, journal={in Journal
of Machine Learning Research}, author={Waegeman, W. and Dembczynski, K. and Jachnik,
A. and Cheng, W. and Hüllermeier, Eyke}, year={2015}, pages={3333–3388} }'
chicago: 'Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier.
“On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning
Research 15 (2015): 3333–88.'
ieee: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On
the Bayes-Optimality of F-Measure Maximizers,” in Journal of Machine Learning
Research, vol. 15, pp. 3333–3388, 2015.
mla: Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” In
Journal of Machine Learning Research, vol. 15, 2015, pp. 3333–88.
short: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, In Journal
of Machine Learning Research 15 (2015) 3333–3388.
date_created: 2019-06-26T13:04:35Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 15'
language:
- iso: eng
page: 3333-3388
publication: in Journal of Machine Learning Research
status: public
title: On the Bayes-Optimality of F-Measure Maximizers
type: journal_article
user_id: '49109'
volume: 15
year: '2015'
...
---
_id: '10320'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems.
2015;281:292-299.
apa: Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets
and Systems, 281, 292–299.
bibtex: '@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?},
volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015},
pages={292–299} }'
chicago: 'Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy
Sets and Systems 281 (2015): 292–99.'
ieee: E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and
Systems, vol. 281, pp. 292–299, 2015.
mla: Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets
and Systems, vol. 281, 2015, pp. 292–99.
short: E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
date_created: 2019-06-26T13:07:00Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 281'
language:
- iso: eng
page: 292-299
publication: Fuzzy Sets and Systems
status: public
title: Does machine learning need fuzzy logic?
type: journal_article
user_id: '49109'
volume: 281
year: '2015'
...
---
_id: '10321'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary
data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.'
apa: 'Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning
from non-stationary data streams: Experimental design and case study. Neurocomputing,
150, 250–264.'
bibtex: '@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive
learning from non-stationary data streams: Experimental design and case study},
volume={150}, journal={Neurocomputing}, author={Shaker, Ammar and Hüllermeier,
Eyke}, year={2015}, pages={250–264} }'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing
150 (2015): 250–64.'
ieee: 'A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from
non-stationary data streams: Experimental design and case study,” Neurocomputing,
vol. 150, pp. 250–264, 2015.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing,
vol. 150, 2015, pp. 250–64.'
short: A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264.
date_created: 2019-06-26T13:09:44Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 150'
language:
- iso: eng
page: 250-264
publication: Neurocomputing
status: public
title: 'Recovery analysis for adaptive learning from non-stationary data streams:
Experimental design and case study'
type: journal_article
user_id: '49109'
volume: 150
year: '2015'
...
---
_id: '10322'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Hüllermeier E. From Knowledge-based to Data-driven fuzzy modeling-Development,
criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.
apa: Hüllermeier, E. (2015). From Knowledge-based to Data-driven fuzzy modeling-Development,
criticism and alternative directions. Informatik Spektrum, 38(6),
500–509.
bibtex: '@article{Hüllermeier_2015, title={From Knowledge-based to Data-driven fuzzy
modeling-Development, criticism and alternative directions}, volume={38}, number={6},
journal={Informatik Spektrum}, author={Hüllermeier, Eyke}, year={2015}, pages={500–509}
}'
chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development,
Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015):
500–509.'
ieee: E. Hüllermeier, “From Knowledge-based to Data-driven fuzzy modeling-Development,
criticism and alternative directions,” Informatik Spektrum, vol. 38, no.
6, pp. 500–509, 2015.
mla: Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development,
Criticism and Alternative Directions.” Informatik Spektrum, vol. 38, no.
6, 2015, pp. 500–09.
short: E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509.
date_created: 2019-06-26T13:12:59Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 38'
issue: '6'
language:
- iso: eng
page: 500-509
publication: Informatik Spektrum
status: public
title: From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and
alternative directions
type: journal_article
user_id: '49109'
volume: 38
year: '2015'
...
---
_id: '10323'
author:
- first_name: S.
full_name: Garcia-Jimenez, S.
last_name: Garcia-Jimenez
- first_name: U.
full_name: Bustince, U.
last_name: Bustince
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: R.
full_name: Mesiar, R.
last_name: Mesiar
- first_name: N.R.
full_name: Pal, N.R.
last_name: Pal
- first_name: A.
full_name: Pradera, A.
last_name: Pradera
citation:
ama: 'Garcia-Jimenez S, Bustince U, Hüllermeier E, Mesiar R, Pal NR, Pradera A.
Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.
IEEE Transactions on Fuzzy Systems. 2015;23(4):1259-1273.'
apa: 'Garcia-Jimenez, S., Bustince, U., Hüllermeier, E., Mesiar, R., Pal, N. R.,
& Pradera, A. (2015). Overlap Indices: Construction of and Application of
Interpolative Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 23(4),
1259–1273.'
bibtex: '@article{Garcia-Jimenez_Bustince_Hüllermeier_Mesiar_Pal_Pradera_2015, title={Overlap
Indices: Construction of and Application of Interpolative Fuzzy Systems}, volume={23},
number={4}, journal={IEEE Transactions on Fuzzy Systems}, author={Garcia-Jimenez,
S. and Bustince, U. and Hüllermeier, Eyke and Mesiar, R. and Pal, N.R. and Pradera,
A.}, year={2015}, pages={1259–1273} }'
chicago: 'Garcia-Jimenez, S., U. Bustince, Eyke Hüllermeier, R. Mesiar, N.R. Pal,
and A. Pradera. “Overlap Indices: Construction of and Application of Interpolative
Fuzzy Systems.” IEEE Transactions on Fuzzy Systems 23, no. 4 (2015): 1259–73.'
ieee: 'S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N. R. Pal, and
A. Pradera, “Overlap Indices: Construction of and Application of Interpolative
Fuzzy Systems,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, pp.
1259–1273, 2015.'
mla: 'Garcia-Jimenez, S., et al. “Overlap Indices: Construction of and Application
of Interpolative Fuzzy Systems.” IEEE Transactions on Fuzzy Systems, vol.
23, no. 4, 2015, pp. 1259–73.'
short: S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N.R. Pal, A. Pradera,
IEEE Transactions on Fuzzy Systems 23 (2015) 1259–1273.
date_created: 2019-06-26T13:17:46Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 23'
issue: '4'
language:
- iso: eng
page: 1259-1273
publication: IEEE Transactions on Fuzzy Systems
status: public
title: 'Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems'
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '10324'
author:
- first_name: Robin
full_name: Senge, Robin
last_name: Senge
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning of Classification.
IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033.
apa: Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning of
Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033.
bibtex: '@article{Senge_Hüllermeier_2015, title={Fast Fuzzy Pattern Tree Learning
of Classification}, volume={23}, number={6}, journal={IEEE Transactions on Fuzzy
Systems}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033}
}'
chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning
of Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015):
2024–33.'
ieee: R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning of Classification,”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015.
mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.”
IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, 2015, pp. 2024–33.
short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
date_created: 2019-06-26T13:20:43Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 23'
issue: '6'
language:
- iso: eng
page: 2024-2033
publication: IEEE Transactions on Fuzzy Systems
status: public
title: Fast Fuzzy Pattern Tree Learning of Classification
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '24155'
author:
- first_name: Manu
full_name: Basavaraju, Manu
last_name: Basavaraju
- first_name: L Sunil
full_name: Chandran, L Sunil
last_name: Chandran
- first_name: Deepak
full_name: Rajendraprasad, Deepak
last_name: Rajendraprasad
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
citation:
ama: Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection
number of graph power and graph products. Graphs and Combinatorics. 2014;30(6):1363-1382.
apa: Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014).
Rainbow connection number of graph power and graph products. Graphs and Combinatorics,
30(6), 1363–1382.
bibtex: '@article{Basavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title={Rainbow
connection number of graph power and graph products}, volume={30}, number={6},
journal={Graphs and Combinatorics}, publisher={Springer}, author={Basavaraju,
Manu and Chandran, L Sunil and Rajendraprasad, Deepak and Ramaswamy, Arunselvan},
year={2014}, pages={1363–1382} }'
chicago: 'Basavaraju, Manu, L Sunil Chandran, Deepak Rajendraprasad, and Arunselvan
Ramaswamy. “Rainbow Connection Number of Graph Power and Graph Products.” Graphs
and Combinatorics 30, no. 6 (2014): 1363–82.'
ieee: M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow
connection number of graph power and graph products,” Graphs and Combinatorics,
vol. 30, no. 6, pp. 1363–1382, 2014.
mla: Basavaraju, Manu, et al. “Rainbow Connection Number of Graph Power and Graph
Products.” Graphs and Combinatorics, vol. 30, no. 6, Springer, 2014, pp.
1363–82.
short: M. Basavaraju, L.S. Chandran, D. Rajendraprasad, A. Ramaswamy, Graphs and
Combinatorics 30 (2014) 1363–1382.
date_created: 2021-09-10T10:22:23Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '355'
extern: '1'
intvolume: ' 30'
issue: '6'
language:
- iso: eng
page: 1363-1382
publication: Graphs and Combinatorics
publisher: Springer
status: public
title: Rainbow connection number of graph power and graph products
type: journal_article
user_id: '66937'
volume: 30
year: '2014'
...
---
_id: '24156'
author:
- first_name: Manu
full_name: Basavaraju, Manu
last_name: Basavaraju
- first_name: L Sunil
full_name: Chandran, L Sunil
last_name: Chandran
- first_name: Deepak
full_name: Rajendraprasad, Deepak
last_name: Rajendraprasad
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
citation:
ama: Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection
number and radius. Graphs and Combinatorics. 2014;30(2):275-285.
apa: Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014).
Rainbow connection number and radius. Graphs and Combinatorics, 30(2),
275–285.
bibtex: '@article{Basavaraju_Chandran_Rajendraprasad_Ramaswamy_2014, title={Rainbow
connection number and radius}, volume={30}, number={2}, journal={Graphs and Combinatorics},
publisher={Springer}, author={Basavaraju, Manu and Chandran, L Sunil and Rajendraprasad,
Deepak and Ramaswamy, Arunselvan}, year={2014}, pages={275–285} }'
chicago: 'Basavaraju, Manu, L Sunil Chandran, Deepak Rajendraprasad, and Arunselvan
Ramaswamy. “Rainbow Connection Number and Radius.” Graphs and Combinatorics
30, no. 2 (2014): 275–85.'
ieee: M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow
connection number and radius,” Graphs and Combinatorics, vol. 30, no. 2,
pp. 275–285, 2014.
mla: Basavaraju, Manu, et al. “Rainbow Connection Number and Radius.” Graphs
and Combinatorics, vol. 30, no. 2, Springer, 2014, pp. 275–85.
short: M. Basavaraju, L.S. Chandran, D. Rajendraprasad, A. Ramaswamy, Graphs and
Combinatorics 30 (2014) 275–285.
date_created: 2021-09-10T10:23:07Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '355'
extern: '1'
intvolume: ' 30'
issue: '2'
language:
- iso: eng
page: 275-285
publication: Graphs and Combinatorics
publisher: Springer
status: public
title: Rainbow connection number and radius
type: journal_article
user_id: '66937'
volume: 30
year: '2014'
...
---
_id: '353'
abstract:
- lang: eng
text: 'There are many technologies for the automation of processesthat deal with
services; examples are service discovery and composition.Automation of these processes
requires that the services are described semantically. However, semantically described
services are currently not oronly rarely available, which limits the applicability
of discovery and composition approaches. The systematic support for creating new
semanticservices usable by automated technologies is an open problem.We tackle
this problem with a template based approach: Domain independent templates are
instantiated with domain specific services andboolean expressions. The obtained
services have semantic descriptionswhose correctness directly follows from the
correctness of the template.Besides the theory, we present experimental results
for a service repository in which 85% of the services were generated automatically.'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Sven
full_name: Walther, Sven
last_name: Walther
citation:
ama: 'Mohr F, Walther S. Template-based Generation of Semantic Services. In: Proceedings
of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2014:188-203.
doi:10.1007/978-3-319-14130-5_14'
apa: Mohr, F., & Walther, S. (2014). Template-based Generation of Semantic Services.
In Proceedings of the 14th International Conference on Software Reuse (ICSR)
(pp. 188–203). https://doi.org/10.1007/978-3-319-14130-5_14
bibtex: '@inproceedings{Mohr_Walther_2014, series={LNCS}, title={Template-based
Generation of Semantic Services}, DOI={10.1007/978-3-319-14130-5_14},
booktitle={Proceedings of the 14th International Conference on Software Reuse
(ICSR)}, author={Mohr, Felix and Walther, Sven}, year={2014}, pages={188–203},
collection={LNCS} }'
chicago: Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.”
In Proceedings of the 14th International Conference on Software Reuse (ICSR),
188–203. LNCS, 2014. https://doi.org/10.1007/978-3-319-14130-5_14.
ieee: F. Mohr and S. Walther, “Template-based Generation of Semantic Services,”
in Proceedings of the 14th International Conference on Software Reuse (ICSR),
2014, pp. 188–203.
mla: Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.”
Proceedings of the 14th International Conference on Software Reuse (ICSR),
2014, pp. 188–203, doi:10.1007/978-3-319-14130-5_14.
short: 'F. Mohr, S. Walther, in: Proceedings of the 14th International Conference
on Software Reuse (ICSR), 2014, pp. 188–203.'
date_created: 2017-10-17T12:42:00Z
date_updated: 2022-01-06T06:59:22Z
ddc:
- '040'
department:
- _id: '77'
- _id: '355'
doi: 10.1007/978-3-319-14130-5_14
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:23:32Z
date_updated: 2018-03-20T07:23:32Z
file_id: '1414'
file_name: 353-icsr2015_submission_17.pdf
file_size: 431778
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:23:32Z
has_accepted_license: '1'
language:
- iso: eng
page: 188-203
project:
- _id: '1'
name: SFB 901
- _id: '11'
name: SFB 901 - Subprojekt B3
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication: Proceedings of the 14th International Conference on Software Reuse (ICSR)
series_title: LNCS
status: public
title: Template-based Generation of Semantic Services
type: conference
user_id: '477'
year: '2014'
...
---
_id: '447'
abstract:
- lang: eng
text: Automatic service composition is still a challengingtask. It is even more
challenging when dealing witha dynamic market of services for end users. New servicesmay
enter the market while other services are completelyremoved. Furthermore, end
users are typically no experts in thedomain in which they formulate a request.
As a consequence,ambiguous user requests will inevitably emerge and have tobe
taken into account. To meet these challenges, we proposea new approach that combines
automatic service compositionwith adaptive service recommendation. A best first
backwardsearch algorithm produces solutions that are functional correctwith respect
to user requests. An adaptive recommendationsystem supports the search algorithm
in decision-making.Reinforcement Learning techniques enable the system to adjustits
recommendation strategy over time based on user ratings.The integrated approach
is described on a conceptional leveland demonstrated by means of an illustrative
example fromthe image processing domain.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Bernd
full_name: Kleinjohann, Bernd
last_name: Kleinjohann
citation:
ama: 'Jungmann A, Mohr F, Kleinjohann B. Combining Automatic Service Composition
with Adaptive Service Recommendation for Dynamic Markets of Services. In: Proceedings
of the 10th World Congress on Services (SERVICES). ; 2014:346-353. doi:10.1109/SERVICES.2014.68'
apa: Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Combining Automatic Service
Composition with Adaptive Service Recommendation for Dynamic Markets of Services.
In Proceedings of the 10th World Congress on Services (SERVICES) (pp. 346–353).
https://doi.org/10.1109/SERVICES.2014.68
bibtex: '@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Combining Automatic
Service Composition with Adaptive Service Recommendation for Dynamic Markets of
Services}, DOI={10.1109/SERVICES.2014.68},
booktitle={Proceedings of the 10th World Congress on Services (SERVICES)}, author={Jungmann,
Alexander and Mohr, Felix and Kleinjohann, Bernd}, year={2014}, pages={346–353}
}'
chicago: Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Combining Automatic
Service Composition with Adaptive Service Recommendation for Dynamic Markets of
Services.” In Proceedings of the 10th World Congress on Services (SERVICES),
346–53, 2014. https://doi.org/10.1109/SERVICES.2014.68.
ieee: A. Jungmann, F. Mohr, and B. Kleinjohann, “Combining Automatic Service Composition
with Adaptive Service Recommendation for Dynamic Markets of Services,” in Proceedings
of the 10th World Congress on Services (SERVICES), 2014, pp. 346–353.
mla: Jungmann, Alexander, et al. “Combining Automatic Service Composition with Adaptive
Service Recommendation for Dynamic Markets of Services.” Proceedings of the
10th World Congress on Services (SERVICES), 2014, pp. 346–53, doi:10.1109/SERVICES.2014.68.
short: 'A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 10th World
Congress on Services (SERVICES), 2014, pp. 346–353.'
date_created: 2017-10-17T12:42:19Z
date_updated: 2022-01-06T07:01:06Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SERVICES.2014.68
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:26:36Z
date_updated: 2018-03-16T11:26:36Z
file_id: '1347'
file_name: 447-_FINAL__Combining_Automatic_Service_Composition_with_Adaptive_Service_Recommendation_for_Dynamic_Markets_of_Services.pdf
file_size: 429462
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:26:36Z
has_accepted_license: '1'
language:
- iso: eng
page: 346-353
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 10th World Congress on Services (SERVICES)
status: public
title: Combining Automatic Service Composition with Adaptive Service Recommendation
for Dynamic Markets of Services
type: conference
user_id: '477'
year: '2014'
...
---
_id: '457'
abstract:
- lang: eng
text: Automatically composing service-based software solutionsis still a challenging
task. Functional as well as nonfunctionalproperties have to be considered in order
to satisfyindividual user requests. Regarding non-functional properties,the composition
process can be modeled as optimization problemand solved accordingly. Functional
properties, in turn, can bedescribed by means of a formal specification language.
Statespacebased planning approaches can then be applied to solvethe underlying
composition problem. However, depending on theexpressiveness of the applied formalism
and the completenessof the functional descriptions, formally equivalent services
maystill differ with respect to their implemented functionality. As aconsequence,
the most appropriate solution for a desired functionalitycan hardly be determined
without considering additionalinformation. In this paper, we demonstrate how to
overcome thislack of information by means of Reinforcement Learning. Inorder to
resolve ambiguity, we expand state-space based servicecomposition by a recommendation
mechanism that supportsdecision-making beyond formal specifications. The recommendationmechanism
adjusts its recommendation strategy basedon feedback from previous composition
runs. Image processingserves as case study. Experimental results show the benefit
of ourproposed solution.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: 'Bernd '
full_name: 'Kleinjohann, Bernd '
last_name: Kleinjohann
citation:
ama: 'Jungmann A, Mohr F, Kleinjohann B. Applying Reinforcement Learning for Resolving
Ambiguity in Service Composition. In: Proceedings of the 7th International
Conference on Service Oriented Computing and Applications (SOCA). ; 2014:105-112.
doi:10.1109/SOCA.2014.48'
apa: Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition. In Proceedings of
the 7th International Conference on Service Oriented Computing and Applications
(SOCA) (pp. 105–112). https://doi.org/10.1109/SOCA.2014.48
bibtex: '@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition}, DOI={10.1109/SOCA.2014.48},
booktitle={Proceedings of the 7th International Conference on Service Oriented
Computing and Applications (SOCA)}, author={Jungmann, Alexander and Mohr, Felix
and Kleinjohann, Bernd }, year={2014}, pages={105–112} }'
chicago: Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Applying Reinforcement
Learning for Resolving Ambiguity in Service Composition.” In Proceedings of
the 7th International Conference on Service Oriented Computing and Applications
(SOCA), 105–12, 2014. https://doi.org/10.1109/SOCA.2014.48.
ieee: A. Jungmann, F. Mohr, and B. Kleinjohann, “Applying Reinforcement Learning
for Resolving Ambiguity in Service Composition,” in Proceedings of the 7th
International Conference on Service Oriented Computing and Applications (SOCA),
2014, pp. 105–112.
mla: Jungmann, Alexander, et al. “Applying Reinforcement Learning for Resolving
Ambiguity in Service Composition.” Proceedings of the 7th International Conference
on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–12, doi:10.1109/SOCA.2014.48.
short: 'A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 7th International
Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112.'
date_created: 2017-10-17T12:42:21Z
date_updated: 2022-01-06T07:01:12Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/SOCA.2014.48
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:22:26Z
date_updated: 2018-03-16T11:22:26Z
file_id: '1339'
file_name: 457-SOCA2014-Jungmann-Mohr.pdf
file_size: 1324374
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:22:26Z
has_accepted_license: '1'
language:
- iso: eng
page: 105-112
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 7th International Conference on Service Oriented Computing
and Applications (SOCA)
status: public
title: Applying Reinforcement Learning for Resolving Ambiguity in Service Composition
type: conference
user_id: '477'
year: '2014'
...
---
_id: '428'
abstract:
- lang: eng
text: Services are self-contained software components that can be used platform
independent and that aim at maximizing software reuse. A basic concern in service
oriented architectures is to measure the reusability of services. One of the most
important qualities is the functional reusability, which indicates how relevant
the task is that a service solves. Current metrics for functional reusability
of software, however, either require source code analysis or have very little
explanatory power. This paper gives a formally described vision statement for
the estimation of functional reusability of services and sketches an exemplary
reusability metric that is based on the service descriptions.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: 'Mohr F. Estimating Functional Reusability of Services. In: Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC).
LNCS. ; 2014:411-418.'
apa: Mohr, F. (2014). Estimating Functional Reusability of Services. In Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC)
(pp. 411–418).
bibtex: '@inproceedings{Mohr_2014, series={LNCS}, title={Estimating Functional Reusability
of Services}, booktitle={Proceedings of the 12th International Conference on Service
Oriented Computing (ICSOC)}, author={Mohr, Felix}, year={2014}, pages={411–418},
collection={LNCS} }'
chicago: Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
411–18. LNCS, 2014.
ieee: F. Mohr, “Estimating Functional Reusability of Services,” in Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
2014, pp. 411–418.
mla: Mohr, Felix. “Estimating Functional Reusability of Services.” Proceedings
of the 12th International Conference on Service Oriented Computing (ICSOC),
2014, pp. 411–18.
short: 'F. Mohr, in: Proceedings of the 12th International Conference on Service
Oriented Computing (ICSOC), 2014, pp. 411–418.'
date_created: 2017-10-17T12:42:15Z
date_updated: 2022-01-06T07:00:47Z
ddc:
- '040'
department:
- _id: '355'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-16T11:32:02Z
date_updated: 2018-03-16T11:32:02Z
file_id: '1357'
file_name: 428-ICSOC14.pdf
file_size: 200063
relation: main_file
success: 1
file_date_updated: 2018-03-16T11:32:02Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007%2F978-3-662-45391-9_31
page: 411-418
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 12th International Conference on Service Oriented
Computing (ICSOC)
series_title: LNCS
status: public
title: Estimating Functional Reusability of Services
type: conference
user_id: '477'
year: '2014'
...
---
_id: '16046'
author:
- first_name: M.
full_name: Agarwal, M.
last_name: Agarwal
- first_name: A.
full_name: Fallah Tehrani, A.
last_name: Fallah Tehrani
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal
solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision
Analysis. 2014;22(3-4).
apa: Agarwal, M., Fallah Tehrani, A., & Hüllermeier, E. (2014). Preference-based
learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria
Decision Analysis, 22(3–4).
bibtex: '@article{Agarwal_Fallah Tehrani_Hüllermeier_2014, title={Preference-based
learning of ideal solutions in TOPSIS-like decision models}, volume={22}, number={3–4},
journal={Journal of Multi-Criteria Decision Analysis}, author={Agarwal, M. and
Fallah Tehrani, A. and Hüllermeier, Eyke}, year={2014} }'
chicago: Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based
Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria
Decision Analysis 22, no. 3–4 (2014).
ieee: M. Agarwal, A. Fallah Tehrani, and E. Hüllermeier, “Preference-based learning
of ideal solutions in TOPSIS-like decision models,” Journal of Multi-Criteria
Decision Analysis, vol. 22, no. 3–4, 2014.
mla: Agarwal, M., et al. “Preference-Based Learning of Ideal Solutions in TOPSIS-like
Decision Models.” Journal of Multi-Criteria Decision Analysis, vol. 22,
no. 3–4, 2014.
short: M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria
Decision Analysis 22 (2014).
date_created: 2020-02-24T16:12:27Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 22'
issue: 3-4
language:
- iso: eng
publication: Journal of Multi-Criteria Decision Analysis
status: public
title: Preference-based learning of ideal solutions in TOPSIS-like decision models
type: journal_article
user_id: '49109'
volume: 22
year: '2014'
...
---
_id: '16060'
author:
- first_name: T.
full_name: Krotzky, T.
last_name: Krotzky
- first_name: T.
full_name: Fober, T.
last_name: Fober
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: G.
full_name: Klebe, G.
last_name: Klebe
citation:
ama: Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for
enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational
Biology and Bioinformatics. 2014;11(5):878-890.
apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended graph-based
models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational
Biology and Bioinformatics, 11(5), 878–890.
bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended graph-based
models for enhanced similarity search in Cabase}, volume={11}, number={5}, journal={IEEE/ACM
Transactions of Computational Biology and Bioinformatics}, author={Krotzky, T.
and Fober, T. and Hüllermeier, Eyke and Klebe, G.}, year={2014}, pages={878–890}
}'
chicago: 'Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based
Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of
Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.'
ieee: T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended graph-based
models for enhanced similarity search in Cabase,” IEEE/ACM Transactions of
Computational Biology and Bioinformatics, vol. 11, no. 5, pp. 878–890, 2014.
mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search
in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics,
vol. 11, no. 5, 2014, pp. 878–90.
short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of
Computational Biology and Bioinformatics 11 (2014) 878–890.
date_created: 2020-02-24T16:34:16Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 11'
issue: '5'
language:
- iso: eng
page: 878-890
publication: IEEE/ACM Transactions of Computational Biology and Bioinformatics
status: public
title: Extended graph-based models for enhanced similarity search in Cabase
type: journal_article
user_id: '49109'
volume: 11
year: '2014'
...
---
_id: '16064'
author:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization. International Journal of Approximate
Reasoning. 2014;55(7):1519-1534.'
apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data
disambiguation through generalized loss minimization. International Journal
of Approximate Reasoning, 55(7), 1519–1534.'
bibtex: '@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations:
Data disambiguation through generalized loss minimization}, volume={55}, number={7},
journal={International Journal of Approximate Reasoning}, author={Hüllermeier,
Eyke}, year={2014}, pages={1519–1534} }'
chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data
Disambiguation through Generalized Loss Minimization.” International Journal
of Approximate Reasoning 55, no. 7 (2014): 1519–34.'
ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation
through generalized loss minimization,” International Journal of Approximate
Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.'
mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation
through Generalized Loss Minimization.” International Journal of Approximate
Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.'
short: E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014)
1519–1534.
date_created: 2020-02-24T16:38:22Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 55'
issue: '7'
language:
- iso: eng
page: 1519-1534
publication: International Journal of Approximate Reasoning
status: public
title: 'Learning from imprecise and fuzzy observations: Data disambiguation through
generalized loss minimization'
type: journal_article
user_id: '49109'
volume: 55
year: '2014'
...
---
_id: '16069'
author:
- first_name: Sascha
full_name: Henzgen, Sascha
last_name: Henzgen
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based
systems. Evolving Systems. 2014;5:175-191.
apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of
evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.
bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving
fuzzy-rule-based systems}, volume={5}, journal={Evolving Systems}, author={Henzgen,
Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014}, pages={175–191}
}'
chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of
Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.'
ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based
systems,” Evolving Systems, vol. 5, pp. 175–191, 2014.
mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.”
Evolving Systems, vol. 5, 2014, pp. 175–91.
short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.
date_created: 2020-02-24T16:45:06Z
date_updated: 2022-01-06T06:52:42Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 5'
language:
- iso: eng
page: 175-191
publication: Evolving Systems
status: public
title: Visualization of evolving fuzzy-rule-based systems
type: journal_article
user_id: '49109'
volume: 5
year: '2014'
...
---
_id: '16077'
author:
- first_name: Robert
full_name: Busa-Fekete, Robert
last_name: Busa-Fekete
- first_name: B.
full_name: Szörenyi, B.
last_name: Szörenyi
- first_name: P.
full_name: Weng, P.
last_name: Weng
- first_name: W.
full_name: Cheng, W.
last_name: Cheng
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm. Machine Learning. 2014;97(3):327-351.'
apa: 'Busa-Fekete, R., Szörenyi, B., Weng, P., Cheng, W., & Hüllermeier, E.
(2014). Preference-based reinforcement learning: evolutionary direct policy search
using a preference-based racing algorithm. Machine Learning, 97(3),
327–351.'
bibtex: '@article{Busa-Fekete_Szörenyi_Weng_Cheng_Hüllermeier_2014, title={Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm.}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete,
Robert and Szörenyi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014},
pages={327–351} }'
chicago: 'Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier.
“Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using
a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014):
327–51.'
ieee: 'R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based
reinforcement learning: evolutionary direct policy search using a preference-based
racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.'
mla: 'Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary
Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning,
vol. 97, no. 3, 2014, pp. 327–51.'
short: R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning
97 (2014) 327–351.
date_created: 2020-02-25T15:33:07Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 97'
issue: '3'
language:
- iso: eng
page: 327-351
publication: Machine Learning
status: public
title: 'Preference-based reinforcement learning: evolutionary direct policy search
using a preference-based racing algorithm.'
type: journal_article
user_id: '49109'
volume: 97
year: '2014'
...
---
_id: '16078'
author:
- first_name: G.
full_name: Krempl, G.
last_name: Krempl
- first_name: I.
full_name: Zliobaite, I.
last_name: Zliobaite
- first_name: D.
full_name: Brzezinski, D.
last_name: Brzezinski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: M.
full_name: Last, M.
last_name: Last
- first_name: V.
full_name: Lemaire, V.
last_name: Lemaire
- first_name: T.
full_name: Noack, T.
last_name: Noack
- first_name: A.
full_name: Shaker, A.
last_name: Shaker
- first_name: S.
full_name: Sievi, S.
last_name: Sievi
- first_name: M.
full_name: Spiliopoulou, M.
last_name: Spiliopoulou
- first_name: J.
full_name: Stefanowski, J.
last_name: Stefanowski
citation:
ama: Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream
mining research. SIGKDD Explorations. 2014;16(1):1-10.
apa: Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire,
V., … Stefanowski, J. (2014). Open challenges for data stream mining research.
SIGKDD Explorations, 16(1), 1–10.
bibtex: '@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et
al._2014, title={Open challenges for data stream mining research}, volume={16},
number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I.
and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack,
T. and Shaker, A. and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014},
pages={1–10} }'
chicago: 'Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V.
Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations 16, no. 1 (2014): 1–10.'
ieee: G. Krempl et al., “Open challenges for data stream mining research,”
SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.
mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD
Explorations, vol. 16, no. 1, 2014, pp. 1–10.
short: G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire,
T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations
16 (2014) 1–10.
date_created: 2020-02-25T15:39:01Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 16'
issue: '1'
language:
- iso: eng
page: 1-10
publication: SIGKDD Explorations
status: public
title: Open challenges for data stream mining research
type: journal_article
user_id: '49109'
volume: 16
year: '2014'
...
---
_id: '16079'
author:
- first_name: M.
full_name: Strickert, M.
last_name: Strickert
- first_name: K.
full_name: Bunte, K.
last_name: Bunte
- first_name: F.M.
full_name: Schleif, F.M.
last_name: Schleif
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding
of pairwise score data. Neurocomputing. 2014;141:97-109.
apa: Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based
embedding of pairwise score data. Neurocomputing, 141, 97–109.
bibtex: '@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based
embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert,
M. and Bunte, K. and Schleif, F.M. and Hüllermeier, Eyke}, year={2014}, pages={97–109}
}'
chicago: 'Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based
Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.'
ieee: M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based
embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109,
2014.
mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.”
Neurocomputing, vol. 141, 2014, pp. 97–109.
short: M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141
(2014) 97–109.
date_created: 2020-02-25T15:41:32Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 141'
language:
- iso: eng
page: 97-109
publication: Neurocomputing
status: public
title: Correlation-based embedding of pairwise score data
type: journal_article
user_id: '49109'
volume: 141
year: '2014'
...
---
_id: '16080'
author:
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal
events in dynamically changing environments. International Journal of Applied
Mathematics and Computer Science. 2014;24(1):199-212.'
apa: 'Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments. International
Journal of Applied Mathematics and Computer Science, 24(1), 199–212.'
bibtex: '@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams:
Analyzing temporal events in dynamically changing environments}, volume={24},
number={1}, journal={International Journal of Applied Mathematics and Computer
Science}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212}
}'
chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams:
Analyzing Temporal Events in Dynamically Changing Environments.” International
Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.'
ieee: 'A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing
temporal events in dynamically changing environments,” International Journal
of Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212,
2014.'
mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing
Temporal Events in Dynamically Changing Environments.” International Journal
of Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.'
short: A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and
Computer Science 24 (2014) 199–212.
date_created: 2020-02-25T15:44:54Z
date_updated: 2022-01-06T06:52:43Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: ' 24'
issue: '1'
language:
- iso: eng
page: 199-212
publication: International Journal of Applied Mathematics and Computer Science
status: public
title: 'Survival analysis on data streams: Analyzing temporal events in dynamically
changing environments'
type: journal_article
user_id: '49109'
volume: 24
year: '2014'
...