---
_id: '27284'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: Wever MD. Automated Machine Learning for Multi-Label Classification.;
2021. doi:10.17619/UNIPB/1-1302
apa: Wever, M. D. (2021). Automated Machine Learning for Multi-Label Classification.
https://doi.org/10.17619/UNIPB/1-1302
bibtex: '@book{Wever_2021, title={Automated Machine Learning for Multi-Label Classification},
DOI={10.17619/UNIPB/1-1302},
author={Wever, Marcel Dominik}, year={2021} }'
chicago: Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification,
2021. https://doi.org/10.17619/UNIPB/1-1302.
ieee: M. D. Wever, Automated Machine Learning for Multi-Label Classification.
2021.
mla: Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification.
2021, doi:10.17619/UNIPB/1-1302.
short: M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.
date_created: 2021-11-08T14:05:19Z
date_updated: 2022-04-13T09:39:56Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.17619/UNIPB/1-1302
file:
- access_level: open_access
content_type: application/pdf
creator: wever
date_created: 2022-04-13T09:35:25Z
date_updated: 2022-04-13T09:39:56Z
file_id: '30886'
file_name: dissertation_publish_upload.pdf
file_size: 8098177
relation: main_file
file_date_updated: 2022-04-13T09:39:56Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication_status: published
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Automated Machine Learning for Multi-Label Classification
type: dissertation
user_id: '33176'
year: '2021'
...
---
_id: '13435'
author:
- first_name: Edwin
full_name: Friesen, Edwin
last_name: Friesen
citation:
ama: 'Friesen E. Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn; 2019.'
apa: 'Friesen, E. (2019). Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn.'
bibtex: '@book{Friesen_2019, title={Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis},
publisher={Universität Paderborn}, author={Friesen, Edwin}, year={2019} }'
chicago: 'Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn, 2019.'
ieee: 'E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn, 2019.'
mla: 'Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis.
Universität Paderborn, 2019.'
short: 'E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion
und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis, Universität
Paderborn, 2019.'
date_created: 2019-09-20T14:58:49Z
date_updated: 2022-01-06T06:51:36Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
language:
- iso: ger
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
title: 'Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation
mittels domänenspezifischer Wissensbasis'
type: bachelorsthesis
user_id: '477'
year: '2019'
...
---
_id: '5693'
author:
- first_name: Helena
full_name: Graf, Helena
id: '52640'
last_name: Graf
citation:
ama: Graf H. Ranking of Classification Algorithms in AutoML. Universität
Paderborn; 2018.
apa: Graf, H. (2018). Ranking of Classification Algorithms in AutoML. Universität
Paderborn.
bibtex: '@book{Graf_2018, title={Ranking of Classification Algorithms in AutoML},
publisher={Universität Paderborn}, author={Graf, Helena}, year={2018} }'
chicago: Graf, Helena. Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
ieee: H. Graf, Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
mla: Graf, Helena. Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
short: H. Graf, Ranking of Classification Algorithms in AutoML, Universität Paderborn,
2018.
date_created: 2018-11-15T08:06:41Z
date_updated: 2022-01-06T07:02:35Z
department:
- _id: '355'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Ranking of Classification Algorithms in AutoML
type: bachelorsthesis
user_id: '33176'
year: '2018'
...
---
_id: '5936'
author:
- first_name: Manuel
full_name: Scheibl, Manuel
last_name: Scheibl
citation:
ama: Scheibl M. Learning about Learning Curves from Dataset Properties. Universität
Paderborn; 2018.
apa: Scheibl, M. (2018). Learning about learning curves from dataset properties.
Universität Paderborn.
bibtex: '@book{Scheibl_2018, title={Learning about learning curves from dataset
properties}, publisher={Universität Paderborn}, author={Scheibl, Manuel}, year={2018}
}'
chicago: Scheibl, Manuel. Learning about Learning Curves from Dataset Properties.
Universität Paderborn, 2018.
ieee: M. Scheibl, Learning about learning curves from dataset properties.
Universität Paderborn, 2018.
mla: Scheibl, Manuel. Learning about Learning Curves from Dataset Properties.
Universität Paderborn, 2018.
short: M. Scheibl, Learning about Learning Curves from Dataset Properties, Universität
Paderborn, 2018.
date_created: 2018-11-28T10:29:53Z
date_updated: 2022-01-06T07:02:47Z
department:
- _id: '355'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Learning about learning curves from dataset properties
type: bachelorsthesis
user_id: '477'
year: '2018'
...
---
_id: '5694'
author:
- first_name: Nino Noel
full_name: Schnitker, Nino Noel
last_name: Schnitker
citation:
ama: Schnitker NN. Genetischer Algorithmus zur Erstellung von Ensembles von Nested
Dichotomies. Universität Paderborn; 2017.
apa: Schnitker, N. N. (2017). Genetischer Algorithmus zur Erstellung von Ensembles
von Nested Dichotomies. Universität Paderborn.
bibtex: '@book{Schnitker_2017, title={Genetischer Algorithmus zur Erstellung von
Ensembles von Nested Dichotomies}, publisher={Universität Paderborn}, author={Schnitker,
Nino Noel}, year={2017} }'
chicago: Schnitker, Nino Noel. Genetischer Algorithmus zur Erstellung von Ensembles
von Nested Dichotomies. Universität Paderborn, 2017.
ieee: N. N. Schnitker, Genetischer Algorithmus zur Erstellung von Ensembles von
Nested Dichotomies. Universität Paderborn, 2017.
mla: Schnitker, Nino Noel. Genetischer Algorithmus zur Erstellung von Ensembles
von Nested Dichotomies. Universität Paderborn, 2017.
short: N.N. Schnitker, Genetischer Algorithmus zur Erstellung von Ensembles von
Nested Dichotomies, Universität Paderborn, 2017.
date_created: 2018-11-15T08:10:48Z
date_updated: 2022-01-06T07:02:35Z
department:
- _id: '355'
language:
- iso: ger
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies
type: bachelorsthesis
user_id: '477'
year: '2017'
...
---
_id: '5724'
author:
- first_name: Alexander
full_name: Hetzer, Alexander
id: '38209'
last_name: Hetzer
- first_name: Tanja
full_name: Tornede, Tanja
last_name: Tornede
citation:
ama: Hetzer A, Tornede T. Solving the Container Pre-Marshalling Problem Using
Reinforcement Learning and Structured Output Prediction. Universität Paderborn;
2017.
apa: Hetzer, A., & Tornede, T. (2017). Solving the Container Pre-Marshalling
Problem using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn.
bibtex: '@book{Hetzer_Tornede_2017, title={Solving the Container Pre-Marshalling
Problem using Reinforcement Learning and Structured Output Prediction}, publisher={Universität
Paderborn}, author={Hetzer, Alexander and Tornede, Tanja}, year={2017} }'
chicago: Hetzer, Alexander, and Tanja Tornede. Solving the Container Pre-Marshalling
Problem Using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn, 2017.
ieee: A. Hetzer and T. Tornede, Solving the Container Pre-Marshalling Problem
using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn, 2017.
mla: Hetzer, Alexander, and Tanja Tornede. Solving the Container Pre-Marshalling
Problem Using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn, 2017.
short: A. Hetzer, T. Tornede, Solving the Container Pre-Marshalling Problem Using
Reinforcement Learning and Structured Output Prediction, Universität Paderborn,
2017.
date_created: 2018-11-19T07:49:13Z
date_updated: 2022-01-06T07:02:37Z
department:
- _id: '355'
- _id: '199'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Kevin
full_name: Tierney, Kevin
last_name: Tierney
title: Solving the Container Pre-Marshalling Problem using Reinforcement Learning
and Structured Output Prediction
type: mastersthesis
user_id: '477'
year: '2017'
...