---
_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. <i>Automated Machine Learning for Multi-Label Classification</i>.;
    2021. doi:<a href="https://doi.org/10.17619/UNIPB/1-1302">10.17619/UNIPB/1-1302</a>
  apa: Wever, M. D. (2021). <i>Automated Machine Learning for Multi-Label Classification</i>.
    <a href="https://doi.org/10.17619/UNIPB/1-1302">https://doi.org/10.17619/UNIPB/1-1302</a>
  bibtex: '@book{Wever_2021, title={Automated Machine Learning for Multi-Label Classification},
    DOI={<a href="https://doi.org/10.17619/UNIPB/1-1302">10.17619/UNIPB/1-1302</a>},
    author={Wever, Marcel Dominik}, year={2021} }'
  chicago: Wever, Marcel Dominik. <i>Automated Machine Learning for Multi-Label Classification</i>,
    2021. <a href="https://doi.org/10.17619/UNIPB/1-1302">https://doi.org/10.17619/UNIPB/1-1302</a>.
  ieee: M. D. Wever, <i>Automated Machine Learning for Multi-Label Classification</i>.
    2021.
  mla: Wever, Marcel Dominik. <i>Automated Machine Learning for Multi-Label Classification</i>.
    2021, doi:<a href="https://doi.org/10.17619/UNIPB/1-1302">10.17619/UNIPB/1-1302</a>.
  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. <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    Universität Paderborn; 2019.'
  apa: 'Friesen, E. (2019). <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    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. <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    Universität Paderborn, 2019.'
  ieee: 'E. Friesen, <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    Universität Paderborn, 2019.'
  mla: 'Friesen, Edwin. <i>Requirements Engineering im OTF-Computing: Informationsextraktion
    und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>.
    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. <i>Ranking of Classification Algorithms in AutoML</i>. Universität
    Paderborn; 2018.
  apa: Graf, H. (2018). <i>Ranking of Classification Algorithms in AutoML</i>. Universität
    Paderborn.
  bibtex: '@book{Graf_2018, title={Ranking of Classification Algorithms in AutoML},
    publisher={Universität Paderborn}, author={Graf, Helena}, year={2018} }'
  chicago: Graf, Helena. <i>Ranking of Classification Algorithms in AutoML</i>. Universität
    Paderborn, 2018.
  ieee: H. Graf, <i>Ranking of Classification Algorithms in AutoML</i>. Universität
    Paderborn, 2018.
  mla: Graf, Helena. <i>Ranking of Classification Algorithms in AutoML</i>. 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. <i>Learning about Learning Curves from Dataset Properties</i>. Universität
    Paderborn; 2018.
  apa: Scheibl, M. (2018). <i>Learning about learning curves from dataset properties</i>.
    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. <i>Learning about Learning Curves from Dataset Properties</i>.
    Universität Paderborn, 2018.
  ieee: M. Scheibl, <i>Learning about learning curves from dataset properties</i>.
    Universität Paderborn, 2018.
  mla: Scheibl, Manuel. <i>Learning about Learning Curves from Dataset Properties</i>.
    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. <i>Genetischer Algorithmus zur Erstellung von Ensembles von Nested
    Dichotomies</i>. Universität Paderborn; 2017.
  apa: Schnitker, N. N. (2017). <i>Genetischer Algorithmus zur Erstellung von Ensembles
    von Nested Dichotomies</i>. 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. <i>Genetischer Algorithmus zur Erstellung von Ensembles
    von Nested Dichotomies</i>. Universität Paderborn, 2017.
  ieee: N. N. Schnitker, <i>Genetischer Algorithmus zur Erstellung von Ensembles von
    Nested Dichotomies</i>. Universität Paderborn, 2017.
  mla: Schnitker, Nino Noel. <i>Genetischer Algorithmus zur Erstellung von Ensembles
    von Nested Dichotomies</i>. 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. <i>Solving the Container Pre-Marshalling Problem Using
    Reinforcement Learning and Structured Output Prediction</i>. Universität Paderborn;
    2017.
  apa: Hetzer, A., &#38; Tornede, T. (2017). <i>Solving the Container Pre-Marshalling
    Problem using Reinforcement Learning and Structured Output Prediction</i>. 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. <i>Solving the Container Pre-Marshalling
    Problem Using Reinforcement Learning and Structured Output Prediction</i>. Universität
    Paderborn, 2017.
  ieee: A. Hetzer and T. Tornede, <i>Solving the Container Pre-Marshalling Problem
    using Reinforcement Learning and Structured Output Prediction</i>. Universität
    Paderborn, 2017.
  mla: Hetzer, Alexander, and Tanja Tornede. <i>Solving the Container Pre-Marshalling
    Problem Using Reinforcement Learning and Structured Output Prediction</i>. 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'
...