--- _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' ...