[{"status":"public","has_accepted_license":"1","_id":"27284","ddc":["000"],"user_id":"33176","supervisor":[{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke","id":"48129"}],"citation":{"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>","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>.","ieee":"M. D. Wever, <i>Automated Machine Learning for Multi-Label Classification</i>. 2021.","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>","short":"M.D. Wever, Automated Machine Learning for Multi-Label Classification, 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>.","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} }"},"file_date_updated":"2022-04-13T09:39:56Z","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"}],"oa":"1","author":[{"full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","id":"33176"}],"year":"2021","title":"Automated Machine Learning for Multi-Label Classification","date_updated":"2022-04-13T09:39:56Z","publication_status":"published","language":[{"iso":"eng"}],"doi":"10.17619/UNIPB/1-1302","date_created":"2021-11-08T14:05:19Z","file":[{"date_created":"2022-04-13T09:35:25Z","creator":"wever","content_type":"application/pdf","file_id":"30886","date_updated":"2022-04-13T09:39:56Z","relation":"main_file","access_level":"open_access","file_size":8098177,"file_name":"dissertation_publish_upload.pdf"}],"department":[{"_id":"355"}],"type":"dissertation"},{"department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"type":"bachelorsthesis","date_created":"2019-09-20T14:58:49Z","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"supervisor":[{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"id":"42496","full_name":"Geierhos, Michaela","orcid":"0000-0002-8180-5606","first_name":"Michaela","last_name":"Geierhos"}],"citation":{"ieee":"E. Friesen, <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.","short":"E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis, Universität Paderborn, 2019.","chicago":"Friesen, Edwin. <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.","bibtex":"@book{Friesen_2019, title={Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis}, publisher={Universität Paderborn}, author={Friesen, Edwin}, year={2019} }","ama":"Friesen E. <i>Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis</i>. Universität Paderborn; 2019."},"user_id":"477","language":[{"iso":"ger"}],"_id":"13435","publisher":"Universität Paderborn","date_updated":"2022-01-06T06:51:36Z","author":[{"full_name":"Friesen, Edwin","last_name":"Friesen","first_name":"Edwin"}],"year":"2019","title":"Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis","status":"public"},{"status":"public","year":"2018","title":"Ranking of Classification Algorithms in AutoML","author":[{"id":"52640","full_name":"Graf, Helena","last_name":"Graf","first_name":"Helena"}],"date_updated":"2022-01-06T07:02:35Z","language":[{"iso":"eng"}],"_id":"5693","publisher":"Universität Paderborn","user_id":"33176","supervisor":[{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke","id":"48129"}],"citation":{"chicago":"Graf, Helena. <i>Ranking of Classification Algorithms in AutoML</i>. Universität Paderborn, 2018.","ama":"Graf H. <i>Ranking of Classification Algorithms in AutoML</i>. Universität Paderborn; 2018.","short":"H. Graf, Ranking of Classification Algorithms in AutoML, Universität Paderborn, 2018.","bibtex":"@book{Graf_2018, title={Ranking of Classification Algorithms in AutoML}, publisher={Universität Paderborn}, author={Graf, Helena}, year={2018} }","apa":"Graf, H. (2018). <i>Ranking of Classification Algorithms in AutoML</i>. Universität Paderborn.","mla":"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."},"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - Subproject B2"}],"date_created":"2018-11-15T08:06:41Z","type":"bachelorsthesis","department":[{"_id":"355"}]},{"date_updated":"2022-01-06T07:02:47Z","author":[{"full_name":"Scheibl, Manuel","first_name":"Manuel","last_name":"Scheibl"}],"status":"public","year":"2018","title":"Learning about learning curves from dataset properties","user_id":"477","_id":"5936","publisher":"Universität Paderborn","language":[{"iso":"eng"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"}],"supervisor":[{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"}],"citation":{"mla":"Scheibl, Manuel. <i>Learning about Learning Curves from Dataset Properties</i>. Universität Paderborn, 2018.","ama":"Scheibl M. <i>Learning about Learning Curves from Dataset Properties</i>. Universität Paderborn; 2018.","bibtex":"@book{Scheibl_2018, title={Learning about learning curves from dataset properties}, publisher={Universität Paderborn}, author={Scheibl, Manuel}, year={2018} }","apa":"Scheibl, M. (2018). <i>Learning about learning curves from dataset properties</i>. Universität Paderborn.","ieee":"M. Scheibl, <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.","chicago":"Scheibl, Manuel. <i>Learning about Learning Curves from Dataset Properties</i>. Universität Paderborn, 2018."},"department":[{"_id":"355"}],"type":"bachelorsthesis","date_created":"2018-11-28T10:29:53Z"},{"date_created":"2018-11-15T08:10:48Z","department":[{"_id":"355"}],"type":"bachelorsthesis","citation":{"mla":"Schnitker, Nino Noel. <i>Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies</i>. Universität Paderborn, 2017.","ama":"Schnitker NN. <i>Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies</i>. Universität Paderborn; 2017.","bibtex":"@book{Schnitker_2017, title={Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies}, publisher={Universität Paderborn}, author={Schnitker, Nino Noel}, year={2017} }","apa":"Schnitker, N. N. (2017). <i>Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies</i>. Universität Paderborn.","ieee":"N. N. Schnitker, <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.","chicago":"Schnitker, Nino Noel. <i>Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies</i>. Universität Paderborn, 2017."},"supervisor":[{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"}],"_id":"5694","language":[{"iso":"ger"}],"publisher":"Universität Paderborn","user_id":"477","author":[{"full_name":"Schnitker, Nino Noel","first_name":"Nino Noel","last_name":"Schnitker"}],"status":"public","year":"2017","title":"Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies","date_updated":"2022-01-06T07:02:35Z"},{"_id":"5724","publisher":"Universität Paderborn","language":[{"iso":"eng"}],"user_id":"477","author":[{"id":"38209","first_name":"Alexander","last_name":"Hetzer","full_name":"Hetzer, Alexander"},{"last_name":"Tornede","first_name":"Tanja","full_name":"Tornede, Tanja"}],"status":"public","title":"Solving the Container Pre-Marshalling Problem using Reinforcement Learning and Structured Output Prediction","year":"2017","date_updated":"2022-01-06T07:02:37Z","date_created":"2018-11-19T07:49:13Z","department":[{"_id":"355"},{"_id":"199"}],"type":"mastersthesis","supervisor":[{"last_name":"Mohr","first_name":"Felix","full_name":"Mohr, Felix"},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"},{"full_name":"Tierney, Kevin","first_name":"Kevin","last_name":"Tierney"}],"citation":{"ieee":"A. Hetzer and T. Tornede, <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.","chicago":"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.","mla":"Hetzer, Alexander, and Tanja Tornede. <i>Solving the Container Pre-Marshalling Problem Using Reinforcement Learning and Structured Output Prediction</i>. Universität Paderborn, 2017.","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} }","ama":"Hetzer A, Tornede T. <i>Solving the Container Pre-Marshalling Problem Using Reinforcement Learning and Structured Output Prediction</i>. Universität Paderborn; 2017."},"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"}]}]
