Schneider, Stefan Balthasar, Stefan Werner, Ramin Khalili, Artur Hecker, and Holger Karl. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” In IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE, 2022.
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Harteis, Christian, David Gijbels, and Eva Kyndt, eds. Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-030-89582-2 .
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Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.”https://doi.org/10.1007/978-3-030-89582-2_1__In Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-030-89582-2_1 .
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Maalouly, Jad, Dennis Hemker, Christian Hedayat, Christian Rückert, Ivan Kaufmann, Marcel Olbrich, Sven Lange, and Harald Mathis. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” In 2022 Kleinheubach Conference. Miltenberg, Germany: IEEE, 2022.
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Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneiß, Christian Hedayat, and Harald Kuhn. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.”https://doi.org/10.1109/ssi56489.2022.9901433__In 2022 Smart Systems Integration (SSI). Grenoble, France: IEEE, 2022.https://doi.org/10.1109/ssi56489.2022.9901433 .
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Janicki, Nicole. “Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern.” In Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. , edited by Martin Binder, Christian Wiesmüller, and Timo Finkbeiner, 266–86, 2022.
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Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.”https://doi.org/10.1016/j.ifacol.2022.07.282__In 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55:19–24, 2022.https://doi.org/10.1016/j.ifacol.2022.07.282 .
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Auer, Thorsten Fabian. “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie.”https://doi.org/10.3278/HSL2248W__die hochschullehre 8, no. 1 (2022): 662–75.https://doi.org/10.3278/HSL2248W .
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Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.”https://doi.org/10.3390/app12189094__Applied Sciences 12, no. 18 (2022): 9094.https://doi.org/10.3390/app12189094 .
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Burs, Carina, and Thomas Gries. Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules. Vol. No. 149. Working Papers CIE.  Paderborn University, CIE Center for International Economics, 2022.
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Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.”https://doi.org/10.1007/978-3-031-19433-7_27__In The Semantic Web -- ISWC 2022, edited by Ulrike Sattler, Aidan Hogan, Maria Keet, and Valentina Presutti, 462--480. Cham: Springer International Publishing, n.d.https://doi.org/10.1007/978-3-031-19433-7_27 .
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Bloh, Thiemo, and Carina Caruso. “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung.”https://doi.org/10.3278/HSL2221W__die hochschullehre 8, no. 21 (2022): 299–312.https://doi.org/10.3278/HSL2221W .
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Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.”https://doi.org/10.1007/s12525-022-00530-6__Electronic Markets 32 (2022): 375–96.https://doi.org/10.1007/s12525-022-00530-6 .
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Sieger, Leonie Nora, Julia Hermann, Astrid Schomäcker, Stefan Heindorf, Christian Meske, Celine-Chiara Hey, and Ayfegül Dofangün. “User Involvement in Training Smart Home Agents.”https://doi.org/10.1145/3527188.3561914__In International Conference on Human-Agent Interaction. ACM, 2022.https://doi.org/10.1145/3527188.3561914 .
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Afifi, Haitham, Fabian Jakob Sauer, and Holger Karl. “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding.” In 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21). Hyderabad, India, 2021.
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Afifi, Haitham, Michael Guenther, Andreas Brendel, Holger Karl, and Walter Kellermann. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.” In 14. ITG Conference on Speech Communication (ITG 2021), 2021.
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Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.”https://doi.org/10.1109/CCNC49032.2021.9369514__In 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC). IEEE Computer Society, n.d.https://doi.org/10.1109/CCNC49032.2021.9369514 .
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Drumm, Sandra, Mareike Müller, and Nadja Stenzel. “Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie.”https://doi.org/10.1515/infodaf-2021-0069__Informationen Deutsch als Fremdsprache 48, no. 5 (2021): 496–515.https://doi.org/10.1515/infodaf-2021-0069 .
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Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225. IADIS, 2021.
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Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.”https://doi.org/10.1145/3488042.3490509__In 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. New York, NY, USA: Association for Computing Machinery, 2021.https://doi.org/10.1145/3488042.3490509 .
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Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.”https://doi.org/10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1.https://doi.org/10.1109/tpami.2021.3051276 .
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Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.”https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599__In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society, n.d.https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599 .
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Afifi, Haitham, Arunselvan Ramaswamy, and Holger Karl. “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.” In 2021 IEEE 18th Annual Consumer Communications \'26; Networking Conference (CCNC) (CCNC 2021), 2021.
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Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE, 2021.
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Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneis, Christian Hedayat, Harald Kuhn, and Franz-Barthold Gockel. “Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction.”https://doi.org/10.1109/icit46573.2021.9453646__In 22nd IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE, 2021.https://doi.org/10.1109/icit46573.2021.9453646 .
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Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.”https://doi.org/10.1109/TNSM.2021.3076503__Transactions on Network and Service Management, 2021.https://doi.org/10.1109/TNSM.2021.3076503 .
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Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.”https://doi.org/10.1007/978-3-030-88942-5__In Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021.https://doi.org/10.1007/978-3-030-88942-5 .
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Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems 140, no. January (2021).
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Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
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Gerholz, Karl-Heinz, and Michael Goller. “Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis.”https://doi.org/10.1007/978-3-658-32568-8_22__In Edition Fachdidaktiken, edited by Carina Caruso, Christian Harteis, and Alexander Gröschner, 393–419. Wiesbaden: Springer, 2021.https://doi.org/10.1007/978-3-658-32568-8_22 .
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Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.”https://doi.org/10.1007/s10984-021-09377-8__Learning Environments Research 25, no. 2 (2021): 485–505.https://doi.org/10.1007/s10984-021-09377-8 .
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Goller, Michael, Carina Caruso, and Christian Harteis. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.”https://doi.org/10.13152/IJRVET.8.2.4.__International Journal for Research in Vocational Education and Training 8, no. 2 (2021): 208–223.https://doi.org/10.13152/IJRVET.8.2.4. 
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Berisha-Gawlowski,https://doi.org/10.1007/978-3-030-55878-9_6__Angelina, Carina Caruso, and Christian Harteis. “The Concept of a Digital Twin and Its Potential for Learning Organizations.”https://doi.org/10.1007/978-3-030-55878-9_6__In Digital Transformation of Learning Organizations  , edited by Dirk Ifenthaler, Sandra Hofhues, Marc Egloffstein, and Christian Helbig, 95–114. Cham: Springer, 2021.https://doi.org/10.1007/978-3-030-55878-9_6 .
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Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.
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Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” In 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.
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Bruns, Julia, Hedwig Gasteiger, and Carolin Strahl. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.”https://doi.org/10.1002/rev3.3255__Review of Education 9, no. 2 (2021): 500–538.https://doi.org/10.1002/rev3.3255 .
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Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020.
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Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.
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Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.
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Harteis, Christian, Michael Goller, and Carina Caruso. “Conceptual Change in the Face of Digitalization.”https://doi.org/10.3389/feduc.2020.00001__Frontiers in Education 5, no. 1 (2020).https://doi.org/10.3389/feduc.2020.00001 .
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Caruso, Carina, Christine Adammek, Sabrina Bonanati, and Sybille Wiescholek. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.”https://doi.org/10.4119/hlz-2540__Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3, no. 1 (2020): 18–33.https://doi.org/10.4119/hlz-2540 .
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Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6 (2020).
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Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.”https://doi.org/10.1007/978-3-030-58112-1_4__In Parallel Problem Solving from Nature (PPSN XVI), 48–64. Berlin, Heidelberg: Springer-Verlag, 2020.https://doi.org/10.1007/978-3-030-58112-1_4 .
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Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models 7, no. 3 (2019): 90–100.
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Schumacher, Jan, and Sebastian Rezat. “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers.” In Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERM, February 6 – 10, 2019), edited by Uffe Thomas Jankvist, Marja Van den Heuvel-Panhuizen, and Michiel Veldhuis. Utrecht, the Netherlands: Freudenthal Group &; Freudenthal Institute, Utrecht University and ERME, n.d.
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Redder, Adrian, Arunselvan Ramaswamy, and Daniel Quevedo. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.
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Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten Schulte. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” In ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Egl Jasut and Sergei Pozdniakov, 12:65–73, 2019.
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Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, and Bernd Bischl. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.”https://doi.org/10.1007/s00180-017-0742-2__Computational Statistics 34, no. 3 (2019): 977–991.https://doi.org/10.1007/s00180-017-0742-2 .
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Harteis, Christian, and Christoph Fischer. “Wissensmanagement Unter Bedingungen von Arbeit 4.0.” In Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten, edited by Günter W. Maier, Gregor Engels, and Eckhard Steffen, 1--18. Berlin, Heidelberg: Springer, 2018.
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Fischer, Christoph, Michael Goller, Lorraine Brinkmann, and Christian Harteis. “Digitalisation of Work: Between Affordances and Constraints for Learning at Work.” In Digital Workplace Learning, edited by Dirk Ifenthaler, 227--249. Cham: Springer, 2018.
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