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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 .

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.

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.

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 .

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 .

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 .

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).

Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.

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 .

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 .

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. 

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 .

Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.

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.

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 .

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.

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.

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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