Hasnain, A., &; Karl, H. (n.d.). Learning Coflow Admissions. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Vancouver BC Canada: IEEE Communications Society.https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599 
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DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484599

Afifi, H., Ramaswamy, A., &; Karl, H. (2021). A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In 2021 IEEE 18th Annual Consumer Communications \'26; Networking Conference (CCNC) (CCNC 2021).
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Schneider, S. B., Qarawlus, H., &; Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA: IEEE.
LibreCat: /record/21543

Sander, T., Lange, S., Hilleringmann, U., Geneis, V., Hedayat, C., Kuhn, H., &; Gockel, F.-B. (2021). Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction. In 22nd IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE.https://doi.org/10.1109/icit46573.2021.9453646 
LibreCat: /record/22481
DOI: 10.1109/icit46573.2021.9453646

Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., &; Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management.https://doi.org/10.1109/TNSM.2021.3076503 
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DOI: 10.1109/TNSM.2021.3076503

Damke, C., &; Hüllermeier, E. (2021). Ranking Structured Objects with Graph Neural Networks. In C. Soares &; L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021) (Vol. 12986, pp. 166–180). Springer.https://doi.org/10.1007/978-3-030-88942-5 
LibreCat: /record/27381
DOI: 10.1007/978-3-030-88942-5
arXiv: 2104.08869

Prester, J., Wagner, G., Schryen, G., &; Hassan, N. R. (2021). Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems, 140(January), Article 113432.
LibreCat: /record/20212

Schneider, S. B., Karl, H., Khalili, R., &; Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.
LibreCat: /record/33854

Gerholz, K.-H., &; Goller, M. (2021). Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis. In C. Caruso, C. Harteis, &; A. Gröschner (Eds.), Edition Fachdidaktiken (pp. 393–419). Springer.https://doi.org/10.1007/978-3-658-32568-8_22 
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DOI: 10.1007/978-3-658-32568-8_22

Bonanati, S., &; Buhl, H. M. (2021). The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research, 25(2), 485–505.https://doi.org/10.1007/s10984-021-09377-8 
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DOI: 10.1007/s10984-021-09377-8

Goller, M., Caruso, C., &; Harteis, C. (2021). Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers. International Journal for Research in Vocational Education and Training, 8(2), 208–223.https://doi.org/10.13152/IJRVET.8.2.4. 
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DOI: 10.13152/IJRVET.8.2.4.

Berisha-Gawlowski,https://doi.org/10.1007/978-3-030-55878-9_6__Angelina, Caruso, C., &; Harteis, C. (2021). The Concept of a Digital Twin and Its Potential for Learning Organizations. In D. Ifenthaler, S. Hofhues, M. Egloffstein, &; C. Helbig (Eds.), Digital Transformation of Learning Organizations   (pp. 95–114). Springer.https://doi.org/10.1007/978-3-030-55878-9_6 
LibreCat: /record/35464
DOI: 10.1007/978-3-030-55878-9_6

Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination.
LibreCat: /record/35889

Müller, O., Caron, M., Döring, M., Heuwinkel, T., &; Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.
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Bruns, J., Gasteiger, H., &; Strahl, C. (2021). Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education, 9(2), 500–538.https://doi.org/10.1002/rev3.3255 
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DOI: 10.1002/rev3.3255
WoS: 000614156400001

Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., &; Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE.
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Kersting, J., &; Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123.
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Kersting, J., &; Geierhos, M. (2020). 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) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.
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Harteis, C., Goller, M., &; Caruso, C. (2020). Conceptual Change in the Face of Digitalization. Frontiers in Education, 5(1).https://doi.org/10.3389/feduc.2020.00001 
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DOI: 10.3389/feduc.2020.00001

Caruso, C., Adammek, C., Bonanati, S., &; Wiescholek, S. (2020). Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, 3(1), 18–33.https://doi.org/10.4119/hlz-2540 
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DOI: 10.4119/hlz-2540