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 .
LibreCat: /record/21004
DOI: 10.1109/tpami.2021.3051276

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 .
LibreCat: /record/21005
DOI: 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.
LibreCat: /record/21479

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.
LibreCat: /record/21543

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 .
LibreCat: /record/22481
DOI: 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 .
LibreCat: /record/21808
DOI: 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 .
LibreCat: /record/27381
DOI: 10.1007/978-3-030-88942-5
arXiv: 2104.08869

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).
LibreCat: /record/20212

Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
LibreCat: /record/33854

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 .
LibreCat: /record/29102
DOI: 10.1007/978-3-658-32568-8_22