M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,”10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1, 2021, doi:10.1109/tpami.2021.3051276 .
LibreCat: /record/21004
DOI: 10.1109/tpami.2021.3051276

A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver BC Canada.
LibreCat: /record/21005
DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484599

H. Afifi, A. Ramaswamy, and H. 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

S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed Computing Systems (ICDCS), Washington, DC, USA, 2021.
LibreCat: /record/21543

T. Sander et al., “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 , 2021.
LibreCat: /record/22481
DOI: 10.1109/icit46573.2021.9453646

S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.
LibreCat: /record/21808
DOI: 10.1109/TNSM.2021.3076503

C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,”10.1007/978-3-030-88942-5__in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi:10.1007/978-3-030-88942-5 .
LibreCat: /record/27381
DOI: 10.1007/978-3-030-88942-5
arXiv: 2104.08869

J. Prester, G. Wagner, G. Schryen, and N. R. Hassan, “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach,” Decision Support Systems, vol. 140, no. January, Art. no. 113432, 2021.
LibreCat: /record/20212

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

K.-H. Gerholz and M. Goller, “Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis,” in Edition Fachdidaktiken, C. Caruso, C. Harteis, and A. Gröschner, Eds. Wiesbaden: Springer, 2021, pp. 393–419.
LibreCat: /record/29102
DOI: 10.1007/978-3-658-32568-8_22

S. Bonanati and H. M. Buhl, “The digital home learning environment and its relation to children’s ICT self-efficacy,”10.1007/s10984-021-09377-8__Learning Environments Research, vol. 25, no. 2, pp. 485–505, 2021, doi:10.1007/s10984-021-09377-8 .
LibreCat: /record/32558
DOI: 10.1007/s10984-021-09377-8

M. Goller, C. Caruso, and C. Harteis, “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers,”10.13152/IJRVET.8.2.4.__International Journal for Research in Vocational Education and Training, vol. 8, no. 2, pp. 208–223, 2021, doi:10.13152/IJRVET.8.2.4. 
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DOI: 10.13152/IJRVET.8.2.4.

Angelina Berisha-Gawlowski, C. Caruso, and C. Harteis, “The Concept of a Digital Twin and Its Potential for Learning Organizations,” in Digital Transformation of Learning Organizations  , D. Ifenthaler, S. Hofhues, M. Egloffstein, and C. Helbig, Eds. Cham: Springer, 2021, pp. 95–114.
LibreCat: /record/35464
DOI: 10.1007/978-3-030-55878-9_6

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

O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.
LibreCat: /record/24547

J. Bruns, H. Gasteiger, and C. Strahl, “Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review,”10.1002/rev3.3255__Review of Education, vol. 9, no. 2, pp. 500–538, 2021, doi:10.1002/rev3.3255 .
LibreCat: /record/34822
DOI: 10.1002/rev3.3255
WoS: 000614156400001

S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020.
LibreCat: /record/19609

J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.
LibreCat: /record/18686

J. Kersting and M. 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), Valetta, Malta, 2020, pp. 391--400.
LibreCat: /record/15580

C. Harteis, M. Goller, and C. Caruso, “Conceptual Change in the Face of Digitalization,”10.3389/feduc.2020.00001__Frontiers in Education, vol. 5, no. 1, 2020, doi:10.3389/feduc.2020.00001 .
LibreCat: /record/35313
DOI: 10.3389/feduc.2020.00001