Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE; 2022.

Harteis C, Gijbels D, Kyndt E, eds. Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2

Goller M, Paloniemi S. Agency: Taking Stock of Workplace Learning Research. In: Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2_1

Maalouly J, Hemker D, Hedayat C, et al. AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. In: 2022 Kleinheubach Conference. IEEE; 2022.

Sander T, Lange S, Hilleringmann U, Geneiß V, Hedayat C, Kuhn H. Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. In: 2022 Smart Systems Integration (SSI). IEEE; 2022. doi:10.1109/ssi56489.2022.9901433

Janicki N. Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern. In: Binder M, Wiesmüller C, Finkbeiner T, eds. Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. . ; 2022:266-286.

Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022). Vol 55. ; 2022:19-24. doi:https://doi.org/10.1016/j.ifacol.2022.07.282

Auer TF. Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. die hochschullehre. 2022;8(1):662-675. doi:http://doi.org/10.3278/HSL2248W

Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences. 2022;12(18):9094. doi:10.3390/app12189094

Burs C, Gries T. Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules. Vol No. 149.  Paderborn University, CIE Center for International Economics; 2022.

Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs. In: Sattler U, Hogan A, Keet M, Presutti V, eds. The Semantic Web -- ISWC 2022. Springer International Publishing; :462--480. doi:10.1007/978-3-031-19433-7_27

Bloh T, Caruso C. Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. die hochschullehre. 2022;8(21):299–312. doi:10.3278/HSL2221W

Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the lexicon of platforms in information systems: a data-driven study. Electronic Markets. 2022;32:375-396. doi:10.1007/s12525-022-00530-6

Sieger LN, Hermann J, Schomäcker A, et al. User Involvement in Training Smart Home Agents. In: International Conference on Human-Agent Interaction. ACM; 2022. doi:10.1145/3527188.3561914

Afifi H, Sauer FJ, Karl H. Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. In: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21). ; 2021.

Afifi H, Guenther M, Brendel A, Karl H, Kellermann W. 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.

Hasnain A, Karl H. Learning Flow Scheduling. In: 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC). IEEE Computer Society. doi:https://doi.org/10.1109/CCNC49032.2021.9369514

Drumm S, Müller M, Stenzel N. Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie. Informationen Deutsch als Fremdsprache. 2021;48(5):496-515. doi:10.1515/infodaf-2021-0069

Bäumer FS, Kersting J, Denisov S, Geierhos M. IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021. IADIS; 2021:221--225.

Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing Education. In: 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. Association for Computing Machinery; 2021. doi:10.1145/3488042.3490509

Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276

Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599

Afifi H, Ramaswamy A, Karl H. 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 SB, Qarawlus H, Karl H. Distributed Online Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE; 2021.

Sander T, Lange S, Hilleringmann U, 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 : IEEE; 2021. doi:10.1109/icit46573.2021.9453646

Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. 2021. doi:10.1109/TNSM.2021.3076503

Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks. In: Soares C, Torgo L, eds. Proceedings of The 24th International Conference on Discovery Science (DS 2021). Vol 12986. Lecture Notes in Computer Science. Springer; 2021:166-180. doi:10.1007/978-3-030-88942-5

Prester J, Wagner G, Schryen G, Hassan NR. Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems. 2021;140(January).

Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.; 2021.

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

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

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

Berisha-Gawlowski10.1007/978-3-030-55878-9_6__Angelina, Caruso C, Harteis C. The Concept of a Digital Twin and Its Potential for Learning Organizations. In: Ifenthaler D, Hofhues S, Egloffstein M, Helbig C, eds. Digital Transformation of Learning Organizations  . Springer; 2021:95–114. doi:10.1007/978-3-030-55878-9_6

Schneider SB. Conventional and Machine Learning Approaches for Network and Service Coordination.; 2021.

Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. 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).

Bruns J, Gasteiger H, Strahl C. Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education. 2021;9(2):500-538. doi:10.1002/rev3.3255

Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.

Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020. IADIS; 2020:119--123.

Kersting J, Geierhos M. 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). Setúbal, Portugal: SCITEPRESS; 2020:391--400.

Harteis C, Goller M, Caruso C. Conceptual Change in the Face of Digitalization. Frontiers in Education. 2020;5(1). doi:10.3389/feduc.2020.00001

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

Hahn CA. Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre. 2020;(6).

Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Parallel Problem Solving from Nature (PPSN XVI). Springer-Verlag; 2020:48–64. doi:10.1007/978-3-030-58112-1_4

Szopinski D. Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models. 2019;7(3):90-100.

Schumacher J, Rezat S. A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In: Jankvist UT, Van den Heuvel-Panhuizen M, Veldhuis M, eds. Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERM, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group &; Freudenthal Institute, Utrecht University and ERME.

Redder A, Ramaswamy A, Quevedo D. 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.

Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasut E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol 12. ; 2019:65-73.

Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2

Harteis C, Fischer C. Wissensmanagement unter Bedingungen von Arbeit 4.0. In: Maier GW, Engels G, Steffen E, eds. Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten. Berlin, Heidelberg: Springer; 2018:1--18.

Fischer C, Goller M, Brinkmann L, Harteis C. Digitalisation of Work: Between Affordances and Constraints for Learning at Work. In: Ifenthaler D, ed. Digital Workplace Learning. Cham: Springer; 2018:227--249.