Neue Sorgfaltspflichten für Unternehmen des Agrar- und Ernährungssektors: Empfehlungen zu aktuellen Gesetzesentwicklungen
A. Spiller, H. Nieberg, B. Renner, A. Balmann, R. Birna, A. Bosy-Westphal, A. Buyken, T. Döring, P. Feindt, K.-U. Götz, J. Linseisen, U. Nöthlings, J. Martínes, M. Pischetsrieder, L. Voget-Kleschin, P. Weingarten, J. Wesseler, C. Wieck, Neue Sorgfaltspflichten Für Unternehmen Des Agrar- Und Ernährungssektors: Empfehlungen Zu Aktuellen Gesetzesentwicklungen, Wissenschaftlicher Beirat für Agrarpolitik, Ernährung und gesundheitlichen Verbraucherschutz beim BMEL, Berlin, 2023.

Phasenübergreifende Zusammenarbeit in der digitalisierungsbezogenen Lehrer*innenbildung gestalten
K. Drossel, B. Rothstein, Themenheft im Online-Journal aHerausforderung Lehrer_innenbildung 3  Zeitschrift zur Konzeption, Gestaltung und Diskussion (HLZ)8 6 (2) (2023).

Fostering students’ resilience. Analyses towards factors of individual resilience in the computer and information literacy domain
K. Drossel, B. Eickelmann, M. Vennemann, N. Fröhlich, in: T. Keane, C. Lewin, T. Brinda, R. Bottino (Eds.), Towards a collaborative society through creative learning, Springer Nature Switzerland, 2023, pp. 39–50.

Thematic Working Group 8 - Pedagogical Reasoning and Reflective Practice: Teacher's Professional Learning and Development (TLPD) in New Digital Realities
K. Drossel, S. Friesen, M. Phillips, A. Forkosh, R. Christensen, O. Trevisan, D.W. Shaffer, I. Horikoshi, in: M. Phillips, P. Fisser (Eds.), Moving forward to new educational realities in the digital era. Report of EDUsummIT 2023 , 2023, pp. 59–70.

A multiobjective continuation method to compute the regularization path of deep neural networks
A.C. Amakor, K. Sonntag, S. Peitz, ArXiv (2023).

Entwicklung und Evaluation eines Fachpraktikums für das Lehramtsstudium Technik zur Förderung fachpraktischer Kompetenzen
D.L. Ermel, Entwicklung und Evaluation eines Fachpraktikums für das Lehramtsstudium Technik zur Förderung fachpraktischer Kompetenzen, RWTH Aachen University, 2023.

Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Business CANVAS Model – in Green Entrepreneurships
J.N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Business CANVAS Model – in Green Entrepreneurships, Paderborn, Germany, 2023.

Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Creative Thinking – in Green Entrepreneurships
J.N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Creative Thinking – in Green Entrepreneurships, Paderborn, Germany, 2023.

Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Use, sharing and creating Open Educational Resources – Why is it so important? 
J.N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Use, Sharing and Creating Open Educational Resources – Why Is It so Important? , Paderborn, Germany, 2023.

SAFE -Streaming approaches for Europe - Enhancing the digital competences by streaming approaches for schools to tackle the challenges of COVID-19. The SAFE Learning Videos
J.N. Schneider, SAFE -Streaming Approaches for Europe - Enhancing the Digital Competences by Streaming Approaches for Schools to Tackle the Challenges of COVID-19. The SAFE Learning Videos, Cologne, Germany, 2023.

Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Creative Thinking – in Green Entrepreneurships
J.N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Creative Thinking – in Green Entrepreneurships, Paderborn, Germany, 2023.

A new algorithmic imaginary
C. Schulz, Media, Culture &; Society 45 (2023) 646–655.

Probabilistic Scoring Lists for Interpretable Machine Learning
J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: 26th International Conference on Discovery Science , Springer Nature Switzerland, Cham, 2023, pp. 189–203.

Towards Interpretability in Audio and Visual Affective Machine Learning: A Review
D. Johnson, O. Hakobyan, H. Drimalla, (2023).

Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain
J. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, 2023.

iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.

Incremental permutation feature importance (iPFI): towards online explanations on data streams
F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, Machine Learning 112 (2023) 4863–4903.

On Feature Removal for Explainability in Dynamic Environments
F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, in: ESANN 2023 Proceedings, i6doc.com publ., 2023.

LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals
C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, S. Heindorf, ECML PKDD (2023).

Numerical analysis of failure modeling in clinching process chain simulation
C.R. Bielak, M. Böhnke, J. Friedlein, M. Bobbert, J. Mergheim, P. Steinmann, G. Meschut, in: Materials Research Proceedings, Materials Research Forum LLC, 2023.