Drossel, Kerstin, S. Friesen, M. Phillips, A. Forkosh, R. Christensen, O. Trevisan, D.W. Shaffer, and I. Horikoshi. “Thematic Working Group 8 - Pedagogical Reasoning and Reflective Practice: Teacher’s Professional Learning and Development (TLPD) in New Digital Realities.” In Moving forward to new educational realities in the digital era. Report of EDUsummIT 2023 , edited by M. Phillips and P. Fisser, 59–70, 2023.
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Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” ArXiv, 2023.
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Ermel, Dorothee Leonie. Entwicklung und Evaluation eines Fachpraktikums für das Lehramtsstudium Technik zur Förderung fachpraktischer Kompetenzen. RWTH Aachen University, 2023.https://doi.org/10.18154/RWTH-2023-03787 .
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Schneider, Jennifer Nicole. Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Business CANVAS Model – in Green Entrepreneurships. Paderborn, Germany, 2023.
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Schneider, Jennifer Nicole. Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Creative Thinking – in Green Entrepreneurships. Paderborn, Germany, 2023.
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Schneider, Jennifer Nicole. 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.
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Schneider, Jennifer Nicole. 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.
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Schneider, Jennifer Nicole. Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTT. Creative Thinking – in Green Entrepreneurships. Paderborn, Germany, 2023.
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Schulz, Christian. “A New Algorithmic Imaginary.”https://doi.org/10.1177/01634437221136014__Media, Culture &; Society 45, no. 3 (2023): 646–55.https://doi.org/10.1177/01634437221136014 .
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Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.”https://doi.org/10.1007/978-3-031-45275-8_13__In 26th International Conference on Discovery Science , 14050:189–203. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023.https://doi.org/10.1007/978-3-031-45275-8_13 .
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Johnson, David , Olya Hakobyan, and Hanna Drimalla. “Towards Interpretability in Audio and Visual Affective Machine Learning: A Review,” 2023.
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Hanselle, Jonas, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes, and Eyke Hüllermeier. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.” In Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, 2023.
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Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.”https://doi.org/10.1007/978-3-031-43418-1_26__In Machine Learning and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature Switzerland, 2023.https://doi.org/10.1007/978-3-031-43418-1_26 .
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Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.”https://doi.org/10.1007/s10994-023-06385-y__Machine Learning 112, no. 12 (2023): 4863–4903.https://doi.org/10.1007/s10994-023-06385-y .
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Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “On Feature Removal for Explainability in Dynamic Environments.”https://doi.org/10.14428/esann/2023.es2023-148__In ESANN 2023 Proceedings. i6doc.com publ., 2023.https://doi.org/10.14428/esann/2023.es2023-148 .
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Demir, Caglar, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, and Stefan Heindorf. “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals.” ECML PKDD, 2023.
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Bielak, Christian Roman, Max Böhnke, Johannes Friedlein, Mathias Bobbert, Julia Mergheim, Paul Steinmann, and Gerson Meschut. “Numerical Analysis of Failure Modeling in Clinching Process Chain Simulation.”https://doi.org/10.21741/9781644902417-33__In Materials Research Proceedings. Materials Research Forum LLC, 2023.https://doi.org/10.21741/9781644902417-33 .
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Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.”https://doi.org/10.18653/v1/2023.findings-emnlp.308__In Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, 2023.https://doi.org/10.18653/v1/2023.findings-emnlp.308 .
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Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.”https://doi.org/10.18653/v1/2022.flp-1.19__In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP). Association for Computational Linguistics, 2023.https://doi.org/10.18653/v1/2022.flp-1.19 .
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Seiler, Moritz Vinzent, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.”https://doi.org/10.1109/SSCI52147.2023.10372008__In 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 361–68, n.d.https://doi.org/10.1109/SSCI52147.2023.10372008 .
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