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2152 Publications


2023 | Dissertation | LibreCat-ID: 51222
Ermel, D. L. (2023). Entwicklung und Evaluation eines Fachpraktikums für das Lehramtsstudium Technik zur Förderung fachpraktischer Kompetenzen. RWTH Aachen University. https://doi.org/10.18154/RWTH-2023-03787
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2023 | Misc | LibreCat-ID: 48450
Schneider, J. N. (2023). Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA1. Business CANVAS Model – in Green Entrepreneurships.
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2023 | Misc | LibreCat-ID: 48452
Schneider, J. N. (2023). Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA2. Creative Thinking – in Green Entrepreneurships.
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2023 | Misc | LibreCat-ID: 48451
Schneider, J. N. (2023). Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA1. Use, sharing and creating Open Educational Resources – Why is it so important? .
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2023 | Misc | LibreCat-ID: 48445
Schneider, J. N. (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.
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2023 | Misc | LibreCat-ID: 48449
Schneider, J. N. (2023). Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA1. Creative Thinking – in Green Entrepreneurships.
LibreCat | Files available
 

2023 | Journal Article | LibreCat-ID: 51345
Schulz, C. (2023). A new algorithmic imaginary. Media, Culture & Society, 45(3), 646–655. https://doi.org/10.1177/01634437221136014
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2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. 26th International Conference on Discovery Science , 14050, 189–203. https://doi.org/10.1007/978-3-031-45275-8_13
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2023 | Preprint | LibreCat-ID: 51372
Johnson, D., Hakobyan, O., & Drimalla, H. (2023). Towards Interpretability in Audio and Visual Affective Machine Learning: A Review.
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2023 | Conference Paper | LibreCat-ID: 51162 | OA
Hanselle, J., Kornowicz, J., Heid, S., Thommes, K., & Hüllermeier, E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings. Lernen, Wissen, Daten, Analysen 2023, Marburg, Germany.
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2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2023). iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. In Machine Learning and Knowledge Discovery in Databases: Research Track. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43418-1_26
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2023 | Journal Article | LibreCat-ID: 50262
Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning, 112(12), 4863–4903. https://doi.org/10.1007/s10994-023-06385-y
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2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). On Feature Removal for Explainability in Dynamic Environments. ESANN 2023 Proceedings. ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges (Belgium) and online. https://doi.org/10.14428/esann/2023.es2023-148
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2023 | Journal Article | LibreCat-ID: 46248 | OA
Demir, C., Wiebesiek, M., Lu, R., Ngonga Ngomo, A.-C., & Heindorf, S. (2023). LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. ECML PKDD. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino.
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2023 | Conference Paper | LibreCat-ID: 43090
Bielak, C. R., Böhnke, M., Friedlein, J., Bobbert, M., Mergheim, J., Steinmann, P., & Meschut, G. (2023). Numerical analysis of failure modeling in clinching process chain simulation. Materials Research Proceedings. SHEMET 2023. https://doi.org/10.21741/9781644902417-33
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2023 | Conference Paper | LibreCat-ID: 52475
Sengupta, M., Alshomary, M., Scharlau, I., & Wachsmuth, H. (2023). Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. Findings of the Association for Computational Linguistics: EMNLP 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.308
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2023 | Conference Paper | LibreCat-ID: 52477
Sengupta, M., Alshomary, M., & Wachsmuth, H. (2023). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings of the 3rd Workshop on Figurative Language Processing (FLP). https://doi.org/10.18653/v1/2022.flp-1.19
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2023 | Book Chapter | LibreCat-ID: 52696
Kruse, A., Müller, L., Ott, M., Koch, R., Hügel, J., Finke, F., Winter, S., & Gust, T. (2023). proDruck 3D-Druck – Technologie der Industrie 4.0 – als Mittel der Inklusion für Menschen mit Behinderungen in die Arbeitswelt. In Personennahe Dienstleistungen der Zukunft. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-38813-3_16
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2023 | Book Chapter | LibreCat-ID: 52698
Kruse, A., Müller, L., Ott, M., Jung, P., Koch, R., Hügel, J., Finke, F., Winter, S., & Gust, T. (2023). 3D-Druck – Eine Technologie als Schlüssel zur Steigerung der Teilhabe. In Personennahe Dienstleistungen der Zukunft. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-38813-3_7
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2023 | Conference Paper | LibreCat-ID: 46974
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Datasets for Deep Learning used in Machine Vision.
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