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2152 Publications
2023 | Misc | LibreCat-ID: 48450
J. N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA1. Business CANVAS Model – in Green Entrepreneurships. Paderborn, Germany, 2023.
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2023 | Misc | LibreCat-ID: 48452
J. N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA2. Creative Thinking – in Green Entrepreneurships. Paderborn, Germany, 2023.
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2023 | Misc | LibreCat-ID: 48451
J. N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA1. Use, sharing and creating Open Educational Resources – Why is it so important? . Paderborn, Germany, 2023.
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2023 | Misc | LibreCat-ID: 48445
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.
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2023 | Misc | LibreCat-ID: 48449
J. N. Schneider, Green-4-Future. Learning/Teaching/Training Activity –Transnational Training Event LTTA1. Creative Thinking – in Green Entrepreneurships. Paderborn, Germany, 2023.
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2023 | Journal Article | LibreCat-ID: 51345
C. Schulz, “A new algorithmic imaginary,” Media, Culture & Society, vol. 45, no. 3, pp. 646–655, 2023, doi: 10.1177/01634437221136014.
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2023 | Conference Paper | LibreCat-ID: 51373
J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in 26th International Conference on Discovery Science , Porto, 2023, vol. 14050, pp. 189–203, doi: 10.1007/978-3-031-45275-8_13.
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2023 | Preprint | LibreCat-ID: 51372
D. Johnson, O. Hakobyan, and H. Drimalla, “Towards Interpretability in Audio and Visual Affective Machine Learning: A Review.” 2023.
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2023 | Conference Paper | LibreCat-ID: 51162 | 
J. Hanselle, J. Kornowicz, S. Heid, K. Thommes, and E. Hüllermeier, “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain,” presented at the Lernen, Wissen, Daten, Analysen 2023, Marburg, Germany, 2023.
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2023 | Book Chapter | LibreCat-ID: 48776
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams,” in Machine Learning and Knowledge Discovery in Databases: Research Track, Cham: Springer Nature Switzerland, 2023.
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2023 | Journal Article | LibreCat-ID: 50262
F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,” Machine Learning, vol. 112, no. 12, pp. 4863–4903, 2023, doi: 10.1007/s10994-023-06385-y.
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2023 | Conference Paper | LibreCat-ID: 48775
F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “On Feature Removal for Explainability in Dynamic Environments,” presented at the ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges (Belgium) and online, 2023, doi: 10.14428/esann/2023.es2023-148.
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2023 | Journal Article | LibreCat-ID: 46248 |
C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, and S. Heindorf, “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals,” ECML PKDD, 2023.
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2023 | Conference Paper | LibreCat-ID: 43090
C. R. Bielak et al., “Numerical analysis of failure modeling in clinching process chain simulation,” presented at the SHEMET 2023, 2023, doi: 10.21741/9781644902417-33.
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2023 | Conference Paper | LibreCat-ID: 52475
M. Sengupta, M. Alshomary, I. Scharlau, and H. Wachsmuth, “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms,” 2023, doi: 10.18653/v1/2023.findings-emnlp.308.
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2023 | Conference Paper | LibreCat-ID: 52477
M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2023, doi: 10.18653/v1/2022.flp-1.19.
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2023 | Conference Paper | LibreCat-ID: 46974
I. Gräßler and M. Hieb, “Creating Synthetic Datasets for Deep Learning used in Machine Vision,” 2023.
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