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2145 Publications
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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| DOI
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.
LibreCat
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.
LibreCat
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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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| DOI
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.
LibreCat
2023 | Conference Paper | LibreCat-ID: 52839
I. Gräßler, M. Hieb, D. Roesmann, M. Unverzagt, and J. Pottebaum, “Virtual learning environment for teaching the handling of collaborative robots,” 2023, doi: 10.2139/ssrn.4471596.
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2023 | Conference Paper | LibreCat-ID: 52816
I. Gräßler and M. Hieb, “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing,” in Lectures, Nuremberg, 2023, pp. 253–524, doi: 10.5162/smsi2023/d7.4.
LibreCat
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2023 | Journal Article | LibreCat-ID: 49434
A. Schuldt, M. Palm, P. Neumann, O. Böhm-Kasper, C. Demmer, and B. Lütje-Klose, “„Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“,” Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht, vol. 5, no. 4, 2023, doi: 10.11576/DIMAWE-6699.
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2023 | Conference Paper | LibreCat-ID: 53303
M. Kuschel, T. Marrinan, and T. Hasija, “Geodesic-Based Relaxation For Deep Canonical Correlation Analysis,” 2023, doi: 10.1109/mlsp55844.2023.10285937.
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2023 | Conference Paper | LibreCat-ID: 53310
E. G. Gedlu, O. Wallscheid, J. Böcker, and O. Nelles, “Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control,” 2023, doi: 10.1109/sdemped54949.2023.10271427.
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