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2156 Publications
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
LibreCat
| DOI
2023 | Preprint | LibreCat-ID: 51372
Johnson, D., Hakobyan, O., & Drimalla, H. (2023). Towards Interpretability in Audio and Visual Affective Machine Learning: A Review.
LibreCat
2023 | Conference Paper | LibreCat-ID: 51162 | 
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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| DOI
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
LibreCat
| DOI
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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| DOI
2023 | Journal Article | LibreCat-ID: 46248 |
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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| DOI
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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| DOI
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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| DOI
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
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 46974
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Datasets for Deep Learning used in Machine Vision.
LibreCat
2023 | Conference Paper | LibreCat-ID: 52839
Gräßler, I., Hieb, M., Roesmann, D., Unverzagt, M., & Pottebaum, J. (2023). Virtual learning environment for teaching the handling of collaborative robots. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4471596
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 52816
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. Lectures, 253–524. https://doi.org/10.5162/smsi2023/d7.4
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| DOI
2023 | Journal Article | LibreCat-ID: 49434
Schuldt, A., Palm, M., Neumann, P., Böhm-Kasper, O., Demmer, C., & Lütje-Klose, B. (2023). „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, 5(4). https://doi.org/10.11576/DIMAWE-6699
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
Kuschel, M., Marrinan, T., & Hasija, T. (2023). Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). https://doi.org/10.1109/mlsp55844.2023.10285937
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53310
Gedlu, E. G., Wallscheid, O., Böcker, J., & Nelles, O. (2023). Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). https://doi.org/10.1109/sdemped54949.2023.10271427
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| DOI
2023 | Book Chapter | LibreCat-ID: 35904
Böttger, L., & Niederhaus, C. (2023). CLIL - Content and Language Integrated Learning. In C. Efing & Z. Kalkavan-Aydin (Eds.), Berufs- und Fachsprache Deutsch in Wissenschaft und Praxis. Ein Handbuch aus DaF- und DaZ Perspektive. De Gruyter. https://doi.org/10.1515/9783110745504
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53235
Lehmann, I., Adali, T., Kruizinga, P., & Hunyadi, B. (2023). Deriving 3D Functional Brain Regions from Multi-Slice Functional Ultrasound Data Using ICA and IVA. 2023 57th Asilomar Conference on Signals, Systems, and Computers. https://doi.org/10.1109/ieeeconf59524.2023.10477081
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