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2145 Publications
2023 | Misc | LibreCat-ID: 48449
Schneider, Jennifer Nicole. 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
Schulz, Christian. “A New Algorithmic Imaginary.” Media, Culture & Society 45, no. 3 (2023): 646–55. https://doi.org/10.1177/01634437221136014.
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2023 | Conference Paper | LibreCat-ID: 51373
Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” 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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2023 | Preprint | LibreCat-ID: 51372
Johnson, David , Olya Hakobyan, and Hanna Drimalla. “Towards Interpretability in Audio and Visual Affective Machine Learning: A Review,” 2023.
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2023 | Conference Paper | LibreCat-ID: 51162 | 
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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2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke 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. https://doi.org/10.1007/978-3-031-43418-1_26.
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2023 | Journal Article | LibreCat-ID: 50262
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning 112, no. 12 (2023): 4863–4903. https://doi.org/10.1007/s10994-023-06385-y.
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2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “On Feature Removal for Explainability in Dynamic Environments.” In ESANN 2023 Proceedings. i6doc.com publ., 2023. https://doi.org/10.14428/esann/2023.es2023-148.
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2023 | Journal Article | LibreCat-ID: 46248 |
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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2023 | Conference Paper | LibreCat-ID: 43090
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.” In Materials Research Proceedings. Materials Research Forum LLC, 2023. https://doi.org/10.21741/9781644902417-33.
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2023 | Conference Paper | LibreCat-ID: 52475
Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” 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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2023 | Conference Paper | LibreCat-ID: 52477
Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” 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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2023 | Book Chapter | LibreCat-ID: 52696
Kruse, Anne, Laura Müller, Manuel Ott, Rainer Koch, Joachim Hügel, Florian Finke, Stephan Winter, and Thomas Gust. “proDruck 3D-Druck – Technologie der Industrie 4.0 – als Mittel der Inklusion für Menschen mit Behinderungen in die Arbeitswelt.” In Personennahe Dienstleistungen der Zukunft. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. https://doi.org/10.1007/978-3-658-38813-3_16.
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2023 | Book Chapter | LibreCat-ID: 52698
Kruse, Anne, Laura Müller, Manuel Ott, Philipp Jung, Rainer Koch, Joachim Hügel, Florian Finke, Stephan Winter, and Thomas Gust. “3D-Druck – Eine Technologie als Schlüssel zur Steigerung der Teilhabe.” In Personennahe Dienstleistungen der Zukunft. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. https://doi.org/10.1007/978-3-658-38813-3_7.
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2023 | Conference Paper | LibreCat-ID: 46974
Gräßler, Iris, and Michael Hieb. “Creating Synthetic Datasets for Deep Learning Used in Machine Vision.” CIRP , 2023.
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2023 | Conference Paper | LibreCat-ID: 52839
Gräßler, Iris, Michael Hieb, Daniel Roesmann, Marc Unverzagt, and Jens Pottebaum. “Virtual Learning Environment for Teaching the Handling of Collaborative Robots.” In SSRN Electronic Journal. Elsevier BV, 2023. https://doi.org/10.2139/ssrn.4471596.
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2023 | Conference Paper | LibreCat-ID: 52816
Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” In Lectures, 253–524. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023. https://doi.org/10.5162/smsi2023/d7.4.
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2023 | Journal Article | LibreCat-ID: 49434
Schuldt, Alessa , Manfred Palm, Phillip Neumann, Oliver Böhm-Kasper, Christine Demmer, and Birgit 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 5, no. 4 (2023). https://doi.org/10.11576/DIMAWE-6699.
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2023 | Conference Paper | LibreCat-ID: 53303
Kuschel, Maurice, Timothy Marrinan, and Tanuj Hasija. “Geodesic-Based Relaxation For Deep Canonical Correlation Analysis.” In 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2023. https://doi.org/10.1109/mlsp55844.2023.10285937.
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2023 | Conference Paper | LibreCat-ID: 53310
Gedlu, Emebet Gebeyehu, Oliver Wallscheid, Joachim Böcker, and Oliver Nelles. “Online System Identification and Excitation for Thermal Monitoring of Electric Machines Using Machine Learning and Model Predictive Control.” In 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). IEEE, 2023. https://doi.org/10.1109/sdemped54949.2023.10271427.
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