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79 Publications
2023 | Journal Article | LibreCat-ID: 51371
Richter, B., Putze, F., Ivucic, G., Brandt, M., Schütze, C., Reisenhofer, R., Wrede, B., & Schultz, T. (2023). EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies and Interaction, 7(4), Article 37. https://doi.org/10.3390/mti7040037
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| DOI
2023 | Conference Paper | LibreCat-ID: 51370
Dyck, L., Beierling, H., Helmert, R., & Vollmer, A.-L. (2023). Technical Transparency for Robot Navigation Through AR Visualizations. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 720–724. https://doi.org/10.1145/3568294.3580181
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| DOI
2023 | Journal Article | LibreCat-ID: 51368
Esposito, E. (2023). Does Explainability Require Transparency? Sociologica, 16(3), 17–27. https://doi.org/10.6092/ISSN.1971-8853/15804
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| DOI
2023 | Journal Article | LibreCat-ID: 51369
Esposito, E. (2023). Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction. Sociologica, 16(3), 1–4. https://doi.org/10.6092/ISSN.1971-8853/16265
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2023 | Conference Paper | LibreCat-ID: 44849 |

Rautenberg, F., Kuhlmann, M., Ebbers, J., Wiechmann, J., Seebauer, F., Wagner, P., & Haeb-Umbach, R. (2023). Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics. Fortschritte Der Akustik - DAGA 2023, 1409–1412.
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2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer, B. (2023). SHAP-IQ: Unified Approximation of any-order Shapley Interactions. NeurIPS 2023 - Advances in Neural Information Processing Systems, 36, 11515--11551.
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2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. In Discovery Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45275-8_13
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2023 | Conference Paper | LibreCat-ID: 55155
Robrecht, A., & Kopp, S. (2023). SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation. Proceedings of the 15th International Conference on Agents and Artificial Intelligence. https://doi.org/10.5220/0011671300003393
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2023 | Conference Paper | LibreCat-ID: 55152
Robrecht, A., Rothgänger, M., & Kopp, S. (2023). A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations. Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. https://doi.org/10.1145/3570945.3607339
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2023 | Conference Paper | LibreCat-ID: 55406
Sengupta, M., Alshomary, M., Scharlau, I., & Wachsmuth, H. (2023). Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In H. Bouamor, J. Pino, & K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 4636–4659). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.308
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2023 | Conference Paper | LibreCat-ID: 51767
Beer, F., & Schulz, C. (n.d.). The Return of Black Box Theory in Explainable AI. 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9.
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2023 | Conference Paper | LibreCat-ID: 51766
Schulz, C., & Wilmes , A. (n.d.). Vernacular Metaphors of AI .
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2023 | Conference Paper | LibreCat-ID: 55909 |

Wang, Y., & Buschmeier, H. (2023). Does listener gaze in face-to-face interaction follow the Entropy Rate Constancy principle: An empirical study. Findings of the Association for Computational Linguistics: EMNLP 2023, 15372–15379.
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2023 | Conference Paper | LibreCat-ID: 46067 |

Singh, A., & Rohlfing, K. J. (2023). Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall. Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45). 45th Annual Conference of the Cognitive Science Society, Sydney.
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2023 | Conference Paper | LibreCat-ID: 56477
Liedeker, F., & Cimiano, P. (2023). A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations. xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lissabon.
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2023 | Conference Abstract | LibreCat-ID: 56478
Liedeker, F., & Cimiano, P. (2023). Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy. 1st International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders, Breckenridge, CO, USA .
LibreCat
2023 | Preprint | LibreCat-ID: 56663
Buschmeier, H., Buhl, H. M., Kern, F., Grimminger, A., Beierling, H., Fisher, J., Groß, A., Horwath, I., Klowait, N., Lazarov, S., Lenke, M., Lohmer, V., Rohlfing, K., Scharlau, I., Singh, A., Terfloth, L., Vollmer, A.-L., Wang, Y., Wilmes, A., & Wrede, B. (2023). Forms of Understanding of XAI-Explanations. In arXiv:2311.08760.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 51367
Robrecht, A., & Kopp, S. (2023). SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation. Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 48–58. https://doi.org/10.5220/0011671300003393
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2023 | Conference Paper | LibreCat-ID: 55156
Fisher, J. B., Robrecht, A., Kopp, S., & Rohlfing, K. J. (2023). Exploring the Semantic Dialogue Patterns of Explanations – a Case Study of Game Explanations. Proceedings of the 27th Workshop on the Semantics and Pragmatics of Dialogue . Semdial, Maribor.
LibreCat
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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