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76 Publications
2024 | Journal Article | LibreCat-ID: 54907
Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190
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2024 | Conference Paper | LibreCat-ID: 55917 | 
Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). Towards a BFO-based ontology of understanding in explanatory interactions. Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI). 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI), Santiago de Compostela, Spain.
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2024 | Conference Paper | LibreCat-ID: 57204 |
Lazarov, S. T., & Grimminger, A. (2024). Variations in explainers’ gesture deixis in explanations related to the monitoring of explainees’ understanding. Proceedings of the Annual Meeting of the Cognitive Science Society, 46.
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2024 | Journal Article | LibreCat-ID: 53072 |
Banh, N. C., Tünnermann, J., Rohlfing, K. J., & Scharlau, I. (2024). Benefiting from Binary Negations? Verbal Negations Decrease Visual Attention and Balance Its Distribution. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1451309
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2024 | Conference Paper | LibreCat-ID: 55404
Alshomary, M., Lange, F., Booshehri, M., Sengupta, M., Cimiano, P., & Wachsmuth, H. (2024). Modeling the Quality of Dialogical Explanations. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 11523–11536). ELRA and ICCL.
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2024 | Journal Article | LibreCat-ID: 58109 |
Scharlau, I., Körber, M., Sengupta, M., & Wachsmuth, H. (2024). When to use a metaphor: Metaphors in dialogical explanations with addressees of different expertise. Frontiers in Language Sciences, 3, 1474924.
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2024 | Conference Paper | LibreCat-ID: 58722
Spliethöver, M., Menon, S. N., & Wachsmuth, H. (2024). Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), Findings of the Association for Computational Linguistics: ACL 2024 (pp. 9294–9313). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.553
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2024 | Conference Paper | LibreCat-ID: 55403 |
Buschmeier, H., Cimiano, P., Kopp, S., Kornowicz, J., Lammert, O., Matarese, M., Mindlin, D., Robrecht, A. S., Vollmer, A.-L., Wagner, P., Wrede, B., & Booshehri, M. (2024). Towards a Computational Architecture for Co-Constructive Explainable Systems. Proceedings of the 2024 Workshop on Explainability Engineering, 20–25. https://doi.org/10.1145/3648505.3648509
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2023 | Conference Paper | LibreCat-ID: 48355 |
Rautenberg, F., Kuhlmann, M., Wiechmann, J., Seebauer, F., Wagner, P., & Haeb-Umbach, R. (2023). On Feature Importance and Interpretability of Speaker Representations. ITG Conference on Speech Communication. ITG Conference on Speech Communication, Aachen.
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2023 | Conference Paper | LibreCat-ID: 48410 |
Wiechmann, J., Rautenberg, F., Wagner, P., & Haeb-Umbach, R. (2023). Explaining voice characteristics to novice voice practitioners-How successful is it? 20th International Congress of the Phonetic Sciences (ICPhS) .
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2023 | Conference Paper | LibreCat-ID: 48595
Peters, T. M., & Visser, R. W. (2023). The Importance of Distrust in AI. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-44070-0_15
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2023 | Journal Article | LibreCat-ID: 48777
Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning. https://doi.org/10.1007/s10994-023-06385-y
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2023 | Journal Article | LibreCat-ID: 48779
Artelt, A., Visser, R., & Hammer, B. (2023). “I do not know! but why?” — Local model-agnostic example-based explanations of reject. Neurocomputing, 558, Article 126722. https://doi.org/10.1016/j.neucom.2023.126722
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2023 | Conference Paper | LibreCat-ID: 47448
Terfloth, L., Schaffer, M., Buhl, H. M., & Schulte, C. (2023). Adding Why to What? Analyses of an Everyday Explanation. 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa. https://doi.org/10.1007/978-3-031-44070-0_13
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2023 | Conference Paper | LibreCat-ID: 44853 |
Alpsancar, S. (2023). What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection . International Conference on Computer Ethics 2023, 1(1), 1--17.
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2023 | Journal Article | LibreCat-ID: 51345
Schulz, C. (2023). A new algorithmic imaginary. Media, Culture & Society, 45(3), 646–655. https://doi.org/10.1177/01634437221136014
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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 | 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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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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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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