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78 Publications
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.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 58723
M. Alshomary and H. Wachsmuth, “Conclusion-based Counter-Argument Generation,” in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023, pp. 957–967, doi: 10.18653/v1/2023.eacl-main.67.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 33696 | 
J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, and R. Haeb-Umbach, “Technically enabled explaining of voice characteristics,” Bielefeld, 2022.
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2022 | Journal Article | LibreCat-ID: 51348
U. Schmid and B. Wrede, “What is Missing in XAI So Far?,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 303–315, 2022, doi: 10.1007/s13218-022-00786-2.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 51366
U. Schmid and B. Wrede, “Explainable AI,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 207–210, 2022, doi: 10.1007/s13218-022-00788-0.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 51365
B. Wrede, “AI: Back to the Roots?,” KI - Künstliche Intelligenz, vol. 36, no. 2, pp. 117–120, 2022, doi: 10.1007/s13218-022-00773-7.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 51344
K. Rohlfing, A.-L. Vollmer, J. Fritsch, and B. Wrede, “Which ‘motionese’ parameters change with children’s age? Disentangling attention-getting from action-structuring modifications,” Frontiers in Communication, vol. 7, 2022, doi: 10.3389/fcomm.2022.922405.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 51346
A. Groß, C. Schütze, B. Wrede, and B. Richter, “An Architecture Supporting Configurable Autonomous Multimodal Joint-Attention-Therapy for Various Robotic Systems,” in INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2022, pp. 154–159, doi: 10.1145/3536220.3558070.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 51347
C. Schütze, A. Groß, B. Wrede, and B. Richter, “Enabling Non-Technical Domain Experts to Create Robot-Assisted Therapeutic Scenarios via Visual Programming,” in INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2022, pp. 166–170, doi: 10.1145/3536220.3558072.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 55337
H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34067
M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.
LibreCat
2022 | Conference Abstract | LibreCat-ID: 46289 |
N. C. Banh, I. Scharlau, and K. J. Rohlfing, “Folgen wiederholter Negation auf die Aufmerksamkeit,” in 52. Kongress der Deutschen Gesellschaft für Psychologie, Hildesheim, Germany, 2022.
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2022 | Conference Paper | LibreCat-ID: 51343
D. Battefeld and S. Kopp, “Formalizing cognitive biases in medical diagnostic reasoning,” presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier, 2022.
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2022 | Journal Article | LibreCat-ID: 51349
J. B. Fisher, V. Lohmer, F. Kern, W. Barthlen, S. Gaus, and K. Rohlfing, “Exploring Monological and Dialogical Phases in Naturally Occurring Explanations,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 317–326, 2022, doi: 10.1007/s13218-022-00787-1.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 48780
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Agnostic Explanation of Model Change based on Feature Importance,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 211–224, 2022, doi: 10.1007/s13218-022-00766-6.
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| DOI
2022 | Conference Paper | LibreCat-ID: 32247
M. Alshomary, J. Rieskamp, and H. Wachsmuth, “Generating Contrastive Snippets for Argument Search,” in Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31, doi: http://dx.doi.org/10.3233/FAIA220138.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 30840
M. Alshomary, R. El Baff, T. Gurcke, and H. Wachsmuth, “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments,” in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.
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