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128 Publications
2025 | Conference Paper | LibreCat-ID: 61047
Rautenberg, F., Seebauer, F., Wiechmann, J., Kuhlmann, M., Wagner, P., & Haeb-Umbach, R. (2025). Synthesizing Speech with Selected Perceptual Voice Qualities – A Case Study with Creaky Voice. Interspeech 2025. Interspeech, Rotterdam. https://doi.org/10.21437/Interspeech.2025-1443
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2025 | Conference Abstract | LibreCat-ID: 61154 | 
Türk, O., Lazarov, S. T., Buschmeier, H., Wagner, P., & Grimminger, A. (2025). Acoustic detection of false positive backchannels of understanding in explanations. LingCologne 2025 – Book of Abstracts, 36.
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2024 | Conference Abstract | LibreCat-ID: 53069 |
Banh, N. C., & Scharlau, I. (2024). Effects of task difficulty on visual processing speed. Tagung experimentell arbeitender Psycholog:innen (TeaP), Regensburg.
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2024 | Conference Paper | LibreCat-ID: 54889 |
Stratmann, L., Banh, N. C., Scharlau, I., & Dressler, F. (2024). Safety Assistance Systems for Bicyclists: Toward Empirical Studies of the Dooring Problem. ACM Symposium on Principles of Distributed Computing (PODC 2024), Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating Algorithms for Distributed Systems (ApPLIED 2024). https://doi.org/10.1145/3663338.3665831
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2024 | Journal Article | LibreCat-ID: 54911
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: 55338
Sengupta, M., El Baff, R., Alshomary, M., & Wachsmuth, H. (2024). Analyzing the Use of Metaphors in News Editorials for Political Framing. In K. Duh, H. Gomez, & S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 3621–3631). Association for Computational Linguistics.
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2024 | Conference Paper | LibreCat-ID: 56480
Liedeker, F., Sanchez-Graillet, O., Seidler, M., Brandt, C., Wellmer, J., & Cimiano, P. (n.d.). A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support. First Workshop on Natural Language Argument-Based Explanations, Santiago de Compostela, Spain.
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2024 | Conference Paper | LibreCat-ID: 56479
Liedeker, F., Düsing, C., Nieveler, M., & Cimiano, P. (2024). An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity. 2nd World Conference on eXplainable Artificial Intelligence, Valetta, Malta.
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2024 | Conference Paper | LibreCat-ID: 56660
Singh, A., & Rohlfing, K. J. (2024). Coupling of Task and Partner Model: Investigating the Intra-Individual Variability in Gaze during Human–Robot Explanatory Dialogue. Proceedings of 26th ACM International Conference on Multimodal Interaction (ICMI 2024). 26th ACM International Conference on Multimodal Interaction (ICMI 2024), San Jose, Costa Rica. https://doi.org/10.1145/3686215.3689202
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2024 | Journal Article | LibreCat-ID: 56264 |
Buhl, H. M., Fisher, J. B., & Rohlfing, K. (2024). Changes in partner models – Effects of adaptivity in the course of explanations. Proceedings of the Annual Meeting of the Cognitive Science Society, 46.
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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: 61177 |
Xu, Y., Wang, Y., An, H., Liu, Z., & Li, Y. (2024). Detecting subtle differences between human and model languages using spectrum of relative likelihood. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 10108–10121. https://doi.org/10.18653/v1/2024.emnlp-main.564
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2024 | Conference Abstract | LibreCat-ID: 56985
Buschmeier, H., Kopp, S., & Hassan, T. (2024). Multimodal Co-Construction of Explanations with XAI Workshop. Proceedings of the 26th ACM International Conference on Multimodal Interaction, 698–699. https://doi.org/10.1145/3678957.3689205
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2024 | Conference Paper | LibreCat-ID: 55916
Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). A model of factors contributing to the success of dialogical explanations. Proceedings of the 26th ACM International Conference on Multimodal Interaction, 373–381. https://doi.org/10.1145/3678957.3685744
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2024 | Conference Paper | LibreCat-ID: 55995 |
Pilán, I., Prévot, L., Buschmeier, H., & Lison, P. (2024). Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis. Proceedings of the 25th Meeting of the Special Interest Group on Discourse and Dialogue, 440–457. https://doi.org/10.18653/v1/2024.sigdial-1.38
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2024 | Conference Paper | LibreCat-ID: 55913 |
Wagner, P., Włodarczak, M., Buschmeier, H., Türk, O., & Gilmartin, E. (2024). Turn-taking dynamics across different phases of explanatory dialogues. Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue, 6–14.
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2024 | Journal Article | LibreCat-ID: 56190
Klowait, N., Erofeeva, M., Lenke, M., Horwath, I., & Buschmeier, H. (2024). Can AI explain AI? Interactive co-construction of explanations among human and artificial agents. Discourse & Communication, 18(6), 917–930. https://doi.org/10.1177/17504813241267069
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2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg, P., Kenneweg, T., Fumagalli, F., & Hammer, B. (2024). No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. 2024 International Joint Conference on Neural Networks (IJCNN), 1–8. https://doi.org/10.1109/IJCNN60899.2024.10650124
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2024 | Conference Paper | LibreCat-ID: 53073
Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(13), 14388–14396. https://doi.org/10.1609/aaai.v38i13.29352
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