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124 Publications
2024 | Journal Article | LibreCat-ID: 56190
Klowait N, Erofeeva M, Lenke M, Horwath I, Buschmeier H. Can AI explain AI? Interactive co-construction of explanations among human and artificial agents. Discourse & Communication. 2024;18(6):917-930. doi:10.1177/17504813241267069
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2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg P, Kenneweg T, Fumagalli F, Hammer B. No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. In: 2024 International Joint Conference on Neural Networks (IJCNN). ; 2024:1-8. doi:10.1109/IJCNN60899.2024.10650124
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2024 | Conference Paper | LibreCat-ID: 53073
Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Vol 38. ; 2024:14388-14396. doi:10.1609/aaai.v38i13.29352
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2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki P, Muschalik M, Fumagalli F, Hammer B, Huellermeier E. SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS). Vol 238. Proceedings of Machine Learning Research. PMLR; 2024:3520–3528.
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2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. In: Proceedings of the 41st International Conference on Machine Learning (ICML). Vol 235. Proceedings of Machine Learning Research. PMLR; 2024:14308–14342.
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2024 | Conference Paper | LibreCat-ID: 61228
Muschalik M, Baniecki H, Fumagalli F, Kolpaczki P, Hammer B, Huellermeier E. shapiq: Shapley interactions for machine learning. In: Advances in Neural Information Processing Systems (NeurIPS). Vol 37. ; 2024:130324–130357.
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2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki P, Bengs V, Muschalik M, Hüllermeier E. Approximating the shapley value without marginal contributions. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Vol 38. ; 2024:13246–13255.
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2024 | Conference Paper | LibreCat-ID: 61176 | 
Wang Y, Buschmeier H. Revisiting the phenomenon of syntactic complexity convergence on German dialogue data. In: Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024). ; 2024:75–80.
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2024 | Conference Paper | LibreCat-ID: 55911 |
Wang Y, Xu Y, Skantze G, Buschmeier H. How much does nonverbal communication conform to entropy rate constancy?: A case study on listener gaze in interaction. In: Findings of the Association for Computational Linguistics ACL 2024. ; 2024:3533–3545.
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2024 | Conference Abstract | LibreCat-ID: 56314
Riechmann AN, Buschmeier H. Automatic reconstruction of dialogue participants’ coordinating gaze behavior from multiple camera perspectives. In: Book of Abstracts of the 2nd International Multimodal Communication Symposium. ; 2024:38–39.
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2024 | Conference Paper | LibreCat-ID: 58722 |
Spliethöver M, Menon SN, Wachsmuth H. Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness. In: Ku L-W, Martins A, Srikumar V, eds. Findings of the Association for Computational Linguistics: ACL 2024. Association for Computational Linguistics; 2024:9294–9313. doi:10.18653/v1/2024.findings-acl.553
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2024 | Conference Paper | LibreCat-ID: 61273
Paletschek J. A Paradigm to Investigate Social Signals of Understanding and Their Susceptibility to Stress. In: 12th International Conference on Affective Computing & Intelligent Interaction. IEEE; 2024. doi:10.1109/ACII63134.2024.00040
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2024 | Journal Article | LibreCat-ID: 61290
Johnson D, Hakobyan O, Paletschek J, Drimalla H. Explainable AI for Audio and Visual Affective Computing: A Scoping Review. IEEE Transactions on Affective Computing. 2024;16(2):518-536. doi:10.1109/taffc.2024.3505269
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2024 | Conference Paper | LibreCat-ID: 55429
Battefeld D, Mues S, Wehner T, et al. Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories. In: Proceedings of the 46th Annual Conference of the Cognitive Science Society. ; 2024.
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2023 | Conference Paper | LibreCat-ID: 48355 |
Rautenberg F, Kuhlmann M, Wiechmann J, Seebauer F, Wagner P, Haeb-Umbach R. On Feature Importance and Interpretability of Speaker Representations. In: ITG Conference on Speech Communication. ; 2023.
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2023 | Conference Paper | LibreCat-ID: 48410 |
Wiechmann J, Rautenberg F, Wagner P, Haeb-Umbach R. Explaining voice characteristics to novice voice practitioners-How successful is it? In: 20th International Congress of the Phonetic Sciences (ICPhS) . ; 2023.
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2023 | Conference Paper | LibreCat-ID: 48595
Peters TM, Visser RW. The Importance of Distrust in AI. In: Communications in Computer and Information Science. Springer Nature Switzerland; 2023. doi: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. Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning. Published online 2023. doi:10.1007/s10994-023-06385-y
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2023 | Conference Paper | LibreCat-ID: 44853 |
Alpsancar S. What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection . In: International Conference on Computer Ethics 2023. Vol 1. ; 2023:1--17.
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2023 | Journal Article | LibreCat-ID: 51345
Schulz C. A new algorithmic imaginary. Media, Culture & Society. 2023;45(3):646-655. doi:10.1177/01634437221136014
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