Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
124 Publications
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
LibreCat
| Files available
| DOI
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
LibreCat
| DOI
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
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, P., Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238, 3520–3528.
LibreCat
2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer, B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. Proceedings of the 41st International Conference on Machine Learning (ICML), 235, 14308–14342.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61228
Muschalik, M., Baniecki, H., Fumagalli, F., Kolpaczki, P., Hammer, B., & Huellermeier, E. (2024). shapiq: Shapley interactions for machine learning. Advances in Neural Information Processing Systems (NeurIPS), 37, 130324–130357.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki, P., Bengs, V., Muschalik, M., & Hüllermeier, E. (2024). Approximating the shapley value without marginal contributions. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(12), 13246–13255.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61176 | 
Wang, Y., & Buschmeier, H. (2024). Revisiting the phenomenon of syntactic complexity convergence on German dialogue data. Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), 75–80.
LibreCat
| Download (ext.)
2024 | Conference Paper | LibreCat-ID: 55911 |
Wang, Y., Xu, Y., Skantze, G., & Buschmeier, H. (2024). How much does nonverbal communication conform to entropy rate constancy?: A case study on listener gaze in interaction. Findings of the Association for Computational Linguistics ACL 2024, 3533–3545.
LibreCat
| Download (ext.)
2024 | Conference Abstract | LibreCat-ID: 56314
Riechmann, A. N., & Buschmeier, H. (2024). Automatic reconstruction of dialogue participants’ coordinating gaze behavior from multiple camera perspectives. Book of Abstracts of the 2nd International Multimodal Communication Symposium, 38–39.
LibreCat
| Files available
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
LibreCat
| Files available
| DOI
| Download (ext.)
2024 | Conference Paper | LibreCat-ID: 61273
Paletschek, J. (2024). A Paradigm to Investigate Social Signals of Understanding and Their Susceptibility to Stress. 12th International Conference on Affective Computing & Intelligent Interaction. 12th International Conference on Affective Computing & Intelligent Interaction, Glasgow. https://doi.org/10.1109/ACII63134.2024.00040
LibreCat
| Files available
| DOI
2024 | Journal Article | LibreCat-ID: 61290
Johnson, D., Hakobyan, O., Paletschek, J., & Drimalla, H. (2024). Explainable AI for Audio and Visual Affective Computing: A Scoping Review. IEEE Transactions on Affective Computing, 16(2), 518–536. https://doi.org/10.1109/taffc.2024.3505269
LibreCat
| Files available
| DOI
2024 | Conference Paper | LibreCat-ID: 55429
Battefeld, D., Mues, S., Wehner, T., House, P., Kellinghaus, C., Wellmer, J., & Kopp, S. (2024). Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories. Proceedings of the 46th Annual Conference of the Cognitive Science Society. The Annual Meeting of the Cognitive Science Society, Rotterdam, NL.
LibreCat
| Files available
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.
LibreCat
| Files available
| Download (ext.)
| arXiv
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) .
LibreCat
| Files available
| Download (ext.)
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
LibreCat
| DOI
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
LibreCat
| DOI
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.
LibreCat
| Download (ext.)
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
LibreCat
| DOI