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115 Publications


2024 | Conference Paper | LibreCat-ID: 58722 | OA
M. Spliethöver, S. N. Menon, and H. Wachsmuth, “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness,” in Findings of the Association for Computational Linguistics: ACL 2024, 2024, pp. 9294–9313, doi: 10.18653/v1/2024.findings-acl.553.
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2024 | Conference Paper | LibreCat-ID: 61273
J. Paletschek, “A Paradigm to Investigate Social Signals of Understanding and Their Susceptibility to Stress,” presented at the 12th International Conference on  Affective Computing & Intelligent Interaction, Glasgow, 2024, doi: 10.1109/ACII63134.2024.00040.
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2024 | Journal Article | LibreCat-ID: 61290
D. Johnson, O. Hakobyan, J. Paletschek, and H. Drimalla, “Explainable AI for Audio and Visual Affective Computing: A Scoping Review,” IEEE Transactions on Affective Computing, vol. 16, no. 2, pp. 518–536, 2024, doi: 10.1109/taffc.2024.3505269.
LibreCat | Files available | DOI
 

2024 | Conference Paper | LibreCat-ID: 55429
D. Battefeld et al., “Revealing the Dynamics of Medical Diagnostic Reasoning as Step-by-Step Cognitive Process Trajectories,” presented at the The Annual Meeting of the Cognitive Science Society, Rotterdam, NL, 2024.
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2023 | Conference Paper | LibreCat-ID: 48355 | OA
F. Rautenberg, M. Kuhlmann, J. Wiechmann, F. Seebauer, P. Wagner, and R. Haeb-Umbach, “On Feature Importance and Interpretability of Speaker Representations,” presented at the ITG Conference on Speech Communication, Aachen, 2023.
LibreCat | Files available | Download (ext.) | arXiv
 

2023 | Conference Paper | LibreCat-ID: 48410 | OA
J. Wiechmann, F. Rautenberg, P. Wagner, and R. Haeb-Umbach, “Explaining voice characteristics to novice voice practitioners-How successful is it?,” 2023.
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2023 | Conference Paper | LibreCat-ID: 48595
T. M. Peters and R. W. Visser, “The Importance of Distrust in AI,” 2023, doi: 10.1007/978-3-031-44070-0_15.
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2023 | Journal Article | LibreCat-ID: 48777
F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,” Machine Learning, 2023, doi: 10.1007/s10994-023-06385-y.
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2023 | Conference Paper | LibreCat-ID: 44853 | OA
S. Alpsancar, “What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection ,” in International Conference on Computer Ethics 2023, Chicago, Illinois, 2023, vol. 1, no. 1, pp. 1--17.
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2023 | Journal Article | LibreCat-ID: 51345
C. Schulz, “A new algorithmic imaginary,” Media, Culture & Society, vol. 45, no. 3, pp. 646–655, 2023, doi: 10.1177/01634437221136014.
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2023 | Preprint | LibreCat-ID: 51372
D. Johnson, O. Hakobyan, and H. Drimalla, “Towards Interpretability in Audio and Visual Affective Machine Learning: A Review.” 2023.
LibreCat
 

2023 | Journal Article | LibreCat-ID: 51371
B. Richter et al., “EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study,” Multimodal Technologies and Interaction, vol. 7, no. 4, Art. no. 37, 2023, doi: 10.3390/mti7040037.
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2023 | Conference Paper | LibreCat-ID: 51370
L. Dyck, H. Beierling, R. Helmert, and A.-L. Vollmer, “Technical Transparency for Robot Navigation Through AR Visualizations,” in Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Stockholm , 2023, pp. 720–724, doi: 10.1145/3568294.3580181.
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2023 | Journal Article | LibreCat-ID: 51368
E. Esposito, “Does Explainability Require Transparency?,” Sociologica, vol. 16, no. 3, pp. 17–27, 2023, doi: 10.6092/ISSN.1971-8853/15804.
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2023 | Journal Article | LibreCat-ID: 51369
E. Esposito, “Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction,” Sociologica, vol. 16, no. 3, pp. 1–4, 2023, doi: 10.6092/ISSN.1971-8853/16265.
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2023 | Conference Paper | LibreCat-ID: 44849 | OA
F. Rautenberg et al., “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics,” in Fortschritte der Akustik - DAGA 2023, Hamburg, 2023, pp. 1409–1412.
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2023 | Book Chapter | LibreCat-ID: 54909
J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in Discovery Science, Cham: Springer Nature Switzerland, 2023.
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2023 | Conference Paper | LibreCat-ID: 55155
A. Robrecht and S. Kopp, “SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation,” 2023, doi: 10.5220/0011671300003393.
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2023 | Conference Paper | LibreCat-ID: 55152
A. Robrecht, M. Rothgänger, and S. Kopp, “A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations,” 2023, doi: 10.1145/3570945.3607339.
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2023 | Conference Paper | LibreCat-ID: 55406
M. Sengupta, M. Alshomary, I. Scharlau, and H. Wachsmuth, “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms,” in Findings of the Association for Computational Linguistics: EMNLP 2023, 2023, pp. 4636–4659, doi: 10.18653/v1/2023.findings-emnlp.308.
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