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115 Publications
2024 | Conference Paper | LibreCat-ID: 58722 | 
Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness.” Findings of the Association for Computational Linguistics: ACL 2024, edited by Lun-Wei Ku et al., Association for Computational Linguistics, 2024, pp. 9294–9313, doi:10.18653/v1/2024.findings-acl.553.
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2024 | Conference Paper | LibreCat-ID: 61273
Paletschek, Jonas. “A Paradigm to Investigate Social Signals of Understanding and Their Susceptibility to Stress.” 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, David, et al. “Explainable AI for Audio and Visual Affective Computing: A Scoping Review.” IEEE Transactions on Affective Computing, vol. 16, no. 2, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 518–36, doi:10.1109/taffc.2024.3505269.
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2024 | Conference Paper | LibreCat-ID: 55429
Battefeld, Dominik, et al. “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, 2024.
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2023 | Conference Paper | LibreCat-ID: 48355 |
Rautenberg, Frederik, et al. “On Feature Importance and Interpretability of Speaker Representations.” ITG Conference on Speech Communication, 2023.
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2023 | Conference Paper | LibreCat-ID: 48410 |
Wiechmann, Jana, et al. “Explaining Voice Characteristics to Novice Voice Practitioners-How Successful Is It?” 20th International Congress of the Phonetic Sciences (ICPhS) , 2023.
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2023 | Conference Paper | LibreCat-ID: 48595
Peters, Tobias Martin, and Roel W. Visser. “The Importance of Distrust in AI.” 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, Fabian, et al. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning, Springer Science and Business Media LLC, 2023, doi:10.1007/s10994-023-06385-y.
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2023 | Conference Paper | LibreCat-ID: 44853 |
Alpsancar, Suzana. “What Is AI Ethics? Ethics as Means of Self-Regulation and the Need for Critical Reflection .” International Conference on Computer Ethics 2023, vol. 1, no. 1, 2023, pp. 1--17.
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2023 | Journal Article | LibreCat-ID: 51345
Schulz, Christian. “A New Algorithmic Imaginary.” Media, Culture & Society, vol. 45, no. 3, SAGE Publications, 2023, pp. 646–55, doi:10.1177/01634437221136014.
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2023 | Preprint | LibreCat-ID: 51372
Johnson, David, et al. Towards Interpretability in Audio and Visual Affective Machine Learning: A Review. 2023.
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2023 | Journal Article | LibreCat-ID: 51371
Richter, Birte, et al. “EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study.” Multimodal Technologies and Interaction, vol. 7, no. 4, 37, MDPI AG, 2023, doi:10.3390/mti7040037.
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2023 | Conference Paper | LibreCat-ID: 51370
Dyck, Leonie, et al. “Technical Transparency for Robot Navigation Through AR Visualizations.” Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, ACM, 2023, pp. 720–24, doi:10.1145/3568294.3580181.
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2023 | Journal Article | LibreCat-ID: 51368
Esposito, Elena. “Does Explainability Require Transparency?” Sociologica, vol. 16, no. 3, 2023, pp. 17–27, doi:10.6092/ISSN.1971-8853/15804.
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2023 | Journal Article | LibreCat-ID: 51369
Esposito, Elena. “Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction.” Sociologica, vol. 16, no. 3, 2023, pp. 1–4, doi:10.6092/ISSN.1971-8853/16265.
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2023 | Conference Paper | LibreCat-ID: 44849 |
Rautenberg, Frederik, et al. “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics.” Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–12.
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2023 | Book Chapter | LibreCat-ID: 54909
Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.” Discovery Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-45275-8_13.
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2023 | Conference Paper | LibreCat-ID: 55155
Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation.” Proceedings of the 15th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2023, doi:10.5220/0011671300003393.
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2023 | Conference Paper | LibreCat-ID: 55152
Robrecht, Amelie, et al. “A Study on the Benefits and Drawbacks of Adaptivity in AI-Generated Explanations.” Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, ACM, 2023, doi:10.1145/3570945.3607339.
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2023 | Conference Paper | LibreCat-ID: 55406
Sengupta, Meghdut, et al. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor et al., Association for Computational Linguistics, 2023, pp. 4636–4659, doi:10.18653/v1/2023.findings-emnlp.308.
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