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Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification., , , and . Interspeech, page 486-490. ISCA, (2021)MultiMediate'22: Backchannel Detection and Agreement Estimation in Group Interactions., , , , , , , and . ACM Multimedia, page 7109-7114. ACM, (2022)Using an evolutionary approach to explore convolutional neural networks for acoustic scene classification., , , , and . DCASE, page 158-162. (2018)We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios., , , , , , and . PETRA, page 486-493. ACM, (2022)Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks., , , , , , and . CoRR, (2022)Relevance-Based Data Masking: A Model-Agnostic Transfer Learning Approach for Facial Expression Recognition., , , and . Frontiers Comput. Sci., (2020)Enhancing Explainability of Deep Reinforcement Learning Through Selective Layer-Wise Relevance Propagation., , and . KI, volume 11793 of Lecture Notes in Computer Science, page 188-202. Springer, (2019)"Do you trust me?": Increasing User-Trust by Integrating Virtual Agents in Explainable AI Interaction Design., , , , and . IVA, page 7-9. ACM, (2019)Deep Learning in Paralinguistic Recognition Tasks: Are Hand-crafted Features Still Relevant?, , , and . INTERSPEECH, page 147-151. ISCA, (2018)Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks., , , , , , and . DeLTA (Selected Papers), volume 1854 of Communications in Computer and Information Science, page 67-87. Springer, (2021)