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Working with troubles and failures in conversation between humans and robots: workshop report., , , , , , , , , and 20 other author(s). Frontiers Robotics AI, (February 2023)Speaker Motion Patterns during Self-repairs in Natural Dialogue., , , , and . ICMI Companion, page 24-29. ACM, (2022)Detecting Alzheimer's Disease Using Interactional and Acoustic Features from Spontaneous Speech., , and . Interspeech, page 1962-1966. ISCA, (2021)Detecting Depression with Word-Level Multimodal Fusion., , and . INTERSPEECH, page 1443-1447. ISCA, (2019)Best of Both Worlds: Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental., and . ACL/IJCNLP (1), page 3693-3703. Association for Computational Linguistics, (2021)Specific hand motion patterns correlate to miscommunications during dyadic conversations., , , , and . ICDL, page 1-6. IEEE, (2021)Rare-Class Dialogue Act Tagging for Alzheimer's Disease Diagnosis., , and . SIGDIAL, page 290-300. Association for Computational Linguistics, (2021)Alzheimer's Dementia Recognition From Spontaneous Speech Using Disfluency and Interactional Features., , , and . Frontiers Comput. Sci., (2021)Speakers Raise Their Hands and Head During Self-Repairs in Dyadic Conversations., , , , and . IEEE Trans. Cogn. Dev. Syst., 15 (4): 1993-2003 (December 2023)Multi-Modal Fusion with Gating Using Audio, Lexical and Disfluency Features for Alzheimer's Dementia Recognition from Spontaneous Speech., , and . INTERSPEECH, page 2187-2191. ISCA, (2020)