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Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection.

, , and . CoRR, (2023)

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Attitude Recognition Using Multi-resolution Cochleagram Features., and . ICASSP, page 3737-3741. IEEE, (2019)Medical teamwork, collaboration and patient-centred care., and . Behav. Inf. Technol., 34 (6): 543-547 (2015)An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech., , and . J. Sel. Topics Signal Processing, 14 (2): 272-281 (2020)The ILMT-s2s Corpus ― A Multimodal Interlingual Map Task Corpus., , , and . LREC, European Language Resources Association (ELRA), (2016)A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis., , and . Int. J. Medical Informatics, (2019)Analysis and Classification of Word Co-Occurrence Networks From Alzheimer's Patients and Controls., and . Frontiers Comput. Sci., (2021)A Network-Based Embedding Method for Drug-Target Interaction Prediction., , , and . EMBC, page 5304-5307. IEEE, (2020)Can time dependencies and ensemble classification improve content-free dialogue segmentation?, and . CogInfoCom, page 183-188. IEEE, (2013)Multilingual Alzheimer's Dementia Recognition through Spontaneous Speech: A Signal Processing Grand Challenge., , , , , and . ICASSP, page 1-2. IEEE, (2023)Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces., , , , , and . EACL (Hackashop), page 76-83. Association for Computational Linguistics, (2021)