Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN
2022 · IEEE Transactions on Affective Computing · 83 citations
https://doi.org/10.1109/taffc.2022.3154332
K
Kaining Mao
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9
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9
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Kaining Mao is an academic researcher from University of Alberta. The author has contributed to research in topics: Mental Health via Writing & Mental Health Research Topics & Emotion and Mood Recognition. The author has an h-index of 9, co-authored 12 publications.
ORCID: 0000-0002-5637-6635Papers by this author
worksA systematic review on automated clinical depression diagnosis
2023 · npj Mental Health Research · 56 citations
https://doi.org/10.1038/s44184-023-00040-z
A Multimodal Approach for Detection and Assessment of Depression Using Text, Audio and Video
2024 · Phenomics · 29 citations
https://doi.org/10.1007/s43657-023-00152-8
CALLM: Enhancing Clinical Interview Analysis Through Data Augmentation With Large Language Models
2024 · IEEE Journal of Biomedical and Health Informatics · 15 citations
https://doi.org/10.1109/jbhi.2024.3435085
Analysis of Automated Clinical Depression Diagnosis in a Chinese Corpus
2023 · IEEE Transactions on Biomedical Circuits and Systems · 10 citations
https://doi.org/10.1109/tbcas.2023.3291554
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