Enhancing Depression Detection in Clinical Interviews: Integration of fused BERT-BiLSTM Model and XGBoost
Author:
Affiliation:
1. Information Technology, Indian Institute of Information Technology Allahabad, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3669754.3669780
Reference19 articles.
1. Design and implementation of attention depression detection model based on multimodal analysis;Park Junhee;Sustainability,2022
2. Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria
3. [3] Tuka Al Hanai Mohammad M Ghassemi and James R Glass. 2018. Detecting Depression with Audio/Text Sequence Modeling of Interviews.. In Interspeech. 1716–1720.
4. A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory
5. [5] Jay Alammar. 2018. The Illustrated Transformer. https://jalammar.github.io/ illustrated-bert/
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