[HTML][HTML] Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model

W **e, C Wang, Z Lin, X Luo, W Chen, M Xu… - … Medical Imaging and …, 2022 - Elsevier
Background In recent years, more and more people suffer from depression and anxiety.
These symptoms are hard to be spotted and can be very dangerous. Currently, the Self …

Assessing learners' English public speaking anxiety with multimodal deep learning technologies

C Zheng, T Zhang, X Chen, H Zhang… - Computer Assisted …, 2024 - Taylor & Francis
Public speaking anxiety (PSA) is a common phenomenon for language learners involving
both psychological and physiological symptoms. Timely and effective PSA assessment can …

A brief review of deep learning for facial expression recognition

S Li - Available at SSRN 4318896, 2023 - papers.ssrn.com
Facial expression recognition is the task of identifying and interpreting human emotions from
facial cues. It has various applications in fields such as affective computing, human …

SFF-DA: Spatiotemporal feature fusion for nonintrusively detecting anxiety

H Mo, Y Li, P Han, X Liao, W Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The early detection of anxiety disorders is crucial in mitigating distress and enhancing
outcomes for individuals with mental disorders. Deep learning methods and traditional …

Introduction and Perspective of Deep Metric Learning

S Li - Available at SSRN 4320050, 2023 - papers.ssrn.com
Deep metric learning is a subfield of machine learning that focuses on learning distance
metrics that can be used to compare and analyze data points in high-dimensional spaces. It …

LI-FPN: Depression and Anxiety Detection from Learning and Imitation

X Li, L Lu, X Yi, H Wang, Y Zheng… - … on Bioinformatics and …, 2023 - ieeexplore.ieee.org
With the rise in societal pressures, depression and anxiety have increasingly become
prominent mental health conditions impacting people's lives. To enhance the efficacy of …

[HTML][HTML] Extended endocrine therapy in breast cancer: A basket of length-constraint feature selection metaheuristics to balance Type I against Type II errors

HP Liu, JV Zhang, D Wang, A Albrecht… - Journal of Biomedical …, 2022 - Elsevier
Extended endocrine therapy beyond 5 years is of major concern to ER+ breast cancer
survivors. However, it might be unsuitable to apply routinely used genomic tests designed …