Yongfeng Tao
Datos Biográficos
| ID | 10054823 |
|---|---|
| NOMBRE | Yongfeng Tao |
| NOMBRES | Yongfeng |
| APELLIDO | Tao |
| FIRMA | TAO Y |
| AFILIACIONES | Lanzhou University |
| ORCID | 0009-0009-9712-9380 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Multimodal Depression Detection Based on Self-Attention Network With Facial Expression and Pupil
Depression is a major mental health issue in contemporary society, with an estimated 350 million people affected globally. The number of individuals diagnosed with depression continues to rise each year. Currently, clinical practice relies entirely on self-reporting and clinical assessment, which carries the risk of subjective biases. In this article, we propose a multimodal method based on facial expression and pupil to detect depression more ob…
Behavioral Information Feedback With Large Language Models for Mental Disorders
This edition of the publication includes a robust collection of 104 regular papers and features a Special Issue on Knowledge- Infused Learning for Computational Social Systems. This special issue delves into the sophisticated integration of advanced technologies and knowledge-based methodologies within the analysis of computational social systems. Spanning 12 articles, the issue addresses a wide spectrum of topics, from big data management to ref…
Sin obras prominentes en esta página.
Behavioral Information Feedback With Large Language Models for Mental Disorders
This edition of the publication includes a robust collection of 104 regular papers and features a Special Issue on Knowledge- Infused Learning for Computational Social Systems. This special issue delves into the sophisticated integration of advanced technologies and knowledge-based methodologies within the analysis of computational social systems. Spanning 12 articles, the issue addresses a wide spectrum of topics, from big data management to ref…
Multimodal Depression Detection Based on Self-Attention Network With Facial Expression and Pupil
Depression is a major mental health issue in contemporary society, with an estimated 350 million people affected globally. The number of individuals diagnosed with depression continues to rise each year. Currently, clinical practice relies entirely on self-reporting and clinical assessment, which carries the risk of subjective biases. In this article, we propose a multimodal method based on facial expression and pupil to detect depression more ob…
Cognitive psychology (2 obras) · Computer Science (2 obras) · Psychology (2 obras) · Artificial Intelligence (1 obras) · Cognitive science (1 obras) · Digital Mental Health Interventions (1 obras) · Emotion and Mood Recognition (1 obras) · Facial expression (1 obras) · Functional Brain Connectivity Studies (1 obras) · Human–computer interaction (1 obras)