Shukui Ma
Datos Biográficos
| ID | 7955647 |
|---|---|
| NOMBRE | Shukui Ma |
| NOMBRES | Shukui |
| APELLIDO | Ma |
| FIRMA | MA S |
| AFILIACIONES | Taiyuan Normal University |
| ORCID | 0009-0002-9535-2211 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 1 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2025 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Sentence-level multi-modal feature learning for depression recognition
The SMFL methodology represents a significant advancement in the diagnostic processes of depression, promising a cost-effective, private, and accessible diagnostic tool that aligns with the PHQ-8 clinical standard. By broadening the accessibility of mental health resources, this methodology has the potential to revolutionize the landscape of psychiatric evaluation, augmenting the precision of depression identification and enhancing the overall me…
Sin obras prominentes en esta página.
Sentence-level multi-modal feature learning for depression recognition
The SMFL methodology represents a significant advancement in the diagnostic processes of depression, promising a cost-effective, private, and accessible diagnostic tool that aligns with the PHQ-8 clinical standard. By broadening the accessibility of mental health resources, this methodology has the potential to revolutionize the landscape of psychiatric evaluation, augmenting the precision of depression identification and enhancing the overall me…
Artificial Intelligence (1 obra) · Computer Science (1 obra) · Convolutional neural network (1 obra) · Depression (economics (1 obra) · Emotion and Mood Recognition (1 obra) · Feature (linguistics (1 obra) · Feature learning (1 obra) · Linguistics (1 obra) · Machine learning (1 obra) · Mental Health Treatment and Access (1 obra)