Shukui Ma
Biographic Data
| ID | 7955647 |
|---|---|
| NAME | Shukui Ma |
| GIVEN NAMES | Shukui |
| FAMILY NAME | Ma |
| SIGNATURE | MA S |
| AFFILIATIONS | Taiyuan Normal University |
| ORCID | 0009-0002-9535-2211 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 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…
No prominent works on this page.
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 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Depression (economics (1 work) · Emotion and Mood Recognition (1 work) · Feature (linguistics (1 work) · Feature learning (1 work) · Linguistics (1 work) · Machine learning (1 work) · Mental Health Treatment and Access (1 work)