Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/176187| Author(s): | Mariana da Silva Bessa |
| Title: | Skeleton-Based Action Recognition for Epilepsy Classification: Evaluating Real-World Applicability From Fully Supervised to Zero-Shot Learning |
| Issue Date: | 2026-07-17 |
| Subject: | Ciências da engenharia e tecnologias Engineering and technology |
| Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
| URI: | https://hdl.handle.net/10216/176187 |
| Document Type: | Dissertação |
| Rights: | embargoedAccess |
| Embargo End Date: | 2029-07-16 |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 787523.pdf Restricted Access | Skeleton-Based Action Recognition for Epilepsy Classification: Evaluating Real-World Applicability From Fully Supervised to Zero-Shot Learning | 154.76 MB | Adobe PDF | View/Open |
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