Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/168815| Author(s): | João Rola Reis |
| Title: | A Model-Agnostic Framework for Log Sequence Classification Applied to Anomaly Detection Using Fine-Tuned LLMs |
| Issue Date: | 2025-07-23 |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| TID identifier: | 204115205 |
| URI: | https://hdl.handle.net/10216/168815 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 735521.pdf | A Model-Agnostic Framework for Log Sequence Classification Applied to Anomaly Detection Using Fine-Tuned LLMs | 955.6 kB | Adobe PDF |  View/Open |
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