Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/172040| Author(s): | Hugo Miguel Chaves Polónia Valdrez |
| Title: | Exploring machine learning strategies for the identification, quantification, and mitigation of Small Disjuncts in imbalanced data |
| Issue Date: | 2025-11-20 |
| Subject: | Ciências exactas e naturais Natural sciences |
| Scientific areas: | Ciências exactas e naturais Natural sciences |
| TID identifier: | 204167361 |
| URI: | https://hdl.handle.net/10216/172040 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FCUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 753806.pdf | Exploring machine learning strategies for the identification, quantification, and mitigation of Small Disjuncts in imbalanced data | 3.98 MB | Adobe PDF |  View/Open |
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