Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/139425| Author(s): | Nádia Filipa de Jesus Soares |
| Title: | Predicting IUCN conservation status through machine learning: a case study on reptiles |
| Issue Date: | 2021-11-30 |
| Subject: | Ciências exactas e naturais Natural sciences |
| Scientific areas: | Ciências exactas e naturais Natural sciences |
| DOI: | 10.34626/jgjd-kq92 |
| TID identifier: | 202907481 |
| URI: | https://hdl.handle.net/10216/139425 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FCUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 528142.pdf | Predicting IUCN conservation status through machine learning: a case study on reptiles | 11.26 MB | Adobe PDF |  View/Open |
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