FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets
| Autor: | Pezoulas, Vasileios C., Kalatzis, Fanis, Exarchos, Themis P., Goules, Andreas, Tzioufas, Athanasios G., Fotiadis, Dimitrios I. |
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| Zdroj: | In Patterns 12 January 2024 5(1) |
| Databáze: | ScienceDirect |
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