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ORCID"FHBF: Federated hybrid boosted forests with dropout rates for supervised ..."
Vasileios C. Pezoulas et al. (2024)
- Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
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FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. Patterns 5(1): 100893 (2024)
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