"FHBF: Federated hybrid boosted forests with dropout rates for supervised ..."

Vasileios C. Pezoulas et al. (2024)

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DOI: 10.1016/J.PATTER.2023.100893

access: open

type: Journal Article

metadata version: 2024-08-04

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Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
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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