Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation

CESAR HERVAS MARTINEZPEDRO ANTONIO GUTIÉRREZ PEÑA2026-01-292026-01-29201710.1016/j.knosys.2017.02.0202-s2.0-85013427544https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/27894Artificial IntelligenceInformation Systems and ManagementManagement Information SystemsSoftwareSynthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantationresearch article