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cs.LG2026
Bayesian Integration of Nonlinear Incomplete Clinical Data
Lucía González-Zamorano, Nuria Balbás-Esteban, Vanessa Gómez-Verdejo +2
Multimodal clinical data are characterized by high dimensionality, heterogeneous representations, and structured missingness, posing significant challenges for predictive modeling,…
cs.LG2024
The Relevance Feature and Vector Machine for health applications
Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández +1
This paper presents the Relevance Feature and Vector Machine (RFVM), a novel model that addresses the challenges of the fat-data problem when dealing with clinical prospective stud…