A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution - APTIKAL
Article Dans Une Revue IEEE Journal of Biomedical and Health Informatics Année : 2021

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hal-04763776 , version 1 (02-11-2024)

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Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini. A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. IEEE Journal of Biomedical and Health Informatics, 2021, 25 (10), pp.3983-3994. ⟨10.1109/JBHI.2021.3074206⟩. ⟨hal-04763776⟩
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