Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets | 0 | 0.34 | 2020 |
TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning | 3 | 0.40 | 2020 |
Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. | 3 | 0.39 | 2020 |
Global Interpretation for Patient Similarity Learning. | 0 | 0.34 | 2020 |
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. | 0 | 0.34 | 2019 |
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network. | 1 | 0.37 | 2018 |
Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network | 3 | 0.40 | 2018 |