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Found 2 papers, 1 papers with code
Fine-tuning -- a Transfer Learning approach
Such a modular approach enables a) objective assessment of the quality of the imputer and classifier independently, and b) enables the exploration of the performance of simpler classification architectures using an optimised imputer.
Knowledge Enhanced Conditional Imputation for Healthcare Time-series
We introduce the Conditional Self-Attention Imputation (CSAI), a novel recurrent neural network architecture designed to address the challenges of complex missing data patterns in multivariate time series derived from hospital electronic health records (EHRs).
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