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Found 2 papers, 1 papers with code
Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
This study proposes Evolutionary Causal Discovery (ECD) for causal discovery that tailors response variables, predictor variables, and corresponding operators to research datasets.
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-Attention
Addressing missing data in complex datasets including electronic health records (EHR) is critical for ensuring accurate analysis and decision-making in healthcare.
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