SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 211–220 of 1237 papers

TitleStatusHype
Compound Density Networks for Risk Prediction using Electronic Health Records—0
Composable Generative Models—0
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Conditional Information Bottleneck Approach for Time Series Imputation—0
Conditional Lagrangian Wasserstein Flow for Time Series Imputation—0
A Structured Prediction Approach for Missing Value Imputation—0
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset—0
A Mechanism for Producing Aligned Latent Spaces with Autoencoders—0
Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning—0
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All datasetsHMNISTPhysioNet Challenge 2012Sprites

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)MSE0—Unverified