SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 471–480 of 1237 papers

TitleStatusHype
Generative Adversarial Networks for Imputing Sparse Learning Performance—0
Generative Adversarial Networks for Spatio-temporal Data: A Survey—0
Generative Forests—0
Blood lactate concentration prediction in critical care patients: handling missing values—0
Generative Partial Multi-View Clustering—0
Generative Semi-supervised Learning for Multivariate Time Series Imputation—0
DiffPhase: Generative Diffusion-based STFT Phase Retrieval—0
Generative Trees: Adversarial and Copycat—0
Ae^2I: A Double Autoencoder for Imputation of Missing Values—0
Hinge-FM2I: An Approach using Image Inpainting for Interpolating Missing Data in Univariate Time Series—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