SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 1051–1075 of 1237 papers

TitleStatusHype
Variational Selective Autoencoder—0
Arbitrarily-conditioned Data Imputation—0
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data—0
Probabilistic sequential matrix factorizationCode0
On Tractable Computation of Expected PredictionsCode0
Blood lactate concentration prediction in critical care patients: handling missing values—0
A data imputation method for multivariate time series based on generative adversarial network—0
ProtRank: Bypassing the imputation of missing values in differential expression analysis of proteomic dataCode0
EINS: Long Short-Term Memory with Extrapolated Input Network Simplification—0
Supervised learning with incomplete data via sparse representations—0
Unsupervised domain adaptation with imputation—0
Learning from Partially-Observed Multimodal Data with Variational Autoencoders—0
Regularising Deep Networks with Deep Generative Models—0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal DimensionCode0
E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation—0
Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation—0
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learningCode0
The Challenge of Imputation in Explainable Artificial Intelligence Models—0
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging—0
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type DataCode0
Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software frameworkCode0
Change point detection for graphical models in the presence of missing valuesCode0
Time series cluster kernels to exploit informative missingness and incomplete label information—0
GP-VAE: Deep Probabilistic Time Series ImputationCode0
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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