SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 1001–1025 of 1237 papers

TitleStatusHype
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values—0
Neural ODEs for Informative Missingness in Multivariate Time Series—0
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders—0
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks—0
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images—0
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering—0
Ghost Imputation: Accurately Reconstructing Missing Data of the Off PeriodCode0
Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errorsCode0
Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForestCode0
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition—0
Learning Individual Models for Imputation (Technical Report)—0
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems—0
Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach—0
Generative Partial Multi-View Clustering—0
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation—0
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder—0
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data—0
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time SeriesCode0
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs—0
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable ModelsCode0
Missing Data Imputation for Classification Problems—0
Sequence-to-Sequence Imputation of Missing Sensor Data—0
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique—0
Online high rank matrix completion—0
Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback—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