SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 951–1000 of 1237 papers

TitleStatusHype
Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation—0
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor DataCode1
Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in OnTheMap—0
Predicting feature imputability in the absence of ground truth—0
Graph Convolutional Networks for Graphs Containing Missing FeaturesCode1
An Efficient Data Imputation Technique for Human Activity Recognition—0
Does imputation matter? Benchmark for predictive models—0
NeuMiss networks: differentiable programming for supervised learning with missing values—0
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting—0
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data—0
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values—0
Joints in Random ForestsCode1
On Multivariate Singular Spectrum Analysis and its Variants—0
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network—0
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian CopulaCode1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series ForecastingCode1
Longitudinal Variational Autoencoder—0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks—0
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor ProjectionsCode1
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning—0
VAEs in the Presence of Missing DataCode1
Handling missing data in model-based clustering—0
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data—0
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
Path Imputation Strategies for Signature Models of Irregular Time SeriesCode0
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values—0
Lung Segmentation from Chest X-rays using Variational Data ImputationCode1
Neural ODEs for Informative Missingness in Multivariate Time Series—0
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)Code1
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 Recurrent Model for Individualized Prediction of Alzheimer's Disease ProgressionCode1
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
MCFlow: Monte Carlo Flow Models for Data ImputationCode1
Age-structured impact of social distancing on the COVID-19 epidemic in IndiaCode1
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-Gated Stochastic Sequential Model for EHR Mortality PredictionCode2
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time SeriesCode0
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs—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