SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 1237 papers

TitleStatusHype
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRsCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForestCode0
Combining datasets to increase the number of samples and improve model fittingCode0
Integrated Analysis for Electronic Health Records with Structured and Sporadic MissingnessCode0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian ModelCode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
CollaGAN : Collaborative GAN for Missing Image Data ImputationCode0
Hard and Soft EM in Bayesian Network Learning from Incomplete DataCode0
Handling Incomplete Heterogeneous Data using VAEsCode0
Knowledge Enhanced Conditional Imputation for Healthcare Time-seriesCode0
HeMIS: Hetero-Modal Image SegmentationCode0
Auditing Black-Box Prediction Models for Data Minimization ComplianceCode0
Graph Markov Network for Traffic Forecasting with Missing DataCode0
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparisonCode0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
A Modulation Layer to Increase Neural Network Robustness Against Data Quality IssuesCode0
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature ScalesCode0
Graph-Based Semi-Supervised Learning with Non-ignorable Non-responseCode0
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature SetsCode0
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics DataCode0
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal ViewCode0
CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 PatientsCode0
Addressing Correlated Latent Exogenous Variables in Debiased Recommender SystemsCode0
Geometry- and Accuracy-Preserving Random Forest ProximitiesCode0
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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