SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 1176–1200 of 1237 papers

TitleStatusHype
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion—0
Fast Imbalanced Classification of Healthcare Data with Missing Values—0
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation—0
Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees—0
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation—0
FCMI: Feature Correlation based Missing Data Imputation—0
Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset—0
Federated-EM with heterogeneity mitigation and variance reduction—0
Federated Expectation Maximization with heterogeneity mitigation and variance reduction—0
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network—0
Federated Learning over Harmonized Data Silos—0
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models—0
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments—0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
Field-of-View Extension for Brain Diffusion MRI via Deep Generative Models—0
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation—0
Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data—0
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning—0
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs—0
Single-Cell Proteomics Using Mass Spectrometry—0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks—0
Fine-tuning -- a Transfer Learning approach—0
Flexible Motion In-betweening with Diffusion Models—0
An approach to dealing with missing values in heterogeneous data using k-nearest neighbors—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