SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 151–175 of 1237 papers

TitleStatusHype
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—0
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation—0
Missing data imputation for noisy time-series data and applications in healthcare—0
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions—0
Federated Foundation Models on Heterogeneous Time SeriesCode1
Generalized Least Squares Kernelized Tensor FactorizationCode0
PyPulse: A Python Library for Biosignal ImputationCode1
Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations—0
Imputation Matters: A Deeper Look into an Overlooked Step in Longitudinal Health and Behavior Sensing Research—0
An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic DataCode0
ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial TranscriptomicsCode1
Interpretable Generalized Additive Models for Datasets with Missing ValuesCode0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series—0
Well log data generation and imputation using sequence-based generative adversarial networks—0
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
Forecasting the Price of Rice in Banda Aceh after Covid-19—0
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data—0
mDAE : modified Denoising AutoEncoder for missing data imputation—0
UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal LearningCode1
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction—0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
Expert Study on Interpretable Machine Learning Models with Missing Data—0
FM-TS: Flow Matching for Time Series GenerationCode1
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation—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