SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 1237 papers

TitleStatusHype
Domain Adaptation Under MNAR Missingness—0
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm—0
Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective—0
tempdisagg: A Python Framework for Temporal Disaggregation of Time Series DataCode1
Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing DataCode0
Probabilistic Net Load Forecasting for High-Penetration RES Grids Utilizing Enhanced Conditional Diffusion Model—0
Exploring Visual Complaints through a test battery in Acquired Brain Injury Patients: A Detailed Analysis of the DiaNAH Dataset—0
ImputeGAP: A Comprehensive Library for Time Series Imputation—0
Identifying Critical Phases for Disease Onset with Sparse Haematological Biomarkers—0
Learning Accurate Models on Incomplete Data with Minimal Imputation—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values—0
Incomplete Multi-view Clustering via Diffusion Contrastive Generation—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
The influence of missing data mechanisms and simple missing data handling techniques on fairness—0
Water Quality Data Imputation via A Fast Latent Factorization of Tensors with PID-based Optimizer—0
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsCode0
Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene SynthesisCode0
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels—0
Modality-Agnostic Style Transfer for Holistic Feature Imputation—0
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios—0
Multiple Linked Tensor FactorizationCode0
Evaluation of Missing Data Imputation for Time Series Without Ground Truth—0
Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning—0
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data—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