SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 51–100 of 1237 papers

TitleStatusHype
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication—0
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism—0
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor DataCode0
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach—0
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weightingCode0
Quantum-Inspired Optimization Process for Data Imputation—0
Prediction Models That Learn to Avoid Missing ValuesCode0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current EffectsCode0
A-DARTS: Stable Model Selection for Data Repair in Time SeriesCode0
LSTM+Geo with xgBoost Filtering: A Novel Approach for Race and Ethnicity Imputation with Reduced Bias—0
OmicsQ: A User-Friendly Platform for Interactive Quantitative Omics Data AnalysisCode0
Identification and Estimation of Long-Term Treatment Effects with Monotone Missing—0
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and ImputationCode1
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics—0
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security ApplicationsCode0
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels—0
A Double-Norm Aggregated Tensor Latent Factorization Model for Temporal-Aware Traffic Speed Imputation—0
Deep learning with missing dataCode0
The Synthetic Imputation Approach: Generating Optimal Synthetic Texts For Underrepresented Categories In Supervised Classification Tasks—0
A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data—0
No Imputation of Missing Values In Tabular Data Classification Using Incremental Learning—0
Pets: General Pattern Assisted Architecture For Time Series Analysis—0
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments—0
Temporal Gaussian Copula For Clinical Multivariate Time Series Data ImputationCode0
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