SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 201–250 of 1237 papers

TitleStatusHype
Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder—0
A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data—0
Contextual HyperNetworks for Novel Feature Adaptation—0
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig—0
DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis—0
DiffPhase: Generative Diffusion-based STFT Phase Retrieval—0
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data—0
Constructing High Frequency Economic Indicators by Imputation—0
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning—0
Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing—0
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative—0
Conditional Lagrangian Wasserstein Flow for Time Series Imputation—0
Conditional Information Bottleneck Approach for Time Series Imputation—0
A step towards the integration of machine learning and small area estimation—0
A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data—0
Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel Hybrid Feature-selection Method and Robust Data Preparation Pipeline for Different ML Techniques—0
A Structured Prediction Approach for Missing Value Imputation—0
Conditional Generation of Periodic Signals with Fourier-Based Decoder—0
A comprehensive survey on computational learning methods for analysis of gene expression data—0
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach—0
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals—0
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures—0
Compound Density Networks for Risk Prediction using Electronic Health Records—0
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation—0
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit—0
A data imputation method for multivariate time series based on generative adversarial network—0
Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation—0
Convergence Properties of Kronecker Graphical Lasso Algorithms—0
Convolutional Bipartite Attractor Networks—0
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations—0
Composable Generative Models—0
Convolutional Neural Processes for Inpainting Satellite Images—0
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data—0
CoRGi: Content-Rich Graph Neural Networks with Attention—0
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory—0
Correlated Attention in Transformers for Multivariate Time Series—0
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation—0
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
CATE Estimation With Potential Outcome Imputation From Local Regression—0
A Mechanism for Producing Aligned Latent Spaces with Autoencoders—0
Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning—0
Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals—0
Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System—0
Comparative Study of Instance Based Learning and Back Propagation for Classification Problems—0
An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics—0
Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation—0
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—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