SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Showing 851875 of 1237 papers

TitleStatusHype
Single-Cell Proteomics Using Mass Spectrometry0
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values0
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation0
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks0
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information0
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data0
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint0
Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting0
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation0
Spatiotemporal Estimation of TROPOMI NO2 Column with Depthwise Partial Convolutional Neural Network0
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation0
Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach0
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks0
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random0
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values0
An approach to dealing with missing values in heterogeneous data using k-nearest neighbors0
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments0
Statistical analysis of NOMAO customer votes for spots of France0
Statistical Inference after Kernel Ridge Regression Imputation under item nonresponse0
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data0
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders0
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks0
An Automatic Prompt Generation System for Tabular Data Tasks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.96Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.74Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)MSE0Unverified