SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1050 of 1237 papers

TitleStatusHype
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AICode0
Data Cleaning and Machine Learning: A Systematic Literature ReviewCode0
Data-Driven Copy-Paste Imputation for Energy Time SeriesCode0
Data Generation as Sequential Decision MakingCode0
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based MethodCode0
Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing DataCode0
Dealing with missing data using attention and latent space regularizationCode0
Debiased Recommendation with Noisy FeedbackCode0
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learningCode0
Deep Generative Pattern-Set Mixture Models for Nonignorable MissingnessCode0
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive FrameworkCode0
Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic dataCode0
Deep learning with missing dataCode0
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic ModelCode0
Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motionCode0
Diffusion model for relational inferenceCode0
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current EffectsCode0
Do Machine Learning Models Learn Statistical Rules Inferred from Data?Code0
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic ControlCode0
Doubly Calibrated Estimator for Recommendation on Data Missing Not At RandomCode0
Do We Really Need Imputation in AutoML Predictive Modeling?Code0
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?Code0
DPER: Efficient Parameter Estimation for Randomly Missing DataCode0
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in GraphsCode0
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D ImputationCode0
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingCode0
Efficient HLA imputation from sequential SNPs data by TransformerCode0
Embedding Imputation with Grounded Language InformationCode0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
Enhancing Domain Word Embedding via Latent Semantic ImputationCode0
Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic DecompositionCode0
Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive LearningCode0
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing DataCode0
Estimating Exoplanet Mass using Machine Learning on Incomplete DatasetsCode0
Evaluating the Impact of Intensity Normalization on MR Image SynthesisCode0
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning ApproachesCode0
Explainability of Machine Learning Models under Missing DataCode0
Explainable LightGBM Approach for Predicting Myocardial Infarction MortalityCode0
Exploring and Exploiting Uncertainty for Incomplete Multi-View ClassificationCode0
Fair Classification with Adversarial PerturbationsCode0
Fairness and Missing ValuesCode0
Fairness Under Unawareness: Assessing Disparity When Protected Class Is UnobservedCode0
Family based HLA imputation and optimization of haplo-identical transplantsCode0
FastImpute: A Baseline for Open-source, Reference-Free Genotype Imputation Methods -- A Case Study in PRS313Code0
Filling the Missings: Spatiotemporal Data Imputation by Conditional DiffusionCode0
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputationCode0
Flexible variable selection in the presence of missing dataCode0
fMRI Multiple Missing Values Imputation Regularized by a Recurrent DenoiserCode0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Show:102550
← PrevPage 21 of 25Next →
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