SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 951–1000 of 1237 papers

TitleStatusHype
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurementsCode0
A Kernel-Expanded Stochastic Neural NetworkCode0
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoMLCode0
A Missing Data Imputation GAN for Character Sprite GenerationCode0
A Modulation Layer to Increase Neural Network Robustness Against Data Quality IssuesCode0
An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic DataCode0
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model PredictionsCode0
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural NetworksCode0
A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen ModelsCode0
Arbitrary Conditional Distributions with EnergyCode0
Arbitrary Conditional Distributions with EnergyCode0
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparisonCode0
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing DataCode0
Asynchronous Graph GeneratorCode0
Auditing Black-Box Prediction Models for Data Minimization ComplianceCode0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
Autoencoder-based Attribute Noise Handling Method for Medical DataCode0
A Variational Autoencoder for Heterogeneous Temporal and Longitudinal DataCode0
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream ClassificationCode0
BAMITA: Bayesian Multiple Imputation for Tensor ArraysCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Bayesian Simultaneous Factorization and Prediction Using Multi-Omic DataCode0
Benchmarking missing-values approaches for predictive models on health databasesCode0
BiGCN: Leveraging Cell and Gene Similarities for Single-cell Transcriptome Imputation with Bi-Graph Convolutional NetworksCode0
Blind Image Denoising and Inpainting Using Robust Hadamard AutoencodersCode0
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity LearningCode0
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing DataCode0
BRITS: Bidirectional Recurrent Imputation for Time SeriesCode0
CDR: Conservative Doubly Robust Learning for Debiased RecommendationCode0
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series ImputationCode0
Change point detection for graphical models in the presence of missing valuesCode0
Classification of Stress via Ambulatory ECG and GSR DataCode0
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learningCode0
CLEAR: Coverage-based Limiting-cell Experiment Analysis for RNA-seqCode0
CollaGAN : Collaborative GAN for Missing Image Data ImputationCode0
Combining datasets to increase the number of samples and improve model fittingCode0
Completing Single-Cell DNA Methylome Profiles via Transfer Learning Together With KL-DivergenceCode0
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance EstimationsCode0
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral SamplingCode0
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weightingCode0
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRsCode0
Convolve and Conquer: Data Comparison with Wiener FiltersCode0
Correcting for Selection Bias and Missing Response in Regression using Privileged InformationCode0
Correlating Variational Autoencoders Natively For Multi-View ImputationCode0
CoSTI: Consistency Models for (a faster) Spatio-Temporal ImputationCode0
Cost-Sensitive Active Learning for Incomplete DataCode0
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics DataCode0
CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 PatientsCode0
Cross-Domain Conditional Diffusion Models for Time Series ImputationCode0
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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