SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 251–300 of 1237 papers

TitleStatusHype
CrowdMI: Multiple Imputation via Crowdsourcing—0
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization—0
Comparative Study of Instance Based Learning and Back Propagation for Classification Problems—0
Customer Price Sensitivities in Competitive Automobile Insurance Markets—0
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—0
Alternators With Noise Models—0
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network—0
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data—0
Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data—0
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values—0
CollaGAN: Collaborative GAN for Missing Image Data Imputation—0
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks—0
A Local Temporal Difference Code for Distributional Reinforcement Learning—0
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Collaboratively Learning Linear Models with Structured Missing Data—0
EINS: Long Short-Term Memory with Extrapolated Input Network Simplification—0
Out-of-Vocabulary Embedding Imputation with Grounded Language Information by Graph Convolutional Networks—0
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning—0
Cohort-Based Active Modality Acquisition—0
Variational manifold learning from incomplete data: application to multislice dynamic MRI—0
CodeBrain: Impute Any Brain MRI via Instance-specific Scalar-quantized Codes—0
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs—0
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation—0
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance—0
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach—0
Clustering with missing data: which equivalent for Rubin's rules?—0
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique—0
ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN)—0
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs—0
Adaptive Optimization for Prediction with Missing Data—0
EGG-GAE: scalable graph neural networks for tabular data imputation—0
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models—0
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid—0
Explainability as statistical inference—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness—0
E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation—0
Dynamic Question Ordering in Online Surveys—0
Arbitrarily-conditioned Data Imputation—0
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns—0
Early Detection of Sepsis using Ensemblers—0
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks—0
Classification of datasets with imputed missing values: does imputation quality matter?—0
A Quantitative Evaluation Framework for Missing Value Imputation Algorithms—0
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models—0
Adaptive imputation of missing values for incomplete pattern classification—0
Dual-Label Learning With Irregularly Present Labels—0
Dynamical selection of Nash equilibria using Experience Weighted Attraction Learning: emergence of heterogeneous mixed equilibria—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets—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