SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 401–450 of 1237 papers

TitleStatusHype
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction—0
Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning—0
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks—0
Exploring Visual Complaints through a test battery in Acquired Brain Injury Patients: A Detailed Analysis of the DiaNAH Dataset—0
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data—0
Factoring Variations in Natural Images with Deep Gaussian Mixture Models—0
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data—0
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network—0
Fairness in Missing Data Imputation—0
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—0
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values—0
Comparative Study of Instance Based Learning and Back Propagation for Classification Problems—0
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation—0
Fast Imbalanced Classification of Healthcare Data with Missing Values—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees—0
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation—0
FCMI: Feature Correlation based Missing Data Imputation—0
Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset—0
Federated-EM with heterogeneity mitigation and variance reduction—0
A novel feature selection framework for incomplete data—0
Handling missing data in model-based clustering—0
Federated Learning over Harmonized Data Silos—0
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models—0
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data—0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
DIM-SUM: Dynamic IMputation for Smart Utility Management—0
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation—0
Boundary-enhanced time series data imputation with long-term dependency diffusion models—0
Dimensionality reduction with missing values imputation—0
Conditional Lagrangian Wasserstein Flow for Time Series Imputation—0
A step towards the integration of machine learning and small area estimation—0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks—0
Fine-tuning -- a Transfer Learning approach—0
A nonparametric HMM for genetic imputation and coalescent inference—0
Flexible Motion In-betweening with Diffusion Models—0
Graph Signal Adaptive Message Passing—0
Diffusion Models for Time Series Applications: A Survey—0
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation—0
Forecasting the Price of Rice in Banda Aceh after Covid-19—0
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation—0
Constructing High Frequency Economic Indicators by Imputation—0
Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation—0
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems—0
A General Framework for Uncertainty Quantification via Neural SDE-RNN—0
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection—0
Graph Sanitation with Application to Node Classification—0
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder—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