SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 551–600 of 1237 papers

TitleStatusHype
Driving Mechanisms and Forecasting of China's Pet Population-An ARIMA-RF-HW Hybrid Approach—0
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems—0
Constructing High Frequency Economic Indicators by Imputation—0
Forecasting the Price of Rice in Banda Aceh after Covid-19—0
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach—0
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning—0
Flexible Motion In-betweening with Diffusion Models—0
Fine-tuning -- a Transfer Learning approach—0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks—0
A Structured Prediction Approach for Missing Value Imputation—0
Conditional Lagrangian Wasserstein Flow for Time Series Imputation—0
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning—0
Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data—0
Conditional Information Bottleneck Approach for Time Series Imputation—0
A step towards the integration of machine learning and small area estimation—0
A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative—0
A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data—0
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation—0
Field-of-View Extension for Brain Diffusion MRI via Deep Generative Models—0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments—0
Conditional Generation of Periodic Signals with Fourier-Based Decoder—0
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models—0
Federated Learning over Harmonized Data Silos—0
Federated Expectation Maximization with heterogeneity mitigation and variance reduction—0
A comprehensive survey on computational learning methods for analysis of gene expression data—0
Federated-EM with heterogeneity mitigation and variance reduction—0
Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset—0
Compound Density Networks for Risk Prediction using Electronic Health Records—0
FCMI: Feature Correlation based Missing Data Imputation—0
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation—0
Composable Generative Models—0
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data—0
Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees—0
Fast Imbalanced Classification of Healthcare Data with Missing Values—0
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion—0
Comparison of Missing Data Imputation Methods using the Framingham Heart study dataset—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
A Mechanism for Producing Aligned Latent Spaces with Autoencoders—0
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals—0
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
Comparative Study of Instance Based Learning and Back Propagation for Classification Problems—0
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values—0
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—0
Fairness in Missing Data Imputation—0
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network—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
Alternators With Noise Models—0
Exploring Visual Complaints through a test battery in Acquired Brain Injury Patients: A Detailed Analysis of the DiaNAH Dataset—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