SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 1151–1200 of 1237 papers

TitleStatusHype
Shared Differential Clustering across Single-cell RNA Sequencing Datasets with the Hierarchical Dirichlet Process—0
Evaluation of Missing Data Imputation for Time Series Without Ground Truth—0
Evidential Deep Partial Multi-View Classification With Discount Fusion—0
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation—0
Evolving imputation strategies for missing data in classification problems with TPOT—0
Exact heat kernel on a hypersphere and its applications in kernel SVM—0
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection—0
Expert Study on Interpretable Machine Learning Models with Missing Data—0
Explainability as statistical inference—0
Sharing pattern submodels for prediction with missing values—0
Explainable Data Imputation using Constraints—0
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation—0
SHIELD: Secure Haplotype Imputation Employing Local Differential Privacy—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
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters—0
Exploring Visual Complaints through a test battery in Acquired Brain Injury Patients: A Detailed Analysis of the DiaNAH Dataset—0
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—0
Factoring Variations in Natural Images with Deep Gaussian Mixture Models—0
Short-term forecasting of global solar irradiance with incomplete data—0
Similarity-based prediction of Ejection Fraction in Heart Failure Patients—0
Fairness in Missing Data Imputation—0
An Efficient Data Imputation Technique for Human Activity Recognition—0
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values—0
An Automatic Prompt Generation System for Tabular Data Tasks—0
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion—0
Fast Imbalanced Classification of Healthcare Data with Missing Values—0
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation—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
Federated Expectation Maximization with heterogeneity mitigation and variance reduction—0
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network—0
Federated Learning over Harmonized Data Silos—0
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models—0
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments—0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
Field-of-View Extension for Brain Diffusion MRI via Deep Generative Models—0
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation—0
Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data—0
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning—0
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs—0
Single-Cell Proteomics Using Mass Spectrometry—0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks—0
Fine-tuning -- a Transfer Learning approach—0
Flexible Motion In-betweening with Diffusion Models—0
An approach to dealing with missing values in heterogeneous data using k-nearest neighbors—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