SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–875 of 1237 papers

TitleStatusHype
Tabular Data Imputation: Choose KNN over Deep Learning—0
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values—0
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs—0
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns—0
Unsupervised domain adaptation with non-stochastic missing dataCode0
Modelling Major Disease Outbreaks in the 21st Century: A Causal Approach—0
Recovering individual emotional states from sparse ratings using collaborative filteringCode0
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education—0
Estimating a new panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income economies—0
Automatic Componentwise Boosting: An Interpretable AutoML System—0
RIFLE: Imputation and Robust Inference from Low Order MarginalsCode0
Multiple imputation and test-wise deletion for causal discovery with incomplete cohort dataCode0
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative ModelsCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
A computational study on imputation methods for missing environmental data—0
Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques—0
Categorical EHR Imputation with Generative Adversarial Nets—0
Missingness Augmentation: A General Approach for Improving Generative Imputation ModelsCode0
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective—0
A Modulation Layer to Increase Neural Network Robustness Against Data Quality IssuesCode0
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data—0
Scalable Data Balancing for Unlabeled Satellite Imagery—0
Gradient Importance Learning for Incomplete ObservationsCode0
A Mechanism for Producing Aligned Latent Spaces with Autoencoders—0
Meta-learning for Matrix Factorization without Shared Rows or Columns—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