SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 751–800 of 1237 papers

TitleStatusHype
Generative Trees: Adversarial and Copycat—0
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings—0
Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing—0
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves—0
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project—0
Variational Bayesian Filtering with Subspace Information for Extreme Spatio-Temporal Matrix Completion—0
Time Series Generation with Masked AutoencoderCode1
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique—0
A Kernel-Expanded Stochastic Neural NetworkCode0
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease—0
Differentiable and Scalable Generative Adversarial Models for Data Imputation—0
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems—0
Model-based Clustering with Missing Not At Random DataCode0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
On the Relation between Prediction and Imputation Accuracy under Missing Covariates—0
Federated-EM with heterogeneity mitigation and variance reduction—0
Auditing Black-Box Prediction Models for Data Minimization ComplianceCode0
What’s a good imputation to predict with missing values?—0
Improving random walk rankings with feature selection and imputationCode0
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation—0
Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure—0
A Graph-based Imputation Method for Sparse Medical Records—0
MIRACLE: Causally-Aware Imputation via Learning Missing Data MechanismsCode1
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations—0
Federated Expectation Maximization with heterogeneity mitigation and variance reduction—0
Deconvolutional Networks on Graph Data—0
Identifiable Generative Models for Missing Not at Random Data ImputationCode1
MisConv: Convolutional Neural Networks for Missing DataCode1
Relay Variational Inference: A Method for Accelerated Encoderless VI—0
Conditional Generation of Periodic Signals with Fourier-Based Decoder—0
Fairness in Missing Data Imputation—0
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops—0
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records—0
Simultaneous Missing Value Imputation and Structure Learning with Groups—0
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance—0
CoRGi: Content-Rich Graph Neural Networks with Attention—0
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid—0
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification—0
Tabular Data Imputation: Choose KNN over Deep Learning—0
IA-MARL: Imputation Assisted Multi-Agent Reinforcement Learning for Missing Training Data—0
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion—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
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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