SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 1026–1050 of 1237 papers

TitleStatusHype
Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure—0
Score matching for sub-Riemannian bridge sampling—0
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance—0
Data Imputation through the Identification of Local Anomalies—0
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit—0
Data is missing again -- Reconstruction of power generation data using k-Nearest Neighbors and spectral graph theory—0
Dataset-Agnostic Recommender Systems—0
Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification—0
Data Wrangling Task Automation Using Code-Generating Language Models—0
Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble—0
WARP: An Efficient Engine for Multi-Vector Retrieval—0
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving—0
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation—0
Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition—0
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics—0
Deconvolutional Networks on Graph Data—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves—0
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems—0
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images—0
Deep Distribution-preserving Incomplete Clustering with Optimal Transport—0
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Contextual HyperNetworks for Novel Feature Adaptation—0
Deep Generative Imputation Model for Missing Not At Random Data—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