SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 1237 papers

TitleStatusHype
CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 PatientsCode0
Forecasting the Price of Rice in Banda Aceh after Covid-19—0
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data—0
mDAE : modified Denoising AutoEncoder for missing data imputation—0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction—0
Expert Study on Interpretable Machine Learning Models with Missing Data—0
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach—0
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation—0
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation—0
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph—0
GUIDE-VAE: Advancing Data Generation with User Information and Pattern DictionariesCode0
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis—0
Fine-tuning -- a Transfer Learning approach—0
Correlating Variational Autoencoders Natively For Multi-View ImputationCode0
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data—0
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control—0
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications—0
K-Means Clustering With Incomplete Data with the Use of Mahalanobis Distances—0
Partial Channel Dependence with Channel Masks for Time Series Foundation ModelsCode0
BAMITA: Bayesian Multiple Imputation for Tensor ArraysCode0
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters—0
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks—0
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation—0
General Causal Imputation via Synthetic Interventions—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