SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 1237 papers

TitleStatusHype
MIST GAN: Modality Imputation Using Style Transfer for MRI—0
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data—0
Classification of datasets with imputed missing values: does imputation quality matter?—0
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems—0
MNT-TNN: Spatiotemporal Traffic Data Imputation via Compact Multimode Nonlinear Transform-based Tensor Nuclear Norm—0
Modality-Agnostic Style Transfer for Holistic Feature Imputation—0
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks—0
AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction—0
A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data—0
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels—0
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition—0
Modeling electronic health record data using a knowledge-graph-embedded topic model—0
Modeling Missing Data in Clinical Time Series with RNNs—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion—0
Modelling Genetic Variations using Fragmentation-Coagulation Processes—0
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series—0
Modelling Major Disease Outbreaks in the 21st Century: A Causal Approach—0
Modern Multiple Imputation with Functional Data—0
Monocular Depth Estimation using Diffusion Models—0
MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling—0
ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN)—0
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records—0
Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values—0
Multi-Linear Kernel Regression and Imputation in Data Manifolds—0
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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