SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 601–650 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
Multilinear Kernel Regression and Imputation via Manifold Learning—0
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique—0
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion—0
Clustering with missing data: which equivalent for Rubin's rules?—0
Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI—0
Multi-objective Feature Selection with Missing Data in Classification—0
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation—0
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach—0
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs—0
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders—0
CodeBrain: Impute Any Brain MRI via Instance-specific Scalar-quantized Codes—0
Cohort-Based Active Modality Acquisition—0
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems—0
Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback—0
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning—0
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction—0
Collaboratively Learning Linear Models with Structured Missing Data—0
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks—0
Multiple Predictively Equivalent Risk Models for Handling Missing Data at Time of Prediction: with an Application in Severe Hypoglycemia Risk Prediction for Type 2 Diabetes—0
Multiple Robust Learning for Recommendation—0
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)—0
Multi-Source Data Fusion for Cyberattack Detection in Power Systems—0
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Multitask learning meets tensor factorization: task imputation via convex optimization—0
Multi-Task Learning with Incomplete Data for Healthcare—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