SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 1237 papers

TitleStatusHype
Certain and Approximately Certain Models for Statistical Learning—0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India—0
AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction—0
Artificial Intelligence in Glioma Imaging: Challenges and Advances—0
Adapting tree-based multiple imputation methods for multi-level data? A simulation study—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
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism—0
Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction—0
A parameter-free clustering algorithm for missing datasets—0
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models—0
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning—0
A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion—0
Evidential Deep Partial Multi-View Classification With Discount Fusion—0
Causal Discovery from Incomplete Data: A Deep Learning Approach—0
Categorical EHR Imputation with Generative Adversarial Nets—0
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction—0
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation—0
Can LLMs Support Medical Knowledge Imputation? An Evaluation-Based Perspective—0
An Update to the Minho Quotation Resource—0
A Graph-based Imputation Method for Sparse Medical Records—0
Calibration of prediction rules for life-time outcomes using prognostic Cox regression survival models and multiple imputations to account for missing predictor data with cross-validatory assessment—0
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples—0
Caformer: Rethinking Time Series Analysis from Causal Perspective—0
An Unsupervised Homogenization Pipeline for Clustering Similar Patients using Electronic Health Record Data—0
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control—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