SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 551–600 of 1237 papers

TitleStatusHype
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation—0
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation—0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series—0
Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Incomplete Multi-view Clustering via Diffusion Contrastive Generation—0
Let us Build Bridges: Understanding and Extending Diffusion Generative Models—0
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation—0
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling—0
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation—0
An End-to-End Time Series Model for Simultaneous Imputation and Forecast—0
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series—0
Learning Representations for Incomplete Time Series Clustering—0
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data—0
Deep Distribution-preserving Incomplete Clustering with Optimal Transport—0
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention—0
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images—0
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes—0
Learning Multivariate CDFs and Copulas using Tensor Factorization—0
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders—0
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique—0
Imputing missing values with unsupervised random trees—0
Network embedding unveils the hidden interactions in the mammalian virome—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
ImputeGAP: A Comprehensive Library for Time Series Imputation—0
An End-to-End Model for Time Series Classification In the Presence of Missing Values—0
Deep Generative Imputation Model for Missing Not At Random Data—0
A computational study on imputation methods for missing environmental data—0
Inference for Regression with Variables Generated by AI or Machine Learning—0
Inference with Imputed Data: The Allure of Making Stuff Up—0
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations—0
A New Intelligence Based Approach for Computer-Aided Diagnosis of Dengue Fever—0
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking—0
A DNA Methylation Classification Model Predicts Organ and Disease Site—0
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves—0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
Learning Deep Generative Models with Doubly Stochastic MCMC—0
Learning from Partially-Observed Multimodal Data with Variational Autoencoders—0
Imputation techniques on missing values in breast cancer treatment and fertility data—0
Interpolation of Missing Swaption Volatility Data using Gibbs Sampling on Variational Autoencoders—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
Deconvolutional Networks on Graph Data—0
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings—0
IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support—0
IRTCI: Item Response Theory for Categorical Imputation—0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
Imputation Strategies for Rightcensored Wages in Longitudinal Datasets—0
Iterated geometric harmonics for data imputation and reconstruction of missing data—0
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning—0
Learning Cyclic Causal Models from Incomplete 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