SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 301–350 of 1237 papers

TitleStatusHype
Boundary-enhanced time series data imputation with long-term dependency diffusion models—0
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation—0
Representation Learning of Lab Values via Masked AutoEncoderCode0
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation—0
Invariant debiasing learning for recommendation via biased imputationCode0
To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data ImputationCode0
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values—0
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature ScalesCode0
Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation StrategiesCode0
Optimizing Fintech Marketing: A Comparative Study of Logistic Regression and XGBoost—0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India—0
MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data—0
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates—0
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study—0
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation—0
Missing data imputation for noisy time-series data and applications in healthcare—0
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions—0
Generalized Least Squares Kernelized Tensor FactorizationCode0
Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations—0
Imputation Matters: A Deeper Look into an Overlooked Step in Longitudinal Health and Behavior Sensing Research—0
An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic DataCode0
Interpretable Generalized Additive Models for Datasets with Missing ValuesCode0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
Well log data generation and imputation using sequence-based generative adversarial networks—0
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series—0
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