SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 1237 papers

TitleStatusHype
ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory ImputationCode1
Automated data processing and feature engineering for deep learning and big data applications: a survey—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
An Admissible Shift-Consistent Method for Recommender Systems—0
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation—0
An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics—0
Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements—0
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality—0
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education—0
Driving Mechanisms and Forecasting of China's Pet Population-An ARIMA-RF-HW Hybrid Approach—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation—0
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder—0
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches—0
A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining—0
Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder—0
A data imputation method for multivariate time series based on generative adversarial network—0
A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data—0
Customer Price Sensitivities in Competitive Automobile Insurance Markets—0
DAM: Towards A Foundation Model for Time Series Forecasting—0
Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure—0
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning—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