SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 851–900 of 1237 papers

TitleStatusHype
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets—0
On the Relation between Prediction and Imputation Accuracy under Missing Covariates—0
A data imputation method for multivariate time series based on generative adversarial network—0
TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports—0
Optimal Clustering with Missing Values—0
Tree-structured Gaussian Process Approximations—0
Optimized Linear Imputation—0
Optimizing Fintech Marketing: A Comparative Study of Logistic Regression and XGBoost—0
OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values—0
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models—0
Overlapping Trace Norms in Multi-View Learning—0
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification—0
A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data—0
Reward Imputation with Sketching for Contextual Batched Bandits—0
Partially Observed Exchangeable Modeling—0
Participatory Personalization in Classification—0
Well log data generation and imputation using sequence-based generative adversarial networks—0
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data—0
A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining—0
A Structured Prediction Approach for Missing Value Imputation—0
A step towards the integration of machine learning and small area estimation—0
Per-Block-Convex Data Modeling by Accelerated Stochastic Approximation—0
Performance comparison of State-of-the-art Missing Value Imputation Algorithms on Some Bench mark Datasets—0
Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data—0
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data—0
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models—0
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones—0
Perturbed Gibbs Samplers for Synthetic Data Release—0
Pets: General Pattern Assisted Architecture For Time Series Analysis—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets—0
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings—0
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data—0
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning—0
Precision Adaptive Imputation Network : An Unified Technique for Mixed Datasets—0
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification—0
Predicting feature imputability in the absence of ground truth—0
Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning—0
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks—0
TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis—0
Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data—0
Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques—0
Adaptive Optimization for Prediction with Missing Data—0
tsrobprep - an R package for robust preprocessing of time series data—0
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance—0
Prediction with Missing Data via Bayesian Additive Regression Trees—0
Simultaneous Missing Value Imputation and Structure Learning with Groups—0
Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using Machine Learning: Investigating the Influence of Punjab's Stubble Burning on AQI Variability—0
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks—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