SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 651–700 of 1237 papers

TitleStatusHype
Likelihood Estimation with Incomplete Array Variate Observations—0
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications—0
Boundary-enhanced time series data imputation with long-term dependency diffusion models—0
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation—0
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling—0
Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis—0
Longitudinal Variational Autoencoder—0
Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks—0
Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation—0
Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation—0
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames—0
Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations—0
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation—0
LSM-2: Learning from Incomplete Wearable Sensor Data—0
LSTM+Geo with xgBoost Filtering: A Novel Approach for Race and Ethnicity Imputation with Reduced Bias—0
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective—0
Blood lactate concentration prediction in critical care patients: handling missing values—0
M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation—0
On L_2-consistency of nearest neighbor matching—0
The Challenge of Imputation in Explainable Artificial Intelligence Models—0
Machine Learning Approaches for Binary Classification to Discover Liver Diseases using Clinical Data—0
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication—0
Machine Learning Based Missing Values Imputation in Categorical Datasets—0
Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients—0
Machine Learning for Missing Value Imputation—0
Data-driven model for hydraulic fracturing design optimization: focus on building digital database and production forecast—0
Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation—0
Machine learning with incomplete datasets using multi-objective optimization models—0
MADS: Modulated Auto-Decoding SIREN for time series imputation—0
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data—0
MAIN: Multihead-Attention Imputation Networks—0
Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method—0
Spatiotemporal Regularized Tucker Decomposition Approach for Traffic Data Imputation—0
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction—0
MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data—0
MarkerMap: nonlinear marker selection for single-cell studies—0
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis—0
Masking the Gaps: An Imputation-Free Approach to Time Series Modeling with Missing Data—0
Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data—0
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data—0
The influence of missing data mechanisms and simple missing data handling techniques on fairness—0
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs—0
mDAE : modified Denoising AutoEncoder for missing data imputation—0
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning—0
M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values—0
MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support—0
The Investment Management Game: Extending the Scope of the Notion of Core—0
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning—0
Variational inference of latent state sequences using Recurrent Networks—0
Metabolomic profiles in Jamaican children with and without autism spectrum disorder—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