SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 301–350 of 1237 papers

TitleStatusHype
Imputing Brain Measurements Across Data Sets via Graph Neural NetworksCode0
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing DataCode0
Imputing typological values via phylogenetic inferenceCode0
Imputation using training labels and classification via label imputationCode0
Diffusion model for relational inferenceCode0
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor DataCode0
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time SeriesCode0
Joint Analysis of Single-Cell Data across Cohorts with Missing ModalitiesCode0
Missing Data Imputation with Adversarially-trained Graph Convolutional NetworksCode0
Improving Missing Data Imputation with Deep Generative ModelsCode0
Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motionCode0
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural NetworksCode0
Improving random walk rankings with feature selection and imputationCode0
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic ModelCode0
Image Inpainting Using Wasserstein Generative Adversarial Imputation NetworkCode0
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node ClassifiersCode0
Blind Image Denoising and Inpainting Using Robust Hadamard AutoencodersCode0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model PredictionsCode0
BiGCN: Leveraging Cell and Gene Similarities for Single-cell Transcriptome Imputation with Bi-Graph Convolutional NetworksCode0
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity LearningCode0
Imputation Strategies Under Clinical Presence: Impact on Algorithmic FairnessCode0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian ModelCode0
Hard and Soft EM in Bayesian Network Learning from Incomplete DataCode0
HeMIS: Hetero-Modal Image SegmentationCode0
imputeTS: Time Series Missing Value Imputation in RCode0
Handling Incomplete Heterogeneous Data using VAEsCode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForestCode0
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current EffectsCode0
Do Machine Learning Models Learn Statistical Rules Inferred from Data?Code0
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian ProcessesCode0
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathologyCode0
HexaGAN: Generative Adversarial Nets for Real World ClassificationCode0
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational FamiliesCode0
Benchmarking missing-values approaches for predictive models on health databasesCode0
Graph Markov Network for Traffic Forecasting with Missing DataCode0
Graph-Based Semi-Supervised Learning with Non-ignorable Non-responseCode0
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature ScalesCode0
Geometry- and Accuracy-Preserving Random Forest ProximitiesCode0
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?Code0
An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic DataCode0
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in GraphsCode0
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series ImputationCode0
Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing DataCode0
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D ImputationCode0
Ghost Imputation: Accurately Reconstructing Missing Data of the Off PeriodCode0
PRISM: Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration for EHR Data Sparsity MitigationCode0
Deep learning with missing dataCode0
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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