SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 551–600 of 1237 papers

TitleStatusHype
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation—0
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing ValuesCode0
Correlated Attention in Transformers for Multivariate Time Series—0
Handling Overlapping Asymmetric Datasets -- A Twice Penalized P-Spline Approach—0
Xputer: Bridging Data Gaps with NMF, XGBoost, and a Streamlined GUI Experience—0
Iterative missing value imputation based on feature importance—0
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version)Code0
Convolve and Conquer: Data Comparison with Wiener FiltersCode0
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis—0
CATE Estimation With Potential Outcome Imputation From Local Regression—0
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data—0
IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support—0
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity LearningCode0
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models—0
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs—0
Foundation Models for Generalist Geospatial Artificial IntelligenceCode0
Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications—0
Improving Diffusion Models for ECG Imputation with an Augmented Template Prior—0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Graph Neural Network approaches for single-cell data: A recent overview—0
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics—0
Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic dataCode0
Vector Quantized Multi-modal Guidance for Alzheimer’s Disease Diagnosis Based on Feature ImputationCode0
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain—0
Data Cleaning and Machine Learning: A Systematic Literature ReviewCode0
SEED: Domain-Specific Data Curation With Large Language Models—0
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream ClassificationCode0
Handling missing data in Burundian sovereign bond market—0
Asynchronous Graph GeneratorCode0
Scaling Experiments in Self-Supervised Cross-Table Representation Learning—0
Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligenceCode0
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective—0
Multi-Dictionary Tensor DecompositionCode0
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series—0
SHIELD: Secure Haplotype Imputation Employing Local Differential Privacy—0
Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic DecompositionCode0
PRISM: Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration for EHR Data Sparsity MitigationCode0
Generalized Simplicial Attention Neural NetworksCode0
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation—0
Karhunen-Loève Data Imputation in High Contrast Imaging—0
Large Language Models as Data Preprocessors—0
Multiple Augmented Reduced Rank Regression for Pan-Cancer AnalysisCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRsCode0
Imputing Brain Measurements Across Data Sets via Graph Neural NetworksCode0
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig—0
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral SamplingCode0
Deep Generative Imputation Model for Missing Not At Random Data—0
Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels—0
CDR: Conservative Doubly Robust Learning for Debiased RecommendationCode0
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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