SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 851–900 of 1237 papers

TitleStatusHype
Single-Cell Proteomics Using Mass Spectrometry—0
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values—0
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation—0
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks—0
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information—0
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data—0
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint—0
Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting—0
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation—0
Spatiotemporal Estimation of TROPOMI NO2 Column with Depthwise Partial Convolutional Neural Network—0
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation—0
Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach—0
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation—0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks—0
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random—0
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values—0
An approach to dealing with missing values in heterogeneous data using k-nearest neighbors—0
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments—0
Statistical analysis of NOMAO customer votes for spots of France—0
Statistical Inference after Kernel Ridge Regression Imputation under item nonresponse—0
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data—0
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks—0
An Automatic Prompt Generation System for Tabular Data Tasks—0
STING: Self-attention based Time-series Imputation Networks using GAN—0
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation—0
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation—0
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data—0
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion—0
Structured Bayesian Gaussian process latent variable model—0
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors—0
Supervised Learning for Multi-Block Incomplete Data—0
Supervised learning with incomplete data via sparse representations—0
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction—0
Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications—0
Synthesizing Proton-Density Fat Fraction and R_2^* from 2-point Dixon MRI with Generative Machine Learning—0
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity—0
Tabular Data Imputation: Choose KNN over Deep Learning—0
Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification—0
Data imputation and comparison of custom ensemble models with existing libraries like XGBoost, Scikit learn, etc. for Predictive Equipment failure—0
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation—0
An Efficient Data Imputation Technique for Human Activity Recognition—0
Temporal Graph Signal Decomposition—0
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings—0
Data Imputation through the Identification of Local Anomalies—0
Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications—0
Temporal Variational Implicit Neural Representations—0
The Challenge of Imputation in Explainable Artificial Intelligence Models—0
The influence of missing data mechanisms and simple missing data handling techniques on fairness—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